A B C D E F G H I 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

Adds an Abort operation to the graph

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

Optional attributes for Abort

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

Computes the absolute value of a tensor.

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

Adds an Abs operation to the graph

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

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

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

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

AccumulateNV2<T> - Class in org.tensorflow.op.core

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

accumulateNV2(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an AccumulateNV2 operation to the graph

AccumulatorApplyGradient - Class in org.tensorflow.op.core

Applies a gradient to a given accumulator.

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

Adds an AccumulatorApplyGradient operation to the graph

AccumulatorNumAccumulated - Class in org.tensorflow.op.core

Returns the number of gradients aggregated in the given accumulators.

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

Adds an AccumulatorNumAccumulated operation to the graph

AccumulatorSetGlobalStep - Class in org.tensorflow.op.core

Updates the accumulator with a new value for global_step.

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

Adds an AccumulatorSetGlobalStep operation to the graph

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

Extracts the average gradient in the given ConditionalAccumulator.

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

Adds an AccumulatorTakeGradient operation to the graph

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

Computes acos of x element-wise.

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

Adds an Acos operation to the graph

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

Computes inverse hyperbolic cosine of x element-wise.

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

Adds an Acosh operation to the graph

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

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

Has the same output shape as "features".

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

Has the same output shape as "features".

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

Has the same output shape as "features".

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

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

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

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

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

adaptative(Boolean) - Static method in class org.tensorflow.op.core.SdcaOptimizer

adaptative(Boolean) - Method in class org.tensorflow.op.core.SdcaOptimizer.Options

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

Returns x + y element-wise.

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

Adds an Add operation to the graph

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

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

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

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

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

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

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

Returns the builder to create an operation.

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

AddManySparseToTensorsMap - Class in org.tensorflow.op.core

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.Ops

Adds an AddManySparseToTensorsMap operation to the graph

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

Optional attributes for AddManySparseToTensorsMap

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

Add all input tensors element wise.

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

Adds an AddN operation to the graph

AddSparseToTensorsMap - Class in org.tensorflow.op.core

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

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

Adds an AddSparseToTensorsMap operation to the graph

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

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.

AddV2<T> - Class in org.tensorflow.op.core

Returns x + y element-wise.

addV2(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an AddV2 operation to the graph

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

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

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

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

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

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

adjoint(Boolean) - Static method in class org.tensorflow.op.core.MatrixInverse

adjoint(Boolean) - Method in class org.tensorflow.op.core.MatrixInverse.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.core.MatrixSolve

adjoint(Boolean) - Method in class org.tensorflow.op.core.MatrixSolve.Options

adjoint(Boolean) - Static method in class org.tensorflow.op.core.MatrixTriangularSolve

adjoint(Boolean) - Method in class org.tensorflow.op.core.MatrixTriangularSolve.Options

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

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

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

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

AdjustContrast - Class in org.tensorflow.op.core

Adjust the contrast of one or more images.

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

Adds an AdjustContrast operation to the graph

AdjustHue - Class in org.tensorflow.op.core

Adjust the hue of one or more images.

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

Adds an AdjustHue operation to the graph

AdjustSaturation - Class in org.tensorflow.op.core

Adjust the saturation of one or more images.

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

Adds an AdjustSaturation operation to the graph

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

alignCorners(Boolean) - Method in class org.tensorflow.op.core.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

Adds an All operation to the graph

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

Optional attributes for All

AllCandidateSampler - Class in org.tensorflow.op.core

Generates labels for candidate sampling with a learned unigram distribution.

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

Adds an AllCandidateSampler operation to the graph

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

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

alpha(Float) - Static method in class org.tensorflow.op.core.LRN

alpha(Float) - Method in class org.tensorflow.op.core.LRN.Options

alpha(Float) - Static method in class org.tensorflow.op.core.LRNGrad

alpha(Float) - Method in class org.tensorflow.op.core.LRNGrad.Options

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

Returns the argument of a complex number.

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

Adds an Angle operation to the graph

AnonymousIterator - Class in org.tensorflow.op.core

A container for an iterator resource.

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

Adds an AnonymousIterator operation to the graph

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

Adds an Any operation to the graph

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

Optional attributes for Any

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

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.Ops

Adds an ApplyAdadelta operation to the graph

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

Optional attributes for ApplyAdadelta

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

Update '*var' according to the adagrad scheme.

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

Adds an ApplyAdagrad operation to the graph

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

Optional attributes for ApplyAdagrad

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

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.Ops

Adds an ApplyAdagradDA operation to the graph

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

Optional attributes for ApplyAdagradDA

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

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.Ops

Adds an ApplyAdam operation to the graph

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

Optional attributes for ApplyAdam

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

Update '*var' according to the AdaMax algorithm.

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

Optional attributes for ApplyAdaMax

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

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.Ops

Adds an ApplyAddSign operation to the graph

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

Optional attributes for ApplyAddSign

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

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.Ops

Adds an ApplyCenteredRMSProp operation to the graph

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

Optional attributes for ApplyCenteredRMSProp

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

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>, ApplyFtrl.Options...) - Method in class org.tensorflow.op.Ops

Adds an ApplyFtrl operation to the graph

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

Optional attributes for ApplyFtrl

ApplyFtrlV2<T> - Class in org.tensorflow.op.core

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

applyFtrlV2(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrlV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an ApplyFtrlV2 operation to the graph

ApplyFtrlV2.Options - Class in org.tensorflow.op.core

Optional attributes for ApplyFtrlV2

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

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

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

Adds an ApplyGradientDescent operation to the graph

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

Optional attributes for ApplyGradientDescent

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

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.Ops

Adds an ApplyMomentum operation to the graph

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

Optional attributes for ApplyMomentum

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

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.Ops

Adds an ApplyPowerSign operation to the graph

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

Optional attributes for ApplyPowerSign

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

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.Ops

Adds an ApplyProximalAdagrad operation to the graph

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

Optional attributes for ApplyProximalAdagrad

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

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.Ops

Adds an ApplyProximalGradientDescent operation to the graph

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

Optional attributes for ApplyProximalGradientDescent

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

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.Ops

Adds an ApplyRMSProp operation to the graph

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

Optional attributes for ApplyRMSProp

ApproximateEqual - Class in org.tensorflow.op.core

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

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

Adds an ApproximateEqual operation to the graph

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

Optional attributes for ApproximateEqual

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

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

areaRange(List<Float>) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

areaRange(List<Float>) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.Options

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

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

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

4-D.

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

Adds an ArgMax operation to the graph

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

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.Ops

Adds an ArgMin operation to the graph

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

Computes asin of x element-wise.

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

Adds an Asin operation to the graph

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

Computes inverse hyperbolic sine of x element-wise.

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

Adds an Asinh operation to the graph

asOutput() - Method in interface org.tensorflow.Input

Returns the symbolic handle of a tensor.

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

asOutput() - Method in class org.tensorflow.op.core.AccumulateNV2

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.AddV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.ApplyFtrlV2

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

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

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

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

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

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

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

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

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

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

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

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.AsString

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.AvgPool3D

asOutput() - Method in class org.tensorflow.op.core.AvgPool3DGrad

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

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.BatchCholesky

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

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

asOutput() - Method in class org.tensorflow.op.core.BatchDatasetV2

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

asOutput() - Method in class org.tensorflow.op.core.BatchFFT2D

asOutput() - Method in class org.tensorflow.op.core.BatchFFT3D

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

asOutput() - Method in class org.tensorflow.op.core.BatchIFFT2D

asOutput() - Method in class org.tensorflow.op.core.BatchIFFT3D

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

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

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

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

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

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

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

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

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

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

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

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

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.BesselI0e

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

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

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

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

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

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

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

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

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

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

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.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.BytesProducedStatsDataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.Conv2D

asOutput() - Method in class org.tensorflow.op.core.Conv2DBackpropFilter

asOutput() - Method in class org.tensorflow.op.core.Conv2DBackpropInput

asOutput() - Method in class org.tensorflow.op.core.Conv3D

asOutput() - Method in class org.tensorflow.op.core.Conv3DBackpropFilter

asOutput() - Method in class org.tensorflow.op.core.Conv3DBackpropFilterV2

asOutput() - Method in class org.tensorflow.op.core.Conv3DBackpropInput

asOutput() - Method in class org.tensorflow.op.core.Conv3DBackpropInputV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.DecodeAndCropJpeg

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.Dilation2D

asOutput() - Method in class org.tensorflow.op.core.Dilation2DBackpropFilter

asOutput() - Method in class org.tensorflow.op.core.Dilation2DBackpropInput

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

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

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.Elu

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

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.EncodeBase64

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.FFT2D

asOutput() - Method in class org.tensorflow.op.core.FFT3D

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.FusedPadConv2D

asOutput() - Method in class org.tensorflow.op.core.FusedResizeAndPadConv2D

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.GatherV2

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.GetSessionHandleV2

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

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

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

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.HistogramSummary

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.IFFT2D

asOutput() - Method in class org.tensorflow.op.core.IFFT3D

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.InTopKV2

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.IRFFT2D

asOutput() - Method in class org.tensorflow.op.core.IRFFT3D

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.IteratorFromStringHandleV2

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

asOutput() - Method in class org.tensorflow.op.core.IteratorV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.LRN

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

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.MatchingFiles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.MaxPool3D

asOutput() - Method in class org.tensorflow.op.core.MaxPool3DGrad

asOutput() - Method in class org.tensorflow.op.core.MaxPool3DGradGrad

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

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

asOutput() - Method in class org.tensorflow.op.core.MaxPoolGradGradV2

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

asOutput() - Method in class org.tensorflow.op.core.MaxPoolGradV2

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

asOutput() - Method in class org.tensorflow.op.core.MaxPoolV2

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

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

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

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

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

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.Mod

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

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

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

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.MutexLock

asOutput() - Method in class org.tensorflow.op.core.MutexV2

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.NonMaxSuppressionV2

asOutput() - Method in class org.tensorflow.op.core.NonMaxSuppressionV3

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

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

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

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.OptimizeDataset

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.PaddedBatchDatasetV2

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

asOutput() - Method in class org.tensorflow.op.core.PadV2

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.ParameterizedTruncatedNormal

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

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

asOutput() - Method in class org.tensorflow.op.core.PlaceholderV2

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

asOutput() - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV3

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

asOutput() - Method in class org.tensorflow.op.core.QueueIsClosedV2

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.RandomPoissonV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.ReduceJoin

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

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

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.RegexFullMatch

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.Restore

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

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.RFFT

asOutput() - Method in class org.tensorflow.op.core.RFFT2D

asOutput() - Method in class org.tensorflow.op.core.RFFT3D

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

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

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

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

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

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

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

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

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

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.SdcaFprint

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

asOutput() - Method in class org.tensorflow.op.core.SparseApplyFtrlV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.StatelessMultinomial

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

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

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

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

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

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.StringJoin

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.TensorDataset

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.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.TensorListSetItem

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

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

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

asOutput() - Method in class org.tensorflow.op.core.TensorSummaryV2

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.WholeFileReader

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

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

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

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

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.core.SampleDistortedBoundingBox

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

aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.Options

Assert - Class in org.tensorflow.op.core

Asserts that the given condition is true.

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

Optional attributes for Assert

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

Adds an Assign operation to the graph

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

Adds an AssignAdd operation to the graph

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

Adds an AssignAddVariableOp operation to the graph

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

Adds an AssignSub operation to the graph

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

Adds an AssignSubVariableOp operation to the graph

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

Adds an AssignVariableOp operation to the graph

AsString - Class in org.tensorflow.op.core

Converts each entry in the given tensor to strings.

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

Adds an AsString operation to the graph

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

Optional attributes for AsString

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

Computes atan of x element-wise.

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

Adds an Atan operation to the graph

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

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

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

Adds an Atan2 operation to the graph

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

Computes inverse hyperbolic tangent of x element-wise.

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

Adds an Atanh operation to the graph

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

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

AudioSpectrogram - Class in org.tensorflow.op.core

Produces a visualization of audio data over time.

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

Adds an AudioSpectrogram operation to the graph

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

Optional attributes for AudioSpectrogram

AudioSummary - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with audio.

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

Adds an AudioSummary operation to the graph

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

Optional attributes for AudioSummary

aValGrad() - Method in class org.tensorflow.op.core.SparseAddGrad

1-D with shape `[nnz(A)]`.

average() - Method in class org.tensorflow.op.core.AccumulatorTakeGradient

The average of the accumulated gradients.

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

Performs average pooling on the input.

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

Adds an AvgPool operation to the graph

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

Optional attributes for AvgPool

AvgPool3D<T extends Number> - Class in org.tensorflow.op.core

Performs 3D average pooling on the input.

avgPool3D(Operand<T>, List<Long>, List<Long>, String, AvgPool3D.Options...) - Method in class org.tensorflow.op.Ops

Adds an AvgPool3D operation to the graph

AvgPool3D.Options - Class in org.tensorflow.op.core

Optional attributes for AvgPool3D

AvgPool3DGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients of average pooling function.

avgPool3DGrad(Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPool3DGrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an AvgPool3DGrad operation to the graph

AvgPool3DGrad.Options - Class in org.tensorflow.op.core

Optional attributes for AvgPool3DGrad

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

Computes gradients of the average pooling function.

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

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.core.SoftmaxCrossEntropyWithLogits

backpropagated gradients (batch_size x num_classes matrix).

backprop() - Method in class org.tensorflow.op.core.SparseSoftmaxCrossEntropyWithLogits

backpropagated gradients (batch_size x num_classes matrix).

backprops() - Method in class org.tensorflow.op.core.EluGrad

The gradients: `gradients * (outputs + 1)` if outputs < 0, `gradients` otherwise.

backprops() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: `gradients * (inputs >= min && inputs <= max)`.

backprops() - Method in class org.tensorflow.op.core.Relu6Grad

The gradients: `gradients * (features > 0) * (features < 6)`.

backprops() - Method in class org.tensorflow.op.core.ReluGrad

`gradients * (features > 0)`.

backprops() - Method in class org.tensorflow.op.core.SeluGrad

The gradients: `gradients * (outputs + scale * alpha)` if outputs < 0, `scale * gradients` otherwise.

backprops() - Method in class org.tensorflow.op.core.SoftplusGrad

The gradients: `gradients / (1 + exp(-features))`.

backprops() - Method in class org.tensorflow.op.core.SoftsignGrad

The gradients: `gradients / (1 + abs(features)) ** 2`.

backpropsWrtInput() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropsWrtInput() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

backpropWrtMax() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropWrtMax() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

backpropWrtMin() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

Backpropagated gradients w.r.t.

backpropWrtMin() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

Backpropagated gradients w.r.t.

badColor(Tensor<?>) - Static method in class org.tensorflow.op.core.ImageSummary

badColor(Tensor<?>) - Method in class org.tensorflow.op.core.ImageSummary.Options

band() - Method in class org.tensorflow.op.core.BatchMatrixBandPart

band() - Method in class org.tensorflow.op.core.MatrixBandPart

Rank `k` tensor of the same shape as input.

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

Adds an Barrier operation to the graph

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

Adds an BarrierClose operation to the graph

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

Adds an BarrierIncompleteSize operation to the graph

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

Adds an BarrierInsertMany operation to the graph

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

Adds an BarrierReadySize operation to the graph

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

Adds an BarrierTakeMany operation to the graph

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

Adds an Batch operation to the graph

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

Optional attributes for Batch

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

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

Adds an BatchCholesky operation to the graph

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

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

Adds an BatchCholeskyGrad operation to the graph

BatchDataset - Class in org.tensorflow.op.core

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

batchDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an BatchDataset operation to the graph

BatchDatasetV2 - Class in org.tensorflow.op.core

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

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

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

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

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

BatchFFT - Class in org.tensorflow.op.core

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

Adds an BatchFFT operation to the graph

BatchFFT2D - Class in org.tensorflow.op.core

batchFFT2D(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an BatchFFT2D operation to the graph

BatchFFT3D - Class in org.tensorflow.op.core

batchFFT3D(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an BatchFFT3D operation to the graph

BatchIFFT - Class in org.tensorflow.op.core

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

Adds an BatchIFFT operation to the graph

BatchIFFT2D - Class in org.tensorflow.op.core

batchIFFT2D(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an BatchIFFT2D operation to the graph

BatchIFFT3D - Class in org.tensorflow.op.core

batchIFFT3D(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an BatchIFFT3D operation to the graph

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.core

Multiplies slices of two tensors in batches.

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

Adds an BatchMatMul operation to the graph

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

Optional attributes for BatchMatMul

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

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

Adds an BatchMatrixBandPart operation to the graph

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

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

Adds an BatchMatrixDeterminant operation to the graph

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

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

Adds an BatchMatrixDiag operation to the graph

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

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

Adds an BatchMatrixDiagPart operation to the graph

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

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

Adds an BatchMatrixInverse operation to the graph

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

Optional attributes for BatchMatrixInverse

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

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

Adds an BatchMatrixSetDiag operation to the graph

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

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

Adds an BatchMatrixSolve operation to the graph

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

Optional attributes for BatchMatrixSolve

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

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

Adds an BatchMatrixSolveLs operation to the graph

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

Optional attributes for BatchMatrixSolveLs

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

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

Adds an BatchMatrixTriangularSolve operation to the graph

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

Optional attributes for BatchMatrixTriangularSolve

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

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.core.FusedBatchNormV2

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.core

Batch normalization.

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

Adds an BatchNormWithGlobalNormalization operation to the graph

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

Gradients for batch normalization.

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

Adds an BatchNormWithGlobalNormalizationGrad operation to the graph

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

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

Adds an BatchSelfAdjointEig operation to the graph

BatchSelfAdjointEigV2<T extends Number> - Class in org.tensorflow.op.core

batchSelfAdjointEigV2(Operand<T>, BatchSelfAdjointEigV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an BatchSelfAdjointEigV2 operation to the graph

BatchSelfAdjointEigV2.Options - Class in org.tensorflow.op.core

Optional attributes for BatchSelfAdjointEigV2

batchSize(Long) - Static method in class org.tensorflow.op.core.RecordInput

batchSize(Long) - Method in class org.tensorflow.op.core.RecordInput.Options

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

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

Adds an BatchSvd operation to the graph

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

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

Adds an BatchToSpace operation to the graph

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

Adds an BatchToSpaceND operation to the graph

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

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.core.FusedBatchNormV2

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.core.SampleDistortedBoundingBox

3-D with shape `[1, 1, 4]` containing the distorted bounding box.

bboxes() - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

3-D with shape `[1, 1, 4]` containing the distorted bounding box.

begin() - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox

1-D, containing `[offset_height, offset_width, 0]`.

begin() - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

1-D, containing `[offset_height, offset_width, 0]`.

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

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

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

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

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

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

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

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

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

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

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

Adds an BesselI0e operation to the graph

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

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

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

Adds an BesselI1e operation to the graph

beta(Float) - Static method in class org.tensorflow.op.core.LRN

beta(Float) - Method in class org.tensorflow.op.core.LRN.Options

beta(Float) - Static method in class org.tensorflow.op.core.LRNGrad

beta(Float) - Method in class org.tensorflow.op.core.LRNGrad.Options

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

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

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

Adds an Betainc operation to the graph

bias(Float) - Static method in class org.tensorflow.op.core.LRN

bias(Float) - Method in class org.tensorflow.op.core.LRN.Options

bias(Float) - Static method in class org.tensorflow.op.core.LRNGrad

bias(Float) - Method in class org.tensorflow.op.core.LRNGrad.Options

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

Adds `bias` to `value`.

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

Adds an BiasAdd operation to the graph

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

Optional attributes for BiasAdd

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

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

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

Adds an BiasAddGrad operation to the graph

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

Optional attributes for BiasAddGrad

biases() - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

BigQueryReader - Class in org.tensorflow.op.core

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.Ops

Adds an BigQueryReader operation to the graph

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

Optional attributes for BigQueryReader

binaryExamples() - Method in class org.tensorflow.op.core.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.core

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.Ops

Adds an Bincount operation to the graph

bins() - Method in class org.tensorflow.op.core.Bincount

1D `Tensor` with length equal to `size`.

bIsSparse(Boolean) - Static method in class org.tensorflow.op.core.SparseMatMul

bIsSparse(Boolean) - Method in class org.tensorflow.op.core.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

Adds an Bitcast operation to the graph

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

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

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

Adds an BitwiseAnd operation to the graph

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

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

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

Adds an BitwiseOr operation to the graph

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

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

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

Adds an BitwiseXor operation to the graph

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

Returns the value in a scalar Boolean tensor.

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.

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.

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

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

Adds an BroadcastDynamicShape operation to the graph

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

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

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

Adds an BroadcastTo operation to the graph

Bucketize - Class in org.tensorflow.op.core

Bucketizes 'input' based on 'boundaries'.

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

Adds an Bucketize operation to the graph

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

Add the Operation being built to the Graph.

bValGrad() - Method in class org.tensorflow.op.core.SparseAddGrad

1-D with shape `[nnz(B)]`.

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

Tensor of serialized protos with shape `batch_shape`.

BytesProducedStatsDataset - Class in org.tensorflow.op.core

Records the bytes size of each element of `input_dataset` in a StatsAggregator.

bytesProducedStatsDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an BytesProducedStatsDataset operation to the graph

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

Returns the value in a scalar String tensor.

C

CacheDataset - Class in org.tensorflow.op.core

Creates a dataset that caches elements from `input_dataset`.

cacheDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an CacheDataset operation to the graph

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.core.QueueClose

cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.core.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.FIFOQueue

capacity(Long) - Method in class org.tensorflow.op.core.FIFOQueue.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.PaddingFIFOQueue

capacity(Long) - Method in class org.tensorflow.op.core.PaddingFIFOQueue.Options

capacity(Long) - Static method in class org.tensorflow.op.core.PriorityQueue

capacity(Long) - Method in class org.tensorflow.op.core.PriorityQueue.Options

capacity(Long) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

capacity(Long) - Method in class org.tensorflow.op.core.RandomShuffleQueue.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

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

Cast x of type SrcT to y of DstT.

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

Adds an Cast operation to the graph

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

Returns element-wise smallest integer in not less than x.

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

Adds an Ceil operation to the graph

centered(Boolean) - Static method in class org.tensorflow.op.core.ExtractGlimpse

centered(Boolean) - Method in class org.tensorflow.op.core.ExtractGlimpse.Options

channels(Long) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

channels(Long) - Method in class org.tensorflow.op.core.DecodeAndCropJpeg.Options

channels(Long) - Static method in class org.tensorflow.op.core.DecodeBmp

channels(Long) - Method in class org.tensorflow.op.core.DecodeBmp.Options

channels(Long) - Static method in class org.tensorflow.op.core.DecodeJpeg

channels(Long) - Method in class org.tensorflow.op.core.DecodeJpeg.Options

channels(Long) - Static method in class org.tensorflow.op.core.DecodePng

channels(Long) - Method in class org.tensorflow.op.core.DecodePng.Options

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

Checks a tensor for NaN and Inf values.

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

Adds an CheckNumerics operation to the graph

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

Computes the Cholesky decomposition of one or more square matrices.

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

Adds an Cholesky operation to the graph

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

Computes the reverse mode backpropagated gradient of the Cholesky algorithm.

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

Adds an CholeskyGrad operation to the graph

chromaDownsampling(Boolean) - Static method in class org.tensorflow.op.core.EncodeJpeg

chromaDownsampling(Boolean) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

clearAfterRead(Boolean) - Static method in class org.tensorflow.op.core.TensorArray

clearAfterRead(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options

ClipByValue<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

Adds an ClipByValue operation to the graph

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.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.core

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

Receives a tensor value broadcast from another device.

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

Broadcasts a tensor value to one or more other devices.

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

Mutually reduces multiple tensors of identical type and shape.

colPoolingSequence() - Method in class org.tensorflow.op.core.FractionalAvgPool

column pooling sequence, needed to calculate gradient.

colPoolingSequence() - Method in class org.tensorflow.op.core.FractionalMaxPool

column pooling sequence, needed to calculate gradient.

CompareAndBitpack - Class in org.tensorflow.op.core

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

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

Adds an CompareAndBitpack operation to the graph

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

Converts two real numbers to a complex number.

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

Adds an Complex operation to the graph

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

Computes the complex absolute value of a tensor.

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

Adds an ComplexAbs operation to the graph

components() - Method in class org.tensorflow.op.core.DatasetToSingleElement

The components of the single element of `input`.

components() - Method in class org.tensorflow.op.core.IteratorGetNext

components() - Method in class org.tensorflow.op.core.IteratorGetNextSync

components() - Method in class org.tensorflow.op.core.QueueDequeue

One or more tensors that were dequeued as a tuple.

components() - Method in class org.tensorflow.op.core.QueueDequeueMany

One or more tensors that were dequeued as a tuple.

components() - Method in class org.tensorflow.op.core.QueueDequeueUpTo

One or more tensors that were dequeued as a tuple.

compression(Long) - Static method in class org.tensorflow.op.core.EncodePng

compression(Long) - Method in class org.tensorflow.op.core.EncodePng.Options

compressionType(String) - Static method in class org.tensorflow.op.core.DecodeCompressed

compressionType(String) - Method in class org.tensorflow.op.core.DecodeCompressed.Options

compressionType(String) - Static method in class org.tensorflow.op.core.RecordInput

compressionType(String) - Method in class org.tensorflow.op.core.RecordInput.Options

compressionType(String) - Static method in class org.tensorflow.op.core.TFRecordReader

compressionType(String) - Method in class org.tensorflow.op.core.TFRecordReader.Options

ComputeAccidentalHits - Class in org.tensorflow.op.core

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.Ops

Adds an ComputeAccidentalHits operation to the graph

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

Optional attributes for ComputeAccidentalHits

computeUv(Boolean) - Static method in class org.tensorflow.op.core.BatchSvd

computeUv(Boolean) - Method in class org.tensorflow.op.core.BatchSvd.Options

computeUv(Boolean) - Static method in class org.tensorflow.op.core.Svd

computeUv(Boolean) - Method in class org.tensorflow.op.core.Svd.Options

computeV(Boolean) - Static method in class org.tensorflow.op.core.BatchSelfAdjointEigV2

computeV(Boolean) - Method in class org.tensorflow.op.core.BatchSelfAdjointEigV2.Options

computeV(Boolean) - Static method in class org.tensorflow.op.core.SelfAdjointEig

computeV(Boolean) - Method in class org.tensorflow.op.core.SelfAdjointEig.Options

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

Concatenates tensors along one dimension.

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

Adds an Concat operation to the graph

ConcatenateDataset - Class in org.tensorflow.op.core

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

concatenateDataset(Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an ConcatenateDataset operation to the graph

ConditionalAccumulator - Class in org.tensorflow.op.core

A conditional accumulator for aggregating gradients.

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

Adds an ConditionalAccumulator operation to the graph

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

Optional attributes for ConditionalAccumulator

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

Returns the complex conjugate of a complex number.

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

Adds an Conj operation to the graph

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

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

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

Adds an ConjugateTranspose operation to the graph

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

Returns a constant tensor.

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

An operator producing a constant value.

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

Adds an Constant operation to the graph

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

Adds an Constant operation to the graph

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

Adds an Constant operation to the graph

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

Adds an Constant operation to the graph

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

Adds an Constant operation to the graph

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

Adds an Constant operation to the graph

ConsumeMutexLock - Class in org.tensorflow.op.core

This op consumes a lock created by `MutexLock`.

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

Adds an ConsumeMutexLock operation to the graph

container(String) - Static method in class org.tensorflow.op.core.AddManySparseToTensorsMap

container(String) - Method in class org.tensorflow.op.core.AddManySparseToTensorsMap.Options

container(String) - Static method in class org.tensorflow.op.core.AddSparseToTensorsMap

container(String) - Method in class org.tensorflow.op.core.AddSparseToTensorsMap.Options

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.BigQueryReader

container(String) - Method in class org.tensorflow.op.core.BigQueryReader.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.ConditionalAccumulator

container(String) - Method in class org.tensorflow.op.core.ConditionalAccumulator.Options

container(String) - Static method in class org.tensorflow.op.core.FIFOQueue

container(String) - Method in class org.tensorflow.op.core.FIFOQueue.Options

container(String) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

container(String) - Method in class org.tensorflow.op.core.FixedLengthRecordReader.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.IdentityReader

container(String) - Method in class org.tensorflow.op.core.IdentityReader.Options

container(String) - Static method in class org.tensorflow.op.core.LMDBReader

container(String) - Method in class org.tensorflow.op.core.LMDBReader.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.MutexV2

container(String) - Method in class org.tensorflow.op.core.MutexV2.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.PaddingFIFOQueue

container(String) - Method in class org.tensorflow.op.core.PaddingFIFOQueue.Options

container(String) - Static method in class org.tensorflow.op.core.PriorityQueue

container(String) - Method in class org.tensorflow.op.core.PriorityQueue.Options

container(String) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

container(String) - Method in class org.tensorflow.op.core.RandomShuffleQueue.Options

container(String) - Static method in class org.tensorflow.op.core.SparseConditionalAccumulator

container(String) - Method in class org.tensorflow.op.core.SparseConditionalAccumulator.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.StatsAggregatorHandle

container(String) - Method in class org.tensorflow.op.core.StatsAggregatorHandle.Options

container(String) - Static method in class org.tensorflow.op.core.SummaryWriter

container(String) - Method in class org.tensorflow.op.core.SummaryWriter.Options

container(String) - Static method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

container(String) - Method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap.Options

container(String) - Static method in class org.tensorflow.op.core.TextLineReader

container(String) - Method in class org.tensorflow.op.core.TextLineReader.Options

container(String) - Static method in class org.tensorflow.op.core.TFRecordReader

container(String) - Method in class org.tensorflow.op.core.TFRecordReader.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.core.WholeFileReader

container(String) - Method in class org.tensorflow.op.core.WholeFileReader.Options

contents() - Method in class org.tensorflow.op.core.EncodeJpeg

0-D.

contents() - Method in class org.tensorflow.op.core.EncodePng

0-D.

contents() - Method in class org.tensorflow.op.core.EncodeWav

0-D.

contents() - Method in class org.tensorflow.op.core.ReadFile

contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.core.ParseSingleSequenceExample

contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.core.ParseSingleSequenceExample.Options

contextDenseValues() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

contextSparseIndices() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

contextSparseShapes() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

contextSparseValues() - Method in class org.tensorflow.op.core.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

Adds an ControlTrigger operation to the graph

Conv2D<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Conv2D operation to the graph

Conv2D.Options - Class in org.tensorflow.op.core

Optional attributes for Conv2D

Conv2DBackpropFilter<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Conv2DBackpropFilter operation to the graph

Conv2DBackpropFilter.Options - Class in org.tensorflow.op.core

Optional attributes for Conv2DBackpropFilter

Conv2DBackpropInput<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Conv2DBackpropInput operation to the graph

Conv2DBackpropInput.Options - Class in org.tensorflow.op.core

Optional attributes for Conv2DBackpropInput

Conv3D<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Conv3D operation to the graph

Conv3D.Options - Class in org.tensorflow.op.core

Optional attributes for Conv3D

Conv3DBackpropFilter<T extends Number> - Class in org.tensorflow.op.core

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

conv3DBackpropFilter(Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv3DBackpropFilter.Options...) - Method in class org.tensorflow.op.Ops

Adds an Conv3DBackpropFilter operation to the graph

Conv3DBackpropFilter.Options - Class in org.tensorflow.op.core

Optional attributes for Conv3DBackpropFilter

Conv3DBackpropFilterV2<T extends Number> - Class in org.tensorflow.op.core

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

conv3DBackpropFilterV2(Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3DBackpropFilterV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an Conv3DBackpropFilterV2 operation to the graph

Conv3DBackpropFilterV2.Options - Class in org.tensorflow.op.core

Optional attributes for Conv3DBackpropFilterV2

Conv3DBackpropInput<T extends Number> - Class in org.tensorflow.op.core

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

conv3DBackpropInput(Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv3DBackpropInput.Options...) - Method in class org.tensorflow.op.Ops

Adds an Conv3DBackpropInput operation to the graph

Conv3DBackpropInput.Options - Class in org.tensorflow.op.core

Optional attributes for Conv3DBackpropInput

Conv3DBackpropInputV2<U extends Number> - Class in org.tensorflow.op.core

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

conv3DBackpropInputV2(Operand<T>, Operand<U>, Operand<U>, List<Long>, String, Conv3DBackpropInputV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an Conv3DBackpropInputV2 operation to the graph

Conv3DBackpropInputV2.Options - Class in org.tensorflow.op.core

Optional attributes for Conv3DBackpropInputV2

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.core

Computes cos of x element-wise.

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

Adds an Cos operation to the graph

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

Computes hyperbolic cosine of x element-wise.

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

Adds an Cosh operation to the graph

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

1-D.

count() - Method in class org.tensorflow.op.core.UniqueWithCountsV2

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

Adds an CountUpTo operation to the graph

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

Factory method to create a class to wrap a new Abort operation to the graph.

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

Factory method to create a class to wrap a new Abs operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.AccumulateNV2

Factory method to create a class to wrap a new AccumulateNV2 operation to the graph.

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

Factory method to create a class to wrap a new AccumulatorApplyGradient operation to the graph.

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

Factory method to create a class to wrap a new AccumulatorNumAccumulated operation to the graph.

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

Factory method to create a class to wrap a new AccumulatorSetGlobalStep operation to the graph.

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

Factory method to create a class to wrap a new AccumulatorTakeGradient operation to the graph.

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

Factory method to create a class to wrap a new Acos operation to the graph.

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

Factory method to create a class to wrap a new Acosh operation to the graph.

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

Factory method to create a class to wrap a new Add operation to the graph.

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

Factory method to create a class to wrap a new AddManySparseToTensorsMap operation to the graph.

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

Factory method to create a class to wrap a new AddN operation to the graph.

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

Factory method to create a class to wrap a new AddSparseToTensorsMap operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.AddV2

Factory method to create a class to wrap a new AddV2 operation to the graph.

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

Factory method to create a class to wrap a new AdjustContrast operation to the graph.

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

Factory method to create a class to wrap a new AdjustHue operation to the graph.

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

Factory method to create a class to wrap a new AdjustSaturation operation to the graph.

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

Factory method to create a class to wrap a new All operation to the graph.

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

Factory method to create a class to wrap a new AllCandidateSampler operation to the graph.

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

Factory method to create a class to wrap a new Angle operation to the graph.

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

Factory method to create a class to wrap a new AnonymousIterator operation to the graph.

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

Factory method to create a class to wrap a new Any operation to the graph.

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

Factory method to create a class to wrap a new ApplyAdadelta operation to the graph.

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

Factory method to create a class to wrap a new ApplyAdagrad operation to the graph.

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

Factory method to create a class to wrap a new ApplyAdagradDA operation to the graph.

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

Factory method to create a class to wrap a new ApplyAdam operation to the graph.

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

Factory method to create a class to wrap a new ApplyAdaMax operation to the graph.

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

Factory method to create a class to wrap a new ApplyAddSign operation to the graph.

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

Factory method to create a class to wrap a new ApplyCenteredRMSProp operation to the graph.

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

Factory method to create a class to wrap a new ApplyFtrl operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrlV2.Options...) - Static method in class org.tensorflow.op.core.ApplyFtrlV2

Factory method to create a class to wrap a new ApplyFtrlV2 operation to the graph.

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

Factory method to create a class to wrap a new ApplyGradientDescent operation to the graph.

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

Factory method to create a class to wrap a new ApplyMomentum operation to the graph.

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

Factory method to create a class to wrap a new ApplyPowerSign operation to the graph.

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

Factory method to create a class to wrap a new ApplyProximalAdagrad operation to the graph.

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

Factory method to create a class to wrap a new ApplyProximalGradientDescent operation to the graph.

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

Factory method to create a class to wrap a new ApplyRMSProp operation to the graph.

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

Factory method to create a class to wrap a new ApproximateEqual operation to the graph.

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

Factory method to create a class to wrap a new ArgMax operation to the graph.

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

Factory method to create a class to wrap a new ArgMin operation to the graph.

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

Factory method to create a class to wrap a new Asin operation to the graph.

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

Factory method to create a class to wrap a new Asinh operation to the graph.

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

Factory method to create a class to wrap a new Assert operation to the graph.

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

Factory method to create a class to wrap a new Assign operation to the graph.

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

Factory method to create a class to wrap a new AssignAdd operation to the graph.

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

Factory method to create a class to wrap a new AssignAddVariableOp operation to the graph.

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

Factory method to create a class to wrap a new AssignSub operation to the graph.

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

Factory method to create a class to wrap a new AssignSubVariableOp operation to the graph.

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

Factory method to create a class to wrap a new AssignVariableOp operation to the graph.

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

Factory method to create a class to wrap a new AsString operation to the graph.

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

Factory method to create a class to wrap a new Atan operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Atan2

Factory method to create a class to wrap a new Atan2 operation to the graph.

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

Factory method to create a class to wrap a new Atanh operation to the graph.

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

Factory method to create a class to wrap a new AudioSpectrogram operation to the graph.

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

Factory method to create a class to wrap a new AudioSummary operation to the graph.

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

Factory method to create a class to wrap a new AvgPool operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool3D.Options...) - Static method in class org.tensorflow.op.core.AvgPool3D

Factory method to create a class to wrap a new AvgPool3D operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, List<Long>, List<Long>, String, AvgPool3DGrad.Options...) - Static method in class org.tensorflow.op.core.AvgPool3DGrad

Factory method to create a class to wrap a new AvgPool3DGrad operation to the graph.

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

Factory method to create a class to wrap a new AvgPoolGrad operation to the graph.

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

Factory method to create a class to wrap a new Barrier operation to the graph.

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

Factory method to create a class to wrap a new BarrierClose operation to the graph.

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

Factory method to create a class to wrap a new BarrierIncompleteSize operation to the graph.

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

Factory method to create a class to wrap a new BarrierInsertMany operation to the graph.

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

Factory method to create a class to wrap a new BarrierReadySize operation to the graph.

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

Factory method to create a class to wrap a new BarrierTakeMany operation to the graph.

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

Factory method to create a class to wrap a new Batch operation to the graph.

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

Factory method to create a class to wrap a new BatchCholesky operation to the graph.

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

Factory method to create a class to wrap a new BatchCholeskyGrad operation to the graph.

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

Factory method to create a class to wrap a new BatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Boolean>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.BatchDatasetV2

Factory method to create a class to wrap a new BatchDatasetV2 operation to the graph.

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

Factory method to create a class to wrap a new BatchFFT operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BatchFFT2D

Factory method to create a class to wrap a new BatchFFT2D operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BatchFFT3D

Factory method to create a class to wrap a new BatchFFT3D operation to the graph.

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

Factory method to create a class to wrap a new BatchIFFT operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BatchIFFT2D

Factory method to create a class to wrap a new BatchIFFT2D operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BatchIFFT3D

Factory method to create a class to wrap a new BatchIFFT3D operation to the graph.

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

Factory method to create a class to wrap a new BatchMatMul operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixBandPart operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixDeterminant operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixDiag operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixDiagPart operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixInverse operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixSetDiag operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixSolve operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixSolveLs operation to the graph.

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

Factory method to create a class to wrap a new BatchMatrixTriangularSolve operation to the graph.

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

Factory method to create a class to wrap a new BatchNormWithGlobalNormalization operation to the graph.

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

Factory method to create a class to wrap a new BatchNormWithGlobalNormalizationGrad operation to the graph.

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

Factory method to create a class to wrap a new BatchSelfAdjointEig operation to the graph.

create(Scope, Operand<T>, BatchSelfAdjointEigV2.Options...) - Static method in class org.tensorflow.op.core.BatchSelfAdjointEigV2

Factory method to create a class to wrap a new BatchSelfAdjointEigV2 operation to the graph.

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

Factory method to create a class to wrap a new BatchSvd operation to the graph.

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

Factory method to create a class to wrap a new BatchToSpace operation to the graph.

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

Factory method to create a class to wrap a new BatchToSpaceND operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.BesselI0e

Factory method to create a class to wrap a new BesselI0e operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.BesselI1e

Factory method to create a class to wrap a new BesselI1e operation to the graph.

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

Factory method to create a class to wrap a new Betainc operation to the graph.

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

Factory method to create a class to wrap a new BiasAdd operation to the graph.

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

Factory method to create a class to wrap a new BiasAddGrad operation to the graph.

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

Factory method to create a class to wrap a new BigQueryReader operation to the graph.

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

Factory method to create a class to wrap a new Bincount operation to the graph.

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

Factory method to create a class to wrap a new Bitcast operation to the graph.

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

Factory method to create a class to wrap a new BitwiseAnd operation to the graph.

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

Factory method to create a class to wrap a new BitwiseOr operation to the graph.

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

Factory method to create a class to wrap a new BitwiseXor operation to the graph.

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

Factory method to create a class to wrap a new BoostedTreesCalculateBestGainsPerFeature operation to the graph.

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

Factory method to create a class to wrap a new BoostedTreesCenterBias operation to the graph.

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

Factory method to create a class to wrap a new BoostedTreesCreateEnsemble operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.BoostedTreesDeserializeEnsemble

Factory method to create a class to wrap a new BoostedTreesDeserializeEnsemble operation to the graph.

create(Scope, BoostedTreesEnsembleResourceHandleOp.Options...) - Static method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

Factory method to create a class to wrap a new BoostedTreesEnsembleResourceHandleOp operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

Factory method to create a class to wrap a new BoostedTreesExampleDebugOutputs operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Factory method to create a class to wrap a new BoostedTreesGetEnsembleStates operation to the graph.

create(Scope, Operand<Integer>, Operand<Float>, Operand<Float>, Iterable<Operand<Integer>>, Long, Long) - Static method in class org.tensorflow.op.core.BoostedTreesMakeStatsSummary

Factory method to create a class to wrap a new BoostedTreesMakeStatsSummary operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesPredict

Factory method to create a class to wrap a new BoostedTreesPredict operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.BoostedTreesSerializeEnsemble

Factory method to create a class to wrap a new BoostedTreesSerializeEnsemble operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Integer>, Iterable<Operand<Integer>>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Factory method to create a class to wrap a new BoostedTreesTrainingPredict operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Iterable<Operand<Integer>>, Iterable<Operand<Float>>, Iterable<Operand<Integer>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Integer>, Operand<Float>, Long) - Static method in class org.tensorflow.op.core.BoostedTreesUpdateEnsemble

Factory method to create a class to wrap a new BoostedTreesUpdateEnsemble operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape

Factory method to create a class to wrap a new BroadcastDynamicShape operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs

Factory method to create a class to wrap a new BroadcastGradientArgs operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.BroadcastTo

Factory method to create a class to wrap a new BroadcastTo operation to the graph.

create(Scope, Operand<T>, List<Float>) - Static method in class org.tensorflow.op.core.Bucketize

Factory method to create a class to wrap a new Bucketize operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.BytesProducedStatsDataset

Factory method to create a class to wrap a new BytesProducedStatsDataset operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.CacheDataset

Factory method to create a class to wrap a new CacheDataset operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Cast

Factory method to create a class to wrap a new Cast operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Ceil

Factory method to create a class to wrap a new Ceil operation to the graph.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.CheckNumerics

Factory method to create a class to wrap a new CheckNumerics operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Cholesky

Factory method to create a class to wrap a new Cholesky operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.CholeskyGrad

Factory method to create a class to wrap a new CholeskyGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ClipByValue

Factory method to create a class to wrap a new ClipByValue operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.CloseSummaryWriter

Factory method to create a class to wrap a new CloseSummaryWriter operation to the graph.

create(Scope, Class<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.core.CollectiveBcastRecv

Factory method to create a class to wrap a new CollectiveBcastRecv operation to the graph.

create(Scope, Operand<T>, Long, Long, Long, Shape) - Static method in class org.tensorflow.op.core.CollectiveBcastSend

Factory method to create a class to wrap a new CollectiveBcastSend operation to the graph.

create(Scope, Operand<T>, Long, Long, Long, String, String, List<Long>) - Static method in class org.tensorflow.op.core.CollectiveReduce

Factory method to create a class to wrap a new CollectiveReduce operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.CompareAndBitpack

Factory method to create a class to wrap a new CompareAndBitpack operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Complex

Factory method to create a class to wrap a new Complex operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.ComplexAbs

Factory method to create a class to wrap a new ComplexAbs operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.core.ComputeAccidentalHits

Factory method to create a class to wrap a new ComputeAccidentalHits operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Concat

Factory method to create a class to wrap a new Concat operation to the graph.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ConcatenateDataset

Factory method to create a class to wrap a new ConcatenateDataset operation to the graph.

create(Scope, Class<T>, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.core.ConditionalAccumulator

Factory method to create a class to wrap a new ConditionalAccumulator operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Conj

Factory method to create a class to wrap a new Conj operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ConjugateTranspose

Factory method to create a class to wrap a new ConjugateTranspose operation to the graph.

create(Scope, Tensor<?>, Class<T>) - Static method in class org.tensorflow.op.core.Const

Factory method to create a class to wrap a new Const operation to the graph.

create(Scope, Object, Class<T>) - Static method in class org.tensorflow.op.core.Constant

Create a constant from a Java object.

create(Scope, long[], IntBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT32 constant with data from the given buffer.

create(Scope, long[], FloatBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.FLOAT constant with data from the given buffer.

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[], LongBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a DataType.INT64 constant with data from the given buffer.

create(Scope, Class<T>, long[], ByteBuffer) - Static method in class org.tensorflow.op.core.Constant

Create a constant with data from the given buffer.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ConsumeMutexLock

Factory method to create a class to wrap a new ConsumeMutexLock operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger

Factory method to create a class to wrap a new ControlTrigger operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv2D.Options...) - Static method in class org.tensorflow.op.core.Conv2D

Factory method to create a class to wrap a new Conv2D operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv2DBackpropFilter.Options...) - Static method in class org.tensorflow.op.core.Conv2DBackpropFilter

Factory method to create a class to wrap a new Conv2DBackpropFilter operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, Conv2DBackpropInput.Options...) - Static method in class org.tensorflow.op.core.Conv2DBackpropInput

Factory method to create a class to wrap a new Conv2DBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv3D.Options...) - Static method in class org.tensorflow.op.core.Conv3D

Factory method to create a class to wrap a new Conv3D operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv3DBackpropFilter.Options...) - Static method in class org.tensorflow.op.core.Conv3DBackpropFilter

Factory method to create a class to wrap a new Conv3DBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, Conv3DBackpropFilterV2.Options...) - Static method in class org.tensorflow.op.core.Conv3DBackpropFilterV2

Factory method to create a class to wrap a new Conv3DBackpropFilterV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv3DBackpropInput.Options...) - Static method in class org.tensorflow.op.core.Conv3DBackpropInput

Factory method to create a class to wrap a new Conv3DBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, List<Long>, String, Conv3DBackpropInputV2.Options...) - Static method in class org.tensorflow.op.core.Conv3DBackpropInputV2

Factory method to create a class to wrap a new Conv3DBackpropInputV2 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Cos

Factory method to create a class to wrap a new Cos operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Cosh

Factory method to create a class to wrap a new Cosh operation to the graph.

create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.CountUpTo

Factory method to create a class to wrap a new CountUpTo operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<String>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.CreateSummaryDbWriter

Factory method to create a class to wrap a new CreateSummaryDbWriter operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<Integer>, Operand<Integer>, Operand<String>) - Static method in class org.tensorflow.op.core.CreateSummaryFileWriter

Factory method to create a class to wrap a new CreateSummaryFileWriter operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Integer>, Operand<Integer>, CropAndResize.Options...) - Static method in class org.tensorflow.op.core.CropAndResize

Factory method to create a class to wrap a new CropAndResize operation to the graph.

create(Scope, Operand<Float>, Operand<T>, Operand<Float>, Operand<Integer>, CropAndResizeGradBoxes.Options...) - Static method in class org.tensorflow.op.core.CropAndResizeGradBoxes

Factory method to create a class to wrap a new CropAndResizeGradBoxes operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Class<T>, CropAndResizeGradImage.Options...) - Static method in class org.tensorflow.op.core.CropAndResizeGradImage

Factory method to create a class to wrap a new CropAndResizeGradImage operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Cross

Factory method to create a class to wrap a new Cross operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Long, Long, CTCBeamSearchDecoder.Options...) - Static method in class org.tensorflow.op.core.CTCBeamSearchDecoder

Factory method to create a class to wrap a new CTCBeamSearchDecoder operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, CTCGreedyDecoder.Options...) - Static method in class org.tensorflow.op.core.CTCGreedyDecoder

Factory method to create a class to wrap a new CTCGreedyDecoder operation to the graph.

create(Scope, Operand<Float>, Operand<Long>, Operand<Integer>, Operand<Integer>, CTCLoss.Options...) - Static method in class org.tensorflow.op.core.CTCLoss

Factory method to create a class to wrap a new CTCLoss operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRNN.Options...) - Static method in class org.tensorflow.op.core.CudnnRNN

Factory method to create a class to wrap a new CudnnRNN operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRNNBackprop.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

Factory method to create a class to wrap a new CudnnRNNBackprop operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<?>, CudnnRNNBackpropV2.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

Factory method to create a class to wrap a new CudnnRNNBackpropV2 operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

Factory method to create a class to wrap a new CudnnRNNCanonicalToParams operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Class<T>, Class<U>, CudnnRNNParamsSize.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

Factory method to create a class to wrap a new CudnnRNNParamsSize operation to the graph.

create(Scope, Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Long, CudnnRNNParamsToCanonical.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

Factory method to create a class to wrap a new CudnnRNNParamsToCanonical operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRNNV2.Options...) - Static method in class org.tensorflow.op.core.CudnnRNNV2

Factory method to create a class to wrap a new CudnnRNNV2 operation to the graph.

create(Scope, Operand<T>, Operand<U>, Cumprod.Options...) - Static method in class org.tensorflow.op.core.Cumprod

Factory method to create a class to wrap a new Cumprod operation to the graph.

create(Scope, Operand<T>, Operand<U>, Cumsum.Options...) - Static method in class org.tensorflow.op.core.Cumsum

Factory method to create a class to wrap a new Cumsum operation to the graph.

create(Scope, Operand<T>, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.core.DataFormatDimMap

Factory method to create a class to wrap a new DataFormatDimMap operation to the graph.

create(Scope, Operand<T>, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.core.DataFormatVecPermute

Factory method to create a class to wrap a new DataFormatVecPermute operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.DatasetToGraph

Factory method to create a class to wrap a new DatasetToGraph operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.DatasetToSingleElement

Factory method to create a class to wrap a new DatasetToSingleElement operation to the graph.

create(Scope, Operand<?>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.DatasetToTFRecord

Factory method to create a class to wrap a new DatasetToTFRecord operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientIdentity

Factory method to create a class to wrap a new DebugGradientIdentity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DebugGradientRefIdentity

Factory method to create a class to wrap a new DebugGradientRefIdentity operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

Factory method to create a class to wrap a new DecodeAndCropJpeg operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DecodeBase64

Factory method to create a class to wrap a new DecodeBase64 operation to the graph.

create(Scope, Operand<String>, DecodeBmp.Options...) - Static method in class org.tensorflow.op.core.DecodeBmp

Factory method to create a class to wrap a new DecodeBmp operation to the graph.

create(Scope, Operand<String>, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.core.DecodeCompressed

Factory method to create a class to wrap a new DecodeCompressed operation to the graph.

create(Scope, Operand<String>, Iterable<Operand<?>>, DecodeCSV.Options...) - Static method in class org.tensorflow.op.core.DecodeCSV

Factory method to create a class to wrap a new DecodeCSV operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DecodeGif

Factory method to create a class to wrap a new DecodeGif operation to the graph.

create(Scope, Operand<String>, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.core.DecodeJpeg

Factory method to create a class to wrap a new DecodeJpeg operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DecodeJSONExample

Factory method to create a class to wrap a new DecodeJSONExample operation to the graph.

create(Scope, Operand<String>, Class<T>, DecodePng.Options...) - Static method in class org.tensorflow.op.core.DecodePng

Factory method to create a class to wrap a new DecodePng operation to the graph.

create(Scope, Operand<String>, String, List<String>, List<Class<?>>, DecodeProtoV2.Options...) - Static method in class org.tensorflow.op.core.DecodeProtoV2

Factory method to create a class to wrap a new DecodeProtoV2 operation to the graph.

create(Scope, Operand<String>, Class<T>, DecodeRaw.Options...) - Static method in class org.tensorflow.op.core.DecodeRaw

Factory method to create a class to wrap a new DecodeRaw operation to the graph.

create(Scope, Operand<String>, DecodeWav.Options...) - Static method in class org.tensorflow.op.core.DecodeWav

Factory method to create a class to wrap a new DecodeWav operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DeepCopy

Factory method to create a class to wrap a new DeepCopy operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.DeleteSessionTensor

Factory method to create a class to wrap a new DeleteSessionTensor operation to the graph.

create(Scope, Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.core.DenseToDenseSetOperation

Factory method to create a class to wrap a new DenseToDenseSetOperation operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.DenseToSparseBatchDataset

Factory method to create a class to wrap a new DenseToSparseBatchDataset operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.core.DenseToSparseSetOperation

Factory method to create a class to wrap a new DenseToSparseSetOperation operation to the graph.

create(Scope, Operand<T>, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.core.DepthToSpace

Factory method to create a class to wrap a new DepthToSpace operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNative

Factory method to create a class to wrap a new DepthwiseConv2dNative operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter

Factory method to create a class to wrap a new DepthwiseConv2dNativeBackpropFilter operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput

Factory method to create a class to wrap a new DepthwiseConv2dNativeBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Dequantize.Options...) - Static method in class org.tensorflow.op.core.Dequantize

Factory method to create a class to wrap a new Dequantize operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.DeserializeIterator

Factory method to create a class to wrap a new DeserializeIterator operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.DeserializeManySparse

Factory method to create a class to wrap a new DeserializeManySparse operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.DeserializeSparse

Factory method to create a class to wrap a new DeserializeSparse operation to the graph.

create(Scope, Operand<?>, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp

Factory method to create a class to wrap a new DestroyResourceOp operation to the graph.

create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable

Factory method to create a class to wrap a new DestroyTemporaryVariable operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Diag

Factory method to create a class to wrap a new Diag operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DiagPart

Factory method to create a class to wrap a new DiagPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Digamma

Factory method to create a class to wrap a new Digamma operation to the graph.

create(Scope, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.Dilation2D

Factory method to create a class to wrap a new Dilation2D operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.Dilation2DBackpropFilter

Factory method to create a class to wrap a new Dilation2DBackpropFilter operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.Dilation2DBackpropInput

Factory method to create a class to wrap a new Dilation2DBackpropInput operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Div

Factory method to create a class to wrap a new Div operation to the graph.

create(Scope, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.DrawBoundingBoxes

Factory method to create a class to wrap a new DrawBoundingBoxes operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.DynamicPartition

Factory method to create a class to wrap a new DynamicPartition operation to the graph.

create(Scope, Iterable<Operand<Integer>>, Operand<T>) - Static method in class org.tensorflow.op.core.DynamicStitch

Factory method to create a class to wrap a new DynamicStitch operation to the graph.

create(Scope, Iterable<Operand<?>>, String, List<Class<?>>) - Static method in class org.tensorflow.op.core.EagerPyFunc

Factory method to create a class to wrap a new EagerPyFunc operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, EditDistance.Options...) - Static method in class org.tensorflow.op.core.EditDistance

Factory method to create a class to wrap a new EditDistance operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Elu

Factory method to create a class to wrap a new Elu operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.EluGrad

Factory method to create a class to wrap a new EluGrad operation to the graph.

create(Scope, Operand<Integer>, Class<T>, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty

Factory method to create a class to wrap a new Empty operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.EmptyTensorList

Factory method to create a class to wrap a new EmptyTensorList operation to the graph.

create(Scope, Operand<String>, EncodeBase64.Options...) - Static method in class org.tensorflow.op.core.EncodeBase64

Factory method to create a class to wrap a new EncodeBase64 operation to the graph.

create(Scope, Operand<UInt8>, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.core.EncodeJpeg

Factory method to create a class to wrap a new EncodeJpeg operation to the graph.

create(Scope, Operand<T>, EncodePng.Options...) - Static method in class org.tensorflow.op.core.EncodePng

Factory method to create a class to wrap a new EncodePng operation to the graph.

create(Scope, Operand<Integer>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Static method in class org.tensorflow.op.core.EncodeProto

Factory method to create a class to wrap a new EncodeProto operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.core.EncodeWav

Factory method to create a class to wrap a new EncodeWav operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.EnqueueInQueueDataset

Factory method to create a class to wrap a new EnqueueInQueueDataset operation to the graph.

create(Scope, Operand<T>, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter

Factory method to create a class to wrap a new Enter operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Equal

Factory method to create a class to wrap a new Equal operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Erf

Factory method to create a class to wrap a new Erf operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Erfc

Factory method to create a class to wrap a new Erfc operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exit

Factory method to create a class to wrap a new Exit operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exp

Factory method to create a class to wrap a new Exp operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ExpandDims

Factory method to create a class to wrap a new ExpandDims operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Expm1

Factory method to create a class to wrap a new Expm1 operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.core.ExtractGlimpse

Factory method to create a class to wrap a new ExtractGlimpse operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.ExtractImagePatches

Factory method to create a class to wrap a new ExtractImagePatches operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.ExtractJpegShape

Factory method to create a class to wrap a new ExtractJpegShape operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.Fact

Factory method to create a class to wrap a new Fact operation to the graph.

create(Scope, Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs

Factory method to create a class to wrap a new FakeQuantWithMinMaxArgs operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxArgsGradient operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars

Factory method to create a class to wrap a new FakeQuantWithMinMaxVars operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsGradient operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannel operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

Factory method to create a class to wrap a new FakeQuantWithMinMaxVarsPerChannelGradient operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.FeatureStatsDataset

Factory method to create a class to wrap a new FeatureStatsDataset operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.FFT

Factory method to create a class to wrap a new FFT operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.FFT2D

Factory method to create a class to wrap a new FFT2D operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.FFT3D

Factory method to create a class to wrap a new FFT3D operation to the graph.

create(Scope, List<Class<?>>, FIFOQueue.Options...) - Static method in class org.tensorflow.op.core.FIFOQueue

Factory method to create a class to wrap a new FIFOQueue operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Fill

Factory method to create a class to wrap a new Fill operation to the graph.

create(Scope, Operand<String>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.FixedLengthRecordDataset

Factory method to create a class to wrap a new FixedLengthRecordDataset operation to the graph.

create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

Factory method to create a class to wrap a new FixedLengthRecordReader operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

Factory method to create a class to wrap a new FixedUnigramCandidateSampler operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Floor

Factory method to create a class to wrap a new Floor operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.FloorDiv

Factory method to create a class to wrap a new FloorDiv operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.FloorMod

Factory method to create a class to wrap a new FloorMod operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.FlushSummaryWriter

Factory method to create a class to wrap a new FlushSummaryWriter operation to the graph.

create(Scope, Operand<T>, List<Float>, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.core.FractionalAvgPool

Factory method to create a class to wrap a new FractionalAvgPool operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.core.FractionalAvgPoolGrad

Factory method to create a class to wrap a new FractionalAvgPoolGrad operation to the graph.

create(Scope, Operand<T>, List<Float>, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.core.FractionalMaxPool

Factory method to create a class to wrap a new FractionalMaxPool operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, Operand<Long>, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.core.FractionalMaxPoolGrad

Factory method to create a class to wrap a new FractionalMaxPoolGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNorm

Factory method to create a class to wrap a new FusedBatchNorm operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, FusedBatchNormGrad.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNormGrad

Factory method to create a class to wrap a new FusedBatchNormGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, FusedBatchNormGradV2.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV2

Factory method to create a class to wrap a new FusedBatchNormGradV2 operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormV2.Options...) - Static method in class org.tensorflow.op.core.FusedBatchNormV2

Factory method to create a class to wrap a new FusedBatchNormV2 operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>, String, List<Long>, String) - Static method in class org.tensorflow.op.core.FusedPadConv2D

Factory method to create a class to wrap a new FusedPadConv2D operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<Integer>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2D.Options...) - Static method in class org.tensorflow.op.core.FusedResizeAndPadConv2D

Factory method to create a class to wrap a new FusedResizeAndPadConv2D operation to the graph.

create(Scope, Operand<T>, Operand<U>, Gather.Options...) - Static method in class org.tensorflow.op.core.Gather

Factory method to create a class to wrap a new Gather operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.GatherNd

Factory method to create a class to wrap a new GatherNd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.GatherV2

Factory method to create a class to wrap a new GatherV2 operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.GcsConfigureBlockCache

Factory method to create a class to wrap a new GcsConfigureBlockCache operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.GcsConfigureCredentials

Factory method to create a class to wrap a new GcsConfigureCredentials operation to the graph.

create(Scope, String, String, String, List<String>, Long, Long, GenerateBigQueryReaderPartitions.Options...) - Static method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

Factory method to create a class to wrap a new GenerateBigQueryReaderPartitions operation to the graph.

create(Scope, Operand<String>, Operand<String>, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.core.GenerateVocabRemapping

Factory method to create a class to wrap a new GenerateVocabRemapping operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GetSessionHandle

Factory method to create a class to wrap a new GetSessionHandle operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GetSessionHandleV2

Factory method to create a class to wrap a new GetSessionHandleV2 operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.GetSessionTensor

Factory method to create a class to wrap a new GetSessionTensor operation to the graph.

create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients

Adds gradients computation ops to the graph according to scope.

create(Scope, Operand<?>, Iterable<Operand<?>>, 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>, Operand<T>) - Static method in class org.tensorflow.op.core.Greater

Factory method to create a class to wrap a new Greater operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.GreaterEqual

Factory method to create a class to wrap a new GreaterEqual operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GuaranteeConst

Factory method to create a class to wrap a new GuaranteeConst operation to the graph.

create(Scope, Class<T>, Class<U>, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable

Factory method to create a class to wrap a new HashTable operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth

Factory method to create a class to wrap a new HistogramFixedWidth operation to the graph.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.core.HistogramSummary

Factory method to create a class to wrap a new HistogramSummary operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.HSVToRGB

Factory method to create a class to wrap a new HSVToRGB operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Identity

Factory method to create a class to wrap a new Identity operation to the graph.

create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.IdentityN

Factory method to create a class to wrap a new IdentityN operation to the graph.

create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.core.IdentityReader

Factory method to create a class to wrap a new IdentityReader operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IFFT

Factory method to create a class to wrap a new IFFT operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IFFT2D

Factory method to create a class to wrap a new IFFT2D operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IFFT3D

Factory method to create a class to wrap a new IFFT3D operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Igamma

Factory method to create a class to wrap a new Igamma operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Igammac

Factory method to create a class to wrap a new Igammac operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.IgammaGradA

Factory method to create a class to wrap a new IgammaGradA operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Imag

Factory method to create a class to wrap a new Imag operation to the graph.

create(Scope, Operand<String>, Operand<T>, ImageSummary.Options...) - Static method in class org.tensorflow.op.core.ImageSummary

Factory method to create a class to wrap a new ImageSummary operation to the graph.

create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst

Factory method to create a class to wrap a new ImmutableConst operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.ImportEvent

Factory method to create a class to wrap a new ImportEvent operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.InitializeTable

Factory method to create a class to wrap a new InitializeTable operation to the graph.

create(Scope, Operand<?>, Operand<String>, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

Factory method to create a class to wrap a new InitializeTableFromTextFile operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceAdd

Factory method to create a class to wrap a new InplaceAdd operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceSub

Factory method to create a class to wrap a new InplaceSub operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceUpdate

Factory method to create a class to wrap a new InplaceUpdate operation to the graph.

create(Scope, Operand<Float>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.InTopK

Factory method to create a class to wrap a new InTopK operation to the graph.

create(Scope, Operand<Float>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.InTopKV2

Factory method to create a class to wrap a new InTopKV2 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Inv

Factory method to create a class to wrap a new Inv operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Invert

Factory method to create a class to wrap a new Invert operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.InvertPermutation

Factory method to create a class to wrap a new InvertPermutation operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.InvGrad

Factory method to create a class to wrap a new InvGrad operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.core.IRFFT

Factory method to create a class to wrap a new IRFFT operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.core.IRFFT2D

Factory method to create a class to wrap a new IRFFT2D operation to the graph.

create(Scope, Operand<?>, Operand<Integer>) - Static method in class org.tensorflow.op.core.IRFFT3D

Factory method to create a class to wrap a new IRFFT3D operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IsBoostedTreesEnsembleInitialized

Factory method to create a class to wrap a new IsBoostedTreesEnsembleInitialized operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsFinite

Factory method to create a class to wrap a new IsFinite operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsInf

Factory method to create a class to wrap a new IsInf operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsNan

Factory method to create a class to wrap a new IsNan operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.IsVariableInitialized

Factory method to create a class to wrap a new IsVariableInitialized operation to the graph.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.Iterator

Factory method to create a class to wrap a new Iterator operation to the graph.

create(Scope, Operand<String>, List<Class<?>>, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.core.IteratorFromStringHandle

Factory method to create a class to wrap a new IteratorFromStringHandle operation to the graph.

create(Scope, Operand<String>, List<Class<?>>, IteratorFromStringHandleV2.Options...) - Static method in class org.tensorflow.op.core.IteratorFromStringHandleV2

Factory method to create a class to wrap a new IteratorFromStringHandleV2 operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.IteratorGetNext

Factory method to create a class to wrap a new IteratorGetNext operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.IteratorGetNextSync

Factory method to create a class to wrap a new IteratorGetNextSync operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.IteratorToStringHandle

Factory method to create a class to wrap a new IteratorToStringHandle operation to the graph.

create(Scope, String, String, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.IteratorV2

Factory method to create a class to wrap a new IteratorV2 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.L2Loss

Factory method to create a class to wrap a new L2Loss operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.LatencyStatsDataset

Factory method to create a class to wrap a new LatencyStatsDataset operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.core.LearnedUnigramCandidateSampler

Factory method to create a class to wrap a new LearnedUnigramCandidateSampler operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LeftShift

Factory method to create a class to wrap a new LeftShift operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Less

Factory method to create a class to wrap a new Less operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LessEqual

Factory method to create a class to wrap a new LessEqual operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Lgamma

Factory method to create a class to wrap a new Lgamma operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LinSpace

Factory method to create a class to wrap a new LinSpace operation to the graph.

create(Scope, LMDBReader.Options...) - Static method in class org.tensorflow.op.core.LMDBReader

Factory method to create a class to wrap a new LMDBReader operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>, Operand<Long>, Operand<Float>, Long, Long, LoadAndRemapMatrix.Options...) - Static method in class org.tensorflow.op.core.LoadAndRemapMatrix

Factory method to create a class to wrap a new LoadAndRemapMatrix operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Log

Factory method to create a class to wrap a new Log operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Log1p

Factory method to create a class to wrap a new Log1p operation to the graph.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LogicalAnd

Factory method to create a class to wrap a new LogicalAnd operation to the graph.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LogicalNot

Factory method to create a class to wrap a new LogicalNot operation to the graph.

create(Scope, Operand<Boolean>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LogicalOr

Factory method to create a class to wrap a new LogicalOr operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.LogMatrixDeterminant

Factory method to create a class to wrap a new LogMatrixDeterminant operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.LogSoftmax

Factory method to create a class to wrap a new LogSoftmax operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.core.LogUniformCandidateSampler

Factory method to create a class to wrap a new LogUniformCandidateSampler operation to the graph.

create(Scope, Operand<?>, Class<T>, Class<U>) - Static method in class org.tensorflow.op.core.LookupTableExport

Factory method to create a class to wrap a new LookupTableExport operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableFind

Factory method to create a class to wrap a new LookupTableFind operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableImport

Factory method to create a class to wrap a new LookupTableImport operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.LookupTableInsert

Factory method to create a class to wrap a new LookupTableInsert operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.LookupTableSize

Factory method to create a class to wrap a new LookupTableSize operation to the graph.

create(Scope, Operand<Boolean>) - Static method in class org.tensorflow.op.core.LoopCond

Factory method to create a class to wrap a new LoopCond operation to the graph.

create(Scope, Operand<T>, LRN.Options...) - Static method in class org.tensorflow.op.core.LRN

Factory method to create a class to wrap a new LRN operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, LRNGrad.Options...) - Static method in class org.tensorflow.op.core.LRNGrad

Factory method to create a class to wrap a new LRNGrad operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.MakeIterator

Factory method to create a class to wrap a new MakeIterator operation to the graph.

create(Scope, List<Class<?>>, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear

Factory method to create a class to wrap a new MapClear operation to the graph.

create(Scope, List<Class<?>>, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize

Factory method to create a class to wrap a new MapIncompleteSize operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek

Factory method to create a class to wrap a new MapPeek operation to the graph.

create(Scope, List<Class<?>>, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize

Factory method to create a class to wrap a new MapSize operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage

Factory method to create a class to wrap a new MapStage operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage

Factory method to create a class to wrap a new MapUnstage operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey

Factory method to create a class to wrap a new MapUnstageNoKey operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.MatchingFiles

Factory method to create a class to wrap a new MatchingFiles operation to the graph.

create(Scope, Operand<T>, Operand<T>, MatMul.Options...) - Static method in class org.tensorflow.op.core.MatMul

Factory method to create a class to wrap a new MatMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.MatrixBandPart

Factory method to create a class to wrap a new MatrixBandPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixDeterminant

Factory method to create a class to wrap a new MatrixDeterminant operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixDiag

Factory method to create a class to wrap a new MatrixDiag operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixDiagPart

Factory method to create a class to wrap a new MatrixDiagPart operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixExponential

Factory method to create a class to wrap a new MatrixExponential operation to the graph.

create(Scope, Operand<T>, MatrixInverse.Options...) - Static method in class org.tensorflow.op.core.MatrixInverse

Factory method to create a class to wrap a new MatrixInverse operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixLogarithm

Factory method to create a class to wrap a new MatrixLogarithm operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.MatrixSetDiag

Factory method to create a class to wrap a new MatrixSetDiag operation to the graph.

create(Scope, Operand<T>, Operand<T>, MatrixSolve.Options...) - Static method in class org.tensorflow.op.core.MatrixSolve

Factory method to create a class to wrap a new MatrixSolve operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.core.MatrixSolveLs

Factory method to create a class to wrap a new MatrixSolveLs operation to the graph.

create(Scope, Operand<T>, Operand<T>, MatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.core.MatrixTriangularSolve

Factory method to create a class to wrap a new MatrixTriangularSolve operation to the graph.

create(Scope, Operand<T>, Operand<U>, Max.Options...) - Static method in class org.tensorflow.op.core.Max

Factory method to create a class to wrap a new Max operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Maximum

Factory method to create a class to wrap a new Maximum operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool.Options...) - Static method in class org.tensorflow.op.core.MaxPool

Factory method to create a class to wrap a new MaxPool operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool3D.Options...) - Static method in class org.tensorflow.op.core.MaxPool3D

Factory method to create a class to wrap a new MaxPool3D operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String, MaxPool3DGrad.Options...) - Static method in class org.tensorflow.op.core.MaxPool3DGrad

Factory method to create a class to wrap a new MaxPool3DGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3DGradGrad.Options...) - Static method in class org.tensorflow.op.core.MaxPool3DGradGrad

Factory method to create a class to wrap a new MaxPool3DGradGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.core.MaxPoolGrad

Factory method to create a class to wrap a new MaxPoolGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPoolGradGrad.Options...) - Static method in class org.tensorflow.op.core.MaxPoolGradGrad

Factory method to create a class to wrap a new MaxPoolGradGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradGradV2.Options...) - Static method in class org.tensorflow.op.core.MaxPoolGradGradV2

Factory method to create a class to wrap a new MaxPoolGradGradV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.MaxPoolGradGradWithArgmax

Factory method to create a class to wrap a new MaxPoolGradGradWithArgmax operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradV2.Options...) - Static method in class org.tensorflow.op.core.MaxPoolGradV2

Factory method to create a class to wrap a new MaxPoolGradV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.MaxPoolGradWithArgmax

Factory method to create a class to wrap a new MaxPoolGradWithArgmax operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolV2.Options...) - Static method in class org.tensorflow.op.core.MaxPoolV2

Factory method to create a class to wrap a new MaxPoolV2 operation to the graph.

create(Scope, Operand<T>, List<Long>, List<Long>, Class<U>, String) - Static method in class org.tensorflow.op.core.MaxPoolWithArgmax

Factory method to create a class to wrap a new MaxPoolWithArgmax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Mean.Options...) - Static method in class org.tensorflow.op.core.Mean

Factory method to create a class to wrap a new Mean operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Merge

Factory method to create a class to wrap a new Merge operation to the graph.

create(Scope, Iterable<Operand<String>>) - Static method in class org.tensorflow.op.core.MergeSummary

Factory method to create a class to wrap a new MergeSummary operation to the graph.

create(Scope, Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.core.MergeV2Checkpoints

Factory method to create a class to wrap a new MergeV2Checkpoints operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>, Mfcc.Options...) - Static method in class org.tensorflow.op.core.Mfcc

Factory method to create a class to wrap a new Mfcc operation to the graph.

create(Scope, Operand<T>, Operand<U>, Min.Options...) - Static method in class org.tensorflow.op.core.Min

Factory method to create a class to wrap a new Min operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Minimum

Factory method to create a class to wrap a new Minimum operation to the graph.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPad

Factory method to create a class to wrap a new MirrorPad operation to the graph.

create(Scope, Operand<T>, Operand<U>, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad

Factory method to create a class to wrap a new MirrorPadGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Mod

Factory method to create a class to wrap a new Mod operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Mul

Factory method to create a class to wrap a new Mul operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Static method in class org.tensorflow.op.core.Multinomial

Factory method to create a class to wrap a new Multinomial operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Multiply

Factory method to create a class to wrap a new Multiply operation to the graph.

create(Scope, Operand<T>, Class<U>, MutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableDenseHashTable

Factory method to create a class to wrap a new MutableDenseHashTable operation to the graph.

create(Scope, Class<T>, Class<U>, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable

Factory method to create a class to wrap a new MutableHashTable operation to the graph.

create(Scope, Class<T>, Class<U>, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors

Factory method to create a class to wrap a new MutableHashTableOfTensors operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.MutexLock

Factory method to create a class to wrap a new MutexLock operation to the graph.

create(Scope, MutexV2.Options...) - Static method in class org.tensorflow.op.core.MutexV2

Factory method to create a class to wrap a new MutexV2 operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Neg

Factory method to create a class to wrap a new Neg operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Negate

Factory method to create a class to wrap a new Negate operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, List<Long>, Long) - Static method in class org.tensorflow.op.core.NegTrain

Factory method to create a class to wrap a new NegTrain operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NextIteration

Factory method to create a class to wrap a new NextIteration operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.core.NonMaxSuppression

Factory method to create a class to wrap a new NonMaxSuppression operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>) - Static method in class org.tensorflow.op.core.NonMaxSuppressionV2

Factory method to create a class to wrap a new NonMaxSuppressionV2 operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.NonMaxSuppressionV3

Factory method to create a class to wrap a new NonMaxSuppressionV3 operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.NonMaxSuppressionWithOverlaps

Factory method to create a class to wrap a new NonMaxSuppressionWithOverlaps operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.NoOp

Factory method to create a class to wrap a new NoOp operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.NotEqual

Factory method to create a class to wrap a new NotEqual operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, NthElement.Options...) - Static method in class org.tensorflow.op.core.NthElement

Factory method to create a class to wrap a new NthElement operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Operand<U>, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot

Factory method to create a class to wrap a new OneHot operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OnesLike

Factory method to create a class to wrap a new OnesLike operation to the graph.

create(Scope, Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.OptimizeDataset

Factory method to create a class to wrap a new OptimizeDataset operation to the graph.

create(Scope, List<Class<?>>, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear

Factory method to create a class to wrap a new OrderedMapClear operation to the graph.

create(Scope, List<Class<?>>, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize

Factory method to create a class to wrap a new OrderedMapIncompleteSize operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek

Factory method to create a class to wrap a new OrderedMapPeek operation to the graph.

create(Scope, List<Class<?>>, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize

Factory method to create a class to wrap a new OrderedMapSize operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, Iterable<Operand<?>>, List<Class<?>>, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage

Factory method to create a class to wrap a new OrderedMapStage operation to the graph.

create(Scope, Operand<Long>, Operand<Integer>, List<Class<?>>, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage

Factory method to create a class to wrap a new OrderedMapUnstage operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey

Factory method to create a class to wrap a new OrderedMapUnstageNoKey operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Pad

Factory method to create a class to wrap a new Pad operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.PaddedBatchDataset

Factory method to create a class to wrap a new PaddedBatchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Operand<Boolean>, List<Shape>) - Static method in class org.tensorflow.op.core.PaddedBatchDatasetV2

Factory method to create a class to wrap a new PaddedBatchDatasetV2 operation to the graph.

create(Scope, List<Class<?>>, PaddingFIFOQueue.Options...) - Static method in class org.tensorflow.op.core.PaddingFIFOQueue

Factory method to create a class to wrap a new PaddingFIFOQueue operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.PadV2

Factory method to create a class to wrap a new PadV2 operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat

Factory method to create a class to wrap a new ParallelConcat operation to the graph.

create(Scope, Iterable<Operand<Integer>>, Operand<T>) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch

Factory method to create a class to wrap a new ParallelDynamicStitch operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, ParameterizedTruncatedNormal.Options...) - Static method in class org.tensorflow.op.core.ParameterizedTruncatedNormal

Factory method to create a class to wrap a new ParameterizedTruncatedNormal operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ParseExample

Factory method to create a class to wrap a new ParseExample operation to the graph.

create(Scope, Operand<String>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ParseSingleExample

Factory method to create a class to wrap a new ParseSingleExample operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<String>>, Iterable<Operand<?>>, Operand<String>, List<Class<?>>, List<Class<?>>, List<Class<?>>, ParseSingleSequenceExample.Options...) - Static method in class org.tensorflow.op.core.ParseSingleSequenceExample

Factory method to create a class to wrap a new ParseSingleSequenceExample operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.ParseTensor

Factory method to create a class to wrap a new ParseTensor operation to the graph.

create(Scope, Class<T>, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder

Factory method to create a class to wrap a new Placeholder operation to the graph.

create(Scope, Class<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderV2

Factory method to create a class to wrap a new PlaceholderV2 operation to the graph.

create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault

Factory method to create a class to wrap a new PlaceholderWithDefault operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Polygamma

Factory method to create a class to wrap a new Polygamma operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.PopulationCount

Factory method to create a class to wrap a new PopulationCount operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Pow

Factory method to create a class to wrap a new Pow operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.PrefetchDataset

Factory method to create a class to wrap a new PrefetchDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.PrependFromQueueAndPaddedBatchDataset

Factory method to create a class to wrap a new PrependFromQueueAndPaddedBatchDataset operation to the graph.

create(Scope, Operand<T>, PreventGradient.Options...) - Static method in class org.tensorflow.op.core.PreventGradient

Factory method to create a class to wrap a new PreventGradient operation to the graph.

create(Scope, Operand<T>, Iterable<Operand<?>>, Print.Options...) - Static method in class org.tensorflow.op.core.Print

Factory method to create a class to wrap a new Print operation to the graph.

create(Scope, List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Static method in class org.tensorflow.op.core.PriorityQueue

Factory method to create a class to wrap a new PriorityQueue operation to the graph.

create(Scope, Operand<T>, Operand<U>, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod

Factory method to create a class to wrap a new Prod operation to the graph.

create(Scope, Operand<T>, Qr.Options...) - Static method in class org.tensorflow.op.core.Qr

Factory method to create a class to wrap a new Qr operation to the graph.

create(Scope, Operand<T>, QuantizeAndDequantize.Options...) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

Factory method to create a class to wrap a new QuantizeAndDequantize operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV2.Options...) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

Factory method to create a class to wrap a new QuantizeAndDequantizeV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, QuantizeAndDequantizeV3.Options...) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV3

Factory method to create a class to wrap a new QuantizeAndDequantizeV3 operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.core.QuantizedAdd

Factory method to create a class to wrap a new QuantizedAdd operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.QuantizedAvgPool

Factory method to create a class to wrap a new QuantizedAvgPool operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Operand<T>, Operand<Float>, Operand<Float>, Class<U>, Float, Boolean) - Static method in class org.tensorflow.op.core.QuantizedBatchNormWithGlobalNormalization

Factory method to create a class to wrap a new QuantizedBatchNormWithGlobalNormalization operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.core.QuantizedBiasAdd

Factory method to create a class to wrap a new QuantizedBiasAdd operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Static method in class org.tensorflow.op.core.QuantizedConcat

Factory method to create a class to wrap a new QuantizedConcat operation to the graph.

create(Scope, Operand<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.core.QuantizedConv2D

Factory method to create a class to wrap a new QuantizedConv2D operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, QuantizedInstanceNorm.Options...) - Static method in class org.tensorflow.op.core.QuantizedInstanceNorm

Factory method to create a class to wrap a new QuantizedInstanceNorm operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Static method in class org.tensorflow.op.core.QuantizedMatMul

Factory method to create a class to wrap a new QuantizedMatMul operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.QuantizedMaxPool

Factory method to create a class to wrap a new QuantizedMaxPool operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<V>) - Static method in class org.tensorflow.op.core.QuantizedMul

Factory method to create a class to wrap a new QuantizedMul operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.QuantizeDownAndShrinkRange

Factory method to create a class to wrap a new QuantizeDownAndShrinkRange operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.QuantizedRelu

Factory method to create a class to wrap a new QuantizedRelu operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.QuantizedRelu6

Factory method to create a class to wrap a new QuantizedRelu6 operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.QuantizedReluX

Factory method to create a class to wrap a new QuantizedReluX operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.QuantizedReshape

Factory method to create a class to wrap a new QuantizedReshape operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<Float>, Operand<Float>, QuantizedResizeBilinear.Options...) - Static method in class org.tensorflow.op.core.QuantizedResizeBilinear

Factory method to create a class to wrap a new QuantizedResizeBilinear operation to the graph.

create(Scope, Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, QuantizeV2.Options...) - Static method in class org.tensorflow.op.core.QuantizeV2

Factory method to create a class to wrap a new QuantizeV2 operation to the graph.

create(Scope, Operand<?>, QueueClose.Options...) - Static method in class org.tensorflow.op.core.QueueClose

Factory method to create a class to wrap a new QueueClose operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Static method in class org.tensorflow.op.core.QueueDequeue

Factory method to create a class to wrap a new QueueDequeue operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.core.QueueDequeueMany

Factory method to create a class to wrap a new QueueDequeueMany operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, List<Class<?>>, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.core.QueueDequeueUpTo

Factory method to create a class to wrap a new QueueDequeueUpTo operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.core.QueueEnqueue

Factory method to create a class to wrap a new QueueEnqueue operation to the graph.

create(Scope, Operand<?>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.core.QueueEnqueueMany

Factory method to create a class to wrap a new QueueEnqueueMany operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.QueueIsClosed

Factory method to create a class to wrap a new QueueIsClosed operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.QueueIsClosedV2

Factory method to create a class to wrap a new QueueIsClosedV2 operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.QueueSize

Factory method to create a class to wrap a new QueueSize operation to the graph.

create(Scope, Operand<T>, Operand<Long>, RandomCrop.Options...) - Static method in class org.tensorflow.op.core.RandomCrop

Factory method to create a class to wrap a new RandomCrop operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.RandomDataset

Factory method to create a class to wrap a new RandomDataset operation to the graph.

create(Scope, Operand<T>, Operand<U>, RandomGamma.Options...) - Static method in class org.tensorflow.op.core.RandomGamma

Factory method to create a class to wrap a new RandomGamma operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RandomGammaGrad

Factory method to create a class to wrap a new RandomGammaGrad operation to the graph.

create(Scope, Operand<T>, Class<U>, RandomNormal.Options...) - Static method in class org.tensorflow.op.core.RandomNormal

Factory method to create a class to wrap a new RandomNormal operation to the graph.

create(Scope, Operand<T>, Operand<U>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.core.RandomPoisson

Factory method to create a class to wrap a new RandomPoisson operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>, RandomPoissonV2.Options...) - Static method in class org.tensorflow.op.core.RandomPoissonV2

Factory method to create a class to wrap a new RandomPoissonV2 operation to the graph.

create(Scope, Operand<T>, RandomShuffle.Options...) - Static method in class org.tensorflow.op.core.RandomShuffle

Factory method to create a class to wrap a new RandomShuffle operation to the graph.

create(Scope, List<Class<?>>, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

Factory method to create a class to wrap a new RandomShuffleQueue operation to the graph.

create(Scope, Operand<T>, Class<U>, RandomUniform.Options...) - Static method in class org.tensorflow.op.core.RandomUniform

Factory method to create a class to wrap a new RandomUniform operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.core.RandomUniformInt

Factory method to create a class to wrap a new RandomUniformInt operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Range

Factory method to create a class to wrap a new Range operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.RangeDataset

Factory method to create a class to wrap a new RangeDataset operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Rank

Factory method to create a class to wrap a new Rank operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ReaderNumRecordsProduced

Factory method to create a class to wrap a new ReaderNumRecordsProduced operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ReaderNumWorkUnitsCompleted

Factory method to create a class to wrap a new ReaderNumWorkUnitsCompleted operation to the graph.

create(Scope, Operand<?>, Operand<?>) - Static method in class org.tensorflow.op.core.ReaderRead

Factory method to create a class to wrap a new ReaderRead operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<Long>) - Static method in class org.tensorflow.op.core.ReaderReadUpTo

Factory method to create a class to wrap a new ReaderReadUpTo operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ReaderReset

Factory method to create a class to wrap a new ReaderReset operation to the graph.

create(Scope, Operand<?>, Operand<String>) - Static method in class org.tensorflow.op.core.ReaderRestoreState

Factory method to create a class to wrap a new ReaderRestoreState operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.ReaderSerializeState

Factory method to create a class to wrap a new ReaderSerializeState operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.ReadFile

Factory method to create a class to wrap a new ReadFile operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.ReadVariableOp

Factory method to create a class to wrap a new ReadVariableOp operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Real

Factory method to create a class to wrap a new Real operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RealDiv

Factory method to create a class to wrap a new RealDiv operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Reciprocal

Factory method to create a class to wrap a new Reciprocal operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ReciprocalGrad

Factory method to create a class to wrap a new ReciprocalGrad operation to the graph.

create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.core.RecordInput

Factory method to create a class to wrap a new RecordInput operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll

Factory method to create a class to wrap a new ReduceAll operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny

Factory method to create a class to wrap a new ReduceAny operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Static method in class org.tensorflow.op.core.ReduceJoin

Factory method to create a class to wrap a new ReduceJoin operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax

Factory method to create a class to wrap a new ReduceMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceMean.Options...) - Static method in class org.tensorflow.op.core.ReduceMean

Factory method to create a class to wrap a new ReduceMean operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin

Factory method to create a class to wrap a new ReduceMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd

Factory method to create a class to wrap a new ReduceProd operation to the graph.

create(Scope, Operand<T>, Operand<U>, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum

Factory method to create a class to wrap a new ReduceSum operation to the graph.

create(Scope, Operand<T>, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter

Factory method to create a class to wrap a new RefEnter operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefExit

Factory method to create a class to wrap a new RefExit operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefIdentity

Factory method to create a class to wrap a new RefIdentity operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefMerge

Factory method to create a class to wrap a new RefMerge operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefNextIteration

Factory method to create a class to wrap a new RefNextIteration operation to the graph.

create(Scope, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.RefSelect

Factory method to create a class to wrap a new RefSelect operation to the graph.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.RefSwitch

Factory method to create a class to wrap a new RefSwitch operation to the graph.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.RegexFullMatch

Factory method to create a class to wrap a new RegexFullMatch operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, RegexReplace.Options...) - Static method in class org.tensorflow.op.core.RegexReplace

Factory method to create a class to wrap a new RegexReplace operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Relu

Factory method to create a class to wrap a new Relu operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Relu6

Factory method to create a class to wrap a new Relu6 operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Relu6Grad

Factory method to create a class to wrap a new Relu6Grad operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ReluGrad

Factory method to create a class to wrap a new ReluGrad operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, String) - Static method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Factory method to create a class to wrap a new RemoteFusedGraphExecute operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.RepeatDataset

Factory method to create a class to wrap a new RepeatDataset operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>) - Static method in class org.tensorflow.op.core.RequantizationRange

Factory method to create a class to wrap a new RequantizationRange operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Static method in class org.tensorflow.op.core.Requantize

Factory method to create a class to wrap a new Requantize operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reshape

Factory method to create a class to wrap a new Reshape operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeArea.Options...) - Static method in class org.tensorflow.op.core.ResizeArea

Factory method to create a class to wrap a new ResizeArea operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.core.ResizeBicubic

Factory method to create a class to wrap a new ResizeBicubic operation to the graph.

create(Scope, Operand<Float>, Operand<T>, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.core.ResizeBicubicGrad

Factory method to create a class to wrap a new ResizeBicubicGrad operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.core.ResizeBilinear

Factory method to create a class to wrap a new ResizeBilinear operation to the graph.

create(Scope, Operand<Float>, Operand<T>, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.core.ResizeBilinearGrad

Factory method to create a class to wrap a new ResizeBilinearGrad operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.core.ResizeNearestNeighbor

Factory method to create a class to wrap a new ResizeNearestNeighbor operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.core.ResizeNearestNeighborGrad

Factory method to create a class to wrap a new ResizeNearestNeighborGrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdadelta

Factory method to create a class to wrap a new ResourceApplyAdadelta operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdagrad

Factory method to create a class to wrap a new ResourceApplyAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceApplyAdagradDA.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdagradDA

Factory method to create a class to wrap a new ResourceApplyAdagradDA operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdam

Factory method to create a class to wrap a new ResourceApplyAdam operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdaMax.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAdaMax

Factory method to create a class to wrap a new ResourceApplyAdaMax operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyAddSign

Factory method to create a class to wrap a new ResourceApplyAddSign operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRMSProp.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyCenteredRMSProp

Factory method to create a class to wrap a new ResourceApplyCenteredRMSProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyFtrl

Factory method to create a class to wrap a new ResourceApplyFtrl operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrlV2.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyFtrlV2

Factory method to create a class to wrap a new ResourceApplyFtrlV2 operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyGradientDescent

Factory method to create a class to wrap a new ResourceApplyGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyMomentum

Factory method to create a class to wrap a new ResourceApplyMomentum operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyPowerSign

Factory method to create a class to wrap a new ResourceApplyPowerSign operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyProximalAdagrad

Factory method to create a class to wrap a new ResourceApplyProximalAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyProximalGradientDescent

Factory method to create a class to wrap a new ResourceApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRMSProp.Options...) - Static method in class org.tensorflow.op.core.ResourceApplyRMSProp

Factory method to create a class to wrap a new ResourceApplyRMSProp operation to the graph.

create(Scope, Operand<?>, Long, Class<T>) - Static method in class org.tensorflow.op.core.ResourceCountUpTo

Factory method to create a class to wrap a new ResourceCountUpTo operation to the graph.

create(Scope, Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather

Factory method to create a class to wrap a new ResourceGather operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterAdd

Factory method to create a class to wrap a new ResourceScatterAdd operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterDiv

Factory method to create a class to wrap a new ResourceScatterDiv operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMax

Factory method to create a class to wrap a new ResourceScatterMax operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMin

Factory method to create a class to wrap a new ResourceScatterMin operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterMul

Factory method to create a class to wrap a new ResourceScatterMul operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd

Factory method to create a class to wrap a new ResourceScatterNdAdd operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate

Factory method to create a class to wrap a new ResourceScatterNdUpdate operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterSub

Factory method to create a class to wrap a new ResourceScatterSub operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate

Factory method to create a class to wrap a new ResourceScatterUpdate operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdadelta

Factory method to create a class to wrap a new ResourceSparseApplyAdadelta operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdagrad

Factory method to create a class to wrap a new ResourceSparseApplyAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, ResourceSparseApplyAdagradDA.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdagradDA

Factory method to create a class to wrap a new ResourceSparseApplyAdagradDA operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyCenteredRMSProp.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyCenteredRMSProp

Factory method to create a class to wrap a new ResourceSparseApplyCenteredRMSProp operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyFtrl

Factory method to create a class to wrap a new ResourceSparseApplyFtrl operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrlV2.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyFtrlV2

Factory method to create a class to wrap a new ResourceSparseApplyFtrlV2 operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyMomentum

Factory method to create a class to wrap a new ResourceSparseApplyMomentum operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyProximalAdagrad

Factory method to create a class to wrap a new ResourceSparseApplyProximalAdagrad operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyProximalGradientDescent

Factory method to create a class to wrap a new ResourceSparseApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceSparseApplyRMSProp.Options...) - Static method in class org.tensorflow.op.core.ResourceSparseApplyRMSProp

Factory method to create a class to wrap a new ResourceSparseApplyRMSProp operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, ResourceStridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

Factory method to create a class to wrap a new ResourceStridedSliceAssign operation to the graph.

create(Scope, Operand<String>, Operand<String>, Class<T>, Restore.Options...) - Static method in class org.tensorflow.op.core.Restore

Factory method to create a class to wrap a new Restore operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Class<T>, RestoreSlice.Options...) - Static method in class org.tensorflow.op.core.RestoreSlice

Factory method to create a class to wrap a new RestoreSlice operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, List<Class<?>>) - Static method in class org.tensorflow.op.core.RestoreV2

Factory method to create a class to wrap a new RestoreV2 operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Reverse

Factory method to create a class to wrap a new Reverse operation to the graph.

create(Scope, Operand<T>, Operand<U>, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence

Factory method to create a class to wrap a new ReverseSequence operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.core.RFFT

Factory method to create a class to wrap a new RFFT operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.core.RFFT2D

Factory method to create a class to wrap a new RFFT2D operation to the graph.

create(Scope, Operand<Float>, Operand<Integer>) - Static method in class org.tensorflow.op.core.RFFT3D

Factory method to create a class to wrap a new RFFT3D operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RGBToHSV

Factory method to create a class to wrap a new RGBToHSV operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RightShift

Factory method to create a class to wrap a new RightShift operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Rint

Factory method to create a class to wrap a new Rint operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.Roll

Factory method to create a class to wrap a new Roll operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Round

Factory method to create a class to wrap a new Round operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Rpc.Options...) - Static method in class org.tensorflow.op.core.Rpc

Factory method to create a class to wrap a new Rpc operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Rsqrt

Factory method to create a class to wrap a new Rsqrt operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.RsqrtGrad

Factory method to create a class to wrap a new RsqrtGrad operation to the graph.

create(Scope, Operand<T>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

Factory method to create a class to wrap a new SampleDistortedBoundingBox operation to the graph.

create(Scope, Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBoxV2.Options...) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

Factory method to create a class to wrap a new SampleDistortedBoundingBoxV2 operation to the graph.

create(Scope, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.Save

Factory method to create a class to wrap a new Save operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.SaveSlices

Factory method to create a class to wrap a new SaveSlices operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.SaveV2

Factory method to create a class to wrap a new SaveV2 operation to the graph.

create(Scope, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.core.ScalarSummary

Factory method to create a class to wrap a new ScalarSummary operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterAdd

Factory method to create a class to wrap a new ScatterAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterDiv.Options...) - Static method in class org.tensorflow.op.core.ScatterDiv

Factory method to create a class to wrap a new ScatterDiv operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMax.Options...) - Static method in class org.tensorflow.op.core.ScatterMax

Factory method to create a class to wrap a new ScatterMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMin.Options...) - Static method in class org.tensorflow.op.core.ScatterMin

Factory method to create a class to wrap a new ScatterMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterMul.Options...) - Static method in class org.tensorflow.op.core.ScatterMul

Factory method to create a class to wrap a new ScatterMul operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNd

Factory method to create a class to wrap a new ScatterNd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd

Factory method to create a class to wrap a new ScatterNdAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

Factory method to create a class to wrap a new ScatterNdNonAliasingAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub

Factory method to create a class to wrap a new ScatterNdSub operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate

Factory method to create a class to wrap a new ScatterNdUpdate operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub

Factory method to create a class to wrap a new ScatterSub operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate

Factory method to create a class to wrap a new ScatterUpdate operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.SdcaFprint

Factory method to create a class to wrap a new SdcaFprint operation to the graph.

create(Scope, Iterable<Operand<Long>>, Iterable<Operand<Long>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Float>, Operand<Float>, Iterable<Operand<Long>>, Iterable<Operand<Float>>, Iterable<Operand<Float>>, Operand<Float>, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Static method in class org.tensorflow.op.core.SdcaOptimizer

Factory method to create a class to wrap a new SdcaOptimizer operation to the graph.

create(Scope, Iterable<Operand<Float>>, Float, Float) - Static method in class org.tensorflow.op.core.SdcaShrinkL1

Factory method to create a class to wrap a new SdcaShrinkL1 operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SegmentMax

Factory method to create a class to wrap a new SegmentMax operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SegmentMean

Factory method to create a class to wrap a new SegmentMean operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SegmentMin

Factory method to create a class to wrap a new SegmentMin operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SegmentProd

Factory method to create a class to wrap a new SegmentProd operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SegmentSum

Factory method to create a class to wrap a new SegmentSum operation to the graph.

create(Scope, Operand<T>, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.core.SelfAdjointEig

Factory method to create a class to wrap a new SelfAdjointEig operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Selu

Factory method to create a class to wrap a new Selu operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SeluGrad

Factory method to create a class to wrap a new SeluGrad operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.SerializeIterator

Factory method to create a class to wrap a new SerializeIterator operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Static method in class org.tensorflow.op.core.SerializeManySparse

Factory method to create a class to wrap a new SerializeManySparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Static method in class org.tensorflow.op.core.SerializeSparse

Factory method to create a class to wrap a new SerializeSparse operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.SerializeTensor

Factory method to create a class to wrap a new SerializeTensor operation to the graph.

create(Scope, Operand<T>, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.SetDiff1D

Factory method to create a class to wrap a new SetDiff1D operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, SetSize.Options...) - Static method in class org.tensorflow.op.core.SetSize

Factory method to create a class to wrap a new SetSize operation to the graph.

create(Scope, Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SetStatsAggregatorDataset

Factory method to create a class to wrap a new SetStatsAggregatorDataset operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Shape

Factory method to create a class to wrap a new Shape operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.ShapeN

Factory method to create a class to wrap a new ShapeN operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.core.ShardedFilename

Factory method to create a class to wrap a new ShardedFilename operation to the graph.

create(Scope, Operand<String>, Operand<Integer>) - Static method in class org.tensorflow.op.core.ShardedFilespec

Factory method to create a class to wrap a new ShardedFilespec operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ShuffleAndRepeatDataset

Factory method to create a class to wrap a new ShuffleAndRepeatDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>, ShuffleDataset.Options...) - Static method in class org.tensorflow.op.core.ShuffleDataset

Factory method to create a class to wrap a new ShuffleDataset operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Sigmoid

Factory method to create a class to wrap a new Sigmoid operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SigmoidGrad

Factory method to create a class to wrap a new SigmoidGrad operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Sign

Factory method to create a class to wrap a new Sign operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Sin

Factory method to create a class to wrap a new Sin operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Sinh

Factory method to create a class to wrap a new Sinh operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.SinkDataset

Factory method to create a class to wrap a new SinkDataset operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Size

Factory method to create a class to wrap a new Size operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SkipDataset

Factory method to create a class to wrap a new SkipDataset operation to the graph.

create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram

Factory method to create a class to wrap a new Skipgram operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>) - Static method in class org.tensorflow.op.core.Slice

Factory method to create a class to wrap a new Slice operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SlideDataset

Factory method to create a class to wrap a new SlideDataset operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Snapshot

Factory method to create a class to wrap a new Snapshot operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Softmax

Factory method to create a class to wrap a new Softmax operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SoftmaxCrossEntropyWithLogits

Factory method to create a class to wrap a new SoftmaxCrossEntropyWithLogits operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Softplus

Factory method to create a class to wrap a new Softplus operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SoftplusGrad

Factory method to create a class to wrap a new SoftplusGrad operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Softsign

Factory method to create a class to wrap a new Softsign operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SoftsignGrad

Factory method to create a class to wrap a new SoftsignGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Long) - Static method in class org.tensorflow.op.core.SpaceToBatch

Factory method to create a class to wrap a new SpaceToBatch operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.SpaceToBatchND

Factory method to create a class to wrap a new SpaceToBatchND operation to the graph.

create(Scope, Operand<T>, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.core.SpaceToDepth

Factory method to create a class to wrap a new SpaceToDepth operation to the graph.

create(Scope, Operand<String>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Boolean) - Static method in class org.tensorflow.op.core.SparseAccumulatorApplyGradient

Factory method to create a class to wrap a new SparseAccumulatorApplyGradient operation to the graph.

create(Scope, Operand<String>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.SparseAccumulatorTakeGradient

Factory method to create a class to wrap a new SparseAccumulatorTakeGradient operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Operand<U>) - Static method in class org.tensorflow.op.core.SparseAdd

Factory method to create a class to wrap a new SparseAdd operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseAddGrad

Factory method to create a class to wrap a new SparseAddGrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.core.SparseApplyAdadelta

Factory method to create a class to wrap a new SparseApplyAdadelta operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.core.SparseApplyAdagrad

Factory method to create a class to wrap a new SparseApplyAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<Long>, SparseApplyAdagradDA.Options...) - Static method in class org.tensorflow.op.core.SparseApplyAdagradDA

Factory method to create a class to wrap a new SparseApplyAdagradDA operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyCenteredRMSProp.Options...) - Static method in class org.tensorflow.op.core.SparseApplyCenteredRMSProp

Factory method to create a class to wrap a new SparseApplyCenteredRMSProp operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.core.SparseApplyFtrl

Factory method to create a class to wrap a new SparseApplyFtrl operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrlV2.Options...) - Static method in class org.tensorflow.op.core.SparseApplyFtrlV2

Factory method to create a class to wrap a new SparseApplyFtrlV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, SparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.core.SparseApplyMomentum

Factory method to create a class to wrap a new SparseApplyMomentum operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.core.SparseApplyProximalAdagrad

Factory method to create a class to wrap a new SparseApplyProximalAdagrad operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.core.SparseApplyProximalGradientDescent

Factory method to create a class to wrap a new SparseApplyProximalGradientDescent operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, SparseApplyRMSProp.Options...) - Static method in class org.tensorflow.op.core.SparseApplyRMSProp

Factory method to create a class to wrap a new SparseApplyRMSProp operation to the graph.

create(Scope, Iterable<Operand<Long>>, Operand<T>, Iterable<Operand<Long>>, Long) - Static method in class org.tensorflow.op.core.SparseConcat

Factory method to create a class to wrap a new SparseConcat operation to the graph.

create(Scope, Class<T>, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.core.SparseConditionalAccumulator

Factory method to create a class to wrap a new SparseConditionalAccumulator operation to the graph.

create(Scope, Iterable<Operand<Long>>, Iterable<Operand<?>>, Iterable<Operand<Long>>, Iterable<Operand<?>>, Boolean, Long, Long, Class<T>, Class<U>) - Static method in class org.tensorflow.op.core.SparseCross

Factory method to create a class to wrap a new SparseCross operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.SparseDenseCwiseAdd

Factory method to create a class to wrap a new SparseDenseCwiseAdd operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.SparseDenseCwiseDiv

Factory method to create a class to wrap a new SparseDenseCwiseDiv operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.SparseDenseCwiseMul

Factory method to create a class to wrap a new SparseDenseCwiseMul operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.SparseFillEmptyRows

Factory method to create a class to wrap a new SparseFillEmptyRows operation to the graph.

create(Scope, Operand<Long>, Operand<T>) - Static method in class org.tensorflow.op.core.SparseFillEmptyRowsGrad

Factory method to create a class to wrap a new SparseFillEmptyRowsGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, SparseMatMul.Options...) - Static method in class org.tensorflow.op.core.SparseMatMul

Factory method to create a class to wrap a new SparseMatMul operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.core.SparseReduceMax

Factory method to create a class to wrap a new SparseReduceMax operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.core.SparseReduceMaxSparse

Factory method to create a class to wrap a new SparseReduceMaxSparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.core.SparseReduceSum

Factory method to create a class to wrap a new SparseReduceSum operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Integer>, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.core.SparseReduceSumSparse

Factory method to create a class to wrap a new SparseReduceSumSparse operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseReorder

Factory method to create a class to wrap a new SparseReorder operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseReshape

Factory method to create a class to wrap a new SparseReshape operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.core.SparseSegmentMean

Factory method to create a class to wrap a new SparseSegmentMean operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.core.SparseSegmentMeanGrad

Factory method to create a class to wrap a new SparseSegmentMeanGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.core.SparseSegmentMeanWithNumSegments

Factory method to create a class to wrap a new SparseSegmentMeanWithNumSegments operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.core.SparseSegmentSqrtN

Factory method to create a class to wrap a new SparseSegmentSqrtN operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Static method in class org.tensorflow.op.core.SparseSegmentSqrtNGrad

Factory method to create a class to wrap a new SparseSegmentSqrtNGrad operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.core.SparseSegmentSqrtNWithNumSegments

Factory method to create a class to wrap a new SparseSegmentSqrtNWithNumSegments operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>) - Static method in class org.tensorflow.op.core.SparseSegmentSum

Factory method to create a class to wrap a new SparseSegmentSum operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Static method in class org.tensorflow.op.core.SparseSegmentSumWithNumSegments

Factory method to create a class to wrap a new SparseSegmentSumWithNumSegments operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseSlice

Factory method to create a class to wrap a new SparseSlice operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseSliceGrad

Factory method to create a class to wrap a new SparseSliceGrad operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseSoftmax

Factory method to create a class to wrap a new SparseSoftmax operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SparseSoftmaxCrossEntropyWithLogits

Factory method to create a class to wrap a new SparseSoftmaxCrossEntropyWithLogits operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseSparseMaximum

Factory method to create a class to wrap a new SparseSparseMaximum operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseSparseMinimum

Factory method to create a class to wrap a new SparseSparseMinimum operation to the graph.

create(Scope, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, Long) - Static method in class org.tensorflow.op.core.SparseSplit

Factory method to create a class to wrap a new SparseSplit operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.SparseTensorDenseAdd

Factory method to create a class to wrap a new SparseTensorDenseAdd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Long>, Operand<U>, SparseTensorDenseMatMul.Options...) - Static method in class org.tensorflow.op.core.SparseTensorDenseMatMul

Factory method to create a class to wrap a new SparseTensorDenseMatMul operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>) - Static method in class org.tensorflow.op.core.SparseTensorSliceDataset

Factory method to create a class to wrap a new SparseTensorSliceDataset operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<U>, Operand<U>, SparseToDense.Options...) - Static method in class org.tensorflow.op.core.SparseToDense

Factory method to create a class to wrap a new SparseToDense operation to the graph.

create(Scope, Operand<Long>, Operand<T>, Operand<Long>, Operand<Long>, Operand<T>, Operand<Long>, String, SparseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.core.SparseToSparseSetOperation

Factory method to create a class to wrap a new SparseToSparseSetOperation operation to the graph.

create(Scope, Operand<Integer>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.Split

Factory method to create a class to wrap a new Split operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<Integer>, Long) - Static method in class org.tensorflow.op.core.SplitV

Factory method to create a class to wrap a new SplitV operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.SqlDataset

Factory method to create a class to wrap a new SqlDataset operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Sqrt

Factory method to create a class to wrap a new Sqrt operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SqrtGrad

Factory method to create a class to wrap a new SqrtGrad operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Square

Factory method to create a class to wrap a new Square operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SquaredDifference

Factory method to create a class to wrap a new SquaredDifference operation to the graph.

create(Scope, Operand<T>, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze

Factory method to create a class to wrap a new Squeeze operation to the graph.

create(Scope, Operand<T>, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack

Factory method to create a class to wrap a new Stack operation to the graph.

create(Scope, Iterable<Operand<?>>, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage

Factory method to create a class to wrap a new Stage operation to the graph.

create(Scope, List<Class<?>>, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear

Factory method to create a class to wrap a new StageClear operation to the graph.

create(Scope, Operand<Integer>, List<Class<?>>, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek

Factory method to create a class to wrap a new StagePeek operation to the graph.

create(Scope, List<Class<?>>, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize

Factory method to create a class to wrap a new StageSize operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.StatelessMultinomial

Factory method to create a class to wrap a new StatelessMultinomial operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.StatelessRandomNormal

Factory method to create a class to wrap a new StatelessRandomNormal operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.StatelessRandomUniform

Factory method to create a class to wrap a new StatelessRandomUniform operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.StatelessTruncatedNormal

Factory method to create a class to wrap a new StatelessTruncatedNormal operation to the graph.

create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.core.StatsAggregatorHandle

Factory method to create a class to wrap a new StatsAggregatorHandle operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.StatsAggregatorSummary

Factory method to create a class to wrap a new StatsAggregatorSummary operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.StopGradient

Factory method to create a class to wrap a new StopGradient operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice

Factory method to create a class to wrap a new StridedSlice operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<T>, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign

Factory method to create a class to wrap a new StridedSliceAssign operation to the graph.

create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad

Factory method to create a class to wrap a new StridedSliceGrad operation to the graph.

create(Scope, Iterable<Operand<String>>, StringJoin.Options...) - Static method in class org.tensorflow.op.core.StringJoin

Factory method to create a class to wrap a new StringJoin operation to the graph.

create(Scope, Operand<String>, Operand<String>, StringSplit.Options...) - Static method in class org.tensorflow.op.core.StringSplit

Factory method to create a class to wrap a new StringSplit operation to the graph.

create(Scope, Operand<String>, Operand<String>, StringSplitV2.Options...) - Static method in class org.tensorflow.op.core.StringSplitV2

Factory method to create a class to wrap a new StringSplitV2 operation to the graph.

create(Scope, Operand<String>) - Static method in class org.tensorflow.op.core.StringStrip

Factory method to create a class to wrap a new StringStrip operation to the graph.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.core.StringToHashBucket

Factory method to create a class to wrap a new StringToHashBucket operation to the graph.

create(Scope, Operand<String>, Long) - Static method in class org.tensorflow.op.core.StringToHashBucketFast

Factory method to create a class to wrap a new StringToHashBucketFast operation to the graph.

create(Scope, Operand<String>, Long, List<Long>) - Static method in class org.tensorflow.op.core.StringToHashBucketStrong

Factory method to create a class to wrap a new StringToHashBucketStrong operation to the graph.

create(Scope, Operand<String>, Class<T>) - Static method in class org.tensorflow.op.core.StringToNumber

Factory method to create a class to wrap a new StringToNumber operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Sub

Factory method to create a class to wrap a new Sub operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Substr

Factory method to create a class to wrap a new Substr operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Subtract

Factory method to create a class to wrap a new Subtract operation to the graph.

create(Scope, Operand<T>, Operand<U>, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum

Factory method to create a class to wrap a new Sum operation to the graph.

create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.core.SummaryWriter

Factory method to create a class to wrap a new SummaryWriter operation to the graph.

create(Scope, Operand<T>, Svd.Options...) - Static method in class org.tensorflow.op.core.Svd

Factory method to create a class to wrap a new Svd operation to the graph.

create(Scope, Operand<T>, Operand<Boolean>) - Static method in class org.tensorflow.op.core.Switch

Factory method to create a class to wrap a new Switch operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.TakeDataset

Factory method to create a class to wrap a new TakeDataset operation to the graph.

create(Scope, Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

Factory method to create a class to wrap a new TakeManySparseFromTensorsMap operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Tan

Factory method to create a class to wrap a new Tan operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Tanh

Factory method to create a class to wrap a new Tanh operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.TanhGrad

Factory method to create a class to wrap a new TanhGrad operation to the graph.

create(Scope, Shape, Class<T>, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable

Factory method to create a class to wrap a new TemporaryVariable operation to the graph.

create(Scope, Operand<Integer>, Class<T>, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray

Factory method to create a class to wrap a new TensorArray operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorArrayClose

Factory method to create a class to wrap a new TensorArrayClose operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Class<T>, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat

Factory method to create a class to wrap a new TensorArrayConcat operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Float>, Class<T>, TensorArrayGather.Options...) - Static method in class org.tensorflow.op.core.TensorArrayGather

Factory method to create a class to wrap a new TensorArrayGather operation to the graph.

create(Scope, Operand<?>, Operand<Float>, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad

Factory method to create a class to wrap a new TensorArrayGrad operation to the graph.

create(Scope, Operand<?>, Operand<Float>, Operand<Integer>, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape

Factory method to create a class to wrap a new TensorArrayGradWithShape operation to the graph.

create(Scope, Operand<String>, Operand<Float>, Class<T>, TensorArrayPack.Options...) - Static method in class org.tensorflow.op.core.TensorArrayPack

Factory method to create a class to wrap a new TensorArrayPack operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<Float>, Class<T>) - Static method in class org.tensorflow.op.core.TensorArrayRead

Factory method to create a class to wrap a new TensorArrayRead operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayScatter

Factory method to create a class to wrap a new TensorArrayScatter operation to the graph.

create(Scope, Operand<?>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySize

Factory method to create a class to wrap a new TensorArraySize operation to the graph.

create(Scope, Operand<?>, Operand<T>, Operand<Long>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArraySplit

Factory method to create a class to wrap a new TensorArraySplit operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayUnpack

Factory method to create a class to wrap a new TensorArrayUnpack operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>, Operand<Float>) - Static method in class org.tensorflow.op.core.TensorArrayWrite

Factory method to create a class to wrap a new TensorArrayWrite operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.TensorDataset

Factory method to create a class to wrap a new TensorDataset operation to the graph.

create(Scope, Operand<?>, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListConcatLists

Factory method to create a class to wrap a new TensorListConcatLists operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListElementShape

Factory method to create a class to wrap a new TensorListElementShape operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.TensorListFromTensor

Factory method to create a class to wrap a new TensorListFromTensor operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGetItem

Factory method to create a class to wrap a new TensorListGetItem operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.TensorListLength

Factory method to create a class to wrap a new TensorListLength operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListPopBack

Factory method to create a class to wrap a new TensorListPopBack operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBack

Factory method to create a class to wrap a new TensorListPushBack operation to the graph.

create(Scope, Operand<?>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch

Factory method to create a class to wrap a new TensorListPushBackBatch operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, Class<U>) - Static method in class org.tensorflow.op.core.TensorListReserve

Factory method to create a class to wrap a new TensorListReserve operation to the graph.

create(Scope, Operand<?>, Operand<Integer>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorListSetItem

Factory method to create a class to wrap a new TensorListSetItem operation to the graph.

create(Scope, Operand<?>, Class<T>, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack

Factory method to create a class to wrap a new TensorListStack operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.TensorSliceDataset

Factory method to create a class to wrap a new TensorSliceDataset operation to the graph.

create(Scope, Operand<T>, TensorSummary.Options...) - Static method in class org.tensorflow.op.core.TensorSummary

Factory method to create a class to wrap a new TensorSummary operation to the graph.

create(Scope, Operand<String>, Operand<T>, Operand<String>) - Static method in class org.tensorflow.op.core.TensorSummaryV2

Factory method to create a class to wrap a new TensorSummaryV2 operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.core.TextLineDataset

Factory method to create a class to wrap a new TextLineDataset operation to the graph.

create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.core.TextLineReader

Factory method to create a class to wrap a new TextLineReader operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<Long>) - Static method in class org.tensorflow.op.core.TFRecordDataset

Factory method to create a class to wrap a new TFRecordDataset operation to the graph.

create(Scope, TFRecordReader.Options...) - Static method in class org.tensorflow.op.core.TFRecordReader

Factory method to create a class to wrap a new TFRecordReader operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Tile

Factory method to create a class to wrap a new Tile operation to the graph.

create(Scope, Operand<T>, Operand<Integer>) - Static method in class org.tensorflow.op.core.TileGrad

Factory method to create a class to wrap a new TileGrad operation to the graph.

create(Scope) - Static method in class org.tensorflow.op.core.Timestamp

Factory method to create a class to wrap a new Timestamp operation to the graph.

create(Scope, Operand<T>, Operand<Integer>, TopK.Options...) - Static method in class org.tensorflow.op.core.TopK

Factory method to create a class to wrap a new TopK operation to the graph.

create(Scope, Operand<T>, Operand<U>) - Static method in class org.tensorflow.op.core.Transpose

Factory method to create a class to wrap a new Transpose operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.TruncateDiv

Factory method to create a class to wrap a new TruncateDiv operation to the graph.

create(Scope, Operand<T>, Class<U>, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.core.TruncatedNormal

Factory method to create a class to wrap a new TruncatedNormal operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.TruncateMod

Factory method to create a class to wrap a new TruncateMod operation to the graph.

create(Scope, Operand<String>, Operand<String>, Operand<String>, TryRpc.Options...) - Static method in class org.tensorflow.op.core.TryRpc

Factory method to create a class to wrap a new TryRpc operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<Long>, Long, Unbatch.Options...) - Static method in class org.tensorflow.op.core.Unbatch

Factory method to create a class to wrap a new Unbatch operation to the graph.

create(Scope, Operand<?>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.UnbatchDataset

Factory method to create a class to wrap a new UnbatchDataset operation to the graph.

create(Scope, Operand<T>, Operand<Long>, Operand<T>, Operand<Long>, UnbatchGrad.Options...) - Static method in class org.tensorflow.op.core.UnbatchGrad

Factory method to create a class to wrap a new UnbatchGrad operation to the graph.

create(Scope, Operand<Long>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.core.UniformCandidateSampler

Factory method to create a class to wrap a new UniformCandidateSampler operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.Unique

Factory method to create a class to wrap a new Unique operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueV2

Factory method to create a class to wrap a new UniqueV2 operation to the graph.

create(Scope, Operand<T>, Class<U>) - Static method in class org.tensorflow.op.core.UniqueWithCounts

Factory method to create a class to wrap a new UniqueWithCounts operation to the graph.

create(Scope, Operand<T>, Operand<U>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueWithCountsV2

Factory method to create a class to wrap a new UniqueWithCountsV2 operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UnravelIndex

Factory method to create a class to wrap a new UnravelIndex operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.UnsortedSegmentMax

Factory method to create a class to wrap a new UnsortedSegmentMax operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.UnsortedSegmentMin

Factory method to create a class to wrap a new UnsortedSegmentMin operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.UnsortedSegmentProd

Factory method to create a class to wrap a new UnsortedSegmentProd operation to the graph.

create(Scope, Operand<T>, Operand<U>, Operand<V>) - Static method in class org.tensorflow.op.core.UnsortedSegmentSum

Factory method to create a class to wrap a new UnsortedSegmentSum operation to the graph.

create(Scope, Operand<T>, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack

Factory method to create a class to wrap a new Unstack operation to the graph.

create(Scope, List<Class<?>>, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage

Factory method to create a class to wrap a new Unstage operation to the graph.

create(Scope, Class<T>, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp

Factory method to create a class to wrap a new VarHandleOp operation to the graph.

create(Scope, Shape, Class<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable

Factory method to create a class to wrap a new Variable operation to the graph.

create(Scope, Operand<?>, Class<T>) - Static method in class org.tensorflow.op.core.VariableShape

Factory method to create a class to wrap a new VariableShape operation to the graph.

create(Scope, Operand<?>) - Static method in class org.tensorflow.op.core.VarIsInitializedOp

Factory method to create a class to wrap a new VarIsInitializedOp operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Where

Factory method to create a class to wrap a new Where operation to the graph.

create(Scope, Operand<Boolean>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Where3

Factory method to create a class to wrap a new Where3 operation to the graph.

create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.core.WholeFileReader

Factory method to create a class to wrap a new WholeFileReader operation to the graph.

create(Scope, Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.WindowDataset

Factory method to create a class to wrap a new WindowDataset operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<Float>, Operand<Float>, WriteAudioSummary.Options...) - Static method in class org.tensorflow.op.core.WriteAudioSummary

Factory method to create a class to wrap a new WriteAudioSummary operation to the graph.

create(Scope, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.WriteFile

Factory method to create a class to wrap a new WriteFile operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>) - Static method in class org.tensorflow.op.core.WriteGraphSummary

Factory method to create a class to wrap a new WriteGraphSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.core.WriteHistogramSummary

Factory method to create a class to wrap a new WriteHistogramSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>, Operand<UInt8>, WriteImageSummary.Options...) - Static method in class org.tensorflow.op.core.WriteImageSummary

Factory method to create a class to wrap a new WriteImageSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<String>, Operand<T>) - Static method in class org.tensorflow.op.core.WriteScalarSummary

Factory method to create a class to wrap a new WriteScalarSummary operation to the graph.

create(Scope, Operand<?>, Operand<Long>, Operand<T>, Operand<String>, Operand<String>) - Static method in class org.tensorflow.op.core.WriteSummary

Factory method to create a class to wrap a new WriteSummary operation to the graph.

create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.ZerosLike

Factory method to create a class to wrap a new ZerosLike operation to the graph.

create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Zeta

Factory method to create a class to wrap a new Zeta operation to the graph.

create(Scope, Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Static method in class org.tensorflow.op.core.ZipDataset

Factory method to create a class to wrap a new ZipDataset operation to the graph.

create(Graph) - Static method in class org.tensorflow.op.Ops

Creates an API for adding operations to the provided graph

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.core

CreateSummaryFileWriter - Class in org.tensorflow.op.core

CropAndResize - Class in org.tensorflow.op.core

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.Ops

Adds an CropAndResize operation to the graph

CropAndResize.Options - Class in org.tensorflow.op.core

Optional attributes for CropAndResize

CropAndResizeGradBoxes - Class in org.tensorflow.op.core

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.Ops

Adds an CropAndResizeGradBoxes operation to the graph

CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.core

Optional attributes for CropAndResizeGradBoxes

CropAndResizeGradImage<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an CropAndResizeGradImage operation to the graph

CropAndResizeGradImage.Options - Class in org.tensorflow.op.core

Optional attributes for CropAndResizeGradImage

crops() - Method in class org.tensorflow.op.core.CropAndResize

A 4-D tensor of shape `[num_boxes, crop_height, crop_width, depth]`.

Cross<T extends Number> - Class in org.tensorflow.op.core

Compute the pairwise cross product.

cross(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Cross operation to the graph

CTCBeamSearchDecoder - Class in org.tensorflow.op.core

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.Ops

Adds an CTCBeamSearchDecoder operation to the graph

CTCBeamSearchDecoder.Options - Class in org.tensorflow.op.core

Optional attributes for CTCBeamSearchDecoder

CTCGreedyDecoder - Class in org.tensorflow.op.core

Performs greedy decoding on the logits given in inputs.

cTCGreedyDecoder(Operand<Float>, Operand<Integer>, CTCGreedyDecoder.Options...) - Method in class org.tensorflow.op.Ops

Adds an CTCGreedyDecoder operation to the graph

CTCGreedyDecoder.Options - Class in org.tensorflow.op.core

Optional attributes for CTCGreedyDecoder

CTCLoss - Class in org.tensorflow.op.core

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.Ops

Adds an CTCLoss operation to the graph

CTCLoss.Options - Class in org.tensorflow.op.core

Optional attributes for CTCLoss

ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.core.CTCLoss

ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.core.CTCLoss.Options

CudnnRNN<T extends Number> - Class in org.tensorflow.op.core

A RNN backed by cuDNN.

cudnnRNN(Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRNN.Options...) - Method in class org.tensorflow.op.Ops

Adds an CudnnRNN operation to the graph

CudnnRNN.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNN

CudnnRNNBackprop<T extends Number> - Class in org.tensorflow.op.core

Backprop step of CudnnRNN.

cudnnRNNBackprop(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, CudnnRNNBackprop.Options...) - Method in class org.tensorflow.op.Ops

Adds an CudnnRNNBackprop operation to the graph

CudnnRNNBackprop.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNBackprop

CudnnRNNBackpropV2<T extends Number> - Class in org.tensorflow.op.core

Backprop step of CudnnRNN.

CudnnRNNBackpropV2.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNBackpropV2

CudnnRNNCanonicalToParams<T extends Number> - Class in org.tensorflow.op.core

Converts CudnnRNN params from canonical form to usable form.

cudnnRNNCanonicalToParams(Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Method in class org.tensorflow.op.Ops

Adds an CudnnRNNCanonicalToParams operation to the graph

CudnnRNNCanonicalToParams.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNCanonicalToParams

CudnnRNNParamsSize<U extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an CudnnRNNParamsSize operation to the graph

CudnnRNNParamsSize.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNParamsSize

CudnnRNNParamsToCanonical<T extends Number> - Class in org.tensorflow.op.core

Retrieves CudnnRNN params in canonical form.

cudnnRNNParamsToCanonical(Operand<Integer>, Operand<Integer>, Operand<Integer>, Operand<T>, Long, CudnnRNNParamsToCanonical.Options...) - Method in class org.tensorflow.op.Ops

Adds an CudnnRNNParamsToCanonical operation to the graph

CudnnRNNParamsToCanonical.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNParamsToCanonical

CudnnRNNV2<T extends Number> - Class in org.tensorflow.op.core

A RNN backed by cuDNN.

CudnnRNNV2.Options - Class in org.tensorflow.op.core

Optional attributes for CudnnRNNV2

Cumprod<T> - Class in org.tensorflow.op.core

Compute the cumulative product of the tensor `x` along `axis`.

cumprod(Operand<T>, Operand<U>, Cumprod.Options...) - Method in class org.tensorflow.op.Ops

Adds an Cumprod operation to the graph

Cumprod.Options - Class in org.tensorflow.op.core

Optional attributes for Cumprod

Cumsum<T> - Class in org.tensorflow.op.core

Compute the cumulative sum of the tensor `x` along `axis`.

cumsum(Operand<T>, Operand<U>, Cumsum.Options...) - Method in class org.tensorflow.op.Ops

Adds an Cumsum operation to the graph

Cumsum.Options - Class in org.tensorflow.op.core

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.core.CollectiveBcastRecv

data() - Method in class org.tensorflow.op.core.CollectiveBcastSend

data() - Method in class org.tensorflow.op.core.CollectiveReduce

dataFormat(String) - Static method in class org.tensorflow.op.core.AvgPool

dataFormat(String) - Method in class org.tensorflow.op.core.AvgPool.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.AvgPool3D

dataFormat(String) - Method in class org.tensorflow.op.core.AvgPool3D.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.AvgPool3DGrad

dataFormat(String) - Method in class org.tensorflow.op.core.AvgPool3DGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.AvgPoolGrad

dataFormat(String) - Method in class org.tensorflow.op.core.AvgPoolGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.BiasAdd

dataFormat(String) - Method in class org.tensorflow.op.core.BiasAdd.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.BiasAddGrad

dataFormat(String) - Method in class org.tensorflow.op.core.BiasAddGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv2D

dataFormat(String) - Method in class org.tensorflow.op.core.Conv2D.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv2DBackpropFilter

dataFormat(String) - Method in class org.tensorflow.op.core.Conv2DBackpropFilter.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv2DBackpropInput

dataFormat(String) - Method in class org.tensorflow.op.core.Conv2DBackpropInput.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv3D

dataFormat(String) - Method in class org.tensorflow.op.core.Conv3D.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv3DBackpropFilterV2

dataFormat(String) - Method in class org.tensorflow.op.core.Conv3DBackpropFilterV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.Conv3DBackpropInputV2

dataFormat(String) - Method in class org.tensorflow.op.core.Conv3DBackpropInputV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.DepthToSpace

dataFormat(String) - Method in class org.tensorflow.op.core.DepthToSpace.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNative

dataFormat(String) - Method in class org.tensorflow.op.core.DepthwiseConv2dNative.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter

dataFormat(String) - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput

dataFormat(String) - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNorm

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNorm.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNormGrad

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNormGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV2

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNormGradV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.FusedBatchNormV2

dataFormat(String) - Method in class org.tensorflow.op.core.FusedBatchNormV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPool

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPool.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPool3D

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPool3D.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPool3DGrad

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPool3DGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPool3DGradGrad

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPool3DGradGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPoolGrad

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPoolGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPoolGradGrad

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPoolGradGrad.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPoolGradGradV2

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPoolGradGradV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPoolGradV2

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPoolGradV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.MaxPoolV2

dataFormat(String) - Method in class org.tensorflow.op.core.MaxPoolV2.Options

dataFormat(String) - Static method in class org.tensorflow.op.core.SpaceToDepth

dataFormat(String) - Method in class org.tensorflow.op.core.SpaceToDepth.Options

DataFormatDimMap<T extends Number> - Class in org.tensorflow.op.core

Returns the dimension index in the destination data format given the one in

dataFormatDimMap(Operand<T>, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.Ops

Adds an DataFormatDimMap operation to the graph

DataFormatDimMap.Options - Class in org.tensorflow.op.core

Optional attributes for DataFormatDimMap

DataFormatVecPermute<T extends Number> - Class in org.tensorflow.op.core

Returns the permuted vector/tensor in the destination data format given the

dataFormatVecPermute(Operand<T>, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.Ops

Adds an DataFormatVecPermute operation to the graph

DataFormatVecPermute.Options - Class in org.tensorflow.op.core

Optional attributes for DataFormatVecPermute

DatasetToGraph - Class in org.tensorflow.op.core

Returns a serialized GraphDef representing `input_dataset`.

DatasetToSingleElement - Class in org.tensorflow.op.core

Outputs the single element from the given dataset.

datasetToSingleElement(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an DatasetToSingleElement operation to the graph

DatasetToTFRecord - Class in org.tensorflow.op.core

Writes the given dataset to the given file using the TFRecord format.

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.

dataType(Class<? extends TFType>) - Static method in class org.tensorflow.types.Types

Returns the DataType value corresponding to a TensorFlow type class.

db() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for beta.

dctCoefficientCount(Long) - Static method in class org.tensorflow.op.core.Mfcc

dctCoefficientCount(Long) - Method in class org.tensorflow.op.core.Mfcc.Options

dctMethod(String) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

dctMethod(String) - Method in class org.tensorflow.op.core.DecodeAndCropJpeg.Options

dctMethod(String) - Static method in class org.tensorflow.op.core.DecodeJpeg

dctMethod(String) - Method in class org.tensorflow.op.core.DecodeJpeg.Options

dDefaultValue() - Method in class org.tensorflow.op.core.SparseFillEmptyRowsGrad

0-D.

DebugGradientIdentity<T> - Class in org.tensorflow.op.core

Identity op for gradient debugging.

debugGradientIdentity(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DebugGradientIdentity operation to the graph

DebugGradientRefIdentity<T> - Class in org.tensorflow.op.core

Identity op for gradient debugging.

debugGradientRefIdentity(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DebugGradientRefIdentity operation to the graph

DecodeAndCropJpeg - Class in org.tensorflow.op.core

Decode and Crop a JPEG-encoded image to a uint8 tensor.

decodeAndCropJpeg(Operand<String>, Operand<Integer>, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeAndCropJpeg operation to the graph

DecodeAndCropJpeg.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeAndCropJpeg

DecodeBase64 - Class in org.tensorflow.op.core

Decode web-safe base64-encoded strings.

decodeBase64(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an DecodeBase64 operation to the graph

DecodeBmp - Class in org.tensorflow.op.core

Decode the first frame of a BMP-encoded image to a uint8 tensor.

decodeBmp(Operand<String>, DecodeBmp.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeBmp operation to the graph

DecodeBmp.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeBmp

DecodeCompressed - Class in org.tensorflow.op.core

Decompress strings.

decodeCompressed(Operand<String>, DecodeCompressed.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeCompressed operation to the graph

DecodeCompressed.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeCompressed

DecodeCSV - Class in org.tensorflow.op.core

Convert CSV records to tensors.

decodeCSV(Operand<String>, Iterable<Operand<?>>, DecodeCSV.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeCSV operation to the graph

DecodeCSV.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeCSV

decodedIndices() - Method in class org.tensorflow.op.core.CTCBeamSearchDecoder

A list (length: top_paths) of indices matrices.

decodedIndices() - Method in class org.tensorflow.op.core.CTCGreedyDecoder

Indices matrix, size `(total_decoded_outputs x 2)`, of a `SparseTensor`.

decodedShape() - Method in class org.tensorflow.op.core.CTCBeamSearchDecoder

A list (length: top_paths) of shape vector.

decodedShape() - Method in class org.tensorflow.op.core.CTCGreedyDecoder

Shape vector, size `(2)`, of the decoded SparseTensor.

decodedValues() - Method in class org.tensorflow.op.core.CTCBeamSearchDecoder

A list (length: top_paths) of values vectors.

decodedValues() - Method in class org.tensorflow.op.core.CTCGreedyDecoder

Values vector, size: `(total_decoded_outputs)`, of a `SparseTensor`.

DecodeGif - Class in org.tensorflow.op.core

Decode the first frame of a GIF-encoded image to a uint8 tensor.

decodeGif(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an DecodeGif operation to the graph

DecodeJpeg - Class in org.tensorflow.op.core

Decode a JPEG-encoded image to a uint8 tensor.

decodeJpeg(Operand<String>, DecodeJpeg.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeJpeg operation to the graph

DecodeJpeg.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeJpeg

DecodeJSONExample - Class in org.tensorflow.op.core

Convert JSON-encoded Example records to binary protocol buffer strings.

decodeJSONExample(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an DecodeJSONExample operation to the graph

DecodePng<T extends Number> - Class in org.tensorflow.op.core

Decode a PNG-encoded image to a uint8 or uint16 tensor.

decodePng(Operand<String>, Class<T>, DecodePng.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodePng operation to the graph

DecodePng.Options - Class in org.tensorflow.op.core

Optional attributes for DecodePng

DecodeProtoV2 - Class in org.tensorflow.op.core

The op extracts fields from a serialized protocol buffers message into tensors.

decodeProtoV2(Operand<String>, String, List<String>, List<Class<?>>, DecodeProtoV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeProtoV2 operation to the graph

DecodeProtoV2.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeProtoV2

DecodeRaw<T extends Number> - Class in org.tensorflow.op.core

Reinterpret the bytes of a string as a vector of numbers.

decodeRaw(Operand<String>, Class<T>, DecodeRaw.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeRaw operation to the graph

DecodeRaw.Options - Class in org.tensorflow.op.core

Optional attributes for DecodeRaw

DecodeWav - Class in org.tensorflow.op.core

Decode a 16-bit PCM WAV file to a float tensor.

decodeWav(Operand<String>, DecodeWav.Options...) - Method in class org.tensorflow.op.Ops

Adds an DecodeWav operation to the graph

DecodeWav.Options - Class in org.tensorflow.op.core

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

Adds an DeepCopy operation to the graph

deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.core.MergeV2Checkpoints

deleteOldDirs(Boolean) - Method in class org.tensorflow.op.core.MergeV2Checkpoints.Options

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

Adds an DeleteSessionTensor operation to the graph

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.core.SparseToDense

Dense output tensor of shape `output_shape`.

DenseToDenseSetOperation<T> - Class in org.tensorflow.op.core

Applies set operation along last dimension of 2 `Tensor` inputs.

denseToDenseSetOperation(Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.Ops

Adds an DenseToDenseSetOperation operation to the graph

DenseToDenseSetOperation.Options - Class in org.tensorflow.op.core

Optional attributes for DenseToDenseSetOperation

DenseToSparseBatchDataset - Class in org.tensorflow.op.core

Creates a dataset that batches input elements into a SparseTensor.

denseToSparseBatchDataset(Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an DenseToSparseBatchDataset operation to the graph

DenseToSparseSetOperation<T> - Class in org.tensorflow.op.core

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.Ops

Adds an DenseToSparseSetOperation operation to the graph

DenseToSparseSetOperation.Options - Class in org.tensorflow.op.core

Optional attributes for DenseToSparseSetOperation

denseValues() - Method in class org.tensorflow.op.core.ParseExample

denseValues() - Method in class org.tensorflow.op.core.ParseSingleExample

densityUnit(String) - Static method in class org.tensorflow.op.core.EncodeJpeg

densityUnit(String) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

depthRadius(Long) - Static method in class org.tensorflow.op.core.LRN

depthRadius(Long) - Method in class org.tensorflow.op.core.LRN.Options

depthRadius(Long) - Static method in class org.tensorflow.op.core.LRNGrad

depthRadius(Long) - Method in class org.tensorflow.op.core.LRNGrad.Options

DepthToSpace<T> - Class in org.tensorflow.op.core

DepthToSpace for tensors of type T.

depthToSpace(Operand<T>, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.Ops

Adds an DepthToSpace operation to the graph

DepthToSpace.Options - Class in org.tensorflow.op.core

Optional attributes for DepthToSpace

DepthwiseConv2dNative<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an DepthwiseConv2dNative operation to the graph

DepthwiseConv2dNative.Options - Class in org.tensorflow.op.core

Optional attributes for DepthwiseConv2dNative

DepthwiseConv2dNativeBackpropFilter<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an DepthwiseConv2dNativeBackpropFilter operation to the graph

DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.core

Optional attributes for DepthwiseConv2dNativeBackpropFilter

DepthwiseConv2dNativeBackpropInput<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an DepthwiseConv2dNativeBackpropInput operation to the graph

DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.core

Optional attributes for DepthwiseConv2dNativeBackpropInput

Dequantize - Class in org.tensorflow.op.core

Dequantize the 'input' tensor into a float Tensor.

dequantize(Operand<T>, Operand<Float>, Operand<Float>, Dequantize.Options...) - Method in class org.tensorflow.op.Ops

Adds an Dequantize operation to the graph

Dequantize.Options - Class in org.tensorflow.op.core

Optional attributes for Dequantize

description(String) - Static method in class org.tensorflow.op.core.TensorSummary

description(String) - Method in class org.tensorflow.op.core.TensorSummary.Options

descriptorSource(String) - Static method in class org.tensorflow.op.core.DecodeProtoV2

descriptorSource(String) - Method in class org.tensorflow.op.core.DecodeProtoV2.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.core

Converts the given variant tensor to an iterator and stores it in the given resource.

deserializeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an DeserializeIterator operation to the graph

DeserializeManySparse<T> - Class in org.tensorflow.op.core

Deserialize and concatenate `SparseTensors` from a serialized minibatch.

deserializeManySparse(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an DeserializeManySparse operation to the graph

DeserializeSparse<U> - Class in org.tensorflow.op.core

Deserialize `SparseTensor` objects.

deserializeSparse(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an DeserializeSparse operation to the graph

desiredChannels(Long) - Static method in class org.tensorflow.op.core.DecodeWav

desiredChannels(Long) - Method in class org.tensorflow.op.core.DecodeWav.Options

desiredSamples(Long) - Static method in class org.tensorflow.op.core.DecodeWav

desiredSamples(Long) - Method in class org.tensorflow.op.core.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

Adds an DestroyResourceOp operation to the graph

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

Adds an DestroyTemporaryVariable operation to the graph

deterministic(Boolean) - Static method in class org.tensorflow.op.core.FractionalAvgPool

deterministic(Boolean) - Method in class org.tensorflow.op.core.FractionalAvgPool.Options

deterministic(Boolean) - Static method in class org.tensorflow.op.core.FractionalMaxPool

deterministic(Boolean) - Method in class org.tensorflow.op.core.FractionalMaxPool.Options

dg() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for gamma.

Diag<T> - Class in org.tensorflow.op.core

Returns a diagonal tensor with a given diagonal values.

diag(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Diag operation to the graph

diagonal() - Method in class org.tensorflow.op.core.BatchMatrixDiagPart

diagonal() - Method in class org.tensorflow.op.core.DiagPart

The extracted diagonal.

diagonal() - Method in class org.tensorflow.op.core.MatrixDiagPart

The extracted diagonal(s) having shape `diagonal.shape = input.shape[:-2] + [min(input.shape[-2:])]`.

DiagPart<T> - Class in org.tensorflow.op.core

Returns the diagonal part of the tensor.

diagPart(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DiagPart operation to the graph

Digamma<T extends Number> - Class in org.tensorflow.op.core

Computes Psi, the derivative of Lgamma (the log of the absolute value of

digamma(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Digamma operation to the graph

Dilation2D<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Dilation2D operation to the graph

Dilation2DBackpropFilter<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Dilation2DBackpropFilter operation to the graph

Dilation2DBackpropInput<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an Dilation2DBackpropInput operation to the graph

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv2D

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv2D.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv2DBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv2DBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv2DBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv2DBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv3D

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv3D.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv3DBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv3DBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv3DBackpropFilterV2

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv3DBackpropFilterV2.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv3DBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv3DBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.Conv3DBackpropInputV2

dilations(List<Long>) - Method in class org.tensorflow.op.core.Conv3DBackpropInputV2.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNative

dilations(List<Long>) - Method in class org.tensorflow.op.core.DepthwiseConv2dNative.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter

dilations(List<Long>) - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput

dilations(List<Long>) - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput.Options

dilations(List<Long>) - Static method in class org.tensorflow.op.core.QuantizedConv2D

dilations(List<Long>) - Method in class org.tensorflow.op.core.QuantizedConv2D.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNN

direction(String) - Method in class org.tensorflow.op.core.CudnnRNN.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

direction(String) - Static method in class org.tensorflow.op.core.CudnnRNNV2

direction(String) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

displayName(String) - Static method in class org.tensorflow.op.core.TensorSummary

displayName(String) - Method in class org.tensorflow.op.core.TensorSummary.Options

distortion(Float) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

distortion(Float) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

Div<T> - Class in org.tensorflow.op.core

Returns x / y element-wise.

div(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Div operation to the graph

dm() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for mean.

doubleValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Double tensor.

DrawBoundingBoxes<T extends Number> - Class in org.tensorflow.op.core

Draw bounding boxes on a batch of images.

drawBoundingBoxes(Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an DrawBoundingBoxes operation to the graph

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNN

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNN.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

dropout(Float) - Static method in class org.tensorflow.op.core.CudnnRNNV2

dropout(Float) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

dstFormat(String) - Static method in class org.tensorflow.op.core.DataFormatDimMap

dstFormat(String) - Method in class org.tensorflow.op.core.DataFormatDimMap.Options

dstFormat(String) - Static method in class org.tensorflow.op.core.DataFormatVecPermute

dstFormat(String) - Method in class org.tensorflow.op.core.DataFormatVecPermute.Options

dv() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalizationGrad

1D backprop tensor for variance.

dValues() - Method in class org.tensorflow.op.core.SparseFillEmptyRowsGrad

1-D.

dx() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalizationGrad

4D backprop tensor for input.

dx(Iterable<Operand<?>>) - Method in class org.tensorflow.op.core.Gradients

dx(Iterable<Operand<?>>) - Method in class org.tensorflow.op.core.Gradients.Options

dy() - Method in class org.tensorflow.op.core.Gradients

Partial derivatives of ys w.r.t.

dy(int) - Method in class org.tensorflow.op.core.Gradients

Returns a symbolic handle to one of the gradient operation output

DynamicPartition<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

Adds an DynamicPartition operation to the graph

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>>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an DynamicStitch operation to the graph

E

e() - Method in class org.tensorflow.op.core.BatchSelfAdjointEigV2

e() - Method in class org.tensorflow.op.core.SelfAdjointEig

Eigenvalues.

EagerPyFunc - Class in org.tensorflow.op.core

Eagerly executes a python function to compute func(input)->output.

eagerPyFunc(Iterable<Operand<?>>, String, List<Class<?>>) - Method in class org.tensorflow.op.Ops

Adds an EagerPyFunc operation to the graph

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

Adds an EditDistance operation to the graph

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() - 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

Elu<T extends Number> - Class in org.tensorflow.op.core

Computes exponential linear: `exp(features) - 1` if < 0, `features` otherwise.

elu(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Elu operation to the graph

EluGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients for the exponential linear (Elu) operation.

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

Adds an Empty operation to the graph

Empty.Options - Class in org.tensorflow.op.core

Optional attributes for Empty

emptyRowIndicator() - Method in class org.tensorflow.op.core.SparseFillEmptyRows

1-D.

EmptyTensorList - Class in org.tensorflow.op.core

Creates and returns an empty tensor list.

emptyTensorList(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an EmptyTensorList operation to the graph

EncodeBase64 - Class in org.tensorflow.op.core

Encode strings into web-safe base64 format.

encodeBase64(Operand<String>, EncodeBase64.Options...) - Method in class org.tensorflow.op.Ops

Adds an EncodeBase64 operation to the graph

EncodeBase64.Options - Class in org.tensorflow.op.core

Optional attributes for EncodeBase64

EncodeJpeg - Class in org.tensorflow.op.core

JPEG-encode an image.

encodeJpeg(Operand<UInt8>, EncodeJpeg.Options...) - Method in class org.tensorflow.op.Ops

Adds an EncodeJpeg operation to the graph

EncodeJpeg.Options - Class in org.tensorflow.op.core

Optional attributes for EncodeJpeg

EncodePng - Class in org.tensorflow.op.core

PNG-encode an image.

encodePng(Operand<T>, EncodePng.Options...) - Method in class org.tensorflow.op.Ops

Adds an EncodePng operation to the graph

EncodePng.Options - Class in org.tensorflow.op.core

Optional attributes for EncodePng

EncodeProto - Class in org.tensorflow.op.core

The op serializes protobuf messages provided in the input tensors.

encodeProto(Operand<Integer>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Method in class org.tensorflow.op.Ops

Adds an EncodeProto operation to the graph

EncodeProto.Options - Class in org.tensorflow.op.core

Optional attributes for EncodeProto

EncodeWav - Class in org.tensorflow.op.core

Encode audio data using the WAV file format.

encodeWav(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an EncodeWav operation to the graph

encoding(String) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

encoding(String) - Method in class org.tensorflow.op.core.FixedLengthRecordReader.Options

endMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

endMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

endMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

EnqueueInQueueDataset - Class in org.tensorflow.op.core

enqueueInQueueDataset(Operand<?>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an EnqueueInQueueDataset operation to the graph

Enter<T> - Class in org.tensorflow.op.core

Creates or finds a child frame, and makes `data` available to the child frame.

Enter.Options - Class in org.tensorflow.op.core

Optional attributes for Enter

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNorm

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNorm.Options

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNormGrad

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNormGrad.Options

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV2

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNormGradV2.Options

epsilon(Float) - Static method in class org.tensorflow.op.core.FusedBatchNormV2

epsilon(Float) - Method in class org.tensorflow.op.core.FusedBatchNormV2.Options

Equal - Class in org.tensorflow.op.core

Returns the truth value of (x == y) element-wise.

equal(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Equal operation to the graph

equals(Object) - Method in class org.tensorflow.op.PrimitiveOp

equals(Object) - Method in class org.tensorflow.Operation

equals(Object) - Method in class org.tensorflow.Output

equals(Object) - Method in class org.tensorflow.Shape

Erf<T extends Number> - Class in org.tensorflow.op.core

Computes the Gauss error function of `x` element-wise.

erf(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Erf operation to the graph

Erfc<T extends Number> - Class in org.tensorflow.op.core

Computes the complementary error function of `x` element-wise.

erfc(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Erfc operation to the graph

errorMsg(String) - Static method in class org.tensorflow.op.core.Abort

errorMsg(String) - Method in class org.tensorflow.op.core.Abort.Options

examples() - Method in class org.tensorflow.op.core.Skipgram

A vector of word ids.

examplesDebugOutputsSerialized() - Method in class org.tensorflow.op.core.BoostedTreesExampleDebugOutputs

Output rank 1 Tensor containing a proto serialized as a string for each example.

exclusive(Boolean) - Static method in class org.tensorflow.op.core.Cumprod

exclusive(Boolean) - Method in class org.tensorflow.op.core.Cumprod.Options

exclusive(Boolean) - Static method in class org.tensorflow.op.core.Cumsum

exclusive(Boolean) - Method in class org.tensorflow.op.core.Cumsum.Options

Exit<T> - Class in org.tensorflow.op.core

Exits the current frame to its parent frame.

exitWithoutError(Boolean) - Static method in class org.tensorflow.op.core.Abort

exitWithoutError(Boolean) - Method in class org.tensorflow.op.core.Abort.Options

Exp<T> - Class in org.tensorflow.op.core

Computes exponential of x element-wise.

exp(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Exp operation to the graph

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

Adds an ExpandDims operation to the graph

expect(Class<U>) - Method in class org.tensorflow.Tensor

Returns this Tensor object with the type Tensor<U>.

Expm1<T> - Class in org.tensorflow.op.core

Computes exponential of x - 1 element-wise.

expm1(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Expm1 operation to the graph

ExtractGlimpse - Class in org.tensorflow.op.core

Extracts a glimpse from the input tensor.

extractGlimpse(Operand<Float>, Operand<Integer>, Operand<Float>, ExtractGlimpse.Options...) - Method in class org.tensorflow.op.Ops

Adds an ExtractGlimpse operation to the graph

ExtractGlimpse.Options - Class in org.tensorflow.op.core

Optional attributes for ExtractGlimpse

ExtractImagePatches<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an ExtractImagePatches operation to the graph

ExtractJpegShape<T extends Number> - Class in org.tensorflow.op.core

Extract the shape information of a JPEG-encoded image.

extractJpegShape(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an ExtractJpegShape operation to the graph

extrapolationValue(Float) - Static method in class org.tensorflow.op.core.CropAndResize

extrapolationValue(Float) - Method in class org.tensorflow.op.core.CropAndResize.Options

F

Fact - Class in org.tensorflow.op.core

Output a fact about factorials.

fact() - Method in class org.tensorflow.op.core.Fact

fact() - Method in class org.tensorflow.op.Ops

Adds an Fact operation to the graph

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.core

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

fakeQuantWithMinMaxArgs(Operand<Float>, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.Ops

Adds an FakeQuantWithMinMaxArgs operation to the graph

FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxArgs

FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.core

Compute gradients for a FakeQuantWithMinMaxArgs operation.

fakeQuantWithMinMaxArgsGradient(Operand<Float>, Operand<Float>, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.Ops

Adds an FakeQuantWithMinMaxArgsGradient operation to the graph

FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxArgsGradient

FakeQuantWithMinMaxVars - Class in org.tensorflow.op.core

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.Ops

Adds an FakeQuantWithMinMaxVars operation to the graph

FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxVars

FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.core

Compute gradients for a FakeQuantWithMinMaxVars operation.

fakeQuantWithMinMaxVarsGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.Ops

Adds an FakeQuantWithMinMaxVarsGradient operation to the graph

FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxVarsGradient

FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.core

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.Ops

Adds an FakeQuantWithMinMaxVarsPerChannel operation to the graph

FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxVarsPerChannel

FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.core

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

fakeQuantWithMinMaxVarsPerChannelGradient(Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.Ops

Adds an FakeQuantWithMinMaxVarsPerChannelGradient operation to the graph

FakeQuantWithMinMaxVarsPerChannelGradient.Options - Class in org.tensorflow.op.core

Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient

fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

fancyUpscaling(Boolean) - Method in class org.tensorflow.op.core.DecodeAndCropJpeg.Options

fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.core.DecodeJpeg

fancyUpscaling(Boolean) - Method in class org.tensorflow.op.core.DecodeJpeg.Options

fast(Boolean) - Static method in class org.tensorflow.op.core.BatchMatrixSolveLs

fast(Boolean) - Method in class org.tensorflow.op.core.BatchMatrixSolveLs.Options

fast(Boolean) - Static method in class org.tensorflow.op.core.MatrixSolveLs

fast(Boolean) - Method in class org.tensorflow.op.core.MatrixSolveLs.Options

featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.core.ParseSingleSequenceExample

featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.core.ParseSingleSequenceExample.Options

featureListDenseValues() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

featureListSparseIndices() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

featureListSparseShapes() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

featureListSparseValues() - Method in class org.tensorflow.op.core.ParseSingleSequenceExample

FeatureStatsDataset - Class in org.tensorflow.op.core

featureStatsDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an FeatureStatsDataset operation to the graph

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(Output<?>, Tensor<?>) - Method in class org.tensorflow.Session.Runner

Use t instead of the Tensor referred to by executing the operation referred to by output.

fetch(String) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the output of operation.

fetch(String, int) - Method in class org.tensorflow.Session.Runner

Make Session.Runner.run() return the index-th output of operation.

fetch(Output<?>) - Method in class org.tensorflow.Session.Runner

Makes Session.Runner.run() return the Tensor referred to by output.

FFT<T> - Class in org.tensorflow.op.core

Fast Fourier transform.

fFT(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an FFT operation to the graph

FFT2D<T> - Class in org.tensorflow.op.core

2D fast Fourier transform.

fFT2D(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an FFT2D operation to the graph

FFT3D<T> - Class in org.tensorflow.op.core

3D fast Fourier transform.

fFT3D(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an FFT3D operation to the graph

fieldDelim(String) - Static method in class org.tensorflow.op.core.DecodeCSV

fieldDelim(String) - Method in class org.tensorflow.op.core.DecodeCSV.Options

FIFOQueue - Class in org.tensorflow.op.core

A queue that produces elements in first-in first-out order.

fIFOQueue(List<Class<?>>, FIFOQueue.Options...) - Method in class org.tensorflow.op.Ops

Adds an FIFOQueue operation to the graph

FIFOQueue.Options - Class in org.tensorflow.op.core

Optional attributes for FIFOQueue

fileBufferSize(Long) - Static method in class org.tensorflow.op.core.RecordInput

fileBufferSize(Long) - Method in class org.tensorflow.op.core.RecordInput.Options

filename() - Method in class org.tensorflow.op.core.ShardedFilename

filename() - Method in class org.tensorflow.op.core.ShardedFilespec

filenames() - Method in class org.tensorflow.op.core.MatchingFiles

A vector of matching filenames.

fileParallelism(Long) - Static method in class org.tensorflow.op.core.RecordInput

fileParallelism(Long) - Method in class org.tensorflow.op.core.RecordInput.Options

fileRandomSeed(Long) - Static method in class org.tensorflow.op.core.RecordInput

fileRandomSeed(Long) - Method in class org.tensorflow.op.core.RecordInput.Options

fileShuffleShiftRatio(Float) - Static method in class org.tensorflow.op.core.RecordInput

fileShuffleShiftRatio(Float) - Method in class org.tensorflow.op.core.RecordInput.Options

fill(String) - Static method in class org.tensorflow.op.core.AsString

fill(String) - Method in class org.tensorflow.op.core.AsString.Options

Fill<U> - Class in org.tensorflow.op.core

Creates a tensor filled with a scalar value.

fill(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Fill operation to the graph

filterBackprop() - Method in class org.tensorflow.op.core.Dilation2DBackpropFilter

3-D with shape `[filter_height, filter_width, depth]`.

filterbankChannelCount(Long) - Static method in class org.tensorflow.op.core.Mfcc

filterbankChannelCount(Long) - Method in class org.tensorflow.op.core.Mfcc.Options

firstN(Long) - Static method in class org.tensorflow.op.core.Print

firstN(Long) - Method in class org.tensorflow.op.core.Print.Options

FixedLengthRecordDataset - Class in org.tensorflow.op.core

Creates a dataset that emits the records from one or more binary files.

fixedLengthRecordDataset(Operand<String>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an FixedLengthRecordDataset operation to the graph

FixedLengthRecordReader - Class in org.tensorflow.op.core

A Reader that outputs fixed-length records from a file.

fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an FixedLengthRecordReader operation to the graph

FixedLengthRecordReader.Options - Class in org.tensorflow.op.core

Optional attributes for FixedLengthRecordReader

FixedUnigramCandidateSampler - Class in org.tensorflow.op.core

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.Ops

Adds an FixedUnigramCandidateSampler operation to the graph

FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.core

Optional attributes for FixedUnigramCandidateSampler

floatValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Float tensor.

Floor<T extends Number> - Class in org.tensorflow.op.core

Returns element-wise largest integer not greater than x.

floor(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Floor operation to the graph

FloorDiv<T> - Class in org.tensorflow.op.core

Returns x // y element-wise.

floorDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an FloorDiv operation to the graph

FloorMod<T extends Number> - Class in org.tensorflow.op.core

Returns element-wise remainder of division.

floorMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an FloorMod operation to the graph

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.core

footerBytes(Long) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

footerBytes(Long) - Method in class org.tensorflow.op.core.FixedLengthRecordReader.Options

format(String) - Static method in class org.tensorflow.op.core.EncodeJpeg

format(String) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

FractionalAvgPool<T extends Number> - Class in org.tensorflow.op.core

Performs fractional average pooling on the input.

fractionalAvgPool(Operand<T>, List<Float>, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.Ops

Adds an FractionalAvgPool operation to the graph

FractionalAvgPool.Options - Class in org.tensorflow.op.core

Optional attributes for FractionalAvgPool

FractionalAvgPoolGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradient of the FractionalAvgPool function.

FractionalAvgPoolGrad.Options - Class in org.tensorflow.op.core

Optional attributes for FractionalAvgPoolGrad

FractionalMaxPool<T extends Number> - Class in org.tensorflow.op.core

Performs fractional max pooling on the input.

fractionalMaxPool(Operand<T>, List<Float>, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.Ops

Adds an FractionalMaxPool operation to the graph

FractionalMaxPool.Options - Class in org.tensorflow.op.core

Optional attributes for FractionalMaxPool

FractionalMaxPoolGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradient of the FractionalMaxPool function.

FractionalMaxPoolGrad.Options - Class in org.tensorflow.op.core

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.core.BatchSvd

fullMatrices(Boolean) - Method in class org.tensorflow.op.core.BatchSvd.Options

fullMatrices(Boolean) - Static method in class org.tensorflow.op.core.Qr

fullMatrices(Boolean) - Method in class org.tensorflow.op.core.Qr.Options

fullMatrices(Boolean) - Static method in class org.tensorflow.op.core.Svd

fullMatrices(Boolean) - Method in class org.tensorflow.op.core.Svd.Options

FusedBatchNorm<T extends Number> - Class in org.tensorflow.op.core

Batch normalization.

fusedBatchNorm(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.Ops

Adds an FusedBatchNorm operation to the graph

FusedBatchNorm.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNorm

FusedBatchNormGrad<T extends Number> - Class in org.tensorflow.op.core

Gradient for batch normalization.

fusedBatchNormGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an FusedBatchNormGrad operation to the graph

FusedBatchNormGrad.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNormGrad

FusedBatchNormGradV2<T extends Number,U extends Number> - Class in org.tensorflow.op.core

Gradient for batch normalization.

fusedBatchNormGradV2(Operand<T>, Operand<T>, Operand<Float>, Operand<U>, Operand<U>, FusedBatchNormGradV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an FusedBatchNormGradV2 operation to the graph

FusedBatchNormGradV2.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNormGradV2

FusedBatchNormV2<T extends Number,U extends Number> - Class in org.tensorflow.op.core

Batch normalization.

fusedBatchNormV2(Operand<T>, Operand<U>, Operand<U>, Operand<U>, Operand<U>, FusedBatchNormV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an FusedBatchNormV2 operation to the graph

FusedBatchNormV2.Options - Class in org.tensorflow.op.core

Optional attributes for FusedBatchNormV2

FusedPadConv2D<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an FusedPadConv2D operation to the graph

FusedResizeAndPadConv2D<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an FusedResizeAndPadConv2D operation to the graph

FusedResizeAndPadConv2D.Options - Class in org.tensorflow.op.core

Optional attributes for FusedResizeAndPadConv2D

G

gainsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

An output list of Rank 1 tensors indicating the best gains for each feature to split for certain nodes.

Gather<T> - Class in org.tensorflow.op.core

Gather slices from `params` according to `indices`.

gather(Operand<T>, Operand<U>, Gather.Options...) - Method in class org.tensorflow.op.Ops

Adds an Gather operation to the graph

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

Adds an GatherNd operation to the graph

GatherV2<T> - Class in org.tensorflow.op.core

Gather slices from `params` axis `axis` according to `indices`.

gatherV2(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an GatherV2 operation to the graph

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

Adds an GcsConfigureBlockCache operation to the graph

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

Adds an GcsConfigureCredentials operation to the graph

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

Adds an GenerateBigQueryReaderPartitions operation to the graph

GenerateBigQueryReaderPartitions.Options - Class in org.tensorflow.op.core

Optional attributes for GenerateBigQueryReaderPartitions

GenerateVocabRemapping - Class in org.tensorflow.op.core

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.Ops

Adds an GenerateVocabRemapping operation to the graph

GenerateVocabRemapping.Options - Class in org.tensorflow.op.core

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

Adds an GetSessionHandle operation to the graph

GetSessionHandleV2 - Class in org.tensorflow.op.core

Store the input tensor in the state of the current session.

getSessionHandleV2(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an GetSessionHandleV2 operation to the graph

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

Adds an GetSessionTensor operation to the graph

givenYMax(Float) - Static method in class org.tensorflow.op.core.QuantizedInstanceNorm

givenYMax(Float) - Method in class org.tensorflow.op.core.QuantizedInstanceNorm.Options

givenYMin(Float) - Static method in class org.tensorflow.op.core.QuantizedInstanceNorm

givenYMin(Float) - Method in class org.tensorflow.op.core.QuantizedInstanceNorm.Options

glimpse() - Method in class org.tensorflow.op.core.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.core.CTCLoss

The gradient of `loss`.

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<Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Adds an Gradients operation to the graph

gradients(Iterable<Operand<?>>, Iterable<Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops

Adds an Gradients operation to the graph

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.core.DatasetToGraph

The graph representation of the dataset (as serialized GraphDef).

graph() - Method in class org.tensorflow.op.Scope

Returns the graph managed by this scope.

graph() - Method in class org.tensorflow.SavedModelBundle

Returns the graph that describes the computation performed by the model.

Greater - Class in org.tensorflow.op.core

Returns the truth value of (x > y) element-wise.

greater(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Greater operation to the graph

GreaterEqual - Class in org.tensorflow.op.core

Returns the truth value of (x >= y) element-wise.

greaterEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an GreaterEqual operation to the graph

GuaranteeConst<T> - Class in org.tensorflow.op.core

Gives a guarantee to the TF runtime that the input tensor is a constant.

guaranteeConst(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an GuaranteeConst operation to the graph

H

handle() - Method in class org.tensorflow.op.core.AnonymousIterator

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.BatchDataset

handle() - Method in class org.tensorflow.op.core.BatchDatasetV2

handle() - Method in class org.tensorflow.op.core.BytesProducedStatsDataset

handle() - Method in class org.tensorflow.op.core.CacheDataset

handle() - Method in class org.tensorflow.op.core.ConcatenateDataset

handle() - Method in class org.tensorflow.op.core.ConditionalAccumulator

The handle to the accumulator.

handle() - Method in class org.tensorflow.op.core.DenseToSparseBatchDataset

handle() - Method in class org.tensorflow.op.core.EmptyTensorList

handle() - Method in class org.tensorflow.op.core.FeatureStatsDataset

handle() - Method in class org.tensorflow.op.core.FIFOQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.core.FixedLengthRecordDataset

handle() - Method in class org.tensorflow.op.core.GetSessionHandle

The handle for the tensor stored in the session state, represented as a string.

handle() - Method in class org.tensorflow.op.core.GetSessionHandleV2

The handle for the tensor stored in the session state, represented as a ResourceHandle object.

handle() - Method in class org.tensorflow.op.core.Iterator

A handle to the iterator that can be passed to a "MakeIterator" or "IteratorGetNext" op.

handle() - Method in class org.tensorflow.op.core.IteratorV2

handle() - Method in class org.tensorflow.op.core.LatencyStatsDataset

handle() - Method in class org.tensorflow.op.core.OptimizeDataset

handle() - Method in class org.tensorflow.op.core.PaddedBatchDataset

handle() - Method in class org.tensorflow.op.core.PaddedBatchDatasetV2

handle() - Method in class org.tensorflow.op.core.PaddingFIFOQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.core.PrefetchDataset

handle() - Method in class org.tensorflow.op.core.PrependFromQueueAndPaddedBatchDataset

handle() - Method in class org.tensorflow.op.core.PriorityQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.core.RandomDataset

handle() - Method in class org.tensorflow.op.core.RandomShuffleQueue

The handle to the queue.

handle() - Method in class org.tensorflow.op.core.RangeDataset

handle() - Method in class org.tensorflow.op.core.RepeatDataset

handle() - Method in class org.tensorflow.op.core.SetStatsAggregatorDataset

handle() - Method in class org.tensorflow.op.core.ShuffleAndRepeatDataset

handle() - Method in class org.tensorflow.op.core.ShuffleDataset

handle() - Method in class org.tensorflow.op.core.SinkDataset

handle() - Method in class org.tensorflow.op.core.SkipDataset

handle() - Method in class org.tensorflow.op.core.SlideDataset

handle() - Method in class org.tensorflow.op.core.SparseConditionalAccumulator

The handle to the accumulator.

handle() - Method in class org.tensorflow.op.core.SparseTensorSliceDataset

handle() - Method in class org.tensorflow.op.core.SqlDataset

handle() - Method in class org.tensorflow.op.core.StatsAggregatorHandle

handle() - Method in class org.tensorflow.op.core.TakeDataset

handle() - Method in class org.tensorflow.op.core.TensorArray

The handle to the TensorArray.

handle() - Method in class org.tensorflow.op.core.TensorDataset

handle() - Method in class org.tensorflow.op.core.TensorListReserve

handle() - Method in class org.tensorflow.op.core.TensorSliceDataset

handle() - Method in class org.tensorflow.op.core.TextLineDataset

handle() - Method in class org.tensorflow.op.core.TFRecordDataset

handle() - Method in class org.tensorflow.op.core.UnbatchDataset

handle() - Method in class org.tensorflow.op.core.WindowDataset

handle() - Method in class org.tensorflow.op.core.ZipDataset

hashCode() - Method in class org.tensorflow.op.PrimitiveOp

hashCode() - Method in class org.tensorflow.Operation

hashCode() - Method in class org.tensorflow.Output

hashCode() - Method in class org.tensorflow.Shape

HashTable - Class 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

Adds an HashTable operation to the graph

HashTable.Options - Class in org.tensorflow.op.core

Optional attributes for HashTable

headerBytes(Long) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

headerBytes(Long) - Method in class org.tensorflow.op.core.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

Adds an HistogramFixedWidth operation to the graph

HistogramSummary - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with a histogram.

histogramSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an HistogramSummary operation to the graph

hopBytes(Long) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

hopBytes(Long) - Method in class org.tensorflow.op.core.FixedLengthRecordReader.Options

hostReserved() - Method in class org.tensorflow.op.core.CudnnRNNV2

HSVToRGB<T extends Number> - Class in org.tensorflow.op.core

Convert one or more images from HSV to RGB.

hSVToRGB(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an HSVToRGB operation to the graph

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

Adds an Identity operation to the graph

IdentityN - Class in org.tensorflow.op.core

Returns a list of tensors with the same shapes and contents as the input

identityN(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an IdentityN operation to the graph

IdentityReader - Class in org.tensorflow.op.core

A Reader that outputs the queued work as both the key and value.

identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an IdentityReader operation to the graph

IdentityReader.Options - Class in org.tensorflow.op.core

Optional attributes for IdentityReader

ids() - Method in class org.tensorflow.op.core.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

1-D.

idx() - Method in class org.tensorflow.op.core.UniqueV2

A 1-D Tensor.

idx() - Method in class org.tensorflow.op.core.UniqueWithCounts

1-D.

idx() - Method in class org.tensorflow.op.core.UniqueWithCountsV2

A 1-D Tensor.

IFFT<T> - Class in org.tensorflow.op.core

Inverse fast Fourier transform.

iFFT(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IFFT operation to the graph

IFFT2D<T> - Class in org.tensorflow.op.core

Inverse 2D fast Fourier transform.

iFFT2D(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IFFT2D operation to the graph

IFFT3D<T> - Class in org.tensorflow.op.core

Inverse 3D fast Fourier transform.

iFFT3D(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IFFT3D operation to the graph

Igamma<T extends Number> - Class in org.tensorflow.op.core

Compute the lower regularized incomplete Gamma function `Q(a, x)`.

igamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Igamma operation to the graph

Igammac<T extends Number> - Class in org.tensorflow.op.core

Compute the upper regularized incomplete Gamma function `Q(a, x)`.

igammac(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Igammac operation to the graph

IgammaGradA<T extends Number> - Class in org.tensorflow.op.core

Computes the gradient of `igamma(a, x)` wrt `a`.

ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.core.CTCLoss

ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.core.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.core

Returns the imaginary part of a complex number.

imag(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Imag operation to the graph

image() - Method in class org.tensorflow.op.core.DecodeAndCropJpeg

3-D with shape `[height, width, channels]`..

image() - Method in class org.tensorflow.op.core.DecodeBmp

3-D with shape `[height, width, channels]`.

image() - Method in class org.tensorflow.op.core.DecodeGif

4-D with shape `[num_frames, height, width, 3]`.

image() - Method in class org.tensorflow.op.core.DecodeJpeg

3-D with shape `[height, width, channels]`..

image() - Method in class org.tensorflow.op.core.DecodePng

3-D with shape `[height, width, channels]`.

imageShape() - Method in class org.tensorflow.op.core.ExtractJpegShape

1-D.

ImageSummary - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with images.

imageSummary(Operand<String>, Operand<T>, ImageSummary.Options...) - Method in class org.tensorflow.op.Ops

Adds an ImageSummary operation to the graph

ImageSummary.Options - Class in org.tensorflow.op.core

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

Adds an ImmutableConst operation to the graph

ImportEvent - Class in org.tensorflow.op.core

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.core.Dilation2DBackpropInput

4-D with shape `[batch, in_height, in_width, depth]`.

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.core.ComputeAccidentalHits

A vector of indices corresponding to rows of true_candidates.

indices() - Method in class org.tensorflow.op.core.SparseAccumulatorTakeGradient

Indices of the average of the accumulated sparse gradients.

indices() - Method in class org.tensorflow.op.core.StringSplit

A dense matrix of int64 representing the indices of the sparse tensor.

indices() - Method in class org.tensorflow.op.core.StringSplitV2

indices() - Method in class org.tensorflow.op.core.TopK

The indices of `values` within the last dimension of `input`.

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

Adds an InitializeTable operation to the graph

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

Adds an InitializeTableFromTextFile operation to the graph

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

Adds an InplaceAdd operation to the graph

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

Adds an InplaceSub operation to the graph

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

Adds an InplaceUpdate operation to the graph

Input<T> - Interface in org.tensorflow

Interface implemented by operands of a TensorFlow operation.

inputBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackprop

inputBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2

inputCBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackprop

inputCBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2

inputHBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackprop

inputHBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2

inputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the given inputs list of Tensors for this operation.

inputMax(Float) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

inputMax(Float) - Method in class org.tensorflow.op.core.QuantizeAndDequantize.Options

inputMin(Float) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

inputMin(Float) - Method in class org.tensorflow.op.core.QuantizeAndDequantize.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNN

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNN.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

inputMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNV2

inputMode(String) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

InTopK - Class in org.tensorflow.op.core

Says whether the targets are in the top `K` predictions.

inTopK(Operand<Float>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops

Adds an InTopK operation to the graph

InTopKV2 - Class in org.tensorflow.op.core

Says whether the targets are in the top `K` predictions.

inTopKV2(Operand<Float>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an InTopKV2 operation to the graph

intValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Integer tensor.

Inv<T> - Class in org.tensorflow.op.core

Computes the reciprocal of x element-wise.

inv(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Inv operation to the graph

Invert<T extends Number> - Class in org.tensorflow.op.core

Flips all bits elementwise.

invert(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Invert operation to the graph

InvertPermutation<T extends Number> - Class in org.tensorflow.op.core

Computes the inverse permutation of a tensor.

invertPermutation(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an InvertPermutation operation to the graph

InvGrad<T> - Class in org.tensorflow.op.core

Computes the gradient for the inverse of `x` wrt its input.

iouThreshold(Float) - Static method in class org.tensorflow.op.core.NonMaxSuppression

iouThreshold(Float) - Method in class org.tensorflow.op.core.NonMaxSuppression.Options

IRFFT - Class in org.tensorflow.op.core

Inverse real-valued fast Fourier transform.

iRFFT(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an IRFFT operation to the graph

IRFFT2D - Class in org.tensorflow.op.core

Inverse 2D real-valued fast Fourier transform.

iRFFT2D(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an IRFFT2D operation to the graph

IRFFT3D - Class in org.tensorflow.op.core

Inverse 3D real-valued fast Fourier transform.

iRFFT3D(Operand<?>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an IRFFT3D operation to the graph

IsBoostedTreesEnsembleInitialized - Class in org.tensorflow.op.core

Checks whether a tree ensemble has been initialized.

isClosed() - Method in class org.tensorflow.op.core.QueueIsClosed

isClosed() - Method in class org.tensorflow.op.core.QueueIsClosedV2

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.core

Returns which elements of x are finite.

isFinite(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IsFinite operation to the graph

IsInf - Class in org.tensorflow.op.core

Returns which elements of x are Inf.

isInf(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IsInf operation to the graph

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.IsVariableInitialized

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.core

Returns which elements of x are NaN.

isNan(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an IsNan operation to the graph

isTraining(Boolean) - Static method in class org.tensorflow.op.core.CudnnRNN

isTraining(Boolean) - Method in class org.tensorflow.op.core.CudnnRNN.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.CudnnRNNV2

isTraining(Boolean) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNorm

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNorm.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNormGrad

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNormGrad.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNormGradV2

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNormGradV2.Options

isTraining(Boolean) - Static method in class org.tensorflow.op.core.FusedBatchNormV2

isTraining(Boolean) - Method in class org.tensorflow.op.core.FusedBatchNormV2.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

Adds an IsVariableInitialized operation to the graph

item() - Method in class org.tensorflow.op.core.TensorListGetItem

iterator() - Method in class org.tensorflow.op.core.DatasetToSingleElement

iterator() - Method in class org.tensorflow.op.core.DecodeCSV

iterator() - Method in class org.tensorflow.op.core.DynamicPartition

iterator() - Method in class org.tensorflow.op.core.EagerPyFunc

iterator() - Method in class org.tensorflow.op.core.Gradients

iterator() - Method in class org.tensorflow.op.core.IdentityN

Iterator - Class in org.tensorflow.op.core

A container for an iterator resource.

iterator() - Method in class org.tensorflow.op.core.IteratorGetNext

iterator() - Method in class org.tensorflow.op.core.IteratorGetNextSync

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.QueueDequeue

iterator() - Method in class org.tensorflow.op.core.QueueDequeueMany

iterator() - Method in class org.tensorflow.op.core.QueueDequeueUpTo

iterator() - Method in class org.tensorflow.op.core.RemoteFusedGraphExecute

iterator() - Method in class org.tensorflow.op.core.RestoreV2

iterator() - Method in class org.tensorflow.op.core.ShapeN

iterator() - Method in class org.tensorflow.op.core.Split

iterator() - Method in class org.tensorflow.op.core.SplitV

iterator() - Method in class org.tensorflow.op.core.StagePeek

iterator() - Method in class org.tensorflow.op.core.Unstack

iterator() - Method in class org.tensorflow.op.core.Unstage

iterator(String, String, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an Iterator operation to the graph

IteratorFromStringHandle - Class in org.tensorflow.op.core

Converts the given string representing a handle to an iterator to a resource.

iteratorFromStringHandle(Operand<String>, List<Class<?>>, IteratorFromStringHandle.Options...) - Method in class org.tensorflow.op.Ops

Adds an IteratorFromStringHandle operation to the graph

IteratorFromStringHandle.Options - Class in org.tensorflow.op.core

Optional attributes for IteratorFromStringHandle

IteratorFromStringHandleV2 - Class in org.tensorflow.op.core

IteratorFromStringHandleV2.Options - Class in org.tensorflow.op.core

Optional attributes for IteratorFromStringHandleV2

IteratorGetNext - Class in org.tensorflow.op.core

Gets the next output from the given iterator.

iteratorGetNext(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an IteratorGetNext operation to the graph

IteratorGetNextSync - Class in org.tensorflow.op.core

Gets the next output from the given iterator.

iteratorGetNextSync(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an IteratorGetNextSync operation to the graph

IteratorToStringHandle - Class in org.tensorflow.op.core

Converts the given `resource_handle` representing an iterator to a string.

iteratorToStringHandle(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an IteratorToStringHandle operation to the graph

IteratorV2 - Class in org.tensorflow.op.core

K

keepDims(Boolean) - Static method in class org.tensorflow.op.core.All

keepDims(Boolean) - Method in class org.tensorflow.op.core.All.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Any

keepDims(Boolean) - Method in class org.tensorflow.op.core.Any.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Max

keepDims(Boolean) - Method in class org.tensorflow.op.core.Max.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Mean

keepDims(Boolean) - Method in class org.tensorflow.op.core.Mean.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.ReduceJoin

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceJoin.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.ReduceMean

keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMean.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.SparseReduceMax

keepDims(Boolean) - Method in class org.tensorflow.op.core.SparseReduceMax.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.SparseReduceMaxSparse

keepDims(Boolean) - Method in class org.tensorflow.op.core.SparseReduceMaxSparse.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.SparseReduceSum

keepDims(Boolean) - Method in class org.tensorflow.op.core.SparseReduceSum.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.SparseReduceSumSparse

keepDims(Boolean) - Method in class org.tensorflow.op.core.SparseReduceSumSparse.Options

keepDims(Boolean) - Static method in class org.tensorflow.op.core.Sum

keepDims(Boolean) - Method in class org.tensorflow.op.core.Sum.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.core.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.core.ReaderReadUpTo

A 1-D tensor.

L

L2Loss<T extends Number> - Class in org.tensorflow.op.core

L2 Loss.

l2Loss(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an L2Loss operation to the graph

labels() - Method in class org.tensorflow.op.core.Skipgram

A vector of word ids.

labels(List<String>) - Static method in class org.tensorflow.op.core.TensorSummary

labels(List<String>) - Method in class org.tensorflow.op.core.TensorSummary.Options

lastLayerNodesRange() - Method in class org.tensorflow.op.core.BoostedTreesGetEnsembleStates

Rank size 2 tensor that contains start and end ids of the nodes in the latest layer.

LatencyStatsDataset - Class in org.tensorflow.op.core

Records the latency of producing `input_dataset` elements in a StatsAggregator.

latencyStatsDataset(Operand<?>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an LatencyStatsDataset operation to the graph

LearnedUnigramCandidateSampler - Class in org.tensorflow.op.core

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.Ops

Adds an LearnedUnigramCandidateSampler operation to the graph

LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.core

Optional attributes for LearnedUnigramCandidateSampler

leftNodeContribsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

A list of Rank 2 tensors indicating the contribution of the left nodes when branching from parent nodes (given by the tensor element in the output node_ids_list) to the left direction by the given threshold for each feature.

LeftShift<T extends Number> - Class in org.tensorflow.op.core

Elementwise computes the bitwise left-shift of `x` and `y`.

leftShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an LeftShift operation to the graph

length() - Method in class org.tensorflow.op.core.TensorListLength

lengths() - Method in class org.tensorflow.op.core.TensorArrayConcat

A vector of the row sizes of the original T elements in the value output.

Less - Class in org.tensorflow.op.core

Returns the truth value of (x < y) element-wise.

less(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Less operation to the graph

LessEqual - Class in org.tensorflow.op.core

Returns the truth value of (x <= y) element-wise.

lessEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an LessEqual operation to the graph

Lgamma<T extends Number> - Class in org.tensorflow.op.core

Computes the log of the absolute value of `Gamma(x)` element-wise.

lgamma(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Lgamma operation to the graph

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

Adds an LinSpace operation to the graph

littleEndian(Boolean) - Static method in class org.tensorflow.op.core.DecodeRaw

littleEndian(Boolean) - Method in class org.tensorflow.op.core.DecodeRaw.Options

LMDBReader - Class in org.tensorflow.op.core

A Reader that outputs the records from a LMDB file.

lMDBReader(LMDBReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an LMDBReader operation to the graph

LMDBReader.Options - Class in org.tensorflow.op.core

Optional attributes for LMDBReader

load(String, String...) - Static method in class org.tensorflow.SavedModelBundle

Load a saved model from an export directory.

LoadAndRemapMatrix - Class in org.tensorflow.op.core

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.Ops

Adds an LoadAndRemapMatrix operation to the graph

LoadAndRemapMatrix.Options - Class in org.tensorflow.op.core

Optional attributes for LoadAndRemapMatrix

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.

Log<T> - Class in org.tensorflow.op.core

Computes natural logarithm of x element-wise.

log(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Log operation to the graph

Log1p<T> - Class in org.tensorflow.op.core

Computes natural logarithm of (1 + x) element-wise.

log1p(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Log1p operation to the graph

logAbsDeterminant() - Method in class org.tensorflow.op.core.LogMatrixDeterminant

The logs of the absolute values of the determinants of the N input matrices.

LogicalAnd - Class in org.tensorflow.op.core

Returns the truth value of x AND y element-wise.

logicalAnd(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an LogicalAnd operation to the graph

LogicalNot - Class in org.tensorflow.op.core

Returns the truth value of NOT x element-wise.

logicalNot(Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an LogicalNot operation to the graph

LogicalOr - Class in org.tensorflow.op.core

Returns the truth value of x OR y element-wise.

logicalOr(Operand<Boolean>, Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an LogicalOr operation to the graph

logits() - Method in class org.tensorflow.op.core.BoostedTreesPredict

Output rank 2 Tensor containing logits for each example.

LogMatrixDeterminant<T> - Class in org.tensorflow.op.core

Computes the sign and the log of the absolute value of the determinant of

logMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an LogMatrixDeterminant operation to the graph

logProbability() - Method in class org.tensorflow.op.core.CTCBeamSearchDecoder

A matrix, shaped: `(batch_size x top_paths)`.

logProbability() - Method in class org.tensorflow.op.core.CTCGreedyDecoder

Matrix, size `(batch_size x 1)`, containing sequence log-probabilities.

LogSoftmax<T extends Number> - Class in org.tensorflow.op.core

Computes log softmax activations.

logsoftmax() - Method in class org.tensorflow.op.core.LogSoftmax

Same shape as `logits`.

logSoftmax(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an LogSoftmax operation to the graph

LogUniformCandidateSampler - Class in org.tensorflow.op.core

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.Ops

Adds an LogUniformCandidateSampler operation to the graph

LogUniformCandidateSampler.Options - Class in org.tensorflow.op.core

Optional attributes for LogUniformCandidateSampler

longValue() - Method in class org.tensorflow.Tensor

Returns the value in a scalar Long tensor.

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

Adds an LookupTableExport operation to the graph

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

Adds an LookupTableFind operation to the graph

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

Adds an LookupTableImport operation to the graph

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

Adds an LookupTableInsert operation to the graph

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

Adds an LookupTableSize operation to the graph

LoopCond - Class in org.tensorflow.op.core

Forwards the input to the output.

loopCond(Operand<Boolean>) - Method in class org.tensorflow.op.Ops

Adds an LoopCond operation to the graph

loss() - Method in class org.tensorflow.op.core.CTCLoss

A vector (batch) containing log-probabilities.

loss() - Method in class org.tensorflow.op.core.SoftmaxCrossEntropyWithLogits

Per example loss (batch_size vector).

loss() - Method in class org.tensorflow.op.core.SparseSoftmaxCrossEntropyWithLogits

Per example loss (batch_size vector).

lower(Boolean) - Static method in class org.tensorflow.op.core.BatchMatrixTriangularSolve

lower(Boolean) - Method in class org.tensorflow.op.core.BatchMatrixTriangularSolve.Options

lower(Boolean) - Static method in class org.tensorflow.op.core.MatrixTriangularSolve

lower(Boolean) - Method in class org.tensorflow.op.core.MatrixTriangularSolve.Options

lowerFrequencyLimit(Float) - Static method in class org.tensorflow.op.core.Mfcc

lowerFrequencyLimit(Float) - Method in class org.tensorflow.op.core.Mfcc.Options

LRN<T extends Number> - Class in org.tensorflow.op.core

Local Response Normalization.

lRN(Operand<T>, LRN.Options...) - Method in class org.tensorflow.op.Ops

Adds an LRN operation to the graph

LRN.Options - Class in org.tensorflow.op.core

Optional attributes for LRN

LRNGrad<T extends Number> - Class in org.tensorflow.op.core

Gradients for Local Response Normalization.

LRNGrad.Options - Class in org.tensorflow.op.core

Optional attributes for LRNGrad

M

magnitudeSquared(Boolean) - Static method in class org.tensorflow.op.core.AudioSpectrogram

magnitudeSquared(Boolean) - Method in class org.tensorflow.op.core.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.core

Makes a new iterator from the given `dataset` and stores it in `iterator`.

makeIterator(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an MakeIterator operation to the graph

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

Adds an MapClear operation to the graph

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

Adds an MapIncompleteSize operation to the graph

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

Adds an MapPeek operation to the graph

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

Adds an MapSize operation to the graph

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

Adds an MapStage operation to the graph

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

Adds an MapUnstage operation to the graph

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

Adds an MapUnstageNoKey operation to the graph

MapUnstageNoKey.Options - Class in org.tensorflow.op.core

Optional attributes for MapUnstageNoKey

MatchingFiles - Class in org.tensorflow.op.core

Returns the set of files matching one or more glob patterns.

matchingFiles(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an MatchingFiles operation to the graph

MatMul<T> - Class in org.tensorflow.op.core

Multiply the matrix "a" by the matrix "b".

matMul(Operand<T>, Operand<T>, MatMul.Options...) - Method in class org.tensorflow.op.Ops

Adds an MatMul operation to the graph

MatMul.Options - Class in org.tensorflow.op.core

Optional attributes for MatMul

MatrixBandPart<T> - Class in org.tensorflow.op.core

Copy a tensor setting everything outside a central band in each innermost matrix

matrixBandPart(Operand<T>, Operand<U>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an MatrixBandPart operation to the graph

MatrixDeterminant<T> - Class in org.tensorflow.op.core

Computes the determinant of one or more square matrices.

matrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an MatrixDeterminant operation to the graph

MatrixDiag<T> - Class in org.tensorflow.op.core

Returns a batched diagonal tensor with a given batched diagonal values.

matrixDiag(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an MatrixDiag operation to the graph

MatrixDiagPart<T> - Class in org.tensorflow.op.core

Returns the batched diagonal part of a batched tensor.

matrixDiagPart(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an MatrixDiagPart operation to the graph

MatrixExponential<T> - Class in org.tensorflow.op.core

Computes the matrix exponential of one or more square matrices:

matrixExponential(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an MatrixExponential operation to the graph

MatrixInverse<T> - Class in org.tensorflow.op.core

Computes the inverse of one or more square invertible matrices or their

matrixInverse(Operand<T>, MatrixInverse.Options...) - Method in class org.tensorflow.op.Ops

Adds an MatrixInverse operation to the graph

MatrixInverse.Options - Class in org.tensorflow.op.core

Optional attributes for MatrixInverse

MatrixLogarithm<T> - Class in org.tensorflow.op.core

Computes the matrix logarithm of one or more square matrices:

MatrixSetDiag<T> - Class in org.tensorflow.op.core

Returns a batched matrix tensor with new batched diagonal values.

matrixSetDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an MatrixSetDiag operation to the graph

MatrixSolve<T> - Class in org.tensorflow.op.core

Solves systems of linear equations.

matrixSolve(Operand<T>, Operand<T>, MatrixSolve.Options...) - Method in class org.tensorflow.op.Ops

Adds an MatrixSolve operation to the graph

MatrixSolve.Options - Class in org.tensorflow.op.core

Optional attributes for MatrixSolve

MatrixSolveLs<T> - Class in org.tensorflow.op.core

Solves one or more linear least-squares problems.

matrixSolveLs(Operand<T>, Operand<T>, Operand<Double>, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.Ops

Adds an MatrixSolveLs operation to the graph

MatrixSolveLs.Options - Class in org.tensorflow.op.core

Optional attributes for MatrixSolveLs

MatrixTriangularSolve<T> - Class in org.tensorflow.op.core

Solves systems of linear equations with upper or lower triangular matrices by

matrixTriangularSolve(Operand<T>, Operand<T>, MatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.Ops

Adds an MatrixTriangularSolve operation to the graph

MatrixTriangularSolve.Options - Class in org.tensorflow.op.core

Optional attributes for MatrixTriangularSolve

max(Float) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs

max(Float) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs.Options

max(Float) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

max(Float) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient.Options

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

Adds an Max operation to the graph

Max.Options - Class in org.tensorflow.op.core

Optional attributes for Max

maxActivations() - Method in class org.tensorflow.op.core.QuantizedRelu

The float value that the highest quantized value represents.

maxActivations() - Method in class org.tensorflow.op.core.QuantizedRelu6

The float value that the highest quantized value represents.

maxActivations() - Method in class org.tensorflow.op.core.QuantizedReluX

The float value that the highest quantized value represents.

maxAttempts(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

maxAttempts(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox.Options

maxAttempts(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

maxAttempts(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.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.core.ImageSummary

maxImages(Long) - Method in class org.tensorflow.op.core.ImageSummary.Options

maxImages(Long) - Static method in class org.tensorflow.op.core.WriteImageSummary

maxImages(Long) - Method in class org.tensorflow.op.core.WriteImageSummary.Options

Maximum<T extends Number> - Class in org.tensorflow.op.core

Returns the max of x and y (i.e.

maximum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Maximum operation to the graph

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.core.QuantizedBiasAdd

The float value that the highest quantized output value represents.

maxOut() - Method in class org.tensorflow.op.core.QuantizedMatMul

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedAvgPool

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedConv2D

The float value that the highest quantized output value represents.

maxOutput() - Method in class org.tensorflow.op.core.QuantizedMaxPool

The float value that the highest quantized output value represents.

maxOutputs(Long) - Static method in class org.tensorflow.op.core.AudioSummary

maxOutputs(Long) - Method in class org.tensorflow.op.core.AudioSummary.Options

maxOutputs(Long) - Static method in class org.tensorflow.op.core.WriteAudioSummary

maxOutputs(Long) - Method in class org.tensorflow.op.core.WriteAudioSummary.Options

MaxPool<T> - Class in org.tensorflow.op.core

Performs max pooling on the input.

maxPool(Operand<T>, List<Long>, List<Long>, String, MaxPool.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPool operation to the graph

MaxPool.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPool

MaxPool3D<T extends Number> - Class in org.tensorflow.op.core

Performs 3D max pooling on the input.

maxPool3D(Operand<T>, List<Long>, List<Long>, String, MaxPool3D.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPool3D operation to the graph

MaxPool3D.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPool3D

MaxPool3DGrad<U extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an MaxPool3DGrad operation to the graph

MaxPool3DGrad.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPool3DGrad

MaxPool3DGradGrad<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an MaxPool3DGradGrad operation to the graph

MaxPool3DGradGrad.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPool3DGradGrad

MaxPoolGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients of the maxpooling function.

MaxPoolGrad.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPoolGrad

MaxPoolGradGrad<T extends Number> - Class in org.tensorflow.op.core

Computes second-order gradients of the maxpooling function.

maxPoolGradGrad(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolGradGrad operation to the graph

MaxPoolGradGrad.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPoolGradGrad

MaxPoolGradGradV2<T extends Number> - Class in org.tensorflow.op.core

Computes second-order gradients of the maxpooling function.

maxPoolGradGradV2(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradGradV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolGradGradV2 operation to the graph

MaxPoolGradGradV2.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPoolGradGradV2

MaxPoolGradGradWithArgmax<T extends Number> - Class in org.tensorflow.op.core

Computes second-order gradients of the maxpooling function.

maxPoolGradGradWithArgmax(Operand<T>, Operand<T>, Operand<U>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolGradGradWithArgmax operation to the graph

MaxPoolGradV2<T extends Number> - Class in org.tensorflow.op.core

Computes gradients of the maxpooling function.

maxPoolGradV2(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolGradV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolGradV2 operation to the graph

MaxPoolGradV2.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPoolGradV2

MaxPoolGradWithArgmax<T extends Number> - Class in org.tensorflow.op.core

Computes gradients of the maxpooling function.

MaxPoolV2<T> - Class in org.tensorflow.op.core

Performs max pooling on the input.

maxPoolV2(Operand<T>, Operand<Integer>, Operand<Integer>, String, MaxPoolV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolV2 operation to the graph

MaxPoolV2.Options - Class in org.tensorflow.op.core

Optional attributes for MaxPoolV2

MaxPoolWithArgmax<T extends Number,U extends Number> - Class in org.tensorflow.op.core

Performs max pooling on the input and outputs both max values and indices.

maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, Class<U>, String) - Method in class org.tensorflow.op.Ops

Adds an MaxPoolWithArgmax operation to the graph

maxRowsInMemory(Long) - Static method in class org.tensorflow.op.core.LoadAndRemapMatrix

maxRowsInMemory(Long) - Method in class org.tensorflow.op.core.LoadAndRemapMatrix.Options

maxsplit(Long) - Static method in class org.tensorflow.op.core.StringSplitV2

maxsplit(Long) - Method in class org.tensorflow.op.core.StringSplitV2.Options

maxZ() - Method in class org.tensorflow.op.core.QuantizedAdd

The float value that the highest quantized output value represents.

maxZ() - Method in class org.tensorflow.op.core.QuantizedMul

The float value that the highest quantized output value represents.

Mean<T> - Class in org.tensorflow.op.core

Computes the mean of elements across dimensions of a tensor.

mean(Operand<T>, Operand<U>, Mean.Options...) - Method in class org.tensorflow.op.Ops

Adds an Mean operation to the graph

Mean.Options - Class in org.tensorflow.op.core

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(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Merge operation to the graph

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.core.CTCBeamSearchDecoder

mergeRepeated(Boolean) - Method in class org.tensorflow.op.core.CTCBeamSearchDecoder.Options

mergeRepeated(Boolean) - Static method in class org.tensorflow.op.core.CTCGreedyDecoder

mergeRepeated(Boolean) - Method in class org.tensorflow.op.core.CTCGreedyDecoder.Options

MergeSummary - Class in org.tensorflow.op.core

Merges summaries.

mergeSummary(Iterable<Operand<String>>) - Method in class org.tensorflow.op.Ops

Adds an MergeSummary operation to the graph

MergeV2Checkpoints - Class in org.tensorflow.op.core

V2 format specific: merges the metadata files of sharded checkpoints.

mergeV2Checkpoints(Operand<String>, Operand<String>, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.Ops

Adds an MergeV2Checkpoints operation to the graph

MergeV2Checkpoints.Options - Class in org.tensorflow.op.core

Optional attributes for MergeV2Checkpoints

message(String) - Static method in class org.tensorflow.op.core.PreventGradient

message(String) - Method in class org.tensorflow.op.core.PreventGradient.Options

message(String) - Static method in class org.tensorflow.op.core.Print

message(String) - Method in class org.tensorflow.op.core.Print.Options

messageFormat(String) - Static method in class org.tensorflow.op.core.DecodeProtoV2

messageFormat(String) - Method in class org.tensorflow.op.core.DecodeProtoV2.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.core.CropAndResize

method(String) - Method in class org.tensorflow.op.core.CropAndResize.Options

method(String) - Static method in class org.tensorflow.op.core.CropAndResizeGradBoxes

method(String) - Method in class org.tensorflow.op.core.CropAndResizeGradBoxes.Options

method(String) - Static method in class org.tensorflow.op.core.CropAndResizeGradImage

method(String) - Method in class org.tensorflow.op.core.CropAndResizeGradImage.Options

Mfcc - Class in org.tensorflow.op.core

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.Ops

Adds an Mfcc operation to the graph

Mfcc.Options - Class in org.tensorflow.op.core

Optional attributes for Mfcc

min(Float) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs

min(Float) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs.Options

min(Float) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

min(Float) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient.Options

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

Adds an Min operation to the graph

Min.Options - Class in org.tensorflow.op.core

Optional attributes for Min

minActivations() - Method in class org.tensorflow.op.core.QuantizedRelu

The float value that the lowest quantized value represents.

minActivations() - Method in class org.tensorflow.op.core.QuantizedRelu6

The float value that the lowest quantized value represents.

minActivations() - Method in class org.tensorflow.op.core.QuantizedReluX

The float value that the lowest quantized value represents.

minAfterDequeue(Long) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

minAfterDequeue(Long) - Method in class org.tensorflow.op.core.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.core

Returns the min of x and y (i.e.

minimum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Minimum operation to the graph

minObjectCovered(Float) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

minObjectCovered(Float) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox.Options

minOut() - Method in class org.tensorflow.op.core.QuantizedBiasAdd

The float value that the lowest quantized output value represents.

minOut() - Method in class org.tensorflow.op.core.QuantizedMatMul

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedAvgPool

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedConv2D

The float value that the lowest quantized output value represents.

minOutput() - Method in class org.tensorflow.op.core.QuantizedMaxPool

The float value that the lowest quantized output value represents.

minSeparation(Float) - Static method in class org.tensorflow.op.core.QuantizedInstanceNorm

minSeparation(Float) - Method in class org.tensorflow.op.core.QuantizedInstanceNorm.Options

minZ() - Method in class org.tensorflow.op.core.QuantizedAdd

The float value that the lowest quantized output value represents.

minZ() - Method in class org.tensorflow.op.core.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

Adds an MirrorPad operation to the graph

MirrorPadGrad<T> - Class in org.tensorflow.op.core

Gradient op for `MirrorPad` op.

Mod<T extends Number> - Class in org.tensorflow.op.core

Returns element-wise remainder of division.

mod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Mod operation to the graph

mode(String) - Static method in class org.tensorflow.op.core.Dequantize

mode(String) - Method in class org.tensorflow.op.core.Dequantize.Options

mode(String) - Static method in class org.tensorflow.op.core.QuantizeV2

mode(String) - Method in class org.tensorflow.op.core.QuantizeV2.Options

Mul<T> - Class in org.tensorflow.op.core

Returns x * y element-wise.

mul(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Mul operation to the graph

Multinomial<U extends Number> - Class in org.tensorflow.op.core

Draws samples from a multinomial distribution.

multinomial(Operand<T>, Operand<Integer>, Class<U>, Multinomial.Options...) - Method in class org.tensorflow.op.Ops

Adds an Multinomial operation to the graph

Multinomial.Options - Class in org.tensorflow.op.core

Optional attributes for Multinomial

Multiply<T> - Class in org.tensorflow.op.core

Returns x * y element-wise.

multiply(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Multiply operation to the graph

MutableDenseHashTable - Class in org.tensorflow.op.core

Creates an empty hash table that uses tensors as the backing store.

mutableDenseHashTable(Operand<T>, Class<U>, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops

Adds an MutableDenseHashTable operation to the graph

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

Adds an MutableHashTable operation to the graph

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

Adds an MutableHashTableOfTensors operation to the graph

MutableHashTableOfTensors.Options - Class in org.tensorflow.op.core

Optional attributes for MutableHashTableOfTensors

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

Adds an MutexLock operation to the graph

MutexV2 - Class in org.tensorflow.op.core

Creates a Mutex resource that can be locked by `MutexLock`.

mutexV2(MutexV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an MutexV2 operation to the graph

MutexV2.Options - Class in org.tensorflow.op.core

Optional attributes for MutexV2

N

name() - Method in class org.tensorflow.Operation

Returns the full name of the Operation.

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel.Options

narrowRange(Boolean) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

narrowRange(Boolean) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient.Options

naValue(String) - Static method in class org.tensorflow.op.core.DecodeCSV

naValue(String) - Method in class org.tensorflow.op.core.DecodeCSV.Options

Neg<T> - Class in org.tensorflow.op.core

Computes numerical negative value element-wise.

neg(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Neg operation to the graph

Negate<T> - Class in org.tensorflow.op.core

Computes numerical negative value element-wise.

negate(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Negate operation to the graph

NegTrain - Class in org.tensorflow.op.core

Training via negative sampling.

negTrain(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Integer>, Operand<Float>, List<Long>, Long) - Method in class org.tensorflow.op.Ops

Adds an NegTrain operation to the graph

newAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

newAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

NextIteration<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

Adds an NextIteration operation to the graph

nodeIds() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 1 Tensor containing new node ids in the new tree_ids.

nodeIdsList() - Method in class org.tensorflow.op.core.BoostedTreesCalculateBestGainsPerFeature

An output list of Rank 1 tensors indicating possible split node ids for each feature.

NonMaxSuppression - Class in org.tensorflow.op.core

Greedily selects a subset of bounding boxes in descending order of score,

nonMaxSuppression(Operand<Float>, Operand<Float>, Operand<Integer>, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.Ops

Adds an NonMaxSuppression operation to the graph

NonMaxSuppression.Options - Class in org.tensorflow.op.core

Optional attributes for NonMaxSuppression

NonMaxSuppressionV2 - Class in org.tensorflow.op.core

Greedily selects a subset of bounding boxes in descending order of score,

nonMaxSuppressionV2(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an NonMaxSuppressionV2 operation to the graph

NonMaxSuppressionV3 - Class in org.tensorflow.op.core

Greedily selects a subset of bounding boxes in descending order of score,

nonMaxSuppressionV3(Operand<Float>, Operand<Float>, Operand<Integer>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an NonMaxSuppressionV3 operation to the graph

NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.core

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.Ops

Adds an NonMaxSuppressionWithOverlaps operation to the graph

NoOp - Class in org.tensorflow.op.core

Does nothing.

noOp() - Method in class org.tensorflow.op.Ops

Adds an NoOp operation to the graph

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.core.ExtractGlimpse

normalized(Boolean) - Method in class org.tensorflow.op.core.ExtractGlimpse.Options

NotEqual - Class in org.tensorflow.op.core

Returns the truth value of (x != y) element-wise.

notEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an NotEqual operation to the graph

NthElement<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an NthElement operation to the graph

NthElement.Options - Class in org.tensorflow.op.core

Optional attributes for NthElement

numAccumulated() - Method in class org.tensorflow.op.core.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.core.FakeQuantWithMinMaxArgs

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgs.Options

numBits(Long) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxArgsGradient.Options

numBits(Long) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars.Options

numBits(Long) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsGradient.Options

numBits(Long) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel.Options

numBits(Long) - Static method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient

numBits(Long) - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannelGradient.Options

numBits(Long) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

numBits(Long) - Method in class org.tensorflow.op.core.QuantizeAndDequantize.Options

numBits(Long) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

numBits(Long) - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV2.Options

numBytes() - Method in class org.tensorflow.Tensor

Returns the size, in bytes, of the tensor data.

numDimensions() - Method in class org.tensorflow.Shape

Number of dimensions represented by this shape.

numDimensions() - Method in class org.tensorflow.Tensor

Returns the number of dimensions (sometimes referred to as rank) of the Tensor.

numElements(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.Operation

Returns the number of tensors produced by this operation.

numPresent() - Method in class org.tensorflow.op.core.GenerateVocabRemapping

Number of new vocab entries found in old vocab.

numReservedIds(Long) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

numReservedIds(Long) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

numShards(Long) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

numShards(Long) - Method in class org.tensorflow.op.core.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.FusedBatchNormGrad

A 1D Tensor for the gradient with respect to offset.

offsetBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGradV2

A 1D Tensor for the gradient with respect to offset.

oldVocabSize(Long) - Static method in class org.tensorflow.op.core.GenerateVocabRemapping

oldVocabSize(Long) - Method in class org.tensorflow.op.core.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

Adds an OneHot operation to the graph

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

Adds an OnesLike operation to the graph

Op - Interface in org.tensorflow.op

A marker interface for all operation wrappers.

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.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

Underlying operation.

Operation - Class in org.tensorflow

A Graph node that performs computation on Tensors.

OperationBuilder - Class in org.tensorflow

A builder for Operations in a Graph.

operations() - Method in class org.tensorflow.Graph

Iterator over all the Operations in the graph.

Operator - Annotation Type in org.tensorflow.op.annotation

Annotation used by classes to make TensorFlow operations conveniently accessible via org.tensorflow.op.Ops.

Ops - Class in org.tensorflow.op

An API for building a Graph with operation wrappers

OptimizeDataset - Class in org.tensorflow.op.core

Creates a dataset by applying optimizations to `input_dataset`.

optimizeSize(Boolean) - Static method in class org.tensorflow.op.core.EncodeJpeg

optimizeSize(Boolean) - Method in class org.tensorflow.op.core.EncodeJpeg.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

Adds an OrderedMapClear operation to the graph

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

Adds an OrderedMapIncompleteSize operation to the graph

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

Adds an OrderedMapPeek operation to the graph

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

Adds an OrderedMapSize operation to the graph

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

Adds an OrderedMapStage operation to the graph

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

Adds an OrderedMapUnstage operation to the graph

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

Adds an OrderedMapUnstageNoKey operation to the graph

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.core - package org.tensorflow.op.core

org.tensorflow.types - package org.tensorflow.types

Defines classes that represent TensorFlow data types.

out() - Method in class org.tensorflow.op.core.ApplyAdadelta

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyAdagradDA

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyAdam

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyAdaMax

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyAddSign

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyCenteredRMSProp

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyFtrl

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyFtrlV2

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyMomentum

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyPowerSign

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyProximalAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyProximalGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.core.ApplyRMSProp

Same as "var".

out() - Method in class org.tensorflow.op.core.Complex

out() - Method in class org.tensorflow.op.core.Cumprod

out() - Method in class org.tensorflow.op.core.Cumsum

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.QuantizedMatMul

out() - Method in class org.tensorflow.op.core.SetDiff1D

1-D.

out() - Method in class org.tensorflow.op.core.SparseApplyAdadelta

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyAdagradDA

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyCenteredRMSProp

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyFtrl

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyFtrlV2

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyMomentum

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyProximalAdagrad

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyProximalGradientDescent

Same as "var".

out() - Method in class org.tensorflow.op.core.SparseApplyRMSProp

Same as "var".

outDeltaDenseWeights() - Method in class org.tensorflow.op.core.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.core.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.core.SdcaOptimizer

a list of vectors containing the updated example state data.

outMax() - Method in class org.tensorflow.op.core.QuantizedResizeBilinear

outMin() - Method in class org.tensorflow.op.core.QuantizedResizeBilinear

output() - Method in class org.tensorflow.op.core.AdjustContrast

The contrast-adjusted image or images.

output() - Method in class org.tensorflow.op.core.AdjustHue

The hue-adjusted image or images.

output() - Method in class org.tensorflow.op.core.AdjustSaturation

The hue-adjusted image or images.

output() - Method in class org.tensorflow.op.core.All

The reduced tensor.

output() - Method in class org.tensorflow.op.core.Angle

output() - Method in class org.tensorflow.op.core.Any

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ArgMax

output() - Method in class org.tensorflow.op.core.ArgMin

output() - Method in class org.tensorflow.op.core.AsString

output() - Method in class org.tensorflow.op.core.AvgPool

The average pooled output tensor.

output() - Method in class org.tensorflow.op.core.AvgPool3D

The average pooled output tensor.

output() - Method in class org.tensorflow.op.core.AvgPool3DGrad

The backprop for input.

output() - Method in class org.tensorflow.op.core.AvgPoolGrad

4-D.

output() - Method in class org.tensorflow.op.core.BatchCholesky

output() - Method in class org.tensorflow.op.core.BatchCholeskyGrad

output() - Method in class org.tensorflow.op.core.BatchFFT

output() - Method in class org.tensorflow.op.core.BatchFFT2D

output() - Method in class org.tensorflow.op.core.BatchFFT3D

output() - Method in class org.tensorflow.op.core.BatchIFFT

output() - Method in class org.tensorflow.op.core.BatchIFFT2D

output() - Method in class org.tensorflow.op.core.BatchIFFT3D

output() - Method in class org.tensorflow.op.core.BatchMatMul

3-D or higher with shape `[..., r_o, c_o]`

output() - Method in class org.tensorflow.op.core.BatchMatrixDeterminant

output() - Method in class org.tensorflow.op.core.BatchMatrixDiag

output() - Method in class org.tensorflow.op.core.BatchMatrixInverse

output() - Method in class org.tensorflow.op.core.BatchMatrixSetDiag

output() - Method in class org.tensorflow.op.core.BatchMatrixSolve

output() - Method in class org.tensorflow.op.core.BatchMatrixSolveLs

output() - Method in class org.tensorflow.op.core.BatchMatrixTriangularSolve

output() - Method in class org.tensorflow.op.core.BatchSelfAdjointEig

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.BiasAdd

Broadcasted sum of `value` and `bias`.

output() - Method in class org.tensorflow.op.core.BiasAddGrad

1-D with size the feature dimension of `out_backprop`.

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.CheckNumerics

output() - Method in class org.tensorflow.op.core.Cholesky

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.core.CholeskyGrad

Symmetrized version of df/dA .

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.CompareAndBitpack

The bitpacked comparisons.

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.Conj

output() - Method in class org.tensorflow.op.core.Const

output() - Method in class org.tensorflow.op.core.Conv2D

A 4-D tensor.

output() - Method in class org.tensorflow.op.core.Conv2DBackpropFilter

4-D with shape `[filter_height, filter_width, in_channels, out_channels]`.

output() - Method in class org.tensorflow.op.core.Conv2DBackpropInput

4-D with shape `[batch, in_height, in_width, in_channels]`.

output() - Method in class org.tensorflow.op.core.Conv3D

output() - Method in class org.tensorflow.op.core.Conv3DBackpropFilter

output() - Method in class org.tensorflow.op.core.Conv3DBackpropFilterV2

output() - Method in class org.tensorflow.op.core.Conv3DBackpropInput

output() - Method in class org.tensorflow.op.core.Conv3DBackpropInputV2

output() - Method in class org.tensorflow.op.core.CountUpTo

A copy of the input before increment.

output() - Method in class org.tensorflow.op.core.CropAndResizeGradBoxes

A 2-D tensor of shape `[num_boxes, 4]`.

output() - Method in class org.tensorflow.op.core.CropAndResizeGradImage

A 4-D tensor of shape `[batch, image_height, image_width, depth]`.

output() - Method in class org.tensorflow.op.core.CudnnRNN

output() - Method in class org.tensorflow.op.core.CudnnRNNV2

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.DecodeBase64

Decoded strings.

output() - Method in class org.tensorflow.op.core.DecodeCompressed

A Tensor with the same shape as input `bytes`, uncompressed from bytes.

output() - Method in class org.tensorflow.op.core.DecodeCSV

Each tensor will have the same shape as records.

output() - Method in class org.tensorflow.op.core.DecodeRaw

A Tensor with one more dimension than the input `bytes`.

output() - Method in class org.tensorflow.op.core.DepthToSpace

output() - Method in class org.tensorflow.op.core.DepthwiseConv2dNative

output() - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropFilter

4-D with shape `[filter_height, filter_width, in_channels, out_channels]`.

output() - Method in class org.tensorflow.op.core.DepthwiseConv2dNativeBackpropInput

4-D with shape according to `data_format`.

output() - Method in class org.tensorflow.op.core.Dequantize

output() - Method in class org.tensorflow.op.core.Diag

output() - Method in class org.tensorflow.op.core.Dilation2D

4-D with shape `[batch, out_height, out_width, depth]`.

output() - Method in class org.tensorflow.op.core.DrawBoundingBoxes

4-D with the same shape as `images`.

output() - Method in class org.tensorflow.op.core.EagerPyFunc

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.EncodeBase64

Input strings encoded in base64.

output() - Method in class org.tensorflow.op.core.Enter

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.Exit

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.ExpandDims

Contains the same data as `input`, but its shape has an additional dimension of size 1 added.

output() - Method in class org.tensorflow.op.core.FFT

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.FFT2D

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.FFT3D

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.Fill

output() - Method in class org.tensorflow.op.core.FractionalAvgPool

output tensor after fractional avg pooling.

output() - Method in class org.tensorflow.op.core.FractionalAvgPoolGrad

4-D.

output() - Method in class org.tensorflow.op.core.FractionalMaxPool

output tensor after fractional max pooling.

output() - Method in class org.tensorflow.op.core.FractionalMaxPoolGrad

4-D.

output() - Method in class org.tensorflow.op.core.FusedPadConv2D

output() - Method in class org.tensorflow.op.core.FusedResizeAndPadConv2D

output() - Method in class org.tensorflow.op.core.Gather

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.GatherV2

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.GuaranteeConst

output() - Method in class org.tensorflow.op.core.HSVToRGB

`images` converted to RGB.

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.IFFT

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.IFFT2D

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.IFFT3D

A complex64 tensor of the same shape as `input`.

output() - Method in class org.tensorflow.op.core.Imag

output() - Method in class org.tensorflow.op.core.IRFFT

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.IRFFT2D

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.IRFFT3D

A float32 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.L2Loss

0-D.

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.LRN

output() - Method in class org.tensorflow.op.core.LRNGrad

The gradients for LRN.

output() - Method in class org.tensorflow.op.core.MatrixDeterminant

Shape is `[...]`.

output() - Method in class org.tensorflow.op.core.MatrixDiag

Rank `k+1`, with `output.shape = diagonal.shape + [diagonal.shape[-1]]`.

output() - Method in class org.tensorflow.op.core.MatrixExponential

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.core.MatrixInverse

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.core.MatrixLogarithm

Shape is `[..., M, M]`.

output() - Method in class org.tensorflow.op.core.MatrixSetDiag

Rank `k+1`, with `output.shape = input.shape`.

output() - Method in class org.tensorflow.op.core.MatrixSolve

Shape is `[..., M, K]`.

output() - Method in class org.tensorflow.op.core.MatrixSolveLs

Shape is `[..., N, K]`.

output() - Method in class org.tensorflow.op.core.MatrixTriangularSolve

Shape is `[..., M, K]`.

output() - Method in class org.tensorflow.op.core.Max

The reduced tensor.

output() - Method in class org.tensorflow.op.core.MaxPool

The max pooled output tensor.

output() - Method in class org.tensorflow.op.core.MaxPool3D

The max pooled output tensor.

output() - Method in class org.tensorflow.op.core.MaxPool3DGrad

output() - Method in class org.tensorflow.op.core.MaxPool3DGradGrad

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGrad

Gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGradGrad

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGradGradV2

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGradGradWithArgmax

Gradients of gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGradV2

Gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolGradWithArgmax

Gradients w.r.t.

output() - Method in class org.tensorflow.op.core.MaxPoolV2

The max pooled output tensor.

output() - Method in class org.tensorflow.op.core.MaxPoolWithArgmax

The max pooled output tensor.

output() - Method in class org.tensorflow.op.core.Mean

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.Mfcc

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.Multinomial

2-D Tensor with shape `[batch_size, num_samples]`.

output() - Method in class org.tensorflow.op.core.NextIteration

The same tensor as `data`.

output() - Method in class org.tensorflow.op.core.OneHot

The one-hot tensor.

output() - Method in class org.tensorflow.op.core.Pad

output() - Method in class org.tensorflow.op.core.PadV2

output() - Method in class org.tensorflow.op.core.ParallelConcat

The concatenated tensor.

output() - Method in class org.tensorflow.op.core.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.core.ParseTensor

A Tensor of type `out_type`.

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.PlaceholderV2

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.PreventGradient

the same input tensor.

output() - Method in class org.tensorflow.op.core.Print

= The unmodified `input` tensor

output() - Method in class org.tensorflow.op.core.Prod

The reduced tensor.

output() - Method in class org.tensorflow.op.core.QuantizeAndDequantize

output() - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

output() - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV3

output() - Method in class org.tensorflow.op.core.QuantizedAvgPool

output() - Method in class org.tensorflow.op.core.QuantizedBiasAdd

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.QuantizedConv2D

output() - Method in class org.tensorflow.op.core.QuantizedMaxPool

output() - Method in class org.tensorflow.op.core.QuantizeDownAndShrinkRange

output() - Method in class org.tensorflow.op.core.QuantizedReshape

output() - Method in class org.tensorflow.op.core.QuantizeV2

The quantized data produced from the float input.

output() - Method in class org.tensorflow.op.core.RandomCrop

3-D of shape `[crop_height, crop_width, channels].`

output() - Method in class org.tensorflow.op.core.RandomGamma

A tensor with shape `shape + shape(alpha)`.

output() - Method in class org.tensorflow.op.core.RandomGammaGrad

output() - Method in class org.tensorflow.op.core.RandomNormal

A tensor of the specified shape filled with random normal values.

output() - Method in class org.tensorflow.op.core.RandomPoisson

output() - Method in class org.tensorflow.op.core.RandomPoissonV2

A tensor with shape `shape + shape(rate)`.

output() - Method in class org.tensorflow.op.core.RandomShuffle

A tensor of same shape and type as `value`, shuffled along its first dimension.

output() - Method in class org.tensorflow.op.core.RandomUniform

A tensor of the specified shape filled with uniform random values.

output() - Method in class org.tensorflow.op.core.RandomUniformInt

A tensor of the specified shape filled with uniform random integers.

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.Real

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.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.core.ReduceMax

The reduced tensor.

output() - Method in class org.tensorflow.op.core.ReduceMean

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.RegexFullMatch

A bool tensor with the same shape as `input`.

output() - Method in class org.tensorflow.op.core.RegexReplace

The text after applying pattern and rewrite.

output() - Method in class org.tensorflow.op.core.Requantize

output() - Method in class org.tensorflow.op.core.Reshape

output() - Method in class org.tensorflow.op.core.ResizeBicubicGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.core.ResizeBilinearGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.core.ResizeNearestNeighborGrad

4-D with shape `[batch, orig_height, orig_width, channels]`.

output() - Method in class org.tensorflow.op.core.ResourceCountUpTo

A copy of the input before increment.

output() - Method in class org.tensorflow.op.core.ResourceGather

output() - Method in class org.tensorflow.op.core.Reverse

The same shape as `tensor`.

output() - Method in class org.tensorflow.op.core.ReverseSequence

The partially reversed input.

output() - Method in class org.tensorflow.op.core.RFFT

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.RFFT2D

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.RFFT3D

A complex64 tensor of the same rank as `input`.

output() - Method in class org.tensorflow.op.core.RGBToHSV

`images` converted to HSV.

output() - Method in class org.tensorflow.op.core.Roll

Has the same shape and size as the input.

output() - Method in class org.tensorflow.op.core.ScatterNd

A new tensor with the given shape and updates applied according to the indices.

output() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd

A `Tensor` with the same shape as `input`, containing values of `input` updated with `updates`.

output() - Method in class org.tensorflow.op.core.SdcaFprint

a (N,2) shaped matrix where N is the number of elements in the input vector.

output() - Method in class org.tensorflow.op.core.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.core.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.core.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.core.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.core.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.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.SpaceToBatch

output() - Method in class org.tensorflow.op.core.SpaceToBatchND

output() - Method in class org.tensorflow.op.core.SpaceToDepth

output() - Method in class org.tensorflow.op.core.SparseDenseCwiseAdd

1-D.

output() - Method in class org.tensorflow.op.core.SparseDenseCwiseDiv

1-D.

output() - Method in class org.tensorflow.op.core.SparseDenseCwiseMul

1-D.

output() - Method in class org.tensorflow.op.core.SparseReduceMax

`R-K`-D.

output() - Method in class org.tensorflow.op.core.SparseReduceSum

`R-K`-D.

output() - Method in class org.tensorflow.op.core.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.core.SparseSegmentMeanGrad

output() - Method in class org.tensorflow.op.core.SparseSegmentMeanWithNumSegments

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.core.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.core.SparseSegmentSqrtNGrad

output() - Method in class org.tensorflow.op.core.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.core.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.core.SparseSegmentSumWithNumSegments

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.core.SparseSoftmax

1-D.

output() - Method in class org.tensorflow.op.core.SparseTensorDenseAdd

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.StatelessMultinomial

2-D Tensor with shape `[batch_size, num_samples]`.

output() - Method in class org.tensorflow.op.core.StatelessRandomNormal

Random values with specified shape.

output() - Method in class org.tensorflow.op.core.StatelessRandomUniform

Random values with specified shape.

output() - Method in class org.tensorflow.op.core.StatelessTruncatedNormal

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.StringJoin

output() - Method in class org.tensorflow.op.core.StringStrip

A string `Tensor` of the same shape as the input.

output() - Method in class org.tensorflow.op.core.StringToHashBucket

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.core.StringToHashBucketFast

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.core.StringToHashBucketStrong

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.core.StringToNumber

A Tensor of the same shape as the input `string_tensor`.

output() - Method in class org.tensorflow.op.core.Substr

Tensor of substrings

output() - Method in class org.tensorflow.op.core.Sum

The reduced tensor.

output() - Method in class org.tensorflow.op.core.TensorListConcatLists

output() - Method in class org.tensorflow.op.core.Tile

output() - Method in class org.tensorflow.op.core.TileGrad

output() - Method in class org.tensorflow.op.core.TruncatedNormal

A tensor of the specified shape filled with random truncated normal values.

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.UnsortedSegmentMax

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.core.UnsortedSegmentMin

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.core.UnsortedSegmentProd

Has same shape as data, except for dimension 0 which has size `num_segments`.

output() - Method in class org.tensorflow.op.core.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.core.Unstack

The list of tensors unpacked from `value`.

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(int) - Method in class org.tensorflow.Operation

Returns a symbolic handle to one of the tensors produced by this operation.

Output<T> - Class in org.tensorflow

A symbolic handle to a tensor produced by an Operation.

Output(Operation, int) - Constructor for class org.tensorflow.Output

Handle to the idx-th output of the Operation op.

outputC() - Method in class org.tensorflow.op.core.CudnnRNN

outputC() - Method in class org.tensorflow.op.core.CudnnRNNV2

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.Switch

If `pred` is false, data will be forwarded to this output.

outputH() - Method in class org.tensorflow.op.core.CudnnRNN

outputH() - Method in class org.tensorflow.op.core.CudnnRNNV2

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.TensorListSetItem

outputHandles() - Method in class org.tensorflow.op.core.TensorListPushBackBatch

outputIndices() - Method in class org.tensorflow.op.core.SparseConcat

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseCross

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseFillEmptyRows

outputIndices() - Method in class org.tensorflow.op.core.SparseReduceMaxSparse

outputIndices() - Method in class org.tensorflow.op.core.SparseReduceSumSparse

outputIndices() - Method in class org.tensorflow.op.core.SparseReorder

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseReshape

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseSlice

outputIndices() - Method in class org.tensorflow.op.core.SparseSparseMaximum

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseSparseMinimum

2-D.

outputIndices() - Method in class org.tensorflow.op.core.SparseSplit

outputList(int, int) - Method in class org.tensorflow.Operation

Returns symbolic handles to a list of tensors produced by this operation.

outputListLength(String) - Method in class org.tensorflow.Operation

Returns the size of the list of Tensors produced by this operation.

outputMatrix() - Method in class org.tensorflow.op.core.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.QuantizeDownAndShrinkRange

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.QuantizeV2

The actual maximum scalar value used for the output.

outputMax() - Method in class org.tensorflow.op.core.RequantizationRange

the computed max output.

outputMax() - Method in class org.tensorflow.op.core.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.QuantizeDownAndShrinkRange

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.QuantizeV2

The actual minimum scalar value used for the output.

outputMin() - Method in class org.tensorflow.op.core.RequantizationRange

The computed min output.

outputMin() - Method in class org.tensorflow.op.core.Requantize

The requested_output_min value is copied into this output.

outputRangeGiven(Boolean) - Method in class org.tensorflow.op.core.QuantizedInstanceNorm.Options

outputRangeGiven(Boolean) - Static method in class org.tensorflow.op.core.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.FakeQuantWithMinMaxArgs

outputs() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVars

outputs() - Method in class org.tensorflow.op.core.FakeQuantWithMinMaxVarsPerChannel

outputs() - Method in class org.tensorflow.op.core.RemoteFusedGraphExecute

Arbitrary number of tensors with arbitrary data types

outputs - Variable in class org.tensorflow.Session.Run

Tensors from requested fetches.

outputShape() - Method in class org.tensorflow.op.core.SparseConcat

1-D.

outputShape() - Method in class org.tensorflow.op.core.SparseCross

1-D.

outputShape() - Method in class org.tensorflow.op.core.SparseReduceMaxSparse

outputShape() - Method in class org.tensorflow.op.core.SparseReduceSumSparse

outputShape() - Method in class org.tensorflow.op.core.SparseReshape

1-D.

outputShape() - Method in class org.tensorflow.op.core.SparseSlice

A list of 1-D tensors represents the shape of the output sparse tensors.

outputShape() - Method in class org.tensorflow.op.core.SparseSplit

A list of 1-D tensors represents the shape of the output sparse tensors.

outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.IteratorFromStringHandle.Options

outputShapes(List<Shape>) - Static method in class org.tensorflow.op.core.IteratorFromStringHandle

outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.IteratorFromStringHandleV2.Options

outputShapes(List<Shape>) - Static method in class org.tensorflow.op.core.IteratorFromStringHandleV2

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.Switch

If `pred` is true, data will be forwarded to this output.

outputValues() - Method in class org.tensorflow.op.core.SparseConcat

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseCross

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseFillEmptyRows

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseReduceMaxSparse

outputValues() - Method in class org.tensorflow.op.core.SparseReduceSumSparse

outputValues() - Method in class org.tensorflow.op.core.SparseReorder

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseSlice

A list of 1-D tensors represents the values of the output sparse tensors.

outputValues() - Method in class org.tensorflow.op.core.SparseSparseMaximum

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseSparseMinimum

1-D.

outputValues() - Method in class org.tensorflow.op.core.SparseSplit

A list of 1-D tensors represents the values of the output sparse tensors.

overlapping(Boolean) - Method in class org.tensorflow.op.core.FractionalAvgPool.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.core.FractionalAvgPool

overlapping(Boolean) - Method in class org.tensorflow.op.core.FractionalAvgPoolGrad.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.core.FractionalAvgPoolGrad

overlapping(Boolean) - Method in class org.tensorflow.op.core.FractionalMaxPool.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.core.FractionalMaxPool

overlapping(Boolean) - Method in class org.tensorflow.op.core.FractionalMaxPoolGrad.Options

overlapping(Boolean) - Static method in class org.tensorflow.op.core.FractionalMaxPoolGrad

P

pad(Boolean) - Method in class org.tensorflow.op.core.EncodeBase64.Options

pad(Boolean) - Static method in class org.tensorflow.op.core.EncodeBase64

Pad<T> - Class in org.tensorflow.op.core

Pads a tensor with zeros.

pad(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Pad operation to the graph

PaddedBatchDataset - Class in org.tensorflow.op.core

Creates a dataset that batches and pads `batch_size` elements from the input.

paddedBatchDataset(Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an PaddedBatchDataset operation to the graph

PaddedBatchDatasetV2 - Class in org.tensorflow.op.core

Creates a dataset that batches and pads `batch_size` elements from the input.

PaddingFIFOQueue - Class in org.tensorflow.op.core

A queue that produces elements in first-in first-out order.

paddingFIFOQueue(List<Class<?>>, PaddingFIFOQueue.Options...) - Method in class org.tensorflow.op.Ops

Adds an PaddingFIFOQueue operation to the graph

PaddingFIFOQueue.Options - Class in org.tensorflow.op.core

Optional attributes for PaddingFIFOQueue

PadV2<T> - Class in org.tensorflow.op.core

Pads a tensor.

padV2(Operand<T>, Operand<U>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an PadV2 operation to the graph

ParallelConcat<T> - Class in org.tensorflow.op.core

Concatenates a list of `N` tensors along the first dimension.

parallelConcat(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an ParallelConcat operation to the graph

ParallelDynamicStitch<T> - Class in org.tensorflow.op.core

Interleave the values from the `data` tensors into a single tensor.

parallelDynamicStitch(Iterable<Operand<Integer>>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ParallelDynamicStitch operation to the graph

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.core

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.Ops

Adds an ParameterizedTruncatedNormal operation to the graph

ParameterizedTruncatedNormal.Options - Class in org.tensorflow.op.core

Optional attributes for ParameterizedTruncatedNormal

params() - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

paramsBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackprop

paramsBackprop() - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2

paramsSize() - Method in class org.tensorflow.op.core.CudnnRNNParamsSize

ParseExample - Class in org.tensorflow.op.core

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.Ops

Adds an ParseExample operation to the graph

ParseSingleExample - Class in org.tensorflow.op.core

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.Ops

Adds an ParseSingleExample operation to the graph

ParseSingleSequenceExample - Class in org.tensorflow.op.core

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.Ops

Adds an ParseSingleSequenceExample operation to the graph

ParseSingleSequenceExample.Options - Class in org.tensorflow.op.core

Optional attributes for ParseSingleSequenceExample

ParseTensor<T> - Class in org.tensorflow.op.core

Transforms a serialized tensorflow.TensorProto proto into a Tensor.

parseTensor(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an ParseTensor operation to the graph

partialLogits() - Method in class org.tensorflow.op.core.BoostedTreesTrainingPredict

Rank 2 Tensor containing logits update (with respect to cached values stored) for each example.

partitions() - Method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

Serialized table partitions.

patches() - Method in class org.tensorflow.op.core.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

Adds an Placeholder operation to the graph

Placeholder.Options - Class in org.tensorflow.op.core

Optional attributes for Placeholder

PlaceholderV2<T> - Class in org.tensorflow.op.core

A placeholder op for a value that will be fed into the computation.

placeholderV2(Class<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an PlaceholderV2 operation to the graph

PlaceholderWithDefault<T> - Class in org.tensorflow.op.core

A placeholder op that passes through `input` when its output is not fed.

placeholderWithDefault(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops

Adds an PlaceholderWithDefault operation to the graph

Polygamma<T extends Number> - Class in org.tensorflow.op.core

Compute the polygamma function \\(\psi^{(n)}(x)\\).

polygamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Polygamma operation to the graph

PopulationCount - Class in org.tensorflow.op.core

Computes element-wise population count (a.k.a.

populationCount(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an PopulationCount operation to the graph

Pow<T> - Class in org.tensorflow.op.core

Computes the power of one value to another.

pow(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Pow operation to the graph

precision(Long) - Method in class org.tensorflow.op.core.AsString.Options

precision(Long) - Static method in class org.tensorflow.op.core.AsString

precision() - Method in class org.tensorflow.op.core.InTopK

Computed Precision at `k` as a `bool Tensor`.

precision() - Method in class org.tensorflow.op.core.InTopKV2

Computed precision at `k` as a `bool Tensor`.

preferredShard(Long) - Method in class org.tensorflow.op.core.Restore.Options

preferredShard(Long) - Static method in class org.tensorflow.op.core.Restore

preferredShard(Long) - Method in class org.tensorflow.op.core.RestoreSlice.Options

preferredShard(Long) - Static method in class org.tensorflow.op.core.RestoreSlice

PrefetchDataset - Class in org.tensorflow.op.core

Creates a dataset that asynchronously prefetches elements from `input_dataset`.

prefetchDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an PrefetchDataset operation to the graph

PrependFromQueueAndPaddedBatchDataset - Class in org.tensorflow.op.core

prependFromQueueAndPaddedBatchDataset(Operand<?>, Operand<Long>, Iterable<Operand<Long>>, Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an PrependFromQueueAndPaddedBatchDataset operation to the graph

preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.core.CTCLoss.Options

preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.core.CTCLoss

PreventGradient<T> - Class in org.tensorflow.op.core

An identity op that triggers an error if a gradient is requested.

preventGradient(Operand<T>, PreventGradient.Options...) - Method in class org.tensorflow.op.Ops

Adds an PreventGradient operation to the graph

PreventGradient.Options - Class in org.tensorflow.op.core

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<T> - Class in org.tensorflow.op.core

Prints a list of tensors.

print(Operand<T>, Iterable<Operand<?>>, Print.Options...) - Method in class org.tensorflow.op.Ops

Adds an Print operation to the graph

Print.Options - Class in org.tensorflow.op.core

Optional attributes for Print

PriorityQueue - Class in org.tensorflow.op.core

A queue that produces elements sorted by the first component value.

priorityQueue(List<Class<?>>, List<Shape>, PriorityQueue.Options...) - Method in class org.tensorflow.op.Ops

Adds an PriorityQueue operation to the graph

PriorityQueue.Options - Class in org.tensorflow.op.core

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

Adds an Prod operation to the graph

Prod.Options - Class in org.tensorflow.op.core

Optional attributes for Prod

product() - Method in class org.tensorflow.op.core.Cross

Pairwise cross product of the vectors in `a` and `b`.

product() - Method in class org.tensorflow.op.core.MatMul

product() - Method in class org.tensorflow.op.core.SparseMatMul

product() - Method in class org.tensorflow.op.core.SparseTensorDenseMatMul

progressive(Boolean) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

progressive(Boolean) - Static method in class org.tensorflow.op.core.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.core.FractionalAvgPool.Options

pseudoRandom(Boolean) - Static method in class org.tensorflow.op.core.FractionalAvgPool

pseudoRandom(Boolean) - Method in class org.tensorflow.op.core.FractionalMaxPool.Options

pseudoRandom(Boolean) - Static method in class org.tensorflow.op.core.FractionalMaxPool

Q

q() - Method in class org.tensorflow.op.core.Qr

Orthonormal basis for range of `a`.

Qr<T> - Class in org.tensorflow.op.core

Computes the QR decompositions of one or more matrices.

qr(Operand<T>, Qr.Options...) - Method in class org.tensorflow.op.Ops

Adds an Qr operation to the graph

Qr.Options - Class in org.tensorflow.op.core

Optional attributes for Qr

quality(Long) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

quality(Long) - Static method in class org.tensorflow.op.core.EncodeJpeg

QuantizeAndDequantize<T extends Number> - Class in org.tensorflow.op.core

Use QuantizeAndDequantizeV2 instead.

quantizeAndDequantize(Operand<T>, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.Ops

Adds an QuantizeAndDequantize operation to the graph

QuantizeAndDequantize.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizeAndDequantize

QuantizeAndDequantizeV2<T extends Number> - Class in org.tensorflow.op.core

Quantizes then dequantizes a tensor.

quantizeAndDequantizeV2(Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an QuantizeAndDequantizeV2 operation to the graph

QuantizeAndDequantizeV2.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizeAndDequantizeV2

QuantizeAndDequantizeV3<T extends Number> - Class in org.tensorflow.op.core

Quantizes then dequantizes a tensor.

quantizeAndDequantizeV3(Operand<T>, Operand<T>, Operand<T>, Operand<Integer>, QuantizeAndDequantizeV3.Options...) - Method in class org.tensorflow.op.Ops

Adds an QuantizeAndDequantizeV3 operation to the graph

QuantizeAndDequantizeV3.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizeAndDequantizeV3

QuantizedAdd<V> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedAdd operation to the graph

QuantizedAvgPool<T> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedAvgPool operation to the graph

QuantizedBatchNormWithGlobalNormalization<U> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedBatchNormWithGlobalNormalization operation to the graph

QuantizedBiasAdd<V> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedBiasAdd operation to the graph

QuantizedConcat<T> - Class in org.tensorflow.op.core

Concatenates quantized tensors along one dimension.

quantizedConcat(Operand<Integer>, Operand<T>, Iterable<Operand<Float>>, Iterable<Operand<Float>>) - Method in class org.tensorflow.op.Ops

Adds an QuantizedConcat operation to the graph

QuantizedConv2D<V> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedConv2D operation to the graph

QuantizedConv2D.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedConv2D

QuantizedInstanceNorm<T> - Class in org.tensorflow.op.core

Quantized Instance normalization.

quantizedInstanceNorm(Operand<T>, Operand<Float>, Operand<Float>, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.Ops

Adds an QuantizedInstanceNorm operation to the graph

QuantizedInstanceNorm.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedInstanceNorm

QuantizedMatMul<V> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedMatMul operation to the graph

QuantizedMatMul.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedMatMul

QuantizedMaxPool<T> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedMaxPool operation to the graph

QuantizedMul<V> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedMul operation to the graph

QuantizeDownAndShrinkRange<U> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizeDownAndShrinkRange operation to the graph

QuantizedRelu<U> - Class in org.tensorflow.op.core

Computes Quantized Rectified Linear: `max(features, 0)`

quantizedRelu(Operand<T>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an QuantizedRelu operation to the graph

QuantizedRelu6<U> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedRelu6 operation to the graph

QuantizedReluX<U> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedReluX operation to the graph

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

Adds an QuantizedReshape operation to the graph

QuantizedResizeBilinear<T> - Class in org.tensorflow.op.core

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.Ops

Adds an QuantizedResizeBilinear operation to the graph

QuantizedResizeBilinear.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizedResizeBilinear

QuantizeV2<T> - Class in org.tensorflow.op.core

Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.

quantizeV2(Operand<Float>, Operand<Float>, Operand<Float>, Class<T>, QuantizeV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an QuantizeV2 operation to the graph

QuantizeV2.Options - Class in org.tensorflow.op.core

Optional attributes for QuantizeV2

QueueClose - Class in org.tensorflow.op.core

Closes the given queue.

queueClose(Operand<?>, QueueClose.Options...) - Method in class org.tensorflow.op.Ops

Adds an QueueClose operation to the graph

QueueClose.Options - Class in org.tensorflow.op.core

Optional attributes for QueueClose

QueueDequeue - Class in org.tensorflow.op.core

Dequeues a tuple of one or more tensors from the given queue.

queueDequeue(Operand<?>, List<Class<?>>, QueueDequeue.Options...) - Method in class org.tensorflow.op.Ops

Adds an QueueDequeue operation to the graph

QueueDequeue.Options - Class in org.tensorflow.op.core

Optional attributes for QueueDequeue

QueueDequeueMany - Class in org.tensorflow.op.core

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.Ops

Adds an QueueDequeueMany operation to the graph

QueueDequeueMany.Options - Class in org.tensorflow.op.core

Optional attributes for QueueDequeueMany

QueueDequeueUpTo - Class in org.tensorflow.op.core

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.Ops

Adds an QueueDequeueUpTo operation to the graph

QueueDequeueUpTo.Options - Class in org.tensorflow.op.core

Optional attributes for QueueDequeueUpTo

QueueEnqueue - Class in org.tensorflow.op.core

Enqueues a tuple of one or more tensors in the given queue.

queueEnqueue(Operand<?>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Method in class org.tensorflow.op.Ops

Adds an QueueEnqueue operation to the graph

QueueEnqueue.Options - Class in org.tensorflow.op.core

Optional attributes for QueueEnqueue

QueueEnqueueMany - Class in org.tensorflow.op.core

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.Ops

Adds an QueueEnqueueMany operation to the graph

QueueEnqueueMany.Options - Class in org.tensorflow.op.core

Optional attributes for QueueEnqueueMany

QueueIsClosed - Class in org.tensorflow.op.core

Returns true if queue is closed.

queueIsClosed(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an QueueIsClosed operation to the graph

QueueIsClosedV2 - Class in org.tensorflow.op.core

Returns true if queue is closed.

queueIsClosedV2(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an QueueIsClosedV2 operation to the graph

QueueSize - Class in org.tensorflow.op.core

Computes the number of elements in the given queue.

queueSize(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an QueueSize operation to the graph

R

r() - Method in class org.tensorflow.op.core.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

RandomCrop<T extends Number> - Class in org.tensorflow.op.core

Randomly crop `image`.

randomCrop(Operand<T>, Operand<Long>, RandomCrop.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomCrop operation to the graph

RandomCrop.Options - Class in org.tensorflow.op.core

Optional attributes for RandomCrop

RandomDataset - Class in org.tensorflow.op.core

Creates a Dataset that returns pseudorandom numbers.

randomDataset(Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an RandomDataset operation to the graph

RandomGamma<U extends Number> - Class in org.tensorflow.op.core

Outputs random values from the Gamma distribution(s) described by alpha.

randomGamma(Operand<T>, Operand<U>, RandomGamma.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomGamma operation to the graph

RandomGamma.Options - Class in org.tensorflow.op.core

Optional attributes for RandomGamma

RandomGammaGrad<T extends Number> - Class in org.tensorflow.op.core

Computes the derivative of a Gamma random sample w.r.t.

RandomNormal<U extends Number> - Class in org.tensorflow.op.core

Outputs random values from a normal distribution.

randomNormal(Operand<T>, Class<U>, RandomNormal.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomNormal operation to the graph

RandomNormal.Options - Class in org.tensorflow.op.core

Optional attributes for RandomNormal

RandomPoisson<U extends Number> - Class in org.tensorflow.op.core

Use RandomPoissonV2 instead.

randomPoisson(Operand<T>, Operand<U>, RandomPoisson.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomPoisson operation to the graph

RandomPoisson.Options - Class in org.tensorflow.op.core

Optional attributes for RandomPoisson

RandomPoissonV2<V extends Number> - Class in org.tensorflow.op.core

Outputs random values from the Poisson distribution(s) described by rate.

randomPoissonV2(Operand<T>, Operand<U>, Class<V>, RandomPoissonV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomPoissonV2 operation to the graph

RandomPoissonV2.Options - Class in org.tensorflow.op.core

Optional attributes for RandomPoissonV2

RandomShuffle<T> - Class in org.tensorflow.op.core

Randomly shuffles a tensor along its first dimension.

randomShuffle(Operand<T>, RandomShuffle.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomShuffle operation to the graph

RandomShuffle.Options - Class in org.tensorflow.op.core

Optional attributes for RandomShuffle

RandomShuffleQueue - Class in org.tensorflow.op.core

A queue that randomizes the order of elements.

randomShuffleQueue(List<Class<?>>, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomShuffleQueue operation to the graph

RandomShuffleQueue.Options - Class in org.tensorflow.op.core

Optional attributes for RandomShuffleQueue

RandomUniform<U extends Number> - Class in org.tensorflow.op.core

Outputs random values from a uniform distribution.

randomUniform(Operand<T>, Class<U>, RandomUniform.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomUniform operation to the graph

RandomUniform.Options - Class in org.tensorflow.op.core

Optional attributes for RandomUniform

RandomUniformInt<U extends Number> - Class in org.tensorflow.op.core

Outputs random integers from a uniform distribution.

randomUniformInt(Operand<T>, Operand<U>, Operand<U>, RandomUniformInt.Options...) - Method in class org.tensorflow.op.Ops

Adds an RandomUniformInt operation to the graph

RandomUniformInt.Options - Class in org.tensorflow.op.core

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

Adds an Range operation to the graph

RangeDataset - Class in org.tensorflow.op.core

Creates a dataset with a range of values.

rangeDataset(Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an RangeDataset operation to the graph

rangeGiven(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantize.Options

rangeGiven(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

rangeGiven(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV2.Options

rangeGiven(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

rangeGiven(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV3.Options

rangeGiven(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV3

Rank - Class in org.tensorflow.op.core

Returns the rank of a tensor.

rank(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Rank operation to the graph

ratio(Long) - Method in class org.tensorflow.op.core.DecodeAndCropJpeg.Options

ratio(Long) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

ratio(Long) - Method in class org.tensorflow.op.core.DecodeJpeg.Options

ratio(Long) - Static method in class org.tensorflow.op.core.DecodeJpeg

readerHandle() - Method in class org.tensorflow.op.core.BigQueryReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.FixedLengthRecordReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.IdentityReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.LMDBReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.TextLineReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.TFRecordReader

The handle to reference the Reader.

readerHandle() - Method in class org.tensorflow.op.core.WholeFileReader

The handle to reference the Reader.

ReaderNumRecordsProduced - Class in org.tensorflow.op.core

Returns the number of records this Reader has produced.

readerNumRecordsProduced(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ReaderNumRecordsProduced operation to the graph

ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.core

Returns the number of work units this Reader has finished processing.

readerNumWorkUnitsCompleted(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ReaderNumWorkUnitsCompleted operation to the graph

ReaderRead - Class in org.tensorflow.op.core

Returns the next record (key, value pair) produced by a Reader.

readerRead(Operand<?>, Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ReaderRead operation to the graph

ReaderReadUpTo - Class in org.tensorflow.op.core

Returns up to `num_records` (key, value) pairs produced by a Reader.

readerReadUpTo(Operand<?>, Operand<?>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an ReaderReadUpTo operation to the graph

ReaderReset - Class in org.tensorflow.op.core

Restore a Reader to its initial clean state.

readerReset(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ReaderReset operation to the graph

ReaderRestoreState - Class in org.tensorflow.op.core

Restore a reader to a previously saved state.

readerRestoreState(Operand<?>, Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an ReaderRestoreState operation to the graph

ReaderSerializeState - Class in org.tensorflow.op.core

Produce a string tensor that encodes the state of a Reader.

readerSerializeState(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an ReaderSerializeState operation to the graph

ReadFile - Class in org.tensorflow.op.core

Reads and outputs the entire contents of the input filename.

readFile(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an ReadFile operation to the graph

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

Adds an ReadVariableOp operation to the graph

Real<U extends Number> - Class in org.tensorflow.op.core

Returns the real part of a complex number.

real(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Real operation to the graph

RealDiv<T> - Class in org.tensorflow.op.core

Returns x / y element-wise for real types.

realDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RealDiv operation to the graph

Reciprocal<T> - Class in org.tensorflow.op.core

Computes the reciprocal of x element-wise.

reciprocal(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Reciprocal operation to the graph

ReciprocalGrad<T> - Class in org.tensorflow.op.core

Computes the gradient for the inverse of `x` wrt its input.

RecordInput - Class in org.tensorflow.op.core

Emits randomized records.

recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.Ops

Adds an RecordInput operation to the graph

RecordInput.Options - Class in org.tensorflow.op.core

Optional attributes for RecordInput

records() - Method in class org.tensorflow.op.core.RecordInput

A tensor of shape [batch_size].

recordsProduced() - Method in class org.tensorflow.op.core.ReaderNumRecordsProduced

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

Adds an ReduceAll operation to the graph

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

Adds an ReduceAny operation to the graph

ReduceAny.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceAny

ReduceJoin - Class in org.tensorflow.op.core

Joins a string Tensor across the given dimensions.

reduceJoin(Operand<String>, Operand<Integer>, ReduceJoin.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceJoin operation to the graph

ReduceJoin.Options - Class in org.tensorflow.op.core

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

Adds an ReduceMax operation to the graph

ReduceMax.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceMax

ReduceMean<T> - Class in org.tensorflow.op.core

Computes the mean of elements across dimensions of a tensor.

reduceMean(Operand<T>, Operand<U>, ReduceMean.Options...) - Method in class org.tensorflow.op.Ops

Adds an ReduceMean operation to the graph

ReduceMean.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceMean

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

Adds an ReduceMin operation to the graph

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

Adds an ReduceProd operation to the graph

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

Adds an ReduceSum operation to the graph

ReduceSum.Options - Class in org.tensorflow.op.core

Optional attributes for ReduceSum

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

Adds an RefNextIteration operation to the graph

RefSelect<T> - Class in org.tensorflow.op.core

Forwards the `index`th element of `inputs` to `output`.

refSelect(Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RefSelect operation to the graph

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

Adds an RefSwitch operation to the graph

RegexFullMatch - Class in org.tensorflow.op.core

Check if the input matches the regex pattern.

regexFullMatch(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an RegexFullMatch operation to the graph

RegexReplace - Class in org.tensorflow.op.core

Replaces the match of pattern in input with rewrite.

regexReplace(Operand<String>, Operand<String>, Operand<String>, RegexReplace.Options...) - Method in class org.tensorflow.op.Ops

Adds an RegexReplace operation to the graph

RegexReplace.Options - Class in org.tensorflow.op.core

Optional attributes for RegexReplace

registeredOpList() - Static method in class org.tensorflow.TensorFlow

All the TensorFlow operations available in this address space.

Relu<T extends Number> - Class in org.tensorflow.op.core

Computes rectified linear: `max(features, 0)`.

relu(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Relu operation to the graph

Relu6<T extends Number> - Class in org.tensorflow.op.core

Computes rectified linear 6: `min(max(features, 0), 6)`.

relu6(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Relu6 operation to the graph

Relu6Grad<T extends Number> - Class in org.tensorflow.op.core

Computes rectified linear 6 gradients for a Relu6 operation.

ReluGrad<T extends Number> - Class in org.tensorflow.op.core

Computes rectified linear gradients for a Relu operation.

remapping() - Method in class org.tensorflow.op.core.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

Adds an RemoteFusedGraphExecute operation to the graph

RepeatDataset - Class in org.tensorflow.op.core

Creates a dataset that emits the outputs of `input_dataset` `count` times.

repeatDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an RepeatDataset operation to the graph

replaceGlobal(Boolean) - Method in class org.tensorflow.op.core.RegexReplace.Options

replaceGlobal(Boolean) - Static method in class org.tensorflow.op.core.RegexReplace

RequantizationRange - Class in org.tensorflow.op.core

Given a quantized tensor described by (input, input_min, input_max), outputs a

requantizationRange(Operand<T>, Operand<Float>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an RequantizationRange operation to the graph

Requantize<U> - Class in org.tensorflow.op.core

Convert the quantized 'input' tensor into a lower-precision 'output', using the

requantize(Operand<T>, Operand<Float>, Operand<Float>, Operand<Float>, Operand<Float>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Requantize operation to the graph

reserveSpace() - Method in class org.tensorflow.op.core.CudnnRNN

reserveSpace() - Method in class org.tensorflow.op.core.CudnnRNNV2

reserveSpace1() - Method in class org.tensorflow.op.core.FusedBatchNorm

A 1D Tensor for the computed batch mean, to be reused in the gradient computation.

reserveSpace1() - Method in class org.tensorflow.op.core.FusedBatchNormV2

A 1D Tensor for the computed batch mean, to be reused in the gradient computation.

reserveSpace2() - Method in class org.tensorflow.op.core.FusedBatchNorm

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.core.FusedBatchNormV2

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.FusedBatchNormGrad

Unused placeholder to match the mean input in FusedBatchNorm.

reserveSpace3() - Method in class org.tensorflow.op.core.FusedBatchNormGradV2

Unused placeholder to match the mean input in FusedBatchNorm.

reserveSpace4() - Method in class org.tensorflow.op.core.FusedBatchNormGrad

Unused placeholder to match the variance input in FusedBatchNorm.

reserveSpace4() - Method in class org.tensorflow.op.core.FusedBatchNormGradV2

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

Adds an Reshape operation to the graph

reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.core.ShuffleDataset.Options

reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.core.ShuffleDataset

resizeAlignCorners(Boolean) - Method in class org.tensorflow.op.core.FusedResizeAndPadConv2D.Options

resizeAlignCorners(Boolean) - Static method in class org.tensorflow.op.core.FusedResizeAndPadConv2D

ResizeArea - Class in org.tensorflow.op.core

Resize `images` to `size` using area interpolation.

resizeArea(Operand<T>, Operand<Integer>, ResizeArea.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResizeArea operation to the graph

ResizeArea.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeArea

ResizeBicubic - Class in org.tensorflow.op.core

Resize `images` to `size` using bicubic interpolation.

resizeBicubic(Operand<T>, Operand<Integer>, ResizeBicubic.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResizeBicubic operation to the graph

ResizeBicubic.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeBicubic

ResizeBicubicGrad<T extends Number> - Class in org.tensorflow.op.core

Computes the gradient of bicubic interpolation.

ResizeBicubicGrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeBicubicGrad

ResizeBilinear - Class in org.tensorflow.op.core

Resize `images` to `size` using bilinear interpolation.

resizeBilinear(Operand<T>, Operand<Integer>, ResizeBilinear.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResizeBilinear operation to the graph

ResizeBilinear.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeBilinear

ResizeBilinearGrad<T extends Number> - Class in org.tensorflow.op.core

Computes the gradient of bilinear interpolation.

ResizeBilinearGrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeBilinearGrad

resizedImages() - Method in class org.tensorflow.op.core.QuantizedResizeBilinear

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.core.ResizeArea

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.core.ResizeBicubic

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.core.ResizeBilinear

4-D with shape `[batch, new_height, new_width, channels]`.

resizedImages() - Method in class org.tensorflow.op.core.ResizeNearestNeighbor

4-D with shape `[batch, new_height, new_width, channels]`.

ResizeNearestNeighbor<T extends Number> - Class in org.tensorflow.op.core

Resize `images` to `size` using nearest neighbor interpolation.

resizeNearestNeighbor(Operand<T>, Operand<Integer>, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResizeNearestNeighbor operation to the graph

ResizeNearestNeighbor.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeNearestNeighbor

ResizeNearestNeighborGrad<T extends Number> - Class in org.tensorflow.op.core

Computes the gradient of nearest neighbor interpolation.

ResizeNearestNeighborGrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResizeNearestNeighborGrad

resource() - Method in class org.tensorflow.op.core.BoostedTreesEnsembleResourceHandleOp

resource() - Method in class org.tensorflow.op.core.MutexV2

The mutex resource.

resource() - Method in class org.tensorflow.op.core.VarHandleOp

ResourceApplyAdadelta - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyAdadelta operation to the graph

ResourceApplyAdadelta.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAdadelta

ResourceApplyAdagrad - Class in org.tensorflow.op.core

Update '*var' according to the adagrad scheme.

resourceApplyAdagrad(Operand<?>, Operand<?>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceApplyAdagrad operation to the graph

ResourceApplyAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAdagrad

ResourceApplyAdagradDA - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyAdagradDA operation to the graph

ResourceApplyAdagradDA.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAdagradDA

ResourceApplyAdam - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyAdam operation to the graph

ResourceApplyAdam.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAdam

ResourceApplyAdaMax - Class in org.tensorflow.op.core

Update '*var' according to the AdaMax algorithm.

ResourceApplyAdaMax.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAdaMax

ResourceApplyAddSign - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyAddSign operation to the graph

ResourceApplyAddSign.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyAddSign

ResourceApplyCenteredRMSProp - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyCenteredRMSProp operation to the graph

ResourceApplyCenteredRMSProp.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyCenteredRMSProp

ResourceApplyFtrl - Class in org.tensorflow.op.core

Update '*var' according to the Ftrl-proximal scheme.

resourceApplyFtrl(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceApplyFtrl operation to the graph

ResourceApplyFtrl.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyFtrl

ResourceApplyFtrlV2 - Class in org.tensorflow.op.core

Update '*var' according to the Ftrl-proximal scheme.

resourceApplyFtrlV2(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrlV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceApplyFtrlV2 operation to the graph

ResourceApplyFtrlV2.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyFtrlV2

ResourceApplyGradientDescent - Class in org.tensorflow.op.core

Update '*var' by subtracting 'alpha' * 'delta' from it.

resourceApplyGradientDescent(Operand<?>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceApplyGradientDescent operation to the graph

ResourceApplyGradientDescent.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyGradientDescent

ResourceApplyMomentum - Class in org.tensorflow.op.core

Update '*var' according to the momentum scheme.

resourceApplyMomentum(Operand<?>, Operand<?>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceApplyMomentum operation to the graph

ResourceApplyMomentum.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyMomentum

ResourceApplyPowerSign - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyPowerSign operation to the graph

ResourceApplyPowerSign.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyPowerSign

ResourceApplyProximalAdagrad - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyProximalAdagrad operation to the graph

ResourceApplyProximalAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyProximalAdagrad

ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyProximalGradientDescent operation to the graph

ResourceApplyProximalGradientDescent.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyProximalGradientDescent

ResourceApplyRMSProp - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceApplyRMSProp operation to the graph

ResourceApplyRMSProp.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceApplyRMSProp

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

Adds an ResourceCountUpTo operation to the graph

ResourceGather<U> - Class in org.tensorflow.op.core

Gather slices from the variable pointed to by `resource` according to `indices`.

resourceGather(Operand<?>, Operand<T>, Class<U>, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceGather operation to the graph

ResourceGather.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceGather

resourceHandle() - Method in class org.tensorflow.op.core.IteratorFromStringHandle

A handle to an iterator resource.

resourceHandle() - Method in class org.tensorflow.op.core.IteratorFromStringHandleV2

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

Adds an ResourceScatterAdd operation to the graph

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

Adds an ResourceScatterDiv operation to the graph

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

Adds an ResourceScatterMax operation to the graph

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

Adds an ResourceScatterMin operation to the graph

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

Adds an ResourceScatterMul operation to the graph

ResourceScatterNdAdd - Class in org.tensorflow.op.core

Adds sparse `updates` to individual values or slices within a given

resourceScatterNdAdd(Operand<?>, Operand<T>, Operand<U>, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceScatterNdAdd operation to the graph

ResourceScatterNdAdd.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceScatterNdAdd

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

Adds an ResourceScatterNdUpdate operation to the graph

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

Adds an ResourceScatterSub operation to the graph

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

Adds an ResourceScatterUpdate operation to the graph

ResourceSparseApplyAdadelta - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyAdadelta operation to the graph

ResourceSparseApplyAdadelta.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyAdadelta

ResourceSparseApplyAdagrad - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyAdagrad operation to the graph

ResourceSparseApplyAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyAdagrad

ResourceSparseApplyAdagradDA - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyAdagradDA operation to the graph

ResourceSparseApplyAdagradDA.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyAdagradDA

ResourceSparseApplyCenteredRMSProp - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyCenteredRMSProp operation to the graph

ResourceSparseApplyCenteredRMSProp.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyCenteredRMSProp

ResourceSparseApplyFtrl - Class in org.tensorflow.op.core

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>, ResourceSparseApplyFtrl.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceSparseApplyFtrl operation to the graph

ResourceSparseApplyFtrl.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyFtrl

ResourceSparseApplyFtrlV2 - Class in org.tensorflow.op.core

Update relevant entries in '*var' according to the Ftrl-proximal scheme.

resourceSparseApplyFtrlV2(Operand<?>, Operand<?>, Operand<?>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrlV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an ResourceSparseApplyFtrlV2 operation to the graph

ResourceSparseApplyFtrlV2.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyFtrlV2

ResourceSparseApplyMomentum - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyMomentum operation to the graph

ResourceSparseApplyMomentum.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyMomentum

ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyProximalAdagrad operation to the graph

ResourceSparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyProximalAdagrad

ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyProximalGradientDescent operation to the graph

ResourceSparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceSparseApplyProximalGradientDescent

ResourceSparseApplyRMSProp - Class in org.tensorflow.op.core

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.Ops

Adds an ResourceSparseApplyRMSProp operation to the graph

ResourceSparseApplyRMSProp.Options - Class in org.tensorflow.op.core

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

Adds an ResourceStridedSliceAssign operation to the graph

ResourceStridedSliceAssign.Options - Class in org.tensorflow.op.core

Optional attributes for ResourceStridedSliceAssign

response() - Method in class org.tensorflow.op.core.Rpc

Same shape as `request`.

response() - Method in class org.tensorflow.op.core.TryRpc

Same shape as `request`.

Restore<T> - Class in org.tensorflow.op.core

Restores a tensor from checkpoint files.

restore(Operand<String>, Operand<String>, Class<T>, Restore.Options...) - Method in class org.tensorflow.op.Ops

Adds an Restore operation to the graph

Restore.Options - Class in org.tensorflow.op.core

Optional attributes for Restore

RestoreSlice<T> - Class in org.tensorflow.op.core

Restores a tensor from checkpoint files.

restoreSlice(Operand<String>, Operand<String>, Operand<String>, Class<T>, RestoreSlice.Options...) - Method in class org.tensorflow.op.Ops

Adds an RestoreSlice operation to the graph

RestoreSlice.Options - Class in org.tensorflow.op.core

Optional attributes for RestoreSlice

RestoreV2 - Class in org.tensorflow.op.core

Restores tensors from a V2 checkpoint.

restoreV2(Operand<String>, Operand<String>, Operand<String>, List<Class<?>>) - Method in class org.tensorflow.op.Ops

Adds an RestoreV2 operation to the graph

result() - Method in class org.tensorflow.op.core.BatchNormWithGlobalNormalization

result() - Method in class org.tensorflow.op.core.QuantizedBatchNormWithGlobalNormalization

resultIndices() - Method in class org.tensorflow.op.core.DenseToDenseSetOperation

2D indices of a `SparseTensor`.

resultIndices() - Method in class org.tensorflow.op.core.DenseToSparseSetOperation

2D indices of a `SparseTensor`.

resultIndices() - Method in class org.tensorflow.op.core.SparseToSparseSetOperation

2D indices of a `SparseTensor`.

resultMax() - Method in class org.tensorflow.op.core.QuantizedBatchNormWithGlobalNormalization

resultMin() - Method in class org.tensorflow.op.core.QuantizedBatchNormWithGlobalNormalization

resultShape() - Method in class org.tensorflow.op.core.DenseToDenseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultShape() - Method in class org.tensorflow.op.core.DenseToSparseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultShape() - Method in class org.tensorflow.op.core.SparseToSparseSetOperation

1D `Tensor` shape of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.core.DenseToDenseSetOperation

1D values of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.core.DenseToSparseSetOperation

1D values of a `SparseTensor`.

resultValues() - Method in class org.tensorflow.op.core.SparseToSparseSetOperation

1D values of a `SparseTensor`.

reverse(Boolean) - Method in class org.tensorflow.op.core.Cumprod.Options

reverse(Boolean) - Static method in class org.tensorflow.op.core.Cumprod

reverse(Boolean) - Method in class org.tensorflow.op.core.Cumsum.Options

reverse(Boolean) - Static method in class org.tensorflow.op.core.Cumsum

reverse(Boolean) - Method in class org.tensorflow.op.core.NthElement.Options

reverse(Boolean) - Static method in class org.tensorflow.op.core.NthElement

Reverse<T> - Class in org.tensorflow.op.core

Reverses specific dimensions of a tensor.

reverse(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Reverse operation to the graph

reverseIndexMap() - Method in class org.tensorflow.op.core.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

Adds an ReverseSequence operation to the graph

ReverseSequence.Options - Class in org.tensorflow.op.core

Optional attributes for ReverseSequence

RFFT - Class in org.tensorflow.op.core

Real-valued fast Fourier transform.

rFFT(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an RFFT operation to the graph

RFFT2D - Class in org.tensorflow.op.core

2D real-valued fast Fourier transform.

rFFT2D(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an RFFT2D operation to the graph

RFFT3D - Class in org.tensorflow.op.core

3D real-valued fast Fourier transform.

rFFT3D(Operand<Float>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an RFFT3D operation to the graph

RGBToHSV<T extends Number> - Class in org.tensorflow.op.core

Converts one or more images from RGB to HSV.

rGBToHSV(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RGBToHSV operation to the graph

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.core

Elementwise computes the bitwise right-shift of `x` and `y`.

rightShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an RightShift operation to the graph

Rint<T extends Number> - Class in org.tensorflow.op.core

Returns element-wise integer closest to x.

rint(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Rint operation to the graph

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNN.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNN

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

rnnMode(String) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

rnnMode(String) - Static method in class org.tensorflow.op.core.CudnnRNNV2

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

Adds an Roll operation to the graph

Round<T> - Class in org.tensorflow.op.core

Rounds the values of a tensor to the nearest integer, element-wise.

round(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Round operation to the graph

roundMode(String) - Method in class org.tensorflow.op.core.QuantizeV2.Options

roundMode(String) - Static method in class org.tensorflow.op.core.QuantizeV2

rowPoolingSequence() - Method in class org.tensorflow.op.core.FractionalAvgPool

row pooling sequence, needed to calculate gradient.

rowPoolingSequence() - Method in class org.tensorflow.op.core.FractionalMaxPool

row pooling sequence, needed to calculate gradient.

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

Adds an Rpc operation to the graph

Rpc.Options - Class in org.tensorflow.op.core

Optional attributes for Rpc

Rsqrt<T> - Class in org.tensorflow.op.core

Computes reciprocal of square root of x element-wise.

rsqrt(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Rsqrt operation to the graph

RsqrtGrad<T> - Class in org.tensorflow.op.core

Computes the gradient for the rsqrt of `x` wrt its input.

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.core.BatchSvd

s() - Method in class org.tensorflow.op.core.Svd

Singular values.

sampledCandidates() - Method in class org.tensorflow.op.core.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.core.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.core.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.core.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.core.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.core.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.core.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.core.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.core.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.core.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.core

Generate a single randomly distorted bounding box for an image.

sampleDistortedBoundingBox(Operand<T>, Operand<Float>, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.Ops

Adds an SampleDistortedBoundingBox operation to the graph

SampleDistortedBoundingBox.Options - Class in org.tensorflow.op.core

Optional attributes for SampleDistortedBoundingBox

SampleDistortedBoundingBoxV2<T extends Number> - Class in org.tensorflow.op.core

Generate a single randomly distorted bounding box for an image.

sampleDistortedBoundingBoxV2(Operand<T>, Operand<Float>, Operand<Float>, SampleDistortedBoundingBoxV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an SampleDistortedBoundingBoxV2 operation to the graph

SampleDistortedBoundingBoxV2.Options - Class in org.tensorflow.op.core

Optional attributes for SampleDistortedBoundingBoxV2

sampleRate() - Method in class org.tensorflow.op.core.DecodeWav

Scalar holding the sample rate found in the WAV header.

sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProtoV2.Options

sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProtoV2

Save - Class in org.tensorflow.op.core

Saves the input tensors to disk.

save(Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an Save operation to the graph

SavedModelBundle - Class in org.tensorflow

SavedModelBundle represents a model loaded from storage.

SaveSlices - Class in org.tensorflow.op.core

Saves input tensors slices to disk.

saveSlices(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an SaveSlices operation to the graph

SaveV2 - Class in org.tensorflow.op.core

Saves tensors in V2 checkpoint format.

saveV2(Operand<String>, Operand<String>, Operand<String>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops

Adds an SaveV2 operation to the graph

scalar() - Static method in class org.tensorflow.Shape

Create a Shape representing a scalar value.

ScalarSummary - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with scalar values.

scalarSummary(Operand<String>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an ScalarSummary operation to the graph

scaleBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGrad

A 1D Tensor for the gradient with respect to scale.

scaleBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGradV2

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

Adds an ScatterAdd operation to the graph

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

Adds an ScatterDiv operation to the graph

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

Adds an ScatterMax operation to the graph

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

Adds an ScatterMin operation to the graph

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

Adds an ScatterMul operation to the graph

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

Adds an ScatterNd operation to the graph

ScatterNdAdd<T> - Class in org.tensorflow.op.core

Applies sparse addition between `updates` and individual values or slices

scatterNdAdd(Operand<T>, Operand<U>, Operand<T>, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdAdd operation to the graph

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

Adds an ScatterNdNonAliasingAdd operation to the graph

ScatterNdSub<T> - Class in org.tensorflow.op.core

Applies sparse subtraction between `updates` and individual values or slices

scatterNdSub(Operand<T>, Operand<U>, Operand<T>, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops

Adds an ScatterNdSub operation to the graph

ScatterNdSub.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

Adds an ScatterNdUpdate operation to the graph

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

Adds an ScatterSub operation to the graph

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

Adds an ScatterUpdate operation to the graph

ScatterUpdate.Options - Class in org.tensorflow.op.core

Optional attributes for ScatterUpdate

scientific(Boolean) - Method in class org.tensorflow.op.core.AsString.Options

scientific(Boolean) - Static method in class org.tensorflow.op.core.AsString

scope() - Method in class org.tensorflow.op.Ops

Returns the current scope of this API

Scope - Class in org.tensorflow.op

Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.

Scope(Graph) - Constructor for class org.tensorflow.op.Scope

Create a new top-level scope.

SdcaFprint - Class in org.tensorflow.op.core

Computes fingerprints of the input strings.

sdcaFprint(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an SdcaFprint operation to the graph

SdcaOptimizer - Class in org.tensorflow.op.core

Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for

sdcaOptimizer(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...) - Method in class org.tensorflow.op.Ops

Adds an SdcaOptimizer operation to the graph

SdcaOptimizer.Options - Class in org.tensorflow.op.core

Optional attributes for SdcaOptimizer

SdcaShrinkL1 - Class in org.tensorflow.op.core

Applies L1 regularization shrink step on the parameters.

sdcaShrinkL1(Iterable<Operand<Float>>, Float, Float) - Method in class org.tensorflow.op.Ops

Adds an SdcaShrinkL1 operation to the graph

seed(Long) - Method in class org.tensorflow.op.core.AllCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.core.AllCandidateSampler

seed(Long) - Method in class org.tensorflow.op.core.ComputeAccidentalHits.Options

seed(Long) - Static method in class org.tensorflow.op.core.ComputeAccidentalHits

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNN.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNN

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

seed(Long) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

seed(Long) - Static method in class org.tensorflow.op.core.CudnnRNNV2

seed(Long) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

seed(Long) - Method in class org.tensorflow.op.core.FractionalAvgPool.Options

seed(Long) - Static method in class org.tensorflow.op.core.FractionalAvgPool

seed(Long) - Method in class org.tensorflow.op.core.FractionalMaxPool.Options

seed(Long) - Static method in class org.tensorflow.op.core.FractionalMaxPool

seed(Long) - Method in class org.tensorflow.op.core.LearnedUnigramCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.core.LearnedUnigramCandidateSampler

seed(Long) - Method in class org.tensorflow.op.core.LogUniformCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.core.LogUniformCandidateSampler

seed(Long) - Method in class org.tensorflow.op.core.Multinomial.Options

seed(Long) - Static method in class org.tensorflow.op.core.Multinomial

seed(Long) - Method in class org.tensorflow.op.core.ParameterizedTruncatedNormal.Options

seed(Long) - Static method in class org.tensorflow.op.core.ParameterizedTruncatedNormal

seed(Long) - Method in class org.tensorflow.op.core.RandomCrop.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomCrop

seed(Long) - Method in class org.tensorflow.op.core.RandomGamma.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomGamma

seed(Long) - Method in class org.tensorflow.op.core.RandomNormal.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomNormal

seed(Long) - Method in class org.tensorflow.op.core.RandomPoisson.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomPoisson

seed(Long) - Method in class org.tensorflow.op.core.RandomPoissonV2.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomPoissonV2

seed(Long) - Method in class org.tensorflow.op.core.RandomShuffle.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomShuffle

seed(Long) - Method in class org.tensorflow.op.core.RandomShuffleQueue.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

seed(Long) - Method in class org.tensorflow.op.core.RandomUniform.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomUniform

seed(Long) - Method in class org.tensorflow.op.core.RandomUniformInt.Options

seed(Long) - Static method in class org.tensorflow.op.core.RandomUniformInt

seed(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox.Options

seed(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

seed(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.Options

seed(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

seed(Long) - Method in class org.tensorflow.op.core.TruncatedNormal.Options

seed(Long) - Static method in class org.tensorflow.op.core.TruncatedNormal

seed(Long) - Method in class org.tensorflow.op.core.UniformCandidateSampler.Options

seed(Long) - Static method in class org.tensorflow.op.core.UniformCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.core.AllCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.core.AllCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.core.ComputeAccidentalHits.Options

seed2(Long) - Static method in class org.tensorflow.op.core.ComputeAccidentalHits

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNN.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNN

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNBackprop.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackprop

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNBackpropV2.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNBackpropV2

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNCanonicalToParams

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNParamsSize.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNParamsSize

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNParamsToCanonical

seed2(Long) - Method in class org.tensorflow.op.core.CudnnRNNV2.Options

seed2(Long) - Static method in class org.tensorflow.op.core.CudnnRNNV2

seed2(Long) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.core.FractionalAvgPool.Options

seed2(Long) - Static method in class org.tensorflow.op.core.FractionalAvgPool

seed2(Long) - Method in class org.tensorflow.op.core.FractionalMaxPool.Options

seed2(Long) - Static method in class org.tensorflow.op.core.FractionalMaxPool

seed2(Long) - Method in class org.tensorflow.op.core.LearnedUnigramCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.core.LearnedUnigramCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.core.LogUniformCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.core.LogUniformCandidateSampler

seed2(Long) - Method in class org.tensorflow.op.core.Multinomial.Options

seed2(Long) - Static method in class org.tensorflow.op.core.Multinomial

seed2(Long) - Method in class org.tensorflow.op.core.ParameterizedTruncatedNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.core.ParameterizedTruncatedNormal

seed2(Long) - Method in class org.tensorflow.op.core.RandomCrop.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomCrop

seed2(Long) - Method in class org.tensorflow.op.core.RandomGamma.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomGamma

seed2(Long) - Method in class org.tensorflow.op.core.RandomNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomNormal

seed2(Long) - Method in class org.tensorflow.op.core.RandomPoisson.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomPoisson

seed2(Long) - Method in class org.tensorflow.op.core.RandomPoissonV2.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomPoissonV2

seed2(Long) - Method in class org.tensorflow.op.core.RandomShuffle.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomShuffle

seed2(Long) - Method in class org.tensorflow.op.core.RandomShuffleQueue.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

seed2(Long) - Method in class org.tensorflow.op.core.RandomUniform.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomUniform

seed2(Long) - Method in class org.tensorflow.op.core.RandomUniformInt.Options

seed2(Long) - Static method in class org.tensorflow.op.core.RandomUniformInt

seed2(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox.Options

seed2(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

seed2(Long) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.Options

seed2(Long) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

seed2(Long) - Method in class org.tensorflow.op.core.TruncatedNormal.Options

seed2(Long) - Static method in class org.tensorflow.op.core.TruncatedNormal

seed2(Long) - Method in class org.tensorflow.op.core.UniformCandidateSampler.Options

seed2(Long) - Static method in class org.tensorflow.op.core.UniformCandidateSampler

SegmentMax<T extends Number> - Class in org.tensorflow.op.core

Computes the maximum along segments of a tensor.

segmentMax(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SegmentMax operation to the graph

SegmentMean<T> - Class in org.tensorflow.op.core

Computes the mean along segments of a tensor.

segmentMean(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SegmentMean operation to the graph

SegmentMin<T extends Number> - Class in org.tensorflow.op.core

Computes the minimum along segments of a tensor.

segmentMin(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SegmentMin operation to the graph

SegmentProd<T> - Class in org.tensorflow.op.core

Computes the product along segments of a tensor.

segmentProd(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SegmentProd operation to the graph

SegmentSum<T> - Class in org.tensorflow.op.core

Computes the sum along segments of a tensor.

segmentSum(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SegmentSum operation to the graph

selectCols(List<Long>) - Method in class org.tensorflow.op.core.DecodeCSV.Options

selectCols(List<Long>) - Static method in class org.tensorflow.op.core.DecodeCSV

selectedIndices() - Method in class org.tensorflow.op.core.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.core.NonMaxSuppressionV2

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.core.NonMaxSuppressionV3

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.core.NonMaxSuppressionWithOverlaps

A 1-D integer tensor of shape `[M]` representing the selected indices from the boxes tensor, where `M <= max_output_size`.

SelfAdjointEig<T> - Class in org.tensorflow.op.core

Computes the eigen decomposition of one or more square self-adjoint matrices.

selfAdjointEig(Operand<T>, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.Ops

Adds an SelfAdjointEig operation to the graph

SelfAdjointEig.Options - Class in org.tensorflow.op.core

Optional attributes for SelfAdjointEig

Selu<T extends Number> - Class in org.tensorflow.op.core

Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)`

selu(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Selu operation to the graph

SeluGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients for the scaled exponential linear (Selu) operation.

separator(String) - Method in class org.tensorflow.op.core.ReduceJoin.Options

separator(String) - Static method in class org.tensorflow.op.core.ReduceJoin

separator(String) - Method in class org.tensorflow.op.core.StringJoin.Options

separator(String) - Static method in class org.tensorflow.op.core.StringJoin

serialized() - Method in class org.tensorflow.op.core.SerializeIterator

A variant tensor storing the state of the iterator contained in the resource.

serialized() - Method in class org.tensorflow.op.core.SerializeTensor

A serialized TensorProto proto of the input tensor.

serializedSparse() - Method in class org.tensorflow.op.core.SerializeManySparse

serializedSparse() - Method in class org.tensorflow.op.core.SerializeSparse

SerializeIterator - Class in org.tensorflow.op.core

Converts the given `resource_handle` representing an iterator to a variant tensor.

serializeIterator(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an SerializeIterator operation to the graph

SerializeManySparse<U> - Class in org.tensorflow.op.core

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.Ops

Adds an SerializeManySparse operation to the graph

SerializeSparse<U> - Class in org.tensorflow.op.core

Serialize a `SparseTensor` into a `[3]` `Tensor` object.

serializeSparse(Operand<Long>, Operand<T>, Operand<Long>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an SerializeSparse operation to the graph

SerializeTensor - Class in org.tensorflow.op.core

Transforms a Tensor into a serialized TensorProto proto.

serializeTensor(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SerializeTensor operation to the graph

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.OperationBuilder

setAttr(String, byte[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long) - Method in class org.tensorflow.OperationBuilder

setAttr(String, long[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float) - Method in class org.tensorflow.OperationBuilder

setAttr(String, float[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, boolean) - Method in class org.tensorflow.OperationBuilder

setAttr(String, boolean[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType) - Method in class org.tensorflow.OperationBuilder

setAttr(String, DataType[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Tensor<?>[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Shape) - Method in class org.tensorflow.OperationBuilder

setAttr(String, Shape[]) - Method in class org.tensorflow.OperationBuilder

setAttr(String, String[]) - Method in class org.tensorflow.OperationBuilder

setDevice(String) - Method in class org.tensorflow.OperationBuilder

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

Adds an SetDiff1D operation to the graph

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

Adds an SetSize operation to the graph

SetSize.Options - Class in org.tensorflow.op.core

Optional attributes for SetSize

SetStatsAggregatorDataset - Class in org.tensorflow.op.core

setStatsAggregatorDataset(Operand<?>, Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an SetStatsAggregatorDataset operation to the graph

shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options

shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder

Shape<U extends Number> - Class in org.tensorflow.op.core

Returns the shape of a tensor.

shape() - Method in class org.tensorflow.op.core.SparseAccumulatorTakeGradient

Shape of the average of the accumulated sparse gradients.

shape() - Method in class org.tensorflow.op.core.StringSplit

a length-2 vector of int64 representing the shape of the sparse tensor, where the first value is N and the second value is the maximum number of tokens in a single input entry.

shape() - Method in class org.tensorflow.op.core.StringSplitV2

shape(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Shape operation to the graph

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(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an ShapeN operation to the graph

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.core.FIFOQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.core.FIFOQueue

shapes(List<Shape>) - Method in class org.tensorflow.op.core.PaddingFIFOQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.core.PaddingFIFOQueue

shapes(List<Shape>) - Method in class org.tensorflow.op.core.RandomShuffleQueue.Options

shapes(List<Shape>) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

shard(Long) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

shard(Long) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

ShardedFilename - Class in org.tensorflow.op.core

Generate a sharded filename.

shardedFilename(Operand<String>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an ShardedFilename operation to the graph

ShardedFilespec - Class in org.tensorflow.op.core

Generate a glob pattern matching all sharded file names.

shardedFilespec(Operand<String>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an ShardedFilespec operation to the graph

sharedName(String) - Method in class org.tensorflow.op.core.AddManySparseToTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.core.AddManySparseToTensorsMap

sharedName(String) - Method in class org.tensorflow.op.core.AddSparseToTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.core.AddSparseToTensorsMap

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.BigQueryReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.BigQueryReader

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.ConditionalAccumulator.Options

sharedName(String) - Static method in class org.tensorflow.op.core.ConditionalAccumulator

sharedName(String) - Method in class org.tensorflow.op.core.FIFOQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.core.FIFOQueue

sharedName(String) - Method in class org.tensorflow.op.core.FixedLengthRecordReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.FixedLengthRecordReader

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.IdentityReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.IdentityReader

sharedName(String) - Method in class org.tensorflow.op.core.LMDBReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.LMDBReader

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.MutexV2.Options

sharedName(String) - Static method in class org.tensorflow.op.core.MutexV2

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.PaddingFIFOQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.core.PaddingFIFOQueue

sharedName(String) - Method in class org.tensorflow.op.core.PriorityQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.core.PriorityQueue

sharedName(String) - Method in class org.tensorflow.op.core.RandomShuffleQueue.Options

sharedName(String) - Static method in class org.tensorflow.op.core.RandomShuffleQueue

sharedName(String) - Method in class org.tensorflow.op.core.SparseConditionalAccumulator.Options

sharedName(String) - Static method in class org.tensorflow.op.core.SparseConditionalAccumulator

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.StatsAggregatorHandle.Options

sharedName(String) - Static method in class org.tensorflow.op.core.StatsAggregatorHandle

sharedName(String) - Method in class org.tensorflow.op.core.SummaryWriter.Options

sharedName(String) - Static method in class org.tensorflow.op.core.SummaryWriter

sharedName(String) - Method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap.Options

sharedName(String) - Static method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

sharedName(String) - Method in class org.tensorflow.op.core.TextLineReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.TextLineReader

sharedName(String) - Method in class org.tensorflow.op.core.TFRecordReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.TFRecordReader

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.core.WholeFileReader.Options

sharedName(String) - Static method in class org.tensorflow.op.core.WholeFileReader

shortest(Boolean) - Method in class org.tensorflow.op.core.AsString.Options

shortest(Boolean) - Static method in class org.tensorflow.op.core.AsString

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign

shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options

shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad

ShuffleAndRepeatDataset - Class in org.tensorflow.op.core

Creates a dataset that shuffles and repeats elements from `input_dataset`

shuffleAndRepeatDataset(Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an ShuffleAndRepeatDataset operation to the graph

ShuffleDataset - Class in org.tensorflow.op.core

Creates a dataset that shuffles elements from `input_dataset` pseudorandomly.

shuffleDataset(Operand<?>, Operand<Long>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>, ShuffleDataset.Options...) - Method in class org.tensorflow.op.Ops

Adds an ShuffleDataset operation to the graph

ShuffleDataset.Options - Class in org.tensorflow.op.core

Optional attributes for ShuffleDataset

Sigmoid<T> - Class in org.tensorflow.op.core

Computes sigmoid of `x` element-wise.

sigmoid(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sigmoid operation to the graph

SigmoidGrad<T> - Class in org.tensorflow.op.core

Computes the gradient of the sigmoid of `x` wrt its input.

sign() - Method in class org.tensorflow.op.core.LogMatrixDeterminant

The signs of the log determinants of the inputs.

Sign<T> - Class in org.tensorflow.op.core

Returns an element-wise indication of the sign of a number.

sign(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sign operation to the graph

signedInput(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantize.Options

signedInput(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantize

signedInput(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV2.Options

signedInput(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV2

signedInput(Boolean) - Method in class org.tensorflow.op.core.QuantizeAndDequantizeV3.Options

signedInput(Boolean) - Static method in class org.tensorflow.op.core.QuantizeAndDequantizeV3

Sin<T> - Class in org.tensorflow.op.core

Computes sin of x element-wise.

sin(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sin operation to the graph

Sinh<T> - Class in org.tensorflow.op.core

Computes hyperbolic sine of x element-wise.

sinh(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sinh operation to the graph

SinkDataset - Class in org.tensorflow.op.core

A placeholder for input pipeline graph optimizations.

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.QueueSize

The number of elements in the given queue.

size() - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox

1-D, containing `[target_height, target_width, -1]`.

size() - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

1-D, containing `[target_height, target_width, -1]`.

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(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Size operation to the graph

size(int) - Method in class org.tensorflow.Shape

The size of the i-th dimension.

sizes() - Method in class org.tensorflow.op.core.DecodeProtoV2

Tensor of int32 with shape `[batch_shape, len(field_names)]`.

SkipDataset - Class in org.tensorflow.op.core

Creates a dataset that skips `count` elements from the `input_dataset`.

skipDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an SkipDataset operation to the graph

skipEmpty(Boolean) - Method in class org.tensorflow.op.core.StringSplit.Options

skipEmpty(Boolean) - Static method in class org.tensorflow.op.core.StringSplit

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

Adds an Skipgram operation to the graph

Skipgram.Options - Class in org.tensorflow.op.core

Optional attributes for Skipgram

skipHeaderLines(Long) - Method in class org.tensorflow.op.core.TextLineReader.Options

skipHeaderLines(Long) - Static method in class org.tensorflow.op.core.TextLineReader

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

Adds an Slice operation to the graph

SlideDataset - Class in org.tensorflow.op.core

Creates a dataset that passes a sliding window over `input_dataset`.

slideDataset(Operand<?>, Operand<Long>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an SlideDataset operation to the graph

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

Adds an Snapshot operation to the graph

Softmax<T extends Number> - Class in org.tensorflow.op.core

Computes softmax activations.

softmax() - Method in class org.tensorflow.op.core.Softmax

Same shape as `logits`.

softmax(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Softmax operation to the graph

SoftmaxCrossEntropyWithLogits<T extends Number> - Class in org.tensorflow.op.core

Computes softmax cross entropy cost and gradients to backpropagate.

softmaxCrossEntropyWithLogits(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SoftmaxCrossEntropyWithLogits operation to the graph

Softplus<T extends Number> - Class in org.tensorflow.op.core

Computes softplus: `log(exp(features) + 1)`.

softplus(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Softplus operation to the graph

SoftplusGrad<T extends Number> - Class in org.tensorflow.op.core

Computes softplus gradients for a softplus operation.

Softsign<T extends Number> - Class in org.tensorflow.op.core

Computes softsign: `features / (abs(features) + 1)`.

softsign(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Softsign operation to the graph

SoftsignGrad<T extends Number> - Class in org.tensorflow.op.core

Computes softsign gradients for a softsign operation.

sorted(Boolean) - Method in class org.tensorflow.op.core.TopK.Options

sorted(Boolean) - Static method in class org.tensorflow.op.core.TopK

SpaceToBatch<T> - Class in org.tensorflow.op.core

SpaceToBatch for 4-D tensors of type T.

spaceToBatch(Operand<T>, Operand<U>, Long) - Method in class org.tensorflow.op.Ops

Adds an SpaceToBatch operation to the graph

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

Adds an SpaceToBatchND operation to the graph

SpaceToDepth<T> - Class in org.tensorflow.op.core

SpaceToDepth for tensors of type T.

spaceToDepth(Operand<T>, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.Ops

Adds an SpaceToDepth operation to the graph

SpaceToDepth.Options - Class in org.tensorflow.op.core

Optional attributes for SpaceToDepth

SparseAccumulatorApplyGradient - Class in org.tensorflow.op.core

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.Ops

Adds an SparseAccumulatorApplyGradient operation to the graph

SparseAccumulatorTakeGradient<T> - Class in org.tensorflow.op.core

Extracts the average sparse gradient in a SparseConditionalAccumulator.

sparseAccumulatorTakeGradient(Operand<String>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an SparseAccumulatorTakeGradient operation to the graph

SparseAdd<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseAdd operation to the graph

SparseAddGrad<T> - Class in org.tensorflow.op.core

The gradient operator for the SparseAdd op.

sparseAddGrad(Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseAddGrad operation to the graph

SparseApplyAdadelta<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyAdadelta operation to the graph

SparseApplyAdadelta.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyAdadelta

SparseApplyAdagrad<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyAdagrad operation to the graph

SparseApplyAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyAdagrad

SparseApplyAdagradDA<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyAdagradDA operation to the graph

SparseApplyAdagradDA.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyAdagradDA

SparseApplyCenteredRMSProp<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyCenteredRMSProp operation to the graph

SparseApplyCenteredRMSProp.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyCenteredRMSProp

SparseApplyFtrl<T> - Class in org.tensorflow.op.core

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>, SparseApplyFtrl.Options...) - Method in class org.tensorflow.op.Ops

Adds an SparseApplyFtrl operation to the graph

SparseApplyFtrl.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyFtrl

SparseApplyFtrlV2<T> - Class in org.tensorflow.op.core

Update relevant entries in '*var' according to the Ftrl-proximal scheme.

sparseApplyFtrlV2(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<U>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrlV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an SparseApplyFtrlV2 operation to the graph

SparseApplyFtrlV2.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyFtrlV2

SparseApplyMomentum<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyMomentum operation to the graph

SparseApplyMomentum.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyMomentum

SparseApplyProximalAdagrad<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyProximalAdagrad operation to the graph

SparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyProximalAdagrad

SparseApplyProximalGradientDescent<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyProximalGradientDescent operation to the graph

SparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyProximalGradientDescent

SparseApplyRMSProp<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseApplyRMSProp operation to the graph

SparseApplyRMSProp.Options - Class in org.tensorflow.op.core

Optional attributes for SparseApplyRMSProp

SparseConcat<T> - Class in org.tensorflow.op.core

Concatenates a list of `SparseTensor` along the specified dimension.

sparseConcat(Iterable<Operand<Long>>, Operand<T>, Iterable<Operand<Long>>, Long) - Method in class org.tensorflow.op.Ops

Adds an SparseConcat operation to the graph

SparseConditionalAccumulator - Class in org.tensorflow.op.core

A conditional accumulator for aggregating sparse gradients.

sparseConditionalAccumulator(Class<T>, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.Ops

Adds an SparseConditionalAccumulator operation to the graph

SparseConditionalAccumulator.Options - Class in org.tensorflow.op.core

Optional attributes for SparseConditionalAccumulator

SparseCross<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseCross operation to the graph

SparseDenseCwiseAdd<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseDenseCwiseAdd operation to the graph

SparseDenseCwiseDiv<T> - Class in org.tensorflow.op.core

Component-wise divides a SparseTensor by a dense Tensor.

sparseDenseCwiseDiv(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SparseDenseCwiseDiv operation to the graph

SparseDenseCwiseMul<T> - Class in org.tensorflow.op.core

Component-wise multiplies a SparseTensor by a dense Tensor.

sparseDenseCwiseMul(Operand<Long>, Operand<T>, Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SparseDenseCwiseMul operation to the graph

SparseFillEmptyRows<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseFillEmptyRows operation to the graph

SparseFillEmptyRowsGrad<T> - Class in org.tensorflow.op.core

The gradient of SparseFillEmptyRows.

sparseFillEmptyRowsGrad(Operand<Long>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SparseFillEmptyRowsGrad operation to the graph

sparseHandle() - Method in class org.tensorflow.op.core.AddSparseToTensorsMap

0-D.

sparseHandles() - Method in class org.tensorflow.op.core.AddManySparseToTensorsMap

1-D.

sparseIndices() - Method in class org.tensorflow.op.core.DeserializeManySparse

sparseIndices() - Method in class org.tensorflow.op.core.DeserializeSparse

sparseIndices() - Method in class org.tensorflow.op.core.ParseExample

sparseIndices() - Method in class org.tensorflow.op.core.ParseSingleExample

sparseIndices() - Method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

2-D.

SparseMatMul - Class in org.tensorflow.op.core

Multiply matrix "a" by matrix "b".

sparseMatMul(Operand<T>, Operand<U>, SparseMatMul.Options...) - Method in class org.tensorflow.op.Ops

Adds an SparseMatMul operation to the graph

SparseMatMul.Options - Class in org.tensorflow.op.core

Optional attributes for SparseMatMul

SparseReduceMax<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseReduceMax operation to the graph

SparseReduceMax.Options - Class in org.tensorflow.op.core

Optional attributes for SparseReduceMax

SparseReduceMaxSparse<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseReduceMaxSparse operation to the graph

SparseReduceMaxSparse.Options - Class in org.tensorflow.op.core

Optional attributes for SparseReduceMaxSparse

SparseReduceSum<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseReduceSum operation to the graph

SparseReduceSum.Options - Class in org.tensorflow.op.core

Optional attributes for SparseReduceSum

SparseReduceSumSparse<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseReduceSumSparse operation to the graph

SparseReduceSumSparse.Options - Class in org.tensorflow.op.core

Optional attributes for SparseReduceSumSparse

SparseReorder<T> - Class in org.tensorflow.op.core

Reorders a SparseTensor into the canonical, row-major ordering.

sparseReorder(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseReorder operation to the graph

SparseReshape - Class in org.tensorflow.op.core

Reshapes a SparseTensor to represent values in a new dense shape.

sparseReshape(Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseReshape operation to the graph

SparseSegmentMean<T extends Number> - Class in org.tensorflow.op.core

Computes the mean along sparse segments of a tensor.

sparseSegmentMean(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentMean operation to the graph

SparseSegmentMeanGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients for SparseSegmentMean.

sparseSegmentMeanGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentMeanGrad operation to the graph

SparseSegmentMeanWithNumSegments<T extends Number> - Class in org.tensorflow.op.core

Computes the mean along sparse segments of a tensor.

sparseSegmentMeanWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentMeanWithNumSegments operation to the graph

SparseSegmentSqrtN<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSegmentSqrtN operation to the graph

SparseSegmentSqrtNGrad<T extends Number> - Class in org.tensorflow.op.core

Computes gradients for SparseSegmentSqrtN.

sparseSegmentSqrtNGrad(Operand<T>, Operand<U>, Operand<Integer>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentSqrtNGrad operation to the graph

SparseSegmentSqrtNWithNumSegments<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSegmentSqrtNWithNumSegments operation to the graph

SparseSegmentSum<T extends Number> - Class in org.tensorflow.op.core

Computes the sum along sparse segments of a tensor.

sparseSegmentSum(Operand<T>, Operand<U>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentSum operation to the graph

SparseSegmentSumWithNumSegments<T extends Number> - Class in org.tensorflow.op.core

Computes the sum along sparse segments of a tensor.

sparseSegmentSumWithNumSegments(Operand<T>, Operand<U>, Operand<Integer>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an SparseSegmentSumWithNumSegments operation to the graph

sparseShape() - Method in class org.tensorflow.op.core.DeserializeManySparse

sparseShape() - Method in class org.tensorflow.op.core.DeserializeSparse

sparseShape() - Method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

1-D.

sparseShapes() - Method in class org.tensorflow.op.core.ParseExample

sparseShapes() - Method in class org.tensorflow.op.core.ParseSingleExample

SparseSlice<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSlice operation to the graph

SparseSliceGrad<T> - Class in org.tensorflow.op.core

The gradient operator for the SparseSlice op.

sparseSliceGrad(Operand<T>, Operand<Long>, Operand<Long>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseSliceGrad operation to the graph

SparseSoftmax<T extends Number> - Class in org.tensorflow.op.core

Applies softmax to a batched N-D `SparseTensor`.

sparseSoftmax(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseSoftmax operation to the graph

SparseSoftmaxCrossEntropyWithLogits<T extends Number> - Class in org.tensorflow.op.core

Computes softmax cross entropy cost and gradients to backpropagate.

sparseSoftmaxCrossEntropyWithLogits(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an SparseSoftmaxCrossEntropyWithLogits operation to the graph

SparseSparseMaximum<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSparseMaximum operation to the graph

SparseSparseMinimum<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSparseMinimum operation to the graph

SparseSplit<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseSplit operation to the graph

SparseTensorDenseAdd<U> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseTensorDenseAdd operation to the graph

SparseTensorDenseMatMul<U> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseTensorDenseMatMul operation to the graph

SparseTensorDenseMatMul.Options - Class in org.tensorflow.op.core

Optional attributes for SparseTensorDenseMatMul

SparseTensorSliceDataset - Class in org.tensorflow.op.core

Creates a dataset that splits a SparseTensor into elements row-wise.

sparseTensorSliceDataset(Operand<Long>, Operand<T>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an SparseTensorSliceDataset operation to the graph

SparseToDense<U> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseToDense operation to the graph

SparseToDense.Options - Class in org.tensorflow.op.core

Optional attributes for SparseToDense

SparseToSparseSetOperation<T> - Class in org.tensorflow.op.core

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.Ops

Adds an SparseToSparseSetOperation operation to the graph

SparseToSparseSetOperation.Options - Class in org.tensorflow.op.core

Optional attributes for SparseToSparseSetOperation

sparseValues() - Method in class org.tensorflow.op.core.DeserializeManySparse

sparseValues() - Method in class org.tensorflow.op.core.DeserializeSparse

sparseValues() - Method in class org.tensorflow.op.core.ParseExample

sparseValues() - Method in class org.tensorflow.op.core.ParseSingleExample

sparseValues() - Method in class org.tensorflow.op.core.TakeManySparseFromTensorsMap

1-D.

spectrogram() - Method in class org.tensorflow.op.core.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

Adds an Split operation to the graph

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

Adds an SplitV operation to the graph

SqlDataset - Class in org.tensorflow.op.core

Creates a dataset that executes a SQL query and emits rows of the result set.

sqlDataset(Operand<String>, Operand<String>, Operand<String>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an SqlDataset operation to the graph

Sqrt<T> - Class in org.tensorflow.op.core

Computes square root of x element-wise.

sqrt(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sqrt operation to the graph

SqrtGrad<T> - Class in org.tensorflow.op.core

Computes the gradient for the sqrt of `x` wrt its input.

Square<T> - Class in org.tensorflow.op.core

Computes square of x element-wise.

square(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Square operation to the graph

SquaredDifference<T> - Class in org.tensorflow.op.core

Returns (x - y)(x - y) element-wise.

squaredDifference(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an SquaredDifference operation to the graph

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

Adds an Squeeze operation to the graph

Squeeze.Options - Class in org.tensorflow.op.core

Optional attributes for Squeeze

srcFormat(String) - Method in class org.tensorflow.op.core.DataFormatDimMap.Options

srcFormat(String) - Static method in class org.tensorflow.op.core.DataFormatDimMap

srcFormat(String) - Method in class org.tensorflow.op.core.DataFormatVecPermute.Options

srcFormat(String) - Static method in class org.tensorflow.op.core.DataFormatVecPermute

Stack<T> - Class in org.tensorflow.op.core

Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

stack(Operand<T>, Stack.Options...) - Method in class org.tensorflow.op.Ops

Adds an Stack operation to the graph

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

Adds an Stage operation to the graph

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

Adds an StageClear operation to the graph

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

Adds an StagePeek operation to the graph

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

Adds an StageSize operation to the graph

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.

state() - Method in class org.tensorflow.op.core.ReaderSerializeState

StatelessMultinomial<V extends Number> - Class in org.tensorflow.op.core

Draws samples from a multinomial distribution.

statelessMultinomial(Operand<T>, Operand<Integer>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an StatelessMultinomial operation to the graph

StatelessRandomNormal<V extends Number> - Class in org.tensorflow.op.core

Outputs deterministic pseudorandom values from a normal distribution.

statelessRandomNormal(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an StatelessRandomNormal operation to the graph

StatelessRandomUniform<V extends Number> - Class in org.tensorflow.op.core

Outputs deterministic pseudorandom random values from a uniform distribution.

statelessRandomUniform(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an StatelessRandomUniform operation to the graph

StatelessTruncatedNormal<V extends Number> - Class in org.tensorflow.op.core

Outputs deterministic pseudorandom values from a truncated normal distribution.

statelessTruncatedNormal(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an StatelessTruncatedNormal operation to the graph

StatsAggregatorHandle - Class in org.tensorflow.op.core

Creates a statistics manager resource.

statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.Ops

Adds an StatsAggregatorHandle operation to the graph

StatsAggregatorHandle.Options - Class in org.tensorflow.op.core

Optional attributes for StatsAggregatorHandle

StatsAggregatorSummary - Class in org.tensorflow.op.core

Produces a summary of any statistics recorded by the given statistics manager.

statsAggregatorSummary(Operand<?>) - Method in class org.tensorflow.op.Ops

Adds an StatsAggregatorSummary operation to the graph

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`.

StopGradient<T> - Class in org.tensorflow.op.core

Stops gradient computation.

stopGradient(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an StopGradient operation to the graph

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

Adds an StridedSlice operation to the graph

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

Adds an StridedSliceAssign operation to the graph

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

Adds an StridedSliceGrad operation to the graph

StridedSliceGrad.Options - Class in org.tensorflow.op.core

Optional attributes for StridedSliceGrad

stringHandle() - Method in class org.tensorflow.op.core.IteratorToStringHandle

A string representation of the given handle.

StringJoin - Class in org.tensorflow.op.core

Joins the strings in the given list of string tensors into one tensor;

stringJoin(Iterable<Operand<String>>, StringJoin.Options...) - Method in class org.tensorflow.op.Ops

Adds an StringJoin operation to the graph

StringJoin.Options - Class in org.tensorflow.op.core

Optional attributes for StringJoin

StringSplit - Class in org.tensorflow.op.core

Split elements of `input` based on `delimiter` into a `SparseTensor`.

stringSplit(Operand<String>, Operand<String>, StringSplit.Options...) - Method in class org.tensorflow.op.Ops

Adds an StringSplit operation to the graph

StringSplit.Options - Class in org.tensorflow.op.core

Optional attributes for StringSplit

StringSplitV2 - Class in org.tensorflow.op.core

Split elements of `source` based on `sep` into a `SparseTensor`.

stringSplitV2(Operand<String>, Operand<String>, StringSplitV2.Options...) - Method in class org.tensorflow.op.Ops

Adds an StringSplitV2 operation to the graph

StringSplitV2.Options - Class in org.tensorflow.op.core

Optional attributes for StringSplitV2

StringStrip - Class in org.tensorflow.op.core

Strip leading and trailing whitespaces from the Tensor.

stringStrip(Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an StringStrip operation to the graph

StringToHashBucket - Class in org.tensorflow.op.core

Converts each string in the input Tensor to its hash mod by a number of buckets.

stringToHashBucket(Operand<String>, Long) - Method in class org.tensorflow.op.Ops

Adds an StringToHashBucket operation to the graph

StringToHashBucketFast - Class in org.tensorflow.op.core

Converts each string in the input Tensor to its hash mod by a number of buckets.

stringToHashBucketFast(Operand<String>, Long) - Method in class org.tensorflow.op.Ops

Adds an StringToHashBucketFast operation to the graph

StringToHashBucketStrong - Class in org.tensorflow.op.core

Converts each string in the input Tensor to its hash mod by a number of buckets.

stringToHashBucketStrong(Operand<String>, Long, List<Long>) - Method in class org.tensorflow.op.Ops

Adds an StringToHashBucketStrong operation to the graph

StringToNumber<T extends Number> - Class in org.tensorflow.op.core

Converts each string in the input Tensor to the specified numeric type.

stringToNumber(Operand<String>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an StringToNumber operation to the graph

Sub<T> - Class in org.tensorflow.op.core

Returns x - y element-wise.

sub(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Sub operation to the graph

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.core

Return substrings from `Tensor` of strings.

substr(Operand<String>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Substr operation to the graph

Subtract<T> - Class in org.tensorflow.op.core

Returns x - y element-wise.

subtract(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Subtract operation to the graph

sum() - Method in class org.tensorflow.op.core.AccumulateNV2

sum() - Method in class org.tensorflow.op.core.AddN

Sum<T> - Class in org.tensorflow.op.core

Computes the sum of elements across dimensions of a tensor.

sum(Operand<T>, Operand<U>, Sum.Options...) - Method in class org.tensorflow.op.Ops

Adds an Sum operation to the graph

Sum.Options - Class in org.tensorflow.op.core

Optional attributes for Sum

sumIndices() - Method in class org.tensorflow.op.core.SparseAdd

summarize(Long) - Method in class org.tensorflow.op.core.Assert.Options

summarize(Long) - Static method in class org.tensorflow.op.core.Assert

summarize(Long) - Method in class org.tensorflow.op.core.Print.Options

summarize(Long) - Static method in class org.tensorflow.op.core.Print

summary() - Method in class org.tensorflow.op.core.AudioSummary

Scalar.

summary() - Method in class org.tensorflow.op.core.HistogramSummary

Scalar.

summary() - Method in class org.tensorflow.op.core.ImageSummary

Scalar.

summary() - Method in class org.tensorflow.op.core.MergeSummary

Scalar.

summary() - Method in class org.tensorflow.op.core.ScalarSummary

Scalar.

summary() - Method in class org.tensorflow.op.core.StatsAggregatorSummary

summary() - Method in class org.tensorflow.op.core.TensorSummary

summary() - Method in class org.tensorflow.op.core.TensorSummaryV2

SummaryWriter - Class in org.tensorflow.op.core

SummaryWriter.Options - Class in org.tensorflow.op.core

Optional attributes for SummaryWriter

sumShape() - Method in class org.tensorflow.op.core.SparseAdd

sumValues() - Method in class org.tensorflow.op.core.SparseAdd

Svd<T> - Class in org.tensorflow.op.core

Computes the singular value decompositions of one or more matrices.

svd(Operand<T>, Svd.Options...) - Method in class org.tensorflow.op.Ops

Adds an Svd operation to the graph

Svd.Options - Class in org.tensorflow.op.core

Optional attributes for Svd

Switch<T> - Class in org.tensorflow.op.core

Forwards `data` to the output port determined by `pred`.

T

tableHandle() - Method in class org.tensorflow.op.core.HashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableDenseHashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableHashTable

Handle to a table.

tableHandle() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors

Handle to a table.

TakeDataset - Class in org.tensorflow.op.core

Creates a dataset that contains `count` elements from the `input_dataset`.

takeDataset(Operand<?>, Operand<Long>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an TakeDataset operation to the graph

TakeManySparseFromTensorsMap<T> - Class in org.tensorflow.op.core

Read `SparseTensors` from a `SparseTensorsMap` and concatenate them.

takeManySparseFromTensorsMap(Operand<Long>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.Ops

Adds an TakeManySparseFromTensorsMap operation to the graph

TakeManySparseFromTensorsMap.Options - Class in org.tensorflow.op.core

Optional attributes for TakeManySparseFromTensorsMap

Tan<T> - Class in org.tensorflow.op.core

Computes tan of x element-wise.

tan(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Tan operation to the graph

Tanh<T> - Class in org.tensorflow.op.core

Computes hyperbolic tangent of `x` element-wise.

tanh(Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Tanh operation to the graph

TanhGrad<T> - Class in org.tensorflow.op.core

Computes the gradient for the tanh of `x` wrt its input.

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

Adds an TemporaryVariable operation to the graph

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.Restore

The restored tensor.

tensor() - Method in class org.tensorflow.op.core.RestoreSlice

The restored tensor.

tensor() - Method in class org.tensorflow.op.core.TensorListPopBack

tensor() - Method in class org.tensorflow.op.core.TensorListStack

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

Adds an TensorArray operation to the graph

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

Adds an TensorArrayClose operation to the graph

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

Adds an TensorArrayConcat operation to the graph

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

Adds an TensorArrayGather operation to the graph

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

Adds an TensorArrayGrad operation to the graph

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

Adds an TensorArrayGradWithShape operation to the graph

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

Adds an TensorArrayPack operation to the graph

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

Adds an TensorArrayRead operation to the graph

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

Adds an TensorArrayScatter operation to the graph

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

Adds an TensorArraySize operation to the graph

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

Adds an TensorArraySplit operation to the graph

TensorArrayUnpack - Class in org.tensorflow.op.core

tensorArrayUnpack(Operand<String>, Operand<T>, Operand<Float>) - Method in class org.tensorflow.op.Ops

Adds an TensorArrayUnpack operation to the graph

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

Adds an TensorArrayWrite operation to the graph

TensorDataset - Class in org.tensorflow.op.core

Creates a dataset that emits `components` as a tuple of tensors once.

tensorDataset(Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an TensorDataset operation to the graph

TensorFlow - Class in org.tensorflow

Static utility methods describing the TensorFlow runtime.

TensorFlowException - Exception in org.tensorflow

Unchecked exception thrown when executing TensorFlow Graphs.

TensorListConcatLists - Class in org.tensorflow.op.core

tensorListConcatLists(Operand<?>, Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListConcatLists operation to the graph

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

Adds an TensorListElementShape operation to the graph

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

Adds an TensorListFromTensor operation to the graph

TensorListGetItem<T> - Class in org.tensorflow.op.core

tensorListGetItem(Operand<?>, Operand<Integer>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListGetItem operation to the graph

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

Adds an TensorListLength operation to the graph

TensorListPopBack<T> - Class in org.tensorflow.op.core

Returns the last element of the input list as well as a list with all but that element.

tensorListPopBack(Operand<?>, Class<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPopBack operation to the graph

TensorListPushBack - Class in org.tensorflow.op.core

Returns a list list which has the passed-in `Tensor` as last element and the other elements of the given list in `input_handle`.

tensorListPushBack(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPushBack operation to the graph

TensorListPushBackBatch - Class in org.tensorflow.op.core

tensorListPushBackBatch(Operand<?>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListPushBackBatch operation to the graph

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

Adds an TensorListReserve operation to the graph

TensorListSetItem - Class in org.tensorflow.op.core

tensorListSetItem(Operand<?>, Operand<Integer>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TensorListSetItem operation to the graph

TensorListStack<T> - Class in org.tensorflow.op.core

Stacks all tensors in the list.

tensorListStack(Operand<?>, Class<T>, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorListStack operation to the graph

TensorListStack.Options - Class in org.tensorflow.op.core

Optional attributes for TensorListStack

tensors() - Method in class org.tensorflow.op.core.RestoreV2

shape {N}.

Tensors - Class in org.tensorflow

Type-safe factory methods for creating Tensor objects.

TensorSliceDataset - Class in org.tensorflow.op.core

Creates a dataset that emits each dim-0 slice of `components` once.

tensorSliceDataset(Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an TensorSliceDataset operation to the graph

TensorSummary - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with a tensor.

tensorSummary(Operand<T>, TensorSummary.Options...) - Method in class org.tensorflow.op.Ops

Adds an TensorSummary operation to the graph

TensorSummary.Options - Class in org.tensorflow.op.core

Optional attributes for TensorSummary

TensorSummaryV2 - Class in org.tensorflow.op.core

Outputs a `Summary` protocol buffer with a tensor and per-plugin data.

tensorSummaryV2(Operand<String>, Operand<T>, Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an TensorSummaryV2 operation to the graph

testEndPoint(String) - Method in class org.tensorflow.op.core.BigQueryReader.Options

testEndPoint(String) - Static method in class org.tensorflow.op.core.BigQueryReader

testEndPoint(String) - Method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions.Options

testEndPoint(String) - Static method in class org.tensorflow.op.core.GenerateBigQueryReaderPartitions

TextLineDataset - Class in org.tensorflow.op.core

Creates a dataset that emits the lines of one or more text files.

textLineDataset(Operand<String>, Operand<String>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an TextLineDataset operation to the graph

TextLineReader - Class in org.tensorflow.op.core

A Reader that outputs the lines of a file delimited by '\n'.

textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an TextLineReader operation to the graph

TextLineReader.Options - Class in org.tensorflow.op.core

Optional attributes for TextLineReader

TFBool - Class in org.tensorflow.types

Represents a boolean.

TFDouble - Class in org.tensorflow.types

Represents a 64-bit double precision floating point number.

TFFloat - Class in org.tensorflow.types

Represents a 32-bit single precision floating point number.

TFInt32 - Class in org.tensorflow.types

Represents a 32-bit signed integer.

TFInt64 - Class in org.tensorflow.types

Represents a 64-bit signed integer.

TFRecordDataset - Class in org.tensorflow.op.core

Creates a dataset that emits the records from one or more TFRecord files.

tFRecordDataset(Operand<String>, Operand<String>, Operand<Long>) - Method in class org.tensorflow.op.Ops

Adds an TFRecordDataset operation to the graph

TFRecordReader - Class in org.tensorflow.op.core

A Reader that outputs the records from a TensorFlow Records file.

tFRecordReader(TFRecordReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an TFRecordReader operation to the graph

TFRecordReader.Options - Class in org.tensorflow.op.core

Optional attributes for TFRecordReader

TFString - Class in org.tensorflow.types

Represents an arbitrary sequence of bytes.

TFType - Interface in org.tensorflow.types

A marker interface for classes representing TensorFlow types.

TFUInt8 - Class in org.tensorflow.types

Represents an 8-bit unsigned integer.

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

Adds an Tile operation to the graph

TileGrad<T> - Class in org.tensorflow.op.core

Returns the gradient of `Tile`.

tileGrad(Operand<T>, Operand<Integer>) - Method in class org.tensorflow.op.Ops

Adds an TileGrad operation to the graph

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.core.QueueDequeue.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.QueueDequeue

timeoutMs(Long) - Method in class org.tensorflow.op.core.QueueDequeueMany.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.QueueDequeueMany

timeoutMs(Long) - Method in class org.tensorflow.op.core.QueueDequeueUpTo.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.QueueDequeueUpTo

timeoutMs(Long) - Method in class org.tensorflow.op.core.QueueEnqueue.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.QueueEnqueue

timeoutMs(Long) - Method in class org.tensorflow.op.core.QueueEnqueueMany.Options

timeoutMs(Long) - Static method in class org.tensorflow.op.core.QueueEnqueueMany

Timestamp - Class in org.tensorflow.op.core

Provides the time since epoch in seconds.

timestamp() - Method in class org.tensorflow.op.Ops

Adds an Timestamp operation to the graph

toGraphDef() - Method in class org.tensorflow.Graph

Generate a serialized representation of the Graph.

tolerance(Float) - Method in class org.tensorflow.op.core.ApproximateEqual.Options

tolerance(Float) - Static method in class org.tensorflow.op.core.ApproximateEqual

TopK<T extends Number> - Class in org.tensorflow.op.core

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.Ops

Adds an TopK operation to the graph

TopK.Options - Class in org.tensorflow.op.core

Optional attributes for TopK

toString() - Method in class org.tensorflow.op.PrimitiveOp

toString() - Method in class org.tensorflow.Operation

toString() - Method in class org.tensorflow.Output

toString() - Method in class org.tensorflow.Shape

Succinct description of the shape meant for debugging.

toString() - Method in class org.tensorflow.Tensor

Returns a string describing the type and shape of the Tensor.

totalWordsProcessed() - Method in class org.tensorflow.op.core.Skipgram

The total number of words processed so far.

Transpose<T> - Class in org.tensorflow.op.core

Shuffle dimensions of x according to a permutation.

transpose(Operand<T>, Operand<U>) - Method in class org.tensorflow.op.Ops

Adds an Transpose operation to the graph

transposeA(Boolean) - Method in class org.tensorflow.op.core.MatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.core.MatMul

transposeA(Boolean) - Method in class org.tensorflow.op.core.QuantizedMatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.core.QuantizedMatMul

transposeA(Boolean) - Method in class org.tensorflow.op.core.SparseMatMul.Options

transposeA(Boolean) - Static method in class org.tensorflow.op.core.SparseMatMul

transposeB(Boolean) - Method in class org.tensorflow.op.core.MatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.core.MatMul

transposeB(Boolean) - Method in class org.tensorflow.op.core.QuantizedMatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.core.QuantizedMatMul

transposeB(Boolean) - Method in class org.tensorflow.op.core.SparseMatMul.Options

transposeB(Boolean) - Static method in class org.tensorflow.op.core.SparseMatMul

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.

trueExpectedCount() - Method in class org.tensorflow.op.core.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.core.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.core.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.core.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.core.UniformCandidateSampler

A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates.

TruncateDiv<T> - Class in org.tensorflow.op.core

Returns x / y element-wise for integer types.

truncateDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TruncateDiv operation to the graph

TruncatedNormal<U extends Number> - Class in org.tensorflow.op.core

Outputs random values from a truncated normal distribution.

truncatedNormal(Operand<T>, Class<U>, TruncatedNormal.Options...) - Method in class org.tensorflow.op.Ops

Adds an TruncatedNormal operation to the graph

TruncatedNormal.Options - Class in org.tensorflow.op.core

Optional attributes for TruncatedNormal

TruncateMod<T extends Number> - Class in org.tensorflow.op.core

Returns element-wise remainder of division.

truncateMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an TruncateMod operation to the graph

tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.core.DecodeAndCropJpeg.Options

tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.core.DecodeAndCropJpeg

tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.core.DecodeJpeg.Options

tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.core.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

Adds an TryRpc operation to the graph

TryRpc.Options - Class in org.tensorflow.op.core

Optional attributes for TryRpc

ts() - Method in class org.tensorflow.op.core.Timestamp

type() - Method in class org.tensorflow.Operation

Returns the type of the operation, i.e., the name of the computation performed by the operation.

Types - Class in org.tensorflow.types

Utility class for managing the representation of TensorFlow types as Java types.

U

u() - Method in class org.tensorflow.op.core.BatchSvd

u() - Method in class org.tensorflow.op.core.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

Adds an Unbatch operation to the graph

Unbatch.Options - Class in org.tensorflow.op.core

Optional attributes for Unbatch

UnbatchDataset - Class in org.tensorflow.op.core

A dataset that splits the elements of its input into multiple elements.

unbatchDataset(Operand<?>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an UnbatchDataset operation to the graph

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

Adds an UnbatchGrad operation to the graph

UnbatchGrad.Options - Class in org.tensorflow.op.core

Optional attributes for UnbatchGrad

UniformCandidateSampler - Class in org.tensorflow.op.core

Generates labels for candidate sampling with a uniform distribution.

uniformCandidateSampler(Operand<Long>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Method in class org.tensorflow.op.Ops

Adds an UniformCandidateSampler operation to the graph

UniformCandidateSampler.Options - Class in org.tensorflow.op.core

Optional attributes for UniformCandidateSampler

uniformNoise(Boolean) - Method in class org.tensorflow.op.core.ExtractGlimpse.Options

uniformNoise(Boolean) - Static method in class org.tensorflow.op.core.ExtractGlimpse

unigrams(List<Float>) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

unigrams(List<Float>) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

Unique<T,U extends Number> - Class in org.tensorflow.op.core

Finds unique elements in a 1-D tensor.

unique(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an Unique operation to the graph

UniqueV2<T,V extends Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

uniqueV2(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an UniqueV2 operation to the graph

UniqueWithCounts<T,U extends Number> - Class in org.tensorflow.op.core

Finds unique elements in a 1-D tensor.

uniqueWithCounts(Operand<T>, Class<U>) - Method in class org.tensorflow.op.Ops

Adds an UniqueWithCounts operation to the graph

UniqueWithCountsV2<T,V extends Number> - Class in org.tensorflow.op.core

Finds unique elements along an axis of a tensor.

uniqueWithCountsV2(Operand<T>, Operand<U>, Class<V>) - Method in class org.tensorflow.op.Ops

Adds an UniqueWithCountsV2 operation to the graph

unitsCompleted() - Method in class org.tensorflow.op.core.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

Adds an UnravelIndex operation to the graph

UnsortedSegmentMax<T extends Number> - Class in org.tensorflow.op.core

Computes the maximum along segments of a tensor.

unsortedSegmentMax(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an UnsortedSegmentMax operation to the graph

UnsortedSegmentMin<T extends Number> - Class in org.tensorflow.op.core

Computes the minimum along segments of a tensor.

unsortedSegmentMin(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an UnsortedSegmentMin operation to the graph

UnsortedSegmentProd<T> - Class in org.tensorflow.op.core

Computes the product along segments of a tensor.

unsortedSegmentProd(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an UnsortedSegmentProd operation to the graph

UnsortedSegmentSum<T> - Class in org.tensorflow.op.core

Computes the sum along segments of a tensor.

unsortedSegmentSum(Operand<T>, Operand<U>, Operand<V>) - Method in class org.tensorflow.op.Ops

Adds an UnsortedSegmentSum operation to the graph

Unstack<T> - Class in org.tensorflow.op.core

Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.

unstack(Operand<T>, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops

Adds an Unstack operation to the graph

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

Adds an Unstage operation to the graph

Unstage.Options - Class in org.tensorflow.op.core

Optional attributes for Unstage

updateSlots(Boolean) - Method in class org.tensorflow.op.core.ApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdagrad

updateSlots(Boolean) - Method in class org.tensorflow.op.core.SparseApplyAdagrad.Options

updateSlots(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyAdagrad

upperFrequencyLimit(Float) - Method in class org.tensorflow.op.core.Mfcc.Options

upperFrequencyLimit(Float) - Static method in class org.tensorflow.op.core.Mfcc

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.core.Conv2D.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.core.Conv2D

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.core.Conv2DBackpropFilter.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.core.Conv2DBackpropFilter

useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.core.Conv2DBackpropInput.Options

useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.core.Conv2DBackpropInput

useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBox.Options

useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBox

useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2.Options

useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.core.SampleDistortedBoundingBoxV2

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAdagradDA.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdagradDA

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAdam.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdam

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAdaMax.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdaMax

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyAddSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyAddSign

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyCenteredRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyCenteredRMSProp

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyFtrlV2.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyFtrlV2

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyPowerSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyPowerSign

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.ApplyRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ApplyRMSProp

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.ResourceApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdagradDA.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdagradDA

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdam.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdam

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdaMax.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdaMax

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAddSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAddSign

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyCenteredRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyCenteredRMSProp

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyFtrlV2.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyFtrlV2

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyPowerSign.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyPowerSign

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyRMSProp

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyAdagradDA.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyAdagradDA

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyCenteredRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyCenteredRMSProp

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyFtrlV2.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyFtrlV2

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyRMSProp

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.core.SparseApplyAdadelta.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyAdadelta

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyAdagradDA.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyAdagradDA

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyCenteredRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyCenteredRMSProp

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyFtrl.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyFtrl

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyFtrlV2.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyFtrlV2

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyMomentum.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyMomentum

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyProximalAdagrad.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyProximalAdagrad

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyProximalGradientDescent.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyProximalGradientDescent

useLocking(Boolean) - Method in class org.tensorflow.op.core.SparseApplyRMSProp.Options

useLocking(Boolean) - Static method in class org.tensorflow.op.core.SparseApplyRMSProp

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ApplyAdam.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ApplyAdam

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyAdam.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyAdam

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ResourceApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ResourceApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.core.ResourceSparseApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.ResourceSparseApplyMomentum

useNesterov(Boolean) - Method in class org.tensorflow.op.core.SparseApplyMomentum.Options

useNesterov(Boolean) - Static method in class org.tensorflow.op.core.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.core.DecodeCSV.Options

useQuoteDelim(Boolean) - Static method in class org.tensorflow.op.core.DecodeCSV

V

v() - Method in class org.tensorflow.op.core.BatchSelfAdjointEigV2

v() - Method in class org.tensorflow.op.core.BatchSvd

v() - Method in class org.tensorflow.op.core.SelfAdjointEig

Eigenvectors.

v() - Method in class org.tensorflow.op.core.Svd

Left singular vectors.

valGrad() - Method in class org.tensorflow.op.core.SparseSliceGrad

1-D.

validateIndices(Boolean) - Method in class org.tensorflow.op.core.DenseToDenseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.DenseToDenseSetOperation

validateIndices(Boolean) - Method in class org.tensorflow.op.core.DenseToSparseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.DenseToSparseSetOperation

validateIndices(Boolean) - Method in class org.tensorflow.op.core.Gather.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.Gather

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.core.SparseToDense.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SparseToDense

validateIndices(Boolean) - Method in class org.tensorflow.op.core.SparseToSparseSetOperation.Options

validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SparseToSparseSetOperation

validateShape(Boolean) - Method in class org.tensorflow.op.core.Assign.Options

validateShape(Boolean) - Static method in class org.tensorflow.op.core.Assign

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.ReaderRead

A scalar.

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.

valueIndex() - Method in class org.tensorflow.op.core.Merge

The index of the chosen input tensor in `inputs`.

valueIndex() - Method in class org.tensorflow.op.core.RefMerge

The index of the chosen input tensor in `inputs`.

valueOf(String) - Static method in enum org.tensorflow.DataType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.tensorflow.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class org.tensorflow.op.core.BarrierTakeMany

One any-dimensional tensor per component in a barrier element.

values() - Method in class org.tensorflow.op.core.DecodeProtoV2

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.NthElement

The `n`-th order statistic along each last dimensional slice.

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.ReaderReadUpTo

A 1-D tensor.

values() - Method in class org.tensorflow.op.core.SparseAccumulatorTakeGradient

Values of the average of the accumulated sparse gradients.

values() - Method in class org.tensorflow.op.core.StagePeek

values() - Method in class org.tensorflow.op.core.StringSplit

A vector of strings corresponding to the splited values.

values() - Method in class org.tensorflow.op.core.StringSplitV2

values() - Method in class org.tensorflow.op.core.TopK

The `k` largest elements along each last dimensional slice.

values() - Method in class org.tensorflow.op.core.Unstage

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

Adds an VarHandleOp operation to the graph

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

Adds an Variable operation to the graph

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

Adds an VariableShape operation to the graph

varianceEpsilon(Float) - Method in class org.tensorflow.op.core.QuantizedInstanceNorm.Options

varianceEpsilon(Float) - Static method in class org.tensorflow.op.core.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

Adds an VarIsInitializedOp operation to the graph

varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options

varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable

version() - Static method in class org.tensorflow.TensorFlow

Returns the version of the underlying TensorFlow runtime.

vocabFile(String) - Method in class org.tensorflow.op.core.FixedUnigramCandidateSampler.Options

vocabFile(String) - Static method in class org.tensorflow.op.core.FixedUnigramCandidateSampler

vocabFreq() - Method in class org.tensorflow.op.core.Skipgram

Frequencies of words.

vocabSize(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options

vocabSize(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile

vocabWord() - Method in class org.tensorflow.op.core.Skipgram

A vector of words in the corpus.

W

waitForIncomplete(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options

waitForIncomplete(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany

weights() - Method in class org.tensorflow.op.core.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.core.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

Adds an Where operation to the graph

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

Adds an Where3 operation to the graph

WholeFileReader - Class in org.tensorflow.op.core

A Reader that outputs the entire contents of a file as a value.

wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.Ops

Adds an WholeFileReader operation to the graph

WholeFileReader.Options - Class in org.tensorflow.op.core

Optional attributes for WholeFileReader

width(Long) - Method in class org.tensorflow.op.core.AsString.Options

width(Long) - Static method in class org.tensorflow.op.core.AsString

WindowDataset - Class in org.tensorflow.op.core

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

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.

withSubScope(String) - Method in class org.tensorflow.op.Ops

Returns an API that adds operations to the graph with the provided name prefix.

withSubScope(String) - Method in class org.tensorflow.op.Scope

Returns a new scope where added operations will have the provided name prefix.

wordsPerEpoch() - Method in class org.tensorflow.op.core.Skipgram

Number of words per epoch in the data file.

WriteAudioSummary - Class in org.tensorflow.op.core

WriteAudioSummary.Options - Class in org.tensorflow.op.core

Optional attributes for WriteAudioSummary

WriteFile - Class in org.tensorflow.op.core

Writes contents to the file at input filename.

writeFile(Operand<String>, Operand<String>) - Method in class org.tensorflow.op.Ops

Adds an WriteFile operation to the graph

WriteGraphSummary - Class in org.tensorflow.op.core

WriteHistogramSummary - Class in org.tensorflow.op.core

WriteImageSummary - Class in org.tensorflow.op.core

WriteImageSummary.Options - Class in org.tensorflow.op.core

Optional attributes for WriteImageSummary

writer() - Method in class org.tensorflow.op.core.SummaryWriter

WriteScalarSummary - Class in org.tensorflow.op.core

WriteSummary - Class in org.tensorflow.op.core

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.FusedBatchNormGrad

A 4D Tensor for the gradient with respect to x.

xBackprop() - Method in class org.tensorflow.op.core.FusedBatchNormGradV2

A 4D Tensor for the gradient with respect to x.

xDensity(Long) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

xDensity(Long) - Static method in class org.tensorflow.op.core.EncodeJpeg

xmpMetadata(String) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

xmpMetadata(String) - Static method in class org.tensorflow.op.core.EncodeJpeg

Y

y() - Method in class org.tensorflow.op.core.Abs

y() - Method in class org.tensorflow.op.core.Acos

y() - Method in class org.tensorflow.op.core.Acosh

y() - Method in class org.tensorflow.op.core.Asin

y() - Method in class org.tensorflow.op.core.Asinh

y() - Method in class org.tensorflow.op.core.Atan

y() - Method in class org.tensorflow.op.core.Atanh

y() - Method in class org.tensorflow.op.core.BesselI0e

y() - Method in class org.tensorflow.op.core.BesselI1e

y() - Method in class org.tensorflow.op.core.Cast

y() - Method in class org.tensorflow.op.core.Ceil

y() - Method in class org.tensorflow.op.core.ComplexAbs

y() - Method in class org.tensorflow.op.core.ConjugateTranspose

y() - Method in class org.tensorflow.op.core.Cos

y() - Method in class org.tensorflow.op.core.Cosh

y() - Method in class org.tensorflow.op.core.DataFormatDimMap

A Tensor with each element as a dimension index in destination data format.

y() - Method in class org.tensorflow.op.core.DataFormatVecPermute

Vector of size 4 or Tensor of shape (4, 2) in destination data format.

y() - Method in class org.tensorflow.op.core.DeepCopy

y: A `Tensor` of type `T`.

y() - Method in class org.tensorflow.op.core.Digamma

y() - Method in class org.tensorflow.op.core.Erf

y() - Method in class org.tensorflow.op.core.Erfc

y() - Method in class org.tensorflow.op.core.Exp

y() - Method in class org.tensorflow.op.core.Expm1

y() - Method in class org.tensorflow.op.core.Floor

y() - Method in class org.tensorflow.op.core.FusedBatchNorm

A 4D Tensor for output data.

y() - Method in class org.tensorflow.op.core.FusedBatchNormV2

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.Inv

y() - Method in class org.tensorflow.op.core.Invert

y() - Method in class org.tensorflow.op.core.InvertPermutation

1-D.

y() - Method in class org.tensorflow.op.core.IsFinite

y() - Method in class org.tensorflow.op.core.IsInf

y() - Method in class org.tensorflow.op.core.IsNan

y() - Method in class org.tensorflow.op.core.Lgamma

y() - Method in class org.tensorflow.op.core.Log

y() - Method in class org.tensorflow.op.core.Log1p

y() - Method in class org.tensorflow.op.core.LogicalNot

y() - Method in class org.tensorflow.op.core.Neg

y() - Method in class org.tensorflow.op.core.Negate

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.PopulationCount

y() - Method in class org.tensorflow.op.core.QuantizedInstanceNorm

A 4D Tensor.

y() - Method in class org.tensorflow.op.core.Reciprocal

y() - Method in class org.tensorflow.op.core.Rint

y() - Method in class org.tensorflow.op.core.Round

y() - Method in class org.tensorflow.op.core.Rsqrt

y() - Method in class org.tensorflow.op.core.Sigmoid

y() - Method in class org.tensorflow.op.core.Sign

y() - Method in class org.tensorflow.op.core.Sin

y() - Method in class org.tensorflow.op.core.Sinh

y() - Method in class org.tensorflow.op.core.Sqrt

y() - Method in class org.tensorflow.op.core.Square

y() - Method in class org.tensorflow.op.core.Tan

y() - Method in class org.tensorflow.op.core.Tanh

y() - Method in class org.tensorflow.op.core.Transpose

y() - Method in class org.tensorflow.op.core.Unique

1-D.

y() - Method in class org.tensorflow.op.core.UniqueV2

A `Tensor`.

y() - Method in class org.tensorflow.op.core.UniqueWithCounts

1-D.

y() - Method in class org.tensorflow.op.core.UniqueWithCountsV2

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.

yDensity(Long) - Method in class org.tensorflow.op.core.EncodeJpeg.Options

yDensity(Long) - Static method in class org.tensorflow.op.core.EncodeJpeg

yMax() - Method in class org.tensorflow.op.core.QuantizedInstanceNorm

The value represented by the highest quantized output.

yMin() - Method in class org.tensorflow.op.core.QuantizedInstanceNorm

The value represented by the lowest quantized output.

Z

z() - Method in class org.tensorflow.op.core.Add

z() - Method in class org.tensorflow.op.core.AddV2

z() - Method in class org.tensorflow.op.core.ApproximateEqual

z() - Method in class org.tensorflow.op.core.Atan2

z() - Method in class org.tensorflow.op.core.Betainc

z() - Method in class org.tensorflow.op.core.BitwiseAnd

z() - Method in class org.tensorflow.op.core.BitwiseOr

z() - Method in class org.tensorflow.op.core.BitwiseXor

z() - Method in class org.tensorflow.op.core.Div

z() - Method in class org.tensorflow.op.core.Equal

z() - Method in class org.tensorflow.op.core.FloorDiv

z() - Method in class org.tensorflow.op.core.FloorMod

z() - Method in class org.tensorflow.op.core.Greater

z() - Method in class org.tensorflow.op.core.GreaterEqual

z() - Method in class org.tensorflow.op.core.Igamma

z() - Method in class org.tensorflow.op.core.Igammac

z() - Method in class org.tensorflow.op.core.IgammaGradA

z() - Method in class org.tensorflow.op.core.InvGrad

z() - Method in class org.tensorflow.op.core.LeftShift

z() - Method in class org.tensorflow.op.core.Less

z() - Method in class org.tensorflow.op.core.LessEqual

z() - Method in class org.tensorflow.op.core.LogicalAnd

z() - Method in class org.tensorflow.op.core.LogicalOr

z() - Method in class org.tensorflow.op.core.Maximum

z() - Method in class org.tensorflow.op.core.Minimum

z() - Method in class org.tensorflow.op.core.Mod

z() - Method in class org.tensorflow.op.core.Mul

z() - Method in class org.tensorflow.op.core.Multiply

z() - Method in class org.tensorflow.op.core.NotEqual

z() - Method in class org.tensorflow.op.core.Polygamma

z() - Method in class org.tensorflow.op.core.Pow

z() - Method in class org.tensorflow.op.core.QuantizedAdd

z() - Method in class org.tensorflow.op.core.QuantizedMul

z() - Method in class org.tensorflow.op.core.RealDiv

z() - Method in class org.tensorflow.op.core.ReciprocalGrad

z() - Method in class org.tensorflow.op.core.RightShift

z() - Method in class org.tensorflow.op.core.RsqrtGrad

z() - Method in class org.tensorflow.op.core.SigmoidGrad

z() - Method in class org.tensorflow.op.core.SqrtGrad

z() - Method in class org.tensorflow.op.core.SquaredDifference

z() - Method in class org.tensorflow.op.core.Sub

z() - Method in class org.tensorflow.op.core.Subtract

z() - Method in class org.tensorflow.op.core.TanhGrad

z() - Method in class org.tensorflow.op.core.TruncateDiv

z() - Method in class org.tensorflow.op.core.TruncateMod

z() - Method in class org.tensorflow.op.core.Zeta

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

Adds an ZerosLike operation to the graph

zeroValue(Class<? extends TFType>) - Static method in class org.tensorflow.types.Types

Returns the zero value of type described by c, or null if the type (e.g., string) is not numeric and therefore has no zero value.

Zeta<T extends Number> - Class in org.tensorflow.op.core

Compute the Hurwitz zeta function \\(\zeta(x, q)\\).

zeta(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops

Adds an Zeta operation to the graph

ZipDataset - Class in org.tensorflow.op.core

Creates a dataset that zips together `input_datasets`.

zipDataset(Iterable<Operand<?>>, List<Class<?>>, List<Shape>) - Method in class org.tensorflow.op.Ops

Adds an ZipDataset operation to the graph

A B C D E F G H I K L M N O P Q R S T U V W X Y Z