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 - Class in org.tensorflow.op.core

Raise a exception to abort the process when called.

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

Builds an Abort operation

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

Optional attributes for Abort

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

Computes the absolute value of a tensor.

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

Builds an Abs operation

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

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

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

Builds an AccumulateN operation

AccumulatorApplyGradient - Class in org.tensorflow.op.train

Applies a gradient to a given accumulator.

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

Builds an AccumulatorApplyGradient operation

AccumulatorNumAccumulated - Class in org.tensorflow.op.train

Returns the number of gradients aggregated in the given accumulators.

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

Builds an AccumulatorNumAccumulated operation

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

Parameter accumulators updated by the Adadelta optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Parameter accumulators updated by the Adadelta optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters

Parameter accumulators updated by the Adagrad optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

Parameter accumulators updated by the Adagrad optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

Parameter accumulators updated by the FTRL optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

Parameter accumulators updated by the FTRL optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

Parameter accumulators updated by the MDL Adagrad Light optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters

Parameter accumulators updated by the proximal Adagrad optimization algorithm.

accumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

Parameter accumulators updated by the proximal Adagrad optimization algorithm.

AccumulatorSetGlobalStep - Class in org.tensorflow.op.train

Updates the accumulator with a new value for global_step.

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

Builds an AccumulatorSetGlobalStep operation

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

Extracts the average gradient in the given ConditionalAccumulator.

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

Builds an AccumulatorTakeGradient operation

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

Computes acos of x element-wise.

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

Builds an Acos operation

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

Computes inverse hyperbolic cosine of x element-wise.

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

Builds an Acosh operation

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

Returns x + y element-wise.

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

Builds an Add operation

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

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

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

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.GraphOperationBuilder

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

Add the output of another operation as the next input of the operation being built.

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

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

Add the outputs of another operation as the next inputs of the operation being built.

AddManySparseToTensorsMap - Class in org.tensorflow.op.sparse

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

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

Builds an AddManySparseToTensorsMap operation

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

Optional attributes for AddManySparseToTensorsMap

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

Add all input tensors element wise.

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

Builds an AddN operation

AddSparseToTensorsMap - Class in org.tensorflow.op.sparse

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

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

Builds an AddSparseToTensorsMap operation

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(Operation) - 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.

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<T extends Number> - Class in org.tensorflow.op.image

Adjust the contrast of one or more images.

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

Builds an AdjustContrast operation

AdjustHue<T extends Number> - Class in org.tensorflow.op.image

Adjust the hue of one or more images.

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

Builds an AdjustHue operation

AdjustSaturation<T extends Number> - Class in org.tensorflow.op.image

Adjust the saturation of one or more images.

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

Builds an AdjustSaturation operation

adjX(Boolean) - Static method in class org.tensorflow.op.core.BatchMatMulV2

adjX(Boolean) - Method in class org.tensorflow.op.core.BatchMatMulV2.Options

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.core.BatchMatMulV2

adjY(Boolean) - Method in class org.tensorflow.op.core.BatchMatMulV2.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 - Class in org.tensorflow.op.core

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

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

Builds an All operation

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

Optional attributes for All

AllCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a learned unigram distribution.

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

Builds an AllCandidateSampler operation

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 Number> - Class in org.tensorflow.op.collective

Mutually reduces multiple tensors of identical type and shape.

AllReduce.Options - Class in org.tensorflow.op.collective

Optional attributes for AllReduce

AllToAll<T> - Class in org.tensorflow.op.core

An Op to exchange data across TPU replicas.

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

Returns the argument of a complex number.

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

Builds an Angle operation

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

Builds an Angle operation

AnonymousIterator - Class in org.tensorflow.op.data

A container for an iterator resource.

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

Builds an AnonymousIterator operation

AnonymousIteratorV2 - Class in org.tensorflow.op.core

A container for an iterator resource.

antialias(Boolean) - Static method in class org.tensorflow.op.core.ScaleAndTranslate

antialias(Boolean) - Method in class org.tensorflow.op.core.ScaleAndTranslate.Options

antialias(Boolean) - Static method in class org.tensorflow.op.core.ScaleAndTranslateGrad

antialias(Boolean) - Method in class org.tensorflow.op.core.ScaleAndTranslateGrad.Options

Any - Class in org.tensorflow.op.core

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

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

Builds an Any operation

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

Optional attributes for Any

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

Update '*var' according to the adadelta scheme.

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

Builds an ApplyAdadelta operation

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

Optional attributes for ApplyAdadelta

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

Update '*var' according to the adagrad scheme.

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

Builds an ApplyAdagrad operation

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

Optional attributes for ApplyAdagrad

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

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

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

Builds an ApplyAdagradDa operation

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

Optional attributes for ApplyAdagradDa

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

Update '*var' according to the Adam algorithm.

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

Builds an ApplyAdam operation

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

Update '*var' according to the AddSign update.

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

Builds an ApplyAddSign operation

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

Optional attributes for ApplyAddSign

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

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

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

Builds an ApplyCenteredRmsProp operation

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

Optional attributes for ApplyCenteredRmsProp

applyControlDependencies(OperationBuilder) - Method in class org.tensorflow.op.Scope

Adds each Operand in controlDependencies as a control input to the provided builder.

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

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

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

Builds an ApplyFtrl operation

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

Optional attributes for ApplyFtrl

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

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

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

Builds an ApplyGradientDescent operation

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

Optional attributes for ApplyGradientDescent

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

Update '*var' according to the momentum scheme.

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

Builds an ApplyMomentum operation

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

Optional attributes for ApplyMomentum

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

Update '*var' according to the AddSign update.

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

Builds an ApplyPowerSign operation

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

Optional attributes for ApplyPowerSign

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

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

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

Builds an ApplyProximalAdagrad operation

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

Optional attributes for ApplyProximalAdagrad

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

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

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

Builds an ApplyProximalGradientDescent operation

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

Optional attributes for ApplyProximalGradientDescent

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

Update '*var' according to the RMSProp algorithm.

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

Builds an ApplyRmsProp operation

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

Optional attributes for ApplyRmsProp

ApproximateEqual - Class in org.tensorflow.op.math

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

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

Builds an ApproximateEqual operation

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

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

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

Builds an ArgMax operation

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

Builds an ArgMax operation

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

4-D.

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

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

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

Builds an ArgMin operation

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

Builds an ArgMin operation

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

Computes the trignometric inverse sine of x element-wise.

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

Builds an Asin operation

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

Computes inverse hyperbolic sine of x element-wise.

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

Builds an Asinh operation

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.AllToAll

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.BatchMatMulV2

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.BoostedTreesAggregateStats

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.CollectiveGather

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

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

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

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.CrossReplicaSum

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.DecodePaddedRaw

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.DrawBoundingBoxesV2

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.EuclideanNorm

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.ExperimentalAutoShardDataset

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

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

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

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

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

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.ExperimentalParseExampleDataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.KMC2ChainInitialization

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

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.MulNoNan

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.NextAfter

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

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

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.OutfeedDequeue

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.Prelinearize

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

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

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

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.ResourceGatherNd

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

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.SamplingDataset

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

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

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.SelectV2

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.ShardDataset

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.SnapshotDataset

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.StatefulRandomBinomial

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

asOutput() - Method in class org.tensorflow.op.core.StatefulStandardNormalV2

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.StatsAggregatorHandleV2

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.StringLower

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

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.TensorListResize

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

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

asOutput() - Method in class org.tensorflow.op.core.TensorListScatterV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.UnicodeEncode

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

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

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.WorkerHeartbeat

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

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.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.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.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.PrefetchDataset

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.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.SparseTensorSliceDataset

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.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.EncodeJpegVariableQuality

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

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

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

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

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

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

Asserts that the given condition is true.

assertThat(Operand<Boolean>, Iterable<Operand<?>>, AssertThat.Options...) - Method in class org.tensorflow.op.Ops

Builds an AssertThat operation

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

Optional attributes for AssertThat

Assign<T> - Class in org.tensorflow.op.core

Update 'ref' by assigning 'value' to it.

assign(Operand<T>, Operand<T>, Assign.Options...) - Method in class org.tensorflow.op.Ops

Builds an Assign operation

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

Optional attributes for Assign

AssignAdd<T> - Class in org.tensorflow.op.core

Update 'ref' by adding 'value' to it.

assignAdd(Operand<T>, Operand<T>, AssignAdd.Options...) - Method in class org.tensorflow.op.Ops

Builds an AssignAdd operation

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

Optional attributes for AssignAdd

AssignAddVariableOp - Class in org.tensorflow.op.core

Adds a value to the current value of a variable.

assignAddVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an AssignAddVariableOp operation

AssignSub<T> - Class in org.tensorflow.op.core

Update 'ref' by subtracting 'value' from it.

assignSub(Operand<T>, Operand<T>, AssignSub.Options...) - Method in class org.tensorflow.op.Ops

Builds an AssignSub operation

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

Optional attributes for AssignSub

AssignSubVariableOp - Class in org.tensorflow.op.core

Subtracts a value from the current value of a variable.

assignSubVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an AssignSubVariableOp operation

AssignVariableOp - Class in org.tensorflow.op.core

Assigns a new value to a variable.

assignVariableOp(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an AssignVariableOp operation

AsString - Class in org.tensorflow.op.dtypes

Converts each entry in the given tensor to strings.

asString(Operand<T>, AsString.Options...) - Method in class org.tensorflow.op.DtypesOps

Builds an AsString operation

AsString.Options - Class in org.tensorflow.op.dtypes

Optional attributes for AsString

async(boolean) - Method in class org.tensorflow.EagerSession.Options

Controls how operations dispatched are actually executed.

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

Computes the trignometric inverse tangent of x element-wise.

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

Builds an Atan operation

Atan2<T extends Number> - Class in org.tensorflow.op.math

Computes arctangent of `y/x` element-wise, respecting signs of the arguments.

atan2(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps

Builds an Atan2 operation

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

Computes inverse hyperbolic tangent of x element-wise.

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

Builds an Atanh operation

audio() - Method in class org.tensorflow.op.audio.DecodeWav

2-D with shape `[length, channels]`.

audio - Variable in class org.tensorflow.op.Ops

audio() - Method in class org.tensorflow.op.Ops

Returns an API for building audio operations

AudioOps - Class in org.tensorflow.op

An API for building audio operations as Ops

AudioSpectrogram - Class in org.tensorflow.op.audio

Produces a visualization of audio data over time.

audioSpectrogram(Operand<Float>, Long, Long, AudioSpectrogram.Options...) - Method in class org.tensorflow.op.AudioOps

Builds an AudioSpectrogram operation

AudioSpectrogram.Options - Class in org.tensorflow.op.audio

Optional attributes for AudioSpectrogram

AudioSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with audio.

audioSummary(Operand<String>, Operand<Float>, Operand<Float>, AudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps

Builds an AudioSummary operation

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<T extends Number> - Class in org.tensorflow.op.nn

Performs average pooling on the input.

avgPool(Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Method in class org.tensorflow.op.NnOps

Builds an AvgPool operation

AvgPool.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool

AvgPool3d<T extends Number> - Class in org.tensorflow.op.nn

Performs 3D average pooling on the input.

avgPool3d(Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Method in class org.tensorflow.op.NnOps

Builds an AvgPool3d operation

AvgPool3d.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool3d

AvgPool3dGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes gradients of average pooling function.

avgPool3dGrad(Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an AvgPool3dGrad operation

AvgPool3dGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for AvgPool3dGrad

AvgPoolGrad<T extends 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(List<Long>) - Static method in class org.tensorflow.op.core.Squeeze

axis(List<Long>) - Method in class org.tensorflow.op.core.Squeeze.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

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<T> - Class in org.tensorflow.op.linalg

Copy a tensor setting everything outside a central band in each innermost matrix

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

Builds an BandPart operation

Barrier - Class in org.tensorflow.op.core

Defines a barrier that persists across different graph executions.

barrier(List<Class<?>>, Barrier.Options...) - Method in class org.tensorflow.op.Ops

Builds an Barrier operation

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

Optional attributes for Barrier

BarrierClose - Class in org.tensorflow.op.core

Closes the given barrier.

barrierClose(Operand<String>, BarrierClose.Options...) - Method in class org.tensorflow.op.Ops

Builds an BarrierClose operation

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

Optional attributes for BarrierClose

BarrierIncompleteSize - Class in org.tensorflow.op.core

Computes the number of incomplete elements in the given barrier.

barrierIncompleteSize(Operand<String>) - Method in class org.tensorflow.op.Ops

Builds an BarrierIncompleteSize operation

BarrierInsertMany - Class in org.tensorflow.op.core

For each key, assigns the respective value to the specified component.

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

Builds an BarrierInsertMany operation

BarrierReadySize - Class in org.tensorflow.op.core

Computes the number of complete elements in the given barrier.

barrierReadySize(Operand<String>) - Method in class org.tensorflow.op.Ops

Builds an BarrierReadySize operation

BarrierTakeMany - Class in org.tensorflow.op.core

Takes the given number of completed elements from a barrier.

barrierTakeMany(Operand<String>, Operand<Integer>, List<Class<?>>, BarrierTakeMany.Options...) - Method in class org.tensorflow.op.Ops

Builds an BarrierTakeMany operation

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

Optional attributes for BarrierTakeMany

Batch - Class in org.tensorflow.op.core

Batches all input tensors nondeterministically.

batch(Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Method in class org.tensorflow.op.Ops

Builds an Batch operation

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

Optional attributes for Batch

BatchCholesky<T extends Number> - Class in org.tensorflow.op.linalg

batchCholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchCholesky operation

BatchCholeskyGrad<T extends Number> - Class in org.tensorflow.op.linalg

batchCholeskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchCholeskyGrad operation

BatchDataset - Class in org.tensorflow.op.data

Creates a dataset that batches `batch_size` elements from `input_dataset`.

BatchDataset.Options - Class in org.tensorflow.op.data

Optional attributes for BatchDataset

batchDim(Long) - Static method in class org.tensorflow.op.core.ReverseSequence

batchDim(Long) - Method in class org.tensorflow.op.core.ReverseSequence.Options

batchDims(Long) - Static method in class org.tensorflow.op.core.Gather

batchDims(Long) - Method in class org.tensorflow.op.core.Gather.Options

batchDims(Long) - Static method in class org.tensorflow.op.core.ResourceGather

batchDims(Long) - Method in class org.tensorflow.op.core.ResourceGather.Options

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

batchedTensors() - Method in class org.tensorflow.op.core.Batch

BatchFft - Class in org.tensorflow.op.signal

batchFft(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchFft operation

BatchFft2d - Class in org.tensorflow.op.signal

batchFft2d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchFft2d operation

BatchFft3d - Class in org.tensorflow.op.signal

batchFft3d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchFft3d operation

BatchIfft - Class in org.tensorflow.op.signal

batchIfft(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchIfft operation

BatchIfft2d - Class in org.tensorflow.op.signal

batchIfft2d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchIfft2d operation

BatchIfft3d - Class in org.tensorflow.op.signal

batchIfft3d(Operand<?>) - Method in class org.tensorflow.op.SignalOps

Builds an BatchIfft3d operation

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<T> - Class in org.tensorflow.op.linalg

Multiplies slices of two tensors in batches.

batchMatMul(Operand<T>, Operand<T>, BatchMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatMul operation

BatchMatMul.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatMul

BatchMatMulV2<T> - Class in org.tensorflow.op.core

Multiplies slices of two tensors in batches.

batchMatMulV2(Operand<T>, Operand<T>, BatchMatMulV2.Options...) - Method in class org.tensorflow.op.Ops

Builds an BatchMatMulV2 operation

BatchMatMulV2.Options - Class in org.tensorflow.op.core

Optional attributes for BatchMatMulV2

BatchMatrixBandPart<T> - Class in org.tensorflow.op.linalg

batchMatrixBandPart(Operand<T>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixBandPart operation

BatchMatrixDeterminant<T> - Class in org.tensorflow.op.linalg

batchMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixDeterminant operation

BatchMatrixDiag<T> - Class in org.tensorflow.op.linalg

batchMatrixDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixDiag operation

BatchMatrixDiagPart<T> - Class in org.tensorflow.op.linalg

batchMatrixDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixDiagPart operation

BatchMatrixInverse<T extends Number> - Class in org.tensorflow.op.linalg

batchMatrixInverse(Operand<T>, BatchMatrixInverse.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixInverse operation

BatchMatrixInverse.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixInverse

BatchMatrixSetDiag<T> - Class in org.tensorflow.op.linalg

batchMatrixSetDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixSetDiag operation

BatchMatrixSolve<T extends Number> - Class in org.tensorflow.op.linalg

batchMatrixSolve(Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixSolve operation

BatchMatrixSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixSolve

BatchMatrixSolveLs<T extends Number> - Class in org.tensorflow.op.linalg

batchMatrixSolveLs(Operand<T>, Operand<T>, Operand<Double>, BatchMatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixSolveLs operation

BatchMatrixSolveLs.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixSolveLs

BatchMatrixTriangularSolve<T extends Number> - Class in org.tensorflow.op.linalg

batchMatrixTriangularSolve(Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchMatrixTriangularSolve operation

BatchMatrixTriangularSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchMatrixTriangularSolve

batchMean() - Method in class org.tensorflow.op.core.FusedBatchNormV3

A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean.

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<T> - Class in org.tensorflow.op.nn

Batch normalization.

batchNormWithGlobalNormalization(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps

Builds an BatchNormWithGlobalNormalization operation

BatchNormWithGlobalNormalizationGrad<T> - Class in org.tensorflow.op.nn

Gradients for batch normalization.

batchNormWithGlobalNormalizationGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps

Builds an BatchNormWithGlobalNormalizationGrad operation

BatchSelfAdjointEig<T extends Number> - Class in org.tensorflow.op.linalg

batchSelfAdjointEig(Operand<T>, BatchSelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchSelfAdjointEig operation

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<T> - Class in org.tensorflow.op.linalg

batchSvd(Operand<T>, BatchSvd.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an BatchSvd operation

BatchSvd.Options - Class in org.tensorflow.op.linalg

Optional attributes for BatchSvd

BatchToSpace<T> - Class in org.tensorflow.op.core

BatchToSpace for 4-D tensors of type T.

batchToSpace(Operand<T>, Operand<U>, Long) - Method in class org.tensorflow.op.Ops

Builds an BatchToSpace operation

BatchToSpaceNd<T> - Class in org.tensorflow.op.core

BatchToSpace for N-D tensors of type T.

batchToSpaceNd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Builds an BatchToSpaceNd operation

batchVariance() - Method in class org.tensorflow.op.core.FusedBatchNormV3

A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance.

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

beginMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

beginMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options

benefits() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

Parameter benefits updated by the MDL Adagrad Light optimization algorithm.

BesselI0e<T extends Number> - Class in org.tensorflow.op.math

Computes the Bessel i0e function of `x` element-wise.

besselI0e(Operand<T>) - Method in class org.tensorflow.op.MathOps

Builds an BesselI0e operation

BesselI1e<T extends Number> - Class in org.tensorflow.op.math

Computes the Bessel i1e function of `x` element-wise.

besselI1e(Operand<T>) - Method in class org.tensorflow.op.MathOps

Builds an BesselI1e operation

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

Compute the regularized incomplete beta integral \\(I_x(a, b)\\).

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

Builds an Betainc operation

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<T> - Class in org.tensorflow.op.nn

Adds `bias` to `value`.

biasAdd(Operand<T>, Operand<T>, BiasAdd.Options...) - Method in class org.tensorflow.op.NnOps

Builds an BiasAdd operation

BiasAdd.Options - Class in org.tensorflow.op.nn

Optional attributes for BiasAdd

BiasAddGrad<T> - Class in org.tensorflow.op.nn

The backward operation for "BiasAdd" on the "bias" tensor.

biasAddGrad(Operand<T>, BiasAddGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an BiasAddGrad operation

BiasAddGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for BiasAddGrad

biases() - Method in class org.tensorflow.op.nn.CudnnRnnParamsToCanonical

BigQueryReader - Class in org.tensorflow.op.io

A Reader that outputs rows from a BigQuery table as tensorflow Examples.

bigQueryReader(String, String, String, List<String>, Long, BigQueryReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an BigQueryReader operation

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

Counts the number of occurrences of each value in an integer array.

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

Builds an Bincount operation

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<U> - Class in org.tensorflow.op.core

Bitcasts a tensor from one type to another without copying data.

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

Builds an Bitcast operation

bitwise - Variable in class org.tensorflow.op.Ops

bitwise() - Method in class org.tensorflow.op.Ops

Returns an API for building bitwise operations

BitwiseAnd<T extends Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise AND of `x` and `y`.

bitwiseAnd(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an BitwiseAnd operation

BitwiseOps - Class in org.tensorflow.op

An API for building bitwise operations as Ops

BitwiseOr<T extends Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise OR of `x` and `y`.

bitwiseOr(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an BitwiseOr operation

BitwiseXor<T extends Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise XOR of `x` and `y`.

bitwiseXor(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an BitwiseXor operation

booleanValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Boolean tensor.

BoostedTreesAggregateStats - Class in org.tensorflow.op.core

Aggregates the summary of accumulated stats for the batch.

BoostedTreesBucketize - Class in org.tensorflow.op.core

Bucketize each feature based on bucket boundaries.

BoostedTreesCalculateBestFeatureSplit - Class in org.tensorflow.op.core

Calculates gains for each feature and returns the best possible split information for the feature.

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

Optional attributes for BoostedTreesCalculateBestFeatureSplit

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<T extends Number> - Class in org.tensorflow.op.core

Return the shape of s0 op s1 with broadcast.

broadcastDynamicShape(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an BroadcastDynamicShape operation

BroadcastGradientArgs<T extends Number> - Class in org.tensorflow.op.core

Return the reduction indices for computing gradients of s0 op s1 with broadcast.

BroadcastRecv<T extends Number> - Class in org.tensorflow.op.collective

Receives a tensor value broadcast from another device.

BroadcastSend<T extends Number> - Class in org.tensorflow.op.collective

Broadcasts a tensor value to one or more other devices.

BroadcastTo<T> - Class in org.tensorflow.op.core

Broadcast an array for a compatible shape.

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

Builds an BroadcastTo operation

bucketBoundaries() - Method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceGetBucketBoundaries

float; List of Rank 1 Tensors each containing the bucket boundaries for a feature.

Bucketize - Class in org.tensorflow.op.core

Bucketizes 'input' based on 'boundaries'.

bucketize(Operand<T>, List<Float>) - Method in class org.tensorflow.op.Ops

Builds an Bucketize operation

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.EagerSession.Options

Builds an eager session with the selected options.

build() - Method in class org.tensorflow.GraphOperationBuilder

Add the GraphOperation being built to the Graph.

build() - Method in interface org.tensorflow.OperationBuilder

Build the Operation.

buildSubgraph(Graph, Output<?>[], Output<?>[]) - Method in interface org.tensorflow.Graph.WhileSubgraphBuilder

To be overridden by user with code to build conditional or body subgraph for a while loop

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.

bytesValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar String tensor.

C

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

cardinality() - Method in class org.tensorflow.op.core.ExperimentalDatasetCardinality

The cardinality of `input_dataset`.

Cast<U> - Class in org.tensorflow.op.dtypes

Cast x of type SrcT to y of DstT.

cast(Operand<T>, Class<U>, Cast.Options...) - Method in class org.tensorflow.op.DtypesOps

Builds an Cast operation

Cast.Options - Class in org.tensorflow.op.dtypes

Optional attributes for Cast

Ceil<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise smallest integer not less than x.

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

Builds an Ceil operation

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.core.UnicodeDecode

A 1D int32 Tensor containing the decoded codepoints.

charValues() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

A 1D int32 Tensor containing the decoded codepoints.

CheckNumerics<T extends Number> - Class in org.tensorflow.op.math

Checks a tensor for NaN and Inf values.

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

Builds an CheckNumerics operation

Cholesky<T> - Class in org.tensorflow.op.linalg

Computes the Cholesky decomposition of one or more square matrices.

cholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an Cholesky operation

CholeskyGrad<T extends Number> - Class in org.tensorflow.op.linalg

Computes the reverse mode backpropagated gradient of the Cholesky algorithm.

choleskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an CholeskyGrad operation

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

clipBoxes(Boolean) - Static method in class org.tensorflow.op.core.CombinedNonMaxSuppression

clipBoxes(Boolean) - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression.Options

ClipByValue<T> - Class in org.tensorflow.op.core

Clips tensor values to a specified min and max.

clipByValue(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an ClipByValue operation

close() - Method in class org.tensorflow.EagerSession

close() - Method in class org.tensorflow.Graph

Release resources associated with the Graph.

close() - Method in class org.tensorflow.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

CollectiveGather<T extends Number> - Class in org.tensorflow.op.core

Mutually accumulates multiple tensors of identical type and shape.

CollectivePermute<T> - Class in org.tensorflow.op.core

An Op to permute tensors across replicated TPU instances.

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.

CombinedNonMaxSuppression - Class in org.tensorflow.op.core

Greedily selects a subset of bounding boxes in descending order of score,

combinedNonMaxSuppression(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, Operand<Float>, CombinedNonMaxSuppression.Options...) - Method in class org.tensorflow.op.Ops

Builds an CombinedNonMaxSuppression operation

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

Optional attributes for CombinedNonMaxSuppression

combiners(List<String>) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseBatch

combiners(List<String>) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseBatch.Options

combiners(List<String>) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch

combiners(List<String>) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch.Options

CompareAndBitpack - Class in org.tensorflow.op.math

Compare values of `input` to `threshold` and pack resulting bits into a `uint8`.

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

Builds an CompareAndBitpack operation

Complex<U> - Class in org.tensorflow.op.dtypes

Converts two real numbers to a complex number.

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

Builds an Complex operation

ComplexAbs<U extends Number> - Class in org.tensorflow.op.math

Computes the complex absolute value of a tensor.

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

Builds an ComplexAbs operation

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

Builds an ComplexAbs operation

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

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

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

ComputeAccidentalHits - Class in org.tensorflow.op.nn

Computes the ids of the positions in sampled_candidates that match true_labels.

computeAccidentalHits(Operand<Long>, Operand<Long>, Long, ComputeAccidentalHits.Options...) - Method in class org.tensorflow.op.NnOps

Builds an ComputeAccidentalHits operation

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<T> - Class in org.tensorflow.op.core

Concatenates tensors along one dimension.

concat(Iterable<Operand<T>>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an Concat operation

ConcatenateDataset - Class in org.tensorflow.op.data

Creates a dataset that concatenates `input_dataset` with `another_dataset`.

ConditionalAccumulator - Class in org.tensorflow.op.train

A conditional accumulator for aggregating gradients.

conditionalAccumulator(Class<T>, Shape, ConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ConditionalAccumulator operation

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

Optional attributes for ConditionalAccumulator

config(byte[]) - Method in class org.tensorflow.EagerSession.Options

Configures the session based on the data found in the provided buffer, which is serialized TensorFlow config proto.

ConfigureDistributedTPU - Class in org.tensorflow.op.core

Sets up the centralized structures for a distributed TPU system.

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

Optional attributes for ConfigureDistributedTPU

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

Returns the complex conjugate of a complex number.

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

Builds an Conj operation

ConjugateTranspose<T> - Class in org.tensorflow.op.linalg

Shuffle dimensions of x according to a permutation and conjugate the result.

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

Builds an ConjugateTranspose operation

Constant<T> - Class in org.tensorflow.op.core

An operator producing a constant value.

constant(long[], FloatBuffer) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[], DoubleBuffer) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(Object, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(Class<T>, long[], ByteBuffer) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(String) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[], IntBuffer) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(String, Charset) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[], LongBuffer) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(double[][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(byte[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(float[][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(int[][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(boolean) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

constant(long[][][][][][]) - Method in class org.tensorflow.op.Ops

Builds an Constant operation

ConsumeMutexLock - Class in org.tensorflow.op.core

This op consumes a lock created by `MutexLock`.

consumeMutexLock(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an ConsumeMutexLock operation

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.ExperimentalStatsAggregatorHandle

container(String) - Method in class org.tensorflow.op.core.ExperimentalStatsAggregatorHandle.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.StatsAggregatorHandleV2

container(String) - Method in class org.tensorflow.op.core.StatsAggregatorHandleV2.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.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.EncodeJpegVariableQuality

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 - Class in org.tensorflow.op.core

Does nothing.

controlTrigger() - Method in class org.tensorflow.op.Ops

Builds an ControlTrigger operation

Conv2d<T extends Number> - Class in org.tensorflow.op.nn

Computes a 2-D convolution given 4-D `input` and `filter` tensors.

conv2d(Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv2d operation

Conv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2d

Conv2dBackpropFilter<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of convolution with respect to the filter.

conv2dBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv2dBackpropFilter operation

Conv2dBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2dBackpropFilter

Conv2dBackpropInput<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of convolution with respect to the input.

conv2dBackpropInput(Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv2dBackpropInput operation

Conv2dBackpropInput.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv2dBackpropInput

Conv3d<T extends Number> - Class in org.tensorflow.op.nn

Computes a 3-D convolution given 5-D `input` and `filter` tensors.

conv3d(Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv3d operation

Conv3d.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv3d

Conv3dBackpropFilter<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of 3-D convolution with respect to the filter.

conv3dBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv3dBackpropFilter operation

Conv3dBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for Conv3dBackpropFilter

Conv3dBackpropInput<U extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of 3-D convolution with respect to the input.

conv3dBackpropInput(Operand<T>, Operand<U>, Operand<U>, List<Long>, String, Conv3dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Builds an Conv3dBackpropInput operation

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

Computes cos of x element-wise.

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

Builds an Cos operation

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

Computes hyperbolic cosine of x element-wise.

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

Builds an Cosh operation

count() - Method in class org.tensorflow.op.core.UniqueWithCounts

A 1-D Tensor.

CountUpTo<T extends Number> - Class in org.tensorflow.op.core

Increments 'ref' until it reaches 'limit'.

countUpTo(Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Builds an CountUpTo operation

cpuBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset

cpuBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options

create() - Static method in class org.tensorflow.EagerSession

Returns an EagerSession configured with default options.

create(Scope, Operand<Float>, Long, Long, AudioSpectrogram.Options...) - Static method in class org.tensorflow.op.audio.AudioSpectrogram

Factory method to create a class wrapping a new AudioSpectrogram operation.

create(Scope, Operand<String>, DecodeWav.Options...) - Static method in class org.tensorflow.op.audio.DecodeWav

Factory method to create a class wrapping a new DecodeWav operation.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.audio.EncodeWav

Factory method to create a class wrapping a new EncodeWav operation.

create(Scope, Operand<Float>, Operand<Integer>, Mfcc.Options...) - Static method in class org.tensorflow.op.audio.Mfcc

Factory method to create a class wrapping a new Mfcc operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseAnd

Factory method to create a class wrapping a new BitwiseAnd operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseOr

Factory method to create a class wrapping a new BitwiseOr operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseXor

Factory method to create a class wrapping a new BitwiseXor operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.bitwise.Invert

Factory method to create a class wrapping a new Invert operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.LeftShift

Factory method to create a class wrapping a new LeftShift operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.RightShift

Factory method to create a class wrapping a new RightShift operation.

create(Scope, Operand<T>, Long, Long, Long, String, String, List<Long>, AllReduce.Options...) - Static method in class org.tensorflow.op.collective.AllReduce

Factory method to create a class wrapping a new AllReduce operation.

create(Scope, Class<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.collective.BroadcastRecv

Factory method to create a class wrapping a new BroadcastRecv operation.

create(Scope, Operand<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.collective.BroadcastSend

Factory method to create a class wrapping a new BroadcastSend operation.

create(Scope, Abort.Options...) - Static method in class org.tensorflow.op.core.Abort

Factory method to create a class wrapping a new Abort operation.

create(Scope, Operand<Boolean>, Operand<T>, All.Options...) - Static method in class org.tensorflow.op.core.All

Factory method to create a class wrapping a new All operation.

create(Scope, Operand<T>, Operand<Integer>, Long, Long, Long) - Static method in class org.tensorflow.op.core.AllToAll

Factory method to create a class wrapping a new AllToAll operation.

create(Scope, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.AnonymousIteratorV2

Factory method to create a class wrapping a new AnonymousIteratorV2 operation.

create(Scope, Operand<Boolean>, Operand<T>, Any.Options...) - Static method in class org.tensorflow.op.core.Any

Factory method to create a class wrapping a new Any operation.

create(Scope, Operand<Boolean>, Iterable<Operand<?>>, AssertThat.Options...) - Static method in class org.tensorflow.op.core.AssertThat

Factory method to create a class wrapping a new AssertThat operation.

create(Scope, Operand<T>, Operand<T>, Assign.Options...) - Static method in class org.tensorflow.op.core.Assign

Factory method to create a class wrapping a new Assign operation.

create(Scope, Operand<T>, Operand<T>, AssignAdd.Options...) - Static method in class org.tensorflow.op.core.AssignAdd

Factory method to create a class wrapping a new AssignAdd operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignAddVariableOp

Factory method to create a class wrapping a new AssignAddVariableOp operation.

create(Scope, Operand<T>, Operand<T>, AssignSub.Options...) - Static method in class org.tensorflow.op.core.AssignSub

Factory method to create a class wrapping a new AssignSub operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignSubVariableOp

Factory method to create a class wrapping a new AssignSubVariableOp operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.AssignVariableOp

Factory method to create a class wrapping a new AssignVariableOp operation.

create(Scope, List<Class<?>>, Barrier.Options...) - Static method in class org.tensorflow.op.core.Barrier

Factory method to create a class wrapping a new Barrier operation.

create(Scope, Operand<String>, BarrierClose.Options...) - Static method in class org.tensorflow.op.core.BarrierClose

Factory method to create a class wrapping a new BarrierClose operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.BarrierIncompleteSize

Factory method to create a class wrapping a new BarrierIncompleteSize operation.

create(Scope, Operand<String>, Operand<String>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.BarrierInsertMany

Factory method to create a class wrapping a new BarrierInsertMany operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.BarrierReadySize

Factory method to create a class wrapping a new BarrierReadySize operation.

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 wrapping a new BarrierTakeMany operation.

create(Scope, Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Static method in class org.tensorflow.op.core.Batch

Factory method to create a class wrapping a new Batch operation.

create(Scope, Operand<T>, Operand<T>, BatchMatMulV2.Options...) - Static method in class org.tensorflow.op.core.BatchMatMulV2

Factory method to create a class wrapping a new BatchMatMulV2 operation.

create(Scope, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.core.BatchToSpace

Factory method to create a class wrapping a new BatchToSpace operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.BatchToSpaceNd

Factory method to create a class wrapping a new BatchToSpaceNd operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Bitcast

Factory method to create a class wrapping a new Bitcast operation.

create(Scope, Operand<Integer>, Operand<Float>, Operand<Float>, Operand<Integer>, Long, Long) - Static method in class org.tensorflow.op.core.BoostedTreesAggregateStats

Factory method to create a class wrapping a new BoostedTreesAggregateStats operation.

create(Scope, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesBucketize

Factory method to create a class wrapping a new BoostedTreesBucketize operation.

create(Scope, Operand<Integer>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, BoostedTreesCalculateBestFeatureSplit.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

Factory method to create a class wrapping a new BoostedTreesCalculateBestFeatureSplit operation.

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 wrapping a new BoostedTreesCalculateBestGainsPerFeature operation.

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 wrapping a new BoostedTreesCenterBias operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.BoostedTreesCreateEnsemble

Factory method to create a class wrapping a new BoostedTreesCreateEnsemble operation.

create(Scope, Operand<?>, Operand<Float>, Operand<Long>, BoostedTreesCreateQuantileStreamResource.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesCreateQuantileStreamResource

Factory method to create a class wrapping a new BoostedTreesCreateQuantileStreamResource operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.BoostedTreesDeserializeEnsemble

Factory method to create a class wrapping a new BoostedTreesDeserializeEnsemble operation.

create(Scope, BoostedTreesEnsembleResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

Factory method to create a class wrapping a new BoostedTreesEnsembleResourceHandleOp operation.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

Factory method to create a class wrapping a new BoostedTreesExampleDebugOutputs operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Factory method to create a class wrapping a new BoostedTreesGetEnsembleStates operation.

create(Scope, Iterable<Operand<Float>>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.BoostedTreesMakeQuantileSummaries

Factory method to create a class wrapping a new BoostedTreesMakeQuantileSummaries operation.

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 wrapping a new BoostedTreesMakeStatsSummary operation.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesPredict

Factory method to create a class wrapping a new BoostedTreesPredict operation.

create(Scope, Operand<?>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceAddSummaries

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceAddSummaries operation.

create(Scope, Operand<?>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceDeserialize

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceDeserialize operation.

create(Scope, Operand<?>, Operand<Long>, BoostedTreesQuantileStreamResourceFlush.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceFlush

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceFlush operation.

create(Scope, Operand<?>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceGetBucketBoundaries

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceGetBucketBoundaries operation.

create(Scope, BoostedTreesQuantileStreamResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesQuantileStreamResourceHandleOp

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceHandleOp operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesSerializeEnsemble

Factory method to create a class wrapping a new BoostedTreesSerializeEnsemble operation.

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 wrapping a new BoostedTreesTrainingPredict operation.

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 wrapping a new BoostedTreesUpdateEnsemble operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape

Factory method to create a class wrapping a new BroadcastDynamicShape operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs

Factory method to create a class wrapping a new BroadcastGradientArgs operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.BroadcastTo

Factory method to create a class wrapping a new BroadcastTo operation.

create(Scope, Operand<T>, List<Float>) - Static method in class org.tensorflow.op.core.Bucketize

Factory method to create a class wrapping a new Bucketize operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ClipByValue

Factory method to create a class wrapping a new ClipByValue operation.

create(Scope, Operand<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.core.CollectiveGather

Factory method to create a class wrapping a new CollectiveGather operation.

create(Scope, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.CollectivePermute

Factory method to create a class wrapping a new CollectivePermute operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, Operand<Float>, CombinedNonMaxSuppression.Options...) - Static method in class org.tensorflow.op.core.CombinedNonMaxSuppression

Factory method to create a class wrapping a new CombinedNonMaxSuppression operation.

create(Scope, Iterable<Operand<T>>, Operand<U>) - Static method in class org.tensorflow.op.core.Concat

Factory method to create a class wrapping a new Concat operation.

create(Scope, ConfigureDistributedTPU.Options...) - Static method in class org.tensorflow.op.core.ConfigureDistributedTPU

Factory method to create a class wrapping a new ConfigureDistributedTPU operation.

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[], IntBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT32 constant with data from the given buffer.

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, long[], FloatBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.FLOAT constant with data from the given buffer.

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, 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) - 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[], LongBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT64 constant with data from the given buffer.

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, String) - Static method in class org.tensorflow.op.core.Constant

Creates a String constant using the default, UTF-8 encoding.

create(Scope, String, Charset) - Static method in class org.tensorflow.op.core.Constant

Creates a String constant using a specified encoding.

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, Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a constant with data from the given buffer.

create(Scope, Object, Class<T>) - Static method in class org.tensorflow.op.core.Constant

Create a constant from a Java object.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ConsumeMutexLock

Factory method to create a class wrapping a new ConsumeMutexLock operation.

create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger

Factory method to create a class wrapping a new ControlTrigger operation.

create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.CountUpTo

Factory method to create a class wrapping a new CountUpTo operation.

create(Scope, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.CrossReplicaSum

Factory method to create a class wrapping a new CrossReplicaSum operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<?>, CudnnRNNBackpropV3.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

Factory method to create a class wrapping a new CudnnRNNBackpropV3 operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, CudnnRNNV3.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNV3

Factory method to create a class wrapping a new CudnnRNNV3 operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientIdentity

Factory method to create a class wrapping a new DebugGradientIdentity operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientRefIdentity

Factory method to create a class wrapping a new DebugGradientRefIdentity operation.

create(Scope, Operand<String>, Operand<Integer>, Class<T>, DecodePaddedRaw.Options...) - Static method in class org.tensorflow.op.core.DecodePaddedRaw

Factory method to create a class wrapping a new DecodePaddedRaw operation.

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 wrapping a new DecodeProto operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DeepCopy

Factory method to create a class wrapping a new DeepCopy operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.DeleteIterator

Factory method to create a class wrapping a new DeleteIterator operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DeleteSessionTensor

Factory method to create a class wrapping a new DeleteSessionTensor operation.

create(Scope, Operand<?>, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp

Factory method to create a class wrapping a new DestroyResourceOp operation.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable

Factory method to create a class wrapping a new DestroyTemporaryVariable operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.DrawBoundingBoxesV2

Factory method to create a class wrapping a new DrawBoundingBoxesV2 operation.

create(Scope, Operand<T>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.DynamicPartition

Factory method to create a class wrapping a new DynamicPartition operation.

create(Scope, Iterable<Operand<Integer>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.DynamicStitch

Factory method to create a class wrapping a new DynamicStitch operation.

create(Scope, Operand<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 wrapping a new EditDistance operation.

create(Scope, Operand<Integer>, Class<T>, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty

Factory method to create a class wrapping a new Empty operation.

create(Scope, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.EmptyTensorList

Factory method to create a class wrapping a new EmptyTensorList operation.

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 wrapping a new EncodeProto operation.

create(Scope, Iterable<Operand<Integer>>, Operand<String>, EnqueueTPUEmbeddingIntegerBatch.Options...) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingIntegerBatch

Factory method to create a class wrapping a new EnqueueTPUEmbeddingIntegerBatch operation.

create(Scope, Iterable<Operand<T>>, Iterable<Operand<U>>, Iterable<Operand<V>>, Operand<String>, EnqueueTPUEmbeddingSparseBatch.Options...) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseBatch

Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseBatch operation.

create(Scope, Iterable<Operand<T>>, Iterable<Operand<U>>, Iterable<Operand<V>>, Operand<String>, List<Long>, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch

Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseTensorBatch operation.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.EnsureShape

Factory method to create a class wrapping a new EnsureShape operation.

create(Scope, Operand<T>, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter

Factory method to create a class wrapping a new Enter operation.

create(Scope, Operand<T>, Operand<U>, EuclideanNorm.Options...) - Static method in class org.tensorflow.op.core.EuclideanNorm

Factory method to create a class wrapping a new EuclideanNorm operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exit

Factory method to create a class wrapping a new Exit operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ExpandDims

Factory method to create a class wrapping a new ExpandDims operation.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalAutoShardDataset

Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalBytesProducedStatsDataset

Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.

create(Scope, Iterable<Operand<?>>, Long, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalChooseFastestDataset

Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ExperimentalDatasetCardinality

Factory method to create a class wrapping a new ExperimentalDatasetCardinality operation.

create(Scope, Operand<?>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.ExperimentalDatasetToTFRecord

Factory method to create a class wrapping a new ExperimentalDatasetToTFRecord operation.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalDenseToSparseBatchDataset

Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalLatencyStatsDataset

Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.ExperimentalMatchingFilesDataset

Factory method to create a class wrapping a new ExperimentalMatchingFilesDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalMaxIntraOpParallelismDataset

Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<?>>, List<Shape>, List<Class<?>>, List<Shape>, ExperimentalParseExampleDataset.Options...) - Static method in class org.tensorflow.op.core.ExperimentalParseExampleDataset

Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalPrivateThreadPoolDataset

Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.

create(Scope, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalRandomDataset

Factory method to create a class wrapping a new ExperimentalRandomDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalRebatchDataset

Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.

create(Scope, Operand<?>, Operand<?>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalSetStatsAggregatorDataset

Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalSlidingWindowDataset

Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.

create(Scope, Operand<String>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalSqlDataset

Factory method to create a class wrapping a new ExperimentalSqlDataset operation.

create(Scope, ExperimentalStatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.core.ExperimentalStatsAggregatorHandle

Factory method to create a class wrapping a new ExperimentalStatsAggregatorHandle operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ExperimentalStatsAggregatorSummary

Factory method to create a class wrapping a new ExperimentalStatsAggregatorSummary operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ExperimentalUnbatchDataset

Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.

create(Scope, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.ExtractVolumePatches

Factory method to create a class wrapping a new ExtractVolumePatches operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Fill

Factory method to create a class wrapping a new Fill operation.

create(Scope, Operand<T>, Operand<String>) - Static method in class org.tensorflow.op.core.Fingerprint

Factory method to create a class wrapping a new Fingerprint operation.

create(Scope, Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormGradV3.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV3

Factory method to create a class wrapping a new FusedBatchNormGradV3 operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormV3.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNormV3

Factory method to create a class wrapping a new FusedBatchNormV3 operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Gather.Options...) - Static method in class org.tensorflow.op.core.Gather

Factory method to create a class wrapping a new Gather operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.GatherNd

Factory method to create a class wrapping a new GatherNd operation.

create(Scope, Operand<?>, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.GcsConfigureBlockCache

Factory method to create a class wrapping a new GcsConfigureBlockCache operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.GcsConfigureCredentials

Factory method to create a class wrapping a new GcsConfigureCredentials operation.

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 wrapping a new GenerateBigQueryReaderPartitions operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GetSessionHandle

Factory method to create a class wrapping a new GetSessionHandle operation.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.GetSessionTensor

Factory method to create a class wrapping a new GetSessionTensor operation.

create(Scope, Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients

Adds gradients computation ops to the graph according to scope.

create(Scope, Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients

Adds gradients computation ops to the graph according to scope.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GuaranteeConst

Factory method to create a class wrapping a new GuaranteeConst operation.

create(Scope, Class<T>, Class<U>, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable

Factory method to create a class wrapping a new HashTable operation.

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 wrapping a new HistogramFixedWidth operation.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth

Factory method to create a class wrapping a new HistogramFixedWidth operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Identity

Factory method to create a class wrapping a new Identity operation.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.IdentityN

Factory method to create a class wrapping a new IdentityN operation.

create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst

Factory method to create a class wrapping a new ImmutableConst operation.

create(Scope, Class<T>, Shape) - Static method in class org.tensorflow.op.core.InfeedDequeue

Factory method to create a class wrapping a new InfeedDequeue operation.

create(Scope, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.InfeedDequeueTuple

Factory method to create a class wrapping a new InfeedDequeueTuple operation.

create(Scope, Operand<T>, InfeedEnqueue.Options...) - Static method in class org.tensorflow.op.core.InfeedEnqueue

Factory method to create a class wrapping a new InfeedEnqueue operation.

create(Scope, Operand<?>, InfeedEnqueuePrelinearizedBuffer.Options...) - Static method in class org.tensorflow.op.core.InfeedEnqueuePrelinearizedBuffer

Factory method to create a class wrapping a new InfeedEnqueuePrelinearizedBuffer operation.

create(Scope, Iterable<Operand<?>>, List<Shape>, InfeedEnqueueTuple.Options...) - Static method in class org.tensorflow.op.core.InfeedEnqueueTuple

Factory method to create a class wrapping a new InfeedEnqueueTuple operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.InitializeTable

Factory method to create a class wrapping a new InitializeTable operation.

create(Scope, Operand<?>, Operand<String>, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

Factory method to create a class wrapping a new InitializeTableFromTextFile operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceAdd

Factory method to create a class wrapping a new InplaceAdd operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceSub

Factory method to create a class wrapping a new InplaceSub operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceUpdate

Factory method to create a class wrapping a new InplaceUpdate operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IsBoostedTreesEnsembleInitialized

Factory method to create a class wrapping a new IsBoostedTreesEnsembleInitialized operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IsBoostedTreesQuantileStreamResourceInitialized

Factory method to create a class wrapping a new IsBoostedTreesQuantileStreamResourceInitialized operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsVariableInitialized

Factory method to create a class wrapping a new IsVariableInitialized operation.

create(Scope, Operand<Float>, Operand<Long>) - Static method in class org.tensorflow.op.core.KMC2ChainInitialization

Factory method to create a class wrapping a new KMC2ChainInitialization operation.

create(Scope, Operand<Float>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.KmeansPlusPlusInitialization

Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.

create(Scope, Operand<T>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LinSpace

Factory method to create a class wrapping a new LinSpace operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingADAMParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingCenteredRMSPropParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingCenteredRMSPropParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMDLAdagradLightParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingMDLAdagradLightParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingMomentumParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingMomentumParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingMomentumParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingProximalAdagradParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParameters operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Long, Long, LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParametersGradAccumDebug

Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParametersGradAccumDebug operation.

create(Scope, Operand<Float>, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingStochasticGradientDescentParameters

Factory method to create a class wrapping a new LoadTPUEmbeddingStochasticGradientDescentParameters operation.

create(Scope, Operand<?>, Class<T>, Class<U>) - Static method in class org.tensorflow.op.core.LookupTableExport

Factory method to create a class wrapping a new LookupTableExport operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableFind

Factory method to create a class wrapping a new LookupTableFind operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableImport

Factory method to create a class wrapping a new LookupTableImport operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableInsert

Factory method to create a class wrapping a new LookupTableInsert operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.LookupTableRemove

Factory method to create a class wrapping a new LookupTableRemove operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.LookupTableSize

Factory method to create a class wrapping a new LookupTableSize operation.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LoopCond

Factory method to create a class wrapping a new LoopCond operation.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.LowerBound

Factory method to create a class wrapping a new LowerBound operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LowerBound

Factory method to create a class wrapping a new LowerBound operation using default output types.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Lu

Factory method to create a class wrapping a new Lu operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Lu

Factory method to create a class wrapping a new Lu operation using default output types.

create(Scope, List<Class<?>>, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear

Factory method to create a class wrapping a new MapClear operation.

create(Scope, List<Class<?>>, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize

Factory method to create a class wrapping a new MapIncompleteSize operation.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek

Factory method to create a class wrapping a new MapPeek operation.

create(Scope, List<Class<?>>, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize

Factory method to create a class wrapping a new MapSize operation.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage

Factory method to create a class wrapping a new MapStage operation.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage

Factory method to create a class wrapping a new MapUnstage operation.

create(Scope, Operand<Integer>, List<Class<?>>, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

Factory method to create a class wrapping a new MapUnstageNoKey operation.

create(Scope, Operand<T>, Operand<U>, Max.Options...) - Static method in class org.tensorflow.op.core.Max

Factory method to create a class wrapping a new Max operation.

create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.Merge

Factory method to create a class wrapping a new Merge operation.

create(Scope, Operand<T>, Operand<U>, Min.Options...) - Static method in class org.tensorflow.op.core.Min

Factory method to create a class wrapping a new Min operation.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPad

Factory method to create a class wrapping a new MirrorPad operation.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad

Factory method to create a class wrapping a new MirrorPadGrad operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.MulNoNan

Factory method to create a class wrapping a new MulNoNan operation.

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 wrapping a new MutableDenseHashTable operation.

create(Scope, Class<T>, Class<U>, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable

Factory method to create a class wrapping a new MutableHashTable operation.

create(Scope, Class<T>, Class<U>, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

Factory method to create a class wrapping a new MutableHashTableOfTensors operation.

create(Scope, Mutex.Options...) - Static method in class org.tensorflow.op.core.Mutex

Factory method to create a class wrapping a new Mutex operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.MutexLock

Factory method to create a class wrapping a new MutexLock operation.

create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.core.NcclAllReduce

Factory method to create a class wrapping a new NcclAllReduce operation.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.NcclBroadcast

Factory method to create a class wrapping a new NcclBroadcast operation.

create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.core.NcclReduce

Factory method to create a class wrapping a new NcclReduce operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Long>) - Static method in class org.tensorflow.op.core.NearestNeighbors

Factory method to create a class wrapping a new NearestNeighbors operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.NextAfter

Factory method to create a class wrapping a new NextAfter operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NextIteration

Factory method to create a class wrapping a new NextIteration operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.NonDeterministicInts

Factory method to create a class wrapping a new NonDeterministicInts operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NonDeterministicInts

Factory method to create a class wrapping a new NonDeterministicInts operation using default output types.

create(Scope) - Static method in class org.tensorflow.op.core.NoOp

Factory method to create a class wrapping a new NoOp operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Operand<U>, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot

Factory method to create a class wrapping a new OneHot operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OnesLike

Factory method to create a class wrapping a new OnesLike operation.

create(Scope, List<Class<?>>, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear

Factory method to create a class wrapping a new OrderedMapClear operation.

create(Scope, List<Class<?>>, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

Factory method to create a class wrapping a new OrderedMapIncompleteSize operation.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek

Factory method to create a class wrapping a new OrderedMapPeek operation.

create(Scope, List<Class<?>>, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize

Factory method to create a class wrapping a new OrderedMapSize operation.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage

Factory method to create a class wrapping a new OrderedMapStage operation.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

Factory method to create a class wrapping a new OrderedMapUnstage operation.

create(Scope, Operand<Integer>, List<Class<?>>, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

Factory method to create a class wrapping a new OrderedMapUnstageNoKey operation.

create(Scope, Class<T>, Shape, OutfeedDequeue.Options...) - Static method in class org.tensorflow.op.core.OutfeedDequeue

Factory method to create a class wrapping a new OutfeedDequeue operation.

create(Scope, List<Class<?>>, List<Shape>, OutfeedDequeueTuple.Options...) - Static method in class org.tensorflow.op.core.OutfeedDequeueTuple

Factory method to create a class wrapping a new OutfeedDequeueTuple operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OutfeedEnqueue

Factory method to create a class wrapping a new OutfeedEnqueue operation.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.OutfeedEnqueueTuple

Factory method to create a class wrapping a new OutfeedEnqueueTuple operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.Pad

Factory method to create a class wrapping a new Pad operation.

create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat

Factory method to create a class wrapping a new ParallelConcat operation.

create(Scope, Iterable<Operand<Integer>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch

Factory method to create a class wrapping a new ParallelDynamicStitch operation.

create(Scope, Class<T>, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder

Factory method to create a class wrapping a new Placeholder operation.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault

Factory method to create a class wrapping a new PlaceholderWithDefault operation.

create(Scope, Operand<T>, Prelinearize.Options...) - Static method in class org.tensorflow.op.core.Prelinearize

Factory method to create a class wrapping a new Prelinearize operation.

create(Scope, Iterable<Operand<?>>, List<Shape>, PrelinearizeTuple.Options...) - Static method in class org.tensorflow.op.core.PrelinearizeTuple

Factory method to create a class wrapping a new PrelinearizeTuple operation.

create(Scope, Operand<String>, Print.Options...) - Static method in class org.tensorflow.op.core.Print

Factory method to create a class wrapping a new Print operation.

create(Scope, Operand<T>, Operand<U>, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod

Factory method to create a class wrapping a new Prod operation.

create(Scope, Operand<Integer>, Iterable<Operand<T>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.QuantizedConcat

Factory method to create a class wrapping a new QuantizedConcat operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DAndRelu.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRelu

Factory method to create a class wrapping a new QuantizedConv2DAndRelu operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DAndReluAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DPerChannel.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DPerChannel

Factory method to create a class wrapping a new QuantizedConv2DPerChannel operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DWithBias.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBias

Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRelu operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<W>, Operand<Float>, Operand<Float>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndRelu operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<W>, Operand<Float>, Operand<Float>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2D.Options...) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D

Factory method to create a class wrapping a new QuantizedDepthwiseConv2D operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBias.Options...) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<W>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.

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 wrapping a new QuantizedReshape operation.

create(Scope, Iterable<Operand<T>>, Operand<U>, Operand<V>, Long) - Static method in class org.tensorflow.op.core.RaggedGather

Factory method to create a class wrapping a new RaggedGather operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.RaggedRange

Factory method to create a class wrapping a new RaggedRange operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RaggedRange

Factory method to create a class wrapping a new RaggedRange operation using default output types.

create(Scope, Operand<?>, Long, Long, Class<T>, Class<U>) - Static method in class org.tensorflow.op.core.RaggedTensorFromVariant

Factory method to create a class wrapping a new RaggedTensorFromVariant operation.

create(Scope, Iterable<Operand<T>>, Operand<U>) - Static method in class org.tensorflow.op.core.RaggedTensorToSparse

Factory method to create a class wrapping a new RaggedTensorToSparse operation.

create(Scope, Iterable<Operand<T>>, Operand<U>, Boolean) - Static method in class org.tensorflow.op.core.RaggedTensorToVariant

Factory method to create a class wrapping a new RaggedTensorToVariant operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Range

Factory method to create a class wrapping a new Range operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Rank

Factory method to create a class wrapping a new Rank operation.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.ReadVariableOp

Factory method to create a class wrapping a new ReadVariableOp operation.

create(Scope, Long, String) - Static method in class org.tensorflow.op.core.RecvTPUEmbeddingActivations

Factory method to create a class wrapping a new RecvTPUEmbeddingActivations operation.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll

Factory method to create a class wrapping a new ReduceAll operation.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny

Factory method to create a class wrapping a new ReduceAny operation.

create(Scope, Operand<T>, Operand<U>, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax

Factory method to create a class wrapping a new ReduceMax operation.

create(Scope, Operand<T>, Operand<U>, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin

Factory method to create a class wrapping a new ReduceMin operation.

create(Scope, Operand<T>, Operand<U>, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd

Factory method to create a class wrapping a new ReduceProd operation.

create(Scope, Operand<T>, Operand<U>, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum

Factory method to create a class wrapping a new ReduceSum operation.

create(Scope, Operand<T>, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter

Factory method to create a class wrapping a new RefEnter operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefExit

Factory method to create a class wrapping a new RefExit operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefIdentity

Factory method to create a class wrapping a new RefIdentity operation.

create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefMerge

Factory method to create a class wrapping a new RefMerge operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefNextIteration

Factory method to create a class wrapping a new RefNextIteration operation.

create(Scope, Operand<Integer>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefSelect

Factory method to create a class wrapping a new RefSelect operation.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.RefSwitch

Factory method to create a class wrapping a new RefSwitch operation.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, String) - Static method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Factory method to create a class wrapping a new RemoteFusedGraphExecute operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Float) - Static method in class org.tensorflow.op.core.RequantizationRangePerChannel

Factory method to create a class wrapping a new RequantizationRangePerChannel operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.RequantizePerChannel

Factory method to create a class wrapping a new RequantizePerChannel operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reshape

Factory method to create a class wrapping a new Reshape operation.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdamWithAmsgrad

Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyKerasMomentum

Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.

create(Scope, Operand<?>, Long, Class<T>) - Static method in class org.tensorflow.op.core.ResourceCountUpTo

Factory method to create a class wrapping a new ResourceCountUpTo operation.

create(Scope, Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather

Factory method to create a class wrapping a new ResourceGather operation.

create(Scope, Operand<?>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.ResourceGatherNd

Factory method to create a class wrapping a new ResourceGatherNd operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterAdd

Factory method to create a class wrapping a new ResourceScatterAdd operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterDiv

Factory method to create a class wrapping a new ResourceScatterDiv operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMax

Factory method to create a class wrapping a new ResourceScatterMax operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMin

Factory method to create a class wrapping a new ResourceScatterMin operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMul

Factory method to create a class wrapping a new ResourceScatterMul operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd

Factory method to create a class wrapping a new ResourceScatterNdAdd operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub

Factory method to create a class wrapping a new ResourceScatterNdSub operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate

Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterSub

Factory method to create a class wrapping a new ResourceScatterSub operation.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate

Factory method to create a class wrapping a new ResourceScatterUpdate operation.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyKerasMomentum

Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.

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 wrapping a new ResourceStridedSliceAssign operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingCenteredRMSPropParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingFTRLParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingMDLAdagradLightParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalAdagradParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug operation.

create(Scope, Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters

Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reverse

Factory method to create a class wrapping a new Reverse operation.

create(Scope, Operand<T>, Operand<U>, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence

Factory method to create a class wrapping a new ReverseSequence operation.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.RngSkip

Factory method to create a class wrapping a new RngSkip operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.Roll

Factory method to create a class wrapping a new Roll operation.

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 wrapping a new Rpc operation.

create(Scope, Operand<?>, Operand<Float>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SamplingDataset

Factory method to create a class wrapping a new SamplingDataset operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, ScaleAndTranslate.Options...) - Static method in class org.tensorflow.op.core.ScaleAndTranslate

Factory method to create a class wrapping a new ScaleAndTranslate operation.

create(Scope, Operand<T>, Operand<T>, Operand<Float>, Operand<Float>, ScaleAndTranslateGrad.Options...) - Static method in class org.tensorflow.op.core.ScaleAndTranslateGrad

Factory method to create a class wrapping a new ScaleAndTranslateGrad operation.

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 wrapping a new ScatterAdd operation.

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 wrapping a new ScatterDiv operation.

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 wrapping a new ScatterMax operation.

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 wrapping a new ScatterMin operation.

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 wrapping a new ScatterMul operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNd

Factory method to create a class wrapping a new ScatterNd operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd

Factory method to create a class wrapping a new ScatterNdAdd operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub

Factory method to create a class wrapping a new ScatterNdSub operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate

Factory method to create a class wrapping a new ScatterNdUpdate operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub

Factory method to create a class wrapping a new ScatterSub operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate

Factory method to create a class wrapping a new ScatterUpdate operation.

create(Scope, Operand<Boolean>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SelectV2

Factory method to create a class wrapping a new SelectV2 operation.

create(Scope, Iterable<Operand<Float>>, Iterable<Operand<Float>>, String) - Static method in class org.tensorflow.op.core.SendTPUEmbeddingGradients

Factory method to create a class wrapping a new SendTPUEmbeddingGradients operation.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.SetDiff1d

Factory method to create a class wrapping a new SetDiff1d operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SetDiff1d

Factory method to create a class wrapping a new SetDiff1d operation using default output types.

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 wrapping a new SetSize operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Shape

Factory method to create a class wrapping a new Shape operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Shape

Factory method to create a class wrapping a new Shape operation using default output types.

create(Scope, Iterable<Operand<T>>, Class<U>) - Static method in class org.tensorflow.op.core.ShapeN

Factory method to create a class wrapping a new ShapeN operation.

create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.ShapeN

Factory method to create a class wrapping a new ShapeN operation using default output types.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>, ShardDataset.Options...) - Static method in class org.tensorflow.op.core.ShardDataset

Factory method to create a class wrapping a new ShardDataset operation.

create(Scope) - Static method in class org.tensorflow.op.core.ShutdownDistributedTPU

Factory method to create a class wrapping a new ShutdownDistributedTPU operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Size

Factory method to create a class wrapping a new Size operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Size

Factory method to create a class wrapping a new Size operation using default output types.

create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram

Factory method to create a class wrapping a new Skipgram operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.Slice

Factory method to create a class wrapping a new Slice operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Snapshot

Factory method to create a class wrapping a new Snapshot operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SnapshotDataset

Factory method to create a class wrapping a new SnapshotDataset operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.SpaceToBatchNd

Factory method to create a class wrapping a new SpaceToBatchNd operation.

create(Scope, Operand<Integer>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.Split

Factory method to create a class wrapping a new Split operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.SplitV

Factory method to create a class wrapping a new SplitV operation.

create(Scope, Operand<T>, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze

Factory method to create a class wrapping a new Squeeze operation.

create(Scope, Iterable<Operand<T>>, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack

Factory method to create a class wrapping a new Stack operation.

create(Scope, Iterable<Operand<?>>, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage

Factory method to create a class wrapping a new Stage operation.

create(Scope, List<Class<?>>, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear

Factory method to create a class wrapping a new StageClear operation.

create(Scope, Operand<Integer>, List<Class<?>>, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek

Factory method to create a class wrapping a new StagePeek operation.

create(Scope, List<Class<?>>, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize

Factory method to create a class wrapping a new StageSize operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Operand<U>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.StatefulRandomBinomial

Factory method to create a class wrapping a new StatefulRandomBinomial operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.StatefulRandomBinomial

Factory method to create a class wrapping a new StatefulRandomBinomial operation using default output types.

create(Scope, Operand<?>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.StatefulStandardNormal

Factory method to create a class wrapping a new StatefulStandardNormal operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.StatefulStandardNormal

Factory method to create a class wrapping a new StatefulStandardNormal operation using default output types.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.StatefulStandardNormalV2

Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.StatefulStandardNormalV2

Factory method to create a class wrapping a new StatefulStandardNormalV2 operation using default output types.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.StatefulTruncatedNormal

Factory method to create a class wrapping a new StatefulTruncatedNormal operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.StatefulTruncatedNormal

Factory method to create a class wrapping a new StatefulTruncatedNormal operation using default output types.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.StatefulUniform

Factory method to create a class wrapping a new StatefulUniform operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.StatefulUniform

Factory method to create a class wrapping a new StatefulUniform operation using default output types.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.StatefulUniformFullInt

Factory method to create a class wrapping a new StatefulUniformFullInt operation.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.StatefulUniformInt

Factory method to create a class wrapping a new StatefulUniformInt operation.

create(Scope, StatsAggregatorHandleV2.Options...) - Static method in class org.tensorflow.op.core.StatsAggregatorHandleV2

Factory method to create a class wrapping a new StatsAggregatorHandleV2 operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.StatsAggregatorSetSummaryWriter

Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.StopGradient

Factory method to create a class wrapping a new StopGradient operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice

Factory method to create a class wrapping a new StridedSlice operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign

Factory method to create a class wrapping a new StridedSliceAssign operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad

Factory method to create a class wrapping a new StridedSliceGrad operation.

create(Scope, Operand<String>, StringLower.Options...) - Static method in class org.tensorflow.op.core.StringLower

Factory method to create a class wrapping a new StringLower operation.

create(Scope, Operand<String>, StringUpper.Options...) - Static method in class org.tensorflow.op.core.StringUpper

Factory method to create a class wrapping a new StringUpper operation.

create(Scope, Operand<T>, Operand<U>, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum

Factory method to create a class wrapping a new Sum operation.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.SwitchCond

Factory method to create a class wrapping a new SwitchCond operation.

create(Scope, Shape, Class<T>, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable

Factory method to create a class wrapping a new TemporaryVariable operation.

create(Scope, Operand<Integer>, Class<T>, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray

Factory method to create a class wrapping a new TensorArray operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorArrayClose

Factory method to create a class wrapping a new TensorArrayClose operation.

create(Scope, Operand<?>, Operand<Float>, Class<T>, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat

Factory method to create a class wrapping a new TensorArrayConcat operation.

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 wrapping a new TensorArrayGather operation.

create(Scope, Operand<?>, Operand<Float>, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad

Factory method to create a class wrapping a new TensorArrayGrad operation.

create(Scope, Operand<?>, Operand<Float>, Operand<Integer>, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape

Factory method to create a class wrapping a new TensorArrayGradWithShape operation.

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 wrapping a new TensorArrayPack operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<Float>, Class<T>) - Static method in class org.tensorflow.op.core.TensorArrayRead

Factory method to create a class wrapping a new TensorArrayRead operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayScatter

Factory method to create a class wrapping a new TensorArrayScatter operation.

create(Scope, Operand<?>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySize

Factory method to create a class wrapping a new TensorArraySize operation.

create(Scope, Operand<?>, Operand<T>, Operand<Long>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySplit

Factory method to create a class wrapping a new TensorArraySplit operation.

create(Scope, Operand<String>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayUnpack

Factory method to create a class wrapping a new TensorArrayUnpack operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayWrite

Factory method to create a class wrapping a new TensorArrayWrite operation.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.TensorForestCreateTreeVariable

Factory method to create a class wrapping a new TensorForestCreateTreeVariable operation.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.TensorForestTreeDeserialize

Factory method to create a class wrapping a new TensorForestTreeDeserialize operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeIsInitializedOp

Factory method to create a class wrapping a new TensorForestTreeIsInitializedOp operation.

create(Scope, Operand<?>, Operand<Float>, Long) - Static method in class org.tensorflow.op.core.TensorForestTreePredict

Factory method to create a class wrapping a new TensorForestTreePredict operation.

create(Scope, TensorForestTreeResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.TensorForestTreeResourceHandleOp

Factory method to create a class wrapping a new TensorForestTreeResourceHandleOp operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeSerialize

Factory method to create a class wrapping a new TensorForestTreeSerialize operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorForestTreeSize

Factory method to create a class wrapping a new TensorForestTreeSize operation.

create(Scope, Operand<?>, Class<T>, TensorListConcat.Options...) - Static method in class org.tensorflow.op.core.TensorListConcat

Factory method to create a class wrapping a new TensorListConcat operation.

create(Scope, Operand<?>, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListConcatLists

Factory method to create a class wrapping a new TensorListConcatLists operation.

create(Scope, Operand<?>, Operand<T>, Operand<Long>, Class<U>) - Static method in class org.tensorflow.op.core.TensorListConcatV2

Factory method to create a class wrapping a new TensorListConcatV2 operation.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListElementShape

Factory method to create a class wrapping a new TensorListElementShape operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.TensorListFromTensor

Factory method to create a class wrapping a new TensorListFromTensor operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGather

Factory method to create a class wrapping a new TensorListGather operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGetItem

Factory method to create a class wrapping a new TensorListGetItem operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorListLength

Factory method to create a class wrapping a new TensorListLength operation.

create(Scope, Operand<?>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListPopBack

Factory method to create a class wrapping a new TensorListPopBack operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBack

Factory method to create a class wrapping a new TensorListPushBack operation.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch

Factory method to create a class wrapping a new TensorListPushBackBatch operation.

create(Scope, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.TensorListReserve

Factory method to create a class wrapping a new TensorListReserve operation.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.core.TensorListResize

Factory method to create a class wrapping a new TensorListResize operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>) - Static method in class org.tensorflow.op.core.TensorListScatter

Factory method to create a class wrapping a new TensorListScatter operation.

create(Scope, Operand<?>, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.TensorListScatterIntoExistingList

Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.core.TensorListScatterV2

Factory method to create a class wrapping a new TensorListScatterV2 operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListSetItem

Factory method to create a class wrapping a new TensorListSetItem operation.

create(Scope, Operand<T>, Operand<U>, Operand<Long>) - Static method in class org.tensorflow.op.core.TensorListSplit

Factory method to create a class wrapping a new TensorListSplit operation.

create(Scope, Operand<?>, Operand<Integer>, Class<T>, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack

Factory method to create a class wrapping a new TensorListStack operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterAdd

Factory method to create a class wrapping a new TensorScatterAdd operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterSub

Factory method to create a class wrapping a new TensorScatterSub operation.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterUpdate

Factory method to create a class wrapping a new TensorScatterUpdate operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, TensorStridedSliceUpdate.Options...) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

Factory method to create a class wrapping a new TensorStridedSliceUpdate operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Tile

Factory method to create a class wrapping a new Tile operation.

create(Scope) - Static method in class org.tensorflow.op.core.Timestamp

Factory method to create a class wrapping a new Timestamp operation.

create(Scope) - Static method in class org.tensorflow.op.core.TPUCompilationResult

Factory method to create a class wrapping a new TPUCompilationResult operation.

create(Scope, Operand<Float>, Operand<Float>, Long, Long) - Static method in class org.tensorflow.op.core.TPUEmbeddingActivations

Factory method to create a class wrapping a new TPUEmbeddingActivations operation.

create(Scope) - Static method in class org.tensorflow.op.core.TPUOrdinalSelector

Factory method to create a class wrapping a new TPUOrdinalSelector operation.

create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.TPUReplicatedInput

Factory method to create a class wrapping a new TPUReplicatedInput operation.

create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.TPUReplicatedOutput

Factory method to create a class wrapping a new TPUReplicatedOutput operation.

create(Scope, Long, TPUReplicateMetadata.Options...) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

Factory method to create a class wrapping a new TPUReplicateMetadata operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.TridiagonalMatMul

Factory method to create a class wrapping a new TridiagonalMatMul operation.

create(Scope, Operand<T>, Operand<T>, TridiagonalSolve.Options...) - Static method in class org.tensorflow.op.core.TridiagonalSolve

Factory method to create a class wrapping a new TridiagonalSolve operation.

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 wrapping a new TryRpc operation.

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 wrapping a new Unbatch operation.

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 wrapping a new UnbatchGrad operation.

create(Scope, Operand<String>, String, Class<T>, UnicodeDecode.Options...) - Static method in class org.tensorflow.op.core.UnicodeDecode

Factory method to create a class wrapping a new UnicodeDecode operation.

create(Scope, Operand<String>, String, UnicodeDecode.Options...) - Static method in class org.tensorflow.op.core.UnicodeDecode

Factory method to create a class wrapping a new UnicodeDecode operation using default output types.

create(Scope, Operand<Integer>, Operand<T>, String, UnicodeEncode.Options...) - Static method in class org.tensorflow.op.core.UnicodeEncode

Factory method to create a class wrapping a new UnicodeEncode operation.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.Unique

Factory method to create a class wrapping a new Unique operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Unique

Factory method to create a class wrapping a new Unique operation using default output types.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueWithCounts

Factory method to create a class wrapping a new UniqueWithCounts operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.UniqueWithCounts

Factory method to create a class wrapping a new UniqueWithCounts operation 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 wrapping a new UnravelIndex operation.

create(Scope, Operand<T>, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack

Factory method to create a class wrapping a new Unstack operation.

create(Scope, List<Class<?>>, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage

Factory method to create a class wrapping a new Unstage operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.UnwrapDatasetVariant

Factory method to create a class wrapping a new UnwrapDatasetVariant operation.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.UpperBound

Factory method to create a class wrapping a new UpperBound operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UpperBound

Factory method to create a class wrapping a new UpperBound operation using default output types.

create(Scope, Class<T>, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp

Factory method to create a class wrapping a new VarHandleOp operation.

create(Scope, Shape, Class<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable

Factory method to create a class wrapping a new Variable operation.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.VariableShape

Factory method to create a class wrapping a new VariableShape operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.VariableShape

Factory method to create a class wrapping a new VariableShape operation using default output types.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.VarIsInitializedOp

Factory method to create a class wrapping a new VarIsInitializedOp operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Where

Factory method to create a class wrapping a new Where operation.

create(Scope, Operand<Boolean>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Where3

Factory method to create a class wrapping a new Where3 operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.WorkerHeartbeat

Factory method to create a class wrapping a new WorkerHeartbeat operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.WrapDatasetVariant

Factory method to create a class wrapping a new WrapDatasetVariant operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.WriteRawProtoSummary

Factory method to create a class wrapping a new WriteRawProtoSummary operation.

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, Operand<T>) - Static method in class org.tensorflow.op.core.ZerosLike

Factory method to create a class wrapping a new ZerosLike operation.

create(Scope, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousIterator

Factory method to create a class wrapping a new AnonymousIterator operation.

create(Scope, Operand<?>, Operand<Long>, Operand<Boolean>, List<Class<?>>, List<Shape>, BatchDataset.Options...) - Static method in class org.tensorflow.op.data.BatchDataset

Factory method to create a class wrapping a new BatchDataset operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.CacheDataset

Factory method to create a class wrapping a new CacheDataset operation.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ConcatenateDataset

Factory method to create a class wrapping a new ConcatenateDataset operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.DatasetToGraph

Factory method to create a class wrapping a new DatasetToGraph operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.DatasetToSingleElement

Factory method to create a class wrapping a new DatasetToSingleElement operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.DeserializeIterator

Factory method to create a class wrapping a new DeserializeIterator operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalAssertNextDataset

Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.

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 wrapping a new ExperimentalCsvDataset operation.

create(Scope, Operand<?>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalDirectedInterleaveDataset

Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIdentityIndexedDataset

Factory method to create a class wrapping a new ExperimentalIdentityIndexedDataset operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalIgnoreErrorsDataset

Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalIndexedDatasetGet

Factory method to create a class wrapping a new ExperimentalIndexedDatasetGet operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIndexedDatasetMaterialize

Factory method to create a class wrapping a new ExperimentalIndexedDatasetMaterialize operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.ExperimentalIteratorGetDevice

Factory method to create a class wrapping a new ExperimentalIteratorGetDevice operation.

create(Scope, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalLmdbDataset

Factory method to create a class wrapping a new ExperimentalLmdbDataset operation.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalMaterializedIndexDatasetHandle

Factory method to create a class wrapping a new ExperimentalMaterializedIndexDatasetHandle operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalNonSerializableDataset

Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalSleepDataset

Factory method to create a class wrapping a new ExperimentalSleepDataset operation.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolDataset

Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.

create(Scope, Long, String, ExperimentalThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.ExperimentalThreadPoolHandle

Factory method to create a class wrapping a new ExperimentalThreadPoolHandle operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ExperimentalUniqueDataset

Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.FilterByLastComponentDataset

Factory method to create a class wrapping a new FilterByLastComponentDataset operation.

create(Scope, Operand<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 wrapping a new FixedLengthRecordDataset operation.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.Iterator

Factory method to create a class wrapping a new Iterator operation.

create(Scope, Operand<String>, List<Class<?>>, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle

Factory method to create a class wrapping a new IteratorFromStringHandle operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNext

Factory method to create a class wrapping a new IteratorGetNext operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextAsOptional

Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextSync

Factory method to create a class wrapping a new IteratorGetNextSync operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.IteratorToStringHandle

Factory method to create a class wrapping a new IteratorToStringHandle operation.

create(Scope, Operand<T>, Operand<T>, LeakyReluGrad.Options...) - Static method in class org.tensorflow.op.data.LeakyReluGrad

Factory method to create a class wrapping a new LeakyReluGrad operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.data.MakeIterator

Factory method to create a class wrapping a new MakeIterator operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>, ModelDataset.Options...) - Static method in class org.tensorflow.op.data.ModelDataset

Factory method to create a class wrapping a new ModelDataset operation.

create(Scope, List<String>, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIterator

Factory method to create a class wrapping a new MultiDeviceIterator operation.

create(Scope, Operand<String>, List<Class<?>>, MultiDeviceIteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle

Factory method to create a class wrapping a new MultiDeviceIteratorFromStringHandle operation.

create(Scope, Operand<?>, Operand<Integer>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard

Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.

create(Scope, Operand<?>, Operand<?>, Operand<Long>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorInit

Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle

Factory method to create a class wrapping a new MultiDeviceIteratorToStringHandle operation.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>, OptimizeDataset.Options...) - Static method in class org.tensorflow.op.data.OptimizeDataset

Factory method to create a class wrapping a new OptimizeDataset operation.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.OptionalFromValue

Factory method to create a class wrapping a new OptionalFromValue operation.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.OptionalGetValue

Factory method to create a class wrapping a new OptionalGetValue operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.OptionalHasValue

Factory method to create a class wrapping a new OptionalHasValue operation.

create(Scope) - Static method in class org.tensorflow.op.data.OptionalNone

Factory method to create a class wrapping a new OptionalNone operation.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Operand<Boolean>, List<Shape>, PaddedBatchDataset.Options...) - Static method in class org.tensorflow.op.data.PaddedBatchDataset

Factory method to create a class wrapping a new PaddedBatchDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>, PrefetchDataset.Options...) - Static method in class org.tensorflow.op.data.PrefetchDataset

Factory method to create a class wrapping a new PrefetchDataset operation.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.RangeDataset

Factory method to create a class wrapping a new RangeDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.RepeatDataset

Factory method to create a class wrapping a new RepeatDataset operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.data.SerializeIterator

Factory method to create a class wrapping a new SerializeIterator operation.

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 wrapping a new ShuffleAndRepeatDataset operation.

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 wrapping a new ShuffleDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.SkipDataset

Factory method to create a class wrapping a new SkipDataset operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.data.SparseTensorSliceDataset

Factory method to create a class wrapping a new SparseTensorSliceDataset operation.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TakeDataset

Factory method to create a class wrapping a new TakeDataset operation.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TensorDataset

Factory method to create a class wrapping a new TensorDataset operation.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.TensorSliceDataset

Factory method to create a class wrapping a new TensorSliceDataset operation.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.data.TextLineDataset

Factory method to create a class wrapping a new TextLineDataset operation.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.data.TfRecordDataset

Factory method to create a class wrapping a new TfRecordDataset operation.

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 wrapping a new WindowDataset operation.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.ZipDataset

Factory method to create a class wrapping a new ZipDataset operation.

create(Scope, Operand<T>, AsString.Options...) - Static method in class org.tensorflow.op.dtypes.AsString

Factory method to create a class wrapping a new AsString operation.

create(Scope, Operand<T>, Class<U>, Cast.Options...) - Static method in class org.tensorflow.op.dtypes.Cast

Factory method to create a class wrapping a new Cast operation.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.dtypes.Complex

Factory method to create a class wrapping a new Complex operation.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustContrast

Factory method to create a class wrapping a new AdjustContrast operation.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustHue

Factory method to create a class wrapping a new AdjustHue operation.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.image.AdjustSaturation

Factory method to create a class wrapping a new AdjustSaturation operation.

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 wrapping a new CropAndResize operation.

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 wrapping a new CropAndResizeGradBoxes operation.

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 wrapping a new CropAndResizeGradImage operation.

create(Scope, Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg

Factory method to create a class wrapping a new DecodeAndCropJpeg operation.

create(Scope, Operand<String>, DecodeBmp.Options...) - Static method in class org.tensorflow.op.image.DecodeBmp

Factory method to create a class wrapping a new DecodeBmp operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.image.DecodeGif

Factory method to create a class wrapping a new DecodeGif operation.

create(Scope, Operand<String>, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeJpeg

Factory method to create a class wrapping a new DecodeJpeg operation.

create(Scope, Operand<String>, Class<T>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng

Factory method to create a class wrapping a new DecodePng operation.

create(Scope, Operand<String>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng

Factory method to create a class wrapping a new DecodePng operation using default output types.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.image.DrawBoundingBoxes

Factory method to create a class wrapping a new DrawBoundingBoxes operation.

create(Scope, Operand<UInt8>, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.image.EncodeJpeg

Factory method to create a class wrapping a new EncodeJpeg operation.

create(Scope, Operand<UInt8>, Operand<Integer>) - Static method in class org.tensorflow.op.image.EncodeJpegVariableQuality

Factory method to create a class wrapping a new EncodeJpegVariableQuality operation.

create(Scope, Operand<T>, EncodePng.Options...) - Static method in class org.tensorflow.op.image.EncodePng

Factory method to create a class wrapping a new EncodePng operation.

create(Scope, Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.image.ExtractGlimpse

Factory method to create a class wrapping a new ExtractGlimpse operation.

create(Scope, Operand<T>, List<Long>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.image.ExtractImagePatches

Factory method to create a class wrapping a new ExtractImagePatches operation.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.image.ExtractJpegShape

Factory method to create a class wrapping a new ExtractJpegShape operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.image.ExtractJpegShape

Factory method to create a class wrapping a new ExtractJpegShape operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.HsvToRgb

Factory method to create a class wrapping a new HsvToRgb operation.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.NonMaxSuppression

Factory method to create a class wrapping a new NonMaxSuppression operation.

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 wrapping a new NonMaxSuppressionWithOverlaps operation.

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 wrapping a new QuantizedResizeBilinear operation.

create(Scope, Operand<T>, Operand<Long>, RandomCrop.Options...) - Static method in class org.tensorflow.op.image.RandomCrop

Factory method to create a class wrapping a new RandomCrop operation.

create(Scope, Operand<T>, Operand<Integer>, ResizeArea.Options...) - Static method in class org.tensorflow.op.image.ResizeArea

Factory method to create a class wrapping a new ResizeArea operation.

create(Scope, Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubic

Factory method to create a class wrapping a new ResizeBicubic operation.

create(Scope, Operand<Float>, Operand<T>, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad

Factory method to create a class wrapping a new ResizeBicubicGrad operation.

create(Scope, Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinear

Factory method to create a class wrapping a new ResizeBilinear operation.

create(Scope, Operand<Float>, Operand<T>, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad

Factory method to create a class wrapping a new ResizeBilinearGrad operation.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor

Factory method to create a class wrapping a new ResizeNearestNeighbor operation.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad

Factory method to create a class wrapping a new ResizeNearestNeighborGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.RgbToHsv

Factory method to create a class wrapping a new RgbToHsv operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox

Factory method to create a class wrapping a new SampleDistortedBoundingBox operation.

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 wrapping a new BigQueryReader operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.DecodeBase64

Factory method to create a class wrapping a new DecodeBase64 operation.

create(Scope, Operand<String>, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.io.DecodeCompressed

Factory method to create a class wrapping a new DecodeCompressed operation.

create(Scope, Operand<String>, Iterable<Operand<?>>, DecodeCsv.Options...) - Static method in class org.tensorflow.op.io.DecodeCsv

Factory method to create a class wrapping a new DecodeCsv operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.DecodeJsonExample

Factory method to create a class wrapping a new DecodeJsonExample operation.

create(Scope, Operand<String>, Class<T>, DecodeRaw.Options...) - Static method in class org.tensorflow.op.io.DecodeRaw

Factory method to create a class wrapping a new DecodeRaw operation.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.io.DeserializeManySparse

Factory method to create a class wrapping a new DeserializeManySparse operation.

create(Scope, Operand<String>, EncodeBase64.Options...) - Static method in class org.tensorflow.op.io.EncodeBase64

Factory method to create a class wrapping a new EncodeBase64 operation.

create(Scope, List<Class<?>>, FifoQueue.Options...) - Static method in class org.tensorflow.op.io.FifoQueue

Factory method to create a class wrapping a new FifoQueue operation.

create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

Factory method to create a class wrapping a new FixedLengthRecordReader operation.

create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.io.IdentityReader

Factory method to create a class wrapping a new IdentityReader operation.

create(Scope, LmdbReader.Options...) - Static method in class org.tensorflow.op.io.LmdbReader

Factory method to create a class wrapping a new LmdbReader operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.MatchingFiles

Factory method to create a class wrapping a new MatchingFiles operation.

create(Scope, List<Class<?>>, PaddingFifoQueue.Options...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue

Factory method to create a class wrapping a new PaddingFifoQueue operation.

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 wrapping a new ParseExample operation.

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 wrapping a new ParseSequenceExample operation.

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 wrapping a new ParseSingleExample operation.

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 wrapping a new ParseSingleSequenceExample operation.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.io.ParseTensor

Factory method to create a class wrapping a new ParseTensor operation.

create(Scope, List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Static method in class org.tensorflow.op.io.PriorityQueue

Factory method to create a class wrapping a new PriorityQueue operation.

create(Scope, Operand<?>, QueueClose.Options...) - Static method in class org.tensorflow.op.io.QueueClose

Factory method to create a class wrapping a new QueueClose operation.

create(Scope, Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Static method in class org.tensorflow.op.io.QueueDequeue

Factory method to create a class wrapping a new QueueDequeue operation.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueMany

Factory method to create a class wrapping a new QueueDequeueMany operation.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo

Factory method to create a class wrapping a new QueueDequeueUpTo operation.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueue

Factory method to create a class wrapping a new QueueEnqueue operation.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueueMany

Factory method to create a class wrapping a new QueueEnqueueMany operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.QueueIsClosed

Factory method to create a class wrapping a new QueueIsClosed operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.QueueSize

Factory method to create a class wrapping a new QueueSize operation.

create(Scope, List<Class<?>>, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue

Factory method to create a class wrapping a new RandomShuffleQueue operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderNumRecordsProduced

Factory method to create a class wrapping a new ReaderNumRecordsProduced operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted

Factory method to create a class wrapping a new ReaderNumWorkUnitsCompleted operation.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderRead

Factory method to create a class wrapping a new ReaderRead operation.

create(Scope, Operand<?>, Operand<?>, Operand<Long>) - Static method in class org.tensorflow.op.io.ReaderReadUpTo

Factory method to create a class wrapping a new ReaderReadUpTo operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderReset

Factory method to create a class wrapping a new ReaderReset operation.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.io.ReaderRestoreState

Factory method to create a class wrapping a new ReaderRestoreState operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.io.ReaderSerializeState

Factory method to create a class wrapping a new ReaderSerializeState operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.io.ReadFile

Factory method to create a class wrapping a new ReadFile operation.

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 wrapping a new SerializeManySparse operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.io.SerializeManySparse

Factory method to create a class wrapping a new SerializeManySparse operation using default output types.

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 wrapping a new SerializeSparse operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.io.SerializeSparse

Factory method to create a class wrapping a new SerializeSparse operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.io.SerializeTensor

Factory method to create a class wrapping a new SerializeTensor operation.

create(Scope, Operand<String>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.io.ShardedFilename

Factory method to create a class wrapping a new ShardedFilename operation.

create(Scope, Operand<String>, Operand<Integer>) - Static method in class org.tensorflow.op.io.ShardedFilespec

Factory method to create a class wrapping a new ShardedFilespec operation.

create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.io.TextLineReader

Factory method to create a class wrapping a new TextLineReader operation.

create(Scope, TfRecordReader.Options...) - Static method in class org.tensorflow.op.io.TfRecordReader

Factory method to create a class wrapping a new TfRecordReader operation.

create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.io.WholeFileReader

Factory method to create a class wrapping a new WholeFileReader operation.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.io.WriteFile

Factory method to create a class wrapping a new WriteFile operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.linalg.BandPart

Factory method to create a class wrapping a new BandPart operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholesky

Factory method to create a class wrapping a new BatchCholesky operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholeskyGrad

Factory method to create a class wrapping a new BatchCholeskyGrad operation.

create(Scope, Operand<T>, Operand<T>, BatchMatMul.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatMul

Factory method to create a class wrapping a new BatchMatMul operation.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.linalg.BatchMatrixBandPart

Factory method to create a class wrapping a new BatchMatrixBandPart operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDeterminant

Factory method to create a class wrapping a new BatchMatrixDeterminant operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiag

Factory method to create a class wrapping a new BatchMatrixDiag operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiagPart

Factory method to create a class wrapping a new BatchMatrixDiagPart operation.

create(Scope, Operand<T>, BatchMatrixInverse.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse

Factory method to create a class wrapping a new BatchMatrixInverse operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixSetDiag

Factory method to create a class wrapping a new BatchMatrixSetDiag operation.

create(Scope, Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve

Factory method to create a class wrapping a new BatchMatrixSolve operation.

create(Scope, Operand<T>, Operand<T>, Operand<Double>, BatchMatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs

Factory method to create a class wrapping a new BatchMatrixSolveLs operation.

create(Scope, Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve

Factory method to create a class wrapping a new BatchMatrixTriangularSolve operation.

create(Scope, Operand<T>, BatchSelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

Factory method to create a class wrapping a new BatchSelfAdjointEig operation.

create(Scope, Operand<T>, BatchSvd.Options...) - Static method in class org.tensorflow.op.linalg.BatchSvd

Factory method to create a class wrapping a new BatchSvd operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cholesky

Factory method to create a class wrapping a new Cholesky operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.CholeskyGrad

Factory method to create a class wrapping a new CholeskyGrad operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.linalg.ConjugateTranspose

Factory method to create a class wrapping a new ConjugateTranspose operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cross

Factory method to create a class wrapping a new Cross operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Det

Factory method to create a class wrapping a new Det operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Diag

Factory method to create a class wrapping a new Diag operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.DiagPart

Factory method to create a class wrapping a new DiagPart operation.

create(Scope, Operand<T>, Inv.Options...) - Static method in class org.tensorflow.op.linalg.Inv

Factory method to create a class wrapping a new Inv operation.

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 wrapping a new LoadAndRemapMatrix operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.LogMatrixDeterminant

Factory method to create a class wrapping a new LogMatrixDeterminant operation.

create(Scope, Operand<T>, Operand<T>, MatMul.Options...) - Static method in class org.tensorflow.op.linalg.MatMul

Factory method to create a class wrapping a new MatMul operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixLogarithm

Factory method to create a class wrapping a new MatrixLogarithm operation.

create(Scope, Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs

Factory method to create a class wrapping a new MatrixSolveLs operation.

create(Scope, Operand<T>, Qr.Options...) - Static method in class org.tensorflow.op.linalg.Qr

Factory method to create a class wrapping a new Qr operation.

create(Scope, Operand<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 wrapping a new QuantizedMatMul operation.

create(Scope, Operand<T>, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig

Factory method to create a class wrapping a new SelfAdjointEig operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.SetDiag

Factory method to create a class wrapping a new SetDiag operation.

create(Scope, Operand<T>, Operand<T>, Solve.Options...) - Static method in class org.tensorflow.op.linalg.Solve

Factory method to create a class wrapping a new Solve operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Sqrtm

Factory method to create a class wrapping a new Sqrtm operation.

create(Scope, Operand<T>, Svd.Options...) - Static method in class org.tensorflow.op.linalg.Svd

Factory method to create a class wrapping a new Svd operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiag

Factory method to create a class wrapping a new TensorDiag operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiagPart

Factory method to create a class wrapping a new TensorDiagPart operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.linalg.Transpose

Factory method to create a class wrapping a new Transpose operation.

create(Scope, Operand<T>, Operand<T>, TriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.TriangularSolve

Factory method to create a class wrapping a new TriangularSolve operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Abs

Factory method to create a class wrapping a new Abs operation.

create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.math.AccumulateN

Factory method to create a class wrapping a new AccumulateN operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acos

Factory method to create a class wrapping a new Acos operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acosh

Factory method to create a class wrapping a new Acosh operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Add

Factory method to create a class wrapping a new Add operation.

create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.math.AddN

Factory method to create a class wrapping a new AddN operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Angle

Factory method to create a class wrapping a new Angle operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Angle

Factory method to create a class wrapping a new Angle operation using default output types.

create(Scope, Operand<T>, Operand<T>, ApproximateEqual.Options...) - Static method in class org.tensorflow.op.math.ApproximateEqual

Factory method to create a class wrapping a new ApproximateEqual operation.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMax

Factory method to create a class wrapping a new ArgMax operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.ArgMax

Factory method to create a class wrapping a new ArgMax operation using default output types.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMin

Factory method to create a class wrapping a new ArgMin operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.ArgMin

Factory method to create a class wrapping a new ArgMin operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asin

Factory method to create a class wrapping a new Asin operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asinh

Factory method to create a class wrapping a new Asinh operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atan

Factory method to create a class wrapping a new Atan operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Atan2

Factory method to create a class wrapping a new Atan2 operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atanh

Factory method to create a class wrapping a new Atanh operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0e

Factory method to create a class wrapping a new BesselI0e operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1e

Factory method to create a class wrapping a new BesselI1e operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Betainc

Factory method to create a class wrapping a new Betainc operation.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.math.Bincount

Factory method to create a class wrapping a new Bincount operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ceil

Factory method to create a class wrapping a new Ceil operation.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.math.CheckNumerics

Factory method to create a class wrapping a new CheckNumerics operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.CompareAndBitpack

Factory method to create a class wrapping a new CompareAndBitpack operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.ComplexAbs

Factory method to create a class wrapping a new ComplexAbs operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.ComplexAbs

Factory method to create a class wrapping a new ComplexAbs operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Conj

Factory method to create a class wrapping a new Conj operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cos

Factory method to create a class wrapping a new Cos operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cosh

Factory method to create a class wrapping a new Cosh operation.

create(Scope, Operand<T>, Operand<U>, Cumprod.Options...) - Static method in class org.tensorflow.op.math.Cumprod

Factory method to create a class wrapping a new Cumprod operation.

create(Scope, Operand<T>, Operand<U>, Cumsum.Options...) - Static method in class org.tensorflow.op.math.Cumsum

Factory method to create a class wrapping a new Cumsum operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Digamma

Factory method to create a class wrapping a new Digamma operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Div

Factory method to create a class wrapping a new Div operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.DivNoNan

Factory method to create a class wrapping a new DivNoNan operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Equal

Factory method to create a class wrapping a new Equal operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erf

Factory method to create a class wrapping a new Erf operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erfc

Factory method to create a class wrapping a new Erfc operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Exp

Factory method to create a class wrapping a new Exp operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Expm1

Factory method to create a class wrapping a new Expm1 operation.

create(Scope) - Static method in class org.tensorflow.op.math.Fact

Factory method to create a class wrapping a new Fact operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Floor

Factory method to create a class wrapping a new Floor operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorDiv

Factory method to create a class wrapping a new FloorDiv operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorMod

Factory method to create a class wrapping a new FloorMod operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Greater

Factory method to create a class wrapping a new Greater operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.GreaterEqual

Factory method to create a class wrapping a new GreaterEqual operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igamma

Factory method to create a class wrapping a new Igamma operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igammac

Factory method to create a class wrapping a new Igammac operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.IgammaGradA

Factory method to create a class wrapping a new IgammaGradA operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Imag

Factory method to create a class wrapping a new Imag operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Imag

Factory method to create a class wrapping a new Imag operation using default output types.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.InvertPermutation

Factory method to create a class wrapping a new InvertPermutation operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsFinite

Factory method to create a class wrapping a new IsFinite operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsInf

Factory method to create a class wrapping a new IsInf operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.IsNan

Factory method to create a class wrapping a new IsNan operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Less

Factory method to create a class wrapping a new Less operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.LessEqual

Factory method to create a class wrapping a new LessEqual operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Lgamma

Factory method to create a class wrapping a new Lgamma operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log

Factory method to create a class wrapping a new Log operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log1p

Factory method to create a class wrapping a new Log1p operation.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalAnd

Factory method to create a class wrapping a new LogicalAnd operation.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalNot

Factory method to create a class wrapping a new LogicalNot operation.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.math.LogicalOr

Factory method to create a class wrapping a new LogicalOr operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Maximum

Factory method to create a class wrapping a new Maximum operation.

create(Scope, Operand<T>, Operand<U>, Mean.Options...) - Static method in class org.tensorflow.op.math.Mean

Factory method to create a class wrapping a new Mean operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Minimum

Factory method to create a class wrapping a new Minimum operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mod

Factory method to create a class wrapping a new Mod operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mul

Factory method to create a class wrapping a new Mul operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Neg

Factory method to create a class wrapping a new Neg operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.NotEqual

Factory method to create a class wrapping a new NotEqual operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Polygamma

Factory method to create a class wrapping a new Polygamma operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.PopulationCount

Factory method to create a class wrapping a new PopulationCount operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Pow

Factory method to create a class wrapping a new Pow operation.

create(Scope, Operand<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 wrapping a new QuantizedAdd operation.

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 wrapping a new QuantizedMul operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.math.Real

Factory method to create a class wrapping a new Real operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Real

Factory method to create a class wrapping a new Real operation using default output types.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RealDiv

Factory method to create a class wrapping a new RealDiv operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Reciprocal

Factory method to create a class wrapping a new Reciprocal operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.ReciprocalGrad

Factory method to create a class wrapping a new ReciprocalGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rint

Factory method to create a class wrapping a new Rint operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Round

Factory method to create a class wrapping a new Round operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rsqrt

Factory method to create a class wrapping a new Rsqrt operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RsqrtGrad

Factory method to create a class wrapping a new RsqrtGrad operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMax

Factory method to create a class wrapping a new SegmentMax operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMean

Factory method to create a class wrapping a new SegmentMean operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentMin

Factory method to create a class wrapping a new SegmentMin operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentProd

Factory method to create a class wrapping a new SegmentProd operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.math.SegmentSum

Factory method to create a class wrapping a new SegmentSum operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sigmoid

Factory method to create a class wrapping a new Sigmoid operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SigmoidGrad

Factory method to create a class wrapping a new SigmoidGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sign

Factory method to create a class wrapping a new Sign operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sin

Factory method to create a class wrapping a new Sin operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sinh

Factory method to create a class wrapping a new Sinh operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Softplus

Factory method to create a class wrapping a new Softplus operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SoftplusGrad

Factory method to create a class wrapping a new SoftplusGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sqrt

Factory method to create a class wrapping a new Sqrt operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SqrtGrad

Factory method to create a class wrapping a new SqrtGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Square

Factory method to create a class wrapping a new Square operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SquaredDifference

Factory method to create a class wrapping a new SquaredDifference operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Sub

Factory method to create a class wrapping a new Sub operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tan

Factory method to create a class wrapping a new Tan operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tanh

Factory method to create a class wrapping a new Tanh operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TanhGrad

Factory method to create a class wrapping a new TanhGrad operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateDiv

Factory method to create a class wrapping a new TruncateDiv operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateMod

Factory method to create a class wrapping a new TruncateMod operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMax

Factory method to create a class wrapping a new UnsortedSegmentMax operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMin

Factory method to create a class wrapping a new UnsortedSegmentMin operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentProd

Factory method to create a class wrapping a new UnsortedSegmentProd operation.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.math.UnsortedSegmentSum

Factory method to create a class wrapping a new UnsortedSegmentSum operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xdivy

Factory method to create a class wrapping a new Xdivy operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlogy

Factory method to create a class wrapping a new Xlogy operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Zeta

Factory method to create a class wrapping a new Zeta operation.

create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Static method in class org.tensorflow.op.nn.AvgPool

Factory method to create a class wrapping a new AvgPool operation.

create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3d

Factory method to create a class wrapping a new AvgPool3d operation.

create(Scope, Operand<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 wrapping a new AvgPool3dGrad operation.

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 wrapping a new AvgPoolGrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization

Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.

create(Scope, Operand<T>, Operand<T>, BiasAdd.Options...) - Static method in class org.tensorflow.op.nn.BiasAdd

Factory method to create a class wrapping a new BiasAdd operation.

create(Scope, Operand<T>, BiasAddGrad.Options...) - Static method in class org.tensorflow.op.nn.BiasAddGrad

Factory method to create a class wrapping a new BiasAddGrad operation.

create(Scope, Operand<Long>, Operand<Long>, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits

Factory method to create a class wrapping a new ComputeAccidentalHits operation.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Static method in class org.tensorflow.op.nn.Conv2d

Factory method to create a class wrapping a new Conv2d operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

Factory method to create a class wrapping a new Conv2dBackpropFilter operation.

create(Scope, Operand<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 wrapping a new Conv2dBackpropInput operation.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Static method in class org.tensorflow.op.nn.Conv3d

Factory method to create a class wrapping a new Conv3d operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter

Factory method to create a class wrapping a new Conv3dBackpropFilter operation.

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 wrapping a new Conv3dBackpropInput operation.

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 wrapping a new CtcBeamSearchDecoder operation.

create(Scope, Operand<Float>, Operand<Integer>, CtcGreedyDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder

Factory method to create a class wrapping a new CtcGreedyDecoder operation.

create(Scope, Operand<Float>, Operand<Long>, Operand<Integer>, Operand<Integer>, CtcLoss.Options...) - Static method in class org.tensorflow.op.nn.CtcLoss

Factory method to create a class wrapping a new CtcLoss operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRnn.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnn

Factory method to create a class wrapping a new CudnnRnn operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<?>, CudnnRnnBackprop.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnBackprop

Factory method to create a class wrapping a new CudnnRnnBackprop operation.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRnnCanonicalToParams.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnCanonicalToParams

Factory method to create a class wrapping a new CudnnRnnCanonicalToParams operation.

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 wrapping a new CudnnRnnParamsSize operation.

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 wrapping a new CudnnRnnParamsToCanonical operation.

create(Scope, Operand<T>, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.nn.DataFormatDimMap

Factory method to create a class wrapping a new DataFormatDimMap operation.

create(Scope, Operand<T>, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute

Factory method to create a class wrapping a new DataFormatVecPermute operation.

create(Scope, Operand<T>, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.nn.DepthToSpace

Factory method to create a class wrapping a new DepthToSpace operation.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative

Factory method to create a class wrapping a new DepthwiseConv2dNative operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter

Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropFilter operation.

create(Scope, Operand<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 wrapping a new DepthwiseConv2dNativeBackpropInput operation.

create(Scope, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2d

Factory method to create a class wrapping a new Dilation2d operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropFilter

Factory method to create a class wrapping a new Dilation2dBackpropFilter operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropInput

Factory method to create a class wrapping a new Dilation2dBackpropInput operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Elu

Factory method to create a class wrapping a new Elu operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.EluGrad

Factory method to create a class wrapping a new EluGrad operation.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler

Factory method to create a class wrapping a new FixedUnigramCandidateSampler operation.

create(Scope, Operand<T>, List<Float>, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPool

Factory method to create a class wrapping a new FractionalAvgPool operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad

Factory method to create a class wrapping a new FractionalAvgPoolGrad operation.

create(Scope, Operand<T>, List<Float>, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPool

Factory method to create a class wrapping a new FractionalMaxPool operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, Operand<Long>, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad

Factory method to create a class wrapping a new FractionalMaxPoolGrad operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNorm

Factory method to create a class wrapping a new FusedBatchNorm operation.

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 wrapping a new FusedBatchNormGrad operation.

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 wrapping a new FusedPadConv2d operation.

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 wrapping a new FusedResizeAndPadConv2d operation.

create(Scope, Operand<Float>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InTopK

Factory method to create a class wrapping a new InTopK operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InvGrad

Factory method to create a class wrapping a new InvGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.L2Loss

Factory method to create a class wrapping a new L2Loss operation.

create(Scope, Operand<T>, LeakyRelu.Options...) - Static method in class org.tensorflow.op.nn.LeakyRelu

Factory method to create a class wrapping a new LeakyRelu operation.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler

Factory method to create a class wrapping a new LearnedUnigramCandidateSampler operation.

create(Scope, Operand<T>, LocalResponseNormalization.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization

Factory method to create a class wrapping a new LocalResponseNormalization operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, LocalResponseNormalizationGrad.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad

Factory method to create a class wrapping a new LocalResponseNormalizationGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.LogSoftmax

Factory method to create a class wrapping a new LogSoftmax operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPool.Options...) - Static method in class org.tensorflow.op.nn.MaxPool

Factory method to create a class wrapping a new MaxPool operation.

create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3d

Factory method to create a class wrapping a new MaxPool3d operation.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad

Factory method to create a class wrapping a new MaxPool3dGrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad

Factory method to create a class wrapping a new MaxPool3dGradGrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGrad

Factory method to create a class wrapping a new MaxPoolGrad operation.

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 wrapping a new MaxPoolGradGrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax

Factory method to create a class wrapping a new MaxPoolGradGradWithArgmax operation.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPoolGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax

Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.

create(Scope, Operand<T>, List<Long>, List<Long>, Class<U>, String, MaxPoolWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax

Factory method to create a class wrapping a new MaxPoolWithArgmax operation.

create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax

Factory method to create a class wrapping a new MaxPoolWithArgmax operation using default output types.

create(Scope, Operand<T>, Operand<Integer>, NthElement.Options...) - Static method in class org.tensorflow.op.nn.NthElement

Factory method to create a class wrapping a new NthElement operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedAvgPool

Factory method to create a class wrapping a new QuantizedAvgPool operation.

create(Scope, Operand<T>, Operand<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 wrapping a new QuantizedBatchNormWithGlobalNormalization operation.

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 wrapping a new QuantizedBiasAdd operation.

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 wrapping a new QuantizedConv2d operation.

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 wrapping a new QuantizedInstanceNorm operation.

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 wrapping a new QuantizedMaxPool operation.

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 wrapping a new QuantizedRelu operation.

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 wrapping a new QuantizedRelu6 operation.

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 wrapping a new QuantizedReluX operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu

Factory method to create a class wrapping a new Relu operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6

Factory method to create a class wrapping a new Relu6 operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6Grad

Factory method to create a class wrapping a new Relu6Grad operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.ReluGrad

Factory method to create a class wrapping a new ReluGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Selu

Factory method to create a class wrapping a new Selu operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SeluGrad

Factory method to create a class wrapping a new SeluGrad operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softmax

Factory method to create a class wrapping a new Softmax operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits

Factory method to create a class wrapping a new SoftmaxCrossEntropyWithLogits operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softsign

Factory method to create a class wrapping a new Softsign operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftsignGrad

Factory method to create a class wrapping a new SoftsignGrad operation.

create(Scope, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.nn.SpaceToBatch

Factory method to create a class wrapping a new SpaceToBatch operation.

create(Scope, Operand<T>, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.nn.SpaceToDepth

Factory method to create a class wrapping a new SpaceToDepth operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits

Factory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation.

create(Scope, Operand<T>, Operand<Integer>, TopK.Options...) - Static method in class org.tensorflow.op.nn.TopK

Factory method to create a class wrapping a new TopK operation.

create(ExecutionEnvironment) - Static method in class org.tensorflow.op.Ops

Creates an API for building operations in the provided environment

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 wrapping a new Dequantize operation.

create(Scope, Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs

Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.

create(Scope, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient

Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars

Factory method to create a class wrapping a new FakeQuantWithMinMaxVars operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient

Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel

Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannel operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient

Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannelGradient operation.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, Quantize.Options...) - Static method in class org.tensorflow.op.quantization.Quantize

Factory method to create a class wrapping a new Quantize operation.

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 wrapping a new QuantizeAndDequantize operation.

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 wrapping a new QuantizeDownAndShrinkRange operation.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.quantization.RequantizationRange

Factory method to create a class wrapping a new RequantizationRange operation.

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 wrapping a new Requantize operation.

create(Scope, Operand<Long>, Long, Long, Boolean, AllCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.AllCandidateSampler

Factory method to create a class wrapping a new AllCandidateSampler operation.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler

Factory method to create a class wrapping a new LogUniformCandidateSampler operation.

create(Scope, Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial

Factory method to create a class wrapping a new Multinomial operation.

create(Scope, Operand<T>, Operand<Integer>, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial

Factory method to create a class wrapping a new Multinomial operation using default output types.

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 wrapping a new ParameterizedTruncatedNormal operation.

create(Scope, Operand<T>, Operand<U>, RandomGamma.Options...) - Static method in class org.tensorflow.op.random.RandomGamma

Factory method to create a class wrapping a new RandomGamma operation.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.random.RandomGammaGrad

Factory method to create a class wrapping a new RandomGammaGrad operation.

create(Scope, Operand<T>, Operand<U>, Class<V>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson

Factory method to create a class wrapping a new RandomPoisson operation.

create(Scope, Operand<T>, Operand<U>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson

Factory method to create a class wrapping a new RandomPoisson operation using default output types.

create(Scope, Operand<T>, RandomShuffle.Options...) - Static method in class org.tensorflow.op.random.RandomShuffle

Factory method to create a class wrapping a new RandomShuffle operation.

create(Scope, Operand<T>, Class<U>, RandomStandardNormal.Options...) - Static method in class org.tensorflow.op.random.RandomStandardNormal

Factory method to create a class wrapping a new RandomStandardNormal operation.

create(Scope, Operand<T>, Class<U>, RandomUniform.Options...) - Static method in class org.tensorflow.op.random.RandomUniform

Factory method to create a class wrapping a new RandomUniform operation.

create(Scope, Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.random.RandomUniformInt

Factory method to create a class wrapping a new RandomUniformInt operation.

create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.random.RecordInput

Factory method to create a class wrapping a new RecordInput operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessMultinomial

Factory method to create a class wrapping a new StatelessMultinomial operation.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessMultinomial

Factory method to create a class wrapping a new StatelessMultinomial operation using default output types.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal

Factory method to create a class wrapping a new StatelessRandomNormal operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal

Factory method to create a class wrapping a new StatelessRandomNormal operation using default output types.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform

Factory method to create a class wrapping a new StatelessRandomUniform operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform

Factory method to create a class wrapping a new StatelessRandomUniform operation using default output types.

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 wrapping a new StatelessRandomUniformInt operation.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal

Factory method to create a class wrapping a new StatelessTruncatedNormal operation.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal

Factory method to create a class wrapping a new StatelessTruncatedNormal operation using default output types.

create(Scope, Operand<T>, Class<U>, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.TruncatedNormal

Factory method to create a class wrapping a new TruncatedNormal operation.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.UniformCandidateSampler

Factory method to create a class wrapping a new UniformCandidateSampler operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft

Factory method to create a class wrapping a new BatchFft operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft2d

Factory method to create a class wrapping a new BatchFft2d operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchFft3d

Factory method to create a class wrapping a new BatchFft3d operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft

Factory method to create a class wrapping a new BatchIfft operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft2d

Factory method to create a class wrapping a new BatchIfft2d operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.signal.BatchIfft3d

Factory method to create a class wrapping a new BatchIfft3d operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft

Factory method to create a class wrapping a new Fft operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft2d

Factory method to create a class wrapping a new Fft2d operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft3d

Factory method to create a class wrapping a new Fft3d operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft

Factory method to create a class wrapping a new Ifft operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft2d

Factory method to create a class wrapping a new Ifft2d operation.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft3d

Factory method to create a class wrapping a new Ifft3d operation.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft

Factory method to create a class wrapping a new Irfft operation.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft2d

Factory method to create a class wrapping a new Irfft2d operation.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Irfft3d

Factory method to create a class wrapping a new Irfft3d operation.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft

Factory method to create a class wrapping a new Rfft operation.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft2d

Factory method to create a class wrapping a new Rfft2d operation.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.signal.Rfft3d

Factory method to create a class wrapping a new Rfft3d operation.

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 wrapping a new AddManySparseToTensorsMap operation.

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 wrapping a new AddSparseToTensorsMap operation.

create(Scope, Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation

Factory method to create a class wrapping a new DenseToDenseSetOperation operation.

create(Scope, Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation

Factory method to create a class wrapping a new DenseToSparseSetOperation operation.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.sparse.DeserializeSparse

Factory method to create a class wrapping a new DeserializeSparse operation.

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 wrapping a new SparseAccumulatorApplyGradient operation.

create(Scope, Operand<String>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient

Factory method to create a class wrapping a new SparseAccumulatorTakeGradient operation.

create(Scope, Operand<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 wrapping a new SparseAdd operation.

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 wrapping a new SparseAddGrad operation.

create(Scope, Iterable<Operand<Long>>, Iterable<Operand<T>>, Iterable<Operand<Long>>, Long) - Static method in class org.tensorflow.op.sparse.SparseConcat

Factory method to create a class wrapping a new SparseConcat operation.

create(Scope, Class<T>, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator

Factory method to create a class wrapping a new SparseConditionalAccumulator operation.

create(Scope, 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 wrapping a new SparseCross operation.

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 wrapping a new SparseDenseCwiseAdd operation.

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 wrapping a new SparseDenseCwiseDiv operation.

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 wrapping a new SparseDenseCwiseMul operation.

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 wrapping a new SparseFillEmptyRows operation.

create(Scope, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad

Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.

create(Scope, Operand<T>, Operand<U>, SparseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseMatMul

Factory method to create a class wrapping a new SparseMatMul operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMax

Factory method to create a class wrapping a new SparseReduceMax operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse

Factory method to create a class wrapping a new SparseReduceMaxSparse operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSum

Factory method to create a class wrapping a new SparseReduceSum operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse

Factory method to create a class wrapping a new SparseReduceSumSparse operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseReorder

Factory method to create a class wrapping a new SparseReorder operation.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseReshape

Factory method to create a class wrapping a new SparseReshape operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean

Factory method to create a class wrapping a new SparseSegmentMean operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad

Factory method to create a class wrapping a new SparseSegmentMeanGrad operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments

Factory method to create a class wrapping a new SparseSegmentMeanWithNumSegments operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN

Factory method to create a class wrapping a new SparseSegmentSqrtN operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad

Factory method to create a class wrapping a new SparseSegmentSqrtNGrad operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments

Factory method to create a class wrapping a new SparseSegmentSqrtNWithNumSegments operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum

Factory method to create a class wrapping a new SparseSegmentSum operation.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments

Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.

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 wrapping a new SparseSlice operation.

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 wrapping a new SparseSliceGrad operation.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.sparse.SparseSoftmax

Factory method to create a class wrapping a new SparseSoftmax operation.

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 wrapping a new SparseSparseMaximum operation.

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 wrapping a new SparseSparseMinimum operation.

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 wrapping a new SparseSplit operation.

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 wrapping a new SparseTensorDenseAdd operation.

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 wrapping a new SparseTensorDenseMatMul operation.

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 wrapping a new SparseToDense operation.

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 wrapping a new SparseToSparseSetOperation operation.

create(Scope, Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap

Factory method to create a class wrapping a new TakeManySparseFromTensorsMap operation.

create(Scope, Iterable<Operand<String>>, Join.Options...) - Static method in class org.tensorflow.op.strings.Join

Factory method to create a class wrapping a new Join operation.

create(Scope, Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Static method in class org.tensorflow.op.strings.ReduceJoin

Factory method to create a class wrapping a new ReduceJoin operation.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.strings.RegexFullMatch

Factory method to create a class wrapping a new RegexFullMatch operation.

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 wrapping a new RegexReplace operation.

create(Scope, Operand<String>, String) - Static method in class org.tensorflow.op.strings.StaticRegexFullMatch

Factory method to create a class wrapping a new StaticRegexFullMatch operation.

create(Scope, Operand<String>, String, String, StaticRegexReplace.Options...) - Static method in class org.tensorflow.op.strings.StaticRegexReplace

Factory method to create a class wrapping a new StaticRegexReplace operation.

create(Scope, Iterable<Operand<?>>, StringFormat.Options...) - Static method in class org.tensorflow.op.strings.StringFormat

Factory method to create a class wrapping a new StringFormat operation.

create(Scope, Operand<String>, StringLength.Options...) - Static method in class org.tensorflow.op.strings.StringLength

Factory method to create a class wrapping a new StringLength operation.

create(Scope, Operand<String>, Operand<String>, StringSplit.Options...) - Static method in class org.tensorflow.op.strings.StringSplit

Factory method to create a class wrapping a new StringSplit operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.strings.Strip

Factory method to create a class wrapping a new Strip operation.

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 wrapping a new Substr operation.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucket

Factory method to create a class wrapping a new ToHashBucket operation.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucketFast

Factory method to create a class wrapping a new ToHashBucketFast operation.

create(Scope, Operand<String>, Long, List<Long>) - Static method in class org.tensorflow.op.strings.ToHashBucketStrong

Factory method to create a class wrapping a new ToHashBucketStrong operation.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.strings.ToNumber

Factory method to create a class wrapping a new ToNumber operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.strings.ToNumber

Factory method to create a class wrapping a new ToNumber operation using default output types.

create(Scope, Operand<String>, String, Class<T>, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation.

create(Scope, Operand<String>, String, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation using default output types.

create(Scope, Operand<Integer>) - Static method in class org.tensorflow.op.strings.UnicodeScript

Factory method to create a class wrapping a new UnicodeScript operation.

create(Scope, Operand<String>, String, String, UnicodeTranscode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeTranscode

Factory method to create a class wrapping a new UnicodeTranscode operation.

create(Scope, Operand<String>, Operand<Float>, Operand<Float>, AudioSummary.Options...) - Static method in class org.tensorflow.op.summary.AudioSummary

Factory method to create a class wrapping a new AudioSummary operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.summary.CloseSummaryWriter

Factory method to create a class wrapping a new CloseSummaryWriter operation.

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 wrapping a new CreateSummaryDbWriter operation.

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 wrapping a new CreateSummaryFileWriter operation.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.summary.FlushSummaryWriter

Factory method to create a class wrapping a new FlushSummaryWriter operation.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.HistogramSummary

Factory method to create a class wrapping a new HistogramSummary operation.

create(Scope, Operand<String>, Operand<T>, ImageSummary.Options...) - Static method in class org.tensorflow.op.summary.ImageSummary

Factory method to create a class wrapping a new ImageSummary operation.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.summary.ImportEvent

Factory method to create a class wrapping a new ImportEvent operation.

create(Scope, Iterable<Operand<String>>) - Static method in class org.tensorflow.op.summary.MergeSummary

Factory method to create a class wrapping a new MergeSummary operation.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.ScalarSummary

Factory method to create a class wrapping a new ScalarSummary operation.

create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.summary.SummaryWriter

Factory method to create a class wrapping a new SummaryWriter operation.

create(Scope, Operand<String>, Operand<T>, Operand<String>) - Static method in class org.tensorflow.op.summary.TensorSummary

Factory method to create a class wrapping a new TensorSummary operation.

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 wrapping a new WriteAudioSummary operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.summary.WriteGraphSummary

Factory method to create a class wrapping a new WriteGraphSummary operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.WriteHistogramSummary

Factory method to create a class wrapping a new WriteHistogramSummary operation.

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 wrapping a new WriteImageSummary operation.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.summary.WriteScalarSummary

Factory method to create a class wrapping a new WriteScalarSummary operation.

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 wrapping a new WriteSummary operation.

create(Scope, Operand<String>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.train.AccumulatorApplyGradient

Factory method to create a class wrapping a new AccumulatorApplyGradient operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.train.AccumulatorNumAccumulated

Factory method to create a class wrapping a new AccumulatorNumAccumulated operation.

create(Scope, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.train.AccumulatorSetGlobalStep

Factory method to create a class wrapping a new AccumulatorSetGlobalStep operation.

create(Scope, Operand<String>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.train.AccumulatorTakeGradient

Factory method to create a class wrapping a new AccumulatorTakeGradient operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ApplyAdadelta

Factory method to create a class wrapping a new ApplyAdadelta operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagrad

Factory method to create a class wrapping a new ApplyAdagrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradDa

Factory method to create a class wrapping a new ApplyAdagradDa operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ApplyAdam

Factory method to create a class wrapping a new ApplyAdam operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ApplyAdaMax

Factory method to create a class wrapping a new ApplyAdaMax operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ApplyAddSign

Factory method to create a class wrapping a new ApplyAddSign operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp

Factory method to create a class wrapping a new ApplyCenteredRmsProp operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ApplyFtrl

Factory method to create a class wrapping a new ApplyFtrl operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyGradientDescent

Factory method to create a class wrapping a new ApplyGradientDescent operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ApplyMomentum

Factory method to create a class wrapping a new ApplyMomentum operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ApplyPowerSign

Factory method to create a class wrapping a new ApplyPowerSign operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad

Factory method to create a class wrapping a new ApplyProximalAdagrad operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent

Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyRmsProp

Factory method to create a class wrapping a new ApplyRmsProp operation.

create(Scope, Class<T>, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ConditionalAccumulator

Factory method to create a class wrapping a new ConditionalAccumulator operation.

create(Scope, Operand<String>, Operand<String>, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping

Factory method to create a class wrapping a new GenerateVocabRemapping operation.

create(Scope, Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints

Factory method to create a class wrapping a new MergeV2Checkpoints operation.

create(Scope, Operand<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 wrapping a new NegTrain operation.

create(Scope, Operand<T>, PreventGradient.Options...) - Static method in class org.tensorflow.op.train.PreventGradient

Factory method to create a class wrapping a new PreventGradient operation.

create(Scope, Operand<?>, 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 wrapping a new ResourceApplyAdadelta operation.

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 wrapping a new ResourceApplyAdagrad operation.

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 wrapping a new ResourceApplyAdagradDa operation.

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 wrapping a new ResourceApplyAdam operation.

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 wrapping a new ResourceApplyAdaMax operation.

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 wrapping a new ResourceApplyAddSign operation.

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 wrapping a new ResourceApplyCenteredRmsProp operation.

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 wrapping a new ResourceApplyFtrl operation.

create(Scope, Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent

Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum

Factory method to create a class wrapping a new ResourceApplyMomentum operation.

create(Scope, Operand<?>, 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 wrapping a new ResourceApplyPowerSign operation.

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 wrapping a new ResourceApplyProximalAdagrad operation.

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 wrapping a new ResourceApplyProximalGradientDescent operation.

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 wrapping a new ResourceApplyRmsProp operation.

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 wrapping a new ResourceSparseApplyAdadelta operation.

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 wrapping a new ResourceSparseApplyAdagrad operation.

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 wrapping a new ResourceSparseApplyAdagradDa operation.

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 wrapping a new ResourceSparseApplyCenteredRmsProp operation.

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 wrapping a new ResourceSparseApplyFtrl operation.

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 wrapping a new ResourceSparseApplyMomentum operation.

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 wrapping a new ResourceSparseApplyProximalAdagrad operation.

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 wrapping a new ResourceSparseApplyProximalGradientDescent operation.

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 wrapping a new ResourceSparseApplyRmsProp operation.

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 wrapping a new Restore operation.

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 wrapping a new RestoreSlice operation.

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 wrapping a new Save operation.

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 wrapping a new SaveSlices operation.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.train.SdcaFprint

Factory method to create a class wrapping a new SdcaFprint operation.

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 wrapping a new SdcaOptimizer operation.

create(Scope, Iterable<Operand<Float>>, Float, Float) - Static method in class org.tensorflow.op.train.SdcaShrinkL1

Factory method to create a class wrapping a new SdcaShrinkL1 operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta

Factory method to create a class wrapping a new SparseApplyAdadelta operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad

Factory method to create a class wrapping a new SparseApplyAdagrad operation.

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 wrapping a new SparseApplyAdagradDa operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp

Factory method to create a class wrapping a new SparseApplyCenteredRmsProp operation.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<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 wrapping a new SparseApplyFtrl operation.

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 wrapping a new SparseApplyMomentum operation.

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 wrapping a new SparseApplyProximalAdagrad operation.

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 wrapping a new SparseApplyProximalGradientDescent operation.

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 wrapping a new SparseApplyRmsProp operation.

create(Scope, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.train.TileGrad

Factory method to create a class wrapping a new TileGrad operation.

create(Object, Class<T>) - Static method in class org.tensorflow.Tensor

Creates a Tensor from a Java object.

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(long[], IntBuffer) - Static method in class org.tensorflow.Tensor

Create a Integer 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[], DoubleBuffer) - Static method in class org.tensorflow.Tensor

Create a Double 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(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(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(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(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(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(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(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.

CreateSummaryDbWriter - Class in org.tensorflow.op.summary

CreateSummaryFileWriter - Class in org.tensorflow.op.summary

CropAndResize - Class in org.tensorflow.op.image

Extracts crops from the input image tensor and resizes them.

cropAndResize(Operand<T>, Operand<Float>, Operand<Integer>, Operand<Integer>, CropAndResize.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an CropAndResize operation

CropAndResize.Options - Class in org.tensorflow.op.image

Optional attributes for CropAndResize

CropAndResizeGradBoxes - Class in org.tensorflow.op.image

Computes the gradient of the crop_and_resize op wrt the input boxes tensor.

cropAndResizeGradBoxes(Operand<Float>, Operand<T>, Operand<Float>, Operand<Integer>, CropAndResizeGradBoxes.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an CropAndResizeGradBoxes operation

CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.image

Optional attributes for CropAndResizeGradBoxes

CropAndResizeGradImage<T extends Number> - Class in org.tensorflow.op.image

Computes the gradient of the crop_and_resize op wrt the input image tensor.

cropAndResizeGradImage(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Class<T>, CropAndResizeGradImage.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an CropAndResizeGradImage operation

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<T extends Number> - Class in org.tensorflow.op.linalg

Compute the pairwise cross product.

cross(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an Cross operation

CrossReplicaSum<T extends Number> - Class in org.tensorflow.op.core

An Op to sum inputs across replicated TPU instances.

CtcBeamSearchDecoder - Class in org.tensorflow.op.nn

Performs beam search decoding on the logits given in input.

ctcBeamSearchDecoder(Operand<Float>, Operand<Integer>, Long, Long, CtcBeamSearchDecoder.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CtcBeamSearchDecoder operation

CtcBeamSearchDecoder.Options - Class in org.tensorflow.op.nn

Optional attributes for CtcBeamSearchDecoder

CtcGreedyDecoder - Class in org.tensorflow.op.nn

Performs greedy decoding on the logits given in inputs.

ctcGreedyDecoder(Operand<Float>, Operand<Integer>, CtcGreedyDecoder.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CtcGreedyDecoder operation

CtcGreedyDecoder.Options - Class in org.tensorflow.op.nn

Optional attributes for CtcGreedyDecoder

CtcLoss - Class in org.tensorflow.op.nn

Calculates the CTC Loss (log probability) for each batch entry.

ctcLoss(Operand<Float>, Operand<Long>, Operand<Integer>, Operand<Integer>, CtcLoss.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CtcLoss operation

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 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 Number> - Class in org.tensorflow.op.nn

Backprop step of CudnnRNN.

CudnnRnnBackprop.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnBackprop

CudnnRNNBackpropV3<T extends Number> - Class in org.tensorflow.op.core

Backprop step of CudnnRNNV3.

CudnnRNNBackpropV3.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNBackpropV3

CudnnRnnCanonicalToParams<T extends Number> - Class in org.tensorflow.op.nn

Converts CudnnRNN params from canonical form to usable form.

cudnnRnnCanonicalToParams(Operand<Integer>, Operand<Integer>, Operand<Integer>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRnnCanonicalToParams.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CudnnRnnCanonicalToParams operation

CudnnRnnCanonicalToParams.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnCanonicalToParams

CudnnRnnParamsSize<U extends Number> - Class in org.tensorflow.op.nn

Computes size of weights that can be used by a Cudnn RNN model.

cudnnRnnParamsSize(Operand<Integer>, Operand<Integer>, Operand<Integer>, Class<T>, Class<U>, CudnnRnnParamsSize.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CudnnRnnParamsSize operation

CudnnRnnParamsSize.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnParamsSize

CudnnRnnParamsToCanonical<T extends Number> - Class in org.tensorflow.op.nn

Retrieves CudnnRNN params in canonical form.

cudnnRnnParamsToCanonical(Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Long, CudnnRnnParamsToCanonical.Options...) - Method in class org.tensorflow.op.NnOps

Builds an CudnnRnnParamsToCanonical operation

CudnnRnnParamsToCanonical.Options - Class in org.tensorflow.op.nn

Optional attributes for CudnnRnnParamsToCanonical

CudnnRNNV3<T extends Number> - Class in org.tensorflow.op.core

A RNN backed by cuDNN.

CudnnRNNV3.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNV3

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

Compute the cumulative product of the tensor `x` along `axis`.

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

Builds an Cumprod operation

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

Optional attributes for Cumprod

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

Compute the cumulative sum of the tensor `x` along `axis`.

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

Builds an Cumsum operation

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() - 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.CollectiveGather

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

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

data - Variable in class org.tensorflow.op.Ops

data() - Method in class org.tensorflow.op.Ops

Returns an API for building data operations

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV3

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNormGradV3.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNormV3

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNormV3.Options

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<T extends Number> - Class in org.tensorflow.op.nn

Returns the dimension index in the destination data format given the one in

dataFormatDimMap(Operand<T>, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DataFormatDimMap operation

DataFormatDimMap.Options - Class in org.tensorflow.op.nn

Optional attributes for DataFormatDimMap

DataFormatVecPermute<T extends Number> - Class in org.tensorflow.op.nn

Returns the permuted vector/tensor in the destination data format given the

dataFormatVecPermute(Operand<T>, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DataFormatVecPermute operation

DataFormatVecPermute.Options - Class in org.tensorflow.op.nn

Optional attributes for DataFormatVecPermute

DataOps - Class in org.tensorflow.op

An API for building data operations as Ops

DatasetToGraph - Class in org.tensorflow.op.data

Returns a serialized GraphDef representing `input_dataset`.

DatasetToSingleElement - Class in org.tensorflow.op.data

Outputs the single element from the given dataset.

DataType - Enum in org.tensorflow

Represents the type of elements in a Tensor as an enum.

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.

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 - Class in org.tensorflow.op.image

Decode and Crop a JPEG-encoded image to a uint8 tensor.

decodeAndCropJpeg(Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an DecodeAndCropJpeg operation

DecodeAndCropJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeAndCropJpeg

DecodeBase64 - Class in org.tensorflow.op.io

Decode web-safe base64-encoded strings.

decodeBase64(Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an DecodeBase64 operation

DecodeBmp - Class in org.tensorflow.op.image

Decode the first frame of a BMP-encoded image to a uint8 tensor.

decodeBmp(Operand<String>, DecodeBmp.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an DecodeBmp operation

DecodeBmp.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeBmp

DecodeCompressed - Class in org.tensorflow.op.io

Decompress strings.

decodeCompressed(Operand<String>, DecodeCompressed.Options...) - Method in class org.tensorflow.op.IoOps

Builds an DecodeCompressed operation

DecodeCompressed.Options - Class in org.tensorflow.op.io

Optional attributes for DecodeCompressed

DecodeCsv - Class in org.tensorflow.op.io

Convert CSV records to tensors.

decodeCsv(Operand<String>, Iterable<Operand<?>>, DecodeCsv.Options...) - Method in class org.tensorflow.op.IoOps

Builds an DecodeCsv operation

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 - Class in org.tensorflow.op.image

Decode the frame(s) of a GIF-encoded image to a uint8 tensor.

decodeGif(Operand<String>) - Method in class org.tensorflow.op.ImageOps

Builds an DecodeGif operation

DecodeJpeg - Class in org.tensorflow.op.image

Decode a JPEG-encoded image to a uint8 tensor.

decodeJpeg(Operand<String>, DecodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an DecodeJpeg operation

DecodeJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for DecodeJpeg

DecodeJsonExample - Class in org.tensorflow.op.io

Convert JSON-encoded Example records to binary protocol buffer strings.

decodeJsonExample(Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an DecodeJsonExample operation

DecodePaddedRaw<T extends Number> - Class in org.tensorflow.op.core

Reinterpret the bytes of a string as a vector of numbers.

decodePaddedRaw(Operand<String>, Operand<Integer>, Class<T>, DecodePaddedRaw.Options...) - Method in class org.tensorflow.op.Ops

Builds an DecodePaddedRaw operation

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

Optional attributes for DecodePaddedRaw

DecodePng<T extends Number> - Class in org.tensorflow.op.image

Decode a PNG-encoded image to a uint8 or uint16 tensor.

decodePng(Operand<String>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an DecodePng operation

decodePng(Operand<String>, Class<T>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an DecodePng operation

DecodePng.Options - Class in org.tensorflow.op.image

Optional attributes for DecodePng

DecodeProto - Class in org.tensorflow.op.core

The op extracts fields from a serialized protocol buffers message into tensors.

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

Optional attributes for DecodeProto

DecodeRaw<T> - Class in org.tensorflow.op.io

Reinterpret the bytes of a string as a vector of numbers.

decodeRaw(Operand<String>, Class<T>, DecodeRaw.Options...) - Method in class org.tensorflow.op.IoOps

Builds an DecodeRaw operation

DecodeRaw.Options - Class in org.tensorflow.op.io

Optional attributes for DecodeRaw

DecodeWav - Class in org.tensorflow.op.audio

Decode a 16-bit PCM WAV file to a float tensor.

decodeWav(Operand<String>, DecodeWav.Options...) - Method in class org.tensorflow.op.AudioOps

Builds an DecodeWav operation

DecodeWav.Options - Class in org.tensorflow.op.audio

Optional attributes for DecodeWav

DeepCopy<T> - Class in org.tensorflow.op.core

Makes a copy of `x`.

deepCopy(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an DeepCopy operation

DeleteIterator - Class in org.tensorflow.op.core

A container for an iterator resource.

deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints

deleteOldDirs(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options

deleter() - Method in class org.tensorflow.op.core.AnonymousIteratorV2

A variant deleter that should be passed into the op that deletes the iterator.

DeleteSessionTensor - Class in org.tensorflow.op.core

Delete the tensor specified by its handle in the session.

deleteSessionTensor(Operand<String>) - Method in class org.tensorflow.op.Ops

Builds an DeleteSessionTensor operation

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<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of 2 `Tensor` inputs.

denseToDenseSetOperation(Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an DenseToDenseSetOperation operation

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

Optional attributes for DenseToDenseSetOperation

DenseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of `Tensor` and `SparseTensor`.

denseToSparseSetOperation(Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, String, DenseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an DenseToSparseSetOperation operation

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<T> - Class in org.tensorflow.op.nn

DepthToSpace for tensors of type T.

depthToSpace(Operand<T>, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DepthToSpace operation

DepthToSpace.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthToSpace

DepthwiseConv2dNative<T extends Number> - Class in org.tensorflow.op.nn

Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.

depthwiseConv2dNative(Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DepthwiseConv2dNative operation

DepthwiseConv2dNative.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNative

DepthwiseConv2dNativeBackpropFilter<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of depthwise convolution with respect to the filter.

depthwiseConv2dNativeBackpropFilter(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DepthwiseConv2dNativeBackpropFilter operation

DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNativeBackpropFilter

DepthwiseConv2dNativeBackpropInput<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradients of depthwise convolution with respect to the input.

depthwiseConv2dNativeBackpropInput(Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps

Builds an DepthwiseConv2dNativeBackpropInput operation

DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.nn

Optional attributes for DepthwiseConv2dNativeBackpropInput

Dequantize - Class in org.tensorflow.op.quantization

Dequantize the 'input' tensor into a float Tensor.

dequantize(Operand<T>, Operand<Float>, Operand<Float>, Dequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an Dequantize operation

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 - Class in org.tensorflow.op.data

Converts the given variant tensor to an iterator and stores it in the given resource.

deserializeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.DataOps

Builds an DeserializeIterator operation

DeserializeManySparse<T> - Class in org.tensorflow.op.io

Deserialize and concatenate `SparseTensors` from a serialized minibatch.

deserializeManySparse(Operand<String>, Class<T>) - Method in class org.tensorflow.op.IoOps

Builds an DeserializeManySparse operation

DeserializeSparse<U> - Class in org.tensorflow.op.sparse

Deserialize `SparseTensor` objects.

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

Builds an DeserializeSparse operation

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 - Class in org.tensorflow.op.core

Deletes the resource specified by the handle.

destroyResourceOp(Operand<?>, DestroyResourceOp.Options...) - Method in class org.tensorflow.op.Ops

Builds an DestroyResourceOp operation

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

Optional attributes for DestroyResourceOp

DestroyTemporaryVariable<T> - Class in org.tensorflow.op.core

Destroys the temporary variable and returns its final value.

destroyTemporaryVariable(Operand<T>, String) - Method in class org.tensorflow.op.Ops

Builds an DestroyTemporaryVariable operation

Det<T> - Class in org.tensorflow.op.linalg

Computes the determinant of one or more square matrices.

det(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an Det operation

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

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

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

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingIntegerBatch

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingIntegerBatch.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseBatch

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseBatch.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.InfeedEnqueue

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.InfeedEnqueue.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.InfeedEnqueuePrelinearizedBuffer

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.InfeedEnqueuePrelinearizedBuffer.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.InfeedEnqueueTuple

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.InfeedEnqueueTuple.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.OutfeedDequeue

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.OutfeedDequeue.Options

deviceOrdinal(Long) - Static method in class org.tensorflow.op.core.OutfeedDequeueTuple

deviceOrdinal(Long) - Method in class org.tensorflow.op.core.OutfeedDequeueTuple.Options

deviceOrdinals() - Method in class org.tensorflow.op.core.TPUOrdinalSelector

A vector 1 or more TPU cores.

devicePlacementPolicy(EagerSession.DevicePlacementPolicy) - Method in class org.tensorflow.EagerSession.Options

Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.

dg() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for gamma.

Diag<T> - Class in org.tensorflow.op.linalg

Returns a batched diagonal tensor with a given batched diagonal values.

diag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an Diag operation

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<T> - Class in org.tensorflow.op.linalg

Returns the batched diagonal part of a batched tensor.

diagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an DiagPart operation

Digamma<T extends Number> - Class in org.tensorflow.op.math

Computes Psi, the derivative of Lgamma (the log of the absolute value of

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

Builds an Digamma operation

Dilation2d<T extends Number> - Class in org.tensorflow.op.nn

Computes the grayscale dilation of 4-D `input` and 3-D `filter` tensors.

dilation2d(Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an Dilation2d operation

Dilation2dBackpropFilter<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradient of morphological 2-D dilation with respect to the filter.

dilation2dBackpropFilter(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an Dilation2dBackpropFilter operation

Dilation2dBackpropInput<T extends Number> - Class in org.tensorflow.op.nn

Computes the gradient of morphological 2-D dilation with respect to the input.

dilation2dBackpropInput(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an Dilation2dBackpropInput operation

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRelu

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndRelu.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DPerChannel

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DPerChannel.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBias

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBias.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options

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.core.CudnnRNNBackpropV3

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNV3

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNV3.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<T> - Class in org.tensorflow.op.math

Returns x / y element-wise.

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

Builds an Div operation

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

Returns 0 if the denominator is zero.

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

Builds an DivNoNan operation

dm() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for mean.

doubleValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Double tensor.

doubleValue() - Method in class org.tensorflow.types.UInt8

DrawBoundingBoxes<T extends Number> - Class in org.tensorflow.op.image

Draw bounding boxes on a batch of images.

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

Builds an DrawBoundingBoxes operation

DrawBoundingBoxesV2<T extends Number> - Class in org.tensorflow.op.core

Draw bounding boxes on a batch of images.

drawBoundingBoxesV2(Operand<T>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an DrawBoundingBoxesV2 operation

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNV3

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

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 building dtypes operations

DtypesOps - Class in org.tensorflow.op

An API for building dtypes operations as Ops

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(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.core.Gradients

dx(Iterable<? extends Operand<?>>) - Method in class org.tensorflow.op.core.Gradients.Options

dx() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad

4D backprop tensor for input.

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<T> - Class in org.tensorflow.op.core

Partitions `data` into `num_partitions` tensors using indices from `partitions`.

dynamicPartition(Operand<T>, Operand<Integer>, Long) - Method in class org.tensorflow.op.Ops

Builds an DynamicPartition operation

dynamicSize(Boolean) - Static method in class org.tensorflow.op.core.TensorArray

dynamicSize(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options

DynamicStitch<T> - Class in org.tensorflow.op.core

Interleave the values from the `data` tensors into a single tensor.

dynamicStitch(Iterable<Operand<Integer>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops

Builds an DynamicStitch operation

E

e() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig

e() - Method in class org.tensorflow.op.linalg.SelfAdjointEig

Eigenvalues.

EagerSession - Class in org.tensorflow

An environment for executing TensorFlow operations eagerly.

EagerSession.DevicePlacementPolicy - Enum in org.tensorflow

Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.

EagerSession.Options - Class in org.tensorflow

EagerSession.ResourceCleanupStrategy - Enum in org.tensorflow

Controls how TensorFlow resources are cleaned up when they are no longer needed.

EditDistance - Class in org.tensorflow.op.core

Computes the (possibly normalized) Levenshtein Edit Distance.

editDistance(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, EditDistance.Options...) - Method in class org.tensorflow.op.Ops

Builds an EditDistance operation

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

Optional attributes for EditDistance

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

elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorListConcat

elementShape(Shape) - Method in class org.tensorflow.op.core.TensorListConcat.Options

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

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

ellipsisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

ellipsisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options

Elu<T extends Number> - Class in org.tensorflow.op.nn

Computes exponential linear: `exp(features) - 1` if < 0, `features` otherwise.

elu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Elu operation

EluGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes gradients for the exponential linear (Elu) operation.

embeddingConfig(String) - Static method in class org.tensorflow.op.core.ConfigureDistributedTPU

embeddingConfig(String) - Method in class org.tensorflow.op.core.ConfigureDistributedTPU.Options

Empty<T> - Class in org.tensorflow.op.core

Creates a tensor with the given shape.

empty(Operand<Integer>, Class<T>, Empty.Options...) - Method in class org.tensorflow.op.Ops

Builds an Empty operation

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

Optional attributes for Empty

emptyRowIndicator() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

1-D.

EmptyTensorList - Class in org.tensorflow.op.core

Creates and returns an empty tensor list.

emptyTensorList(Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an EmptyTensorList operation

EncodeBase64 - Class in org.tensorflow.op.io

Encode strings into web-safe base64 format.

encodeBase64(Operand<String>, EncodeBase64.Options...) - Method in class org.tensorflow.op.IoOps

Builds an EncodeBase64 operation

EncodeBase64.Options - Class in org.tensorflow.op.io

Optional attributes for EncodeBase64

encodedRagged() - Method in class org.tensorflow.op.core.RaggedTensorToVariant

A `variant` Tensor that containing encoded `RaggedTensor`.

EncodeJpeg - Class in org.tensorflow.op.image

JPEG-encode an image.

encodeJpeg(Operand<UInt8>, EncodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an EncodeJpeg operation

EncodeJpeg.Options - Class in org.tensorflow.op.image

Optional attributes for EncodeJpeg

EncodeJpegVariableQuality - Class in org.tensorflow.op.image

JPEG encode input image with provided compression quality.

encodeJpegVariableQuality(Operand<UInt8>, Operand<Integer>) - Method in class org.tensorflow.op.ImageOps

Builds an EncodeJpegVariableQuality operation

EncodePng - Class in org.tensorflow.op.image

PNG-encode an image.

encodePng(Operand<T>, EncodePng.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an EncodePng operation

EncodePng.Options - Class in org.tensorflow.op.image

Optional attributes for EncodePng

EncodeProto - Class in org.tensorflow.op.core

The op serializes protobuf messages provided in the input tensors.

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

Optional attributes for EncodeProto

EncodeWav - Class in org.tensorflow.op.audio

Encode audio data using the WAV file format.

encodeWav(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.AudioOps

Builds an EncodeWav operation

encoding(String) - Static method in class org.tensorflow.op.core.StringLower

encoding(String) - Method in class org.tensorflow.op.core.StringLower.Options

encoding(String) - Static method in class org.tensorflow.op.core.StringUpper

encoding(String) - Method in class org.tensorflow.op.core.StringUpper.Options

encoding(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

encoding(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

end(String) - Static method in class org.tensorflow.op.core.Print

end(String) - Method in class org.tensorflow.op.core.Print.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

endMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

endMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options

EnqueueTPUEmbeddingIntegerBatch - Class in org.tensorflow.op.core

An op that enqueues a list of input batch tensors to TPUEmbedding.

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

Optional attributes for EnqueueTPUEmbeddingIntegerBatch

EnqueueTPUEmbeddingSparseBatch - Class in org.tensorflow.op.core

An op that enqueues TPUEmbedding input indices from a SparseTensor.

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

Optional attributes for EnqueueTPUEmbeddingSparseBatch

EnqueueTPUEmbeddingSparseTensorBatch - Class in org.tensorflow.op.core

Eases the porting of code that uses tf.nn.embedding_lookup_sparse().

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

Optional attributes for EnqueueTPUEmbeddingSparseTensorBatch

EnsureShape<T> - Class in org.tensorflow.op.core

Ensures that the tensor's shape matches the expected shape.

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

Builds an EnsureShape operation

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

env() - Method in class org.tensorflow.op.Scope

Returns the execution environment used by this scope.

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV3

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNormGradV3.Options

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNormV3

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNormV3.Options

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 - Class in org.tensorflow.op.math

Returns the truth value of (x == y) element-wise.

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

Builds an Equal operation

equals(Object) - Method in class org.tensorflow.GraphOperation

equals(Object) - Method in class org.tensorflow.op.PrimitiveOp

equals(Object) - Method in class org.tensorflow.Output

equals(Object) - Method in class org.tensorflow.Shape

Erf<T extends Number> - Class in org.tensorflow.op.math

Computes the Gauss error function of `x` element-wise.

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

Builds an Erf operation

Erfc<T extends Number> - Class in org.tensorflow.op.math

Computes the complementary error function of `x` element-wise.

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

Builds an Erfc operation

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.core.UnicodeDecode

errors(String) - Method in class org.tensorflow.op.core.UnicodeDecode.Options

errors(String) - Static method in class org.tensorflow.op.core.UnicodeEncode

errors(String) - Method in class org.tensorflow.op.core.UnicodeEncode.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

EuclideanNorm<T> - Class in org.tensorflow.op.core

Computes the euclidean norm of elements across dimensions of a tensor.

euclideanNorm(Operand<T>, Operand<U>, EuclideanNorm.Options...) - Method in class org.tensorflow.op.Ops

Builds an EuclideanNorm operation

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

Optional attributes for EuclideanNorm

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

ExecutionEnvironment - Interface in org.tensorflow

Defines an environment for creating and executing TensorFlow Operations.

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

Computes exponential of x element-wise.

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

Builds an Exp operation

ExpandDims<T> - Class in org.tensorflow.op.core

Inserts a dimension of 1 into a tensor's shape.

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

Builds an ExpandDims operation

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

ExperimentalAutoShardDataset - Class in org.tensorflow.op.core

Creates a dataset that shards the input dataset.

ExperimentalBytesProducedStatsDataset - Class in org.tensorflow.op.core

Records the bytes size of each element of `input_dataset` in a StatsAggregator.

ExperimentalChooseFastestDataset - Class in org.tensorflow.op.core

ExperimentalCsvDataset - Class in org.tensorflow.op.data

ExperimentalDatasetCardinality - Class in org.tensorflow.op.core

Returns the cardinality of `input_dataset`.

ExperimentalDatasetToTFRecord - Class in org.tensorflow.op.core

Writes the given dataset to the given file using the TFRecord format.

ExperimentalDenseToSparseBatchDataset - Class in org.tensorflow.op.core

Creates a dataset that batches input elements into a SparseTensor.

ExperimentalDirectedInterleaveDataset - Class in org.tensorflow.op.data

A substitute for `InterleaveDataset` on a fixed list of `N` datasets.

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.

ExperimentalLatencyStatsDataset - Class in org.tensorflow.op.core

Records the latency of producing `input_dataset` elements in a StatsAggregator.

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

ExperimentalParseExampleDataset - Class in org.tensorflow.op.core

Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.

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

Optional attributes for ExperimentalParseExampleDataset

ExperimentalPrivateThreadPoolDataset - Class in org.tensorflow.op.core

Creates a dataset that uses a custom thread pool to compute `input_dataset`.

ExperimentalRandomDataset - Class in org.tensorflow.op.core

Creates a Dataset that returns pseudorandom numbers.

ExperimentalRebatchDataset - Class in org.tensorflow.op.core

Creates a dataset that changes the batch size.

ExperimentalSetStatsAggregatorDataset - Class in org.tensorflow.op.core

ExperimentalSleepDataset - Class in org.tensorflow.op.data

ExperimentalSlidingWindowDataset - Class in org.tensorflow.op.core

Creates a dataset that passes a sliding window over `input_dataset`.

ExperimentalSqlDataset - Class in org.tensorflow.op.core

Creates a dataset that executes a SQL query and emits rows of the result set.

ExperimentalStatsAggregatorHandle - Class in org.tensorflow.op.core

Creates a statistics manager resource.

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

Optional attributes for ExperimentalStatsAggregatorHandle

ExperimentalStatsAggregatorSummary - Class in org.tensorflow.op.core

Produces a summary of any statistics recorded by the given statistics manager.

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

ExperimentalUnbatchDataset - Class in org.tensorflow.op.core

A dataset that splits the elements of its input into multiple elements.

ExperimentalUniqueDataset - Class in org.tensorflow.op.data

Creates a dataset that contains the unique elements of `input_dataset`.

explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d

explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options

explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter

explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options

explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput

explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options

Expm1<T> - Class in org.tensorflow.op.math

Computes exponential of x - 1 element-wise.

expm1(Operand<T>) - Method in class org.tensorflow.op.MathOps

Builds an Expm1 operation

ExtractGlimpse - Class in org.tensorflow.op.image

Extracts a glimpse from the input tensor.

extractGlimpse(Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an ExtractGlimpse operation

ExtractGlimpse.Options - Class in org.tensorflow.op.image

Optional attributes for ExtractGlimpse

ExtractImagePatches<T extends Number> - Class in org.tensorflow.op.image

Extract `patches` from `images` and put them in the "depth" output dimension.

extractImagePatches(Operand<T>, List<Long>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.ImageOps

Builds an ExtractImagePatches operation

ExtractJpegShape<T extends Number> - Class in org.tensorflow.op.image

Extract the shape information of a JPEG-encoded image.

extractJpegShape(Operand<String>) - Method in class org.tensorflow.op.ImageOps

Builds an ExtractJpegShape operation

extractJpegShape(Operand<String>, Class<T>) - Method in class org.tensorflow.op.ImageOps

Builds an ExtractJpegShape operation

ExtractVolumePatches<T extends Number> - Class in org.tensorflow.op.core

Extract `patches` from `input` and put them in the "depth" output dimension.

extractVolumePatches(Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.Ops

Builds an ExtractVolumePatches operation

extrapolationValue(Float) - Static method in class org.tensorflow.op.image.CropAndResize

extrapolationValue(Float) - Method in class org.tensorflow.op.image.CropAndResize.Options

F

Fact - Class in org.tensorflow.op.math

Output a fact about factorials.

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

fact() - Method in class org.tensorflow.op.MathOps

Builds an Fact operation

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 - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

fakeQuantWithMinMaxArgs(Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxArgs operation

FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxArgs

FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxArgs operation.

fakeQuantWithMinMaxArgsGradient(Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxArgsGradient operation

FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxArgsGradient

FakeQuantWithMinMaxVars - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor of type float via global float scalars `min`

fakeQuantWithMinMaxVars(Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVars.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxVars operation

FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVars

FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxVars operation.

fakeQuantWithMinMaxVarsGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxVarsGradient operation

FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVarsGradient

FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.quantization

Fake-quantize the 'inputs' tensor of type float and one of the shapes: `[d]`,

fakeQuantWithMinMaxVarsPerChannel(Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxVarsPerChannel operation

FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.quantization

Optional attributes for FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.quantization

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

fakeQuantWithMinMaxVarsPerChannelGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an FakeQuantWithMinMaxVarsPerChannelGradient 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

featureDimensions() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 1 tensors indicating the best feature dimension for each feature to split for certain nodes if the feature is multi-dimension.

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, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating operation and substitute t for the value it produces.

feed(String, int, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Avoid evaluating the index-th output of operation by substituting t for the value it produces.

feed(Operand<?>, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Use t instead of the Tensor referred to by executing the operation referred to by operand.

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

Make Session.Runner.run() return the output of operation.

fetch(String, int) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the index-th output of operation.

fetch(Output<?>) - Method in class org.tensorflow.Session.Runner

Makes Session.Runner.run() return the Tensor referred to by output.

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

Makes Session.Runner.run() return the Tensor referred to by the output of operand.

Fft<T> - Class in org.tensorflow.op.signal

Fast Fourier transform.

fft(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Fft operation

Fft2d<T> - Class in org.tensorflow.op.signal

2D fast Fourier transform.

fft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Fft2d operation

Fft3d<T> - Class in org.tensorflow.op.signal

3D fast Fourier transform.

fft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Fft3d operation

fieldDelim(String) - Static method in class org.tensorflow.op.io.DecodeCsv

fieldDelim(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options

FifoQueue - Class in org.tensorflow.op.io

A queue that produces elements in first-in first-out order.

fifoQueue(List<Class<?>>, FifoQueue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an FifoQueue operation

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<U> - Class in org.tensorflow.op.core

Creates a tensor filled with a scalar value.

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

Builds an Fill operation

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.

Fingerprint - Class in org.tensorflow.op.core

Generates fingerprint values.

fingerprint() - Method in class org.tensorflow.op.core.Fingerprint

A two-dimensional `Tensor` of type `tf.uint8`.

fingerprint(Operand<T>, Operand<String>) - Method in class org.tensorflow.op.Ops

Builds an Fingerprint operation

FixedLengthRecordDataset - Class in org.tensorflow.op.data

FixedLengthRecordReader - Class in org.tensorflow.op.io

A Reader that outputs fixed-length records from a file.

fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an FixedLengthRecordReader operation

FixedLengthRecordReader.Options - Class in org.tensorflow.op.io

Optional attributes for FixedLengthRecordReader

FixedUnigramCandidateSampler - Class in org.tensorflow.op.nn

Generates labels for candidate sampling with a learned unigram distribution.

fixedUnigramCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps

Builds an FixedUnigramCandidateSampler operation

FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn

Optional attributes for FixedUnigramCandidateSampler

floatValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Float tensor.

floatValue() - Method in class org.tensorflow.types.UInt8

Floor<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise largest integer not greater than x.

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

Builds an Floor operation

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

Returns x // y element-wise.

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

Builds an FloorDiv operation

FloorMod<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

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

Builds an FloorMod operation

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<T extends Number> - Class in org.tensorflow.op.nn

Performs fractional average pooling on the input.

fractionalAvgPool(Operand<T>, List<Float>, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.NnOps

Builds an FractionalAvgPool operation

FractionalAvgPool.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalAvgPool

FractionalAvgPoolGrad<T extends 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<T extends Number> - Class in org.tensorflow.op.nn

Performs fractional max pooling on the input.

fractionalMaxPool(Operand<T>, List<Float>, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.NnOps

Builds an FractionalMaxPool operation

FractionalMaxPool.Options - Class in org.tensorflow.op.nn

Optional attributes for FractionalMaxPool

FractionalMaxPoolGrad<T extends 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<T extends Number,U extends Number> - Class in org.tensorflow.op.nn

Batch normalization.

fusedBatchNorm(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.NnOps

Builds an FusedBatchNorm operation

FusedBatchNorm.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedBatchNorm

FusedBatchNormGrad<T extends Number,U extends Number> - Class in org.tensorflow.op.nn

Gradient for batch normalization.

fusedBatchNormGrad(Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an FusedBatchNormGrad operation

FusedBatchNormGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedBatchNormGrad

FusedBatchNormGradV3<T extends Number,U extends Number> - Class in org.tensorflow.op.core

Gradient for batch normalization.

fusedBatchNormGradV3(Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormGradV3.Options...) - Method in class org.tensorflow.op.Ops

Builds an FusedBatchNormGradV3 operation

FusedBatchNormGradV3.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNormGradV3

FusedBatchNormV3<T extends Number,U extends Number> - Class in org.tensorflow.op.core

Batch normalization.

fusedBatchNormV3(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormV3.Options...) - Method in class org.tensorflow.op.Ops

Builds an FusedBatchNormV3 operation

FusedBatchNormV3.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNormV3

FusedPadConv2d<T extends Number> - Class in org.tensorflow.op.nn

Performs a padding as a preprocess during a convolution.

fusedPadConv2d(Operand<T>, Operand<Integer>, Operand<T>, String, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an FusedPadConv2d operation

FusedResizeAndPadConv2d<T extends Number> - Class in org.tensorflow.op.nn

Performs a resize and 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

Builds an FusedResizeAndPadConv2d operation

FusedResizeAndPadConv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for FusedResizeAndPadConv2d

G

gains() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 1 tensors indicating the best gains for each feature to split for certain nodes.

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<T> - Class in org.tensorflow.op.core

Gather slices from `params` axis `axis` according to `indices`.

gather(Operand<T>, Operand<U>, Operand<V>, Gather.Options...) - Method in class org.tensorflow.op.Ops

Builds an Gather operation

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

Optional attributes for Gather

GatherNd<T> - Class in org.tensorflow.op.core

Gather slices from `params` into a Tensor with shape specified by `indices`.

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

Builds an GatherNd operation

GcsConfigureBlockCache - Class in org.tensorflow.op.core

Re-configures the GCS block cache with the new configuration values.

gcsConfigureBlockCache(Operand<?>, Operand<?>, Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an GcsConfigureBlockCache operation

GcsConfigureCredentials - Class in org.tensorflow.op.core

Configures the credentials used by the GCS client of the local TF runtime.

gcsConfigureCredentials(Operand<String>) - Method in class org.tensorflow.op.Ops

Builds an GcsConfigureCredentials operation

GenerateBigQueryReaderPartitions - Class in org.tensorflow.op.core

Generates serialized partition messages suitable for batch reads.

generateBigQueryReaderPartitions(String, String, String, List<String>, Long, Long, GenerateBigQueryReaderPartitions.Options...) - Method in class org.tensorflow.op.Ops

Builds an GenerateBigQueryReaderPartitions operation

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 - Class in org.tensorflow.op.train

Given a path to new and old vocabulary files, returns a remapping Tensor of

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

Builds an GenerateVocabRemapping operation

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

Optional attributes for GenerateVocabRemapping

GetSessionHandle - Class in org.tensorflow.op.core

Store the input tensor in the state of the current session.

getSessionHandle(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an GetSessionHandle operation

GetSessionTensor<T> - Class in org.tensorflow.op.core

Get the value of the tensor specified by its handle.

getSessionTensor(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an GetSessionTensor operation

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`.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Parameter gradient_accumulators updated by the Adadelta optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

Parameter gradient_accumulators updated by the Adagrad optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Parameter gradient_accumulators updated by the ADAM optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

Parameter gradient_accumulators updated by the FTRL optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

Parameter gradient_accumulators updated by the Momentum optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

Parameter gradient_accumulators updated by the proximal Adagrad optimization algorithm.

gradientAccumulators() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Parameter gradient_accumulators updated by the RMSProp optimization algorithm.

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(Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Builds an Gradients operation

gradients(Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Builds an Gradients operation

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

Optional attributes for Gradients

Graph - Class in org.tensorflow

A data flow graph representing a TensorFlow computation.

Graph() - Constructor for class org.tensorflow.Graph

Create an empty Graph.

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

The graph representation of the dataset (as serialized GraphDef).

graph() - Method in class org.tensorflow.SavedModelBundle

Returns the graph that describes the computation performed by the model.

Graph.WhileSubgraphBuilder - Interface in org.tensorflow

Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop.

GraphOperation - Class in org.tensorflow

Implementation for an Operation added as a node to a Graph.

GraphOperationBuilder - Class in org.tensorflow

An OperationBuilder for adding GraphOperations to a Graph.

Greater - Class in org.tensorflow.op.math

Returns the truth value of (x > y) element-wise.

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

Builds an Greater operation

GreaterEqual - 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

Builds an GreaterEqual operation

GuaranteeConst<T> - Class in org.tensorflow.op.core

Gives a guarantee to the TF runtime that the input tensor is a constant.

guaranteeConst(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an GuaranteeConst operation

H

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

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

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

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

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

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

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

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

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

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

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

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

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

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

handle() - Method in class org.tensorflow.op.core.AnonymousIteratorV2

A handle to the iterator that can be passed to a "MakeIterator" or "IteratorGetNext" op.

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.ExperimentalAutoShardDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalBytesProducedStatsDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalChooseFastestDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalDenseToSparseBatchDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalLatencyStatsDataset

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.ExperimentalParseExampleDataset

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

handle() - Method in class org.tensorflow.op.core.ExperimentalRandomDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalRebatchDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalSetStatsAggregatorDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalSlidingWindowDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalSqlDataset

handle() - Method in class org.tensorflow.op.core.ExperimentalStatsAggregatorHandle

handle() - Method in class org.tensorflow.op.core.ExperimentalUnbatchDataset

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.SamplingDataset

handle() - Method in class org.tensorflow.op.core.ShardDataset

handle() - Method in class org.tensorflow.op.core.SnapshotDataset

handle() - Method in class org.tensorflow.op.core.StatsAggregatorHandleV2

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.CacheDataset

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

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.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.PrefetchDataset

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.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.SparseTensorSliceDataset

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.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.GraphOperation

hashCode() - Method in class org.tensorflow.op.PrimitiveOp

hashCode() - Method in class org.tensorflow.Output

hashCode() - Method in class org.tensorflow.Shape

HashTable - Class in org.tensorflow.op.core

Creates a non-initialized hash table.

hashTable(Class<T>, Class<U>, HashTable.Options...) - Method in class org.tensorflow.op.Ops

Builds an HashTable operation

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<U extends Number> - Class in org.tensorflow.op.core

Return histogram of values.

histogramFixedWidth(Operand<T>, Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an HistogramFixedWidth operation

histogramFixedWidth(Operand<T>, Operand<T>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Builds an HistogramFixedWidth operation

HistogramSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with a histogram.

histogramSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.SummaryOps

Builds an HistogramSummary operation

hopBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader

hopBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options

hostComputeCore(List<String>) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

hostComputeCore(List<String>) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

hostReserved() - Method in class org.tensorflow.op.core.CudnnRNNV3

hostReserved() - Method in class org.tensorflow.op.nn.CudnnRnn

HsvToRgb<T extends Number> - Class in org.tensorflow.op.image

Convert one or more images from HSV to RGB.

hsvToRgb(Operand<T>) - Method in class org.tensorflow.op.ImageOps

Builds an HsvToRgb operation

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<T> - Class in org.tensorflow.op.core

Return a tensor with the same shape and contents as the input tensor or value.

identity(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Identity operation

IdentityN - Class in org.tensorflow.op.core

Returns a list of tensors with the same shapes and contents as the input

identityN(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Builds an IdentityN operation

IdentityReader - Class in org.tensorflow.op.io

A Reader that outputs the queued work as both the key and value.

identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an IdentityReader operation

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<T> - Class in org.tensorflow.op.signal

Inverse fast Fourier transform.

ifft(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Ifft operation

Ifft2d<T> - Class in org.tensorflow.op.signal

Inverse 2D fast Fourier transform.

ifft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Ifft2d operation

Ifft3d<T> - Class in org.tensorflow.op.signal

Inverse 3D fast Fourier transform.

ifft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps

Builds an Ifft3d operation

Igamma<T extends Number> - Class in org.tensorflow.op.math

Compute the lower regularized incomplete Gamma function `P(a, x)`.

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

Builds an Igamma operation

Igammac<T extends Number> - Class in org.tensorflow.op.math

Compute the upper regularized incomplete Gamma function `Q(a, x)`.

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

Builds an Igammac operation

IgammaGradA<T extends 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<U extends Number> - Class in org.tensorflow.op.math

Returns the imaginary part of a complex number.

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

Builds an Imag operation

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

Builds an Imag operation

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 - Variable in class org.tensorflow.op.Ops

image() - Method in class org.tensorflow.op.Ops

Returns an API for building image operations

ImageOps - Class in org.tensorflow.op

An API for building image operations as Ops

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

1-D.

ImageSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with images.

imageSummary(Operand<String>, Operand<T>, ImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps

Builds an ImageSummary operation

ImageSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for ImageSummary

ImmutableConst<T> - Class in org.tensorflow.op.core

Returns immutable tensor from memory region.

immutableConst(Class<T>, Shape, String) - Method in class org.tensorflow.op.Ops

Builds an ImmutableConst operation

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.

includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax

includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Options

includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax

includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Options

includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax

includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax.Options

index() - Method in class org.tensorflow.op.core.KMC2ChainInitialization

Scalar with the index of the sampled point.

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

InfeedDequeue<T> - Class in org.tensorflow.op.core

A placeholder op for a value that will be fed into the computation.

InfeedDequeueTuple - Class in org.tensorflow.op.core

Fetches multiple values from infeed as an XLA tuple.

InfeedEnqueue - Class in org.tensorflow.op.core

An op which feeds a single Tensor value into the computation.

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

Optional attributes for InfeedEnqueue

InfeedEnqueuePrelinearizedBuffer - Class in org.tensorflow.op.core

An op which enqueues prelinearized buffer into TPU infeed.

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

Optional attributes for InfeedEnqueuePrelinearizedBuffer

InfeedEnqueueTuple - Class in org.tensorflow.op.core

Feeds multiple Tensor values into the computation as an XLA tuple.

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

Optional attributes for InfeedEnqueueTuple

init(Boolean) - Static method in class org.tensorflow.op.core.Empty

init(Boolean) - Method in class org.tensorflow.op.core.Empty.Options

InitializeTable - Class in org.tensorflow.op.core

Table initializer that takes two tensors for keys and values respectively.

initializeTable(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an InitializeTable operation

InitializeTableFromTextFile - Class in org.tensorflow.op.core

Initializes a table from a text file.

initializeTableFromTextFile(Operand<?>, Operand<String>, Long, Long, InitializeTableFromTextFile.Options...) - Method in class org.tensorflow.op.Ops

Builds an InitializeTableFromTextFile operation

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<T> - Class in org.tensorflow.op.core

Adds v into specified rows of x.

inplaceAdd(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an InplaceAdd operation

InplaceSub<T> - Class in org.tensorflow.op.core

Subtracts `v` into specified rows of `x`.

inplaceSub(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an InplaceSub operation

InplaceUpdate<T> - Class in org.tensorflow.op.core

Updates specified rows with values in `v`.

inplaceUpdate(Operand<T>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an InplaceUpdate operation

inputBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3

inputBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputCBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3

inputCBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputHBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3

inputHBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

inputListLength(String) - Method in class org.tensorflow.GraphOperation

inputListLength(String) - Method in interface org.tensorflow.Operation

Returns the size of the given inputs list of Tensors for this operation.

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNV3

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

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

InTopK - Class in org.tensorflow.op.nn

Says whether the targets are in the top `K` predictions.

inTopK(Operand<Float>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an InTopK operation

intValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Integer tensor.

intValue() - Method in class org.tensorflow.types.UInt8

Inv<T> - Class in org.tensorflow.op.linalg

Computes the inverse of one or more square invertible matrices or their

inv(Operand<T>, Inv.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an Inv operation

Inv.Options - Class in org.tensorflow.op.linalg

Optional attributes for Inv

Invert<T extends Number> - Class in org.tensorflow.op.bitwise

Flips all bits elementwise.

invert(Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an Invert operation

InvertPermutation<T extends Number> - Class in org.tensorflow.op.math

Computes the inverse permutation of a tensor.

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

Builds an InvertPermutation operation

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 building io operations

IoOps - Class in org.tensorflow.op

An API for building io operations as Ops

Irfft - Class in org.tensorflow.op.signal

Inverse real-valued fast Fourier transform.

irfft(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Irfft operation

Irfft2d - Class in org.tensorflow.op.signal

Inverse 2D real-valued fast Fourier transform.

irfft2d(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Irfft2d operation

Irfft3d - Class in org.tensorflow.op.signal

Inverse 3D real-valued fast Fourier transform.

irfft3d(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Irfft3d operation

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 - Class in org.tensorflow.op.math

Returns which elements of x are finite.

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

Builds an IsFinite operation

isGlobalInit(Boolean) - Static method in class org.tensorflow.op.core.ConfigureDistributedTPU

isGlobalInit(Boolean) - Method in class org.tensorflow.op.core.ConfigureDistributedTPU.Options

IsInf - Class in org.tensorflow.op.math

Returns which elements of x are Inf.

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

Builds an IsInf operation

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 - Class in org.tensorflow.op.math

Returns which elements of x are NaN.

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

Builds an IsNan operation

isTraining(Boolean) - Static method in class org.tensorflow.op.core.CudnnRNNV3

isTraining(Boolean) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV3

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNormGradV3.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNormV3

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNormV3.Options

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 - Class in org.tensorflow.op.core

Checks whether a tensor has been initialized.

isVariableInitialized(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an IsVariableInitialized operation

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.InfeedDequeueTuple

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.OutfeedDequeueTuple

iterator() - Method in class org.tensorflow.op.core.RecvTPUEmbeddingActivations

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.TPUReplicatedOutput

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.ExperimentalIndexedDatasetGet

Iterator - Class in org.tensorflow.op.data

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

IteratorFromStringHandle - Class in org.tensorflow.op.data

IteratorFromStringHandle.Options - Class in org.tensorflow.op.data

Optional attributes for IteratorFromStringHandle

IteratorGetNext - Class in org.tensorflow.op.data

Gets the next output from the given iterator .

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

Builds an IteratorGetNext operation

IteratorGetNextAsOptional - Class in org.tensorflow.op.data

Gets the next output from the given iterator as an Optional variant.

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

Builds an IteratorGetNextAsOptional operation

IteratorGetNextSync - Class in org.tensorflow.op.data

Gets the next output from the given iterator.

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

Builds an IteratorGetNextSync operation

IteratorToStringHandle - Class in org.tensorflow.op.data

Converts the given `resource_handle` representing an iterator to a string.

iteratorToStringHandle(Operand<?>) - Method in class org.tensorflow.op.DataOps

Builds an IteratorToStringHandle operation

J

Join - Class in org.tensorflow.op.strings

Joins the strings in the given list of string tensors into one tensor;

join(Iterable<Operand<String>>, Join.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an Join operation

join() - Method in class org.tensorflow.Server

Blocks until the server has been successfully stopped.

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.EuclideanNorm

keepDims(Boolean) - Method in class org.tensorflow.op.core.EuclideanNorm.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

kernelType(String) - Static method in class org.tensorflow.op.core.ScaleAndTranslate

kernelType(String) - Method in class org.tensorflow.op.core.ScaleAndTranslate.Options

kernelType(String) - Static method in class org.tensorflow.op.core.ScaleAndTranslateGrad

kernelType(String) - Method in class org.tensorflow.op.core.ScaleAndTranslateGrad.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.

KMC2ChainInitialization - Class in org.tensorflow.op.core

Returns the index of a data point that should be added to the seed set.

KmeansPlusPlusInitialization - Class in org.tensorflow.op.core

Selects num_to_sample rows of input using the KMeans++ criterion.

L

L2Loss<T extends Number> - Class in org.tensorflow.op.nn

L2 Loss.

l2Loss(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an L2Loss operation

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.

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

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

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

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

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

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

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

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

LeakyRelu<T extends 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 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 - Class in org.tensorflow.op.nn

Generates labels for candidate sampling with a learned unigram distribution.

learnedUnigramCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps

Builds an LearnedUnigramCandidateSampler operation

LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn

Optional attributes for LearnedUnigramCandidateSampler

leftNodeContribs() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A 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.

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<T extends Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise left-shift of `x` and `y`.

leftShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an LeftShift operation

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.

lengths() - Method in class org.tensorflow.op.core.TensorListConcat

lengths() - Method in class org.tensorflow.op.core.TensorListConcatV2

Less - Class in org.tensorflow.op.math

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

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

Builds an Less operation

LessEqual - 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

Builds an LessEqual operation

Lgamma<T extends Number> - Class in org.tensorflow.op.math

Computes the log of the absolute value of `Gamma(x)` element-wise.

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

Builds an Lgamma operation

linalg - Variable in class org.tensorflow.op.Ops

linalg() - Method in class org.tensorflow.op.Ops

Returns an API for building linalg operations

LinalgOps - Class in org.tensorflow.op

An API for building linalg operations as Ops

linears() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

Parameter linears updated by the FTRL optimization algorithm.

linears() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

Parameter linears updated by the FTRL optimization algorithm.

LinSpace<T extends Number> - Class in org.tensorflow.op.core

Generates values in an interval.

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

Builds an LinSpace operation

littleEndian(Boolean) - Static method in class org.tensorflow.op.core.DecodePaddedRaw

littleEndian(Boolean) - Method in class org.tensorflow.op.core.DecodePaddedRaw.Options

littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodeRaw

littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodeRaw.Options

LmdbReader - Class in org.tensorflow.op.io

A Reader that outputs the records from a LMDB file.

lmdbReader(LmdbReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an LmdbReader operation

LmdbReader.Options - Class in org.tensorflow.op.io

Optional attributes for LmdbReader

load(String, String...) - Static method in class org.tensorflow.SavedModelBundle

Load a saved model from an export directory.

load() - Method in class org.tensorflow.SavedModelBundle.Loader

Load a SavedModelBundle with the configured options.

LoadAndRemapMatrix - Class in org.tensorflow.op.linalg

Loads a 2-D (matrix) `Tensor` with name `old_tensor_name` from the checkpoint

loadAndRemapMatrix(Operand<String>, Operand<String>, Operand<Long>, Operand<Long>, Operand<Float>, Long, Long, LoadAndRemapMatrix.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an LoadAndRemapMatrix operation

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.

LoadTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.core

Load Adadelta embedding parameters.

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

Optional attributes for LoadTPUEmbeddingAdadeltaParameters

LoadTPUEmbeddingAdadeltaParametersGradAccumDebug - Class in org.tensorflow.op.core

Load Adadelta parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

LoadTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.core

Load Adagrad embedding parameters.

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

Optional attributes for LoadTPUEmbeddingAdagradParameters

LoadTPUEmbeddingAdagradParametersGradAccumDebug - Class in org.tensorflow.op.core

Load Adagrad embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingAdagradParametersGradAccumDebug

LoadTPUEmbeddingADAMParameters - Class in org.tensorflow.op.core

Load ADAM embedding parameters.

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

Optional attributes for LoadTPUEmbeddingADAMParameters

LoadTPUEmbeddingADAMParametersGradAccumDebug - Class in org.tensorflow.op.core

Load ADAM embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingADAMParametersGradAccumDebug

LoadTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.core

Load centered RMSProp embedding parameters.

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

Optional attributes for LoadTPUEmbeddingCenteredRMSPropParameters

LoadTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.core

Load FTRL embedding parameters.

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

Optional attributes for LoadTPUEmbeddingFTRLParameters

LoadTPUEmbeddingFTRLParametersGradAccumDebug - Class in org.tensorflow.op.core

Load FTRL embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingFTRLParametersGradAccumDebug

LoadTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.core

Load MDL Adagrad Light embedding parameters.

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

Optional attributes for LoadTPUEmbeddingMDLAdagradLightParameters

LoadTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.core

Load Momentum embedding parameters.

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

Optional attributes for LoadTPUEmbeddingMomentumParameters

LoadTPUEmbeddingMomentumParametersGradAccumDebug - Class in org.tensorflow.op.core

Load Momentum embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingMomentumParametersGradAccumDebug

LoadTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.core

Load proximal Adagrad embedding parameters.

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

Optional attributes for LoadTPUEmbeddingProximalAdagradParameters

LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug - Class in org.tensorflow.op.core

Load proximal Adagrad embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug

LoadTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.core

Load RMSProp embedding parameters.

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

Optional attributes for LoadTPUEmbeddingRMSPropParameters

LoadTPUEmbeddingRMSPropParametersGradAccumDebug - Class in org.tensorflow.op.core

Load RMSProp embedding parameters with debug support.

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

Optional attributes for LoadTPUEmbeddingRMSPropParametersGradAccumDebug

LoadTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.core

Load SGD embedding parameters.

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

Optional attributes for LoadTPUEmbeddingStochasticGradientDescentParameters

LocalResponseNormalization<T extends Number> - Class in org.tensorflow.op.nn

Local Response Normalization.

localResponseNormalization(Operand<T>, LocalResponseNormalization.Options...) - Method in class org.tensorflow.op.NnOps

Builds an LocalResponseNormalization operation

LocalResponseNormalization.Options - Class in org.tensorflow.op.nn

Optional attributes for LocalResponseNormalization

LocalResponseNormalizationGrad<T extends 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<T> - Class in org.tensorflow.op.math

Computes natural logarithm of x element-wise.

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

Builds an Log operation

Log1p<T> - Class in org.tensorflow.op.math

Computes natural logarithm of (1 + x) element-wise.

log1p(Operand<T>) - Method in class org.tensorflow.op.MathOps

Builds an Log1p operation

logAbsDeterminant() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant

The logs of the absolute values of the determinants of the N input matrices.

LogicalAnd - Class in org.tensorflow.op.math

Returns the truth value of x AND y element-wise.

logicalAnd(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Builds an LogicalAnd operation

LogicalNot - Class in org.tensorflow.op.math

Returns the truth value of NOT x element-wise.

logicalNot(Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Builds an LogicalNot operation

LogicalOr - Class in org.tensorflow.op.math

Returns the truth value of x OR y element-wise.

logicalOr(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.MathOps

Builds an LogicalOr operation

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<T> - Class in org.tensorflow.op.linalg

Computes the sign and the log of the absolute value of the determinant of

logMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an LogMatrixDeterminant operation

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<T extends Number> - Class in org.tensorflow.op.nn

Computes log softmax activations.

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

Same shape as `logits`.

logSoftmax(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an LogSoftmax operation

LogUniformCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a log-uniform distribution.

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

Builds an LogUniformCandidateSampler operation

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<T,U> - Class in org.tensorflow.op.core

Outputs all keys and values in the table.

lookupTableExport(Operand<?>, Class<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an LookupTableExport operation

LookupTableFind<U> - Class in org.tensorflow.op.core

Looks up keys in a table, outputs the corresponding values.

lookupTableFind(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an LookupTableFind operation

LookupTableImport - Class in org.tensorflow.op.core

Replaces the contents of the table with the specified keys and values.

lookupTableImport(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an LookupTableImport operation

LookupTableInsert - Class in org.tensorflow.op.core

Updates the table to associates keys with values.

lookupTableInsert(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an LookupTableInsert operation

LookupTableRemove - Class in org.tensorflow.op.core

Removes keys and its associated values from a table.

LookupTableSize - Class in org.tensorflow.op.core

Computes the number of elements in the given table.

lookupTableSize(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an LookupTableSize operation

LoopCond - Class in org.tensorflow.op.core

Forwards the input to the output.

loopCond(Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Builds an LoopCond operation

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 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

Lu<T,U extends Number> - Class in org.tensorflow.op.core

Computes the LU decomposition of one or more square matrices.

lu() - Method in class org.tensorflow.op.core.Lu

A tensor of shape `[..., M, M]` whose strictly lower triangular part denotes the lower triangular factor `L` with unit diagonal, and whose upper triangular part denotes the upper triangular factor `U`.

lu(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Lu operation

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

Builds an Lu operation

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 - Class in org.tensorflow.op.data

Makes a new iterator from the given `dataset` and stores it in `iterator`.

makeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.DataOps

Builds an MakeIterator operation

makeOpName(String) - Method in class org.tensorflow.op.Scope

Create a unique name for an operator, using a provided default if necessary.

MapClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

mapClear(List<Class<?>>, MapClear.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapClear operation

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

Optional attributes for MapClear

MapIncompleteSize - Class in org.tensorflow.op.core

Op returns the number of incomplete elements in the underlying container.

mapIncompleteSize(List<Class<?>>, MapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapIncompleteSize operation

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

Optional attributes for MapIncompleteSize

MapPeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified key.

mapPeek(Operand<Long>, Operand<Integer>, List<Class<?>>, MapPeek.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapPeek operation

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

Optional attributes for MapPeek

MapSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

mapSize(List<Class<?>>, MapSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapSize operation

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

Optional attributes for MapSize

MapStage - Class in org.tensorflow.op.core

Stage (key, values) in the underlying container which behaves like a hashtable.

mapStage(Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, MapStage.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapStage operation

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

Optional attributes for MapStage

MapUnstage - Class in org.tensorflow.op.core

Op removes and returns the values associated with the key

mapUnstage(Operand<Long>, Operand<Integer>, List<Class<?>>, MapUnstage.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapUnstage operation

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

Optional attributes for MapUnstage

MapUnstageNoKey - Class in org.tensorflow.op.core

Op removes and returns a random (key, value)

mapUnstageNoKey(Operand<Integer>, List<Class<?>>, MapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops

Builds an MapUnstageNoKey operation

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

Optional attributes for MapUnstageNoKey

MatchingFiles - Class in org.tensorflow.op.io

Returns the set of files matching one or more glob patterns.

matchingFiles(Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an MatchingFiles operation

math - Variable in class org.tensorflow.op.Ops

math() - Method in class org.tensorflow.op.Ops

Returns an API for building math operations

MathOps - Class in org.tensorflow.op

An API for building math operations as Ops

MatMul<T> - Class in org.tensorflow.op.linalg

Multiply the matrix "a" by the matrix "b".

matMul(Operand<T>, Operand<T>, MatMul.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an MatMul operation

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<T> - Class in org.tensorflow.op.linalg

Solves one or more linear least-squares problems.

matrixSolveLs(Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an MatrixSolveLs operation

MatrixSolveLs.Options - Class in org.tensorflow.op.linalg

Optional attributes for MatrixSolveLs

Max<T> - Class in org.tensorflow.op.core

Computes the maximum of elements across dimensions of a tensor.

max(Operand<T>, Operand<U>, Max.Options...) - Method in class org.tensorflow.op.Ops

Builds an Max operation

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

Returns the max of x and y (i.e.

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

Builds an Maximum operation

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.core.QuantizedConv2DAndRelu

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DPerChannel

The maximum value of the final output tensor.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBias

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

maxOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D

The float value that the maximum quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias

The float value that the maximum quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu

The float value that the maximum quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

The float value that the maximum 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<T> - Class in org.tensorflow.op.nn

Performs max pooling on the input.

maxPool(Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPool.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPool operation

MaxPool.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool

MaxPool3d<T extends Number> - Class in org.tensorflow.op.nn

Performs 3D max pooling on the input.

maxPool3d(Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPool3d operation

MaxPool3d.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3d

MaxPool3dGrad<U extends Number> - Class in org.tensorflow.op.nn

Computes gradients of max pooling function.

maxPool3dGrad(Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPool3dGrad operation

MaxPool3dGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3dGrad

MaxPool3dGradGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

maxPool3dGradGrad(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPool3dGradGrad operation

MaxPool3dGradGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPool3dGradGrad

MaxPoolGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes gradients of the maxpooling function.

maxPoolGrad(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPoolGrad operation

MaxPoolGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGrad

MaxPoolGradGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

maxPoolGradGrad(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPoolGradGrad operation

MaxPoolGradGrad.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGradGrad

MaxPoolGradGradWithArgmax<T extends Number> - Class in org.tensorflow.op.nn

Computes second-order gradients of the maxpooling function.

maxPoolGradGradWithArgmax(Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPoolGradGradWithArgmax operation

MaxPoolGradGradWithArgmax.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGradGradWithArgmax

MaxPoolGradWithArgmax<T extends Number> - Class in org.tensorflow.op.nn

Computes gradients of the maxpooling function.

MaxPoolGradWithArgmax.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolGradWithArgmax

MaxPoolWithArgmax<T extends Number,U extends Number> - Class in org.tensorflow.op.nn

Performs max pooling on the input and outputs both max values and indices.

maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPoolWithArgmax operation

maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, Class<U>, String, MaxPoolWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps

Builds an MaxPoolWithArgmax operation

MaxPoolWithArgmax.Options - Class in org.tensorflow.op.nn

Optional attributes for MaxPoolWithArgmax

maxRowsInMemory(Long) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix

maxRowsInMemory(Long) - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Options

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

maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.core.EnqueueTPUEmbeddingSparseTensorBatch.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<T> - Class in org.tensorflow.op.math

Computes the mean of elements across dimensions of a tensor.

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

Builds an Mean operation

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<T> - Class in org.tensorflow.op.core

Forwards the value of an available tensor from `inputs` to `output`.

merge(Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops

Builds an Merge operation

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 - Class in org.tensorflow.op.summary

Merges summaries.

mergeSummary(Iterable<Operand<String>>) - Method in class org.tensorflow.op.SummaryOps

Builds an MergeSummary operation

MergeV2Checkpoints - Class in org.tensorflow.op.train

V2 format specific: merges the metadata files of sharded checkpoints.

mergeV2Checkpoints(Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an MergeV2Checkpoints operation

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 - Class in org.tensorflow.op.audio

Transforms a spectrogram into a form that's useful for speech recognition.

mfcc(Operand<Float>, Operand<Integer>, Mfcc.Options...) - Method in class org.tensorflow.op.AudioOps

Builds an Mfcc operation

Mfcc.Options - Class in org.tensorflow.op.audio

Optional attributes for Mfcc

mg() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

Parameter mg updated by the centered RMSProp optimization algorithm.

Min<T> - Class in org.tensorflow.op.core

Computes the minimum of elements across dimensions of a tensor.

min(Operand<T>, Operand<U>, Min.Options...) - Method in class org.tensorflow.op.Ops

Builds an Min operation

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

Returns the min of x and y (i.e.

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

Builds an Minimum operation

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.core.QuantizedConv2DAndRelu

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DPerChannel

The minimum value of the final output tensor.

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBias

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

minOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D

The float value that the minimum quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias

The float value that the minimum quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu

The float value that the minimum quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

The float value that the minimum 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<T> - Class in org.tensorflow.op.core

Pads a tensor with mirrored values.

mirrorPad(Operand<T>, Operand<U>, String) - Method in class org.tensorflow.op.Ops

Builds an MirrorPad operation

MirrorPadGrad<T> - Class in org.tensorflow.op.core

Gradient op for `MirrorPad` op.

Mod<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

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

Builds an Mod operation

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.

ModelDataset.Options - Class in org.tensorflow.op.data

Optional attributes for ModelDataset

mom() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

Parameter mom updated by the centered RMSProp optimization algorithm.

mom() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

Parameter mom updated by the RMSProp optimization algorithm.

mom() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Parameter mom updated by the RMSProp optimization algorithm.

momenta() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

Parameter momenta updated by the ADAM optimization algorithm.

momenta() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Parameter momenta updated by the ADAM optimization algorithm.

momenta() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters

Parameter momenta updated by the Momentum optimization algorithm.

momenta() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

Parameter momenta updated by the Momentum optimization algorithm.

ms() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

Parameter ms updated by the centered RMSProp optimization algorithm.

ms() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

Parameter ms updated by the RMSProp optimization algorithm.

ms() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Parameter ms updated by the RMSProp optimization algorithm.

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

Returns x * y element-wise.

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

Builds an Mul operation

MulNoNan<T> - Class in org.tensorflow.op.core

Returns x * y element-wise.

mulNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an MulNoNan operation

MultiDeviceIterator - Class in org.tensorflow.op.data

Creates a MultiDeviceIterator resource.

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

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<U extends Number> - Class in org.tensorflow.op.random

Draws samples from a multinomial distribution.

multinomial(Operand<T>, Operand<Integer>, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an Multinomial operation

multinomial(Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an Multinomial operation

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

Optional attributes for Multinomial

MutableDenseHashTable - Class in org.tensorflow.op.core

Creates an empty hash table that uses tensors as the backing store.

mutableDenseHashTable(Operand<T>, Operand<T>, Class<U>, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops

Builds an MutableDenseHashTable operation

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

Optional attributes for MutableDenseHashTable

MutableHashTable - Class in org.tensorflow.op.core

Creates an empty hash table.

mutableHashTable(Class<T>, Class<U>, MutableHashTable.Options...) - Method in class org.tensorflow.op.Ops

Builds an MutableHashTable operation

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

Optional attributes for MutableHashTable

MutableHashTableOfTensors - Class in org.tensorflow.op.core

Creates an empty hash table.

mutableHashTableOfTensors(Class<T>, Class<U>, MutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops

Builds an MutableHashTableOfTensors operation

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

Optional attributes for MutableHashTableOfTensors

Mutex - Class in org.tensorflow.op.core

Creates a Mutex resource that can be locked by `MutexLock`.

mutex(Mutex.Options...) - Method in class org.tensorflow.op.Ops

Builds an Mutex operation

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

Optional attributes for Mutex

MutexLock - Class in org.tensorflow.op.core

Locks a mutex resource.

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

Builds an MutexLock operation

N

name() - Method in class org.tensorflow.GraphOperation

name() - Method in interface 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 Number> - Class in org.tensorflow.op.core

Outputs a tensor containing the reduction across all input tensors.

NcclBroadcast<T extends Number> - Class in org.tensorflow.op.core

Sends `input` to all devices that are connected to the output.

NcclReduce<T extends 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

nearestCenterDistances() - Method in class org.tensorflow.op.core.NearestNeighbors

Matrix of shape (n, min(m, k)).

nearestCenterIndices() - Method in class org.tensorflow.op.core.NearestNeighbors

Matrix of shape (n, min(m, k)).

NearestNeighbors - Class in org.tensorflow.op.core

Selects the k nearest centers for each point.

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

Computes numerical negative value element-wise.

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

Builds an Neg operation

NegTrain - Class in org.tensorflow.op.train

Training via negative sampling.

negTrain(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, List<Long>, Long) - Method in class org.tensorflow.op.TrainOps

Builds an NegTrain operation

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

newAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

newAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options

NextAfter<T extends Number> - Class in org.tensorflow.op.core

Returns the next representable value of `x1` in the direction of `x2`, element-wise.

nextAfter(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an NextAfter operation

NextIteration<T> - Class in org.tensorflow.op.core

Makes its input available to the next iteration.

nextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an NextIteration operation

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

nmsedBoxes() - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression

A [batch_size, max_detections, 4] float32 tensor containing the non-max suppressed boxes.

nmsedClasses() - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression

A [batch_size, max_detections] float32 tensor containing the classes for the boxes.

nmsedScores() - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression

A [batch_size, max_detections] float32 tensor containing the scores for the boxes.

nn - Variable in class org.tensorflow.op.Ops

nn() - Method in class org.tensorflow.op.Ops

Returns an API for building nn operations

NnOps - Class in org.tensorflow.op

An API for building nn operations as Ops

nodeIds() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 1 tensors indicating possible split node ids for each feature.

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.

noise(String) - Static method in class org.tensorflow.op.image.ExtractGlimpse

noise(String) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options

NonDeterministicInts<U> - Class in org.tensorflow.op.core

Non-deterministically generates some integers.

NonMaxSuppression - Class in org.tensorflow.op.image

Greedily selects a subset of bounding boxes in descending order of score,

nonMaxSuppression(Operand<T>, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an NonMaxSuppression operation

NonMaxSuppression.Options - Class in org.tensorflow.op.image

Optional attributes for NonMaxSuppression

NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.image

Greedily selects a subset of bounding boxes in descending order of score,

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

Builds an NonMaxSuppressionWithOverlaps operation

NoOp - Class in org.tensorflow.op.core

Does nothing.

noOp() - Method in class org.tensorflow.op.Ops

Builds an NoOp operation

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 - Class in org.tensorflow.op.math

Returns the truth value of (x != y) element-wise.

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

Builds an NotEqual operation

NthElement<T extends Number> - Class in org.tensorflow.op.nn

Finds values of the `n`-th order statistic for the last dimension.

nthElement(Operand<T>, Operand<Integer>, NthElement.Options...) - Method in class org.tensorflow.op.NnOps

Builds an NthElement operation

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.

numCoresPerReplica(Long) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

numCoresPerReplica(Long) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

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(Long) - Static method in class org.tensorflow.op.core.TensorListStack

numElements(Long) - Method in class org.tensorflow.op.core.TensorListStack.Options

numElements() - Method in class org.tensorflow.Tensor

Returns the number of elements in a flattened (1-D) view of the tensor.

numFinalizedTrees() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

The number of trees that were finished successfully.

numOutputs() - Method in class org.tensorflow.GraphOperation

numOutputs() - Method in interface 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.core.FusedBatchNormGradV3

A 1D Tensor for the gradient with respect to offset.

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<U> - Class in org.tensorflow.op.core

Returns a one-hot tensor.

oneHot(Operand<T>, Operand<Integer>, Operand<U>, Operand<U>, OneHot.Options...) - Method in class org.tensorflow.op.Ops

Builds an OneHot operation

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

Optional attributes for OneHot

OnesLike<T> - Class in org.tensorflow.op.core

Returns a tensor of ones with the same shape and type as x.

onesLike(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an OnesLike operation

Op - Interface in org.tensorflow.op

A marker interface for all operation wrappers.

op() - Method in class org.tensorflow.op.PrimitiveOp

Returns the underlying Operation

op() - Method in class org.tensorflow.Output

Returns the Operation that will produce the tensor referred to by this Output.

opBuilder(String, String) - Method in class org.tensorflow.EagerSession

opBuilder(String, String) - Method in interface org.tensorflow.ExecutionEnvironment

Returns a builder to create a new Operation.

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(String) - Method in class org.tensorflow.Graph

Returns the operation (node in the Graph) with the provided name.

operation - Variable in class org.tensorflow.op.PrimitiveOp

Operation - Interface in org.tensorflow

Performs computation on Tensors.

OperationBuilder - Interface in org.tensorflow

A builder for Operations.

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 operations as Ops

optimizationConfigs(List<String>) - Static method in class org.tensorflow.op.data.OptimizeDataset

optimizationConfigs(List<String>) - Method in class org.tensorflow.op.data.OptimizeDataset.Options

OptimizeDataset - Class in org.tensorflow.op.data

Creates a dataset by applying optimizations to `input_dataset`.

OptimizeDataset.Options - Class in org.tensorflow.op.data

Optional attributes for OptimizeDataset

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 - Class in org.tensorflow.op.data

Constructs an Optional variant from a tuple of tensors.

optionalFromValue(Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps

Builds an OptionalFromValue operation

OptionalGetValue - Class in org.tensorflow.op.data

Returns the value stored in an Optional variant or raises an error if none exists.

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

Builds an OptionalGetValue operation

OptionalHasValue - Class in org.tensorflow.op.data

Returns true if and only if the given Optional variant has a value.

optionalHasValue(Operand<?>) - Method in class org.tensorflow.op.DataOps

Builds an OptionalHasValue operation

OptionalNone - Class in org.tensorflow.op.data

Creates an Optional variant with no value.

optionalNone() - Method in class org.tensorflow.op.DataOps

Builds an OptionalNone operation

options() - Static method in class org.tensorflow.EagerSession

Returns an object that configures and builds a EagerSession with custom options.

OrderedMapClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

orderedMapClear(List<Class<?>>, OrderedMapClear.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapClear operation

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

Optional attributes for OrderedMapClear

OrderedMapIncompleteSize - Class in org.tensorflow.op.core

Op returns the number of incomplete elements in the underlying container.

orderedMapIncompleteSize(List<Class<?>>, OrderedMapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapIncompleteSize operation

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

Optional attributes for OrderedMapIncompleteSize

OrderedMapPeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified key.

orderedMapPeek(Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapPeek.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapPeek operation

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

Optional attributes for OrderedMapPeek

OrderedMapSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

orderedMapSize(List<Class<?>>, OrderedMapSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapSize operation

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

Optional attributes for OrderedMapSize

OrderedMapStage - Class in org.tensorflow.op.core

Stage (key, values) in the underlying container which behaves like a ordered

orderedMapStage(Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, OrderedMapStage.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapStage operation

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

Optional attributes for OrderedMapStage

OrderedMapUnstage - Class in org.tensorflow.op.core

Op removes and returns the values associated with the key

orderedMapUnstage(Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapUnstage.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapUnstage operation

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

Optional attributes for OrderedMapUnstage

OrderedMapUnstageNoKey - Class in org.tensorflow.op.core

Op removes and returns the (key, value) element with the smallest

orderedMapUnstageNoKey(Operand<Integer>, List<Class<?>>, OrderedMapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops

Builds an OrderedMapUnstageNoKey operation

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.

OutfeedDequeue<T> - Class in org.tensorflow.op.core

Retrieves a single tensor from the computation outfeed.

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

Optional attributes for OutfeedDequeue

OutfeedDequeueTuple - Class in org.tensorflow.op.core

Retrieve multiple values from the computation outfeed.

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

Optional attributes for OutfeedDequeueTuple

OutfeedEnqueue - Class in org.tensorflow.op.core

Enqueue a Tensor on the computation outfeed.

OutfeedEnqueueTuple - Class in org.tensorflow.op.core

Enqueue multiple Tensor values on the computation outfeed.

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.AllToAll

The exchanged result.

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

The reduced tensor.

output() - Method in class org.tensorflow.op.core.BatchMatMulV2

3-D or higher with shape `[..., r_o, c_o]`

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.CollectivePermute

The permuted input.

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.CrossReplicaSum

The sum of all the distributed inputs.

output() - Method in class org.tensorflow.op.core.CudnnRNNV3

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.DecodePaddedRaw

A Tensor with one more dimension than the input `bytes`.

output() - Method in class org.tensorflow.op.core.DrawBoundingBoxesV2

4-D with the same shape as `images`.

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.EuclideanNorm

The reduced tensor.

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.InfeedDequeue

A tensor that will be provided using the infeed mechanism.

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.NextAfter

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

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.NonDeterministicInts

Non-deterministic integer values with specified shape.

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

The one-hot tensor.

output() - Method in class org.tensorflow.op.core.OutfeedDequeue

A tensor that will be read from the device outfeed.

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.Prelinearize

output() - Method in class org.tensorflow.op.core.PrelinearizeTuple

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.QuantizedConv2DAndRelu

output() - Method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedConv2DPerChannel

The output tensor.

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBias

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

output() - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

output() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2D

The output tensor.

output() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBias

The output tensor.

output() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndRelu

The output tensor.

output() - Method in class org.tensorflow.op.core.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

The output tensor.

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.RequantizePerChannel

Output 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.ResourceGatherNd

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.ScaleAndTranslateGrad

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.SelectV2

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.StatefulRandomBinomial

output() - Method in class org.tensorflow.op.core.StatefulStandardNormal

A tensor of the specified shape filled with random normal values.

output() - Method in class org.tensorflow.op.core.StatefulStandardNormalV2

A tensor of the specified shape filled with random normal values.

output() - Method in class org.tensorflow.op.core.StatefulTruncatedNormal

Random values with specified shape.

output() - Method in class org.tensorflow.op.core.StatefulUniform

Random values with specified shape.

output() - Method in class org.tensorflow.op.core.StatefulUniformFullInt

Random values with specified shape.

output() - Method in class org.tensorflow.op.core.StatefulUniformInt

Random values with specified shape.

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.StringLower

output() - Method in class org.tensorflow.op.core.StringUpper

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.TensorScatterAdd

A new tensor copied from tensor and updates added according to the indices.

output() - Method in class org.tensorflow.op.core.TensorScatterSub

A new tensor copied from tensor and updates subtracted according to the indices.

output() - Method in class org.tensorflow.op.core.TensorScatterUpdate

A new tensor with the given shape and updates applied according to the indices.

output() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate

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

output() - Method in class org.tensorflow.op.core.TPUCompilationResult

output() - Method in class org.tensorflow.op.core.TPUEmbeddingActivations

output() - Method in class org.tensorflow.op.core.TPUReplicatedInput

output() - Method in class org.tensorflow.op.core.TridiagonalMatMul

Tensor of shape `[..., M, N]` containing the product.

output() - Method in class org.tensorflow.op.core.TridiagonalSolve

Tensor of shape `[..., M, K]` containing the solutions

output() - Method in class org.tensorflow.op.core.UnicodeEncode

The 1-D Tensor of strings encoded from the provided unicode codepoints.

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.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

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.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 match and rewrite substitution.

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 interface 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.

outputC() - Method in class org.tensorflow.op.core.CudnnRNNV3

outputC() - Method in class org.tensorflow.op.nn.CudnnRnn

outputDenseValues() - Method in class org.tensorflow.op.core.RaggedGather

The `flat_values` for the returned RaggedTensor.

outputDenseValues() - Method in class org.tensorflow.op.core.RaggedTensorFromVariant

A Tensor representing the values of the output `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.core.CudnnRNNV3

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.TensorListResize

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

outputHandle() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList

outputHandle() - Method in class org.tensorflow.op.core.TensorListScatterV2

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

outputHandle() - Method in class org.tensorflow.op.core.TensorListSplit

outputHandle() - Method in class org.tensorflow.op.core.UnwrapDatasetVariant

outputHandle() - Method in class org.tensorflow.op.core.WrapDatasetVariant

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 interface org.tensorflow.Operation

Returns symbolic handles to a list of tensors produced by this operation.

outputListLength(String) - Method in class org.tensorflow.GraphOperation

outputListLength(String) - Method in interface org.tensorflow.Operation

Returns the size of the list of Tensors produced by this operation.

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

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.core.RequantizationRangePerChannel

The maximum value of the final output tensor.

outputMax() - Method in class org.tensorflow.op.core.RequantizePerChannel

The maximum value of the final output tensor.

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.core.RequantizationRangePerChannel

The minimum value of the final output tensor

outputMin() - Method in class org.tensorflow.op.core.RequantizePerChannel

The minimum value of the final output tensor

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.

outputNestedSplits() - Method in class org.tensorflow.op.core.RaggedTensorFromVariant

A list of one or more Tensors representing the splits of the output `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() - Method in class org.tensorflow.op.core.DynamicPartition

outputs() - Method in class org.tensorflow.op.core.InfeedDequeueTuple

A list of tensors that will be provided using the infeed mechanism.

outputs() - Method in class org.tensorflow.op.core.OutfeedDequeueTuple

A list of tensors that will be read from the outfeed.

outputs() - Method in class org.tensorflow.op.core.RecvTPUEmbeddingActivations

A TensorList of embedding activations containing one Tensor per embedding table in the model.

outputs() - Method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Arbitrary number of tensors with arbitrary data types

outputs() - Method in class org.tensorflow.op.core.TPUReplicatedOutput

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

outputs - Variable in class org.tensorflow.Session.Run

Tensors from requested fetches.

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

p() - Method in class org.tensorflow.op.core.Lu

Permutation of the rows encoded as a list of indices in `0..M-1`.

Pad<T> - Class in org.tensorflow.op.core

Pads a tensor.

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

Builds an Pad operation

PaddedBatchDataset - Class in org.tensorflow.op.data

Creates a dataset that batches and pads `batch_size` elements from the input.

PaddedBatchDataset.Options - Class in org.tensorflow.op.data

Optional attributes for PaddedBatchDataset

PaddingFifoQueue - Class in org.tensorflow.op.io

A queue that produces elements in first-in first-out order.

paddingFifoQueue(List<Class<?>>, PaddingFifoQueue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an PaddingFifoQueue operation

PaddingFifoQueue.Options - Class in org.tensorflow.op.io

Optional attributes for PaddingFifoQueue

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndRelu.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRelu

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndReluAndRequantize

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DAndRequantize

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBias.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBias

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRelu

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndReluAndRequantize

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasAndRequantize

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndRelu

paddingList(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options

paddingList(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2DWithBiasSumAndReluAndRequantize

paddingMap(List<String>) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

paddingMap(List<String>) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

padPerClass(Boolean) - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression.Options

padPerClass(Boolean) - Static method in class org.tensorflow.op.core.CombinedNonMaxSuppression

padToMaxOutputSize(Boolean) - Method in class org.tensorflow.op.image.NonMaxSuppression.Options

padToMaxOutputSize(Boolean) - Static method in class org.tensorflow.op.image.NonMaxSuppression

ParallelConcat<T> - Class in org.tensorflow.op.core

Concatenates a list of `N` tensors along the first dimension.

parallelConcat(Iterable<Operand<T>>, Shape) - Method in class org.tensorflow.op.Ops

Builds an ParallelConcat operation

parallelCopy(Boolean) - Method in class org.tensorflow.op.data.BatchDataset.Options

parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.BatchDataset

parallelCopy(Boolean) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options

parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.PaddedBatchDataset

ParallelDynamicStitch<T> - Class in org.tensorflow.op.core

Interleave the values from the `data` tensors into a single tensor.

parallelDynamicStitch(Iterable<Operand<Integer>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops

Builds an ParallelDynamicStitch operation

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<U extends Number> - Class in org.tensorflow.op.random

Outputs random values from a normal distribution.

parameterizedTruncatedNormal(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, ParameterizedTruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an ParameterizedTruncatedNormal operation

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

Optional attributes for ParameterizedTruncatedNormal

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

Parameter parameters updated by the Adadelta optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Parameter parameters updated by the Adadelta optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters

Parameter parameters updated by the Adagrad optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

Parameter parameters updated by the Adagrad optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

Parameter parameters updated by the ADAM optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Parameter parameters updated by the ADAM optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

Parameter parameters updated by the centered RMSProp optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

Parameter parameters updated by the FTRL optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

Parameter parameters updated by the FTRL optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

Parameter parameters updated by the MDL Adagrad Light optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters

Parameter parameters updated by the Momentum optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

Parameter parameters updated by the Momentum optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters

Parameter parameters updated by the proximal Adagrad optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

Parameter parameters updated by the proximal Adagrad optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

Parameter parameters updated by the RMSProp optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

Parameter parameters updated by the RMSProp optimization algorithm.

parameters() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters

Parameter parameters updated by the stochastic gradient descent optimization algorithm.

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

paramsBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3

paramsBackprop() - Method in class org.tensorflow.op.nn.CudnnRnnBackprop

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

ParseExample - Class in org.tensorflow.op.io

Transforms a vector of brain.Example protos (as strings) into typed tensors.

parseExample(Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.IoOps

Builds an ParseExample operation

ParseSequenceExample - Class in org.tensorflow.op.io

Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.

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

Builds an ParseSequenceExample operation

ParseSequenceExample.Options - Class in org.tensorflow.op.io

Optional attributes for ParseSequenceExample

ParseSingleExample - Class in org.tensorflow.op.io

Transforms a tf.Example proto (as a string) into typed tensors.

parseSingleExample(Operand<String>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.IoOps

Builds an ParseSingleExample operation

ParseSingleSequenceExample - Class in org.tensorflow.op.io

Transforms a scalar brain.SequenceExample proto (as strings) 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

Builds an ParseSingleSequenceExample operation

ParseSingleSequenceExample.Options - Class in org.tensorflow.op.io

Optional attributes for ParseSingleSequenceExample

ParseTensor<T> - Class in org.tensorflow.op.io

Transforms a serialized tensorflow.TensorProto proto into a Tensor.

parseTensor(Operand<String>, Class<T>) - Method in class org.tensorflow.op.IoOps

Builds an ParseTensor operation

partialLogits() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 2 Tensor containing logits update (with respect to cached values stored) for each example.

partialPivoting(Boolean) - Method in class org.tensorflow.op.core.TridiagonalSolve.Options

partialPivoting(Boolean) - Static method in class org.tensorflow.op.core.TridiagonalSolve

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<T> - Class in org.tensorflow.op.core

A placeholder op for a value that will be fed into the computation.

placeholder(Class<T>, Placeholder.Options...) - Method in class org.tensorflow.op.Ops

Builds an Placeholder operation

placeholder(String) - Method in class org.tensorflow.op.strings.StringFormat.Options

placeholder(String) - Static method in class org.tensorflow.op.strings.StringFormat

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

Optional attributes for Placeholder

PlaceholderWithDefault<T> - Class in org.tensorflow.op.core

A placeholder op that passes through `input` when its output is not fed.

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

Builds an PlaceholderWithDefault operation

Polygamma<T extends Number> - Class in org.tensorflow.op.math

Compute the polygamma function \\(\psi^{(n)}(x)\\).

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

Builds an Polygamma operation

PopulationCount - Class in org.tensorflow.op.math

Computes element-wise population count (a.k.a.

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

Builds an PopulationCount operation

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

Computes the power of one value to another.

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

Builds an Pow operation

precision(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options

precision(Long) - Static method in class org.tensorflow.op.dtypes.AsString

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

Computed precision at `k` as a `bool Tensor`.

preferredShard(Long) - Method in class org.tensorflow.op.train.RestoreSlice.Options

preferredShard(Long) - Static method in class org.tensorflow.op.train.RestoreSlice

PrefetchDataset - Class in org.tensorflow.op.data

Creates a dataset that asynchronously prefetches elements from `input_dataset`.

PrefetchDataset.Options - Class in org.tensorflow.op.data

Optional attributes for PrefetchDataset

Prelinearize - Class in org.tensorflow.op.core

An op which linearizes one Tensor value to an opaque variant tensor.

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

Optional attributes for Prelinearize

PrelinearizeTuple - Class in org.tensorflow.op.core

An op which linearizes multiple Tensor values to an opaque variant tensor.

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

Optional attributes for PrelinearizeTuple

preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options

preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss

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

An identity op that triggers an error if a gradient is requested.

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

Builds an PreventGradient operation

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 - Class in org.tensorflow.op.core

Prints a string scalar.

print(Operand<String>, Print.Options...) - Method in class org.tensorflow.op.Ops

Builds an Print operation

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

Optional attributes for Print

PriorityQueue - Class in org.tensorflow.op.io

A queue that produces elements sorted by the first component value.

priorityQueue(List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an PriorityQueue operation

PriorityQueue.Options - Class in org.tensorflow.op.io

Optional attributes for PriorityQueue

Prod<T> - Class in org.tensorflow.op.core

Computes the product of elements across dimensions of a tensor.

prod(Operand<T>, Operand<U>, Prod.Options...) - Method in class org.tensorflow.op.Ops

Builds an Prod operation

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<T> - Class in org.tensorflow.op.linalg

Computes the QR decompositions of one or more matrices.

qr(Operand<T>, Qr.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an Qr operation

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 building quantization operations

QuantizationOps - Class in org.tensorflow.op

An API for building quantization operations as Ops

Quantize<T> - Class in org.tensorflow.op.quantization

Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.

quantize(Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, Quantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an Quantize operation

Quantize.Options - Class in org.tensorflow.op.quantization

Optional attributes for Quantize

QuantizeAndDequantize<T extends Number> - Class in org.tensorflow.op.quantization

Quantizes then dequantizes a tensor.

quantizeAndDequantize(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps

Builds an QuantizeAndDequantize operation

QuantizeAndDequantize.Options - Class in org.tensorflow.op.quantization

Optional attributes for QuantizeAndDequantize

QuantizedAdd<V> - Class in org.tensorflow.op.math

Returns x + y element-wise, working on quantized buffers.

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

Builds an QuantizedAdd operation

QuantizedAvgPool<T> - Class in org.tensorflow.op.nn

Produces the average pool of the input tensor for quantized types.

quantizedAvgPool(Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedAvgPool operation

QuantizedBatchNormWithGlobalNormalization<U> - Class in org.tensorflow.op.nn

Quantized Batch normalization.

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

Builds an QuantizedBatchNormWithGlobalNormalization operation

QuantizedBiasAdd<V> - Class in org.tensorflow.op.nn

Adds Tensor 'bias' to Tensor 'input' for Quantized types.

quantizedBiasAdd(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedBiasAdd operation

QuantizedConcat<T> - Class in org.tensorflow.op.core

Concatenates quantized tensors along one dimension.

quantizedConcat(Operand<Integer>, Iterable<Operand<T>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Method in class org.tensorflow.op.Ops

Builds an QuantizedConcat operation

QuantizedConv2d<V> - Class in org.tensorflow.op.nn

Computes a 2D convolution given quantized 4D input and filter tensors.

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

Builds an QuantizedConv2d operation

QuantizedConv2d.Options - Class in org.tensorflow.op.nn

Optional attributes for QuantizedConv2d

QuantizedConv2DAndRelu<V> - Class in org.tensorflow.op.core

QuantizedConv2DAndRelu.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DAndRelu

QuantizedConv2DAndReluAndRequantize<V> - Class in org.tensorflow.op.core

QuantizedConv2DAndReluAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DAndReluAndRequantize

QuantizedConv2DAndRequantize<V> - Class in org.tensorflow.op.core

QuantizedConv2DAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DAndRequantize

QuantizedConv2DPerChannel<V> - Class in org.tensorflow.op.core

Computes QuantizedConv2D per channel.

QuantizedConv2DPerChannel.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DPerChannel

QuantizedConv2DWithBias<V> - Class in org.tensorflow.op.core

QuantizedConv2DWithBias.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBias

QuantizedConv2DWithBiasAndRelu<V> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasAndRelu

QuantizedConv2DWithBiasAndReluAndRequantize<W> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasAndReluAndRequantize

QuantizedConv2DWithBiasAndRequantize<W> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasAndRequantize

QuantizedConv2DWithBiasSignedSumAndReluAndRequantize<X> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

QuantizedConv2DWithBiasSumAndRelu<V> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasSumAndRelu.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasSumAndRelu

QuantizedConv2DWithBiasSumAndReluAndRequantize<X> - Class in org.tensorflow.op.core

QuantizedConv2DWithBiasSumAndReluAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2DWithBiasSumAndReluAndRequantize

QuantizedDepthwiseConv2D<V> - Class in org.tensorflow.op.core

Computes quantized depthwise Conv2D.

QuantizedDepthwiseConv2D.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedDepthwiseConv2D

QuantizedDepthwiseConv2DWithBias<V> - Class in org.tensorflow.op.core

Computes quantized depthwise Conv2D with Bias.

QuantizedDepthwiseConv2DWithBias.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedDepthwiseConv2DWithBias

QuantizedDepthwiseConv2DWithBiasAndRelu<V> - Class in org.tensorflow.op.core

Computes quantized depthwise Conv2D with Bias and Relu.

QuantizedDepthwiseConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedDepthwiseConv2DWithBiasAndRelu

QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W> - Class in org.tensorflow.op.core

Computes quantized depthwise Conv2D with Bias, Relu and Requantize.

QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

QuantizedInstanceNorm<T> - Class in org.tensorflow.op.nn

Quantized Instance normalization.

quantizedInstanceNorm(Operand<T>, Operand<Float>, Operand<Float>, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedInstanceNorm operation

QuantizedInstanceNorm.Options - Class in org.tensorflow.op.nn

Optional attributes for QuantizedInstanceNorm

QuantizedMatMul<V> - Class in org.tensorflow.op.linalg

Perform a quantized matrix multiplication of `a` by the matrix `b`.

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

Builds an QuantizedMatMul operation

QuantizedMatMul.Options - Class in org.tensorflow.op.linalg

Optional attributes for QuantizedMatMul

QuantizedMaxPool<T> - Class in org.tensorflow.op.nn

Produces the max pool of the input tensor for quantized types.

quantizedMaxPool(Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedMaxPool operation

QuantizedMul<V> - Class in org.tensorflow.op.math

Returns x * y element-wise, working on quantized buffers.

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

Builds an QuantizedMul operation

QuantizeDownAndShrinkRange<U> - Class in org.tensorflow.op.quantization

Convert the quantized 'input' tensor into a lower-precision 'output', using the

quantizeDownAndShrinkRange(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.QuantizationOps

Builds an QuantizeDownAndShrinkRange operation

QuantizedRelu<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear: `max(features, 0)`

quantizedRelu(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedRelu operation

QuantizedRelu6<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear 6: `min(max(features, 0), 6)`

quantizedRelu6(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedRelu6 operation

QuantizedReluX<U> - Class in org.tensorflow.op.nn

Computes Quantized Rectified Linear X: `min(max(features, 0), max_value)`

quantizedReluX(Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.NnOps

Builds an QuantizedReluX operation

QuantizedReshape<T> - Class in org.tensorflow.op.core

Reshapes a quantized tensor as per the Reshape op.

quantizedReshape(Operand<T>, Operand<U>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an QuantizedReshape operation

QuantizedResizeBilinear<T> - Class in org.tensorflow.op.image

Resize quantized `images` to `size` using quantized bilinear interpolation.

quantizedResizeBilinear(Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, QuantizedResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an QuantizedResizeBilinear operation

QuantizedResizeBilinear.Options - Class in org.tensorflow.op.image

Optional attributes for QuantizedResizeBilinear

QueueClose - Class in org.tensorflow.op.io

Closes the given queue.

queueClose(Operand<?>, QueueClose.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueClose operation

QueueClose.Options - Class in org.tensorflow.op.io

Optional attributes for QueueClose

QueueDequeue - Class in org.tensorflow.op.io

Dequeues a tuple of one or more tensors from the given queue.

queueDequeue(Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueDequeue operation

QueueDequeue.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeue

QueueDequeueMany - Class in org.tensorflow.op.io

Dequeues `n` tuples of one or more tensors from the given queue.

queueDequeueMany(Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueMany.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueDequeueMany operation

QueueDequeueMany.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeueMany

QueueDequeueUpTo - Class in org.tensorflow.op.io

Dequeues `n` tuples of one or more tensors from the given queue.

queueDequeueUpTo(Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueUpTo.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueDequeueUpTo operation

QueueDequeueUpTo.Options - Class in org.tensorflow.op.io

Optional attributes for QueueDequeueUpTo

QueueEnqueue - Class in org.tensorflow.op.io

Enqueues a tuple of one or more tensors in the given queue.

queueEnqueue(Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueEnqueue operation

QueueEnqueue.Options - Class in org.tensorflow.op.io

Optional attributes for QueueEnqueue

QueueEnqueueMany - Class in org.tensorflow.op.io

Enqueues zero or more tuples of one or more tensors in the given queue.

queueEnqueueMany(Operand<?>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Method in class org.tensorflow.op.IoOps

Builds an QueueEnqueueMany operation

QueueEnqueueMany.Options - Class in org.tensorflow.op.io

Optional attributes for QueueEnqueueMany

QueueIsClosed - Class in org.tensorflow.op.io

Returns true if queue is closed.

queueIsClosed(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an QueueIsClosed operation

QueueSize - Class in org.tensorflow.op.io

Computes the number of elements in the given queue.

queueSize(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an QueueSize operation

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 extends Number,U> - Class in org.tensorflow.op.core

Gather ragged slices from `params` axis `0` according to `indices`.

RaggedRange<U extends Number,T extends Number> - Class in org.tensorflow.op.core

Returns a `RaggedTensor` containing the specified sequences of numbers.

RaggedTensorFromVariant<U extends Number,T> - Class in org.tensorflow.op.core

Decodes a `variant` Tensor into a `RaggedTensor`.

RaggedTensorToSparse<U> - Class in org.tensorflow.op.core

Converts a `RaggedTensor` into a `SparseTensor` with the same values.

RaggedTensorToVariant - Class in org.tensorflow.op.core

Encodes a `RaggedTensor` into a `variant` Tensor.

random - Variable in class org.tensorflow.op.Ops

random() - Method in class org.tensorflow.op.Ops

Returns an API for building random operations

RandomCrop<T extends Number> - Class in org.tensorflow.op.image

Randomly crop `image`.

randomCrop(Operand<T>, Operand<Long>, RandomCrop.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an RandomCrop operation

RandomCrop.Options - Class in org.tensorflow.op.image

Optional attributes for RandomCrop

RandomGamma<U extends Number> - Class in org.tensorflow.op.random

Outputs random values from the Gamma distribution(s) described by alpha.

randomGamma(Operand<T>, Operand<U>, RandomGamma.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomGamma operation

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

Optional attributes for RandomGamma

RandomGammaGrad<T extends 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 building random operations as Ops

RandomPoisson<V extends Number> - Class in org.tensorflow.op.random

Outputs random values from the Poisson distribution(s) described by rate.

randomPoisson(Operand<T>, Operand<U>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomPoisson operation

randomPoisson(Operand<T>, Operand<U>, Class<V>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomPoisson operation

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

Optional attributes for RandomPoisson

RandomShuffle<T> - Class in org.tensorflow.op.random

Randomly shuffles a tensor along its first dimension.

randomShuffle(Operand<T>, RandomShuffle.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomShuffle operation

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

Optional attributes for RandomShuffle

RandomShuffleQueue - Class in org.tensorflow.op.io

A queue that randomizes the order of elements.

randomShuffleQueue(List<Class<?>>, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.IoOps

Builds an RandomShuffleQueue operation

RandomShuffleQueue.Options - Class in org.tensorflow.op.io

Optional attributes for RandomShuffleQueue

RandomStandardNormal<U extends Number> - Class in org.tensorflow.op.random

Outputs random values from a normal distribution.

randomStandardNormal(Operand<T>, Class<U>, RandomStandardNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomStandardNormal operation

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

Optional attributes for RandomStandardNormal

RandomUniform<U extends Number> - Class in org.tensorflow.op.random

Outputs random values from a uniform distribution.

randomUniform(Operand<T>, Class<U>, RandomUniform.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomUniform operation

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

Optional attributes for RandomUniform

RandomUniformInt<U extends Number> - Class in org.tensorflow.op.random

Outputs random integers from a uniform distribution.

randomUniformInt(Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RandomUniformInt operation

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

Optional attributes for RandomUniformInt

Range<T extends Number> - Class in org.tensorflow.op.core

Creates a sequence of numbers.

range(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Range operation

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 - Class in org.tensorflow.op.core

Returns the rank of a tensor.

rank(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Rank operation

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 - Class in org.tensorflow.op.io

Returns the number of records this Reader has produced.

readerNumRecordsProduced(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderNumRecordsProduced operation

ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.io

Returns the number of work units this Reader has finished processing.

readerNumWorkUnitsCompleted(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderNumWorkUnitsCompleted operation

ReaderRead - Class in org.tensorflow.op.io

Returns the next record (key, value pair) produced by a Reader.

readerRead(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderRead operation

ReaderReadUpTo - Class in org.tensorflow.op.io

Returns up to `num_records` (key, value) pairs produced by a Reader.

readerReadUpTo(Operand<?>, Operand<?>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderReadUpTo operation

ReaderReset - Class in org.tensorflow.op.io

Restore a Reader to its initial clean state.

readerReset(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderReset operation

ReaderRestoreState - Class in org.tensorflow.op.io

Restore a reader to a previously saved state.

readerRestoreState(Operand<?>, Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderRestoreState operation

ReaderSerializeState - Class in org.tensorflow.op.io

Produce a string tensor that encodes the state of a Reader.

readerSerializeState(Operand<?>) - Method in class org.tensorflow.op.IoOps

Builds an ReaderSerializeState operation

ReadFile - Class in org.tensorflow.op.io

Reads and outputs the entire contents of the input filename.

readFile(Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an ReadFile operation

ReadVariableOp<T> - Class in org.tensorflow.op.core

Reads the value of a variable.

readVariableOp(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an ReadVariableOp operation

Real<U extends Number> - Class in org.tensorflow.op.math

Returns the real part of a complex number.

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

Builds an Real operation

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

Builds an Real operation

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

Returns x / y element-wise for real types.

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

Builds an RealDiv operation

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

Computes the reciprocal of x element-wise.

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

Builds an Reciprocal operation

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

Computes the gradient for the inverse of `x` wrt its input.

RecordInput - Class in org.tensorflow.op.random

Emits randomized records.

recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an RecordInput operation

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

RecvTPUEmbeddingActivations - Class in org.tensorflow.op.core

An op that receives embedding activations on the TPU.

ReduceAll - Class in org.tensorflow.op.core

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

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

Builds an ReduceAll operation

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

Optional attributes for ReduceAll

ReduceAny - Class in org.tensorflow.op.core

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

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

Builds an ReduceAny operation

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

Optional attributes for ReduceAny

ReduceJoin - Class in org.tensorflow.op.strings

Joins a string Tensor across the given dimensions.

reduceJoin(Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an ReduceJoin operation

ReduceJoin.Options - Class in org.tensorflow.op.strings

Optional attributes for ReduceJoin

ReduceMax<T> - Class in org.tensorflow.op.core

Computes the maximum of elements across dimensions of a tensor.

reduceMax(Operand<T>, Operand<U>, ReduceMax.Options...) - Method in class org.tensorflow.op.Ops

Builds an ReduceMax operation

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

Optional attributes for ReduceMax

ReduceMin<T> - Class in org.tensorflow.op.core

Computes the minimum of elements across dimensions of a tensor.

reduceMin(Operand<T>, Operand<U>, ReduceMin.Options...) - Method in class org.tensorflow.op.Ops

Builds an ReduceMin operation

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

Optional attributes for ReduceMin

ReduceProd<T> - Class in org.tensorflow.op.core

Computes the product of elements across dimensions of a tensor.

reduceProd(Operand<T>, Operand<U>, ReduceProd.Options...) - Method in class org.tensorflow.op.Ops

Builds an ReduceProd operation

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

Optional attributes for ReduceProd

ReduceSum<T> - Class in org.tensorflow.op.core

Computes the sum of elements across dimensions of a tensor.

reduceSum(Operand<T>, Operand<U>, ReduceSum.Options...) - Method in class org.tensorflow.op.Ops

Builds an ReduceSum operation

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<T> - Class in org.tensorflow.op.core

Makes its input available to the next iteration.

refNextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an RefNextIteration operation

RefSelect<T> - Class in org.tensorflow.op.core

Forwards the `index`th element of `inputs` to `output`.

refSelect(Operand<Integer>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops

Builds an RefSelect operation

RefSwitch<T> - Class in org.tensorflow.op.core

Forwards the ref tensor `data` to the output port determined by `pred`.

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

Builds an RefSwitch operation

RegexFullMatch - Class in org.tensorflow.op.strings

Check if the input matches the regex pattern.

regexFullMatch(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.StringsOps

Builds an RegexFullMatch operation

RegexReplace - Class in org.tensorflow.op.strings

Replaces matches of the `pattern` regular expression in `input` with the replacement string provided in `rewrite`.

regexReplace(Operand<String>, Operand<String>, Operand<String>, RegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an RegexReplace operation

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<T> - Class in org.tensorflow.op.nn

Computes rectified linear: `max(features, 0)`.

relu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Relu operation

Relu6<T extends Number> - Class in org.tensorflow.op.nn

Computes rectified linear 6: `min(max(features, 0), 6)`.

relu6(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Relu6 operation

Relu6Grad<T extends Number> - Class in org.tensorflow.op.nn

Computes rectified linear 6 gradients for a Relu6 operation.

ReluGrad<T extends 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 - Class in org.tensorflow.op.core

Execute a sub graph on a remote processor.

remoteFusedGraphExecute(Iterable<Operand<?>>, List<Class<?>>, String) - Method in class org.tensorflow.op.Ops

Builds an RemoteFusedGraphExecute operation

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.core.UnicodeDecode.Options

replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.core.UnicodeDecode

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.core.UnicodeDecode.Options

replacementChar(Long) - Static method in class org.tensorflow.op.core.UnicodeDecode

replacementChar(Long) - Method in class org.tensorflow.op.core.UnicodeEncode.Options

replacementChar(Long) - Static method in class org.tensorflow.op.core.UnicodeEncode

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 - Class in org.tensorflow.op.quantization

Computes a range that covers the actual values present in a quantized tensor.

requantizationRange(Operand<T>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.QuantizationOps

Builds an RequantizationRange operation

RequantizationRangePerChannel - Class in org.tensorflow.op.core

Computes requantization range per channel.

Requantize<U> - Class in org.tensorflow.op.quantization

Converts the quantized `input` tensor into a lower-precision `output`.

requantize(Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.QuantizationOps

Builds an Requantize operation

RequantizePerChannel<U> - Class in org.tensorflow.op.core

Requantizes input with min and max values known per channel.

requireNonEmpty(Boolean) - Method in class org.tensorflow.op.core.ShardDataset.Options

requireNonEmpty(Boolean) - Static method in class org.tensorflow.op.core.ShardDataset

reserveSpace() - Method in class org.tensorflow.op.core.CudnnRNNV3

reserveSpace() - Method in class org.tensorflow.op.nn.CudnnRnn

reserveSpace1() - Method in class org.tensorflow.op.core.FusedBatchNormV3

A 1D Tensor for the computed batch mean, to be reused in the gradient computation.

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.core.FusedBatchNormV3

A 1D Tensor for the computed batch variance (inverted variance in the cuDNN case), 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.core.FusedBatchNormV3

A 1D Tensor for some intermediate results, to be reused in the gradient computation for better efficiency.

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.core.FusedBatchNormGradV3

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.

reserveSpace5() - Method in class org.tensorflow.op.core.FusedBatchNormGradV3

Unused placeholder to match the variance input in FusedBatchNorm.

Reshape<T> - Class in org.tensorflow.op.core

Reshapes a tensor.

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

Builds an Reshape operation

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 - Class in org.tensorflow.op.image

Resize `images` to `size` using area interpolation.

resizeArea(Operand<T>, Operand<Integer>, ResizeArea.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an ResizeArea operation

ResizeArea.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeArea

ResizeBicubic - Class in org.tensorflow.op.image

Resize `images` to `size` using bicubic interpolation.

resizeBicubic(Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an ResizeBicubic operation

ResizeBicubic.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBicubic

ResizeBicubicGrad<T extends 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 - Class in org.tensorflow.op.image

Resize `images` to `size` using bilinear interpolation.

resizeBilinear(Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an ResizeBilinear operation

ResizeBilinear.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeBilinear

ResizeBilinearGrad<T extends 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.core.ScaleAndTranslate

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<T extends Number> - Class in org.tensorflow.op.image

Resize `images` to `size` using nearest neighbor interpolation.

resizeNearestNeighbor(Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an ResizeNearestNeighbor operation

ResizeNearestNeighbor.Options - Class in org.tensorflow.op.image

Optional attributes for ResizeNearestNeighbor

ResizeNearestNeighborGrad<T extends 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 - Class in org.tensorflow.op.train

Update '*var' according to the adadelta scheme.

resourceApplyAdadelta(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyAdadelta operation

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

Optional attributes for ResourceApplyAdadelta

ResourceApplyAdagrad - Class in org.tensorflow.op.train

Update '*var' according to the adagrad scheme.

resourceApplyAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyAdagrad operation

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

Optional attributes for ResourceApplyAdagrad

ResourceApplyAdagradDa - Class in org.tensorflow.op.train

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

resourceApplyAdagradDa(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyAdagradDa operation

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

Optional attributes for ResourceApplyAdagradDa

ResourceApplyAdam - Class in org.tensorflow.op.train

Update '*var' according to the Adam algorithm.

resourceApplyAdam(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

Builds an ResourceApplyAdam operation

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

ResourceApplyAdamWithAmsgrad - Class in org.tensorflow.op.core

Update '*var' according to the Adam algorithm.

resourceApplyAdamWithAmsgrad(Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceApplyAdamWithAmsgrad operation

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

Optional attributes for ResourceApplyAdamWithAmsgrad

ResourceApplyAddSign - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

resourceApplyAddSign(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyAddSign operation

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

Optional attributes for ResourceApplyAddSign

ResourceApplyCenteredRmsProp - Class in org.tensorflow.op.train

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

resourceApplyCenteredRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyCenteredRmsProp operation

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

Optional attributes for ResourceApplyCenteredRmsProp

ResourceApplyFtrl - Class in org.tensorflow.op.train

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

resourceApplyFtrl(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyFtrl operation

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

Optional attributes for ResourceApplyFtrl

ResourceApplyGradientDescent - Class in org.tensorflow.op.train

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

resourceApplyGradientDescent(Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyGradientDescent operation

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

Optional attributes for ResourceApplyGradientDescent

ResourceApplyKerasMomentum - Class in org.tensorflow.op.core

Update '*var' according to the momentum scheme.

resourceApplyKerasMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceApplyKerasMomentum operation

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

Optional attributes for ResourceApplyKerasMomentum

ResourceApplyMomentum - Class in org.tensorflow.op.train

Update '*var' according to the momentum scheme.

resourceApplyMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyMomentum operation

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

Optional attributes for ResourceApplyMomentum

ResourceApplyPowerSign - Class in org.tensorflow.op.train

Update '*var' according to the AddSign update.

resourceApplyPowerSign(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyPowerSign operation

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

Optional attributes for ResourceApplyPowerSign

ResourceApplyProximalAdagrad - Class in org.tensorflow.op.train

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

resourceApplyProximalAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyProximalAdagrad operation

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

Optional attributes for ResourceApplyProximalAdagrad

ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.train

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

resourceApplyProximalGradientDescent(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyProximalGradientDescent operation

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

Optional attributes for ResourceApplyProximalGradientDescent

ResourceApplyRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

resourceApplyRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceApplyRmsProp operation

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

Optional attributes for ResourceApplyRmsProp

resourceCleanupStrategy(EagerSession.ResourceCleanupStrategy) - Method in class org.tensorflow.EagerSession.Options

Controls how TensorFlow resources are cleaned up when no longer needed.

ResourceCountUpTo<T extends Number> - Class in org.tensorflow.op.core

Increments variable pointed to by 'resource' until it reaches 'limit'.

resourceCountUpTo(Operand<?>, Long, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an ResourceCountUpTo operation

ResourceGather<U> - Class in org.tensorflow.op.core

Gather slices from the variable pointed to by `resource` according to `indices`.

resourceGather(Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceGather operation

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

Optional attributes for ResourceGather

ResourceGatherNd<U> - Class in org.tensorflow.op.core

resourceGatherNd(Operand<?>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceGatherNd operation

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

ResourceScatterAdd - Class in org.tensorflow.op.core

Adds sparse updates to the variable referenced by `resource`.

resourceScatterAdd(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterAdd operation

ResourceScatterDiv - Class in org.tensorflow.op.core

Divides sparse updates into the variable referenced by `resource`.

resourceScatterDiv(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterDiv operation

ResourceScatterMax - Class in org.tensorflow.op.core

Reduces sparse updates into the variable referenced by `resource` using the `max` operation.

resourceScatterMax(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterMax operation

ResourceScatterMin - Class in org.tensorflow.op.core

Reduces sparse updates into the variable referenced by `resource` using the `min` operation.

resourceScatterMin(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterMin operation

ResourceScatterMul - Class in org.tensorflow.op.core

Multiplies sparse updates into the variable referenced by `resource`.

resourceScatterMul(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterMul operation

ResourceScatterNdAdd - Class in org.tensorflow.op.core

Applies sparse addition to individual values or slices in a Variable.

resourceScatterNdAdd(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterNdAdd operation

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

Optional attributes for ResourceScatterNdAdd

ResourceScatterNdSub - Class in org.tensorflow.op.core

Applies sparse subtraction to individual values or slices in a Variable.

resourceScatterNdSub(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterNdSub operation

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

Optional attributes for ResourceScatterNdSub

ResourceScatterNdUpdate - Class in org.tensorflow.op.core

Applies sparse `updates` to individual values or slices within a given

resourceScatterNdUpdate(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterNdUpdate operation

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

Optional attributes for ResourceScatterNdUpdate

ResourceScatterSub - Class in org.tensorflow.op.core

Subtracts sparse updates from the variable referenced by `resource`.

resourceScatterSub(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterSub operation

ResourceScatterUpdate - Class in org.tensorflow.op.core

Assigns sparse updates to the variable referenced by `resource`.

resourceScatterUpdate(Operand<?>, Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an ResourceScatterUpdate operation

ResourceSparseApplyAdadelta - Class in org.tensorflow.op.train

var: Should be from a Variable().

resourceSparseApplyAdadelta(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyAdadelta operation

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

Optional attributes for ResourceSparseApplyAdadelta

ResourceSparseApplyAdagrad - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

resourceSparseApplyAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyAdagrad operation

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

Optional attributes for ResourceSparseApplyAdagrad

ResourceSparseApplyAdagradDa - Class in org.tensorflow.op.train

Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

resourceSparseApplyAdagradDa(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceSparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyAdagradDa operation

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

Optional attributes for ResourceSparseApplyAdagradDa

ResourceSparseApplyCenteredRmsProp - Class in org.tensorflow.op.train

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

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

Builds an ResourceSparseApplyCenteredRmsProp operation

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

Optional attributes for ResourceSparseApplyCenteredRmsProp

ResourceSparseApplyFtrl - Class in org.tensorflow.op.train

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

resourceSparseApplyFtrl(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

Builds an ResourceSparseApplyFtrl operation

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

Optional attributes for ResourceSparseApplyFtrl

ResourceSparseApplyKerasMomentum - Class in org.tensorflow.op.core

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

resourceSparseApplyKerasMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceSparseApplyKerasMomentum operation

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

Optional attributes for ResourceSparseApplyKerasMomentum

ResourceSparseApplyMomentum - Class in org.tensorflow.op.train

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

resourceSparseApplyMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyMomentum operation

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

Optional attributes for ResourceSparseApplyMomentum

ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.train

Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

resourceSparseApplyProximalAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyProximalAdagrad operation

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

Optional attributes for ResourceSparseApplyProximalAdagrad

ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.train

Sparse update '*var' as FOBOS algorithm with fixed learning rate.

resourceSparseApplyProximalGradientDescent(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyProximalGradientDescent operation

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

Optional attributes for ResourceSparseApplyProximalGradientDescent

ResourceSparseApplyRmsProp - Class in org.tensorflow.op.train

Update '*var' according to the RMSProp algorithm.

resourceSparseApplyRmsProp(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an ResourceSparseApplyRmsProp operation

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

Optional attributes for ResourceSparseApplyRmsProp

ResourceStridedSliceAssign - Class in org.tensorflow.op.core

Assign `value` to the sliced l-value reference of `ref`.

resourceStridedSliceAssign(Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceStridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops

Builds an ResourceStridedSliceAssign operation

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`.

response() - Method in class org.tensorflow.op.core.WorkerHeartbeat

A string tensor containing a serialized WorkerHeartbeatResponse

Restore - Class in org.tensorflow.op.train

Restores tensors from a V2 checkpoint.

restore(Operand<String>, Operand<String>, Operand<String>, List<Class<?>>) - Method in class org.tensorflow.op.TrainOps

Builds an Restore operation

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

Restores a tensor from checkpoint files.

restoreSlice(Operand<String>, Operand<String>, Operand<String>, Class<T>, RestoreSlice.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an RestoreSlice operation

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`.

RetrieveTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.core

Retrieve Adadelta embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingAdadeltaParameters

RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve Adadelta embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

RetrieveTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.core

Retrieve Adagrad embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingAdagradParameters

RetrieveTPUEmbeddingAdagradParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve Adagrad embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

RetrieveTPUEmbeddingADAMParameters - Class in org.tensorflow.op.core

Retrieve ADAM embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingADAMParameters

RetrieveTPUEmbeddingADAMParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve ADAM embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingADAMParametersGradAccumDebug

RetrieveTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.core

Retrieve centered RMSProp embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingCenteredRMSPropParameters

RetrieveTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.core

Retrieve FTRL embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingFTRLParameters

RetrieveTPUEmbeddingFTRLParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve FTRL embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

RetrieveTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.core

Retrieve MDL Adagrad Light embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingMDLAdagradLightParameters

RetrieveTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.core

Retrieve Momentum embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingMomentumParameters

RetrieveTPUEmbeddingMomentumParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve Momentum embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

RetrieveTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.core

Retrieve proximal Adagrad embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingProximalAdagradParameters

RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve proximal Adagrad embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

RetrieveTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.core

Retrieve RMSProp embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingRMSPropParameters

RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug - Class in org.tensorflow.op.core

Retrieve RMSProp embedding parameters with debug support.

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

Optional attributes for RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

RetrieveTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.core

Retrieve SGD embedding parameters.

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

Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters

Reverse<T> - Class in org.tensorflow.op.core

Reverses specific dimensions of a tensor.

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

Builds an Reverse operation

reverseIndexMap() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows

1-D.

ReverseSequence<T> - Class in org.tensorflow.op.core

Reverses variable length slices.

reverseSequence(Operand<T>, Operand<U>, Long, ReverseSequence.Options...) - Method in class org.tensorflow.op.Ops

Builds an ReverseSequence operation

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

Optional attributes for ReverseSequence

Rfft - Class in org.tensorflow.op.signal

Real-valued fast Fourier transform.

rfft(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Rfft operation

Rfft2d - Class in org.tensorflow.op.signal

2D real-valued fast Fourier transform.

rfft2d(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Rfft2d operation

Rfft3d - Class in org.tensorflow.op.signal

3D real-valued fast Fourier transform.

rfft3d(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.SignalOps

Builds an Rfft3d operation

RgbToHsv<T extends Number> - Class in org.tensorflow.op.image

Converts one or more images from RGB to HSV.

rgbToHsv(Operand<T>) - Method in class org.tensorflow.op.ImageOps

Builds an RgbToHsv operation

rightNodeContribs() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 2 tensors, with the same shape/conditions as left_node_contribs_list, but just that the value is for the right node.

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<T extends Number> - Class in org.tensorflow.op.bitwise

Elementwise computes the bitwise right-shift of `x` and `y`.

rightShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps

Builds an RightShift operation

Rint<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise integer closest to x.

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

Builds an Rint operation

RngSkip - Class in org.tensorflow.op.core

Advance the counter of a counter-based RNG.

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNV3

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<T> - Class in org.tensorflow.op.core

Rolls the elements of a tensor along an axis.

roll(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Builds an Roll operation

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

Rounds the values of a tensor to the nearest integer, element-wise.

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

Builds an Round operation

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.core.UnicodeDecode

A 1D int32 tensor containing the row splits.

rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets

A 1D int32 tensor containing the row splits.

Rpc - Class in org.tensorflow.op.core

Perform batches of RPC requests.

rpc(Operand<String>, Operand<String>, Operand<String>, Rpc.Options...) - Method in class org.tensorflow.op.Ops

Builds an Rpc operation

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

Optional attributes for Rpc

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

Computes reciprocal of square root of x element-wise.

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

Builds an Rsqrt operation

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 `flat_values` for the returned `RaggedTensor`.

rtNestedSplits() - Method in class org.tensorflow.op.core.RaggedRange

The `row_splits` for the returned `RaggedTensor`.

Run() - Constructor for class org.tensorflow.Session.Run

run() - Method in class org.tensorflow.Session.Runner

Execute the graph fragments necessary to compute all requested fetches.

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<T extends Number> - Class in org.tensorflow.op.image

Generate a single randomly distorted bounding box for an image.

sampleDistortedBoundingBox(Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps

Builds an SampleDistortedBoundingBox operation

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.

samples() - Method in class org.tensorflow.op.core.KmeansPlusPlusInitialization

Matrix of shape (num_to_sample, d).

SamplingDataset - Class in org.tensorflow.op.core

Creates a dataset that contains `rate` elements from the `input_dataset`.

sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProto.Options

sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProto

Save - Class in org.tensorflow.op.train

Saves tensors in V2 checkpoint format.

save(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps

Builds an Save operation

SavedModelBundle - Class in org.tensorflow

SavedModelBundle represents a model loaded from storage.

SavedModelBundle.Loader - Class in org.tensorflow

Options for loading a SavedModel.

SaveSlices - Class in org.tensorflow.op.train

Saves input tensors slices to disk.

saveSlices(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps

Builds an SaveSlices operation

scalar() - Static method in class org.tensorflow.Shape

Create a Shape representing a scalar value.

ScalarSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with scalar values.

scalarSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.SummaryOps

Builds an ScalarSummary operation

ScaleAndTranslate - Class in org.tensorflow.op.core

scaleAndTranslate(Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, ScaleAndTranslate.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScaleAndTranslate operation

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

Optional attributes for ScaleAndTranslate

ScaleAndTranslateGrad<T extends Number> - Class in org.tensorflow.op.core

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

Optional attributes for ScaleAndTranslateGrad

scaleBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGradV3

A 1D Tensor for the gradient with respect to scale.

scaleBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad

A 1D Tensor for the gradient with respect to scale.

ScatterAdd<T> - Class in org.tensorflow.op.core

Adds sparse updates to a variable reference.

scatterAdd(Operand<T>, Operand<U>, Operand<T>, ScatterAdd.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterAdd operation

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

Optional attributes for ScatterAdd

ScatterDiv<T> - Class in org.tensorflow.op.core

Divides a variable reference by sparse updates.

scatterDiv(Operand<T>, Operand<U>, Operand<T>, ScatterDiv.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterDiv operation

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

Optional attributes for ScatterDiv

ScatterMax<T extends Number> - Class in org.tensorflow.op.core

Reduces sparse updates into a variable reference using the `max` operation.

scatterMax(Operand<T>, Operand<U>, Operand<T>, ScatterMax.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterMax operation

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

Optional attributes for ScatterMax

ScatterMin<T extends Number> - Class in org.tensorflow.op.core

Reduces sparse updates into a variable reference using the `min` operation.

scatterMin(Operand<T>, Operand<U>, Operand<T>, ScatterMin.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterMin operation

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

Optional attributes for ScatterMin

ScatterMul<T> - Class in org.tensorflow.op.core

Multiplies sparse updates into a variable reference.

scatterMul(Operand<T>, Operand<U>, Operand<T>, ScatterMul.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterMul operation

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

Optional attributes for ScatterMul

ScatterNd<U> - Class in org.tensorflow.op.core

Scatter `updates` into a new tensor according to `indices`.

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

Builds an ScatterNd operation

ScatterNdAdd<T> - Class in org.tensorflow.op.core

Applies sparse addition to individual values or slices in a Variable.

scatterNdAdd(Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterNdAdd operation

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

Optional attributes for ScatterNdAdd

ScatterNdNonAliasingAdd<T> - Class in org.tensorflow.op.core

Applies sparse addition to `input` using individual values or slices

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

Builds an ScatterNdNonAliasingAdd operation

ScatterNdSub<T> - Class in org.tensorflow.op.core

Applies sparse subtraction to individual values or slices in a Variable.

scatterNdSub(Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterNdSub operation

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

Optional attributes for ScatterNdSub

ScatterNdUpdate<T> - Class in org.tensorflow.op.core

Applies sparse `updates` to individual values or slices within a given

scatterNdUpdate(Operand<T>, Operand<U>, Operand<T>, ScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterNdUpdate operation

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

Optional attributes for ScatterNdUpdate

ScatterSub<T> - Class in org.tensorflow.op.core

Subtracts sparse updates to a variable reference.

scatterSub(Operand<T>, Operand<U>, Operand<T>, ScatterSub.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterSub operation

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

Optional attributes for ScatterSub

ScatterUpdate<T> - Class in org.tensorflow.op.core

Applies sparse updates to a variable reference.

scatterUpdate(Operand<T>, Operand<U>, Operand<T>, ScatterUpdate.Options...) - Method in class org.tensorflow.op.Ops

Builds an ScatterUpdate operation

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(ExecutionEnvironment) - Constructor for class org.tensorflow.op.Scope

Create a new top-level scope.

SdcaFprint - Class in org.tensorflow.op.train

Computes fingerprints of the input strings.

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

Builds an SdcaFprint operation

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 - Class in org.tensorflow.op.train

Applies L1 regularization shrink step on the parameters.

sdcaShrinkL1(Iterable<Operand<Float>>, Float, Float) - Method in class org.tensorflow.op.TrainOps

Builds an SdcaShrinkL1 operation

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNV3

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.core.CudnnRNNBackpropV3.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNV3

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

Computes the maximum along segments of a tensor.

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

Builds an SegmentMax operation

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

Computes the mean along segments of a tensor.

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

Builds an SegmentMean operation

SegmentMin<T extends Number> - Class in org.tensorflow.op.math

Computes the minimum along segments of a tensor.

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

Builds an SegmentMin operation

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

Computes the product along segments of a tensor.

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

Builds an SegmentProd operation

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

Computes the sum along segments of a tensor.

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

Builds an SegmentSum operation

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`.

SelectV2<T> - Class in org.tensorflow.op.core

selectV2(Operand<Boolean>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an SelectV2 operation

SelfAdjointEig<T> - Class in org.tensorflow.op.linalg

Computes the eigen decomposition of one or more square self-adjoint matrices.

selfAdjointEig(Operand<T>, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an SelfAdjointEig operation

SelfAdjointEig.Options - Class in org.tensorflow.op.linalg

Optional attributes for SelfAdjointEig

Selu<T extends Number> - Class in org.tensorflow.op.nn

Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)`

selu(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Selu operation

SeluGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes gradients for the scaled exponential linear (Selu) operation.

SendTPUEmbeddingGradients - Class in org.tensorflow.op.core

Performs gradient updates of embedding tables.

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 - Class in org.tensorflow.op.data

Converts the given `resource_handle` representing an iterator to a variant tensor.

serializeIterator(Operand<?>) - Method in class org.tensorflow.op.DataOps

Builds an SerializeIterator operation

SerializeManySparse<U> - Class in org.tensorflow.op.io

Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object.

serializeManySparse(Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.IoOps

Builds an SerializeManySparse operation

serializeManySparse(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Builds an SerializeManySparse operation

SerializeSparse<U> - Class in org.tensorflow.op.io

Serialize a `SparseTensor` into a `[3]` `Tensor` object.

serializeSparse(Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.IoOps

Builds an SerializeSparse operation

serializeSparse(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.IoOps

Builds an SerializeSparse operation

SerializeTensor - Class in org.tensorflow.op.io

Transforms a Tensor into a serialized TensorProto proto.

serializeTensor(Operand<T>) - Method in class org.tensorflow.op.IoOps

Builds an SerializeTensor operation

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, String) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, byte[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, long) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, long[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, float) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, float[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, boolean) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, boolean[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, DataType) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, DataType[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, Tensor<?>) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, Tensor<?>[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, Shape) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, Shape[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, String[]) - Method in class org.tensorflow.GraphOperationBuilder

setAttr(String, String[]) - Method in interface org.tensorflow.OperationBuilder

Set the string values of an attribute of the operation being built.

setAttr(String, String) - Method in interface org.tensorflow.OperationBuilder

Set the string value of an attribute of the operation being built.

setAttr(String, byte[]) - Method in interface org.tensorflow.OperationBuilder

Set the byte values of an attribute of the operation being built.

setAttr(String, long) - Method in interface org.tensorflow.OperationBuilder

Set the long value of an attribute of the operation being built.

setAttr(String, long[]) - Method in interface org.tensorflow.OperationBuilder

Set the long values of an attribute of the operation being built.

setAttr(String, float) - Method in interface org.tensorflow.OperationBuilder

Set the float value of an attribute of the operation being built.

setAttr(String, float[]) - Method in interface org.tensorflow.OperationBuilder

Set the float values of an attribute of the operation being built.

setAttr(String, boolean) - Method in interface org.tensorflow.OperationBuilder

Set the boolean value of an attribute of the operation being built.

setAttr(String, boolean[]) - Method in interface org.tensorflow.OperationBuilder

Set the boolean values of an attribute of the operation being built.

setAttr(String, DataType) - Method in interface org.tensorflow.OperationBuilder

Set the type value of an attribute of the operation being built.

setAttr(String, DataType[]) - Method in interface org.tensorflow.OperationBuilder

Set the type values of an attribute of the operation being built.

setAttr(String, Tensor<?>) - Method in interface org.tensorflow.OperationBuilder

Set the tensor value of an attribute of the operation being built.

setAttr(String, Tensor<?>[]) - Method in interface org.tensorflow.OperationBuilder

Set the tensor values of an attribute of the operation being built.

setAttr(String, Shape) - Method in interface org.tensorflow.OperationBuilder

Set the shape value of an attribute of the operation being built.

setAttr(String, Shape[]) - Method in interface org.tensorflow.OperationBuilder

Set the shape values of an attribute of the operation being built.

setDevice(String) - Method in class org.tensorflow.GraphOperationBuilder

setDevice(String) - Method in interface org.tensorflow.OperationBuilder

Set the device requested for computing the operation being built.

SetDiag<T> - Class in org.tensorflow.op.linalg

Returns a batched matrix tensor with new batched diagonal values.

setDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an SetDiag operation

SetDiff1d<T,U extends Number> - Class in org.tensorflow.op.core

Computes the difference between two lists of numbers or strings.

setDiff1d(Operand<T>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an SetDiff1d operation

setDiff1d(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an SetDiff1d operation

setOptions(byte[]) - Method in class org.tensorflow.Session.Runner

(Experimental method): set options (typically for debugging) for this run.

SetSize - Class in org.tensorflow.op.core

Number of unique elements along last dimension of input `set`.

setSize(Operand<Long>, Operand<T>, Operand<Long>, SetSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an SetSize operation

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

Optional attributes for SetSize

shape(Shape) - Method in class org.tensorflow.op.core.InfeedEnqueue.Options

shape(Shape) - Static method in class org.tensorflow.op.core.InfeedEnqueue

shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options

shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder

shape(Shape) - Method in class org.tensorflow.op.core.Prelinearize.Options

shape(Shape) - Static method in class org.tensorflow.op.core.Prelinearize

Shape<U extends Number> - Class in org.tensorflow.op.core

Returns the shape of a tensor.

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

Builds an Shape operation

shape(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Shape operation

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 - Class in org.tensorflow

The possibly partially known shape of a tensor produced by an operation.

shape() - Method in class org.tensorflow.Tensor

Returns the shape of the Tensor, i.e., the sizes of each dimension.

ShapeN<U extends Number> - Class in org.tensorflow.op.core

Returns shape of tensors.

shapeN(Iterable<Operand<T>>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an ShapeN operation

shapeN(Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops

Builds an ShapeN operation

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

ShardDataset - Class in org.tensorflow.op.core

Creates a `Dataset` that includes only 1/`num_shards` of this dataset.

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

Optional attributes for ShardDataset

ShardedFilename - Class in org.tensorflow.op.io

Generate a sharded filename.

shardedFilename(Operand<String>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.IoOps

Builds an ShardedFilename operation

ShardedFilespec - Class in org.tensorflow.op.io

Generate a glob pattern matching all sharded file names.

shardedFilespec(Operand<String>, Operand<Integer>) - Method in class org.tensorflow.op.IoOps

Builds an ShardedFilespec operation

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.ExperimentalStatsAggregatorHandle.Options

sharedName(String) - Static method in class org.tensorflow.op.core.ExperimentalStatsAggregatorHandle

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.StatsAggregatorHandleV2.Options

sharedName(String) - Static method in class org.tensorflow.op.core.StatsAggregatorHandleV2

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.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

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate

ShuffleAndRepeatDataset - Class in org.tensorflow.op.data

Creates a dataset that shuffles and repeats elements from `input_dataset`

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

ShutdownDistributedTPU - Class in org.tensorflow.op.core

Shuts down a running distributed TPU system.

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

Computes sigmoid of `x` element-wise.

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

Builds an Sigmoid operation

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

Returns an element-wise indication of the sign of a number.

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

Builds an Sign operation

signal - Variable in class org.tensorflow.op.Ops

signal() - Method in class org.tensorflow.op.Ops

Returns an API for building signal operations

SignalOps - Class in org.tensorflow.op

An API for building signal operations as Ops

signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options

signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize

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

Computes sin of x element-wise.

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

Builds an Sin operation

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

Computes hyperbolic sine of x element-wise.

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

Builds an Sinh operation

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<U extends Number> - Class in org.tensorflow.op.core

Returns the size of a tensor.

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

Builds an Size operation

size(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Size operation

size(int) - Method in class org.tensorflow.Shape

The size of the i-th dimension.

sizes() - Method in class org.tensorflow.op.core.DecodeProto

Tensor of int32 with shape `[batch_shape, len(field_names)]`.

SkipDataset - Class in org.tensorflow.op.data

Creates a dataset that skips `count` elements from the `input_dataset`.

Skipgram - Class in org.tensorflow.op.core

Parses a text file and creates a batch of examples.

skipgram(String, Long, Skipgram.Options...) - Method in class org.tensorflow.op.Ops

Builds an Skipgram operation

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

slackPeriod(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options

slackPeriod(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset

Slice<T> - Class in org.tensorflow.op.core

Return a slice from 'input'.

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

Builds an Slice operation

sloppy(Boolean) - Method in class org.tensorflow.op.core.ExperimentalParseExampleDataset.Options

sloppy(Boolean) - Static method in class org.tensorflow.op.core.ExperimentalParseExampleDataset

Snapshot<T> - Class in org.tensorflow.op.core

Returns a copy of the input tensor.

snapshot(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Snapshot operation

SnapshotDataset - Class in org.tensorflow.op.core

Creates a dataset that will write to / read from a snapshot.

Softmax<T extends Number> - Class in org.tensorflow.op.nn

Computes softmax activations.

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

Same shape as `logits`.

softmax(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Softmax operation

SoftmaxCrossEntropyWithLogits<T extends Number> - Class in org.tensorflow.op.nn

Computes softmax cross entropy cost and gradients to backpropagate.

softmaxCrossEntropyWithLogits(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an SoftmaxCrossEntropyWithLogits operation

Softplus<T extends Number> - Class in org.tensorflow.op.math

Computes softplus: `log(exp(features) + 1)`.

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

Builds an Softplus operation

SoftplusGrad<T extends Number> - Class in org.tensorflow.op.math

Computes softplus gradients for a softplus operation.

Softsign<T extends Number> - Class in org.tensorflow.op.nn

Computes softsign: `features / (abs(features) + 1)`.

softsign(Operand<T>) - Method in class org.tensorflow.op.NnOps

Builds an Softsign operation

SoftsignGrad<T extends Number> - Class in org.tensorflow.op.nn

Computes softsign gradients for a softsign operation.

Solve<T> - Class in org.tensorflow.op.linalg

Solves systems of linear equations.

solve(Operand<T>, Operand<T>, Solve.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an Solve operation

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<T> - Class in org.tensorflow.op.nn

SpaceToBatch for 4-D tensors of type T.

spaceToBatch(Operand<T>, Operand<U>, Long) - Method in class org.tensorflow.op.NnOps

Builds an SpaceToBatch operation

SpaceToBatchNd<T> - Class in org.tensorflow.op.core

SpaceToBatch for N-D tensors of type T.

spaceToBatchNd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Builds an SpaceToBatchNd operation

SpaceToDepth<T> - Class in org.tensorflow.op.nn

SpaceToDepth for tensors of type T.

spaceToDepth(Operand<T>, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.NnOps

Builds an SpaceToDepth operation

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 building sparse operations

SparseAccumulatorApplyGradient - Class in org.tensorflow.op.sparse

Applies a sparse gradient to a given accumulator.

sparseAccumulatorApplyGradient(Operand<String>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Boolean) - Method in class org.tensorflow.op.SparseOps

Builds an SparseAccumulatorApplyGradient operation

SparseAccumulatorTakeGradient<T> - Class in org.tensorflow.op.sparse

Extracts the average sparse gradient in a SparseConditionalAccumulator.

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

Builds an SparseAccumulatorTakeGradient operation

SparseAdd<T> - Class in org.tensorflow.op.sparse

Adds two `SparseTensor` objects to produce another `SparseTensor`.

sparseAdd(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Operand<U>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseAdd operation

SparseAddGrad<T> - Class in org.tensorflow.op.sparse

The gradient operator for the SparseAdd op.

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

Builds an SparseAddGrad operation

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

var: Should be from a Variable().

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

Builds an SparseApplyAdadelta operation

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

Optional attributes for SparseApplyAdadelta

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

Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

sparseApplyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an SparseApplyAdagrad operation

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

Optional attributes for SparseApplyAdagrad

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

Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

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

Builds an SparseApplyAdagradDa operation

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

Optional attributes for SparseApplyAdagradDa

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

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

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

Builds an SparseApplyCenteredRmsProp operation

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

Optional attributes for SparseApplyCenteredRmsProp

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

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

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

Builds an SparseApplyFtrl operation

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

Optional attributes for SparseApplyFtrl

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

Update relevant entries in '*var' and '*accum' according to the momentum scheme.

sparseApplyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, SparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an SparseApplyMomentum operation

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

Optional attributes for SparseApplyMomentum

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

Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

sparseApplyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an SparseApplyProximalAdagrad operation

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

Optional attributes for SparseApplyProximalAdagrad

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

Sparse update '*var' as FOBOS algorithm with fixed learning rate.

sparseApplyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps

Builds an SparseApplyProximalGradientDescent operation

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

Optional attributes for SparseApplyProximalGradientDescent

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

Update '*var' according to the RMSProp algorithm.

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

Builds an SparseApplyRmsProp operation

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

Optional attributes for SparseApplyRmsProp

SparseConcat<T> - Class in org.tensorflow.op.sparse

Concatenates a list of `SparseTensor` along the specified dimension.

sparseConcat(Iterable<Operand<Long>>, Iterable<Operand<T>>, Iterable<Operand<Long>>, Long) - Method in class org.tensorflow.op.SparseOps

Builds an SparseConcat operation

SparseConditionalAccumulator - Class in org.tensorflow.op.sparse

A conditional accumulator for aggregating sparse gradients.

sparseConditionalAccumulator(Class<T>, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseConditionalAccumulator operation

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

Optional attributes for SparseConditionalAccumulator

SparseCross<T> - Class in org.tensorflow.op.sparse

Generates sparse cross from a list of sparse and dense tensors.

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

Builds an SparseCross operation

SparseDenseCwiseAdd<T> - Class in org.tensorflow.op.sparse

Adds up a SparseTensor and a dense Tensor, using these special rules:

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

Builds an SparseDenseCwiseAdd operation

SparseDenseCwiseDiv<T> - Class in org.tensorflow.op.sparse

Component-wise divides a SparseTensor by a dense Tensor.

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

Builds an SparseDenseCwiseDiv operation

SparseDenseCwiseMul<T> - Class in org.tensorflow.op.sparse

Component-wise multiplies a SparseTensor by a dense Tensor.

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

Builds an SparseDenseCwiseMul operation

sparseDenseShape() - Method in class org.tensorflow.op.core.RaggedTensorToSparse

`sparse_dense_shape` is a tight bounding box of the input `RaggedTensor`.

SparseFillEmptyRows<T> - Class in org.tensorflow.op.sparse

Fills empty rows in the input 2-D `SparseTensor` with a default value.

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

Builds an SparseFillEmptyRows operation

SparseFillEmptyRowsGrad<T> - Class in org.tensorflow.op.sparse

The gradient of SparseFillEmptyRows.

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

Builds an SparseFillEmptyRowsGrad operation

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 - Class in org.tensorflow.op.sparse

Multiply matrix "a" by matrix "b".

sparseMatMul(Operand<T>, Operand<U>, SparseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseMatMul operation

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

Optional attributes for SparseMatMul

SparseOps - Class in org.tensorflow.op

An API for building sparse operations as Ops

SparseReduceMax<T extends Number> - Class in org.tensorflow.op.sparse

Computes the max of elements across dimensions of a SparseTensor.

sparseReduceMax(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMax.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseReduceMax operation

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

Optional attributes for SparseReduceMax

SparseReduceMaxSparse<T extends Number> - Class in org.tensorflow.op.sparse

Computes the max of elements across dimensions of a SparseTensor.

sparseReduceMaxSparse(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMaxSparse.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseReduceMaxSparse operation

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

Optional attributes for SparseReduceMaxSparse

SparseReduceSum<T> - Class in org.tensorflow.op.sparse

Computes the sum of elements across dimensions of a SparseTensor.

sparseReduceSum(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSum.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseReduceSum operation

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

Optional attributes for SparseReduceSum

SparseReduceSumSparse<T> - Class in org.tensorflow.op.sparse

Computes the sum of elements across dimensions of a SparseTensor.

sparseReduceSumSparse(Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSumSparse.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseReduceSumSparse operation

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

Optional attributes for SparseReduceSumSparse

SparseReorder<T> - Class in org.tensorflow.op.sparse

Reorders a SparseTensor into the canonical, row-major ordering.

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

Builds an SparseReorder operation

SparseReshape - Class in org.tensorflow.op.sparse

Reshapes a SparseTensor to represent values in a new dense shape.

sparseReshape(Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseReshape operation

SparseSegmentMean<T extends Number> - Class in org.tensorflow.op.sparse

Computes the mean along sparse segments of a tensor.

sparseSegmentMean(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentMean operation

SparseSegmentMeanGrad<T extends Number> - Class in org.tensorflow.op.sparse

Computes gradients for SparseSegmentMean.

sparseSegmentMeanGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentMeanGrad operation

SparseSegmentMeanWithNumSegments<T extends Number> - Class in org.tensorflow.op.sparse

Computes the mean along sparse segments of a tensor.

sparseSegmentMeanWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentMeanWithNumSegments operation

SparseSegmentSqrtN<T extends Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

sparseSegmentSqrtN(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentSqrtN operation

SparseSegmentSqrtNGrad<T extends Number> - Class in org.tensorflow.op.sparse

Computes gradients for SparseSegmentSqrtN.

sparseSegmentSqrtNGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentSqrtNGrad operation

SparseSegmentSqrtNWithNumSegments<T extends Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

sparseSegmentSqrtNWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentSqrtNWithNumSegments operation

SparseSegmentSum<T extends Number> - Class in org.tensorflow.op.sparse

Computes the sum along sparse segments of a tensor.

sparseSegmentSum(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.SparseOps

Builds an SparseSegmentSum operation

SparseSegmentSumWithNumSegments<T extends 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

Builds an SparseSegmentSumWithNumSegments operation

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<T> - Class in org.tensorflow.op.sparse

Slice a `SparseTensor` based on the `start` and `size`.

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

Builds an SparseSlice operation

SparseSliceGrad<T> - Class in org.tensorflow.op.sparse

The gradient operator for the SparseSlice op.

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

Builds an SparseSliceGrad operation

SparseSoftmax<T extends Number> - Class in org.tensorflow.op.sparse

Applies softmax to a batched N-D `SparseTensor`.

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

Builds an SparseSoftmax operation

SparseSoftmaxCrossEntropyWithLogits<T extends Number> - Class in org.tensorflow.op.nn

Computes softmax cross entropy cost and gradients to backpropagate.

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

Builds an SparseSoftmaxCrossEntropyWithLogits operation

SparseSparseMaximum<T extends Number> - Class in org.tensorflow.op.sparse

Returns the element-wise max of two SparseTensors.

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

Builds an SparseSparseMaximum operation

SparseSparseMinimum<T> - Class in org.tensorflow.op.sparse

Returns the element-wise min of two SparseTensors.

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

Builds an SparseSparseMinimum operation

SparseSplit<T> - Class in org.tensorflow.op.sparse

Split a `SparseTensor` into `num_split` tensors along one dimension.

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

Builds an SparseSplit operation

SparseTensorDenseAdd<U> - Class in org.tensorflow.op.sparse

Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`.

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

Builds an SparseTensorDenseAdd operation

SparseTensorDenseMatMul<U> - Class in org.tensorflow.op.sparse

Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

sparseTensorDenseMatMul(Operand<T>, Operand<U>, Operand<Long>, Operand<U>, SparseTensorDenseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseTensorDenseMatMul operation

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

Optional attributes for SparseTensorDenseMatMul

SparseTensorSliceDataset - Class in org.tensorflow.op.data

Creates a dataset that splits a SparseTensor into elements row-wise.

SparseToDense<U> - Class in org.tensorflow.op.sparse

Converts a sparse representation into a dense tensor.

sparseToDense(Operand<T>, Operand<T>, Operand<U>, Operand<U>, SparseToDense.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseToDense operation

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

Optional attributes for SparseToDense

SparseToSparseSetOperation<T> - Class in org.tensorflow.op.sparse

Applies set operation along last dimension of 2 `SparseTensor` inputs.

sparseToSparseSetOperation(Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, String, SparseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an SparseToSparseSetOperation operation

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<T> - Class in org.tensorflow.op.core

Splits a tensor into `num_split` tensors along one dimension.

split(Operand<Integer>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Builds an Split operation

splitType(String) - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit.Options

splitType(String) - Static method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

SplitV<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

Builds an SplitV operation

splitWithDefaultDirections() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 1 tensors indicating the which direction to go if data is missing.

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

Computes square root of x element-wise.

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

Builds an Sqrt operation

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

Computes the gradient for the sqrt of `x` wrt its input.

Sqrtm<T> - Class in org.tensorflow.op.linalg

Computes the matrix square root of one or more square matrices:

sqrtm(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an Sqrtm operation

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

Computes square of x element-wise.

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

Builds an Square operation

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

Returns (x - y)(x - y) element-wise.

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

Builds an SquaredDifference operation

Squeeze<T> - Class in org.tensorflow.op.core

Removes dimensions of size 1 from the shape of a tensor.

squeeze(Operand<T>, Squeeze.Options...) - Method in class org.tensorflow.op.Ops

Builds an Squeeze operation

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<T> - Class in org.tensorflow.op.core

Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

stack(Iterable<Operand<T>>, Stack.Options...) - Method in class org.tensorflow.op.Ops

Builds an Stack operation

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

Optional attributes for Stack

Stage - Class in org.tensorflow.op.core

Stage values similar to a lightweight Enqueue.

stage(Iterable<Operand<?>>, Stage.Options...) - Method in class org.tensorflow.op.Ops

Builds an Stage operation

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

Optional attributes for Stage

StageClear - Class in org.tensorflow.op.core

Op removes all elements in the underlying container.

stageClear(List<Class<?>>, StageClear.Options...) - Method in class org.tensorflow.op.Ops

Builds an StageClear operation

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

Optional attributes for StageClear

StagePeek - Class in org.tensorflow.op.core

Op peeks at the values at the specified index.

stagePeek(Operand<Integer>, List<Class<?>>, StagePeek.Options...) - Method in class org.tensorflow.op.Ops

Builds an StagePeek operation

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

Optional attributes for StagePeek

StageSize - Class in org.tensorflow.op.core

Op returns the number of elements in the underlying container.

stageSize(List<Class<?>>, StageSize.Options...) - Method in class org.tensorflow.op.Ops

Builds an StageSize operation

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

StatefulRandomBinomial<V extends Number> - Class in org.tensorflow.op.core

statefulRandomBinomial(Operand<?>, Operand<Long>, Operand<T>, Operand<U>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Builds an StatefulRandomBinomial operation

statefulRandomBinomial(Operand<?>, Operand<Long>, Operand<T>, Operand<U>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an StatefulRandomBinomial operation

StatefulStandardNormal<U> - Class in org.tensorflow.op.core

Outputs random values from a normal distribution.

statefulStandardNormal(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an StatefulStandardNormal operation

statefulStandardNormal(Operand<?>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an StatefulStandardNormal operation

StatefulStandardNormalV2<U> - Class in org.tensorflow.op.core

Outputs random values from a normal distribution.

statefulStandardNormalV2(Operand<?>, Operand<Long>, Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an StatefulStandardNormalV2 operation

statefulStandardNormalV2(Operand<?>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an StatefulStandardNormalV2 operation

StatefulTruncatedNormal<U> - Class in org.tensorflow.op.core

Outputs random values from a truncated normal distribution.

StatefulUniform<U> - Class in org.tensorflow.op.core

Outputs random values from a uniform distribution.

StatefulUniformFullInt<U> - Class in org.tensorflow.op.core

Outputs random integers from a uniform distribution.

StatefulUniformInt<U> - Class in org.tensorflow.op.core

Outputs random integers from a uniform distribution.

StatelessMultinomial<V extends Number> - Class in org.tensorflow.op.random

Draws samples from a multinomial distribution.

statelessMultinomial(Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.RandomOps

Builds an StatelessMultinomial operation

statelessMultinomial(Operand<T>, Operand<Integer>, Operand<U>) - Method in class org.tensorflow.op.RandomOps

Builds an StatelessMultinomial operation

StatelessRandomNormal<V extends Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom values from a normal distribution.

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

Builds an StatelessRandomNormal operation

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

Builds an StatelessRandomNormal operation

StatelessRandomUniform<V extends Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom random values from a uniform distribution.

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

Builds an StatelessRandomUniform operation

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

Builds an StatelessRandomUniform operation

StatelessRandomUniformInt<V extends Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom random integers from a uniform distribution.

StatelessTruncatedNormal<V extends Number> - Class in org.tensorflow.op.random

Outputs deterministic pseudorandom values from a truncated normal distribution.

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

Builds an StatelessTruncatedNormal operation

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

Builds an StatelessTruncatedNormal operation

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

StatsAggregatorHandleV2 - Class in org.tensorflow.op.core

StatsAggregatorHandleV2.Options - Class in org.tensorflow.op.core

Optional attributes for StatsAggregatorHandleV2

StatsAggregatorSetSummaryWriter - Class in org.tensorflow.op.core

Set a summary_writer_interface to record statistics using given stats_aggregator.

statsSummary() - Method in class org.tensorflow.op.core.BoostedTreesAggregateStats

output Rank 4 Tensor (shape=[splits, feature_dimension, buckets, logits_dimension + hessian_dimension]) containing accumulated stats for each node, feature dimension and bucket.

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`.

stepMarkerLocation(String) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

stepMarkerLocation(String) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

stop() - Method in class org.tensorflow.Server

Stops an in-process TensorFlow server.

StopGradient<T> - Class in org.tensorflow.op.core

Stops gradient computation.

stopGradient(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an StopGradient operation

StridedSlice<T> - Class in org.tensorflow.op.core

Return a strided slice from `input`.

stridedSlice(Operand<T>, Operand<U>, Operand<U>, Operand<U>, StridedSlice.Options...) - Method in class org.tensorflow.op.Ops

Builds an StridedSlice operation

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

Optional attributes for StridedSlice

StridedSliceAssign<T> - Class in org.tensorflow.op.core

Assign `value` to the sliced l-value reference of `ref`.

stridedSliceAssign(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, StridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops

Builds an StridedSliceAssign operation

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

Optional attributes for StridedSliceAssign

StridedSliceGrad<U> - Class in org.tensorflow.op.core

Returns the gradient of `StridedSlice`.

stridedSliceGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, StridedSliceGrad.Options...) - Method in class org.tensorflow.op.Ops

Builds an StridedSliceGrad operation

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

Optional attributes for StridedSliceGrad

StringFormat - Class in org.tensorflow.op.strings

Formats a string template using a list of tensors.

stringFormat(Iterable<Operand<?>>, StringFormat.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an StringFormat operation

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 - Class in org.tensorflow.op.strings

String lengths of `input`.

stringLength(Operand<String>, StringLength.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an StringLength operation

StringLength.Options - Class in org.tensorflow.op.strings

Optional attributes for StringLength

StringLower - Class in org.tensorflow.op.core

stringLower(Operand<String>, StringLower.Options...) - Method in class org.tensorflow.op.Ops

Builds an StringLower operation

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

Optional attributes for StringLower

strings - Variable in class org.tensorflow.op.Ops

strings() - Method in class org.tensorflow.op.Ops

Returns an API for building strings operations

StringsOps - Class in org.tensorflow.op

An API for building strings operations as Ops

StringSplit - Class in org.tensorflow.op.strings

Split elements of `source` based on `sep` into a `SparseTensor`.

stringSplit(Operand<String>, Operand<String>, StringSplit.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an StringSplit operation

StringSplit.Options - Class in org.tensorflow.op.strings

Optional attributes for StringSplit

StringUpper - Class in org.tensorflow.op.core

stringUpper(Operand<String>, StringUpper.Options...) - Method in class org.tensorflow.op.Ops

Builds an StringUpper operation

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

Optional attributes for StringUpper

Strip - Class in org.tensorflow.op.strings

Strip leading and trailing whitespaces from the Tensor.

strip(Operand<String>) - Method in class org.tensorflow.op.StringsOps

Builds an Strip operation

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

Returns x - y element-wise.

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

Builds an Sub operation

subsample(Float) - Method in class org.tensorflow.op.core.Skipgram.Options

subsample(Float) - Static method in class org.tensorflow.op.core.Skipgram

Substr - Class in org.tensorflow.op.strings

Return substrings from `Tensor` of strings.

substr(Operand<String>, Operand<T>, Operand<T>, Substr.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an Substr operation

Substr.Options - Class in org.tensorflow.op.strings

Optional attributes for Substr

Sum<T> - Class in org.tensorflow.op.core

Computes the sum of elements across dimensions of a tensor.

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

Builds an Sum operation

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() - Method in class org.tensorflow.op.core.ExperimentalStatsAggregatorSummary

summary - Variable in class org.tensorflow.op.Ops

summary() - Method in class org.tensorflow.op.Ops

Returns an API for building summary operations

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.TensorSummary

SummaryOps - Class in org.tensorflow.op

An API for building summary operations as Ops

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<T> - Class in org.tensorflow.op.linalg

Computes the singular value decompositions of one or more matrices.

svd(Operand<T>, Svd.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an Svd operation

Svd.Options - Class in org.tensorflow.op.linalg

Optional attributes for Svd

SwitchCond<T> - Class in org.tensorflow.op.core

Forwards `data` to the output port determined by `pred`.

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

Builds an SwitchCond operation

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.

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingCenteredRMSPropParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingCenteredRMSPropParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMDLAdagradLightParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMDLAdagradLightParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParameters

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingStochasticGradientDescentParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingStochasticGradientDescentParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

tableId(Long) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options

tableId(Long) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingAdagradParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingADAMParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingCenteredRMSPropParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingCenteredRMSPropParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingFTRLParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMDLAdagradLightParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMDLAdagradLightParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingMomentumParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParameters

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingRMSPropParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.LoadTPUEmbeddingStochasticGradientDescentParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.LoadTPUEmbeddingStochasticGradientDescentParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingCenteredRMSPropParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParameters

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug

tableName(String) - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options

tableName(String) - Static method in class org.tensorflow.op.core.RetrieveTPUEmbeddingStochasticGradientDescentParameters

TakeDataset - Class in org.tensorflow.op.data

Creates a dataset that contains `count` elements from the `input_dataset`.

TakeManySparseFromTensorsMap<T> - Class in org.tensorflow.op.sparse

Read `SparseTensors` from a `SparseTensorsMap` and concatenate them.

takeManySparseFromTensorsMap(Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps

Builds an TakeManySparseFromTensorsMap operation

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

Optional attributes for TakeManySparseFromTensorsMap

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

Computes tan of x element-wise.

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

Builds an Tan operation

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

Computes hyperbolic tangent of `x` element-wise.

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

Builds an Tanh operation

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<T> - Class in org.tensorflow.op.core

Returns a tensor that may be mutated, but only persists within a single step.

temporaryVariable(Shape, Class<T>, TemporaryVariable.Options...) - Method in class org.tensorflow.op.Ops

Builds an TemporaryVariable operation

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.TensorListConcat

tensor() - Method in class org.tensorflow.op.core.TensorListConcatV2

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() - Method in class org.tensorflow.Output

Returns the tensor at this output.

Tensor<T> - Class in org.tensorflow

A statically typed multi-dimensional array whose elements are of a type described by T.

TensorArray - Class in org.tensorflow.op.core

An array of Tensors of given size.

tensorArray(Operand<Integer>, Class<T>, TensorArray.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorArray operation

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

Optional attributes for TensorArray

TensorArrayClose - Class in org.tensorflow.op.core

Delete the TensorArray from its resource container.

tensorArrayClose(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayClose operation

TensorArrayConcat<T> - Class in org.tensorflow.op.core

Concat the elements from the TensorArray into value `value`.

tensorArrayConcat(Operand<?>, Operand<Float>, Class<T>, TensorArrayConcat.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayConcat operation

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

Optional attributes for TensorArrayConcat

TensorArrayGather<T> - Class in org.tensorflow.op.core

Gather specific elements from the TensorArray into output `value`.

tensorArrayGather(Operand<?>, Operand<Integer>, Operand<Float>, Class<T>, TensorArrayGather.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayGather operation

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

Optional attributes for TensorArrayGather

TensorArrayGrad - Class in org.tensorflow.op.core

Creates a TensorArray for storing the gradients of values in the given handle.

tensorArrayGrad(Operand<?>, Operand<Float>, String) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayGrad operation

TensorArrayGradWithShape - Class in org.tensorflow.op.core

Creates a TensorArray for storing multiple gradients of values in the given handle.

tensorArrayGradWithShape(Operand<?>, Operand<Float>, Operand<Integer>, String) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayGradWithShape operation

tensorArrayName(String) - Method in class org.tensorflow.op.core.TensorArray.Options

tensorArrayName(String) - Static method in class org.tensorflow.op.core.TensorArray

TensorArrayPack<T> - Class in org.tensorflow.op.core

tensorArrayPack(Operand<String>, Operand<Float>, Class<T>, TensorArrayPack.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayPack operation

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

Optional attributes for TensorArrayPack

TensorArrayRead<T> - Class in org.tensorflow.op.core

Read an element from the TensorArray into output `value`.

tensorArrayRead(Operand<?>, Operand<Integer>, Operand<Float>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayRead operation

TensorArrayScatter - Class in org.tensorflow.op.core

Scatter the data from the input value into specific TensorArray elements.

tensorArrayScatter(Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayScatter operation

TensorArraySize - Class in org.tensorflow.op.core

Get the current size of the TensorArray.

tensorArraySize(Operand<?>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an TensorArraySize operation

TensorArraySplit - Class in org.tensorflow.op.core

Split the data from the input value into TensorArray elements.

tensorArraySplit(Operand<?>, Operand<T>, Operand<Long>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an TensorArraySplit operation

TensorArrayUnpack - Class in org.tensorflow.op.core

tensorArrayUnpack(Operand<String>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayUnpack operation

TensorArrayWrite - Class in org.tensorflow.op.core

Push an element onto the tensor_array.

tensorArrayWrite(Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Builds an TensorArrayWrite operation

TensorDataset - Class in org.tensorflow.op.data

Creates a dataset that emits `components` as a tuple of tensors once.

TensorDiag<T> - Class in org.tensorflow.op.linalg

Returns a diagonal tensor with a given diagonal values.

tensorDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an TensorDiag operation

TensorDiagPart<T> - Class in org.tensorflow.op.linalg

Returns the diagonal part of the tensor.

tensorDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps

Builds an TensorDiagPart operation

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

TensorListConcat<T> - Class in org.tensorflow.op.core

Concats all tensors in the list along the 0th dimension.

tensorListConcat(Operand<?>, Class<T>, TensorListConcat.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorListConcat operation

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

Optional attributes for TensorListConcat

TensorListConcatLists - Class in org.tensorflow.op.core

tensorListConcatLists(Operand<?>, Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListConcatLists operation

TensorListConcatV2<U> - Class in org.tensorflow.op.core

Concats all tensors in the list along the 0th dimension.

tensorListConcatV2(Operand<?>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an TensorListConcatV2 operation

TensorListElementShape<T extends Number> - Class in org.tensorflow.op.core

The shape of the elements of the given list, as a tensor.

tensorListElementShape(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListElementShape operation

TensorListFromTensor - Class in org.tensorflow.op.core

Creates a TensorList which, when stacked, has the value of `tensor`.

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

Builds an TensorListFromTensor operation

TensorListGather<T> - Class in org.tensorflow.op.core

Creates a Tensor by indexing into the TensorList.

tensorListGather(Operand<?>, Operand<Integer>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListGather operation

TensorListGetItem<T> - Class in org.tensorflow.op.core

tensorListGetItem(Operand<?>, Operand<Integer>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListGetItem operation

TensorListLength - Class in org.tensorflow.op.core

Returns the number of tensors in the input tensor list.

tensorListLength(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an TensorListLength operation

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.

tensorListPopBack(Operand<?>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListPopBack operation

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`.

tensorListPushBack(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListPushBack operation

TensorListPushBackBatch - Class in org.tensorflow.op.core

tensorListPushBackBatch(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListPushBackBatch operation

TensorListReserve - Class in org.tensorflow.op.core

List of the given size with empty elements.

tensorListReserve(Operand<T>, Operand<Integer>, Class<U>) - Method in class org.tensorflow.op.Ops

Builds an TensorListReserve operation

TensorListResize - Class in org.tensorflow.op.core

Resizes the list.

tensorListResize(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Builds an TensorListResize operation

TensorListScatter - Class in org.tensorflow.op.core

Creates a TensorList by indexing into a Tensor.

tensorListScatter(Operand<T>, Operand<Integer>, Operand<U>) - Method in class org.tensorflow.op.Ops

Builds an TensorListScatter operation

TensorListScatterIntoExistingList - Class in org.tensorflow.op.core

Scatters tensor at indices in an input list.

tensorListScatterIntoExistingList(Operand<?>, Operand<T>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Builds an TensorListScatterIntoExistingList operation

TensorListScatterV2 - Class in org.tensorflow.op.core

Creates a TensorList by indexing into a Tensor.

tensorListScatterV2(Operand<T>, Operand<Integer>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Builds an TensorListScatterV2 operation

TensorListSetItem - Class in org.tensorflow.op.core

tensorListSetItem(Operand<?>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an TensorListSetItem operation

TensorListSplit - Class in org.tensorflow.op.core

Splits a tensor into a list.

tensorListSplit(Operand<T>, Operand<U>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Builds an TensorListSplit operation

TensorListStack<T> - Class in org.tensorflow.op.core

Stacks all tensors in the list.

tensorListStack(Operand<?>, Operand<Integer>, Class<T>, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorListStack operation

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.

TensorScatterAdd<T> - Class in org.tensorflow.op.core

Adds sparse `updates` to an existing tensor according to `indices`.

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

Builds an TensorScatterAdd operation

TensorScatterSub<T> - Class in org.tensorflow.op.core

Subtracts sparse `updates` from an existing tensor according to `indices`.

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

Builds an TensorScatterSub operation

TensorScatterUpdate<T> - Class in org.tensorflow.op.core

Scatter `updates` into an existing tensor according to `indices`.

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

Builds an TensorScatterUpdate operation

TensorSliceDataset - Class in org.tensorflow.op.data

Creates a dataset that emits each dim-0 slice of `components` once.

TensorStridedSliceUpdate<T> - Class in org.tensorflow.op.core

Assign `value` to the sliced l-value reference of `input`.

tensorStridedSliceUpdate(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, TensorStridedSliceUpdate.Options...) - Method in class org.tensorflow.op.Ops

Builds an TensorStridedSliceUpdate operation

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

Optional attributes for TensorStridedSliceUpdate

TensorSummary - Class in org.tensorflow.op.summary

Outputs a `Summary` protocol buffer with a tensor and per-plugin data.

tensorSummary(Operand<String>, Operand<T>, Operand<String>) - Method in class org.tensorflow.op.SummaryOps

Builds an TensorSummary operation

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 - Class in org.tensorflow.op.data

Creates a dataset that emits the lines of one or more text files.

TextLineReader - Class in org.tensorflow.op.io

A Reader that outputs the lines of a file delimited by '\n'.

textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an TextLineReader operation

TextLineReader.Options - Class in org.tensorflow.op.io

Optional attributes for TextLineReader

TfRecordDataset - Class in org.tensorflow.op.data

Creates a dataset that emits the records from one or more TFRecord files.

TfRecordReader - Class in org.tensorflow.op.io

A Reader that outputs the records from a TensorFlow Records file.

tfRecordReader(TfRecordReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an TfRecordReader operation

TfRecordReader.Options - Class in org.tensorflow.op.io

Optional attributes for TfRecordReader

thresholds() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestFeatureSplit

A Rank 1 tensors indicating the bucket id to compare with (as a threshold) for split in each node.

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<T> - Class in org.tensorflow.op.core

Constructs a tensor by tiling a given tensor.

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

Builds an Tile operation

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

Returns the gradient of `Tile`.

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

Builds an TileGrad operation

timeMajor(Boolean) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV3.Options

timeMajor(Boolean) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV3

timeMajor(Boolean) - Method in class org.tensorflow.op.core.CudnnRNNV3.Options

timeMajor(Boolean) - Static method in class org.tensorflow.op.core.CudnnRNNV3

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 - Class in org.tensorflow.op.core

Provides the time since epoch in seconds.

timestamp() - Method in class org.tensorflow.op.Ops

Builds an Timestamp operation

toGraphDef() - Method in class org.tensorflow.Graph

Generate a serialized representation of the Graph.

ToHashBucket - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to its hash mod by a number of buckets.

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

Builds an ToHashBucket operation

ToHashBucketFast - 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

Builds an ToHashBucketFast operation

ToHashBucketStrong - 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

Builds an ToHashBucketStrong operation

tolerance(Float) - Method in class org.tensorflow.op.math.ApproximateEqual.Options

tolerance(Float) - Static method in class org.tensorflow.op.math.ApproximateEqual

ToNumber<T extends Number> - Class in org.tensorflow.op.strings

Converts each string in the input Tensor to the specified numeric type.

toNumber(Operand<String>, Class<T>) - Method in class org.tensorflow.op.StringsOps

Builds an ToNumber operation

toNumber(Operand<String>) - Method in class org.tensorflow.op.StringsOps

Builds an ToNumber operation

TopK<T extends Number> - Class in org.tensorflow.op.nn

Finds values and indices of the `k` largest elements for the last dimension.

topK(Operand<T>, Operand<Integer>, TopK.Options...) - Method in class org.tensorflow.op.NnOps

Builds an TopK operation

TopK.Options - Class in org.tensorflow.op.nn

Optional attributes for TopK

topology() - Method in class org.tensorflow.op.core.ConfigureDistributedTPU

A serialized tensorflow.tpu.TopologyProto that describes the TPU topology.

topology(String) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

topology(String) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

toString() - Method in class org.tensorflow.op.PrimitiveOp

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.

TPUCompilationResult - Class in org.tensorflow.op.core

CompilationResultProto indicating the status of the TPU compilation.

TPUEmbeddingActivations - Class in org.tensorflow.op.core

An op enabling differentiation of TPU Embeddings.

tpuEmbeddingConfig(String) - Method in class org.tensorflow.op.core.ConfigureDistributedTPU.Options

tpuEmbeddingConfig(String) - Static method in class org.tensorflow.op.core.ConfigureDistributedTPU

TPUOrdinalSelector - Class in org.tensorflow.op.core

A TPU core selector Op.

TPUReplicatedInput<T> - Class in org.tensorflow.op.core

Connects N inputs to an N-way replicated TPU computation.

TPUReplicatedOutput<T> - Class in org.tensorflow.op.core

Connects outputs of an N-way replicated computation to N outputs.

TPUReplicateMetadata - Class in org.tensorflow.op.core

Metadata indicaitng how the TPU computation should be replicated.

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

Optional attributes for TPUReplicateMetadata

train - Variable in class org.tensorflow.op.Ops

train() - Method in class org.tensorflow.op.Ops

Returns an API for building train operations

TrainOps - Class in org.tensorflow.op

An API for building train operations as Ops

Transpose<T> - Class in org.tensorflow.op.linalg

Shuffle dimensions of x according to a permutation.

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

Builds an Transpose operation

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<T> - Class in org.tensorflow.op.linalg

Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.

triangularSolve(Operand<T>, Operand<T>, TriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps

Builds an TriangularSolve operation

TriangularSolve.Options - Class in org.tensorflow.op.linalg

Optional attributes for TriangularSolve

TridiagonalMatMul<T> - Class in org.tensorflow.op.core

Calculate product with tridiagonal matrix.

TridiagonalSolve<T> - Class in org.tensorflow.op.core

Solves tridiagonal systems of equations.

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

Optional attributes for TridiagonalSolve

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

Returns x / y element-wise for integer types.

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

Builds an TruncateDiv operation

TruncatedNormal<U extends Number> - Class in org.tensorflow.op.random

Outputs random values from a truncated normal distribution.

truncatedNormal(Operand<T>, Class<U>, TruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps

Builds an TruncatedNormal operation

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

Optional attributes for TruncatedNormal

TruncateMod<T extends Number> - Class in org.tensorflow.op.math

Returns element-wise remainder of division.

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

Builds an TruncateMod operation

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 - Class in org.tensorflow.op.core

Perform batches of RPC requests.

tryRpc(Operand<String>, Operand<String>, Operand<String>, TryRpc.Options...) - Method in class org.tensorflow.op.Ops

Builds an TryRpc operation

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.GraphOperation

type() - Method in interface 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.

Unbatch<T> - Class in org.tensorflow.op.core

Reverses the operation of Batch for a single output Tensor.

unbatch(Operand<T>, Operand<Long>, Operand<Long>, Long, Unbatch.Options...) - Method in class org.tensorflow.op.Ops

Builds an Unbatch operation

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

Optional attributes for Unbatch

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

UnbatchGrad<T> - Class in org.tensorflow.op.core

Gradient of Unbatch.

unbatchGrad(Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, UnbatchGrad.Options...) - Method in class org.tensorflow.op.Ops

Builds an UnbatchGrad operation

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

Optional attributes for UnbatchGrad

UnicodeDecode<T extends Number> - Class in org.tensorflow.op.core

Decodes each string in `input` into a sequence of Unicode code points.

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

Optional attributes for UnicodeDecode

UnicodeDecodeWithOffsets<T extends Number> - 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

UnicodeEncode - Class in org.tensorflow.op.core

Encode a tensor of ints into unicode strings.

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

Optional attributes for UnicodeEncode

UnicodeScript - Class in org.tensorflow.op.strings

Determine the script codes of a given tensor of Unicode integer code points.

unicodeScript(Operand<Integer>) - Method in class org.tensorflow.op.StringsOps

Builds an UnicodeScript operation

UnicodeTranscode - Class in org.tensorflow.op.strings

Transcode the input text from a source encoding to a destination encoding.

unicodeTranscode(Operand<String>, String, String, UnicodeTranscode.Options...) - Method in class org.tensorflow.op.StringsOps

Builds an UnicodeTranscode operation

UnicodeTranscode.Options - Class in org.tensorflow.op.strings

Optional attributes for UnicodeTranscode

UniformCandidateSampler - Class in org.tensorflow.op.random

Generates labels for candidate sampling with a uniform distribution.

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

Builds an UniformCandidateSampler operation

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<T,V extends Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

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

Builds an Unique operation

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

Builds an Unique operation

UniqueWithCounts<T,V extends Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

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

Builds an UniqueWithCounts operation

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

Builds an UniqueWithCounts operation

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<T extends Number> - Class in org.tensorflow.op.core

Converts a flat index or array of flat indices into a tuple of

unravelIndex(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an UnravelIndex operation

UnsortedSegmentMax<T extends Number> - Class in org.tensorflow.op.math

Computes the maximum along segments of a tensor.

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

Builds an UnsortedSegmentMax operation

UnsortedSegmentMin<T extends Number> - Class in org.tensorflow.op.math

Computes the minimum along segments of a tensor.

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

Builds an UnsortedSegmentMin operation

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

Computes the product along segments of a tensor.

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

Builds an UnsortedSegmentProd operation

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

Computes the sum along segments of a tensor.

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

Builds an UnsortedSegmentSum operation

Unstack<T> - Class in org.tensorflow.op.core

Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.

unstack(Operand<T>, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops

Builds an Unstack operation

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

Optional attributes for Unstack

Unstage - Class in org.tensorflow.op.core

Op is similar to a lightweight Dequeue.

unstage(List<Class<?>>, Unstage.Options...) - Method in class org.tensorflow.op.Ops

Builds an Unstage operation

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

Optional attributes for Unstage

UnwrapDatasetVariant - Class in org.tensorflow.op.core

updates() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParameters

Parameter updates updated by the Adadelta optimization algorithm.

updates() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug

Parameter updates updated by the Adadelta optimization algorithm.

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 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.ResourceApplyAdamWithAmsgrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdamWithAmsgrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyKerasMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyKerasMomentum

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.ResourceScatterNdSub.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub

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.ResourceSparseApplyKerasMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyKerasMomentum

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.core.ResourceApplyKerasMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyKerasMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyKerasMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyKerasMomentum

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

useTpu(Boolean) - Method in class org.tensorflow.op.core.TPUReplicateMetadata.Options

useTpu(Boolean) - Static method in class org.tensorflow.op.core.TPUReplicateMetadata

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

validDetections() - Method in class org.tensorflow.op.core.CombinedNonMaxSuppression

A [batch_size] int32 tensor indicating the number of valid detections per batch item.

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.

valueOf(String) - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.tensorflow.EagerSession.ResourceCleanupStrategy

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() - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.tensorflow.EagerSession.ResourceCleanupStrategy

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 in org.tensorflow.op.core

Creates a handle to a Variable resource.

varHandleOp(Class<T>, Shape, VarHandleOp.Options...) - Method in class org.tensorflow.op.Ops

Builds an VarHandleOp operation

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

Optional attributes for VarHandleOp

Variable<T> - Class in org.tensorflow.op.core

Holds state in the form of a tensor that persists across steps.

variable(Shape, Class<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops

Builds an Variable operation

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

Optional attributes for Variable

VariableShape<T extends Number> - Class in org.tensorflow.op.core

Returns the shape of the variable pointed to by `resource`.

variableShape(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Builds an VariableShape operation

variableShape(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an VariableShape operation

varianceEpsilon(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options

varianceEpsilon(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm

VarIsInitializedOp - Class in org.tensorflow.op.core

Checks whether a resource handle-based variable has been initialized.

varIsInitializedOp(Operand<?>) - Method in class org.tensorflow.op.Ops

Builds an VarIsInitializedOp operation

varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options

varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable

velocities() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParameters

Parameter velocities updated by the ADAM optimization algorithm.

velocities() - Method in class org.tensorflow.op.core.RetrieveTPUEmbeddingADAMParametersGradAccumDebug

Parameter velocities updated by the ADAM optimization algorithm.

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

waitFor(List<Long>) - Method in class org.tensorflow.op.collective.AllReduce.Options

waitFor(List<Long>) - Static method in class org.tensorflow.op.collective.AllReduce

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.core.RetrieveTPUEmbeddingMDLAdagradLightParameters

Parameter weights updated by the MDL Adagrad Light optimization algorithm.

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 - Class in org.tensorflow.op.core

Returns locations of nonzero / true values in a tensor.

where(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Where operation

Where3<T> - Class in org.tensorflow.op.core

Selects elements from `x` or `y`, depending on `condition`.

where3(Operand<Boolean>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an Where3 operation

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

Builds a while loop.

WholeFileReader - Class in org.tensorflow.op.io

A Reader that outputs the entire contents of a file as a value.

wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.IoOps

Builds an WholeFileReader operation

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.

withControlDependencies(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Returns an API that adds operations to the graph with the provided control dependencies.

withControlDependencies(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Scope

Returns a new scope where added operations will have the provided control dependencies.

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 builds operations 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.

WorkerHeartbeat - Class in org.tensorflow.op.core

Worker heartbeat op.

WrapDatasetVariant - Class in org.tensorflow.op.core

WriteAudioSummary - Class in org.tensorflow.op.summary

WriteAudioSummary.Options - Class in org.tensorflow.op.summary

Optional attributes for WriteAudioSummary

WriteFile - Class in org.tensorflow.op.io

Writes contents to the file at input filename.

writeFile(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.IoOps

Builds an WriteFile operation

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

WriteRawProtoSummary - Class in org.tensorflow.op.core

WriteScalarSummary - Class in org.tensorflow.op.summary

WriteSummary - Class in org.tensorflow.op.summary

writeTo(IntBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Integer 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(DoubleBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Double tensor into the given buffer.

writeTo(LongBuffer) - Method in class org.tensorflow.Tensor

Write the data of a Long tensor into the given buffer.

writeTo(ByteBuffer) - Method in class org.tensorflow.Tensor

Write the tensor data into the given buffer.

X

xBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGradV3

A 4D Tensor for the gradient with respect to 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<T> - Class in org.tensorflow.op.math

Returns 0 if x == 0, and x / y otherwise, elementwise.

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

Builds an Xdivy operation

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

Returns 0 if x == 0, and x * log(y) otherwise, elementwise.

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

Builds an Xlogy operation

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.FusedBatchNormV3

A 4D Tensor for output data.

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.core.MulNoNan

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<T> - Class in org.tensorflow.op.core

An operator creating a constant initialized with zeros of the shape given by `dims`.

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

Builds an Zeros operation

ZerosLike<T> - Class in org.tensorflow.op.core

Returns a tensor of zeros with the same shape and type as x.

zerosLike(Operand<T>) - Method in class org.tensorflow.op.Ops

Builds an ZerosLike operation

Zeta<T extends Number> - Class in org.tensorflow.op.math

Compute the Hurwitz zeta function \\(\zeta(x, q)\\).

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

Builds an Zeta operation

ZipDataset - Class in org.tensorflow.op.data

Creates a dataset that zips together `input_datasets`.

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