Index (TensorFlow API 1.0.0 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Classes and Interfaces|All Packages|Constant Field Values

A

a - Variable in class org.tensorflow.op.linalg.Cross.Inputs: A tensor containing 3-element vectors.
a - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The a input
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
a - Variable in class org.tensorflow.op.math.Betainc.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igamma.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Igammac.Inputs: The a input
a - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The a input
a - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The a input
a - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The a input
abort(Abort.Options...) - Method in class org.tensorflow.op.Ops: Raise a exception to abort the process when called.
Abort - Class in org.tensorflow.op.core: Raise a exception to abort the process when called.
Abort(Operation) - Constructor for class org.tensorflow.op.core.Abort
Abort.Inputs - Class in org.tensorflow.op.core
Abort.Options - Class in org.tensorflow.op.core: Optional attributes for Abort
abs(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the absolute value of a tensor.
Abs<T extends TNumber> - Class in org.tensorflow.op.math: Computes the absolute value of a tensor.
Abs(Operation) - Constructor for class org.tensorflow.op.math.Abs
Abs.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
AbstractGradientAdapter - Class in org.tensorflow: Helper base class for custom gradient adapters INTERNAL USE ONLY
AbstractGradientAdapter() - Constructor for class org.tensorflow.AbstractGradientAdapter
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: The minimum required fraction of lines before a truncated input is accepted.
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the acceptableFraction option.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the acceptableFraction option.
acceptableFraction(Float) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the acceptableFraction option.
acceptableFraction(Float) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the acceptableFraction option.
accum - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
accum - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
accumulateN(Iterable<Operand<T>>, Shape) - Method in class org.tensorflow.op.MathOps: Returns the element-wise sum of a list of tensors.
AccumulateN<T extends TType> - Class in org.tensorflow.op.math: Returns the element-wise sum of a list of tensors.
AccumulateN(Operation) - Constructor for class org.tensorflow.op.math.AccumulateN
AccumulateN.Inputs<T extends TType> - Class in org.tensorflow.op.math
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The accumulator input
accumulator - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The accumulator input
accumulatorApplyGradient(Operand<TString>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.TrainOps: Applies a gradient to a given accumulator.
AccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
AccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient
AccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
accumulatorNumAccumulated(Operand<TString>) - Method in class org.tensorflow.op.TrainOps: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
AccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated
AccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of accumulators used in the Adadelta optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of accumulators used in the Adagrad Momentum optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of accumulators used in the Adagrad optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of accumulators used in the FTRL optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of accumulators used in the MDL Adagrad Light optimization algorithm.
accumulators - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of accumulators used in the proximal Adagrad optimization algorithm.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets accumulators.
accumulators() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets accumulators.
accumulatorSetGlobalStep(Operand<TString>, Operand<TInt64>) - Method in class org.tensorflow.op.TrainOps: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
AccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep
AccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
accumulatorTakeGradient(Operand<TString>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.TrainOps: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
AccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient
AccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
accumUpdate - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: : Should be from a Variable().
accumUpdate - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: : Should be from a Variable().
acos(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes acos of x element-wise.
Acos<T extends TType> - Class in org.tensorflow.op.math: Computes acos of x element-wise.
Acos(Operation) - Constructor for class org.tensorflow.op.math.Acos
Acos.Inputs<T extends TType> - Class in org.tensorflow.op.math
acosh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic cosine of x element-wise.
Acosh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic cosine of x element-wise.
Acosh(Operation) - Constructor for class org.tensorflow.op.math.Acosh
Acosh.Inputs<T extends TType> - Class in org.tensorflow.op.math
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The activationGradients input
activationGradients - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The activationGradients input
activations() - Method in class org.tensorflow.op.math.Softplus: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Elu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.LeakyRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Relu6: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Selu: Gets activations.
activations() - Method in class org.tensorflow.op.nn.Softsign: Gets activations.
activations() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets activations.
activations() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: Gets activations.
adapter(CustomGradient<T>, Class<T>) - Static method in interface org.tensorflow.op.CustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adapter(RawCustomGradient) - Static method in interface org.tensorflow.op.RawCustomGradient: Create an adapter for the custom gradient so that it can be used by native code.
adaptive - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Whether to use Adaptive SDCA for the inner loop.
adaptive(Boolean) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Sets the adaptive option.
adaptive(Boolean) - Method in class org.tensorflow.op.train.SdcaOptimizer.Options: Sets the adaptive option.
add(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise.
Add<T extends TType> - Class in org.tensorflow.op.math: Returns x + y element-wise.
Add(Operation) - Constructor for class org.tensorflow.op.math.Add
Add.Inputs<T extends TType> - Class in org.tensorflow.op.math
addControlInput(Operation) - Method in class org.tensorflow.GraphOperationBuilder
addControlInput(Operation) - Method in interface org.tensorflow.OperationBuilder: Ensure that the operation does not execute before the control operation does.
addGradients(String, Output<?>[], Output<?>[], Output<?>[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
addGradients(Output<?>, Output<?>[]) - Method in class org.tensorflow.Graph: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., dy/dx_1, dy/dx_2...
addInput(Output<?>) - Method in class org.tensorflow.GraphOperationBuilder
addInput(Output<?>) - Method in interface org.tensorflow.OperationBuilder: Add the output of another operation as the next input of the operation being built.
addInputList(Output<?>[]) - Method in class org.tensorflow.GraphOperationBuilder
addInputList(Output<?>[]) - Method in interface org.tensorflow.OperationBuilder: Add the outputs of another operation as the next inputs of the operation being built.
addManySparseToTensorsMap(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddManySparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap - Class in org.tensorflow.op.sparse: Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.
AddManySparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap
AddManySparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddManySparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddManySparseToTensorsMap
addN(Iterable<Operand<T>>) - Method in class org.tensorflow.op.MathOps: Add all input tensors element wise.
AddN<T extends TType> - Class in org.tensorflow.op.math: Add all input tensors element wise.
AddN(Operation) - Constructor for class org.tensorflow.op.math.AddN
AddN.Inputs<T extends TType> - Class in org.tensorflow.op.math
address - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The address input
address - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The address input
address - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The address input
addSparseToTensorsMap(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddSparseToTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap - Class in org.tensorflow.op.sparse: Add a SparseTensor to a SparseTensorsMap return its handle.
AddSparseToTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap
AddSparseToTensorsMap.Inputs - Class in org.tensorflow.op.sparse
AddSparseToTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for AddSparseToTensorsMap
addTarget(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
addTarget(Op) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute op, but not return any evaluated Tensors.
addTarget(Operation) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() execute operation, but not return any evaluated Tensors.
adjoint - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The adjoint attribute
adjoint - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Boolean indicating whether to solve with matrix or its (block-wise) adjoint.
adjoint - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether to solve with matrix or its (block-wise) adjoint.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixInverse.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Inv: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Inv.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.Solve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.Solve.Options: Sets the adjoint option.
adjoint(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the adjoint option.
adjoint(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the adjoint option.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether a should be conjugate-transposed.
adjointA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether a should be conjugate-transposed.
adjointA - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of A in the matrix multiply.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointA option.
adjointA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointA option.
adjointA(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointA option.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether b should be conjugate-transposed.
adjointB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether b should be conjugate-transposed.
adjointB - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: Use the adjoint of B in the matrix multiply.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the adjointB option.
adjointB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Sets the adjointB option.
adjointB(Boolean) - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Options: Sets the adjointB option.
adjustContrast(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the contrast of one or more images.
AdjustContrast<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the contrast of one or more images.
AdjustContrast(Operation) - Constructor for class org.tensorflow.op.image.AdjustContrast
AdjustContrast.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
adjustHue(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the hue of one or more images.
AdjustHue<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the hue of one or more images.
AdjustHue(Operation) - Constructor for class org.tensorflow.op.image.AdjustHue
AdjustHue.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
adjustSaturation(Operand<T>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Adjust the saturation of one or more images.
AdjustSaturation<T extends TNumber> - Class in org.tensorflow.op.image: Adjust the saturation of one or more images.
AdjustSaturation(Operation) - Constructor for class org.tensorflow.op.image.AdjustSaturation
AdjustSaturation.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
adjX - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If True, adjoint the slices of x.
adjX(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjX option.
adjX(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjX option.
adjY - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If True, adjoint the slices of y.
adjY(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the adjY option.
adjY(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the adjY option.
aggregateToTopk - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When true, aggregates approximate results to top-k.
aggregateToTopk(Boolean) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the aggregateToTopk option.
aggregateToTopk(Boolean) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the aggregateToTopk option.
aggregationWeights - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The aggregationWeights input
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors containing per sample -- i.e.
aggregationWeights - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors containing per training example aggregation weights.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 2-D.
aIndices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
aIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The aIsSparse attribute
aIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the aIsSparse option.
aIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the aIsSparse option.
alg - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The RNG algorithm.
alg - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The RNG algorithm (shape int32[]).
alg - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The RNG algorithm (shape int32[]).
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg: Gets alg.
alg() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets alg.
algorithm - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The algorithm attribute
algorithm - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The algorithm input
algorithm - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The RNG algorithm.
algorithm - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The RNG algorithm.
algorithm(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the algorithm option.
algorithm(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the algorithm option.
align - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Some diagonals are shorter than max_diag_len and need to be padded.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixDiagV3.Options: Sets the align option.
align(String) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Sets the align option.
align(String) - Method in class org.tensorflow.op.linalg.MatrixSetDiag.Options: Sets the align option.
alignCorners - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
alignCorners - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: If true, the centers of the 4 corner pixels of the input and grad tensors are aligned.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeArea: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeArea.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the alignCorners option.
alignCorners(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the alignCorners option.
alignCorners(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the alignCorners option.
all(Operand<TBool>, Operand<? extends TNumber>, All.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
All - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
All(Operation) - Constructor for class org.tensorflow.op.core.All
All.Inputs - Class in org.tensorflow.op.core
All.Options - Class in org.tensorflow.op.core: Optional attributes for All
allCandidateSampler(Operand<TInt64>, Long, Long, Boolean, AllCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler
AllCandidateSampler.Inputs - Class in org.tensorflow.op.random
AllCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for AllCandidateSampler
allowedBatchSizes - Variable in class org.tensorflow.op.core.Batch.Inputs: The allowedBatchSizes attribute
allowedBatchSizes - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Optional list of allowed batch sizes.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.Batch: Sets the allowedBatchSizes option.
allowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.Batch.Options: Sets the allowedBatchSizes option.
allowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the allowedBatchSizes option.
allowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the allowedBatchSizes option.
allowedDevices - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: DEPRECATED.
allowedDevices(String...) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices(String...) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
allowedDevices(List<String>) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the allowedDevices option.
allowedDevices(List<String>) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the allowedDevices option.
allowMissingFiles - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: see above.
allowMissingFiles(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Sets the allowMissingFiles option.
allowMissingFiles(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options: Sets the allowMissingFiles option.
allowSmallBatch - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: Allow to return less than num_elements items if barrier is already closed.
allowSmallBatch(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the allowSmallBatch option.
allowSmallBatch(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the allowSmallBatch option.
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The allowSoftPlacement attribute
allowSoftPlacement - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The allowSoftPlacement attribute
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the allowSoftPlacement option.
allowSoftPlacement(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the allowSoftPlacement option.
allToAll(Operand<T>, Operand<TInt32>, Long, Long, Long) - Method in class org.tensorflow.op.TpuOps: An Op to exchange data across TPU replicas.
AllToAll<T extends TType> - Class in org.tensorflow.op.tpu: An Op to exchange data across TPU replicas.
AllToAll(Operation) - Constructor for class org.tensorflow.op.tpu.AllToAll
AllToAll.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
alpha - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The alpha attribute
alpha - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
alpha - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The alpha attribute
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: A scale factor, usually positive.
alpha - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A scale factor, usually positive.
alpha - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A tensor in which each scalar is a "shape" parameter describing the associated gamma distribution.
alpha - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The alpha input
alpha - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The concentration of the gamma distribution.
alpha - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Scaling factor.
alpha - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Scaling factor.
alpha(Float) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.data.LeakyReluGrad.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LeakyRelu: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LeakyRelu.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the alpha option.
alpha(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the alpha option.
alpha(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the alpha option.
ancestors - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of names of HostCompute computations that must be sequenced before this computation.
anchors - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_anchors, 4] describing the anchor boxes.
angle(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
angle(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the argument of a complex number.
Angle - Class in org.tensorflow.op.math: Returns the argument of a complex number.
Angle(Operation) - Constructor for class org.tensorflow.op.math.Angle
Angle.Inputs - Class in org.tensorflow.op.math
anonymousHashTable(Class<T>, Class) - Method in class org.tensorflow.op.Ops: Creates a uninitialized anonymous hash table.
AnonymousHashTable - Class in org.tensorflow.op.core: Creates a uninitialized anonymous hash table.
AnonymousHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable
AnonymousHashTable.Inputs - Class in org.tensorflow.op.core
anonymousIterator(List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
AnonymousIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
AnonymousIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousIterator
AnonymousIterator.Inputs - Class in org.tensorflow.op.data
anonymousMemoryCache() - Method in class org.tensorflow.op.DataOps: The AnonymousMemoryCache operation
AnonymousMemoryCache - Class in org.tensorflow.op.data: The AnonymousMemoryCache operation
AnonymousMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache
AnonymousMemoryCache.Inputs - Class in org.tensorflow.op.data
anonymousMultiDeviceIterator(List<String>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A container for a multi device iterator resource.
AnonymousMultiDeviceIterator - Class in org.tensorflow.op.data: A container for a multi device iterator resource.
AnonymousMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator
AnonymousMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
anonymousMutableDenseHashTable(Operand<T>, Operand<T>, Class, AnonymousMutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table that uses tensors as the backing store.
AnonymousMutableDenseHashTable - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table that uses tensors as the backing store.
AnonymousMutableDenseHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableDenseHashTable
AnonymousMutableDenseHashTable.Inputs<T extends TType> - Class in org.tensorflow.op.core
AnonymousMutableDenseHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for AnonymousMutableDenseHashTable
anonymousMutableHashTable(Class<T>, Class) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table.
AnonymousMutableHashTable - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table.
AnonymousMutableHashTable(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTable
AnonymousMutableHashTable.Inputs - Class in org.tensorflow.op.core
anonymousMutableHashTableOfTensors(Class<T>, Class, AnonymousMutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty anonymous mutable hash table of vector values.
AnonymousMutableHashTableOfTensors - Class in org.tensorflow.op.core: Creates an empty anonymous mutable hash table of vector values.
AnonymousMutableHashTableOfTensors(Operation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors
AnonymousMutableHashTableOfTensors.Inputs - Class in org.tensorflow.op.core
AnonymousMutableHashTableOfTensors.Options - Class in org.tensorflow.op.core: Optional attributes for AnonymousMutableHashTableOfTensors
anonymousRandomSeedGenerator(Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.RandomOps: The AnonymousRandomSeedGenerator operation
AnonymousRandomSeedGenerator - Class in org.tensorflow.op.random: The AnonymousRandomSeedGenerator operation
AnonymousRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator
AnonymousRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
anonymousSeedGenerator(Operand<TInt64>, Operand<TInt64>, Operand<TBool>) - Method in class org.tensorflow.op.RandomOps: The AnonymousSeedGenerator operation
AnonymousSeedGenerator - Class in org.tensorflow.op.random: The AnonymousSeedGenerator operation
AnonymousSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator
AnonymousSeedGenerator.Inputs - Class in org.tensorflow.op.random
anotherDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The anotherDataset input
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The antialias attribute
antialias - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The antialias attribute
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the antialias option.
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the antialias option.
antialias(Boolean) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the antialias option.
antialias(Boolean) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the antialias option.
any(Operand<TBool>, Operand<? extends TNumber>, Any.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
Any - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
Any(Operation) - Constructor for class org.tensorflow.op.core.Any
Any.Inputs - Class in org.tensorflow.op.core
Any.Options - Class in org.tensorflow.op.core: Optional attributes for Any
append(Shape<TInt32>, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Shape<TInt64>, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Shape<TInt32>, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Shape<TInt64>, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions of a shape followed by the last dimension.
append(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
append(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of the operand representing a shape, followed by the dimensions of an operand representing a shape to append.
apply(Graph, TFJ_Scope, GraphOperation, List<Output<?>>) - Method in class org.tensorflow.AbstractGradientAdapter
apply(OperationBuilder) - Method in class org.tensorflow.op.NativeScope
apply(OperationBuilder) - Method in class org.tensorflow.op.OpScope
apply(OperationBuilder) - Method in interface org.tensorflow.op.Scope: Applies device specification and adds each Operand in controlDependencies as a control input to the provided builder.
applyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ApplyAdadelta<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme.
ApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta
ApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdadelta
applyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ApplyAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad
ApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagrad
applyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa
ApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradDa
applyAdagradV2(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagradV2.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ApplyAdagradV2<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2
ApplyAdagradV2.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdagradV2
applyAdam(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ApplyAdam<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdam
ApplyAdam.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdam
applyAdaMax(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdaMax.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AdaMax algorithm.
ApplyAdaMax<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm.
ApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax
ApplyAdaMax.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAdaMax
applyAddSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyAddSign<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyAddSign
ApplyAddSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyAddSign
applyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp
ApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyCenteredRmsProp
applyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ApplyFtrl<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme.
ApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ApplyFtrl
ApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyFtrl
applyGradientDescent(Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent
ApplyGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyGradientDescent
applyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ApplyMomentum<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ApplyMomentum
ApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyMomentum
applyPowerSign(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ApplyPowerSign<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign
ApplyPowerSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyPowerSign
applyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ApplyProximalAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad
ApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalAdagrad
applyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ApplyProximalGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate.
ApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent
ApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyProximalGradientDescent
applyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp
ApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ApplyRmsProp
approximateEqual(Operand<T>, Operand<T>, ApproximateEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual - Class in org.tensorflow.op.math: Returns the truth value of abs(x-y) < tolerance element-wise.
ApproximateEqual(Operation) - Constructor for class org.tensorflow.op.math.ApproximateEqual
ApproximateEqual.Inputs<T extends TType> - Class in org.tensorflow.op.math
ApproximateEqual.Options - Class in org.tensorflow.op.math: Optional attributes for ApproximateEqual
approxTopK(Operand<T>, Long, ApproxTopK.Options...) - Method in class org.tensorflow.op.Ops: Returns min/max k values and their indices of the input operand in an approximate manner.
ApproxTopK<T extends TNumber> - Class in org.tensorflow.op.core: Returns min/max k values and their indices of the input operand in an approximate manner.
ApproxTopK(Operation) - Constructor for class org.tensorflow.op.core.ApproxTopK
ApproxTopK.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ApproxTopK.Options - Class in org.tensorflow.op.core: Optional attributes for ApproxTopK
areaRange - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain a fraction of the supplied image within this range.
areaRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the areaRange option.
areaRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the areaRange option.
areaRange(List<Float>) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the areaRange option.
areaRange(List<Float>) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the areaRange option.
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The indices of the maximum values chosen for each output of max_pool.
argmax() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets argmax.
argMax(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
argMax(Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns the index with the largest value across dimensions of a tensor.
ArgMax<V extends TNumber> - Class in org.tensorflow.op.math: Returns the index with the largest value across dimensions of a tensor.
ArgMax(Operation) - Constructor for class org.tensorflow.op.math.ArgMax
ArgMax.Inputs - Class in org.tensorflow.op.math
argMin(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
argMin(Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns the index with the smallest value across dimensions of a tensor.
ArgMin<V extends TNumber> - Class in org.tensorflow.op.math: Returns the index with the smallest value across dimensions of a tensor.
ArgMin(Operation) - Constructor for class org.tensorflow.op.math.ArgMin
ArgMin.Inputs - Class in org.tensorflow.op.math
args - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A list of arguments for the function.
args - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input tensors.
args - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The args input
args - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The arguments to the function.
arguments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Targuments`, corresponding to the inputs the function should be mapped over.
arr - Variable in class org.tensorflow.op.math.Bincount.Inputs: int32 Tensor.
array(boolean...) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements.
array(byte...) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements.
array(double...) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements.
array(float...) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements.
array(int...) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements.
array(long...) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements.
array(String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the default UTF-8 charset.
array(Charset, String...) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
arrayOf(Scope, boolean...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements.
arrayOf(Scope, byte...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements.
arrayOf(Scope, double...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements.
arrayOf(Scope, float...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements.
arrayOf(Scope, int...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements.
arrayOf(Scope, long...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements.
arrayOf(Scope, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the default UTF-8 charset.
arrayOf(Scope, Charset, String...) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
asBytes() - Method in interface org.tensorflow.types.TString
aShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aShape - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
asin(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse sine of x element-wise.
Asin<T extends TType> - Class in org.tensorflow.op.math: Computes the trignometric inverse sine of x element-wise.
Asin(Operation) - Constructor for class org.tensorflow.op.math.Asin
Asin.Inputs<T extends TType> - Class in org.tensorflow.op.math
asinh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic sine of x element-wise.
Asinh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic sine of x element-wise.
Asinh(Operation) - Constructor for class org.tensorflow.op.math.Asinh
Asinh.Inputs<T extends TType> - Class in org.tensorflow.op.math
asOutput() - Method in class org.tensorflow.op.audio.AudioSpectrogram
asOutput() - Method in class org.tensorflow.op.audio.EncodeWav
asOutput() - Method in class org.tensorflow.op.audio.Mfcc
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseAnd
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseOr
asOutput() - Method in class org.tensorflow.op.bitwise.BitwiseXor
asOutput() - Method in class org.tensorflow.op.bitwise.Invert
asOutput() - Method in class org.tensorflow.op.bitwise.LeftShift
asOutput() - Method in class org.tensorflow.op.bitwise.RightShift
asOutput() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization
asOutput() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
asOutput() - Method in class org.tensorflow.op.collective.CollectiveAllToAll
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv
asOutput() - Method in class org.tensorflow.op.collective.CollectiveBcastSend
asOutput() - Method in class org.tensorflow.op.collective.CollectiveGather
asOutput() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator
asOutput() - Method in class org.tensorflow.op.collective.CollectivePermute
asOutput() - Method in class org.tensorflow.op.collective.CollectiveReduce
asOutput() - Method in class org.tensorflow.op.collective.CollectiveReduceScatter
asOutput() - Method in class org.tensorflow.op.core.All
asOutput() - Method in class org.tensorflow.op.core.AnonymousHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableHashTable
asOutput() - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors
asOutput() - Method in class org.tensorflow.op.core.Any
asOutput() - Method in class org.tensorflow.op.core.Assign
asOutput() - Method in class org.tensorflow.op.core.AssignAdd
asOutput() - Method in class org.tensorflow.op.core.AssignSub
asOutput() - Method in class org.tensorflow.op.core.Barrier
asOutput() - Method in class org.tensorflow.op.core.BarrierIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.BarrierReadySize
asOutput() - Method in class org.tensorflow.op.core.BatchToSpace
asOutput() - Method in class org.tensorflow.op.core.BatchToSpaceNd
asOutput() - Method in class org.tensorflow.op.core.Bitcast
asOutput() - Method in class org.tensorflow.op.core.BroadcastDynamicShape
asOutput() - Method in class org.tensorflow.op.core.BroadcastTo
asOutput() - Method in class org.tensorflow.op.core.Bucketize
asOutput() - Method in class org.tensorflow.op.core.ClipByValue
asOutput() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents
asOutput() - Method in class org.tensorflow.op.core.Concat
asOutput() - Method in class org.tensorflow.op.core.Constant
asOutput() - Method in class org.tensorflow.op.core.Copy
asOutput() - Method in class org.tensorflow.op.core.CopyHost
asOutput() - Method in class org.tensorflow.op.core.CopyToMesh
asOutput() - Method in class org.tensorflow.op.core.CopyToMeshGrad
asOutput() - Method in class org.tensorflow.op.core.CountUpTo
asOutput() - Method in class org.tensorflow.op.core.DeepCopy
asOutput() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.DeviceIndex
asOutput() - Method in class org.tensorflow.op.core.DummyMemoryCache
asOutput() - Method in class org.tensorflow.op.core.DynamicStitch
asOutput() - Method in class org.tensorflow.op.core.EditDistance
asOutput() - Method in class org.tensorflow.op.core.Empty
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorList
asOutput() - Method in class org.tensorflow.op.core.EmptyTensorMap
asOutput() - Method in class org.tensorflow.op.core.EncodeProto
asOutput() - Method in class org.tensorflow.op.core.EnsureShape
asOutput() - Method in class org.tensorflow.op.core.Enter
asOutput() - Method in class org.tensorflow.op.core.Exit
asOutput() - Method in class org.tensorflow.op.core.ExpandDims
asOutput() - Method in class org.tensorflow.op.core.ExtractVolumePatches
asOutput() - Method in class org.tensorflow.op.core.FakeParam
asOutput() - Method in class org.tensorflow.op.core.Fill
asOutput() - Method in class org.tensorflow.op.core.Fingerprint
asOutput() - Method in class org.tensorflow.op.core.Gather
asOutput() - Method in class org.tensorflow.op.core.GatherNd
asOutput() - Method in class org.tensorflow.op.core.GetOptions
asOutput() - Method in class org.tensorflow.op.core.GetSessionHandle
asOutput() - Method in class org.tensorflow.op.core.GetSessionTensor
asOutput() - Method in class org.tensorflow.op.core.GuaranteeConst
asOutput() - Method in class org.tensorflow.op.core.HashTable
asOutput() - Method in class org.tensorflow.op.core.HistogramFixedWidth
asOutput() - Method in class org.tensorflow.op.core.HostConst
asOutput() - Method in class org.tensorflow.op.core.Identity
asOutput() - Method in class org.tensorflow.op.core.ImmutableConst
asOutput() - Method in class org.tensorflow.op.core.InplaceAdd
asOutput() - Method in class org.tensorflow.op.core.InplaceSub
asOutput() - Method in class org.tensorflow.op.core.InplaceUpdate
asOutput() - Method in class org.tensorflow.op.core.IsVariableInitialized
asOutput() - Method in class org.tensorflow.op.core.KthOrderStatistic
asOutput() - Method in class org.tensorflow.op.core.LinSpace
asOutput() - Method in class org.tensorflow.op.core.LookupTableFind
asOutput() - Method in class org.tensorflow.op.core.LookupTableSize
asOutput() - Method in class org.tensorflow.op.core.LoopCond
asOutput() - Method in class org.tensorflow.op.core.LowerBound
asOutput() - Method in class org.tensorflow.op.core.MakeUnique
asOutput() - Method in class org.tensorflow.op.core.MapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.MapSize
asOutput() - Method in class org.tensorflow.op.core.Max
asOutput() - Method in class org.tensorflow.op.core.Min
asOutput() - Method in class org.tensorflow.op.core.MirrorPad
asOutput() - Method in class org.tensorflow.op.core.MirrorPadGrad
asOutput() - Method in class org.tensorflow.op.core.MutableDenseHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTable
asOutput() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors
asOutput() - Method in class org.tensorflow.op.core.Mutex
asOutput() - Method in class org.tensorflow.op.core.MutexLock
asOutput() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.
asOutput() - Method in class org.tensorflow.op.core.NextIteration
asOutput() - Method in class org.tensorflow.op.core.OneHot
asOutput() - Method in class org.tensorflow.op.core.Ones
asOutput() - Method in class org.tensorflow.op.core.OnesLike
asOutput() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize
asOutput() - Method in class org.tensorflow.op.core.OrderedMapSize
asOutput() - Method in class org.tensorflow.op.core.Pad
asOutput() - Method in class org.tensorflow.op.core.ParallelConcat
asOutput() - Method in class org.tensorflow.op.core.ParallelDynamicStitch
asOutput() - Method in class org.tensorflow.op.core.Placeholder
asOutput() - Method in class org.tensorflow.op.core.PlaceholderWithDefault
asOutput() - Method in class org.tensorflow.op.core.Prod
asOutput() - Method in class org.tensorflow.op.core.RandomIndexShuffle
asOutput() - Method in class org.tensorflow.op.core.Range
asOutput() - Method in class org.tensorflow.op.core.Rank
asOutput() - Method in class org.tensorflow.op.core.ReadVariableOp
asOutput() - Method in class org.tensorflow.op.core.Recv
asOutput() - Method in class org.tensorflow.op.core.ReduceAll
asOutput() - Method in class org.tensorflow.op.core.ReduceAny
asOutput() - Method in class org.tensorflow.op.core.ReduceMax
asOutput() - Method in class org.tensorflow.op.core.ReduceMin
asOutput() - Method in class org.tensorflow.op.core.ReduceProd
asOutput() - Method in class org.tensorflow.op.core.ReduceSum
asOutput() - Method in class org.tensorflow.op.core.RefEnter
asOutput() - Method in class org.tensorflow.op.core.RefExit
asOutput() - Method in class org.tensorflow.op.core.RefIdentity
asOutput() - Method in class org.tensorflow.op.core.RefNextIteration
asOutput() - Method in class org.tensorflow.op.core.RefSelect
asOutput() - Method in class org.tensorflow.op.core.Relayout
asOutput() - Method in class org.tensorflow.op.core.RelayoutLike
asOutput() - Method in class org.tensorflow.op.core.Reshape
asOutput() - Method in class org.tensorflow.op.core.ResourceCountUpTo
asOutput() - Method in class org.tensorflow.op.core.ResourceGather
asOutput() - Method in class org.tensorflow.op.core.ResourceGatherNd
asOutput() - Method in class org.tensorflow.op.core.Reverse
asOutput() - Method in class org.tensorflow.op.core.ReverseSequence
asOutput() - Method in class org.tensorflow.op.core.Roll
asOutput() - Method in class org.tensorflow.op.core.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.ScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.ScatterNdMin
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.Select
asOutput() - Method in class org.tensorflow.op.core.SetSize
asOutput() - Method in class org.tensorflow.op.core.Shape
asOutput() - Method in class org.tensorflow.op.core.Size
asOutput() - Method in class org.tensorflow.op.core.Slice
asOutput() - Method in class org.tensorflow.op.core.Snapshot
asOutput() - Method in class org.tensorflow.op.core.SpaceToBatchNd
asOutput() - Method in class org.tensorflow.op.core.Squeeze
asOutput() - Method in class org.tensorflow.op.core.Stack
asOutput() - Method in class org.tensorflow.op.core.StackCreate
asOutput() - Method in class org.tensorflow.op.core.StackPop
asOutput() - Method in class org.tensorflow.op.core.StackPush
asOutput() - Method in class org.tensorflow.op.core.StageSize
asOutput() - Method in class org.tensorflow.op.core.StochasticCastToInt
asOutput() - Method in class org.tensorflow.op.core.StopGradient
asOutput() - Method in class org.tensorflow.op.core.StridedSlice
asOutput() - Method in class org.tensorflow.op.core.StridedSliceAssign
asOutput() - Method in class org.tensorflow.op.core.StridedSliceGrad
asOutput() - Method in class org.tensorflow.op.core.Sum
asOutput() - Method in class org.tensorflow.op.core.TemporaryVariable
asOutput() - Method in class org.tensorflow.op.core.TensorArrayGather
asOutput() - Method in class org.tensorflow.op.core.TensorArrayPack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayRead
asOutput() - Method in class org.tensorflow.op.core.TensorArrayScatter
asOutput() - Method in class org.tensorflow.op.core.TensorArraySize
asOutput() - Method in class org.tensorflow.op.core.TensorArraySplit
asOutput() - Method in class org.tensorflow.op.core.TensorArrayUnpack
asOutput() - Method in class org.tensorflow.op.core.TensorArrayWrite
asOutput() - Method in class org.tensorflow.op.core.TensorListConcatLists
asOutput() - Method in class org.tensorflow.op.core.TensorListElementShape
asOutput() - Method in class org.tensorflow.op.core.TensorListFromTensor
asOutput() - Method in class org.tensorflow.op.core.TensorListGather
asOutput() - Method in class org.tensorflow.op.core.TensorListGetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListLength
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBack
asOutput() - Method in class org.tensorflow.op.core.TensorListPushBackBatch
asOutput() - Method in class org.tensorflow.op.core.TensorListReserve
asOutput() - Method in class org.tensorflow.op.core.TensorListResize
asOutput() - Method in class org.tensorflow.op.core.TensorListScatter
asOutput() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList
asOutput() - Method in class org.tensorflow.op.core.TensorListSetItem
asOutput() - Method in class org.tensorflow.op.core.TensorListSplit
asOutput() - Method in class org.tensorflow.op.core.TensorListStack
asOutput() - Method in class org.tensorflow.op.core.TensorMapErase
asOutput() - Method in class org.tensorflow.op.core.TensorMapHasKey
asOutput() - Method in class org.tensorflow.op.core.TensorMapInsert
asOutput() - Method in class org.tensorflow.op.core.TensorMapLookup
asOutput() - Method in class org.tensorflow.op.core.TensorMapSize
asOutput() - Method in class org.tensorflow.op.core.TensorMapStackKeys
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdAdd
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMax
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdMin
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdSub
asOutput() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate
asOutput() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate
asOutput() - Method in class org.tensorflow.op.core.Tile
asOutput() - Method in class org.tensorflow.op.core.Timestamp
asOutput() - Method in class org.tensorflow.op.core.Unbatch
asOutput() - Method in class org.tensorflow.op.core.UnbatchGrad
asOutput() - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue
asOutput() - Method in class org.tensorflow.op.core.UnravelIndex
asOutput() - Method in class org.tensorflow.op.core.UpperBound
asOutput() - Method in class org.tensorflow.op.core.VarHandleOp
asOutput() - Method in class org.tensorflow.op.core.Variable
asOutput() - Method in class org.tensorflow.op.core.VariableShape
asOutput() - Method in class org.tensorflow.op.core.VarIsInitializedOp
asOutput() - Method in class org.tensorflow.op.core.Where
asOutput() - Method in class org.tensorflow.op.core.Zeros
asOutput() - Method in class org.tensorflow.op.core.ZerosLike
asOutput() - Method in class org.tensorflow.op.data.AnonymousIterator
asOutput() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator
asOutput() - Method in class org.tensorflow.op.data.AssertCardinalityDataset
asOutput() - Method in class org.tensorflow.op.data.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.AssertPrevDataset
asOutput() - Method in class org.tensorflow.op.data.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.BatchDataset
asOutput() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.CacheDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset
asOutput() - Method in class org.tensorflow.op.data.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.CompressElement
asOutput() - Method in class org.tensorflow.op.data.ConcatenateDataset
asOutput() - Method in class org.tensorflow.op.data.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.DataServiceDataset
asOutput() - Method in class org.tensorflow.op.data.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.DatasetFingerprint
asOutput() - Method in class org.tensorflow.op.data.DatasetFromGraph
asOutput() - Method in class org.tensorflow.op.data.DatasetToGraph
asOutput() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.DummyIterationCounter
asOutput() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.CSVDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality
asOutput() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.LmdbDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MapDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.RebatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.experimental.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset
asOutput() - Method in class org.tensorflow.op.data.FilterDataset
asOutput() - Method in class org.tensorflow.op.data.FinalizeDataset
asOutput() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset
asOutput() - Method in class org.tensorflow.op.data.FlatMapDataset
asOutput() - Method in class org.tensorflow.op.data.GeneratorDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByReducerDataset
asOutput() - Method in class org.tensorflow.op.data.GroupByWindowDataset
asOutput() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset
asOutput() - Method in class org.tensorflow.op.data.InterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.Iterator
asOutput() - Method in class org.tensorflow.op.data.IteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.IteratorGetDevice
asOutput() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional
asOutput() - Method in class org.tensorflow.op.data.IteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.LatencyStatsDataset
asOutput() - Method in class org.tensorflow.op.data.LeakyReluGrad
asOutput() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.ListDataset
asOutput() - Method in class org.tensorflow.op.data.ListSnapshotChunksDataset
asOutput() - Method in class org.tensorflow.op.data.LMDBDataset
asOutput() - Method in class org.tensorflow.op.data.LoadDataset
asOutput() - Method in class org.tensorflow.op.data.MapAndBatchDataset
asOutput() - Method in class org.tensorflow.op.data.MapDataset
asOutput() - Method in class org.tensorflow.op.data.MatchingFilesDataset
asOutput() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset
asOutput() - Method in class org.tensorflow.op.data.ModelDataset
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIterator
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit
asOutput() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
asOutput() - Method in class org.tensorflow.op.data.NonSerializableDataset
asOutput() - Method in class org.tensorflow.op.data.OneShotIterator
asOutput() - Method in class org.tensorflow.op.data.OptimizeDataset
asOutput() - Method in class org.tensorflow.op.data.OptionalFromValue
asOutput() - Method in class org.tensorflow.op.data.OptionalHasValue
asOutput() - Method in class org.tensorflow.op.data.OptionalNone
asOutput() - Method in class org.tensorflow.op.data.OptionsDataset
asOutput() - Method in class org.tensorflow.op.data.PaddedBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelBatchDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelFilterDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset
asOutput() - Method in class org.tensorflow.op.data.ParallelMapDataset
asOutput() - Method in class org.tensorflow.op.data.ParseExampleDataset
asOutput() - Method in class org.tensorflow.op.data.PrefetchDataset
asOutput() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.RandomDataset
asOutput() - Method in class org.tensorflow.op.data.RangeDataset
asOutput() - Method in class org.tensorflow.op.data.RebatchDatasetV2
asOutput() - Method in class org.tensorflow.op.data.RegisterDataset
asOutput() - Method in class org.tensorflow.op.data.RepeatDataset
asOutput() - Method in class org.tensorflow.op.data.RewriteDataset
asOutput() - Method in class org.tensorflow.op.data.SamplingDataset
asOutput() - Method in class org.tensorflow.op.data.SaveDataset
asOutput() - Method in class org.tensorflow.op.data.ScanDataset
asOutput() - Method in class org.tensorflow.op.data.SerializeIterator
asOutput() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset
asOutput() - Method in class org.tensorflow.op.data.ShardDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset
asOutput() - Method in class org.tensorflow.op.data.ShuffleDataset
asOutput() - Method in class org.tensorflow.op.data.SkipDataset
asOutput() - Method in class org.tensorflow.op.data.SleepDataset
asOutput() - Method in class org.tensorflow.op.data.SlidingWindowDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotChunkDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDataset
asOutput() - Method in class org.tensorflow.op.data.SnapshotDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader
asOutput() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.SqlDataset
asOutput() - Method in class org.tensorflow.op.data.StatsAggregatorHandle
asOutput() - Method in class org.tensorflow.op.data.TakeDataset
asOutput() - Method in class org.tensorflow.op.data.TakeWhileDataset
asOutput() - Method in class org.tensorflow.op.data.TensorDataset
asOutput() - Method in class org.tensorflow.op.data.TensorSliceDataset
asOutput() - Method in class org.tensorflow.op.data.TextLineDataset
asOutput() - Method in class org.tensorflow.op.data.TfRecordDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolDataset
asOutput() - Method in class org.tensorflow.op.data.ThreadPoolHandle
asOutput() - Method in class org.tensorflow.op.data.UnbatchDataset
asOutput() - Method in class org.tensorflow.op.data.UniqueDataset
asOutput() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.WindowDataset
asOutput() - Method in class org.tensorflow.op.data.WindowOp
asOutput() - Method in class org.tensorflow.op.data.WrapDatasetVariant
asOutput() - Method in class org.tensorflow.op.data.ZipDataset
asOutput() - Method in class org.tensorflow.op.debugging.CheckNumerics
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugIdentity
asOutput() - Method in class org.tensorflow.op.debugging.DebugNanCount
asOutput() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary
asOutput() - Method in class org.tensorflow.op.distribute.NcclAllReduce
asOutput() - Method in class org.tensorflow.op.distribute.NcclBroadcast
asOutput() - Method in class org.tensorflow.op.distribute.NcclReduce
asOutput() - Method in class org.tensorflow.op.dtypes.AsString
asOutput() - Method in class org.tensorflow.op.dtypes.Cast
asOutput() - Method in class org.tensorflow.op.dtypes.Complex
asOutput() - Method in class org.tensorflow.op.dtypes.ToBool
asOutput() - Method in class org.tensorflow.op.image.AdjustContrast
asOutput() - Method in class org.tensorflow.op.image.AdjustHue
asOutput() - Method in class org.tensorflow.op.image.AdjustSaturation
asOutput() - Method in class org.tensorflow.op.image.CropAndResize
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes
asOutput() - Method in class org.tensorflow.op.image.CropAndResizeGradImage
asOutput() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodeBmp
asOutput() - Method in class org.tensorflow.op.image.DecodeGif
asOutput() - Method in class org.tensorflow.op.image.DecodeImage
asOutput() - Method in class org.tensorflow.op.image.DecodeJpeg
asOutput() - Method in class org.tensorflow.op.image.DecodePng
asOutput() - Method in class org.tensorflow.op.image.DrawBoundingBoxes
asOutput() - Method in class org.tensorflow.op.image.EncodeJpeg
asOutput() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality
asOutput() - Method in class org.tensorflow.op.image.EncodePng
asOutput() - Method in class org.tensorflow.op.image.ExtractGlimpse
asOutput() - Method in class org.tensorflow.op.image.ExtractImagePatches
asOutput() - Method in class org.tensorflow.op.image.ExtractJpegShape
asOutput() - Method in class org.tensorflow.op.image.HsvToRgb
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2
asOutput() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3
asOutput() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
asOutput() - Method in class org.tensorflow.op.image.RandomCrop
asOutput() - Method in class org.tensorflow.op.image.ResizeArea
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubic
asOutput() - Method in class org.tensorflow.op.image.ResizeBicubicGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinear
asOutput() - Method in class org.tensorflow.op.image.ResizeBilinearGrad
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor
asOutput() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad
asOutput() - Method in class org.tensorflow.op.image.RgbToHsv
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslate
asOutput() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad
asOutput() - Method in class org.tensorflow.op.io.DecodeBase64
asOutput() - Method in class org.tensorflow.op.io.DecodeCompressed
asOutput() - Method in class org.tensorflow.op.io.DecodeJsonExample
asOutput() - Method in class org.tensorflow.op.io.DecodePaddedRaw
asOutput() - Method in class org.tensorflow.op.io.DecodeRaw
asOutput() - Method in class org.tensorflow.op.io.EncodeBase64
asOutput() - Method in class org.tensorflow.op.io.FakeQueue
asOutput() - Method in class org.tensorflow.op.io.FifoQueue
asOutput() - Method in class org.tensorflow.op.io.FixedLengthRecordReader
asOutput() - Method in class org.tensorflow.op.io.IdentityReader
asOutput() - Method in class org.tensorflow.op.io.LmdbReader
asOutput() - Method in class org.tensorflow.op.io.MatchingFiles
asOutput() - Method in class org.tensorflow.op.io.PaddingFifoQueue
asOutput() - Method in class org.tensorflow.op.io.ParseTensor
asOutput() - Method in class org.tensorflow.op.io.PriorityQueue
asOutput() - Method in class org.tensorflow.op.io.QueueIsClosed
asOutput() - Method in class org.tensorflow.op.io.QueueSize
asOutput() - Method in class org.tensorflow.op.io.RandomShuffleQueue
asOutput() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced
asOutput() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
asOutput() - Method in class org.tensorflow.op.io.ReaderSerializeState
asOutput() - Method in class org.tensorflow.op.io.ReadFile
asOutput() - Method in class org.tensorflow.op.io.SerializeManySparse
asOutput() - Method in class org.tensorflow.op.io.SerializeSparse
asOutput() - Method in class org.tensorflow.op.io.SerializeTensor
asOutput() - Method in class org.tensorflow.op.io.ShardedFilename
asOutput() - Method in class org.tensorflow.op.io.ShardedFilespec
asOutput() - Method in class org.tensorflow.op.io.TextLineReader
asOutput() - Method in class org.tensorflow.op.io.TfRecordReader
asOutput() - Method in class org.tensorflow.op.io.WholeFileReader
asOutput() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.BandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholesky
asOutput() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.Cholesky
asOutput() - Method in class org.tensorflow.op.linalg.CholeskyGrad
asOutput() - Method in class org.tensorflow.op.linalg.ConjugateTranspose
asOutput() - Method in class org.tensorflow.op.linalg.Cross
asOutput() - Method in class org.tensorflow.op.linalg.Det
asOutput() - Method in class org.tensorflow.op.linalg.Einsum
asOutput() - Method in class org.tensorflow.op.linalg.EuclideanNorm
asOutput() - Method in class org.tensorflow.op.linalg.Inv
asOutput() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix
asOutput() - Method in class org.tensorflow.op.linalg.MatMul
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixDiagV3
asOutput() - Method in class org.tensorflow.op.linalg.MatrixExponential
asOutput() - Method in class org.tensorflow.op.linalg.MatrixLogarithm
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSetDiag
asOutput() - Method in class org.tensorflow.op.linalg.MatrixSolveLs
asOutput() - Method in class org.tensorflow.op.linalg.Solve
asOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
asOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
asOutput() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
asOutput() - Method in class org.tensorflow.op.linalg.Sqrtm
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiag
asOutput() - Method in class org.tensorflow.op.linalg.TensorDiagPart
asOutput() - Method in class org.tensorflow.op.linalg.Transpose
asOutput() - Method in class org.tensorflow.op.linalg.TriangularSolve
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul
asOutput() - Method in class org.tensorflow.op.linalg.TridiagonalSolve
asOutput() - Method in class org.tensorflow.op.math.Abs
asOutput() - Method in class org.tensorflow.op.math.AccumulateN
asOutput() - Method in class org.tensorflow.op.math.Acos
asOutput() - Method in class org.tensorflow.op.math.Acosh
asOutput() - Method in class org.tensorflow.op.math.Add
asOutput() - Method in class org.tensorflow.op.math.AddN
asOutput() - Method in class org.tensorflow.op.math.Angle
asOutput() - Method in class org.tensorflow.op.math.ApproximateEqual
asOutput() - Method in class org.tensorflow.op.math.ArgMax
asOutput() - Method in class org.tensorflow.op.math.ArgMin
asOutput() - Method in class org.tensorflow.op.math.Asin
asOutput() - Method in class org.tensorflow.op.math.Asinh
asOutput() - Method in class org.tensorflow.op.math.Atan
asOutput() - Method in class org.tensorflow.op.math.Atan2
asOutput() - Method in class org.tensorflow.op.math.Atanh
asOutput() - Method in class org.tensorflow.op.math.BesselI0
asOutput() - Method in class org.tensorflow.op.math.BesselI0e
asOutput() - Method in class org.tensorflow.op.math.BesselI1
asOutput() - Method in class org.tensorflow.op.math.BesselI1e
asOutput() - Method in class org.tensorflow.op.math.Betainc
asOutput() - Method in class org.tensorflow.op.math.Bincount
asOutput() - Method in class org.tensorflow.op.math.Ceil
asOutput() - Method in class org.tensorflow.op.math.ComplexAbs
asOutput() - Method in class org.tensorflow.op.math.Conj
asOutput() - Method in class org.tensorflow.op.math.Cos
asOutput() - Method in class org.tensorflow.op.math.Cosh
asOutput() - Method in class org.tensorflow.op.math.Cumprod
asOutput() - Method in class org.tensorflow.op.math.Cumsum
asOutput() - Method in class org.tensorflow.op.math.CumulativeLogsumexp
asOutput() - Method in class org.tensorflow.op.math.DenseBincount
asOutput() - Method in class org.tensorflow.op.math.Digamma
asOutput() - Method in class org.tensorflow.op.math.Div
asOutput() - Method in class org.tensorflow.op.math.DivNoNan
asOutput() - Method in class org.tensorflow.op.math.Equal
asOutput() - Method in class org.tensorflow.op.math.Erf
asOutput() - Method in class org.tensorflow.op.math.Erfc
asOutput() - Method in class org.tensorflow.op.math.erfinv
asOutput() - Method in class org.tensorflow.op.math.Exp
asOutput() - Method in class org.tensorflow.op.math.Expm1
asOutput() - Method in class org.tensorflow.op.math.Fact
asOutput() - Method in class org.tensorflow.op.math.Floor
asOutput() - Method in class org.tensorflow.op.math.FloorDiv
asOutput() - Method in class org.tensorflow.op.math.FloorMod
asOutput() - Method in class org.tensorflow.op.math.Greater
asOutput() - Method in class org.tensorflow.op.math.GreaterEqual
asOutput() - Method in class org.tensorflow.op.math.Igamma
asOutput() - Method in class org.tensorflow.op.math.Igammac
asOutput() - Method in class org.tensorflow.op.math.IgammaGradA
asOutput() - Method in class org.tensorflow.op.math.Imag
asOutput() - Method in class org.tensorflow.op.math.InvertPermutation
asOutput() - Method in class org.tensorflow.op.math.IsFinite
asOutput() - Method in class org.tensorflow.op.math.IsInf
asOutput() - Method in class org.tensorflow.op.math.IsNan
asOutput() - Method in class org.tensorflow.op.math.Less
asOutput() - Method in class org.tensorflow.op.math.LessEqual
asOutput() - Method in class org.tensorflow.op.math.Lgamma
asOutput() - Method in class org.tensorflow.op.math.Log
asOutput() - Method in class org.tensorflow.op.math.Log1p
asOutput() - Method in class org.tensorflow.op.math.LogicalAnd
asOutput() - Method in class org.tensorflow.op.math.LogicalNot
asOutput() - Method in class org.tensorflow.op.math.LogicalOr
asOutput() - Method in class org.tensorflow.op.math.Maximum
asOutput() - Method in class org.tensorflow.op.math.Mean
asOutput() - Method in class org.tensorflow.op.math.Minimum
asOutput() - Method in class org.tensorflow.op.math.Mod
asOutput() - Method in class org.tensorflow.op.math.Mul
asOutput() - Method in class org.tensorflow.op.math.MulNoNan
asOutput() - Method in class org.tensorflow.op.math.Ndtri
asOutput() - Method in class org.tensorflow.op.math.Neg
asOutput() - Method in class org.tensorflow.op.math.NextAfter
asOutput() - Method in class org.tensorflow.op.math.NotEqual
asOutput() - Method in class org.tensorflow.op.math.Polygamma
asOutput() - Method in class org.tensorflow.op.math.PopulationCount
asOutput() - Method in class org.tensorflow.op.math.Pow
asOutput() - Method in class org.tensorflow.op.math.Real
asOutput() - Method in class org.tensorflow.op.math.RealDiv
asOutput() - Method in class org.tensorflow.op.math.Reciprocal
asOutput() - Method in class org.tensorflow.op.math.ReciprocalGrad
asOutput() - Method in class org.tensorflow.op.math.Rint
asOutput() - Method in class org.tensorflow.op.math.Round
asOutput() - Method in class org.tensorflow.op.math.Rsqrt
asOutput() - Method in class org.tensorflow.op.math.RsqrtGrad
asOutput() - Method in class org.tensorflow.op.math.SegmentMax
asOutput() - Method in class org.tensorflow.op.math.SegmentMean
asOutput() - Method in class org.tensorflow.op.math.SegmentMin
asOutput() - Method in class org.tensorflow.op.math.SegmentProd
asOutput() - Method in class org.tensorflow.op.math.SegmentSum
asOutput() - Method in class org.tensorflow.op.math.Sigmoid
asOutput() - Method in class org.tensorflow.op.math.SigmoidGrad
asOutput() - Method in class org.tensorflow.op.math.Sign
asOutput() - Method in class org.tensorflow.op.math.Sin
asOutput() - Method in class org.tensorflow.op.math.Sinh
asOutput() - Method in class org.tensorflow.op.math.SobolSample
asOutput() - Method in class org.tensorflow.op.math.Softplus
asOutput() - Method in class org.tensorflow.op.math.SoftplusGrad
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ0
asOutput() - Method in class org.tensorflow.op.math.special.BesselJ1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0
asOutput() - Method in class org.tensorflow.op.math.special.BesselK0e
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1
asOutput() - Method in class org.tensorflow.op.math.special.BesselK1e
asOutput() - Method in class org.tensorflow.op.math.special.BesselY0
asOutput() - Method in class org.tensorflow.op.math.special.BesselY1
asOutput() - Method in class org.tensorflow.op.math.special.Dawsn
asOutput() - Method in class org.tensorflow.op.math.special.Expint
asOutput() - Method in class org.tensorflow.op.math.special.FresnelCos
asOutput() - Method in class org.tensorflow.op.math.special.FresnelSin
asOutput() - Method in class org.tensorflow.op.math.special.Spence
asOutput() - Method in class org.tensorflow.op.math.Sqrt
asOutput() - Method in class org.tensorflow.op.math.SqrtGrad
asOutput() - Method in class org.tensorflow.op.math.Square
asOutput() - Method in class org.tensorflow.op.math.SquaredDifference
asOutput() - Method in class org.tensorflow.op.math.Sub
asOutput() - Method in class org.tensorflow.op.math.Tan
asOutput() - Method in class org.tensorflow.op.math.Tanh
asOutput() - Method in class org.tensorflow.op.math.TanhGrad
asOutput() - Method in class org.tensorflow.op.math.TruncateDiv
asOutput() - Method in class org.tensorflow.op.math.TruncateMod
asOutput() - Method in class org.tensorflow.op.math.UniformQuantizedAdd
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMax
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentMin
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentProd
asOutput() - Method in class org.tensorflow.op.math.UnsortedSegmentSum
asOutput() - Method in class org.tensorflow.op.math.Xdivy
asOutput() - Method in class org.tensorflow.op.math.Xlog1py
asOutput() - Method in class org.tensorflow.op.math.Xlogy
asOutput() - Method in class org.tensorflow.op.math.Zeta
asOutput() - Method in class org.tensorflow.op.nn.AvgPool
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3d
asOutput() - Method in class org.tensorflow.op.nn.AvgPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.AvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
asOutput() - Method in class org.tensorflow.op.nn.BiasAdd
asOutput() - Method in class org.tensorflow.op.nn.BiasAddGrad
asOutput() - Method in class org.tensorflow.op.nn.Conv
asOutput() - Method in class org.tensorflow.op.nn.Conv2d
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2
asOutput() - Method in class org.tensorflow.op.nn.Conv3d
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
asOutput() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize
asOutput() - Method in class org.tensorflow.op.nn.DataFormatDimMap
asOutput() - Method in class org.tensorflow.op.nn.DataFormatVecPermute
asOutput() - Method in class org.tensorflow.op.nn.DepthToSpace
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Dilation2d
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter
asOutput() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput
asOutput() - Method in class org.tensorflow.op.nn.Elu
asOutput() - Method in class org.tensorflow.op.nn.EluGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.FusedPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d
asOutput() - Method in class org.tensorflow.op.nn.InTopK
asOutput() - Method in class org.tensorflow.op.nn.InvGrad
asOutput() - Method in class org.tensorflow.op.nn.L2Loss
asOutput() - Method in class org.tensorflow.op.nn.LeakyRelu
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalization
asOutput() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad
asOutput() - Method in class org.tensorflow.op.nn.LogSoftmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPool
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3d
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax
asOutput() - Method in class org.tensorflow.op.nn.NthElement
asOutput() - Method in class org.tensorflow.op.nn.Relu
asOutput() - Method in class org.tensorflow.op.nn.Relu6
asOutput() - Method in class org.tensorflow.op.nn.Relu6Grad
asOutput() - Method in class org.tensorflow.op.nn.ReluGrad
asOutput() - Method in class org.tensorflow.op.nn.Selu
asOutput() - Method in class org.tensorflow.op.nn.SeluGrad
asOutput() - Method in class org.tensorflow.op.nn.Softmax
asOutput() - Method in class org.tensorflow.op.nn.Softsign
asOutput() - Method in class org.tensorflow.op.nn.SoftsignGrad
asOutput() - Method in class org.tensorflow.op.nn.SpaceToBatch
asOutput() - Method in class org.tensorflow.op.nn.SpaceToDepth
asOutput() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution
asOutput() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid
asOutput() - Method in class org.tensorflow.op.quantization.Dequantize
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
asOutput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
asOutput() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
asOutput() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformDequantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantize
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantizedDot
asOutput() - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid
asOutput() - Method in class org.tensorflow.op.quantization.UniformRequantize
asOutput() - Method in class org.tensorflow.op.ragged.RaggedBincount
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant
asOutput() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
asOutput() - Method in class org.tensorflow.op.random.DummySeedGenerator
asOutput() - Method in class org.tensorflow.op.random.experimental.StatelessShuffle
asOutput() - Method in class org.tensorflow.op.random.Multinomial
asOutput() - Method in class org.tensorflow.op.random.NonDeterministicInts
asOutput() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.RandomGamma
asOutput() - Method in class org.tensorflow.op.random.RandomGammaGrad
asOutput() - Method in class org.tensorflow.op.random.RandomPoisson
asOutput() - Method in class org.tensorflow.op.random.RandomShuffle
asOutput() - Method in class org.tensorflow.op.random.RandomStandardNormal
asOutput() - Method in class org.tensorflow.op.random.RandomUniform
asOutput() - Method in class org.tensorflow.op.random.RandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.RecordInput
asOutput() - Method in class org.tensorflow.op.random.RngReadAndSkip
asOutput() - Method in class org.tensorflow.op.random.StatefulRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatefulStandardNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatefulUniform
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatefulUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessMultinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomBinomial
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGamma
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomGetAlg
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomPoisson
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniform
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2
asOutput() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal
asOutput() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2
asOutput() - Method in class org.tensorflow.op.random.TruncatedNormal
asOutput() - Method in class org.tensorflow.op.signal.BatchFft
asOutput() - Method in class org.tensorflow.op.signal.BatchFft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchFft3d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft2d
asOutput() - Method in class org.tensorflow.op.signal.BatchIfft3d
asOutput() - Method in class org.tensorflow.op.signal.Fft
asOutput() - Method in class org.tensorflow.op.signal.Fft2d
asOutput() - Method in class org.tensorflow.op.signal.Fft3d
asOutput() - Method in class org.tensorflow.op.signal.FftNd
asOutput() - Method in class org.tensorflow.op.signal.Ifft
asOutput() - Method in class org.tensorflow.op.signal.Ifft2d
asOutput() - Method in class org.tensorflow.op.signal.Ifft3d
asOutput() - Method in class org.tensorflow.op.signal.IfftNd
asOutput() - Method in class org.tensorflow.op.signal.Irfft
asOutput() - Method in class org.tensorflow.op.signal.Irfft2d
asOutput() - Method in class org.tensorflow.op.signal.Irfft3d
asOutput() - Method in class org.tensorflow.op.signal.IrfftNd
asOutput() - Method in class org.tensorflow.op.signal.Rfft
asOutput() - Method in class org.tensorflow.op.signal.Rfft2d
asOutput() - Method in class org.tensorflow.op.signal.Rfft3d
asOutput() - Method in class org.tensorflow.op.signal.RfftNd
asOutput() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap
asOutput() - Method in class org.tensorflow.op.sparse.SparseBincount
asOutput() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv
asOutput() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceMax
asOutput() - Method in class org.tensorflow.op.sparse.SparseReduceSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMean
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSum
asOutput() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
asOutput() - Method in class org.tensorflow.op.sparse.SparseSliceGrad
asOutput() - Method in class org.tensorflow.op.sparse.SparseSoftmax
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd
asOutput() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul
asOutput() - Method in class org.tensorflow.op.sparse.SparseToDense
asOutput() - Method in class org.tensorflow.op.strings.Join
asOutput() - Method in class org.tensorflow.op.strings.Lower
asOutput() - Method in class org.tensorflow.op.strings.ReduceJoin
asOutput() - Method in class org.tensorflow.op.strings.RegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.RegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch
asOutput() - Method in class org.tensorflow.op.strings.StaticRegexReplace
asOutput() - Method in class org.tensorflow.op.strings.StringFormat
asOutput() - Method in class org.tensorflow.op.strings.StringLength
asOutput() - Method in class org.tensorflow.op.strings.Strip
asOutput() - Method in class org.tensorflow.op.strings.Substr
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucket
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketFast
asOutput() - Method in class org.tensorflow.op.strings.ToHashBucketStrong
asOutput() - Method in class org.tensorflow.op.strings.ToNumber
asOutput() - Method in class org.tensorflow.op.strings.UnicodeEncode
asOutput() - Method in class org.tensorflow.op.strings.UnicodeScript
asOutput() - Method in class org.tensorflow.op.strings.UnicodeTranscode
asOutput() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin
asOutput() - Method in class org.tensorflow.op.strings.Upper
asOutput() - Method in class org.tensorflow.op.summary.AudioSummary
asOutput() - Method in class org.tensorflow.op.summary.HistogramSummary
asOutput() - Method in class org.tensorflow.op.summary.ImageSummary
asOutput() - Method in class org.tensorflow.op.summary.MergeSummary
asOutput() - Method in class org.tensorflow.op.summary.ScalarSummary
asOutput() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary
asOutput() - Method in class org.tensorflow.op.summary.SummaryWriter
asOutput() - Method in class org.tensorflow.op.summary.TensorSummary
asOutput() - Method in class org.tensorflow.op.tpu.AllToAll
asOutput() - Method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory
asOutput() - Method in class org.tensorflow.op.tpu.CompilationResult
asOutput() - Method in class org.tensorflow.op.tpu.ComputeDedupDataSize
asOutput() - Method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost
asOutput() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory
asOutput() - Method in class org.tensorflow.op.tpu.CrossReplicaSum
asOutput() - Method in class org.tensorflow.op.tpu.EmbeddingActivations
asOutput() - Method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner
asOutput() - Method in class org.tensorflow.op.tpu.GlobalIterId
asOutput() - Method in class org.tensorflow.op.tpu.InfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
asOutput() - Method in class org.tensorflow.op.tpu.MergeDedupData
asOutput() - Method in class org.tensorflow.op.tpu.OrdinalSelector
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeue
asOutput() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2
asOutput() - Method in class org.tensorflow.op.tpu.PartitionedInput
asOutput() - Method in class org.tensorflow.op.tpu.Prelinearize
asOutput() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple
asOutput() - Method in class org.tensorflow.op.tpu.ReplicatedInput
asOutput() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
asOutput() - Method in class org.tensorflow.op.tpu.ShutdownTPUSystem
asOutput() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TpuHandleToProtoKey
asOutput() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
asOutput() - Method in class org.tensorflow.op.tpu.TPURoundRobin
asOutput() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat
asOutput() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.ApplyAdagradV2
asOutput() - Method in class org.tensorflow.op.train.ApplyAdam
asOutput() - Method in class org.tensorflow.op.train.ApplyAdaMax
asOutput() - Method in class org.tensorflow.op.train.ApplyAddSign
asOutput() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.ApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.ApplyGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.ApplyPowerSign
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.ApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.BatchMatMul
asOutput() - Method in class org.tensorflow.op.train.ComputeBatchSize
asOutput() - Method in class org.tensorflow.op.train.ConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.PreventGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
asOutput() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
asOutput() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator
asOutput() - Method in class org.tensorflow.op.train.RestoreSlice
asOutput() - Method in class org.tensorflow.op.train.SdcaFprint
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdadelta
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa
asOutput() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp
asOutput() - Method in class org.tensorflow.op.train.SparseApplyFtrl
asOutput() - Method in class org.tensorflow.op.train.SparseApplyMomentum
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad
asOutput() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent
asOutput() - Method in class org.tensorflow.op.train.SparseApplyRmsProp
asOutput() - Method in class org.tensorflow.op.train.TileGrad
asOutput() - Method in class org.tensorflow.op.xla.ConcatND
asOutput() - Method in class org.tensorflow.op.xla.XlaRecvFromHost
asOutput() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseCoreSgd
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput
asOutput() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput
asOutput() - Method in interface org.tensorflow.Operand: Returns the symbolic handle of the 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 - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must have an aspect ratio = width / height within this range.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(Float...) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
aspectRatioRange(List<Float>) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the aspectRatioRange option.
aspectRatioRange(List<Float>) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the aspectRatioRange option.
asRawTensor() - Method in class org.tensorflow.RawTensor
asRawTensor() - Method in interface org.tensorflow.SparseTensor
asRawTensor() - Method in interface org.tensorflow.Tensor: Returns a raw (untyped) representation of this tensor
assertCardinalityDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The AssertCardinalityDataset operation
AssertCardinalityDataset - Class in org.tensorflow.op.data: The AssertCardinalityDataset operation
AssertCardinalityDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset
AssertCardinalityDataset.Inputs - Class in org.tensorflow.op.data
assertNextDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalAssertNextDataset operation
assertNextDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A transformation that asserts which transformations happen next.
AssertNextDataset - Class in org.tensorflow.op.data: A transformation that asserts which transformations happen next.
AssertNextDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalAssertNextDataset operation
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertNextDataset
AssertNextDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset
AssertNextDataset.Inputs - Class in org.tensorflow.op.data
AssertNextDataset.Inputs - Class in org.tensorflow.op.data.experimental
assertPrevDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: A transformation that asserts which transformations happened previously.
AssertPrevDataset - Class in org.tensorflow.op.data: A transformation that asserts which transformations happened previously.
AssertPrevDataset(Operation) - Constructor for class org.tensorflow.op.data.AssertPrevDataset
AssertPrevDataset.Inputs - Class in org.tensorflow.op.data
assertThat(Operand<TBool>, Iterable<Operand<?>>, AssertThat.Options...) - Method in class org.tensorflow.op.Ops: Asserts that the given condition is true.
AssertThat - Class in org.tensorflow.op.core: Asserts that the given condition is true.
AssertThat(Operation) - Constructor for class org.tensorflow.op.core.AssertThat
AssertThat.Inputs - Class in org.tensorflow.op.core
AssertThat.Options - Class in org.tensorflow.op.core: Optional attributes for AssertThat
assign(Operand<T>, Operand<T>, Assign.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by assigning 'value' to it.
Assign<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by assigning 'value' to it.
Assign(Operation) - Constructor for class org.tensorflow.op.core.Assign
Assign.Inputs<T extends TType> - Class in org.tensorflow.op.core
Assign.Options - Class in org.tensorflow.op.core: Optional attributes for Assign
assignAdd(Operand<T>, Operand<T>, AssignAdd.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by adding 'value' to it.
AssignAdd<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by adding 'value' to it.
AssignAdd(Operation) - Constructor for class org.tensorflow.op.core.AssignAdd
AssignAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
AssignAdd.Options - Class in org.tensorflow.op.core: Optional attributes for AssignAdd
assignAddVariableOp(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Adds a value to the current value of a variable.
AssignAddVariableOp - Class in org.tensorflow.op.core: Adds a value to the current value of a variable.
AssignAddVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp
AssignAddVariableOp.Inputs - Class in org.tensorflow.op.core
assignSub(Operand<T>, Operand<T>, AssignSub.Options...) - Method in class org.tensorflow.op.Ops: Update 'ref' by subtracting 'value' from it.
AssignSub<T extends TType> - Class in org.tensorflow.op.core: Update 'ref' by subtracting 'value' from it.
AssignSub(Operation) - Constructor for class org.tensorflow.op.core.AssignSub
AssignSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
AssignSub.Options - Class in org.tensorflow.op.core: Optional attributes for AssignSub
assignSubVariableOp(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Subtracts a value from the current value of a variable.
AssignSubVariableOp - Class in org.tensorflow.op.core: Subtracts a value from the current value of a variable.
AssignSubVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp
AssignSubVariableOp.Inputs - Class in org.tensorflow.op.core
assignVariableConcatND(Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Long>, AssignVariableConcatND.Options...) - Method in class org.tensorflow.op.XlaOps: Concats input tensor across all dimensions.
AssignVariableConcatND - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
AssignVariableConcatND(Operation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND
AssignVariableConcatND.Inputs - Class in org.tensorflow.op.xla
AssignVariableConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for AssignVariableConcatND
assignVariableOp(Operand<? extends TType>, Operand<? extends TType>, AssignVariableOp.Options...) - Method in class org.tensorflow.op.Ops: Assigns a new value to a variable.
AssignVariableOp - Class in org.tensorflow.op.core: Assigns a new value to a variable.
AssignVariableOp(Operation) - Constructor for class org.tensorflow.op.core.AssignVariableOp
AssignVariableOp.Inputs - Class in org.tensorflow.op.core
AssignVariableOp.Options - Class in org.tensorflow.op.core: Optional attributes for AssignVariableOp
asString(Operand<? extends TType>, AsString.Options...) - Method in class org.tensorflow.op.DtypesOps: Converts each entry in the given tensor to strings.
AsString - Class in org.tensorflow.op.dtypes: Converts each entry in the given tensor to strings.
AsString(Operation) - Constructor for class org.tensorflow.op.dtypes.AsString
AsString.Inputs - Class in org.tensorflow.op.dtypes
AsString.Options - Class in org.tensorflow.op.dtypes: Optional attributes for AsString
asTensor() - Method in interface org.tensorflow.Operand: Returns the tensor at this operand.
asTensor() - Method in class org.tensorflow.Output: Returns the tensor at this output.
asTypedTensor() - Method in interface org.tensorflow.SparseTensor: Returns this instance as a typed tensor.
async(boolean) - Method in class org.tensorflow.EagerSession.Options: Controls how operations dispatched are actually executed.
atan(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the trignometric inverse tangent of x element-wise.
Atan<T extends TType> - Class in org.tensorflow.op.math: Computes the trignometric inverse tangent of x element-wise.
Atan(Operation) - Constructor for class org.tensorflow.op.math.Atan
Atan.Inputs<T extends TType> - Class in org.tensorflow.op.math
atan2(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2<T extends TNumber> - Class in org.tensorflow.op.math: Computes arctangent of y/x element-wise, respecting signs of the arguments.
Atan2(Operation) - Constructor for class org.tensorflow.op.math.Atan2
Atan2.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
atanh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes inverse hyperbolic tangent of x element-wise.
Atanh<T extends TType> - Class in org.tensorflow.op.math: Computes inverse hyperbolic tangent of x element-wise.
Atanh(Operation) - Constructor for class org.tensorflow.op.math.Atanh
Atanh.Inputs<T extends TType> - Class in org.tensorflow.op.math
attachFunction(ConcreteFunction) - Method in class org.tensorflow.EagerSession
attachFunction(ConcreteFunction) - Method in interface org.tensorflow.ExecutionEnvironment: Attach the function and its dependencies to this execution environment, allowing it to be called.
attachFunction(ConcreteFunction) - Method in class org.tensorflow.Graph
attributeMetadata(String) - Method in class org.tensorflow.op.RawOpInputs: Get the metadata for an attribute
AttributeMetadata - Class in org.tensorflow.op: Metadata of an op's attribute.
AttributeMetadata(boolean, long, int, long) - Constructor for class org.tensorflow.op.AttributeMetadata
AttributeMetadata(TF_AttrMetadata) - Constructor for class org.tensorflow.op.AttributeMetadata
attributeNames() - Method in class org.tensorflow.op.RawOpInputs: Get the names of this op's attributes
attributes() - Method in class org.tensorflow.GraphOperation: Get an inspector for the graph operation's attributes.
attributes() - Method in class org.tensorflow.op.RawOpInputs: Get an inspector for the operation's attributes.
attributeValue(String) - Method in class org.tensorflow.op.RawOpInputs: Get the value of an attribute as an AttrValue proto.
attributeValues() - Method in class org.tensorflow.op.RawOpInputs: Get all attribute value protos
audio - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: 2-D with shape [length, channels].
audio - Variable in class org.tensorflow.op.Ops
audio() - Method in class org.tensorflow.op.audio.DecodeWav: Gets audio.
AudioOps - Class in org.tensorflow.op: An API for building audio operations as Ops
audioSpectrogram(Operand<TFloat32>, Long, Long, AudioSpectrogram.Options...) - Method in class org.tensorflow.op.AudioOps: Produces a visualization of audio data over time.
AudioSpectrogram - Class in org.tensorflow.op.audio: Produces a visualization of audio data over time.
AudioSpectrogram(Operation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram
AudioSpectrogram.Inputs - Class in org.tensorflow.op.audio
AudioSpectrogram.Options - Class in org.tensorflow.op.audio: Optional attributes for AudioSpectrogram
audioSummary(Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, AudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with audio.
AudioSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with audio.
AudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.AudioSummary
AudioSummary.Inputs - Class in org.tensorflow.op.summary
AudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for AudioSummary
autoShardDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that shards the input dataset.
autoShardDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that shards the input dataset.
AutoShardDataset - Class in org.tensorflow.op.data: Creates a dataset that shards the input dataset.
AutoShardDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that shards the input dataset.
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.AutoShardDataset
AutoShardDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset
AutoShardDataset.Inputs - Class in org.tensorflow.op.data
AutoShardDataset.Inputs - Class in org.tensorflow.op.data.experimental
AutoShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for AutoShardDataset
AutoShardDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for AutoShardDataset
autoShardPolicy - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The autoShardPolicy attribute
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Sets the autoShardPolicy option.
autoShardPolicy(Long) - Method in class org.tensorflow.op.data.experimental.AutoShardDataset.Options: Sets the autoShardPolicy option.
autotunerThresh - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The autotunerThresh attribute
autotunerThresh(Long) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Sets the autotunerThresh option.
autotunerThresh(Long) - Method in class org.tensorflow.op.tpu.PartitionedCall.Options: Sets the autotunerThresh option.
auxiliary1 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the first auxiliary optimization parameter to use in embedding training loop updates.
auxiliary1() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary1.
auxiliary2 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary2() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary2.
auxiliary3 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary3() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary3.
auxiliary4 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary4() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary4.
auxiliary5 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary5() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary5.
auxiliary6 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the second auxiliary optimization parameter to use in embedding training loop updates.
auxiliary6() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary6.
auxiliary7 - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial values of the third auxiliary optimization parameter to use in embedding training loop updates.
auxiliary7() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets auxiliary7.
aValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets aValGrad.
aValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: 1-D.
aValues - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 1-D.
average() - Method in class org.tensorflow.op.train.AccumulatorTakeGradient: Gets average.
average() - Method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Gets average.
avgPool(Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs average pooling on the input.
AvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs average pooling on the input.
AvgPool(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool
AvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool
avgPool3d(Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D average pooling on the input.
AvgPool3d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs 3D average pooling on the input.
AvgPool3d(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3d
AvgPool3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3d
avgPool3dGrad(Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of average pooling function.
AvgPool3dGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of average pooling function.
AvgPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad
AvgPool3dGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPool3dGrad
avgPoolGrad(Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the average pooling function.
AvgPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the average pooling function.
AvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad
AvgPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
AvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for AvgPoolGrad
axes - Variable in class org.tensorflow.op.signal.FftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: An int32 tensor with a same shape as fft_length.
axes - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: An int32 tensor with a same shape as fft_length.
axis - Variable in class org.tensorflow.op.core.All.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Any.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Concat.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: 0-D (scalar).
axis - Variable in class org.tensorflow.op.core.Gather.Inputs: The axis in params to gather indices from.
axis - Variable in class org.tensorflow.op.core.Max.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Min.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.OneHot.Inputs: The axis to fill (default: -1, a new inner-most axis).
axis - Variable in class org.tensorflow.op.core.Prod.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Reverse.Inputs: 1-D.
axis - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
axis - Variable in class org.tensorflow.op.core.Split.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.SplitV.Inputs: 0-D.
axis - Variable in class org.tensorflow.op.core.Squeeze.Inputs: If specified, only squeezes the dimensions listed.
axis - Variable in class org.tensorflow.op.core.Stack.Inputs: Dimension along which to pack.
axis - Variable in class org.tensorflow.op.core.Sum.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor of type int32 (default: None).
axis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor of type int32 (default: None).
axis - Variable in class org.tensorflow.op.core.Unstack.Inputs: Dimension along which to unpack.
axis - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor of type int32 (default: 0).
axis - Variable in class org.tensorflow.op.math.Mean.Inputs: The dimensions to reduce.
axis - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The axis attribute
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis.
axis - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The axis attribute
axis(int) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMask: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMask.Options
axis(Integer) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Used to indicate the axis to mask from.
axis(Integer) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
axis(Long) - Static method in class org.tensorflow.op.core.OneHot: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.OneHot.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.core.Stack: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.Stack.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.core.Unstack: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.core.Unstack.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the axis option.
axis(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Sets the axis option.
axis(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Options: Sets the axis option.
axis(Long...) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis(Long...) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.
axis(List<Long>) - Static method in class org.tensorflow.op.core.Squeeze: Sets the axis option.
axis(List<Long>) - Method in class org.tensorflow.op.core.Squeeze.Options: Sets the axis option.

B

b - Variable in class org.tensorflow.op.linalg.Cross.Inputs: Another tensor, of same type and shape as a.
b - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: Must be a two-dimensional tensor.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A matrix to be multiplied and must be a two-dimensional tensor of type qint8.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: A dense tensor.
b - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: A CSRSparseMatrix.
b - Variable in class org.tensorflow.op.math.Betainc.Inputs: The b input
b - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The bias vector.
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The b input
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: ndims-D Tensor.
b - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: 2-D.
backprop - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: 4D backprop Tensor.
backprop() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets backprop.
backprop() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets backprop.
backprops() - Method in class org.tensorflow.op.data.LeakyReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.math.SoftplusGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.EluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.Relu6Grad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.ReluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SeluGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.nn.SoftsignGrad: Gets backprops.
backprops() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Gets backprops.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropsWrtInput.
backpropsWrtInput() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropsWrtInput.
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 1-D with shape [nnz(sum)].
backpropValGrad - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMax.
backpropWrtMax() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMax.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Gets backpropWrtMin.
backpropWrtMin() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Gets backpropWrtMin.
badColor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Color to use for pixels with non-finite values.
badColor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The badColor input
badColor(Tensor) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the badColor option.
badColor(Tensor) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the badColor option.
band() - Method in class org.tensorflow.op.linalg.BandPart: Gets band.
band() - Method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Gets band.
bandedTriangularSolve(Operand<T>, Operand<T>, BandedTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BandedTriangularSolve operation
BandedTriangularSolve<T extends TType> - Class in org.tensorflow.op.linalg: The BandedTriangularSolve operation
BandedTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve
BandedTriangularSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BandedTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BandedTriangularSolve
bandPart(Operand<T>, Operand, Operand) - Method in class org.tensorflow.op.LinalgOps: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart<T extends TType> - Class in org.tensorflow.op.linalg: Copy a tensor setting everything outside a central band in each innermost matrix to zero.
BandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BandPart
BandPart.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.linalg
barrier(List<Class<? extends TType>>, Barrier.Options...) - Method in class org.tensorflow.op.Ops: Defines a barrier that persists across different graph executions.
Barrier - Class in org.tensorflow.op.core: Defines a barrier that persists across different graph executions.
Barrier(Operation) - Constructor for class org.tensorflow.op.core.Barrier
Barrier.Inputs - Class in org.tensorflow.op.core
Barrier.Options - Class in org.tensorflow.op.core: Optional attributes for Barrier
barrierClose(Operand<TString>, BarrierClose.Options...) - Method in class org.tensorflow.op.Ops: Closes the given barrier.
BarrierClose - Class in org.tensorflow.op.core: Closes the given barrier.
BarrierClose(Operation) - Constructor for class org.tensorflow.op.core.BarrierClose
BarrierClose.Inputs - Class in org.tensorflow.op.core
BarrierClose.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierClose
barrierIncompleteSize(Operand<TString>) - Method in class org.tensorflow.op.Ops: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize - Class in org.tensorflow.op.core: Computes the number of incomplete elements in the given barrier.
BarrierIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize
BarrierIncompleteSize.Inputs - Class in org.tensorflow.op.core
barrierInsertMany(Operand<TString>, Operand<TString>, Operand<? extends TType>, Long) - Method in class org.tensorflow.op.Ops: For each key, assigns the respective value to the specified component.
BarrierInsertMany - Class in org.tensorflow.op.core: For each key, assigns the respective value to the specified component.
BarrierInsertMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany
BarrierInsertMany.Inputs - Class in org.tensorflow.op.core
barrierReadySize(Operand<TString>) - Method in class org.tensorflow.op.Ops: Computes the number of complete elements in the given barrier.
BarrierReadySize - Class in org.tensorflow.op.core: Computes the number of complete elements in the given barrier.
BarrierReadySize(Operation) - Constructor for class org.tensorflow.op.core.BarrierReadySize
BarrierReadySize.Inputs - Class in org.tensorflow.op.core
barrierTakeMany(Operand<TString>, Operand<TInt32>, List<Class<? extends TType>>, BarrierTakeMany.Options...) - Method in class org.tensorflow.op.Ops: Takes the given number of completed elements from a barrier.
BarrierTakeMany - Class in org.tensorflow.op.core: Takes the given number of completed elements from a barrier.
BarrierTakeMany(Operation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany
BarrierTakeMany.Inputs - Class in org.tensorflow.op.core
BarrierTakeMany.Options - Class in org.tensorflow.op.core: Optional attributes for BarrierTakeMany
baseKey - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The baseKey input
basename - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The basename input
basename - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The basename input
baseScope() - Method in class org.tensorflow.EagerSession
baseScope() - Method in interface org.tensorflow.ExecutionEnvironment: Get the top level scope for this execution environment.
baseScope() - Method in class org.tensorflow.Graph
batch - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A list of 1D tensors, one for each embedding table, containing the batch inputs encoded as dist_belief.SparseFeatures protos.
batch - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A list of 1D tensors, one for each embedding table, containing the indices into the tables.
batch(Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Method in class org.tensorflow.op.Ops: Batches all input tensors nondeterministically.
Batch - Class in org.tensorflow.op.core: Batches all input tensors nondeterministically.
Batch(Operation) - Constructor for class org.tensorflow.op.core.Batch
Batch.Inputs - Class in org.tensorflow.op.core
Batch.Options - Class in org.tensorflow.op.core: Optional attributes for Batch
batchCholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchCholesky operation
BatchCholesky<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchCholesky operation
BatchCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky
BatchCholesky.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
batchCholeskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchCholeskyGrad operation
BatchCholeskyGrad<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchCholeskyGrad operation
BatchCholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad
BatchCholeskyGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
batchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, BatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches batch_size elements from input_dataset.
BatchDataset(Operation) - Constructor for class org.tensorflow.op.data.BatchDataset
BatchDataset.Inputs - Class in org.tensorflow.op.data
BatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for BatchDataset
batchDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension along which reversal is performed.
batchDim(Long) - Static method in class org.tensorflow.op.core.ReverseSequence: Sets the batchDim option.
batchDim(Long) - Method in class org.tensorflow.op.core.ReverseSequence.Options: Sets the batchDim option.
batchDims - Variable in class org.tensorflow.op.core.Gather.Inputs: The batchDims attribute
batchDims - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The batchDims attribute
batchDims - Variable in class org.tensorflow.op.nn.Conv.Inputs: A positive integer specifying the number of batch dimensions for the input tensor.
batchDims(Long) - Static method in class org.tensorflow.op.core.Gather: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.core.Gather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the batchDims option.
batchDims(Long) - Static method in class org.tensorflow.op.nn.Conv: Sets the batchDims option.
batchDims(Long) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the batchDims option.
batchedGrad() - Method in class org.tensorflow.op.core.UnbatchGrad: Gets batchedGrad.
batchedInput - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A bool denoting whether the input is a batched RaggedTensor.
batchedTensor - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchedTensor input
batchedTensors() - Method in class org.tensorflow.op.core.Batch: Gets batchedTensors.
batchFft(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT operation
BatchFft - Class in org.tensorflow.op.signal: The BatchFFT operation
BatchFft(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft
BatchFft.Inputs - Class in org.tensorflow.op.signal
batchFft2d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT2D operation
BatchFft2d - Class in org.tensorflow.op.signal: The BatchFFT2D operation
BatchFft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft2d
BatchFft2d.Inputs - Class in org.tensorflow.op.signal
batchFft3d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchFFT3D operation
BatchFft3d - Class in org.tensorflow.op.signal: The BatchFFT3D operation
BatchFft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchFft3d
BatchFft3d.Inputs - Class in org.tensorflow.op.signal
batchFunction(Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, Long, Long, Long, List<Class<? extends TType>>, BatchFunction.Options...) - Method in class org.tensorflow.op.Ops: Batches all the inputs tensors to the computation done by the function.
BatchFunction - Class in org.tensorflow.op.core: Batches all the inputs tensors to the computation done by the function.
BatchFunction(Operation) - Constructor for class org.tensorflow.op.core.BatchFunction
BatchFunction.Inputs - Class in org.tensorflow.op.core
BatchFunction.Options - Class in org.tensorflow.op.core: Optional attributes for BatchFunction
batchGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The number of batch groups.
batchGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The number of batch groups.
batchGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the batchGroupCount option.
batchGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the batchGroupCount option.
batchGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the batchGroupCount option.
batchGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the batchGroupCount option.
batchIfft(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT operation
BatchIfft - Class in org.tensorflow.op.signal: The BatchIFFT operation
BatchIfft(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft
BatchIfft.Inputs - Class in org.tensorflow.op.signal
batchIfft2d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT2D operation
BatchIfft2d - Class in org.tensorflow.op.signal: The BatchIFFT2D operation
BatchIfft2d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d
BatchIfft2d.Inputs - Class in org.tensorflow.op.signal
batchIfft3d(Operand<? extends TType>) - Method in class org.tensorflow.op.SignalOps: The BatchIFFT3D operation
BatchIfft3d - Class in org.tensorflow.op.signal: The BatchIFFT3D operation
BatchIfft3d(Operation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d
BatchIfft3d.Inputs - Class in org.tensorflow.op.signal
batchIndex - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The batchIndex input
batchIndex - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The batchIndex input
batchIndex() - Method in class org.tensorflow.op.core.Batch: Gets batchIndex.
batchingQueue - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchingQueue attribute
batchingQueue - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The batchingQueue attribute
batchingQueue(String) - Static method in class org.tensorflow.op.core.Batch: Sets the batchingQueue option.
batchingQueue(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the batchingQueue option.
batchingQueue(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the batchingQueue option.
batchingQueue(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the batchingQueue option.
batchMatMul(Operand<? extends TType>, Operand<? extends TType>, Class<V>, BatchMatMul.Options...) - Method in class org.tensorflow.op.TrainOps: Multiplies slices of two tensors in batches.
BatchMatMul<V extends TType> - Class in org.tensorflow.op.train: Multiplies slices of two tensors in batches.
BatchMatMul(Operation) - Constructor for class org.tensorflow.op.train.BatchMatMul
BatchMatMul.Inputs - Class in org.tensorflow.op.train
BatchMatMul.Options - Class in org.tensorflow.op.train: Optional attributes for BatchMatMul
batchMatrixBandPart(Operand<T>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixBandPart operation
BatchMatrixBandPart<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixBandPart operation
BatchMatrixBandPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart
BatchMatrixBandPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
batchMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDeterminant operation
BatchMatrixDeterminant<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDeterminant operation
BatchMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant
BatchMatrixDeterminant.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
batchMatrixDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiag operation
BatchMatrixDiag<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDiag operation
BatchMatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag
BatchMatrixDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
batchMatrixDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixDiagPart operation
BatchMatrixDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixDiagPart operation
BatchMatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart
BatchMatrixDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
batchMatrixInverse(Operand<T>, BatchMatrixInverse.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixInverse operation
BatchMatrixInverse<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixInverse operation
BatchMatrixInverse(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse
BatchMatrixInverse.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixInverse.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixInverse
batchMatrixSetDiag(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSetDiag operation
BatchMatrixSetDiag<T extends TType> - Class in org.tensorflow.op.linalg: The BatchMatrixSetDiag operation
BatchMatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag
BatchMatrixSetDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
batchMatrixSolve(Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolve operation
BatchMatrixSolve<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixSolve operation
BatchMatrixSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve
BatchMatrixSolve.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolve
batchMatrixSolveLs(Operand<T>, Operand<T>, Operand<TFloat64>, BatchMatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixSolveLs operation
BatchMatrixSolveLs<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixSolveLs operation
BatchMatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs
BatchMatrixSolveLs.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixSolveLs
batchMatrixTriangularSolve(Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchMatrixTriangularSolve operation
BatchMatrixTriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve
BatchMatrixTriangularSolve.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchMatrixTriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchMatrixTriangularSolve
batchMean() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchMean.
batchNormWithGlobalNormalization(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Batch normalization.
BatchNormWithGlobalNormalization<T extends TType> - Class in org.tensorflow.op.nn: Batch normalization.
BatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization
BatchNormWithGlobalNormalization.Inputs<T extends TType> - Class in org.tensorflow.op.nn
batchNormWithGlobalNormalizationGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad<T extends TType> - Class in org.tensorflow.op.nn: Gradients for batch normalization.
BatchNormWithGlobalNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad
BatchNormWithGlobalNormalizationGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
batchSelfAdjointEig(Operand<T>, BatchSelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig<T extends TNumber> - Class in org.tensorflow.op.linalg: The BatchSelfAdjointEigV2 operation
BatchSelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig
BatchSelfAdjointEig.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
BatchSelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSelfAdjointEig
batchSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The size of produced batch.
batchSize - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing the number of elements to accumulate in a batch.
batchSize - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The batchSize input
batchSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The batch size.
batchSize() - Method in class org.tensorflow.op.train.ComputeBatchSize: Gets batchSize.
batchSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the batchSize option.
batchSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the batchSize option.
batchSizes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A vector of integers representing the size of batches to produce.
batchSvd(Operand<T>, BatchSvd.Options...) - Method in class org.tensorflow.op.LinalgOps: The BatchSvd operation
BatchSvd<T extends TType> - Class in org.tensorflow.op.linalg: The BatchSvd operation
BatchSvd(Operation) - Constructor for class org.tensorflow.op.linalg.BatchSvd
BatchSvd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
BatchSvd.Options - Class in org.tensorflow.op.linalg: Optional attributes for BatchSvd
batchTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The batchTimeoutMicros attribute
batchTimeoutMicros - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of microseconds to wait before outputting an incomplete batch.
batchToSpace(Operand<T>, Operand<? extends TNumber>, Long) - Method in class org.tensorflow.op.Ops: BatchToSpace for 4-D tensors of type T.
BatchToSpace<T extends TType> - Class in org.tensorflow.op.core: BatchToSpace for 4-D tensors of type T.
BatchToSpace(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpace
BatchToSpace.Inputs<T extends TType> - Class in org.tensorflow.op.core
batchToSpaceNd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd<T extends TType> - Class in org.tensorflow.op.core: BatchToSpace for N-D tensors of type T.
BatchToSpaceNd(Operation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd
BatchToSpaceNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
batchVariance() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets batchVariance.
bboxDeltas - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, 4 x num_anchors].
bboxes() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets bboxes.
bboxes() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets bboxes.
bC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bC input
bC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bC input
beamWidth - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A scalar >= 0 (beam search beam width).
begin - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.Slice.Inputs: begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
begin - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: begin[k] specifies the offset into the kth range specification.
begin - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The begin input
begin - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The begin input
begin() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets begin.
begin() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets begin.
beginMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where a bit i being 1 means to ignore the begin value and instead use the largest interval possible.
beginMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The beginMask attribute
beginMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The beginMask attribute
beginMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the beginMask option.
beginMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the beginMask option.
beginMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the beginMask option.
benefits - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of benefits used in the MDL Adagrad Light optimization algorithm.
benefits() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets benefits.
besselI0(Operand<T>) - Method in class org.tensorflow.op.MathOps: The BesselI0 operation
BesselI0<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI0 operation
BesselI0(Operation) - Constructor for class org.tensorflow.op.math.BesselI0
BesselI0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
besselI0e(Operand<T>) - Method in class org.tensorflow.op.MathOps: The BesselI0e operation
BesselI0e<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI0e operation
BesselI0e(Operation) - Constructor for class org.tensorflow.op.math.BesselI0e
BesselI0e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
besselI1(Operand<T>) - Method in class org.tensorflow.op.MathOps: The BesselI1 operation
BesselI1<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI1 operation
BesselI1(Operation) - Constructor for class org.tensorflow.op.math.BesselI1
BesselI1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
besselI1e(Operand<T>) - Method in class org.tensorflow.op.MathOps: The BesselI1e operation
BesselI1e<T extends TNumber> - Class in org.tensorflow.op.math: The BesselI1e operation
BesselI1e(Operation) - Constructor for class org.tensorflow.op.math.BesselI1e
BesselI1e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
besselJ0(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselJ0 operation
BesselJ0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselJ0 operation
BesselJ0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ0
BesselJ0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselJ1(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselJ1 operation
BesselJ1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselJ1 operation
BesselJ1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselJ1
BesselJ1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselK0(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK0 operation
BesselK0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK0 operation
BesselK0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0
BesselK0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselK0e(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK0e operation
BesselK0e<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK0e operation
BesselK0e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK0e
BesselK0e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselK1(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK1 operation
BesselK1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK1 operation
BesselK1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1
BesselK1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselK1e(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselK1e operation
BesselK1e<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselK1e operation
BesselK1e(Operation) - Constructor for class org.tensorflow.op.math.special.BesselK1e
BesselK1e.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselY0(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselY0 operation
BesselY0<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselY0 operation
BesselY0(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY0
BesselY0.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
besselY1(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The BesselY1 operation
BesselY1<T extends TNumber> - Class in org.tensorflow.op.math.special: The BesselY1 operation
BesselY1(Operation) - Constructor for class org.tensorflow.op.math.special.BesselY1
BesselY1.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
beta - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: A constant scalar.
beta - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An exponent.
beta - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An exponent.
beta - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D beta Tensor with size matching the last dimension of t.
beta - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
beta - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The beta input
beta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The beta attribute
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the beta option.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the beta option.
beta(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the beta option.
beta(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the beta option.
beta1 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The beta1 input
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The beta1 input
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The beta1 attribute
beta1 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The beta1 attribute
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Must be a scalar.
beta1Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Momentum factor.
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The beta2 input
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The beta2 attribute
beta2 - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The beta2 attribute
beta2Power - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Must be a scalar.
beta2Power - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Must be a scalar.
betainc(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc<T extends TNumber> - Class in org.tensorflow.op.math: Compute the regularized incomplete beta integral \(I_x(a, b)\).
Betainc(Operation) - Constructor for class org.tensorflow.op.math.Betainc
Betainc.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
betaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized offset.
betaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized offset.
bGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets bGrad.
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: A 1D bias tensor with size matching inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: A 1D bias tensor with size matching with inner dimension of b (after being transposed if transposed_b is non-zero).
bias - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: 1-D with size the last dimension of value.
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: An offset (usually positive to avoid dividing by 0).
bias - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: An offset (usually > 0 to avoid dividing by 0).
bias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: A 1D bias Tensor with size matching the last dimension of 'input'.
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original bias tensor.
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The bias input
bias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The bias input
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the bias option.
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the bias option.
bias(Float) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the bias option.
bias(Float) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the bias option.
biasAdd(Operand<T>, Operand<T>, BiasAdd.Options...) - Method in class org.tensorflow.op.NnOps: Adds bias to value.
BiasAdd<T extends TType> - Class in org.tensorflow.op.nn: Adds bias to value.
BiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.BiasAdd
BiasAdd.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BiasAdd.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAdd
biasAddGrad(Operand<T>, BiasAddGrad.Options...) - Method in class org.tensorflow.op.NnOps: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad<T extends TType> - Class in org.tensorflow.op.nn: The backward operation for "BiasAdd" on the "bias" tensor.
BiasAddGrad(Operation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad
BiasAddGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
BiasAddGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for BiasAddGrad
biases - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The biases input
biases() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets biases.
binaryExamples() - Method in class org.tensorflow.op.io.DecodeJsonExample: Gets binaryExamples.
binaryOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: bool; Whether the kernel should count the appearance or number of occurrences.
binaryOutput - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Whether to output the number of occurrences of each value or 1.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.math.DenseBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.math.DenseBincount.Options: Sets the binaryOutput option.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.ragged.RaggedBincount.Options: Sets the binaryOutput option.
binaryOutput(Boolean) - Static method in class org.tensorflow.op.sparse.SparseBincount: Sets the binaryOutput option.
binaryOutput(Boolean) - Method in class org.tensorflow.op.sparse.SparseBincount.Options: Sets the binaryOutput option.
bincount(Operand<TInt32>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
Bincount<T extends TNumber> - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
Bincount(Operation) - Constructor for class org.tensorflow.op.math.Bincount
Bincount.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
bIndices - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_indices for the other operand.
bIndices - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_indices for the other operand.
bins() - Method in class org.tensorflow.op.math.Bincount: Gets bins.
bIsSparse - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The bIsSparse attribute
bIsSparse(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the bIsSparse option.
bIsSparse(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the bIsSparse option.
bitcast(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Bitcasts a tensor from one type to another without copying data.
Bitcast - Class in org.tensorflow.op.core: Bitcasts a tensor from one type to another without copying data.
Bitcast(Operation) - Constructor for class org.tensorflow.op.core.Bitcast
Bitcast.Inputs - Class in org.tensorflow.op.core
bitwise - Variable in class org.tensorflow.op.Ops
bitwiseAnd(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise AND of x and y.
BitwiseAnd<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise AND of x and y.
BitwiseAnd(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd
BitwiseAnd.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
BitwiseOps - Class in org.tensorflow.op: An API for building bitwise operations as Ops
bitwiseOr(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise OR of x and y.
BitwiseOr<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise OR of x and y.
BitwiseOr(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr
BitwiseOr.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
bitwiseXor(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise XOR of x and y.
BitwiseXor<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise XOR of x and y.
BitwiseXor(Operation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor
BitwiseXor.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
blankIndex - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The blankIndex attribute
blankIndex(Long) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the blankIndex option.
blankIndex(Long) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the blankIndex option.
blockLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The blockLength input
blockLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of elements at a time to produce from each interleaved invocation of a dataset returned by f.
blockLSTM(Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, BlockLSTM.Options...) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell forward propagation for all the time steps.
BlockLSTM<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for all the time steps.
BlockLSTM(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTM
BlockLSTM.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
BlockLSTM.Options - Class in org.tensorflow.op.nn: Optional attributes for BlockLSTM
blockLSTMGrad(Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell backward propagation for the entire time sequence.
BlockLSTMGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for the entire time sequence.
BlockLSTMGrad(Operation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad
BlockLSTMGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
blockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 1-D with shape [M], all values must be >= 1.
blockSize - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The size of the spatial block, same as in Space2Depth.
blockSize - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The blockSize attribute
blockSize - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The size of the spatial block.
booleanMask(Operand<T>, Operand<TBool>, BooleanMask.Options...) - Method in class org.tensorflow.op.Ops: Apply boolean mask to tensor.
BooleanMask - Class in org.tensorflow.op.core
BooleanMask() - Constructor for class org.tensorflow.op.core.BooleanMask
BooleanMask.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMask
booleanMaskUpdate(Operand<T>, Operand<TBool>, Operand<T>, BooleanMaskUpdate.Options...) - Method in class org.tensorflow.op.Ops: Updates a tensor at the masked values, and returns the updated tensor.
BooleanMaskUpdate - Class in org.tensorflow.op.core
BooleanMaskUpdate() - Constructor for class org.tensorflow.op.core.BooleanMaskUpdate
BooleanMaskUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for BooleanMaskUpdate
boundaries - Variable in class org.tensorflow.op.core.Bucketize.Inputs: A sorted list of floats gives the boundary of the buckets.
boundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 3-D with shape [batch, N, 4] describing the N bounding boxes associated with the image.
boxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 4-D float tensor of shape [batch_size, num_boxes, q, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 2-D tensor of shape [num_boxes, 4].
boxes - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 3-D with shape [batch, num_bounding_boxes, 4] containing bounding boxes.
boxes - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 2-D float tensor of shape [num_boxes, 4].
boxInd - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
boxInd - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor of shape [num_boxes] with int32 values in [0, batch).
branchIndex - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The branch selector, an int32 Tensor.
branchIndex - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The branch selector, an int32 Tensor.
broadcast(Boolean) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Whether to try broadcasting update.
broadcast(Boolean) - Method in class org.tensorflow.op.core.BooleanMaskUpdate.Options
broadcastDynamicShape(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape<T extends TNumber> - Class in org.tensorflow.op.core: Return the shape of s0 op s1 with broadcast.
BroadcastDynamicShape(Operation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape
BroadcastDynamicShape.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
broadcastGradientArgs(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastGradientArgs<T extends TNumber> - Class in org.tensorflow.op.core: Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastGradientArgs(Operation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs
BroadcastGradientArgs.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
broadcastTo(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Broadcast an array for a compatible shape.
BroadcastTo<T extends TType> - Class in org.tensorflow.op.core: Broadcast an array for a compatible shape.
BroadcastTo(Operation) - Constructor for class org.tensorflow.op.core.BroadcastTo
BroadcastTo.Inputs<T extends TType> - Class in org.tensorflow.op.core
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The bRu input
bRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The bRu input
bShape - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
bShape - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_shape for the other operand; the two shapes must be equal.
bucketize(Operand<? extends TNumber>, List<Float>) - Method in class org.tensorflow.op.Ops: Bucketizes 'input' based on 'boundaries'.
Bucketize - Class in org.tensorflow.op.core: Bucketizes 'input' based on 'boundaries'.
Bucketize(Operation) - Constructor for class org.tensorflow.op.core.Bucketize
Bucketize.Inputs - Class in org.tensorflow.op.core
bufferOutputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The bufferOutputElements input
bufferOutputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The number of elements each iterator being interleaved should buffer (similar to the .prefetch() transformation for each interleaved iterator).
bufferSize - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The maximum number of elements to buffer in an iterator over this dataset.
bufferSize - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The bufferSize input
bufferSize - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing the number of bytes to buffer.
bufferSize - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar representing the number of bytes to buffer.
bufferSizeMin - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The bufferSizeMin attribute
bufferSizeMin(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the bufferSizeMin option.
bufferSizeMin(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the bufferSizeMin option.
build() - Method in class org.tensorflow.DeviceSpec.Builder
build() - Method in class org.tensorflow.EagerSession.Options: Builds an eager session with the selected options.
build() - Method in class org.tensorflow.GraphOperationBuilder: Add the GraphOperation being built to the Graph.
build() - Method in interface org.tensorflow.OperationBuilder: Build the Operation.
build() - Method in class org.tensorflow.Signature.Builder: Returns a signature from the provided data.
builder() - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature
builder(String) - Static method in class org.tensorflow.Signature: Returns a new builder for creating a signature, with the methodName and key set to name
Builder() - Constructor for class org.tensorflow.Signature.Builder
buildSubgraph(Graph, Output<?>[], Output<?>[]) - Method in interface org.tensorflow.Graph.WhileSubgraphBuilder: To be overridden by user with code to build conditional or body subgraph for a while loop
bValGrad() - Method in class org.tensorflow.op.sparse.SparseAddGrad: Gets bValGrad.
bValues - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 1-D.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
bValues - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: counterpart to a_values for the other operand; must be of the same dtype.
byteOffsets - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar or vector containing the number of bytes for each file that will be skipped prior to reading.
bytes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Tensor of serialized protos with shape batch_shape.
bytes - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A Tensor of string which is compressed.
bytes - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: All the elements must have the same length.
bytes() - Method in class org.tensorflow.op.core.EncodeProto: Gets bytes.
byteSize() - Element in annotation type org.tensorflow.types.annotation.TensorType: The number of bytes required one element of a tensor of type, -1 for variable-length element tensors
bytesProducedStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Records the bytes size of each element of input_dataset in a StatsAggregator.
bytesProducedStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset - Class in org.tensorflow.op.data: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset - Class in org.tensorflow.op.data.experimental: Records the bytes size of each element of input_dataset in a StatsAggregator.
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset
BytesProducedStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data
BytesProducedStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental

C

c - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The c input
c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Gets c.
c() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Gets c.
c() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets c.
cache - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The cache input
cacheDataset(Operand<? extends TType>, Operand<TString>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, CacheDataset.Options...) - Method in class org.tensorflow.op.DataOps: The CacheDatasetV2 operation
CacheDataset - Class in org.tensorflow.op.data: The CacheDatasetV2 operation
CacheDataset(Operation) - Constructor for class org.tensorflow.op.data.CacheDataset
CacheDataset.Inputs - Class in org.tensorflow.op.data
CacheDataset.Options - Class in org.tensorflow.op.data: Optional attributes for CacheDataset
call(Map<String, Tensor>) - Method in class org.tensorflow.ConcreteFunction
call(Map<String, Tensor>) - Method in class org.tensorflow.SavedModelBundle: Invokes the default function directly from this model.
call(Map<String, Tensor>) - Method in class org.tensorflow.SessionFunction
call(Map<String, Tensor>) - Method in interface org.tensorflow.TensorFunction: Invokes a function using the default eager session.
call(ConcreteFunction, Map<String, Operand<?>>) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(ConcreteFunction, Operand<?>) - Method in class org.tensorflow.op.Ops: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(TFJ_GraphId, TFJ_Scope, TF_Operation, TF_Output, int, PointerPointer) - Method in class org.tensorflow.AbstractGradientAdapter
call(Ops, Map<String, Operand<?>>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, GraphOperation, List<Output<?>>) - Method in interface org.tensorflow.op.RawCustomGradient: Calculate the gradients for op.
call(Ops, Operand<?>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Ops, T, List<Output<?>>) - Method in interface org.tensorflow.op.CustomGradient: Calculate the gradients for op.
call(Scope, Map<String, Operand<?>>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, ConcreteFunction, Map<String, Operand<?>>) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, ConcreteFunction, Operand<?>) - Static method in class org.tensorflow.op.core.Function: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Scope, Operand<?>) - Method in class org.tensorflow.ConcreteFunction: Calls the function in an execution environment, adding its graph as a function if it isn't already present.
call(Tensor) - Method in interface org.tensorflow.TensorFunction: Invokes a function with a single input and output using the default eager session.
cancelPendingEnqueues - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: If true, all pending enqueue requests that are blocked on the barrier's queue will be canceled.
cancelPendingEnqueues - Variable in class org.tensorflow.op.io.QueueClose.Inputs: If true, all pending enqueue requests that are blocked on the given queue will be canceled.
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.core.BarrierClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.core.BarrierClose.Options: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Static method in class org.tensorflow.op.io.QueueClose: Sets the cancelPendingEnqueues option.
cancelPendingEnqueues(Boolean) - Method in class org.tensorflow.op.io.QueueClose.Options: Sets the cancelPendingEnqueues option.
capacity - Variable in class org.tensorflow.op.core.Barrier.Inputs: The capacity of the barrier.
capacity - Variable in class org.tensorflow.op.core.MapClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapStage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.Stage.Inputs: Maximum number of elements in the Staging Area.
capacity - Variable in class org.tensorflow.op.core.StageClear.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.StageSize.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.core.Unstage.Inputs: The capacity attribute
capacity - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The upper bound on the number of elements in this queue.
capacity - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The upper bound on the number of elements in this queue.
capacity(Long) - Static method in class org.tensorflow.op.core.Barrier: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the capacity option.
capacity(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the capacity option.
capacity(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the capacity option.
capturedInputs - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of tensors whose types are `Tcaptured`, corresponding to the captured inputs of the defun.
capturedTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors which are captured in the function, and don't need to be batched.
cardinality - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The cardinality input
cardinality() - Method in class org.tensorflow.op.data.DatasetCardinality: Gets cardinality.
cardinality() - Method in class org.tensorflow.op.data.experimental.DatasetCardinality: Gets cardinality.
cardinalityOptions - Variable in class org.tensorflow.op.data.DatasetCardinality.Inputs: The cardinalityOptions attribute
cardinalityOptions(String) - Static method in class org.tensorflow.op.data.DatasetCardinality: Sets the cardinalityOptions option.
cardinalityOptions(String) - Method in class org.tensorflow.op.data.DatasetCardinality.Options: Sets the cardinalityOptions option.
Case - Interface in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
Case.Options - Class in org.tensorflow.op.core: Optional attributes for Case
caseOp(Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
cast(Operand<? extends TType>, Class, Cast.Options...) - Method in class org.tensorflow.op.DtypesOps: Cast x of type SrcT to y of DstT.
Cast - Class in org.tensorflow.op.dtypes: Cast x of type SrcT to y of DstT.
Cast(Operation) - Constructor for class org.tensorflow.op.dtypes.Cast
Cast.Inputs - Class in org.tensorflow.op.dtypes
Cast.Options - Class in org.tensorflow.op.dtypes: Optional attributes for Cast
ceil(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise smallest integer not less than x.
Ceil<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise smallest integer not less than x.
Ceil(Operation) - Constructor for class org.tensorflow.op.math.Ceil
Ceil.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
cellClip - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value to clip the 'cs' value to.
cellClip - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value to clip the 'cs' value to.
cellClip(Float) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the cellClip option.
cellClip(Float) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the cellClip option.
cellClip(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the cellClip option.
cellClip(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the cellClip option.
centered - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are centered relative to the image, in which case the (0, 0) offset is relative to the center of the input images.
centered(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the centered option.
centered(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the centered option.
centers - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (m, d).
channels - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: The channels attribute
channels - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Number of color channels for the decoded image.
channels - Variable in class org.tensorflow.op.image.DecodePng.Inputs: Number of color channels for the decoded image.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeBmp: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeBmp.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the channels option.
channels(Long) - Static method in class org.tensorflow.op.image.DecodePng: Sets the channels option.
channels(Long) - Method in class org.tensorflow.op.image.DecodePng.Options: Sets the channels option.
charToByteStarts() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charToByteStarts.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets charValues.
charValues() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets charValues.
checkInput(Op) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in class org.tensorflow.EagerSession
checkInput(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Checks that input is valid to use as an input in this execution environment.
checkInput(Operation) - Method in class org.tensorflow.Graph
checkNumerics(Operand<T>, String) - Method in class org.tensorflow.op.DebuggingOps: Checks a tensor for NaN, -Inf and +Inf values.
CheckNumerics<T extends TNumber> - Class in org.tensorflow.op.debugging: Checks a tensor for NaN, -Inf and +Inf values.
CheckNumerics(Operation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics
CheckNumerics.Inputs<T extends TNumber> - Class in org.tensorflow.op.debugging
checkpointPrefixes - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: prefixes of V2 checkpoints to merge.
cholesky(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the Cholesky decomposition of one or more square matrices.
Cholesky<T extends TType> - Class in org.tensorflow.op.linalg: Computes the Cholesky decomposition of one or more square matrices.
Cholesky(Operation) - Constructor for class org.tensorflow.op.linalg.Cholesky
Cholesky.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
choleskyGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad<T extends TNumber> - Class in org.tensorflow.op.linalg: Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
CholeskyGrad(Operation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad
CholeskyGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
chooseFastestBranchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Iterable<Operand<?>>, Long, List<ConcreteFunction>, List<Long>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset - Class in org.tensorflow.op.data: The ChooseFastestBranchDataset operation
ChooseFastestBranchDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset
ChooseFastestBranchDataset.Inputs - Class in org.tensorflow.op.data
chooseFastestDataset(Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalChooseFastestDataset operation
chooseFastestDataset(Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The ChooseFastestDataset operation
ChooseFastestDataset - Class in org.tensorflow.op.data: The ChooseFastestDataset operation
ChooseFastestDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalChooseFastestDataset operation
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset
ChooseFastestDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data
ChooseFastestDataset.Inputs - Class in org.tensorflow.op.data.experimental
chromaDownsampling - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: See http://en.wikipedia.org/wiki/Chroma_subsampling.
chromaDownsampling(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the chromaDownsampling option.
chromaDownsampling(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the chromaDownsampling option.
chunkFile - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The chunkFile input
ci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell input over the whole time sequence.
ci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell input.
ci() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets ci.
ci() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets ci.
ckptPath - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Path to the TensorFlow checkpoint (version 2, TensorBundle) from which the old matrix Tensor will be loaded.
clearAfterRead - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default), Tensors in the TensorArray are cleared after being read.
clearAfterRead(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the clearAfterRead option.
clearAfterRead(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the clearAfterRead option.
clientTerminated - Variable in class org.tensorflow.op.core.Recv.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated - Variable in class org.tensorflow.op.core.Send.Inputs: If set to true, this indicates that the node was added to the graph as a result of a client-side feed or fetch of Tensor data, in which case the corresponding send or recv is expected to be managed locally by the caller.
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Recv: Sets the clientTerminated option.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Recv.Options: Sets the clientTerminated option.
clientTerminated(Boolean) - Static method in class org.tensorflow.op.core.Send: Sets the clientTerminated option.
clientTerminated(Boolean) - Method in class org.tensorflow.op.core.Send.Options: Sets the clientTerminated option.
clipBoxes - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If true, assume the box coordinates are between [0, 1] and clip the output boxes if they fall beyond [0, 1].
clipBoxes(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the clipBoxes option.
clipBoxes(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the clipBoxes option.
clipByValue(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Clips tensor values to a specified min and max.
ClipByValue<T extends TType> - Class in org.tensorflow.op.core: Clips tensor values to a specified min and max.
ClipByValue(Operation) - Constructor for class org.tensorflow.op.core.ClipByValue
ClipByValue.Inputs<T extends TType> - Class in org.tensorflow.op.core
clipValueMax - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clipValueMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the output that needs to be clipped.
clipValueMin - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A 0-D (scalar) Tensor, or a Tensor with the same shape as t.
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The clipWeightMax attribute
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMax(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Sets the clipWeightMax option.
clipWeightMax(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options: Sets the clipWeightMax option.
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The clipWeightMin attribute
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options: Sets the clipWeightMin option.
clipWeightMin(Float) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Sets the clipWeightMin option.
clipWeightMin(Float) - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options: Sets the clipWeightMin option.
close() - Method in class org.tensorflow.ConcreteFunction
close() - Method in class org.tensorflow.EagerSession
close() - Method in class org.tensorflow.Graph: Release resources associated with the Graph.
close() - Method in class org.tensorflow.RawTensor
close() - Method in class org.tensorflow.Result
close() - Method in class org.tensorflow.SavedModelBundle: Releases resources (the Graph and Session) associated with the saved model bundle.
close() - Method in class org.tensorflow.Server: Destroy an in-process TensorFlow server, frees memory.
close() - Method in class org.tensorflow.Session: Release resources associated with the Session.
close() - Method in interface org.tensorflow.Tensor: Release resources associated with the Tensor.
closeSummaryWriter(Operand<? extends TType>) - Method in class org.tensorflow.op.SummaryOps: The CloseSummaryWriter operation
CloseSummaryWriter - Class in org.tensorflow.op.summary: The CloseSummaryWriter operation
CloseSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter
CloseSummaryWriter.Inputs - Class in org.tensorflow.op.summary
cluster - Variable in class org.tensorflow.op.Ops
ClusterOps - Class in org.tensorflow.op: An API for building cluster operations as Ops
co - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell after the tanh over the whole time sequence.
co - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell after the tanh.
co() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets co.
co() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets co.
colIds - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The colIds input
colIds - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The colIds input
colIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The colIds input
colIds() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets colIds.
colInds() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets colInds.
collateTPUEmbeddingMemory(Iterable<Operand<TString>>) - Method in class org.tensorflow.op.TpuOps: An op that merges the string-encoded memory config protos from all hosts.
CollateTPUEmbeddingMemory - Class in org.tensorflow.op.tpu: An op that merges the string-encoded memory config protos from all hosts.
CollateTPUEmbeddingMemory(Operation) - Constructor for class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory
CollateTPUEmbeddingMemory.Inputs - Class in org.tensorflow.op.tpu
collective - Variable in class org.tensorflow.op.Ops
collectiveAllToAll(Operand<T>, Operand<? extends TType>, Operand<TInt32>, CollectiveAllToAll.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually exchanges multiple tensors of identical type and shape.
CollectiveAllToAll<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually exchanges multiple tensors of identical type and shape.
CollectiveAllToAll(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll
CollectiveAllToAll.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveAllToAll.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveAllToAll
collectiveAssignGroup(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.CollectiveOps: Assign group keys based on group assignment.
CollectiveAssignGroup - Class in org.tensorflow.op.collective: Assign group keys based on group assignment.
CollectiveAssignGroup(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveAssignGroup
CollectiveAssignGroup.Inputs - Class in org.tensorflow.op.collective
collectiveBcastRecv(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<? extends TNumber>, Class, CollectiveBcastRecv.Options...) - Method in class org.tensorflow.op.CollectiveOps: Receives a tensor value broadcast from another device.
CollectiveBcastRecv - Class in org.tensorflow.op.collective: Receives a tensor value broadcast from another device.
CollectiveBcastRecv(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv
CollectiveBcastRecv.Inputs - Class in org.tensorflow.op.collective
CollectiveBcastRecv.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastRecv
collectiveBcastSend(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveBcastSend.Options...) - Method in class org.tensorflow.op.CollectiveOps: Broadcasts a tensor value to one or more other devices.
CollectiveBcastSend<T extends TType> - Class in org.tensorflow.op.collective: Broadcasts a tensor value to one or more other devices.
CollectiveBcastSend(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend
CollectiveBcastSend.Inputs<T extends TType> - Class in org.tensorflow.op.collective
CollectiveBcastSend.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveBcastSend
collectiveGather(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<? extends TType>>, CollectiveGather.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveGather
CollectiveGather.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveGather.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveGather
collectiveInitializeCommunicator(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveInitializeCommunicator.Options...) - Method in class org.tensorflow.op.CollectiveOps: Initializes a group for collective operations.
CollectiveInitializeCommunicator - Class in org.tensorflow.op.collective: Initializes a group for collective operations.
CollectiveInitializeCommunicator(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator
CollectiveInitializeCommunicator.Inputs - Class in org.tensorflow.op.collective
CollectiveInitializeCommunicator.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveInitializeCommunicator
CollectiveOps - Class in org.tensorflow.op: An API for building collective operations as Ops
collectivePermute(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.CollectiveOps: An Op to permute tensors across replicated TPU instances.
CollectivePermute<T extends TType> - Class in org.tensorflow.op.collective: An Op to permute tensors across replicated TPU instances.
CollectivePermute(Operation) - Constructor for class org.tensorflow.op.collective.CollectivePermute
CollectivePermute.Inputs<T extends TType> - Class in org.tensorflow.op.collective
collectiveReduce(Operand<T>, Operand<? extends TType>, Operand<TInt32>, String, CollectiveReduce.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually reduces multiple tensors of identical type and shape.
CollectiveReduce<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually reduces multiple tensors of identical type and shape.
CollectiveReduce(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce
CollectiveReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveReduce.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveReduce
collectiveReduceScatter(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<? extends TType>>, String, String, CollectiveReduceScatter.Options...) - Method in class org.tensorflow.op.CollectiveOps: Mutually reduces multiple tensors of identical type and shape and scatters the result.
CollectiveReduceScatter<T extends TNumber> - Class in org.tensorflow.op.collective: Mutually reduces multiple tensors of identical type and shape and scatters the result.
CollectiveReduceScatter(Operation) - Constructor for class org.tensorflow.op.collective.CollectiveReduceScatter
CollectiveReduceScatter.Inputs<T extends TNumber> - Class in org.tensorflow.op.collective
CollectiveReduceScatter.Options - Class in org.tensorflow.op.collective: Optional attributes for CollectiveReduceScatter
colors - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 2-D.
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: column pooling sequence, form pooling region with row_pooling sequence.
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets colPoolingSequence.
colPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets colPoolingSequence.
colRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of column remappings (generally created by generate_vocab_remapping).
combinedNonMaxSuppression(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, CombinedNonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, This operation performs non_max_suppression on the inputs per batch, across all classes.
CombinedNonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression
CombinedNonMaxSuppression.Inputs - Class in org.tensorflow.op.image
CombinedNonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for CombinedNonMaxSuppression
combiner - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The combiner attribute
combiners - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The combiners attribute
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of string scalars, one for each embedding table that specify how to normalize the embedding activations after weighted summation.
combiners(String...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(String...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners(String...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the combiners option.
combiners(List<String>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the combiners option.
combiners(List<String>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the combiners option.
commonConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output.
commonConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory.Inputs: A string-encoded CommonConfiguration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
commonConfig - Variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs: A string-encoded common configuration proto containing metadata about the TPUEmbedding partitioner output and the HBM size (in bytes) required for operation.
commonConfig() - Method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: Gets commonConfig.
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The communicationHint attribute
communicationHint - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The communicationHint attribute
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the communicationHint option.
communicationHint(String) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the communicationHint option.
communicationHint(String) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the communicationHint option.
communicator - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The communicator input
communicator - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The communicator input
communicator() - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Gets communicator.
compilationFailureClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The compilationFailureClosesChips attribute
compilationFailureClosesChips(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the compilationFailureClosesChips option.
compilationFailureClosesChips(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the compilationFailureClosesChips option.
compilationResult() - Method in class org.tensorflow.op.TpuOps: Returns the result of a TPU compilation.
CompilationResult - Class in org.tensorflow.op.tpu: Returns the result of a TPU compilation.
CompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.CompilationResult
CompilationResult.Inputs - Class in org.tensorflow.op.tpu
compilationStatus - Variable in class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs: The compilationStatus input
compilationStatus() - Method in class org.tensorflow.op.tpu.Compile: Gets compilationStatus.
compile(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Long, ConcreteFunction, String) - Method in class org.tensorflow.op.TpuOps: Compiles a computations for execution on one or more TPU devices.
Compile - Class in org.tensorflow.op.tpu: Compiles a computations for execution on one or more TPU devices.
Compile(Operation) - Constructor for class org.tensorflow.op.tpu.Compile
Compile.Inputs - Class in org.tensorflow.op.tpu
compileSucceededAssert(Operand<TString>) - Method in class org.tensorflow.op.TpuOps: Asserts that compilation succeeded.
CompileSucceededAssert - Class in org.tensorflow.op.tpu: Asserts that compilation succeeded.
CompileSucceededAssert(Operation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert
CompileSucceededAssert.Inputs - Class in org.tensorflow.op.tpu
completeSubgraph(Set<Operand<?>>, Set<Operand<?>>) - Method in class org.tensorflow.Graph: Finds the operations used to produce outputs, assuming inputs are provided.
complex(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.DtypesOps: Converts two real numbers to a complex number.
Complex - Class in org.tensorflow.op.dtypes: Converts two real numbers to a complex number.
Complex(Operation) - Constructor for class org.tensorflow.op.dtypes.Complex
Complex.Inputs<T extends TNumber> - Class in org.tensorflow.op.dtypes
complexAbs(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
complexAbs(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Computes the complex absolute value of a tensor.
ComplexAbs - Class in org.tensorflow.op.math: Computes the complex absolute value of a tensor.
ComplexAbs(Operation) - Constructor for class org.tensorflow.op.math.ComplexAbs
ComplexAbs.Inputs - Class in org.tensorflow.op.math
componentIndex - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The component of the barrier elements that is being assigned.
components - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The component tensors for the extension type value.
components - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The components input
components - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The components input
components - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The components input
components - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The components input
components - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: One or more tensors from which the enqueued tensors should be taken.
components - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: One or more tensors from which the enqueued tensors should be taken.
components() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Gets components.
components() - Method in class org.tensorflow.op.core.GetElementAtIndex: Gets components.
components() - Method in class org.tensorflow.op.data.DatasetToSingleElement: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNext: Gets components.
components() - Method in class org.tensorflow.op.data.IteratorGetNextSync: Gets components.
components() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Gets components.
components() - Method in class org.tensorflow.op.data.OptionalGetValue: Gets components.
components() - Method in class org.tensorflow.op.data.ReduceDataset: Gets components.
components() - Method in class org.tensorflow.op.data.UncompressElement: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeue: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueMany: Gets components.
components() - Method in class org.tensorflow.op.io.QueueDequeueUpTo: Gets components.
componentTypes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The type of each component in a value.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The type of each component in a tuple.
componentTypes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The type of each component in a value.
compositeTensorVariantFromComponents(Iterable<Operand<?>>, String) - Method in class org.tensorflow.op.Ops: Encodes an ExtensionType value into a variant scalar Tensor.
CompositeTensorVariantFromComponents - Class in org.tensorflow.op.core: Encodes an ExtensionType value into a variant scalar Tensor.
CompositeTensorVariantFromComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents
CompositeTensorVariantFromComponents.Inputs - Class in org.tensorflow.op.core
compositeTensorVariantToComponents(Operand<? extends TType>, String, List<Class<? extends TType>>) - Method in class org.tensorflow.op.Ops: Decodes a variant scalar Tensor into an ExtensionType value.
CompositeTensorVariantToComponents - Class in org.tensorflow.op.core: Decodes a variant scalar Tensor into an ExtensionType value.
CompositeTensorVariantToComponents(Operation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents
CompositeTensorVariantToComponents.Inputs - Class in org.tensorflow.op.core
compressed - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The compressed input
compressed() - Method in class org.tensorflow.op.data.CompressElement: Gets compressed.
compressElement(Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps: Compresses a dataset element.
CompressElement - Class in org.tensorflow.op.data: Compresses a dataset element.
CompressElement(Operation) - Constructor for class org.tensorflow.op.data.CompressElement
CompressElement.Inputs - Class in org.tensorflow.op.data
compression - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The type of compression to be applied to the saved snapshot files.
compression - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The compression attribute
compression - Variable in class org.tensorflow.op.image.EncodePng.Inputs: Compression level.
compression(Long) - Static method in class org.tensorflow.op.image.EncodePng: Sets the compression option.
compression(Long) - Method in class org.tensorflow.op.image.EncodePng.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.LoadDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.LoadDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotChunkDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotChunkDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the compression option.
compression(String) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Sets the compression option.
compression(String) - Method in class org.tensorflow.op.data.SnapshotDatasetReader.Options: Sets the compression option.
compressionType - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The compressionType input
compressionType - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.io.DecodeCompressed.Inputs: A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP".
compressionType - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: The compressionType attribute
compressionType - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The type of compression for the file.
compressionType(String) - Static method in class org.tensorflow.op.io.DecodeCompressed: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.io.DecodeCompressed.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the compressionType option.
compressionType(String) - Static method in class org.tensorflow.op.random.RecordInput: Sets the compressionType option.
compressionType(String) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the compressionType option.
computationShape - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: DEPRECATED.
computationShape - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

DEPRECATED.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
computationShape(List<Long>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the computationShape option.
computationShape(List<Long>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the computationShape option.
computationShape(List<Long>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the computationShape option.
computationShape(List<Long>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the computationShape option.
computeAccidentalHits(Operand<TInt64>, Operand<TInt64>, Long, ComputeAccidentalHits.Options...) - Method in class org.tensorflow.op.NnOps: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits - Class in org.tensorflow.op.nn: Computes the ids of the positions in sampled_candidates that match true_labels.
ComputeAccidentalHits(Operation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits
ComputeAccidentalHits.Inputs - Class in org.tensorflow.op.nn
ComputeAccidentalHits.Options - Class in org.tensorflow.op.nn: Optional attributes for ComputeAccidentalHits
computeBatchSize(Operand<? extends TType>) - Method in class org.tensorflow.op.TrainOps: Computes the static batch size of a dataset sans partial batches.
ComputeBatchSize - Class in org.tensorflow.op.train: Computes the static batch size of a dataset sans partial batches.
ComputeBatchSize(Operation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize
ComputeBatchSize.Inputs - Class in org.tensorflow.op.train
computeDedupDataSize(String) - Method in class org.tensorflow.op.TpuOps: An op computes the size of the deduplication data from embedding core and returns the updated config.
ComputeDedupDataSize - Class in org.tensorflow.op.tpu: An op computes the size of the deduplication data from embedding core and returns the updated config.
ComputeDedupDataSize(Operation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataSize
ComputeDedupDataSize.Inputs - Class in org.tensorflow.op.tpu
computeDedupDataTupleMask(String) - Method in class org.tensorflow.op.TpuOps: An op computes tuple mask of deduplication data from embedding core.
ComputeDedupDataTupleMask - Class in org.tensorflow.op.tpu: An op computes tuple mask of deduplication data from embedding core.
ComputeDedupDataTupleMask(Operation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataTupleMask
ComputeDedupDataTupleMask.Inputs - Class in org.tensorflow.op.tpu
computeUv - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The computeUv attribute
computeUv - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, left and right singular vectors will be computed and returned in u and v, respectively.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the computeUv option.
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the computeUv option.
computeUv(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the computeUv option.
computeUv(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the computeUv option.
computeV - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The computeV attribute
computeV - Variable in class org.tensorflow.op.linalg.Eig.Inputs: If True then eigenvectors will be computed and returned in v.
computeV - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: If True then eigenvectors will be computed and returned in v.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.Eig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.Eig.Options: Sets the computeV option.
computeV(Boolean) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Sets the computeV option.
computeV(Boolean) - Method in class org.tensorflow.op.linalg.SelfAdjointEig.Options: Sets the computeV option.
concat(Iterable<Operand<T>>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Concatenates tensors along one dimension.
Concat<T extends TType> - Class in org.tensorflow.op.core: Concatenates tensors along one dimension.
Concat(Operation) - Constructor for class org.tensorflow.op.core.Concat
Concat.Inputs<T extends TType> - Class in org.tensorflow.op.core
concatDim - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The dimension along which to concatenate.
concatDim - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: 0-D.
concatDim - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: Dimension to concatenate along.
concatDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to concatenate.
concatenateDataset(Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcatenateDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset - Class in org.tensorflow.op.data: Creates a dataset that concatenates input_dataset with another_dataset.
ConcatenateDataset(Operation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset
ConcatenateDataset.Inputs - Class in org.tensorflow.op.data
ConcatenateDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ConcatenateDataset
concatND(Iterable<Operand<T>>, List<Long>, ConcatND.Options...) - Method in class org.tensorflow.op.XlaOps: Concats input tensor across all dimensions.
ConcatND<T extends TType> - Class in org.tensorflow.op.xla: Concats input tensor across all dimensions.
ConcatND(Operation) - Constructor for class org.tensorflow.op.xla.ConcatND
ConcatND.Inputs<T extends TType> - Class in org.tensorflow.op.xla
ConcatND.Options - Class in org.tensorflow.op.xla: Optional attributes for ConcatND
concatOffset(Operand<TInt32>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Computes offsets of concat inputs within its output.
ConcatOffset<T extends TNumber> - Class in org.tensorflow.op.core: Computes offsets of concat inputs within its output.
ConcatOffset(Operation) - Constructor for class org.tensorflow.op.core.ConcatOffset
ConcatOffset.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ConcreteFunction - Class in org.tensorflow: A graph that can be invoked as a single function, with an input and output signature.
cond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A Tensor.
cond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A Tensor.
condition - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The condition to evaluate.
condition - Variable in class org.tensorflow.op.core.Select.Inputs: The condition input
condition - Variable in class org.tensorflow.op.core.Where.Inputs: The condition input
conditionalAccumulator(Class<T>, Shape, ConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps: A conditional accumulator for aggregating gradients.
ConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator
ConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ConditionalAccumulator
config - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
config - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: An TPUEmbeddingConfiguration proto serialized to a string, describing the desired TPUEmbedding configuration.
config - Variable in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner.Inputs: An TPUEmbeddingConfiguration proto serialized to a string, describing the desired TPUEmbedding configuration.
config - Variable in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: An TPUEmbeddingConfiguration proto describing the table parameters being loaded, serialized to a string.
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: An TPUEmbeddingConfiguration proto describing the table parameters being loaded, serialized to a string.
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The config attribute
config - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: The config attribute
config - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs: Serialized TPUEmbeddingConfiguration proto.
config - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: Serialized TPUEmbeddingConfiguration proto.
config(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the config option.
config(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the config option.
config(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.MergeDedupData: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.MergeDedupData.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the config option.
config(String) - Static method in class org.tensorflow.op.tpu.SplitDedupData: Sets the config option.
config(String) - Method in class org.tensorflow.op.tpu.SplitDedupData.Options: Sets the config option.
config(ConfigProto) - Method in class org.tensorflow.EagerSession.Options: Configures the session based on the data found in the provided configuration.
configProto - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The configProto attribute
configProto - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The configProto attribute
configProto(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the configProto option.
configProto(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the configProto option.
configProto(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the configProto option.
configProto(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the configProto option.
configureAndInitializeGlobalTPU(ConfigureAndInitializeGlobalTPU.Options...) - Method in class org.tensorflow.op.TpuOps: An op that sets up the centralized structures for a distributed TPU system.
ConfigureAndInitializeGlobalTPU - Class in org.tensorflow.op.tpu: An op that sets up the centralized structures for a distributed TPU system.
ConfigureAndInitializeGlobalTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU
ConfigureAndInitializeGlobalTPU.Inputs - Class in org.tensorflow.op.tpu
ConfigureAndInitializeGlobalTPU.Options - Class in org.tensorflow.op.tpu: Optional attributes for ConfigureAndInitializeGlobalTPU
configureDistributedTPU(ConfigureDistributedTPU.Options...) - Method in class org.tensorflow.op.TpuOps: Sets up the centralized structures for a distributed TPU system.
ConfigureDistributedTPU - Class in org.tensorflow.op.tpu: Sets up the centralized structures for a distributed TPU system.
ConfigureDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU
ConfigureDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
ConfigureDistributedTPU.Options - Class in org.tensorflow.op.tpu: Optional attributes for ConfigureDistributedTPU
configureTPUEmbedding(String) - Method in class org.tensorflow.op.TpuOps: Sets up TPUEmbedding in a distributed TPU system.
ConfigureTPUEmbedding - Class in org.tensorflow.op.tpu: Sets up TPUEmbedding in a distributed TPU system.
ConfigureTPUEmbedding(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding
ConfigureTPUEmbedding.Inputs - Class in org.tensorflow.op.tpu
configureTPUEmbeddingHost(Operand<TString>, Operand<TString>, String) - Method in class org.tensorflow.op.TpuOps: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingHost - Class in org.tensorflow.op.tpu: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingHost(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost
ConfigureTPUEmbeddingHost.Inputs - Class in org.tensorflow.op.tpu
configureTPUEmbeddingMemory(Operand<TString>) - Method in class org.tensorflow.op.TpuOps: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingMemory - Class in org.tensorflow.op.tpu: An op that configures the TPUEmbedding software on a host.
ConfigureTPUEmbeddingMemory(Operation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory
ConfigureTPUEmbeddingMemory.Inputs - Class in org.tensorflow.op.tpu
conj(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the complex conjugate of a complex number.
Conj<T extends TType> - Class in org.tensorflow.op.math: Returns the complex conjugate of a complex number.
Conj(Operation) - Constructor for class org.tensorflow.op.math.Conj
Conj.Inputs<T extends TType> - Class in org.tensorflow.op.math
conjugate - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: Indicates whether input should be conjugated.
conjugate(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Sets the conjugate option.
conjugate(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Options: Sets the conjugate option.
conjugateOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Conjugates the product of a and b.
conjugateOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the conjugateOutput option.
conjugateOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the conjugateOutput option.
conjugateTranspose(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose<T extends TType> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation and conjugate the result.
ConjugateTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose
ConjugateTranspose.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
connectTPUEmbeddingHosts(Iterable<Operand<TString>>) - Method in class org.tensorflow.op.TpuOps: An op that sets up communication between TPUEmbedding host software instances after ConfigureTPUEmbeddingHost has been called on each host.
ConnectTPUEmbeddingHosts - Class in org.tensorflow.op.tpu: An op that sets up communication between TPUEmbedding host software instances after ConfigureTPUEmbeddingHost has been called on each host.
ConnectTPUEmbeddingHosts(Operation) - Constructor for class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts
ConnectTPUEmbeddingHosts.Inputs - Class in org.tensorflow.op.tpu
constant(boolean) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single boolean element.
constant(boolean[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of boolean elements.
constant(boolean[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of boolean elements.
constant(boolean[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of boolean elements.
constant(boolean[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of boolean elements.
constant(boolean[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of boolean elements.
constant(boolean[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of boolean elements.
constant(byte) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single byte element.
constant(byte[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of byte elements.
constant(byte[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of byte elements.
constant(byte[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of byte elements.
constant(byte[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of byte elements.
constant(byte[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of byte elements.
constant(byte[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of byte elements.
constant(double) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single double element.
constant(double[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of double elements.
constant(double[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of double elements.
constant(double[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of double elements.
constant(double[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of double elements.
constant(double[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of double elements.
constant(double[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of double elements.
constant(float) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single float element.
constant(float[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of float elements.
constant(float[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of float elements.
constant(float[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of float elements.
constant(float[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of float elements.
constant(float[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of float elements.
constant(float[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of float elements.
constant(int) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single int element.
constant(int[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of int elements.
constant(int[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of int elements.
constant(int[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of int elements.
constant(int[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of int elements.
constant(int[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of int elements.
constant(int[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of int elements.
constant(long) - Method in class org.tensorflow.op.Ops: Creates a constant containing a single long element.
constant(long[]) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements.
constant(long[][]) - Method in class org.tensorflow.op.Ops: Creates a rank-2 constant of long elements.
constant(long[][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-3 constant of long elements.
constant(long[][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-4 constant of long elements.
constant(long[][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-5 constant of long elements.
constant(long[][][][][][]) - Method in class org.tensorflow.op.Ops: Creates a rank-6 constant of long elements.
constant(Class<T>, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of type, with the value of number.
constant(Class<T>, Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a constant with data from the given buffer.
constant(String) - Method in class org.tensorflow.op.Ops: Creates a String constant using the default, UTF-8 encoding.
constant(Charset, String) - Method in class org.tensorflow.op.Ops: Creates a String constant using a specified encoding.
constant(Charset, String[]) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements, using the given charset.
constant(Charset, NdArray<String>) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
constant(Charset, Shape, DataBuffer<String>) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the given encoding.
constant(BooleanNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
constant(ByteNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of byte elements that is a copy of a given n-dimensional array.
constant(DoubleNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of double elements that is a copy of a given n-dimensional array.
constant(FloatNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of float elements that is a copy of a given n-dimensional array.
constant(IntNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of int elements that is a copy of a given n-dimensional array.
constant(LongNdArray) - Method in class org.tensorflow.op.Ops: Creates a constant of long elements that is a copy of a given n-dimensional array.
constant(NdArray<String>) - Method in class org.tensorflow.op.Ops: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
constant(Shape) - Method in class org.tensorflow.op.Ops: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
constant(Shape, BooleanDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TBool constant with data from the given buffer.
constant(Shape, ByteDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TUint8 constant with data from the given buffer.
constant(Shape, DataBuffer<String>) - Method in class org.tensorflow.op.Ops: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
constant(Shape, DoubleDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat64 constant with data from the given buffer.
constant(Shape, FloatDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TFloat32 constant with data from the given buffer.
constant(Shape, IntDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt32 constant with data from the given buffer.
constant(Shape, LongDataBuffer) - Method in class org.tensorflow.op.Ops: Create a TInt64 constant with data from the given buffer.
Constant<T extends TType> - Class in org.tensorflow.op.core: An operator producing a constant value.
constantOf(T) - Method in class org.tensorflow.op.Ops: Create a constant by making an immutable copy of tensor.
constantOfSameType(Operand<T>, Number) - Method in class org.tensorflow.op.Ops: Creates a scalar of the same type as toMatch, with the value of number.
constantValues - Variable in class org.tensorflow.op.core.Pad.Inputs: The constantValues input
consumeMutexLock(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: This op consumes a lock created by MutexLock.
ConsumeMutexLock - Class in org.tensorflow.op.core: This op consumes a lock created by MutexLock.
ConsumeMutexLock(Operation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock
ConsumeMutexLock.Inputs - Class in org.tensorflow.op.core
consumerIndex - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The consumerIndex input
consumers() - Method in class org.tensorflow.GraphOperation: Get the ops that use any of this op's outputs as an input, not including control dependencies.
consumers(int) - Method in class org.tensorflow.GraphOperation: Get the ops that use this op's designated output as an input, not including control dependencies.
container - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier is placed in the given container.
container - Variable in class org.tensorflow.op.core.Batch.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Controls the scope of sharing of this batch.
container - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MapClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapStage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is placed in the given container.
container - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is placed in the given container.
container - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Stage.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.core.StageClear.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.StageSize.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.Unstage.Inputs: The container attribute
container - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the container this variable is placed in.
container - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is placed in the given container.
container - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.Iterator.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource is placed in the given container.
container - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The container attribute
container - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue is placed in the given container.
container - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is placed in the given container.
container - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The container name for the SparseTensorsMap created by this op.
container - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The container name for the SparseTensorsMap created by this op.
container - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The container name for the SparseTensorsMap read by this op.
container - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The container attribute
container - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator is placed in the given container.
container(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Batch: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Stage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.core.Variable: Sets the container option.
container(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the container option.
container(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the container option.
container(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the container option.
container(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the container option.
container(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the container option.
container(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the container option.
container(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the container option.
containsKey(String) - Method in class org.tensorflow.Result: Does this result object have a tensor for the supplied key?
contents - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: The WAV-encoded audio, usually from a file.
contents - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeBmp.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeGif.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.DecodePng.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: 0-D.
contents - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
contents() - Method in class org.tensorflow.op.audio.EncodeWav: Gets contents.
contents() - Method in class org.tensorflow.op.image.EncodeJpeg: Gets contents.
contents() - Method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Gets contents.
contents() - Method in class org.tensorflow.op.image.EncodePng: Gets contents.
contents() - Method in class org.tensorflow.op.io.ReadFile: Gets contents.
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty).
contextDenseDefaults - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense Tensors (some may be empty).
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' context features associated with dense values.
contextDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense string Tensors (scalars).
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_dense shapes; the shapes of data in each context Feature given in context_dense_keys.
contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the contextDenseShapes option.
contextDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the contextDenseShapes option.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextDenseValues.
contextDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextDenseValues.
contextRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_ragged values.
contextRaggedRowSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedRowSplits.
contextRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged context features.
contextRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextRaggedValues.
contextRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged context features.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseIndices.
contextSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseIndices.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the Examples' features associated with context_sparse values.
contextSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse string Tensors (scalars).
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseShapes.
contextSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseShapes.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Ncontext_sparse types; the data types of data in each context Feature given in context_sparse_keys.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets contextSparseValues.
contextSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets contextSparseValues.
contrastFactor - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: A float multiplier for adjusting contrast.
controlConsumers() - Method in class org.tensorflow.GraphOperation: Get the ops with this op as a control dependency.
controlInputs() - Method in class org.tensorflow.GraphOperation: Get the control inputs of this op.
controlTrigger() - Method in class org.tensorflow.op.Ops: Does nothing.
ControlTrigger - Class in org.tensorflow.op.core: Does nothing.
ControlTrigger(Operation) - Constructor for class org.tensorflow.op.core.ControlTrigger
ControlTrigger.Inputs - Class in org.tensorflow.op.core
conv(Operand<T>, Operand<T>, List<Long>, String, Conv.Options...) - Method in class org.tensorflow.op.NnOps: Computes a N-D convolution given (N+1+batch_dims)-D input and (N+2)-D filter tensors.
Conv<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a N-D convolution given (N+1+batch_dims)-D input and (N+2)-D filter tensors.
Conv(Operation) - Constructor for class org.tensorflow.op.nn.Conv
Conv.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv
conv2d(Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2-D convolution given 4-D input and filter tensors.
Conv2d(Operation) - Constructor for class org.tensorflow.op.nn.Conv2d
Conv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2d
conv2dBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter
Conv2dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropFilter
Conv2dBackpropFilterV2<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the filter.
Conv2dBackpropFilterV2(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilterV2
Conv2dBackpropFilterV2.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropFilterV2.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropFilterV2
conv2dBackpropInput(Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput
Conv2dBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropInput
Conv2dBackpropInputV2<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of convolution with respect to the input.
Conv2dBackpropInputV2(Operation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInputV2
Conv2dBackpropInputV2.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv2dBackpropInputV2.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv2dBackpropInputV2
conv3d(Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 3-D convolution given 5-D input and filter tensors.
Conv3d(Operation) - Constructor for class org.tensorflow.op.nn.Conv3d
Conv3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv3d.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3d
conv3dBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the filter.
Conv3dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter
Conv3dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
Conv3dBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropFilter
conv3dBackpropInput(Operand<? extends TNumber>, Operand, Operand, List<Long>, String, Conv3dBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput - Class in org.tensorflow.op.nn: Computes the gradients of 3-D convolution with respect to the input.
Conv3dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput
Conv3dBackpropInput.Inputs - Class in org.tensorflow.op.nn
Conv3dBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for Conv3dBackpropInput
convertToCooTensor(Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Long, String) - Method in class org.tensorflow.op.TpuOps: The ConvertToCooTensor operation
ConvertToCooTensor - Class in org.tensorflow.op.tpu: The ConvertToCooTensor operation
ConvertToCooTensor(Operation) - Constructor for class org.tensorflow.op.tpu.ConvertToCooTensor
ConvertToCooTensor.Inputs - Class in org.tensorflow.op.tpu
Copy<T extends TType> - Class in org.tensorflow.op.core: Copy a tensor from CPU-to-CPU or GPU-to-GPU.
Copy(Operation) - Constructor for class org.tensorflow.op.core.Copy
Copy.Inputs<T extends TType> - Class in org.tensorflow.op.core
Copy.Options - Class in org.tensorflow.op.core: Optional attributes for Copy
CopyHost<T extends TType> - Class in org.tensorflow.op.core: Copy a tensor to host.
CopyHost(Operation) - Constructor for class org.tensorflow.op.core.CopyHost
CopyHost.Inputs<T extends TType> - Class in org.tensorflow.op.core
CopyHost.Options - Class in org.tensorflow.op.core: Optional attributes for CopyHost
copyToMesh(Operand<T>, String) - Method in class org.tensorflow.op.Ops: The CopyToMesh operation
CopyToMesh<T extends TType> - Class in org.tensorflow.op.core: The CopyToMesh operation
CopyToMesh(Operation) - Constructor for class org.tensorflow.op.core.CopyToMesh
CopyToMesh.Inputs<T extends TType> - Class in org.tensorflow.op.core
copyToMeshGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: The CopyToMeshGrad operation
CopyToMeshGrad<T extends TType> - Class in org.tensorflow.op.core: The CopyToMeshGrad operation
CopyToMeshGrad(Operation) - Constructor for class org.tensorflow.op.core.CopyToMeshGrad
CopyToMeshGrad.Inputs<T extends TType> - Class in org.tensorflow.op.core
cos(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes cos of x element-wise.
Cos<T extends TType> - Class in org.tensorflow.op.math: Computes cos of x element-wise.
Cos(Operation) - Constructor for class org.tensorflow.op.math.Cos
Cos.Inputs<T extends TType> - Class in org.tensorflow.op.math
cosh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic cosine of x element-wise.
Cosh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic cosine of x element-wise.
Cosh(Operation) - Constructor for class org.tensorflow.op.math.Cosh
Cosh.Inputs<T extends TType> - Class in org.tensorflow.op.math
costEstimateNs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Estimated duration of the host computation in nanoseconds.
costEstimateNs(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the costEstimateNs option.
costEstimateNs(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the costEstimateNs option.
count - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: A scalar representing the number of times that input_dataset should be repeated.
count - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The count input
count - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be skipped.
count - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: A scalar representing the number of elements from the input_dataset that should be taken.
count() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets count.
counter - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm).
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets counter.
counter() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets counter.
counterPrefix - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counterPrefix - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The counterPrefix input
counts - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The counts input
counts - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The counts of the binomial distribution.
countUpTo(Operand<T>, Long) - Method in class org.tensorflow.op.Ops: Increments 'ref' until it reaches 'limit'.
CountUpTo<T extends TNumber> - Class in org.tensorflow.op.core: Increments 'ref' until it reaches 'limit'.
CountUpTo(Operation) - Constructor for class org.tensorflow.op.core.CountUpTo
CountUpTo.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
CPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
cpuBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The cpuBudget attribute
cpuBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the cpuBudget option.
cpuBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the cpuBudget option.
create() - Static method in class org.tensorflow.EagerSession: Returns an EagerSession configured with default options.
create() - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the default eager execution environment
create(Function<Ops, Signature>) - Static method in class org.tensorflow.ConcreteFunction: Creates a function by building a new graph.
create(ExecutionEnvironment) - Static method in class org.tensorflow.op.Ops: Creates an API for building operations in the provided execution environment
create(Scope) - Static method in class org.tensorflow.op.core.ControlTrigger: Factory method to create a class wrapping a new ControlTrigger operation.
create(Scope) - Static method in class org.tensorflow.op.core.DummyMemoryCache: Factory method to create a class wrapping a new DummyMemoryCache operation.
create(Scope) - Static method in class org.tensorflow.op.core.EmptyTensorMap: Factory method to create a class wrapping a new EmptyTensorMap operation.
create(Scope) - Static method in class org.tensorflow.op.core.NoOp: Factory method to create a class wrapping a new NoOp operation.
create(Scope) - Static method in class org.tensorflow.op.core.SyncDevice: Factory method to create a class wrapping a new SyncDevice operation.
create(Scope) - Static method in class org.tensorflow.op.core.Timestamp: Factory method to create a class wrapping a new Timestamp operation.
create(Scope) - Static method in class org.tensorflow.op.data.AnonymousMemoryCache: Factory method to create a class wrapping a new AnonymousMemoryCache operation.
create(Scope) - Static method in class org.tensorflow.op.data.DummyIterationCounter: Factory method to create a class wrapping a new DummyIterationCounter operation.
create(Scope) - Static method in class org.tensorflow.op.data.OptionalNone: Factory method to create a class wrapping a new OptionalNone operation.
create(Scope) - Static method in class org.tensorflow.op.math.Fact: Factory method to create a class wrapping a new Fact operation.
create(Scope) - Static method in class org.tensorflow.op.random.DummySeedGenerator: Factory method to create a class wrapping a new DummySeedGenerator operation.
create(Scope) - Static method in class org.tensorflow.op.random.StatelessRandomGetAlg: Factory method to create a class wrapping a new StatelessRandomGetAlg operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.CompilationResult: Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.GlobalIterId: Factory method to create a class wrapping a new GlobalIterId operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.OrdinalSelector: Factory method to create a class wrapping a new TPUOrdinalSelector operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.ShutdownDistributedTPU: Factory method to create a class wrapping a new ShutdownDistributedTPU operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.ShutdownTPUSystem: Factory method to create a class wrapping a new ShutdownTPUSystem operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Factory method to create a class wrapping a new TPUCompilationResult operation.
create(Scope) - Static method in class org.tensorflow.op.tpu.TPURoundRobin: Factory method to create a class wrapping a new TPURoundRobin operation.
create(Scope, Class<T>, Class) - Static method in class org.tensorflow.op.core.AnonymousHashTable: Factory method to create a class wrapping a new AnonymousHashTable operation.
create(Scope, Class<T>, Class) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTable: Factory method to create a class wrapping a new AnonymousMutableHashTable operation.
create(Scope, Class<T>, Class, AnonymousMutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Factory method to create a class wrapping a new AnonymousMutableHashTableOfTensors operation.
create(Scope, Class<T>, Class, HashTable.Options...) - Static method in class org.tensorflow.op.core.HashTable: Factory method to create a class wrapping a new HashTableV2 operation.
create(Scope, Class<T>, Class, MutableHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableHashTable: Factory method to create a class wrapping a new MutableHashTableV2 operation.
create(Scope, Class<T>, Class, MutableHashTableOfTensors.Options...) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Factory method to create a class wrapping a new MutableHashTableOfTensorsV2 operation.
create(Scope, Class<T>, String, String, Long, String, Recv.Options...) - Static method in class org.tensorflow.op.core.Recv: Factory method to create a class wrapping a new Recv operation.
create(Scope, Class<T>, Shape) - Static method in class org.tensorflow.op.core.FakeParam: Factory method to create a class wrapping a new FakeParam operation.
create(Scope, Class<T>, Shape) - Static method in class org.tensorflow.op.tpu.InfeedDequeue: Factory method to create a class wrapping a new InfeedDequeue operation.
create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.core.ImmutableConst: Factory method to create a class wrapping a new ImmutableConst operation.
create(Scope, Class<T>, Shape, String) - Static method in class org.tensorflow.op.xla.XlaRecvFromHost: Factory method to create a class wrapping a new XlaRecvFromHost operation.
create(Scope, Class<T>, Shape, VarHandleOp.Options...) - Static method in class org.tensorflow.op.core.VarHandleOp: Factory method to create a class wrapping a new VarHandleOp operation.
create(Scope, Class<T>, Shape, SparseConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Factory method to create a class wrapping a new SparseConditionalAccumulator operation.
create(Scope, Class<T>, Shape, OutfeedDequeue.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Factory method to create a class wrapping a new OutfeedDequeue operation.
create(Scope, Class<T>, Shape, ConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Factory method to create a class wrapping a new ConditionalAccumulator operation.
create(Scope, Class<T>, Shape, ResourceConditionalAccumulator.Options...) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Factory method to create a class wrapping a new ResourceConditionalAccumulator operation.
create(Scope, Class<T>, Placeholder.Options...) - Static method in class org.tensorflow.op.core.Placeholder: Factory method to create a class wrapping a new Placeholder operation.
create(Scope, Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.core.IdentityN: Factory method to create a class wrapping a new IdentityN operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.CompressElement: Factory method to create a class wrapping a new CompressElement operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.data.OptionalFromValue: Factory method to create a class wrapping a new OptionalFromValue operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: Factory method to create a class wrapping a new OutfeedEnqueueTuple operation.
create(Scope, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: Factory method to create a class wrapping a new TPUAnnotateTensorsWithDynamicShape operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GeneratorDataset.Options...) - Static method in class org.tensorflow.op.data.GeneratorDataset: Factory method to create a class wrapping a new GeneratorDataset operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, String, Boolean, Long, Long, Class<T>, Class) - Static method in class org.tensorflow.op.ragged.RaggedCross: Factory method to create a class wrapping a new RaggedCross operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, MapDefun.Options...) - Static method in class org.tensorflow.op.core.MapDefun: Factory method to create a class wrapping a new MapDefun operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, Long, Long, Long, List<Class<? extends TType>>, BatchFunction.Options...) - Static method in class org.tensorflow.op.core.BatchFunction: Factory method to create a class wrapping a new BatchFunction operation.
create(Scope, Iterable<Operand<?>>, Iterable<Operand<TInt32>>) - Static method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: Factory method to create a class wrapping a new TPUCopyWithDynamicShape operation.
create(Scope, Iterable<Operand<?>>, Long, Long, Long, Long, Batch.Options...) - Static method in class org.tensorflow.op.core.Batch: Factory method to create a class wrapping a new Batch operation.
create(Scope, Iterable<Operand<?>>, String) - Static method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Factory method to create a class wrapping a new CompositeTensorVariantFromComponents operation.
create(Scope, Iterable<Operand<?>>, String, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.core.MlirPassthroughOp: Factory method to create a class wrapping a new MlirPassthroughOp operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, List<String>, List<Shape>, ConcreteFunction, String, XlaHostCompute.Options...) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Factory method to create a class wrapping a new XlaHostCompute operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.WindowOp: Factory method to create a class wrapping a new WindowOp operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ListDataset.Options...) - Static method in class org.tensorflow.op.data.ListDataset: Factory method to create a class wrapping a new ListDataset operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Static method in class org.tensorflow.op.train.SymbolicGradient: Factory method to create a class wrapping a new SymbolicGradient operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.core.PartitionedCall: Factory method to create a class wrapping a new PartitionedCall operation.
create(Scope, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, StatefulPartitionedCall.Options...) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Factory method to create a class wrapping a new StatefulPartitionedCall operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, TensorDataset.Options...) - Static method in class org.tensorflow.op.data.TensorDataset: Factory method to create a class wrapping a new TensorDataset operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, TensorSliceDataset.Options...) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Factory method to create a class wrapping a new TensorSliceDataset operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, InfeedEnqueueTuple.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
create(Scope, Iterable<Operand<?>>, List<Shape>, PrelinearizeTuple.Options...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Factory method to create a class wrapping a new PrelinearizeTuple operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatefulWhile: Factory method to create a class wrapping a new While operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in class org.tensorflow.op.core.StatelessWhile: Factory method to create a class wrapping a new StatelessWhile operation.
create(Scope, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Static method in interface org.tensorflow.op.core.While: Factory method to create a class wrapping a new While operation.
create(Scope, Iterable<Operand<?>>, Stage.Options...) - Static method in class org.tensorflow.op.core.Stage: Factory method to create a class wrapping a new Stage operation.
create(Scope, Iterable<Operand<?>>, StringFormat.Options...) - Static method in class org.tensorflow.op.strings.StringFormat: Factory method to create a class wrapping a new StringFormat operation.
create(Scope, Iterable<Operand<?>>, Operand<TInt32>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedCall: Factory method to create a class wrapping a new TPUPartitionedCall operation.
create(Scope, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.tpu.Execute: Factory method to create a class wrapping a new TPUExecute operation.
create(Scope, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Long>, List<Long>) - Static method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Factory method to create a class wrapping a new TPUExecuteAndUpdateVariables operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingRaggedTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, EnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingArbitraryTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, EnqueueTPUEmbeddingSparseBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingSparseBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, Operand<TInt32>, List<Long>, DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Factory method to create a class wrapping a new DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, Operand<TInt32>, DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Factory method to create a class wrapping a new DynamicEnqueueTPUEmbeddingArbitraryTensorBatch operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Operand<? extends TType>, Boolean) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Factory method to create a class wrapping a new RaggedTensorToVariant operation.
create(Scope, Iterable<Operand<? extends TNumber>>, Operand) - Static method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Factory method to create a class wrapping a new RaggedTensorToSparse operation.
create(Scope, Iterable<Operand<? extends TType>>) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation, with the default output types.
create(Scope, Iterable<Operand<? extends TType>>, Class) - Static method in class org.tensorflow.op.core.ShapeN: Factory method to create a class wrapping a new ShapeN operation.
create(Scope, Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ChooseFastestDataset: Factory method to create a class wrapping a new ChooseFastestDataset operation.
create(Scope, Iterable<Operand<? extends TType>>, Long, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Factory method to create a class wrapping a new ExperimentalChooseFastestDataset operation.
create(Scope, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
create(Scope, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, ZipDataset.Options...) - Static method in class org.tensorflow.op.data.ZipDataset: Factory method to create a class wrapping a new ZipDataset operation.
create(Scope, Iterable<Operand<? extends TType>>, Operand<TString>, Operand<? extends TType>) - Static method in class org.tensorflow.op.tpu.TPUReshardVariables: Factory method to create a class wrapping a new TPUReshardVariables operation.
create(Scope, Iterable<Operand<TFloat32>>, Float, Float) - Static method in class org.tensorflow.op.train.SdcaShrinkL1: Factory method to create a class wrapping a new SdcaShrinkL1 operation.
create(Scope, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, String, Long, Long) - Static method in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters: Factory method to create a class wrapping a new LoadAllTPUEmbeddingParameters operation.
create(Scope, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, String, SendTPUEmbeddingGradients.Options...) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Factory method to create a class wrapping a new SendTPUEmbeddingGradients operation.
create(Scope, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<? extends TType>, String, XlaSendTPUEmbeddingGradients.Options...) - Static method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: Factory method to create a class wrapping a new XlaSendTPUEmbeddingGradients operation.
create(Scope, Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.DynamicStitch: Factory method to create a class wrapping a new DynamicStitch operation.
create(Scope, Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.ParallelDynamicStitch: Factory method to create a class wrapping a new ParallelDynamicStitch operation.
create(Scope, Iterable<Operand<TInt32>>, Operand<TString>, EnqueueTPUEmbeddingIntegerBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingIntegerBatch operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseCrossHashed: Factory method to create a class wrapping a new SparseCrossHashed operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TString>) - Static method in class org.tensorflow.op.sparse.SparseCross: Factory method to create a class wrapping a new SparseCrossV2 operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Long, ConcreteFunction, String) - Static method in class org.tensorflow.op.tpu.Compile: Factory method to create a class wrapping a new TPUCompile operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, Operand<TFloat32>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Static method in class org.tensorflow.op.train.SdcaOptimizer: Factory method to create a class wrapping a new SdcaOptimizerV2 operation.
create(Scope, Iterable<Operand<TInt64>>, Iterable<Operand<T>>, Iterable<Operand<TInt64>>, Long) - Static method in class org.tensorflow.op.sparse.SparseConcat: Factory method to create a class wrapping a new SparseConcat operation.
create(Scope, Iterable<Operand<TString>>) - Static method in class org.tensorflow.op.summary.MergeSummary: Factory method to create a class wrapping a new MergeSummary operation.
create(Scope, Iterable<Operand<TString>>) - Static method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: Factory method to create a class wrapping a new CollateTPUEmbeddingMemory operation.
create(Scope, Iterable<Operand<TString>>) - Static method in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts: Factory method to create a class wrapping a new ConnectTPUEmbeddingHosts operation.
create(Scope, Iterable<Operand<TString>>, Join.Options...) - Static method in class org.tensorflow.op.strings.Join: Factory method to create a class wrapping a new StringJoin operation.
create(Scope, Iterable<Operand<TString>>, Operand<TString>, EnqueueTPUEmbeddingBatch.Options...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Factory method to create a class wrapping a new EnqueueTPUEmbeddingBatch operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.Merge: Factory method to create a class wrapping a new Merge operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefMerge: Factory method to create a class wrapping a new RefMerge operation.
create(Scope, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.math.AddN: Factory method to create a class wrapping a new AddN operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.distribute.NcclReduce: Factory method to create a class wrapping a new NcclReduce operation.
create(Scope, Iterable<Operand<T>>, String) - Static method in class org.tensorflow.op.linalg.Einsum: Factory method to create a class wrapping a new Einsum operation.
create(Scope, Iterable<Operand<T>>, List<Long>, PartitionedInput.Options...) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Factory method to create a class wrapping a new TPUPartitionedInputV2 operation.
create(Scope, Iterable<Operand<T>>, List<Long>, ConcatND.Options...) - Static method in class org.tensorflow.op.xla.ConcatND: Factory method to create a class wrapping a new XlaConcatND operation.
create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.core.ParallelConcat: Factory method to create a class wrapping a new ParallelConcat operation.
create(Scope, Iterable<Operand<T>>, Shape) - Static method in class org.tensorflow.op.math.AccumulateN: Factory method to create a class wrapping a new AccumulateNV2 operation.
create(Scope, Iterable<Operand<T>>, Stack.Options...) - Static method in class org.tensorflow.op.core.Stack: Factory method to create a class wrapping a new Pack operation.
create(Scope, Iterable<Operand<T>>, ReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Iterable<Operand<T>>, TPUReplicatedInput.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedInput operation.
create(Scope, Iterable<Operand<T>>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Concat: Factory method to create a class wrapping a new ConcatV2 operation.
create(Scope, Iterable<Operand<T>>, Operand, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.ragged.RaggedGather: Factory method to create a class wrapping a new RaggedGather operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdadeltaParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingADAMParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingFTRLParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingMomentumParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingProximalYogiParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingRMSPropParameters operation.
create(Scope, Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope, Long, String) - Static method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Factory method to create a class wrapping a new RecvTPUEmbeddingActivations operation.
create(Scope, Long, String, Long, Long) - Static method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Factory method to create a class wrapping a new RetrieveAllTPUEmbeddingParameters operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Factory method to create a class wrapping a new ExperimentalThreadPoolHandle operation.
create(Scope, Long, String, ThreadPoolHandle.Options...) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Factory method to create a class wrapping a new ThreadPoolHandle operation.
create(Scope, Long, FixedLengthRecordReader.Options...) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Factory method to create a class wrapping a new FixedLengthRecordReaderV2 operation.
create(Scope, Long, ReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, Long, TPUReplicateMetadata.Options...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Factory method to create a class wrapping a new TPUReplicateMetadata operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ComputeDedupDataSize: Factory method to create a class wrapping a new ComputeDedupDataSize operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: Factory method to create a class wrapping a new ComputeDedupDataTupleMask operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: Factory method to create a class wrapping a new ConfigureTPUEmbedding operation.
create(Scope, String) - Static method in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: Factory method to create a class wrapping a new ExecuteTPUEmbeddingPartitioner operation.
create(Scope, String) - Static method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: Factory method to create a class wrapping a new XlaRecvTPUEmbeddingDeduplicationData operation.
create(Scope, String, Long, Skipgram.Options...) - Static method in class org.tensorflow.op.core.Skipgram: Factory method to create a class wrapping a new Skipgram operation.
create(Scope, String, String, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.Iterator: Factory method to create a class wrapping a new IteratorV2 operation.
create(Scope, String, RecordInput.Options...) - Static method in class org.tensorflow.op.random.RecordInput: Factory method to create a class wrapping a new RecordInput operation.
create(Scope, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousIterator: Factory method to create a class wrapping a new AnonymousIteratorV3 operation.
create(Scope, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Factory method to create a class wrapping a new InfeedDequeueTuple operation.
create(Scope, List<Class<? extends TType>>, List<Shape>, PriorityQueue.Options...) - Static method in class org.tensorflow.op.io.PriorityQueue: Factory method to create a class wrapping a new PriorityQueueV2 operation.
create(Scope, List<Class<? extends TType>>, List<Shape>, OutfeedDequeueTuple.Options...) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Factory method to create a class wrapping a new OutfeedDequeueTuple operation.
create(Scope, List<Class<? extends TType>>, Barrier.Options...) - Static method in class org.tensorflow.op.core.Barrier: Factory method to create a class wrapping a new Barrier operation.
create(Scope, List<Class<? extends TType>>, MapClear.Options...) - Static method in class org.tensorflow.op.core.MapClear: Factory method to create a class wrapping a new MapClear operation.
create(Scope, List<Class<? extends TType>>, MapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Factory method to create a class wrapping a new MapIncompleteSize operation.
create(Scope, List<Class<? extends TType>>, MapSize.Options...) - Static method in class org.tensorflow.op.core.MapSize: Factory method to create a class wrapping a new MapSize operation.
create(Scope, List<Class<? extends TType>>, OrderedMapClear.Options...) - Static method in class org.tensorflow.op.core.OrderedMapClear: Factory method to create a class wrapping a new OrderedMapClear operation.
create(Scope, List<Class<? extends TType>>, OrderedMapIncompleteSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Factory method to create a class wrapping a new OrderedMapIncompleteSize operation.
create(Scope, List<Class<? extends TType>>, OrderedMapSize.Options...) - Static method in class org.tensorflow.op.core.OrderedMapSize: Factory method to create a class wrapping a new OrderedMapSize operation.
create(Scope, List<Class<? extends TType>>, StageClear.Options...) - Static method in class org.tensorflow.op.core.StageClear: Factory method to create a class wrapping a new StageClear operation.
create(Scope, List<Class<? extends TType>>, StageSize.Options...) - Static method in class org.tensorflow.op.core.StageSize: Factory method to create a class wrapping a new StageSize operation.
create(Scope, List<Class<? extends TType>>, Unstage.Options...) - Static method in class org.tensorflow.op.core.Unstage: Factory method to create a class wrapping a new Unstage operation.
create(Scope, List<Class<? extends TType>>, FifoQueue.Options...) - Static method in class org.tensorflow.op.io.FifoQueue: Factory method to create a class wrapping a new FIFOQueueV2 operation.
create(Scope, List<Class<? extends TType>>, PaddingFifoQueue.Options...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Factory method to create a class wrapping a new PaddingFIFOQueueV2 operation.
create(Scope, List<Class<? extends TType>>, RandomShuffleQueue.Options...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Factory method to create a class wrapping a new RandomShuffleQueueV2 operation.
create(Scope, List<String>) - Static method in class org.tensorflow.op.core.DeviceIndex: Factory method to create a class wrapping a new DeviceIndex operation.
create(Scope, List<String>, String, String, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIterator: Factory method to create a class wrapping a new MultiDeviceIterator operation.
create(Scope, List<String>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Factory method to create a class wrapping a new AnonymousMultiDeviceIteratorV3 operation.
create(Scope, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, OneShotIterator.Options...) - Static method in class org.tensorflow.op.data.OneShotIterator: Factory method to create a class wrapping a new OneShotIterator operation.
create(Scope, Shape, Class<T>, TemporaryVariable.Options...) - Static method in class org.tensorflow.op.core.TemporaryVariable: Factory method to create a class wrapping a new TemporaryVariable operation.
create(Scope, Shape, Class<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Variable: Factory method to create a class wrapping a new VariableV2 operation.
create(Scope, Abort.Options...) - Static method in class org.tensorflow.op.core.Abort: Factory method to create a class wrapping a new Abort operation.
create(Scope, Mutex.Options...) - Static method in class org.tensorflow.op.core.Mutex: Factory method to create a class wrapping a new MutexV2 operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Factory method to create a class wrapping a new ExperimentalStatsAggregatorHandle operation.
create(Scope, StatsAggregatorHandle.Options...) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Factory method to create a class wrapping a new StatsAggregatorHandleV2 operation.
create(Scope, IdentityReader.Options...) - Static method in class org.tensorflow.op.io.IdentityReader: Factory method to create a class wrapping a new IdentityReaderV2 operation.
create(Scope, LmdbReader.Options...) - Static method in class org.tensorflow.op.io.LmdbReader: Factory method to create a class wrapping a new LMDBReader operation.
create(Scope, TextLineReader.Options...) - Static method in class org.tensorflow.op.io.TextLineReader: Factory method to create a class wrapping a new TextLineReaderV2 operation.
create(Scope, TfRecordReader.Options...) - Static method in class org.tensorflow.op.io.TfRecordReader: Factory method to create a class wrapping a new TFRecordReaderV2 operation.
create(Scope, WholeFileReader.Options...) - Static method in class org.tensorflow.op.io.WholeFileReader: Factory method to create a class wrapping a new WholeFileReaderV2 operation.
create(Scope, SummaryWriter.Options...) - Static method in class org.tensorflow.op.summary.SummaryWriter: Factory method to create a class wrapping a new SummaryWriter operation.
create(Scope, ConfigureAndInitializeGlobalTPU.Options...) - Static method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Factory method to create a class wrapping a new ConfigureAndInitializeGlobalTPU operation.
create(Scope, ConfigureDistributedTPU.Options...) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Factory method to create a class wrapping a new ConfigureDistributedTPU operation.
create(Scope, IsTPUEmbeddingInitialized.Options...) - Static method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Factory method to create a class wrapping a new IsTPUEmbeddingInitialized operation.
create(Scope, Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Static method in class org.tensorflow.op.core.Gradients: Adds gradients computation ops to the graph according to scope.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsFinite: Factory method to create a class wrapping a new IsFinite operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsInf: Factory method to create a class wrapping a new IsInf operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.IsNan: Factory method to create a class wrapping a new IsNan operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.PopulationCount: Factory method to create a class wrapping a new PopulationCount operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation, with the default output types.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Factory method to create a class wrapping a new StatelessRandomGetKeyCounter operation.
create(Scope, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Factory method to create a class wrapping a new StatelessRandomGetKeyCounterAlg operation.
create(Scope, Operand<? extends TNumber>, Class<T>) - Static method in class org.tensorflow.op.core.Ones: Creates a one valued tensor given its type and shape.
create(Scope, Operand<? extends TNumber>, Class<T>) - Static method in class org.tensorflow.op.core.Zeros: Creates a zeroed tensor given its type and shape.
create(Scope, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.nn.IsotonicRegression: Factory method to create a class wrapping a new IsotonicRegression operation.
create(Scope, Operand<? extends TNumber>, Class, RandomStandardNormal.Options...) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Factory method to create a class wrapping a new RandomStandardNormal operation.
create(Scope, Operand<? extends TNumber>, Class, RandomUniform.Options...) - Static method in class org.tensorflow.op.random.RandomUniform: Factory method to create a class wrapping a new RandomUniform operation.
create(Scope, Operand<? extends TNumber>, Class, TruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.TruncatedNormal: Factory method to create a class wrapping a new TruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, List<Float>) - Static method in class org.tensorflow.op.core.Bucketize: Factory method to create a class wrapping a new Bucketize operation.
create(Scope, Operand<? extends TNumber>, EncodePng.Options...) - Static method in class org.tensorflow.op.image.EncodePng: Factory method to create a class wrapping a new EncodePng operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomNormal: Factory method to create a class wrapping a new StatelessRandomNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniform: Factory method to create a class wrapping a new StatelessRandomUniform operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Factory method to create a class wrapping a new StatelessRandomUniformFullInt operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormal: Factory method to create a class wrapping a new StatelessTruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>, RandomPoisson.Options...) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, String, MergeDedupData.Options...) - Static method in class org.tensorflow.op.tpu.MergeDedupData: Factory method to create a class wrapping a new MergeDedupData operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, RandomPoisson.Options[]) - Static method in class org.tensorflow.op.random.RandomPoisson: Factory method to create a class wrapping a new RandomPoissonV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Factory method to create a class wrapping a new SparseMatMul operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<W>) - Static method in class org.tensorflow.op.random.StatelessRandomPoisson: Factory method to create a class wrapping a new StatelessRandomPoisson operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBias.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Factory method to create a class wrapping a new QuantizedMatMulWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndDequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndRequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedAdd: Factory method to create a class wrapping a new QuantizedAdd operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.math.QuantizedMul: Factory method to create a class wrapping a new QuantizedMul operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Static method in class org.tensorflow.op.nn.QuantizedBiasAdd: Factory method to create a class wrapping a new QuantizedBiasAdd operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Factory method to create a class wrapping a new QuantizedMatMul operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Factory method to create a class wrapping a new QuantizedConv2D operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Factory method to create a class wrapping a new QuantizedConv2DAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DPerChannel.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Factory method to create a class wrapping a new QuantizedConv2DPerChannel operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2D.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Factory method to create a class wrapping a new QuantizedDepthwiseConv2D operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Factory method to create a class wrapping a new QuantizedConv2DWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBias.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBias operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, QuantizedMatMulWithBiasAndRelu.Options...) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Factory method to create a class wrapping a new QuantizedMatMulWithBiasAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndReluAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndReluAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRequantize.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Factory method to create a class wrapping a new QuantizedConv2DAndRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Factory method to create a class wrapping a new QuantizedConv2DWithBiasSumAndRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class<V>, Long, Long, UniformQuantizedDotHybrid.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Factory method to create a class wrapping a new UniformQuantizedDotHybrid operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class<V>, String, Long, Long, UniformQuantizedConvolutionHybrid.Options...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Factory method to create a class wrapping a new UniformQuantizedConvolutionHybrid operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformInt: Factory method to create a class wrapping a new StatelessRandomUniformInt operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Class<W>) - Static method in class org.tensorflow.op.random.StatelessRandomBinomial: Factory method to create a class wrapping a new StatelessRandomBinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Operand<V>, Operand<V>) - Static method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Factory method to create a class wrapping a new StatelessParameterizedTruncatedNormal operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.StochasticCastToInt: Factory method to create a class wrapping a new StochasticCastToInt operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomNormalV2: Factory method to create a class wrapping a new StatelessRandomNormalV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Factory method to create a class wrapping a new StatelessRandomUniformFullIntV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessRandomUniformV2: Factory method to create a class wrapping a new StatelessRandomUniformV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Factory method to create a class wrapping a new StatelessTruncatedNormalV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomGamma: Factory method to create a class wrapping a new StatelessRandomGammaV3 operation.
create(Scope, Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Factory method to create a class wrapping a new StatelessRandomUniformIntV2 operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.quantization.RequantizationRange: Factory method to create a class wrapping a new RequantizationRange operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu: Factory method to create a class wrapping a new QuantizedRelu operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedRelu6: Factory method to create a class wrapping a new QuantizedRelu6 operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Factory method to create a class wrapping a new QuantizeDownAndShrinkRange operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class, Dequantize.Options...) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Float) - Static method in class org.tensorflow.op.math.RequantizationRangePerChannel: Factory method to create a class wrapping a new RequantizationRangePerChannel operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Dequantize.Options[]) - Static method in class org.tensorflow.op.quantization.Dequantize: Factory method to create a class wrapping a new Dequantize operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.nn.QuantizedReluX: Factory method to create a class wrapping a new QuantizedReluX operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.math.RequantizePerChannel: Factory method to create a class wrapping a new RequantizePerChannel operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Static method in class org.tensorflow.op.quantization.Requantize: Factory method to create a class wrapping a new Requantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, UniformDequantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformDequantize: Factory method to create a class wrapping a new UniformDequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, UniformQuantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantize: Factory method to create a class wrapping a new UniformQuantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, Long, Long, UniformRequantize.Options...) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Factory method to create a class wrapping a new UniformRequantize operation.
create(Scope, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, CropAndResize.Options...) - Static method in class org.tensorflow.op.image.CropAndResize: Factory method to create a class wrapping a new CropAndResize operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.EmptyTensorList: Factory method to create a class wrapping a new EmptyTensorList operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.TensorListReserve: Factory method to create a class wrapping a new TensorListReserve operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft: Factory method to create a class wrapping a new RFFT operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft2d: Factory method to create a class wrapping a new RFFT2D operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Rfft3d: Factory method to create a class wrapping a new RFFT3D operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Class, Multinomial.Options...) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeArea.Options...) - Static method in class org.tensorflow.op.image.ResizeArea: Factory method to create a class wrapping a new ResizeArea operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeBicubic.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubic: Factory method to create a class wrapping a new ResizeBicubic operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, ResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinear: Factory method to create a class wrapping a new ResizeBilinear operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Multinomial.Options[]) - Static method in class org.tensorflow.op.random.Multinomial: Factory method to create a class wrapping a new Multinomial operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation, with the default output types.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.random.StatelessMultinomial: Factory method to create a class wrapping a new StatelessMultinomial operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslate.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Factory method to create a class wrapping a new ScaleAndTranslate operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.RfftNd: Factory method to create a class wrapping a new RFFTND operation.
create(Scope, Operand<? extends TNumber>, Operand<TInt32>, Operand, Operand, OneHot.Options...) - Static method in class org.tensorflow.op.core.OneHot: Factory method to create a class wrapping a new OneHot operation.
create(Scope, Operand<? extends TNumber>, Operand) - Static method in class org.tensorflow.op.core.Fill: Factory method to create a class wrapping a new Fill operation.
create(Scope, Operand<? extends TNumber>, Operand, Boolean, DenseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Factory method to create a class wrapping a new DenseCountSparseOutput operation.
create(Scope, Operand<? extends TNumber>, Operand, RandomGamma.Options...) - Static method in class org.tensorflow.op.random.RandomGamma: Factory method to create a class wrapping a new RandomGamma operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand<TInt64>, Operand, SparseTensorDenseMatMul.Options...) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Factory method to create a class wrapping a new SparseTensorDenseMatMul operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, Iterable<Operand<? extends TNumber>>, List<String>) - Static method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Factory method to create a class wrapping a new RaggedTensorToTensor operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, List<Long>, String, Conv3dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Factory method to create a class wrapping a new Conv3DBackpropInputV2 operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, RandomUniformInt.Options...) - Static method in class org.tensorflow.op.random.RandomUniformInt: Factory method to create a class wrapping a new RandomUniformInt operation.
create(Scope, Operand<? extends TNumber>, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Factory method to create a class wrapping a new ParameterizedTruncatedNormal operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ConsumeMutexLock: Factory method to create a class wrapping a new ConsumeMutexLock operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.GetOptions: Factory method to create a class wrapping a new GetOptions operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.GetSessionHandle: Factory method to create a class wrapping a new GetSessionHandleV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.IsVariableInitialized: Factory method to create a class wrapping a new IsVariableInitialized operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableSize: Factory method to create a class wrapping a new LookupTableSizeV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.MutexLock: Factory method to create a class wrapping a new MutexLock operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Rank: Factory method to create a class wrapping a new Rank operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.StackClose: Factory method to create a class wrapping a new StackCloseV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorArrayClose: Factory method to create a class wrapping a new TensorArrayCloseV3 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListLength: Factory method to create a class wrapping a new TensorListLength operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapSize: Factory method to create a class wrapping a new TensorMapSize operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.VarIsInitializedOp: Factory method to create a class wrapping a new VarIsInitializedOp operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.Where: Factory method to create a class wrapping a new Where operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DatasetFingerprint: Factory method to create a class wrapping a new DatasetFingerprint operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.DatasetCardinality: Factory method to create a class wrapping a new ExperimentalDatasetCardinality operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Factory method to create a class wrapping a new ExperimentalIteratorGetDevice operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Factory method to create a class wrapping a new ExperimentalStatsAggregatorSummary operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.IteratorGetDevice: Factory method to create a class wrapping a new IteratorGetDevice operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.IteratorToStringHandle: Factory method to create a class wrapping a new IteratorToStringHandle operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorToStringHandle operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.OptionalHasValue: Factory method to create a class wrapping a new OptionalHasValue operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.UnwrapDatasetVariant: Factory method to create a class wrapping a new UnwrapDatasetVariant operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.WrapDatasetVariant: Factory method to create a class wrapping a new WrapDatasetVariant operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.dtypes.ToBool: Factory method to create a class wrapping a new ToBool operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.DisableCopyOnRead: Factory method to create a class wrapping a new DisableCopyOnRead operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.FakeQueue: Factory method to create a class wrapping a new FakeQueue operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.QueueIsClosed: Factory method to create a class wrapping a new QueueIsClosedV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.QueueSize: Factory method to create a class wrapping a new QueueSizeV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Factory method to create a class wrapping a new ReaderNumRecordsProducedV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Factory method to create a class wrapping a new ReaderNumWorkUnitsCompletedV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderReset: Factory method to create a class wrapping a new ReaderResetV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderSerializeState: Factory method to create a class wrapping a new ReaderSerializeStateV2 operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.SerializeTensor: Factory method to create a class wrapping a new SerializeTensor operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Factory method to create a class wrapping a new SparseMatrixNNZ operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Factory method to create a class wrapping a new SparseMatrixOrderingAMD operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation, with the default output types.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft: Factory method to create a class wrapping a new BatchFFT operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft2d: Factory method to create a class wrapping a new BatchFFT2D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchFft3d: Factory method to create a class wrapping a new BatchFFT3D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft: Factory method to create a class wrapping a new BatchIFFT operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft2d: Factory method to create a class wrapping a new BatchIFFT2D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.signal.BatchIfft3d: Factory method to create a class wrapping a new BatchIFFT3D operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.CloseSummaryWriter: Factory method to create a class wrapping a new CloseSummaryWriter operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.FlushSummaryWriter: Factory method to create a class wrapping a new FlushSummaryWriter operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.StatsAggregatorSummary: Factory method to create a class wrapping a new StatsAggregatorSummary operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.tpu.OutfeedEnqueue: Factory method to create a class wrapping a new OutfeedEnqueue operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ComputeBatchSize: Factory method to create a class wrapping a new ComputeBatchSize operation.
create(Scope, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Factory method to create a class wrapping a new ResourceAccumulatorNumAccumulated operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.ReadVariableOp: Factory method to create a class wrapping a new ReadVariableOp operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.StackPop: Factory method to create a class wrapping a new StackPopV2 operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListElementShape: Factory method to create a class wrapping a new TensorListElementShape operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorMapStackKeys: Factory method to create a class wrapping a new TensorMapStackKeys operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.VariableShape: Factory method to create a class wrapping a new VariableShape operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Factory method to create a class wrapping a new CSRSparseMatrixToDense operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Factory method to create a class wrapping a new CSRSparseMatrixToSparseTensor operation.
create(Scope, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
create(Scope, Operand<? extends TType>, Class<T>, Class) - Static method in class org.tensorflow.op.core.LookupTableExport: Factory method to create a class wrapping a new LookupTableExportV2 operation.
create(Scope, Operand<? extends TType>, Class<T>, Class, String, SplitDedupData.Options...) - Static method in class org.tensorflow.op.tpu.SplitDedupData: Factory method to create a class wrapping a new SplitDedupData operation.
create(Scope, Operand<? extends TType>, Class<T>, Long, List<Long>, ReadVariableSplitND.Options...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Factory method to create a class wrapping a new ReadVariableXlaSplitND operation.
create(Scope, Operand<? extends TType>, Class<T>, SparseMatrixTranspose.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Factory method to create a class wrapping a new SparseMatrixTranspose operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Bitcast: Factory method to create a class wrapping a new Bitcast operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Shape: Factory method to create a class wrapping a new Shape operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.Size: Factory method to create a class wrapping a new Size operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Angle: Factory method to create a class wrapping a new Angle operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.ComplexAbs: Factory method to create a class wrapping a new ComplexAbs operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Imag: Factory method to create a class wrapping a new Imag operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.math.Real: Factory method to create a class wrapping a new Real operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.NonDeterministicInts: Factory method to create a class wrapping a new NonDeterministicInts operation.
create(Scope, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.sparse.DeserializeSparse: Factory method to create a class wrapping a new DeserializeSparse operation.
create(Scope, Operand<? extends TType>, Class, DebugNumericsSummary.Options...) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation.
create(Scope, Operand<? extends TType>, Class, Cast.Options...) - Static method in class org.tensorflow.op.dtypes.Cast: Factory method to create a class wrapping a new Cast operation.
create(Scope, Operand<? extends TType>, Class, Eig.Options...) - Static method in class org.tensorflow.op.linalg.Eig: Factory method to create a class wrapping a new Eig operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Factory method to create a class wrapping a new ExperimentalGroupByReducerDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.GroupByReducerDataset: Factory method to create a class wrapping a new GroupByReducerDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Factory method to create a class wrapping a new ExperimentalGroupByWindowDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GroupByWindowDataset.Options...) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Factory method to create a class wrapping a new GroupByWindowDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Factory method to create a class wrapping a new ExperimentalScanDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ReduceDataset.Options...) - Static method in class org.tensorflow.op.data.ReduceDataset: Factory method to create a class wrapping a new ReduceDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Static method in class org.tensorflow.op.data.ScanDataset: Factory method to create a class wrapping a new ScanDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in interface org.tensorflow.op.core.If: Factory method to create a class wrapping a new If operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatefulIf: Factory method to create a class wrapping a new If operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Static method in class org.tensorflow.op.core.StatelessIf: Factory method to create a class wrapping a new StatelessIf operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Factory method to create a class wrapping a new ExperimentalTakeWhileDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Factory method to create a class wrapping a new ExperimentalMapDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FilterDataset.Options...) - Static method in class org.tensorflow.op.data.FilterDataset: Factory method to create a class wrapping a new FilterDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FlatMapDataset.Options...) - Static method in class org.tensorflow.op.data.FlatMapDataset: Factory method to create a class wrapping a new FlatMapDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Static method in class org.tensorflow.op.data.MapDataset: Factory method to create a class wrapping a new MapDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, TakeWhileDataset.Options...) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Factory method to create a class wrapping a new TakeWhileDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueue: Factory method to create a class wrapping a new QueueEnqueueV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Factory method to create a class wrapping a new QueueEnqueueManyV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelFilterDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Factory method to create a class wrapping a new ParallelFilterDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelMapDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Factory method to create a class wrapping a new ParallelMapDatasetV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, InterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.InterleaveDataset: Factory method to create a class wrapping a new InterleaveDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Factory method to create a class wrapping a new ExperimentalMapAndBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Factory method to create a class wrapping a new MapAndBatchDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Factory method to create a class wrapping a new ExperimentalParallelInterleaveDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, LegacyParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Factory method to create a class wrapping a new LegacyParallelInterleaveDatasetV2 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Factory method to create a class wrapping a new ParallelInterleaveDatasetV4 operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Factory method to create a class wrapping a new ExperimentalDirectedInterleaveDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, DirectedInterleaveDataset.Options...) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Long>, AssignVariableConcatND.Options...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Factory method to create a class wrapping a new AssignVariableXlaConcatND operation.
create(Scope, Operand<? extends TType>, Iterable<Operand<? extends TType>>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteMultiDeviceIterator: Factory method to create a class wrapping a new DeleteMultiDeviceIterator operation.
create(Scope, Operand<? extends TType>, Long, Class<T>) - Static method in class org.tensorflow.op.core.ResourceCountUpTo: Factory method to create a class wrapping a new ResourceCountUpTo operation.
create(Scope, Operand<? extends TType>, Long, Long, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation, with the default output types.
create(Scope, Operand<? extends TType>, Long, Long, Class, Class<T>) - Static method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Factory method to create a class wrapping a new RaggedTensorFromVariant operation.
create(Scope, Operand<? extends TType>, Long, String) - Static method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: Factory method to create a class wrapping a new XlaRecvTPUEmbeddingActivations operation.
create(Scope, Operand<? extends TType>, String) - Static method in class org.tensorflow.op.xla.XlaSendToHost: Factory method to create a class wrapping a new XlaSendToHost operation.
create(Scope, Operand<? extends TType>, String, String, Long, String, Send.Options...) - Static method in class org.tensorflow.op.core.Send: Factory method to create a class wrapping a new Send operation.
create(Scope, Operand<? extends TType>, String, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.core.CompositeTensorVariantToComponents: Factory method to create a class wrapping a new CompositeTensorVariantToComponents operation.
create(Scope, Operand<? extends TType>, String, List<Class<? extends TType>>, List<Shape>, OptionsDataset.Options...) - Static method in class org.tensorflow.op.data.OptionsDataset: Factory method to create a class wrapping a new OptionsDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Factory method to create a class wrapping a new ExperimentalNonSerializableDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.UnbatchDataset: Factory method to create a class wrapping a new ExperimentalUnbatchDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.UniqueDataset: Factory method to create a class wrapping a new ExperimentalUniqueDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.FilterByLastComponentDataset: Factory method to create a class wrapping a new FilterByLastComponentDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNext: Factory method to create a class wrapping a new IteratorGetNext operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Factory method to create a class wrapping a new IteratorGetNextAsOptional operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.IteratorGetNextSync: Factory method to create a class wrapping a new IteratorGetNextSync operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.NonSerializableDataset: Factory method to create a class wrapping a new NonSerializableDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.OptionalGetValue: Factory method to create a class wrapping a new OptionalGetValue operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.UncompressElement: Factory method to create a class wrapping a new UncompressElement operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DatasetToSingleElement.Options...) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Factory method to create a class wrapping a new DatasetToSingleElement operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Factory method to create a class wrapping a new ExperimentalIgnoreErrorsDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, FinalizeDataset.Options...) - Static method in class org.tensorflow.op.data.FinalizeDataset: Factory method to create a class wrapping a new FinalizeDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Factory method to create a class wrapping a new IgnoreErrorsDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ModelDataset.Options...) - Static method in class org.tensorflow.op.data.ModelDataset: Factory method to create a class wrapping a new ModelDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UnbatchDataset.Options...) - Static method in class org.tensorflow.op.data.UnbatchDataset: Factory method to create a class wrapping a new UnbatchDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UniqueDataset.Options...) - Static method in class org.tensorflow.op.data.UniqueDataset: Factory method to create a class wrapping a new UniqueDataset operation.
create(Scope, Operand<? extends TType>, List<Class<? extends TType>>, QueueDequeue.Options...) - Static method in class org.tensorflow.op.io.QueueDequeue: Factory method to create a class wrapping a new QueueDequeueV2 operation.
create(Scope, Operand<? extends TType>, DestroyResourceOp.Options...) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Factory method to create a class wrapping a new DestroyResourceOp operation.
create(Scope, Operand<? extends TType>, DatasetCardinality.Options...) - Static method in class org.tensorflow.op.data.DatasetCardinality: Factory method to create a class wrapping a new DatasetCardinality operation.
create(Scope, Operand<? extends TType>, DatasetToGraph.Options...) - Static method in class org.tensorflow.op.data.DatasetToGraph: Factory method to create a class wrapping a new DatasetToGraphV2 operation.
create(Scope, Operand<? extends TType>, SerializeIterator.Options...) - Static method in class org.tensorflow.op.data.SerializeIterator: Factory method to create a class wrapping a new SerializeIterator operation.
create(Scope, Operand<? extends TType>, DebugNanCount.Options...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Factory method to create a class wrapping a new DebugNanCount operation.
create(Scope, Operand<? extends TType>, DebugNumericsSummary.Options[]) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Factory method to create a class wrapping a new DebugNumericSummaryV2 operation, with the default output types.
create(Scope, Operand<? extends TType>, AsString.Options...) - Static method in class org.tensorflow.op.dtypes.AsString: Factory method to create a class wrapping a new AsString operation.
create(Scope, Operand<? extends TType>, QueueClose.Options...) - Static method in class org.tensorflow.op.io.QueueClose: Factory method to create a class wrapping a new QueueCloseV2 operation.
create(Scope, Operand<? extends TType>, InfeedEnqueue.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Factory method to create a class wrapping a new InfeedEnqueue operation.
create(Scope, Operand<? extends TType>, InfeedEnqueuePrelinearizedBuffer.Options...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Factory method to create a class wrapping a new InfeedEnqueuePrelinearizedBuffer operation.
create(Scope, Operand<? extends TType>, Prelinearize.Options...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Factory method to create a class wrapping a new Prelinearize operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.TensorListFromTensor: Factory method to create a class wrapping a new TensorListFromTensor operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class) - Static method in class org.tensorflow.op.core.ResourceGatherNd: Factory method to create a class wrapping a new ResourceGatherNd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class, ResourceGather.Options...) - Static method in class org.tensorflow.op.core.ResourceGather: Factory method to create a class wrapping a new ResourceGather operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMax: Factory method to create a class wrapping a new ArgMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.math.ArgMin: Factory method to create a class wrapping a new ArgMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterAdd: Factory method to create a class wrapping a new ResourceScatterAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterDiv: Factory method to create a class wrapping a new ResourceScatterDiv operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMax: Factory method to create a class wrapping a new ResourceScatterMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMin: Factory method to create a class wrapping a new ResourceScatterMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterMul: Factory method to create a class wrapping a new ResourceScatterMul operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterSub: Factory method to create a class wrapping a new ResourceScatterSub operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.ResourceScatterUpdate: Factory method to create a class wrapping a new ResourceScatterUpdate operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Factory method to create a class wrapping a new ResourceScatterNdAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Factory method to create a class wrapping a new ResourceScatterNdMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Factory method to create a class wrapping a new ResourceScatterNdMin operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Factory method to create a class wrapping a new ResourceScatterNdSub operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Factory method to create a class wrapping a new RaggedTensorToVariantGradient operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>) - Static method in class org.tensorflow.op.core.TensorListSplit: Factory method to create a class wrapping a new TensorListSplit operation.
create(Scope, Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.core.TensorListConcat: Factory method to create a class wrapping a new TensorListConcatV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.AssignAddVariableOp: Factory method to create a class wrapping a new AssignAddVariableOp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.AssignSubVariableOp: Factory method to create a class wrapping a new AssignSubVariableOp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableRemove: Factory method to create a class wrapping a new LookupTableRemoveV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListPushBack: Factory method to create a class wrapping a new TensorListPushBack operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorListPushBackBatch: Factory method to create a class wrapping a new TensorListPushBackBatch operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapHasKey: Factory method to create a class wrapping a new TensorMapHasKey operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteIterator: Factory method to create a class wrapping a new DeleteIterator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeleteMemoryCache: Factory method to create a class wrapping a new DeleteMemoryCache operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.DeserializeIterator: Factory method to create a class wrapping a new DeserializeIterator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.InitializeTableFromDataset: Factory method to create a class wrapping a new InitializeTableFromDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.MakeIterator: Factory method to create a class wrapping a new MakeIterator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: Factory method to create a class wrapping a new StatsAggregatorSetSummaryWriter operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.io.ReaderRead: Factory method to create a class wrapping a new ReaderReadV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Factory method to create a class wrapping a new SparseMatrixMul operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.DeleteRandomSeedGenerator: Factory method to create a class wrapping a new DeleteRandomSeedGenerator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.DeleteSeedGenerator: Factory method to create a class wrapping a new DeleteSeedGenerator operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListConcatLists: Factory method to create a class wrapping a new TensorListConcatLists operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<T>, SparseMatrixSparseMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Factory method to create a class wrapping a new SparseMatrixSparseMatMul operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.TensorMapErase: Factory method to create a class wrapping a new TensorMapErase operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.core.TensorMapLookup: Factory method to create a class wrapping a new TensorMapLookup operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Class<V>, BatchMatMul.Options...) - Static method in class org.tensorflow.op.train.BatchMatMul: Factory method to create a class wrapping a new BatchMatMulV3 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ThreadPoolDataset: Factory method to create a class wrapping a new ThreadPoolDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcatenateDataset.Options...) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Factory method to create a class wrapping a new ConcatenateDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, AssignVariableOp.Options...) - Static method in class org.tensorflow.op.core.AssignVariableOp: Factory method to create a class wrapping a new AssignVariableOp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.InitializeTable: Factory method to create a class wrapping a new InitializeTableV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableImport: Factory method to create a class wrapping a new LookupTableImportV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.LookupTableInsert: Factory method to create a class wrapping a new LookupTableInsertV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.TensorMapInsert: Factory method to create a class wrapping a new TensorMapInsert operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceApplyCenteredRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyCenteredRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Factory method to create a class wrapping a new ResourceApplyAdamWithAmsgrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceSparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Factory method to create a class wrapping a new ResourceSparseApplyAdagradDA operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Factory method to create a class wrapping a new ResourceSparseApplyFtrlV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Factory method to create a class wrapping a new ResourceApplyAdadelta operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Factory method to create a class wrapping a new ResourceSparseApplyAdadelta operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Factory method to create a class wrapping a new ResourceApplyAdagradDA operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Factory method to create a class wrapping a new ResourceApplyRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Factory method to create a class wrapping a new ResourceSparseApplyRMSProp operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Factory method to create a class wrapping a new ResourceApplyAdaMax operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Factory method to create a class wrapping a new ResourceApplyFtrlV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Factory method to create a class wrapping a new ResourceApplyAdam operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Factory method to create a class wrapping a new TensorListScatterIntoExistingList operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Factory method to create a class wrapping a new MultiDeviceIteratorInit operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.ReaderReadUpTo: Factory method to create a class wrapping a new ReaderReadUpToV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArraySplit: Factory method to create a class wrapping a new TensorArraySplitV3 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Factory method to create a class wrapping a new ExperimentalSetStatsAggregatorDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Factory method to create a class wrapping a new SetStatsAggregatorDataset operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: Factory method to create a class wrapping a new SparseMatrixAdd operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Factory method to create a class wrapping a new ResourceSparseApplyKerasMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Factory method to create a class wrapping a new ResourceSparseApplyMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Factory method to create a class wrapping a new ResourceApplyKerasMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Factory method to create a class wrapping a new ResourceApplyMomentum operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Factory method to create a class wrapping a new ResourceSparseApplyAdagradV2 operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Factory method to create a class wrapping a new ResourceSparseApplyProximalAdagrad operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Factory method to create a class wrapping a new ResourceApplyAddSign operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Factory method to create a class wrapping a new ResourceApplyPowerSign operation.
create(Scope, Operand<? extends TType>, Operand<? extends TType>, Operand) - Static method in class org.tensorflow.op.core.LookupTableFind: Factory method to create a class wrapping a new LookupTableFindV2 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArraySize: Factory method to create a class wrapping a new TensorArraySizeV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Class<T>, TensorArrayConcat.Options...) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Factory method to create a class wrapping a new TensorArrayConcatV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, String) - Static method in class org.tensorflow.op.core.TensorArrayGrad: Factory method to create a class wrapping a new TensorArrayGradV3 operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TInt32>, String) - Static method in class org.tensorflow.op.core.TensorArrayGradWithShape: Factory method to create a class wrapping a new TensorArrayGradWithShape operation.
create(Scope, Operand<? extends TType>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SamplingDataset: Factory method to create a class wrapping a new SamplingDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListResize: Factory method to create a class wrapping a new TensorListResize operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListPopBack: Factory method to create a class wrapping a new TensorListPopBack operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Factory method to create a class wrapping a new CSRSparseMatrixComponents operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Factory method to create a class wrapping a new SparseMatrixSparseCholesky operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: Factory method to create a class wrapping a new ResourceAccumulatorTakeGradient operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class<T>, TensorListStack.Options...) - Static method in class org.tensorflow.op.core.TensorListStack: Factory method to create a class wrapping a new TensorListStack operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft: Factory method to create a class wrapping a new IRFFT operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft2d: Factory method to create a class wrapping a new IRFFT2D operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.Irfft3d: Factory method to create a class wrapping a new IRFFT3D operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueMany.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Factory method to create a class wrapping a new QueueDequeueManyV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueUpTo.Options...) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Factory method to create a class wrapping a new QueueDequeueUpToV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.TensorListScatter: Factory method to create a class wrapping a new TensorListScatterV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.RngReadAndSkip: Factory method to create a class wrapping a new RngReadAndSkip operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, TensorListSetItem.Options...) - Static method in class org.tensorflow.op.core.TensorListSetItem: Factory method to create a class wrapping a new TensorListSetItem operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayScatter: Factory method to create a class wrapping a new TensorArrayScatterV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayWrite: Factory method to create a class wrapping a new TensorArrayWriteV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorArrayRead: Factory method to create a class wrapping a new TensorArrayReadV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>, TensorArrayGather.Options...) - Static method in class org.tensorflow.op.core.TensorArrayGather: Factory method to create a class wrapping a new TensorArrayGatherV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.IrfftNd: Factory method to create a class wrapping a new IRFFTND operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGather: Factory method to create a class wrapping a new TensorListGather operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.core.TensorListGetItem: Factory method to create a class wrapping a new TensorListGetItem operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.signal.IrfftNd: Factory method to create a class wrapping a new IRFFTND operation.
create(Scope, Operand<? extends TType>, Operand<TInt32>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: Factory method to create a class wrapping a new MultiDeviceIteratorGetNextFromShard operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Factory method to create a class wrapping a new DenseToCSRSparseMatrix operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: Factory method to create a class wrapping a new ResourceAccumulatorSetGlobalStep operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Factory method to create a class wrapping a new ParseExampleDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, ParseExampleDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Factory method to create a class wrapping a new ExperimentalParseExampleDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TBool>, List<Shape>, PaddedBatchDataset.Options...) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Factory method to create a class wrapping a new PaddedBatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.core.GetElementAtIndex: Factory method to create a class wrapping a new GetElementAtIndex operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AssertCardinalityDataset: Factory method to create a class wrapping a new AssertCardinalityDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new ExperimentalMaxIntraOpParallelismDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Factory method to create a class wrapping a new ExperimentalPrivateThreadPoolDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SleepDataset: Factory method to create a class wrapping a new ExperimentalSleepDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Factory method to create a class wrapping a new MaxIntraOpParallelismDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Factory method to create a class wrapping a new PrivateThreadPoolDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SleepDataset: Factory method to create a class wrapping a new SleepDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RebatchDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, PrefetchDataset.Options...) - Static method in class org.tensorflow.op.data.PrefetchDataset: Factory method to create a class wrapping a new PrefetchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RepeatDataset.Options...) - Static method in class org.tensorflow.op.data.RepeatDataset: Factory method to create a class wrapping a new RepeatDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SkipDataset.Options...) - Static method in class org.tensorflow.op.data.SkipDataset: Factory method to create a class wrapping a new SkipDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, TakeDataset.Options...) - Static method in class org.tensorflow.op.data.TakeDataset: Factory method to create a class wrapping a new TakeDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand, Class<V>) - Static method in class org.tensorflow.op.random.StatefulRandomBinomial: Factory method to create a class wrapping a new StatefulRandomBinomial operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation, with the default output types.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: Factory method to create a class wrapping a new ResourceAccumulatorApplyGradient operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulStandardNormal: Factory method to create a class wrapping a new StatefulStandardNormalV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulTruncatedNormal: Factory method to create a class wrapping a new StatefulTruncatedNormal operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulUniform: Factory method to create a class wrapping a new StatefulUniform operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Static method in class org.tensorflow.op.random.StatefulUniformFullInt: Factory method to create a class wrapping a new StatefulUniformFullInt operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteSummary: Factory method to create a class wrapping a new WriteSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand, Operand) - Static method in class org.tensorflow.op.random.StatefulUniformInt: Factory method to create a class wrapping a new StatefulUniformInt operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.RebatchDatasetV2: Factory method to create a class wrapping a new RebatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, BatchDataset.Options...) - Static method in class org.tensorflow.op.data.BatchDataset: Factory method to create a class wrapping a new BatchDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.random.RngSkip: Factory method to create a class wrapping a new RngSkip operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Iterable<Operand<?>>, Long, List<ConcreteFunction>, List<Long>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Factory method to create a class wrapping a new ChooseFastestBranchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.AutoShardDataset: Factory method to create a class wrapping a new AutoShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, AutoShardDataset.Options...) - Static method in class org.tensorflow.op.data.experimental.AutoShardDataset: Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, ShardDataset.Options...) - Static method in class org.tensorflow.op.data.ShardDataset: Factory method to create a class wrapping a new ShardDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, ParallelBatchDataset.Options...) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Factory method to create a class wrapping a new ParallelBatchDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Factory method to create a class wrapping a new ExperimentalSlidingWindowDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SlidingWindowDataset.Options...) - Static method in class org.tensorflow.op.data.SlidingWindowDataset: Factory method to create a class wrapping a new SlidingWindowDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleDataset: Factory method to create a class wrapping a new ShuffleDatasetV3 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, WindowDataset.Options...) - Static method in class org.tensorflow.op.data.WindowDataset: Factory method to create a class wrapping a new WindowDataset operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleAndRepeatDataset.Options...) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Factory method to create a class wrapping a new ShuffleAndRepeatDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteGraphSummary: Factory method to create a class wrapping a new WriteGraphSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Static method in class org.tensorflow.op.summary.WriteRawProtoSummary: Factory method to create a class wrapping a new WriteRawProtoSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.WriteScalarSummary: Factory method to create a class wrapping a new WriteScalarSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>, Operand<TUint8>, WriteImageSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Factory method to create a class wrapping a new WriteImageSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TType>) - Static method in class org.tensorflow.op.summary.WriteHistogramSummary: Factory method to create a class wrapping a new WriteHistogramSummary operation.
create(Scope, Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, WriteAudioSummary.Options...) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Factory method to create a class wrapping a new WriteAudioSummary operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.core.Fingerprint: Factory method to create a class wrapping a new Fingerprint operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.io.ReaderRestoreState: Factory method to create a class wrapping a new ReaderRestoreStateV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.summary.ImportEvent: Factory method to create a class wrapping a new ImportEvent operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Static method in class org.tensorflow.op.data.SnapshotDataset: Factory method to create a class wrapping a new SnapshotDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, SaveDataset.Options...) - Static method in class org.tensorflow.op.data.SaveDataset: Factory method to create a class wrapping a new SaveDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Long, Long, InitializeTableFromTextFile.Options...) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Factory method to create a class wrapping a new InitializeTableFromTextFileV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AssertNextDataset: Factory method to create a class wrapping a new AssertNextDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.AssertPrevDataset: Factory method to create a class wrapping a new AssertPrevDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.BytesProducedStatsDataset: Factory method to create a class wrapping a new BytesProducedStatsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.AssertNextDataset: Factory method to create a class wrapping a new ExperimentalAssertNextDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Factory method to create a class wrapping a new ExperimentalBytesProducedStatsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Factory method to create a class wrapping a new ExperimentalLatencyStatsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.LatencyStatsDataset: Factory method to create a class wrapping a new LatencyStatsDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.RewriteDataset: Factory method to create a class wrapping a new RewriteDataset operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, CacheDataset.Options...) - Static method in class org.tensorflow.op.data.CacheDataset: Factory method to create a class wrapping a new CacheDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TString>) - Static method in class org.tensorflow.op.summary.CreateSummaryFileWriter: Factory method to create a class wrapping a new CreateSummaryFileWriter operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.data.DatasetToTfRecord: Factory method to create a class wrapping a new DatasetToTFRecord operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.data.experimental.DatasetToTFRecord: Factory method to create a class wrapping a new ExperimentalDatasetToTFRecord operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Long, RegisterDataset.Options...) - Static method in class org.tensorflow.op.data.RegisterDataset: Factory method to create a class wrapping a new RegisterDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, DistributedSave.Options...) - Static method in class org.tensorflow.op.train.DistributedSave: Factory method to create a class wrapping a new DistributedSave operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>, OptimizeDataset.Options...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Factory method to create a class wrapping a new OptimizeDatasetV2 operation.
create(Scope, Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.summary.CreateSummaryDbWriter: Factory method to create a class wrapping a new CreateSummaryDbWriter operation.
create(Scope, Operand<? extends TType>, Operand<T>, StackPush.Options...) - Static method in class org.tensorflow.op.core.StackPush: Factory method to create a class wrapping a new StackPushV2 operation.
create(Scope, Operand<? extends TType>, Operand<T>, SparseMatrixMatMul.Options...) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Factory method to create a class wrapping a new SparseMatrixMatMul operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, ResourceStridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Factory method to create a class wrapping a new ResourceStridedSliceAssign operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceApplyProximalGradientDescent operation.
create(Scope, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Factory method to create a class wrapping a new ResourceSparseApplyProximalGradientDescent operation.
create(Scope, Operand<TBool>) - Static method in class org.tensorflow.op.core.LoopCond: Factory method to create a class wrapping a new LoopCond operation.
create(Scope, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalNot: Factory method to create a class wrapping a new LogicalNot operation.
create(Scope, Operand<TBool>, Iterable<Operand<?>>, AssertThat.Options...) - Static method in class org.tensorflow.op.core.AssertThat: Factory method to create a class wrapping a new Assert operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, All.Options...) - Static method in class org.tensorflow.op.core.All: Factory method to create a class wrapping a new All operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, Any.Options...) - Static method in class org.tensorflow.op.core.Any: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, ReduceAll.Options...) - Static method in class org.tensorflow.op.core.ReduceAll: Factory method to create a class wrapping a new All operation.
create(Scope, Operand<TBool>, Operand<? extends TNumber>, ReduceAny.Options...) - Static method in class org.tensorflow.op.core.ReduceAny: Factory method to create a class wrapping a new Any operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalAnd: Factory method to create a class wrapping a new LogicalAnd operation.
create(Scope, Operand<TBool>, Operand<TBool>) - Static method in class org.tensorflow.op.math.LogicalOr: Factory method to create a class wrapping a new LogicalOr operation.
create(Scope, Operand<TBool>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Select: Factory method to create a class wrapping a new SelectV2 operation.
create(Scope, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.MakeUnique: Factory method to create a class wrapping a new MakeUnique operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.KthOrderStatistic: Factory method to create a class wrapping a new KthOrderStatistic operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.TopKUnique: Factory method to create a class wrapping a new TopKUnique operation.
create(Scope, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.core.TopKWithUnique: Factory method to create a class wrapping a new TopKWithUnique operation.
create(Scope, Operand<TFloat32>, Long, Long, AudioSpectrogram.Options...) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Factory method to create a class wrapping a new AudioSpectrogram operation.
create(Scope, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingStochasticGradientDescentParameters operation.
create(Scope, Operand<TFloat32>, FakeQuantWithMinMaxArgs.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.
create(Scope, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, CropAndResizeGradBoxes.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Factory method to create a class wrapping a new CropAndResizeGradBoxes operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Static method in class org.tensorflow.op.tpu.EmbeddingActivations: Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Static method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Factory method to create a class wrapping a new TPUEmbeddingActivations operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFrequencyEstimatorParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFrequencyEstimatorParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMomentumParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalAdagradParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxArgsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxArgsGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<T>, Quantize.Options...) - Static method in class org.tensorflow.op.quantization.Quantize: Factory method to create a class wrapping a new QuantizeV2 operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdadeltaParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradMomentumParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingAdagradMomentumParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingADAMParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingFTRLParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalYogiParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingProximalYogiParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingRMSPropParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVars.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Factory method to create a class wrapping a new FakeQuantWithMinMaxVars operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannel operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingCenteredRMSPropParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Factory method to create a class wrapping a new LoadTPUEmbeddingMDLAdagradLightParameters operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsPerChannelGradient operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, GenerateBoundingBoxProposals.Options...) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Factory method to create a class wrapping a new GenerateBoundingBoxProposals operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean, Float) - Static method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Factory method to create a class wrapping a new XlaSparseCoreFtrl operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Factory method to create a class wrapping a new NonMaxSuppressionWithOverlaps operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Class<T>, CropAndResizeGradImage.Options...) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Factory method to create a class wrapping a new CropAndResizeGradImage operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, List<Long>, Long) - Static method in class org.tensorflow.op.train.NegTrain: Factory method to create a class wrapping a new NegTrain operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, CombinedNonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Factory method to create a class wrapping a new CombinedNonMaxSuppression operation.
create(Scope, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt64>) - Static method in class org.tensorflow.op.image.NearestNeighbors: Factory method to create a class wrapping a new NearestNeighbors operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>) - Static method in class org.tensorflow.op.audio.EncodeWav: Factory method to create a class wrapping a new EncodeWav operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>, Mfcc.Options...) - Static method in class org.tensorflow.op.audio.Mfcc: Factory method to create a class wrapping a new Mfcc operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, ExtractGlimpse.Options...) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Factory method to create a class wrapping a new ExtractGlimpseV2 operation.
create(Scope, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Factory method to create a class wrapping a new XlaSparseCoreAdam operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>) - Static method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Factory method to create a class wrapping a new KMC2ChainInitialization operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CTCLossV2.Options...) - Static method in class org.tensorflow.op.nn.CTCLossV2: Factory method to create a class wrapping a new CTCLossV2 operation.
create(Scope, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.
create(Scope, Operand<TFloat32>, Operand<T>, ResizeBicubicGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Factory method to create a class wrapping a new ResizeBicubicGrad operation.
create(Scope, Operand<TFloat32>, Operand<T>, ResizeBilinearGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Factory method to create a class wrapping a new ResizeBilinearGrad operation.
create(Scope, Operand<TFloat32>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InTopK: Factory method to create a class wrapping a new InTopKV2 operation.
create(Scope, Operand<TInt32>) - Static method in class org.tensorflow.op.strings.UnicodeScript: Factory method to create a class wrapping a new UnicodeScript operation.
create(Scope, Operand<TInt32>, Class<T>, Shape) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Factory method to create a class wrapping a new OutfeedDequeueV2 operation.
create(Scope, Operand<TInt32>, Class<T>, Empty.Options...) - Static method in class org.tensorflow.op.core.Empty: Factory method to create a class wrapping a new Empty operation.
create(Scope, Operand<TInt32>, Class<T>, StackCreate.Options...) - Static method in class org.tensorflow.op.core.StackCreate: Factory method to create a class wrapping a new StackV2 operation.
create(Scope, Operand<TInt32>, Class<T>, TensorArray.Options...) - Static method in class org.tensorflow.op.core.TensorArray: Factory method to create a class wrapping a new TensorArrayV3 operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in interface org.tensorflow.op.core.Case: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in class org.tensorflow.op.core.StatefulCase: Factory method to create a class wrapping a new Case operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Static method in class org.tensorflow.op.core.StatelessCase: Factory method to create a class wrapping a new StatelessCase operation.
create(Scope, Operand<TInt32>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Static method in class org.tensorflow.op.core.EncodeProto: Factory method to create a class wrapping a new EncodeProto operation.
create(Scope, Operand<TInt32>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.ConcatOffset: Factory method to create a class wrapping a new ConcatOffset operation.
create(Scope, Operand<TInt32>, Iterable<Operand<T>>) - Static method in class org.tensorflow.op.core.RefSelect: Factory method to create a class wrapping a new RefSelect operation.
create(Scope, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>) - Static method in class org.tensorflow.op.quantization.QuantizedConcat: Factory method to create a class wrapping a new QuantizedConcat operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Factory method to create a class wrapping a new OutfeedDequeueTupleV2 operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, MapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Factory method to create a class wrapping a new MapUnstageNoKey operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstageNoKey.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Factory method to create a class wrapping a new OrderedMapUnstageNoKey operation.
create(Scope, Operand<TInt32>, List<Class<? extends TType>>, StagePeek.Options...) - Static method in class org.tensorflow.op.core.StagePeek: Factory method to create a class wrapping a new StagePeek operation.
create(Scope, Operand<TInt32>, Operand<? extends TNumber>, String, UnicodeEncode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Factory method to create a class wrapping a new UnicodeEncode operation.
create(Scope, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>, Operand<? extends TType>, Operand<TFloat32>, Long, Long, Long) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Factory method to create a class wrapping a new XlaSparseDenseMatmul operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.xla.XlaSparseCoreSgd: Factory method to create a class wrapping a new XlaSparseCoreSgd operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Factory method to create a class wrapping a new XlaSparseCoreAdagrad operation.
create(Scope, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean, Float, Float) - Static method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Factory method to create a class wrapping a new XlaSparseCoreAdagradMomentum operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Long, String) - Static method in class org.tensorflow.op.tpu.ConvertToCooTensor: Factory method to create a class wrapping a new ConvertToCooTensor operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.collective.CollectiveAssignGroup: Factory method to create a class wrapping a new CollectiveAssignGroupV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation, with the default output types.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.math.SobolSample: Factory method to create a class wrapping a new SobolSample operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class, Class<T>, CudnnRnnParamsSize.Options...) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Factory method to create a class wrapping a new CudnnRNNParamsSize operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<?>>, ConcreteFunction) - Static method in class org.tensorflow.op.core.For: Factory method to create a class wrapping a new For operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Factory method to create a class wrapping a new CudnnRNNCanonicalToParamsV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveInitializeCommunicator.Options...) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Factory method to create a class wrapping a new CollectiveInitializeCommunicator operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<? extends TNumber>, Class, CollectiveBcastRecv.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Factory method to create a class wrapping a new CollectiveBcastRecvV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdamAndCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, String, XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, String, XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options...) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulGradWithSgdAndCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Long, Float, Float, Long, String) - Static method in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: Factory method to create a class wrapping a new XlaSparseDenseMatmulWithCsrInput operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, Long, Long, CudnnRNNParamsToCanonical.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Factory method to create a class wrapping a new CudnnRNNParamsToCanonicalV2 operation.
create(Scope, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.math.Bincount: Factory method to create a class wrapping a new Bincount operation.
create(Scope, Operand<TInt32>, Operand<T>, Long) - Static method in class org.tensorflow.op.core.Split: Factory method to create a class wrapping a new Split operation.
create(Scope, Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Factory method to create a class wrapping a new AvgPool3DGrad operation.
create(Scope, Operand<TInt32>, Operand<T>, List<Long>, List<Long>, String, AvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Factory method to create a class wrapping a new AvgPoolGrad operation.
create(Scope, Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Factory method to create a class wrapping a new Conv2DBackpropInput operation.
create(Scope, Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropInput operation.
create(Scope, Operand<TInt64>) - Static method in class org.tensorflow.op.tpu.TpuHandleToProtoKey: Factory method to create a class wrapping a new TpuHandleToProtoKey operation.
create(Scope, Operand<TInt64>, Class<T>) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Factory method to create a class wrapping a new SparseMatrixZeros operation.
create(Scope, Operand<TInt64>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Factory method to create a class wrapping a new TakeManySparseFromTensorsMap operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Factory method to create a class wrapping a new FixedUnigramCandidateSampler operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Factory method to create a class wrapping a new LearnedUnigramCandidateSampler operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Factory method to create a class wrapping a new LogUniformCandidateSampler operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, ThreadUnsafeUnigramCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Factory method to create a class wrapping a new ThreadUnsafeUnigramCandidateSampler operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Factory method to create a class wrapping a new UniformCandidateSampler operation.
create(Scope, Operand<TInt64>, Long, Long, Boolean, AllCandidateSampler.Options...) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Factory method to create a class wrapping a new AllCandidateSampler operation.
create(Scope, Operand<TInt64>, Operand<? extends TNumber>, Operand<TInt64>, Operand, Boolean, SparseCountSparseOutput.Options...) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Factory method to create a class wrapping a new SparseCountSparseOutput operation.
create(Scope, Operand<TInt64>, Operand<? extends TNumber>, Operand, Boolean, RaggedCountSparseOutput.Options...) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Factory method to create a class wrapping a new RaggedCountSparseOutput operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.data.SparseTensorSliceDataset: Factory method to create a class wrapping a new SparseTensorSliceDataset operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation, with the default output types.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation, with the default output types.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Factory method to create a class wrapping a new SparseTensorToCSRSparseMatrix operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.io.SerializeManySparse: Factory method to create a class wrapping a new SerializeManySparse operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Static method in class org.tensorflow.op.io.SerializeSparse: Factory method to create a class wrapping a new SerializeSparse operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, SetSize.Options...) - Static method in class org.tensorflow.op.core.SetSize: Factory method to create a class wrapping a new SetSize operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddManySparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Factory method to create a class wrapping a new AddManySparseToTensorsMap operation.
create(Scope, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, AddSparseToTensorsMap.Options...) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Factory method to create a class wrapping a new AddSparseToTensorsMap operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, MapStage.Options...) - Static method in class org.tensorflow.op.core.MapStage: Factory method to create a class wrapping a new MapStage operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, OrderedMapStage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapStage: Factory method to create a class wrapping a new OrderedMapStage operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapPeek.Options...) - Static method in class org.tensorflow.op.core.MapPeek: Factory method to create a class wrapping a new MapPeek operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapUnstage.Options...) - Static method in class org.tensorflow.op.core.MapUnstage: Factory method to create a class wrapping a new MapUnstage operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapPeek.Options...) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Factory method to create a class wrapping a new OrderedMapPeek operation.
create(Scope, Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstage.Options...) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Factory method to create a class wrapping a new OrderedMapUnstage operation.
create(Scope, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Factory method to create a class wrapping a new AnonymousRandomSeedGenerator operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Long, ComputeAccidentalHits.Options...) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Factory method to create a class wrapping a new ComputeAccidentalHits operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.RandomDataset: Factory method to create a class wrapping a new ExperimentalRandomDataset operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, RandomDataset.Options...) - Static method in class org.tensorflow.op.data.RandomDataset: Factory method to create a class wrapping a new RandomDatasetV2 operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TBool>) - Static method in class org.tensorflow.op.random.AnonymousSeedGenerator: Factory method to create a class wrapping a new AnonymousSeedGenerator operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseReshape: Factory method to create a class wrapping a new SparseReshape operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RangeDataset.Options...) - Static method in class org.tensorflow.op.data.RangeDataset: Factory method to create a class wrapping a new RangeDataset operation.
create(Scope, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Long) - Static method in class org.tensorflow.op.sparse.SparseSplit: Factory method to create a class wrapping a new SparseSplit operation.
create(Scope, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Factory method to create a class wrapping a new RaggedFillEmptyRowsGrad operation.
create(Scope, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Factory method to create a class wrapping a new SparseFillEmptyRowsGrad operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseReorder: Factory method to create a class wrapping a new SparseReorder operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSoftmax: Factory method to create a class wrapping a new SparseSoftmax operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMax.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Factory method to create a class wrapping a new SparseReduceMax operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMaxSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Factory method to create a class wrapping a new SparseReduceMaxSparse operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Factory method to create a class wrapping a new SparseReduceSum operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSumSparse.Options...) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Factory method to create a class wrapping a new SparseReduceSumSparse operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalAvgPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Factory method to create a class wrapping a new FractionalAvgPoolGrad operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSlice: Factory method to create a class wrapping a new SparseSlice operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSparseMaximum: Factory method to create a class wrapping a new SparseSparseMaximum operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSparseMinimum: Factory method to create a class wrapping a new SparseSparseMinimum operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, SparseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Factory method to create a class wrapping a new SparseToSparseSetOperation operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, EditDistance.Options...) - Static method in class org.tensorflow.op.core.EditDistance: Factory method to create a class wrapping a new EditDistance operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.sparse.SparseAdd: Factory method to create a class wrapping a new SparseAdd operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Factory method to create a class wrapping a new RaggedFillEmptyRows operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Factory method to create a class wrapping a new SparseDenseCwiseAdd operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Factory method to create a class wrapping a new SparseDenseCwiseDiv operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Factory method to create a class wrapping a new SparseDenseCwiseMul operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Static method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Factory method to create a class wrapping a new SparseFillEmptyRows operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>, Operand, SparseBincount.Options...) - Static method in class org.tensorflow.op.sparse.SparseBincount: Factory method to create a class wrapping a new SparseBincount operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, BlockLSTM.Options...) - Static method in class org.tensorflow.op.nn.BlockLSTM: Factory method to create a class wrapping a new BlockLSTMV2 operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTMGrad: Factory method to create a class wrapping a new BlockLSTMGradV2 operation.
create(Scope, Operand<TInt64>, Operand<T>, Operand<T>, Operand, RaggedBincount.Options...) - Static method in class org.tensorflow.op.ragged.RaggedBincount: Factory method to create a class wrapping a new RaggedBincount operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.BarrierIncompleteSize: Factory method to create a class wrapping a new BarrierIncompleteSize operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.BarrierReadySize: Factory method to create a class wrapping a new BarrierReadySize operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.core.DeleteSessionTensor: Factory method to create a class wrapping a new DeleteSessionTensor operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.DatasetFromGraph: Factory method to create a class wrapping a new DatasetFromGraph operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Factory method to create a class wrapping a new ExperimentalMatchingFilesDataset operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.data.MatchingFilesDataset: Factory method to create a class wrapping a new MatchingFilesDataset operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.image.DecodeGif: Factory method to create a class wrapping a new DecodeGif operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation, with the default output types.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.DecodeBase64: Factory method to create a class wrapping a new DecodeBase64 operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.DecodeJsonExample: Factory method to create a class wrapping a new DecodeJSONExample operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.MatchingFiles: Factory method to create a class wrapping a new MatchingFiles operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.io.ReadFile: Factory method to create a class wrapping a new ReadFile operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.strings.Strip: Factory method to create a class wrapping a new StringStrip operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation, with the default output types.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.tpu.CompileSucceededAssert: Factory method to create a class wrapping a new TPUCompileSucceededAssert operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: Factory method to create a class wrapping a new ConfigureTPUEmbeddingMemory operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.tpu.WorkerHeartbeat: Factory method to create a class wrapping a new WorkerHeartbeat operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Factory method to create a class wrapping a new AccumulatorNumAccumulated operation.
create(Scope, Operand<TString>) - Static method in class org.tensorflow.op.train.SdcaFprint: Factory method to create a class wrapping a new SdcaFprint operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.core.GetSessionTensor: Factory method to create a class wrapping a new GetSessionTensor operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.image.ExtractJpegShape: Factory method to create a class wrapping a new ExtractJpegShape operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.io.DeserializeManySparse: Factory method to create a class wrapping a new DeserializeManySparse operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.io.ParseTensor: Factory method to create a class wrapping a new ParseTensor operation.
create(Scope, Operand<TString>, Class<T>) - Static method in class org.tensorflow.op.strings.ToNumber: Factory method to create a class wrapping a new StringToNumber operation.
create(Scope, Operand<TString>, Class<T>, DecodeImage.Options...) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation.
create(Scope, Operand<TString>, Class<T>, DecodePng.Options...) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation.
create(Scope, Operand<TString>, Class<T>, DecodeRaw.Options...) - Static method in class org.tensorflow.op.io.DecodeRaw: Factory method to create a class wrapping a new DecodeRaw operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleExample: Factory method to create a class wrapping a new ParseSingleExample operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, LoadDataset.Options...) - Static method in class org.tensorflow.op.data.LoadDataset: Factory method to create a class wrapping a new LoadDataset operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Static method in class org.tensorflow.op.core.RemoteCall: Factory method to create a class wrapping a new RemoteCall operation.
create(Scope, Operand<TString>, Iterable<Operand<?>>, DecodeCsv.Options...) - Static method in class org.tensorflow.op.io.DecodeCsv: Factory method to create a class wrapping a new DecodeCSV operation.
create(Scope, Operand<TString>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucket: Factory method to create a class wrapping a new StringToHashBucket operation.
create(Scope, Operand<TString>, Long) - Static method in class org.tensorflow.op.strings.ToHashBucketFast: Factory method to create a class wrapping a new StringToHashBucketFast operation.
create(Scope, Operand<TString>, Long, List<Long>) - Static method in class org.tensorflow.op.strings.ToHashBucketStrong: Factory method to create a class wrapping a new StringToHashBucketStrong operation.
create(Scope, Operand<TString>, String) - Static method in class org.tensorflow.op.strings.StaticRegexFullMatch: Factory method to create a class wrapping a new StaticRegexFullMatch operation.
create(Scope, Operand<TString>, String, Class<T>, UnicodeDecode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation.
create(Scope, Operand<TString>, String, Class<T>, UnicodeDecodeWithOffsets.Options...) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation.
create(Scope, Operand<TString>, String, String, StaticRegexReplace.Options...) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Factory method to create a class wrapping a new StaticRegexReplace operation.
create(Scope, Operand<TString>, String, String, UnicodeTranscode.Options...) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Factory method to create a class wrapping a new UnicodeTranscode operation.
create(Scope, Operand<TString>, String, List<String>, List<Class<? extends TType>>, DecodeProto.Options...) - Static method in class org.tensorflow.op.core.DecodeProto: Factory method to create a class wrapping a new DecodeProtoV2 operation.
create(Scope, Operand<TString>, String, UnicodeDecode.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Factory method to create a class wrapping a new UnicodeDecode operation, with the default output types.
create(Scope, Operand<TString>, String, UnicodeDecodeWithOffsets.Options[]) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Factory method to create a class wrapping a new UnicodeDecodeWithOffsets operation, with the default output types.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.LmdbDataset: Factory method to create a class wrapping a new ExperimentalLMDBDataset operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.ListSnapshotChunksDataset: Factory method to create a class wrapping a new ListSnapshotChunksDataset operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.LMDBDataset: Factory method to create a class wrapping a new LMDBDataset operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, List<Shape>, SnapshotChunkDataset.Options...) - Static method in class org.tensorflow.op.data.SnapshotChunkDataset: Factory method to create a class wrapping a new SnapshotChunkDataset operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, IteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Factory method to create a class wrapping a new IteratorFromStringHandleV2 operation.
create(Scope, Operand<TString>, List<Class<? extends TType>>, MultiDeviceIteratorFromStringHandle.Options...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Factory method to create a class wrapping a new MultiDeviceIteratorFromStringHandle operation.
create(Scope, Operand<TString>, DecodeWav.Options...) - Static method in class org.tensorflow.op.audio.DecodeWav: Factory method to create a class wrapping a new DecodeWav operation.
create(Scope, Operand<TString>, BarrierClose.Options...) - Static method in class org.tensorflow.op.core.BarrierClose: Factory method to create a class wrapping a new BarrierClose operation.
create(Scope, Operand<TString>, Print.Options...) - Static method in class org.tensorflow.op.core.Print: Factory method to create a class wrapping a new PrintV2 operation.
create(Scope, Operand<TString>, DecodeBmp.Options...) - Static method in class org.tensorflow.op.image.DecodeBmp: Factory method to create a class wrapping a new DecodeBmp operation.
create(Scope, Operand<TString>, DecodeImage.Options[]) - Static method in class org.tensorflow.op.image.DecodeImage: Factory method to create a class wrapping a new DecodeImage operation, with the default output types.
create(Scope, Operand<TString>, DecodeJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeJpeg: Factory method to create a class wrapping a new DecodeJpeg operation.
create(Scope, Operand<TString>, DecodePng.Options[]) - Static method in class org.tensorflow.op.image.DecodePng: Factory method to create a class wrapping a new DecodePng operation, with the default output types.
create(Scope, Operand<TString>, DecodeCompressed.Options...) - Static method in class org.tensorflow.op.io.DecodeCompressed: Factory method to create a class wrapping a new DecodeCompressed operation.
create(Scope, Operand<TString>, EncodeBase64.Options...) - Static method in class org.tensorflow.op.io.EncodeBase64: Factory method to create a class wrapping a new EncodeBase64 operation.
create(Scope, Operand<TString>, Lower.Options...) - Static method in class org.tensorflow.op.strings.Lower: Factory method to create a class wrapping a new StringLower operation.
create(Scope, Operand<TString>, StringLength.Options...) - Static method in class org.tensorflow.op.strings.StringLength: Factory method to create a class wrapping a new StringLength operation.
create(Scope, Operand<TString>, Upper.Options...) - Static method in class org.tensorflow.op.strings.Upper: Factory method to create a class wrapping a new StringUpper operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.HistogramSummary: Factory method to create a class wrapping a new HistogramSummary operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.summary.ScalarSummary: Factory method to create a class wrapping a new ScalarSummary operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>, ImageSummary.Options...) - Static method in class org.tensorflow.op.summary.ImageSummary: Factory method to create a class wrapping a new ImageSummary operation.
create(Scope, Operand<TString>, Operand<? extends TNumber>, Operand<? extends TNumber>, UnsortedSegmentJoin.Options...) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Factory method to create a class wrapping a new UnsortedSegmentJoin operation.
create(Scope, Operand<TString>, Operand<? extends TType>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.TensorArrayUnpack: Factory method to create a class wrapping a new TensorArrayUnpack operation.
create(Scope, Operand<TString>, Operand<? extends TType>, Operand<TString>) - Static method in class org.tensorflow.op.summary.TensorSummary: Factory method to create a class wrapping a new TensorSummaryV2 operation.
create(Scope, Operand<TString>, Operand<TFloat32>, Class<T>, TensorArrayPack.Options...) - Static method in class org.tensorflow.op.core.TensorArrayPack: Factory method to create a class wrapping a new TensorArrayPack operation.
create(Scope, Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, AudioSummary.Options...) - Static method in class org.tensorflow.op.summary.AudioSummary: Factory method to create a class wrapping a new AudioSummaryV2 operation.
create(Scope, Operand<TString>, Operand<TInt32>) - Static method in class org.tensorflow.op.io.ShardedFilespec: Factory method to create a class wrapping a new ShardedFilespec operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Factory method to create a class wrapping a new SparseAccumulatorTakeGradient operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>) - Static method in class org.tensorflow.op.train.AccumulatorTakeGradient: Factory method to create a class wrapping a new AccumulatorTakeGradient operation.
create(Scope, Operand<TString>, Operand<TInt32>, Class<T>, DecodePaddedRaw.Options...) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Factory method to create a class wrapping a new DecodePaddedRaw operation.
create(Scope, Operand<TString>, Operand<TInt32>, List<Class<? extends TType>>, BarrierTakeMany.Options...) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Factory method to create a class wrapping a new BarrierTakeMany operation.
create(Scope, Operand<TString>, Operand<TInt32>, DecodeAndCropJpeg.Options...) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Factory method to create a class wrapping a new DecodeAndCropJpeg operation.
create(Scope, Operand<TString>, Operand<TInt32>, ReduceJoin.Options...) - Static method in class org.tensorflow.op.strings.ReduceJoin: Factory method to create a class wrapping a new ReduceJoin operation.
create(Scope, Operand<TString>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.io.ShardedFilename: Factory method to create a class wrapping a new ShardedFilename operation.
create(Scope, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo: Factory method to create a class wrapping a new StoreMinibatchStatisticsInFdo operation.
create(Scope, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Long, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Factory method to create a class wrapping a new GetMinibatchSplitsWithPhysicalReplica operation.
create(Scope, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt32>, Long, Long, Long, Long, Long, Long, Long, String, String) - Static method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Factory method to create a class wrapping a new GetMinibatchesInCsrWithPhysicalReplica operation.
create(Scope, Operand<TString>, Operand<TInt64>) - Static method in class org.tensorflow.op.train.AccumulatorSetGlobalStep: Factory method to create a class wrapping a new AccumulatorSetGlobalStep operation.
create(Scope, Operand<TString>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, Long, SnapshotDatasetReader.Options...) - Static method in class org.tensorflow.op.data.SnapshotDatasetReader: Factory method to create a class wrapping a new SnapshotDatasetReader operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<? extends TType>) - Static method in class org.tensorflow.op.train.AccumulatorApplyGradient: Factory method to create a class wrapping a new AccumulatorApplyGradient operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Boolean) - Static method in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.
create(Scope, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TString>, FixedLengthRecordDataset.Options...) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Factory method to create a class wrapping a new FixedLengthRecordDatasetV2 operation.
create(Scope, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.io.WriteFile: Factory method to create a class wrapping a new WriteFile operation.
create(Scope, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.strings.RegexFullMatch: Factory method to create a class wrapping a new RegexFullMatch operation.
create(Scope, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: Factory method to create a class wrapping a new FinalizeTPUEmbedding operation.
create(Scope, Operand<TString>, Operand<TString>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, ParseSingleSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Factory method to create a class wrapping a new ParseSingleSequenceExample operation.
create(Scope, Operand<TString>, Operand<TString>, Long, Long, GenerateVocabRemapping.Options...) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Factory method to create a class wrapping a new GenerateVocabRemapping operation.
create(Scope, Operand<TString>, Operand<TString>, String) - Static method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: Factory method to create a class wrapping a new ConfigureTPUEmbeddingHost operation.
create(Scope, Operand<TString>, Operand<TString>, StringSplit.Options...) - Static method in class org.tensorflow.op.strings.StringSplit: Factory method to create a class wrapping a new StringSplitV2 operation.
create(Scope, Operand<TString>, Operand<TString>, MergeV2Checkpoints.Options...) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Factory method to create a class wrapping a new MergeV2Checkpoints operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<? extends TType>, Long) - Static method in class org.tensorflow.op.core.BarrierInsertMany: Factory method to create a class wrapping a new BarrierInsertMany operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, TextLineDataset.Options...) - Static method in class org.tensorflow.op.data.TextLineDataset: Factory method to create a class wrapping a new TextLineDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.CSVDataset: Factory method to create a class wrapping a new ExperimentalCSVDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, Operand<TInt64>, List<Shape>) - Static method in class org.tensorflow.op.data.CSVDataset: Factory method to create a class wrapping a new CSVDatasetV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, TfRecordDataset.Options...) - Static method in class org.tensorflow.op.data.TfRecordDataset: Factory method to create a class wrapping a new TFRecordDatasetV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TFloat32>, Long, Long, LoadAndRemapMatrix.Options...) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Factory method to create a class wrapping a new LoadAndRemapMatrix operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>) - Static method in class org.tensorflow.op.core.FileSystemSetConfiguration: Factory method to create a class wrapping a new FileSystemSetConfiguration operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Class<T>, RestoreSlice.Options...) - Static method in class org.tensorflow.op.train.RestoreSlice: Factory method to create a class wrapping a new RestoreSlice operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.Save: Factory method to create a class wrapping a new SaveV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Static method in class org.tensorflow.op.train.SaveSlices: Factory method to create a class wrapping a new SaveSlices operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.train.Restore: Factory method to create a class wrapping a new RestoreV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.experimental.SqlDataset: Factory method to create a class wrapping a new ExperimentalSqlDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Static method in class org.tensorflow.op.data.SqlDataset: Factory method to create a class wrapping a new SqlDataset operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, List<Shape>, List<String>, List<Class<? extends TType>>) - Static method in class org.tensorflow.op.tpu.DTensorRestore: Factory method to create a class wrapping a new DTensorRestoreV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, RegexReplace.Options...) - Static method in class org.tensorflow.op.strings.RegexReplace: Factory method to create a class wrapping a new RegexReplace operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>, Long, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Shape>) - Static method in class org.tensorflow.op.io.ParseExample: Factory method to create a class wrapping a new ParseExampleV2 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, DataServiceDataset.Options...) - Static method in class org.tensorflow.op.data.DataServiceDataset: Factory method to create a class wrapping a new DataServiceDatasetV4 operation.
create(Scope, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TBool>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseSequenceExample.Options...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Factory method to create a class wrapping a new ParseSequenceExampleV2 operation.
create(Scope, Operand<TString>, Operand<T>, String, List<Long>, String, String, Long, Boolean) - Static method in class org.tensorflow.op.strings.StringNGrams: Factory method to create a class wrapping a new StringNGrams operation.
create(Scope, Operand<TString>, Operand<T>, Operand<T>, Substr.Options...) - Static method in class org.tensorflow.op.strings.Substr: Factory method to create a class wrapping a new Substr operation.
create(Scope, Operand<TUint8>, EncodeJpeg.Options...) - Static method in class org.tensorflow.op.image.EncodeJpeg: Factory method to create a class wrapping a new EncodeJpeg operation.
create(Scope, Operand<TUint8>, Operand<TInt32>) - Static method in class org.tensorflow.op.image.EncodeJpegVariableQuality: Factory method to create a class wrapping a new EncodeJpegVariableQuality operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.bitwise.Invert: Factory method to create a class wrapping a new Invert operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.DeepCopy: Factory method to create a class wrapping a new DeepCopy operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Exit: Factory method to create a class wrapping a new Exit operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.GuaranteeConst: Factory method to create a class wrapping a new GuaranteeConst operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Identity: Factory method to create a class wrapping a new Identity operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.NextIteration: Factory method to create a class wrapping a new NextIteration operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.OnesLike: Factory method to create a class wrapping a new OnesLike operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefExit: Factory method to create a class wrapping a new RefExit operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefIdentity: Factory method to create a class wrapping a new RefIdentity operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.RefNextIteration: Factory method to create a class wrapping a new RefNextIteration operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Snapshot: Factory method to create a class wrapping a new Snapshot operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.StopGradient: Factory method to create a class wrapping a new StopGradient operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.ZerosLike: Factory method to create a class wrapping a new ZerosLike operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.debugging.DebugGradientIdentity: Factory method to create a class wrapping a new DebugGradientIdentity operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Factory method to create a class wrapping a new DebugGradientRefIdentity operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.HsvToRgb: Factory method to create a class wrapping a new HSVToRGB operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.image.RgbToHsv: Factory method to create a class wrapping a new RGBToHSV operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholesky: Factory method to create a class wrapping a new BatchCholesky operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Factory method to create a class wrapping a new BatchMatrixDeterminant operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiag: Factory method to create a class wrapping a new BatchMatrixDiag operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Factory method to create a class wrapping a new BatchMatrixDiagPart operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cholesky: Factory method to create a class wrapping a new Cholesky operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Det: Factory method to create a class wrapping a new MatrixDeterminant operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Factory method to create a class wrapping a new LogMatrixDeterminant operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation, with the default output types.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixExponential: Factory method to create a class wrapping a new MatrixExponential operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixLogarithm: Factory method to create a class wrapping a new MatrixLogarithm operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.Sqrtm: Factory method to create a class wrapping a new MatrixSquareRoot operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiag: Factory method to create a class wrapping a new Diag operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.linalg.TensorDiagPart: Factory method to create a class wrapping a new DiagPart operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Abs: Factory method to create a class wrapping a new Abs operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acos: Factory method to create a class wrapping a new Acos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Acosh: Factory method to create a class wrapping a new Acosh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asin: Factory method to create a class wrapping a new Asin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Asinh: Factory method to create a class wrapping a new Asinh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atan: Factory method to create a class wrapping a new Atan operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Atanh: Factory method to create a class wrapping a new Atanh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0: Factory method to create a class wrapping a new BesselI0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI0e: Factory method to create a class wrapping a new BesselI0e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1: Factory method to create a class wrapping a new BesselI1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.BesselI1e: Factory method to create a class wrapping a new BesselI1e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ceil: Factory method to create a class wrapping a new Ceil operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Conj: Factory method to create a class wrapping a new Conj operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cos: Factory method to create a class wrapping a new Cos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Cosh: Factory method to create a class wrapping a new Cosh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Digamma: Factory method to create a class wrapping a new Digamma operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erf: Factory method to create a class wrapping a new Erf operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Erfc: Factory method to create a class wrapping a new Erfc operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.erfinv: Factory method to create a class wrapping a new Erfinv operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Exp: Factory method to create a class wrapping a new Exp operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Expm1: Factory method to create a class wrapping a new Expm1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Floor: Factory method to create a class wrapping a new Floor operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.InvertPermutation: Factory method to create a class wrapping a new InvertPermutation operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Lgamma: Factory method to create a class wrapping a new Lgamma operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log: Factory method to create a class wrapping a new Log operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Log1p: Factory method to create a class wrapping a new Log1p operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Ndtri: Factory method to create a class wrapping a new Ndtri operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Neg: Factory method to create a class wrapping a new Neg operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Reciprocal: Factory method to create a class wrapping a new Reciprocal operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rint: Factory method to create a class wrapping a new Rint operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Round: Factory method to create a class wrapping a new Round operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Rsqrt: Factory method to create a class wrapping a new Rsqrt operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sigmoid: Factory method to create a class wrapping a new Sigmoid operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sign: Factory method to create a class wrapping a new Sign operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sin: Factory method to create a class wrapping a new Sin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sinh: Factory method to create a class wrapping a new Sinh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Softplus: Factory method to create a class wrapping a new Softplus operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselJ0: Factory method to create a class wrapping a new BesselJ0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselJ1: Factory method to create a class wrapping a new BesselJ1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK0: Factory method to create a class wrapping a new BesselK0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK0e: Factory method to create a class wrapping a new BesselK0e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK1: Factory method to create a class wrapping a new BesselK1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselK1e: Factory method to create a class wrapping a new BesselK1e operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselY0: Factory method to create a class wrapping a new BesselY0 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.BesselY1: Factory method to create a class wrapping a new BesselY1 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Dawsn: Factory method to create a class wrapping a new Dawsn operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Expint: Factory method to create a class wrapping a new Expint operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.FresnelCos: Factory method to create a class wrapping a new FresnelCos operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.FresnelSin: Factory method to create a class wrapping a new FresnelSin operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.special.Spence: Factory method to create a class wrapping a new Spence operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Sqrt: Factory method to create a class wrapping a new Sqrt operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Square: Factory method to create a class wrapping a new Square operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tan: Factory method to create a class wrapping a new Tan operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.math.Tanh: Factory method to create a class wrapping a new Tanh operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Elu: Factory method to create a class wrapping a new Elu operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.L2Loss: Factory method to create a class wrapping a new L2Loss operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.LogSoftmax: Factory method to create a class wrapping a new LogSoftmax operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu: Factory method to create a class wrapping a new Relu operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6: Factory method to create a class wrapping a new Relu6 operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Selu: Factory method to create a class wrapping a new Selu operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softmax: Factory method to create a class wrapping a new Softmax operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.nn.Softsign: Factory method to create a class wrapping a new Softsign operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft: Factory method to create a class wrapping a new FFT operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft2d: Factory method to create a class wrapping a new FFT2D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Fft3d: Factory method to create a class wrapping a new FFT3D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft: Factory method to create a class wrapping a new IFFT operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft2d: Factory method to create a class wrapping a new IFFT2D operation.
create(Scope, Operand<T>) - Static method in class org.tensorflow.op.signal.Ifft3d: Factory method to create a class wrapping a new IFFT3D operation.
create(Scope, Operand<T>, Class) - Static method in class org.tensorflow.op.linalg.Lu: Factory method to create a class wrapping a new Lu operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.core.CountUpTo: Factory method to create a class wrapping a new CountUpTo operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.tpu.ReplicatedOutput: Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Operand<T>, Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Factory method to create a class wrapping a new TPUReplicatedOutput operation.
create(Scope, Operand<T>, Long, List<Long>) - Static method in class org.tensorflow.op.tpu.PartitionedOutput: Factory method to create a class wrapping a new TPUPartitionedOutputV2 operation.
create(Scope, Operand<T>, Long, List<Long>, SplitND.Options...) - Static method in class org.tensorflow.op.xla.SplitND: Factory method to create a class wrapping a new XlaSplitND operation.
create(Scope, Operand<T>, Long, ApproxTopK.Options...) - Static method in class org.tensorflow.op.core.ApproxTopK: Factory method to create a class wrapping a new ApproxTopK operation.
create(Scope, Operand<T>, Long, Unstack.Options...) - Static method in class org.tensorflow.op.core.Unstack: Factory method to create a class wrapping a new Unpack operation.
create(Scope, Operand<T>, Long, DepthToSpace.Options...) - Static method in class org.tensorflow.op.nn.DepthToSpace: Factory method to create a class wrapping a new DepthToSpace operation.
create(Scope, Operand<T>, Long, SpaceToDepth.Options...) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Factory method to create a class wrapping a new SpaceToDepth operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.CopyToMesh: Factory method to create a class wrapping a new CopyToMesh operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.DestroyTemporaryVariable: Factory method to create a class wrapping a new DestroyTemporaryVariable operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.core.Relayout: Factory method to create a class wrapping a new Relayout operation.
create(Scope, Operand<T>, String) - Static method in class org.tensorflow.op.debugging.CheckNumerics: Factory method to create a class wrapping a new CheckNumericsV2 operation.
create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand<T>, String, Long, String) - Static method in class org.tensorflow.op.distribute.NcclAllReduce: Factory method to create a class wrapping a new NcclAllReduce operation.
create(Scope, Operand<T>, String, Enter.Options...) - Static method in class org.tensorflow.op.core.Enter: Factory method to create a class wrapping a new Enter operation.
create(Scope, Operand<T>, String, RefEnter.Options...) - Static method in class org.tensorflow.op.core.RefEnter: Factory method to create a class wrapping a new RefEnter operation.
create(Scope, Operand<T>, List<Float>, FractionalAvgPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Factory method to create a class wrapping a new FractionalAvgPool operation.
create(Scope, Operand<T>, List<Float>, FractionalMaxPool.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Factory method to create a class wrapping a new FractionalMaxPool operation.
create(Scope, Operand<T>, List<Long>, List<Long>, Class, String, MaxPoolWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.core.ExtractVolumePatches: Factory method to create a class wrapping a new ExtractVolumePatches operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool.Options...) - Static method in class org.tensorflow.op.nn.AvgPool: Factory method to create a class wrapping a new AvgPool operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, AvgPool3d.Options...) - Static method in class org.tensorflow.op.nn.AvgPool3d: Factory method to create a class wrapping a new AvgPool3D operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3d: Factory method to create a class wrapping a new MaxPool3D operation.
create(Scope, Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options[]) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Factory method to create a class wrapping a new MaxPoolWithArgmax operation, with the default output types.
create(Scope, Operand<T>, List<Long>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.image.ExtractImagePatches: Factory method to create a class wrapping a new ExtractImagePatches operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.EnsureShape: Factory method to create a class wrapping a new EnsureShape operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.core.PlaceholderWithDefault: Factory method to create a class wrapping a new PlaceholderWithDefault operation.
create(Scope, Operand<T>, Shape) - Static method in class org.tensorflow.op.distribute.NcclBroadcast: Factory method to create a class wrapping a new NcclBroadcast operation.
create(Scope, Operand<T>, Copy.Options...) - Static method in class org.tensorflow.op.core.Copy: Factory method to create a class wrapping a new Copy operation.
create(Scope, Operand<T>, CopyHost.Options...) - Static method in class org.tensorflow.op.core.CopyHost: Factory method to create a class wrapping a new CopyHost operation.
create(Scope, Operand<T>, Squeeze.Options...) - Static method in class org.tensorflow.op.core.Squeeze: Factory method to create a class wrapping a new Squeeze operation.
create(Scope, Operand<T>, DebugIdentity.Options...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Factory method to create a class wrapping a new DebugIdentityV3 operation.
create(Scope, Operand<T>, BatchMatrixInverse.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixInverse: Factory method to create a class wrapping a new BatchMatrixInverse operation.
create(Scope, Operand<T>, BatchSelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Factory method to create a class wrapping a new BatchSelfAdjointEigV2 operation.
create(Scope, Operand<T>, BatchSvd.Options...) - Static method in class org.tensorflow.op.linalg.BatchSvd: Factory method to create a class wrapping a new BatchSvd operation.
create(Scope, Operand<T>, Inv.Options...) - Static method in class org.tensorflow.op.linalg.Inv: Factory method to create a class wrapping a new MatrixInverse operation.
create(Scope, Operand<T>, Qr.Options...) - Static method in class org.tensorflow.op.linalg.Qr: Factory method to create a class wrapping a new Qr operation.
create(Scope, Operand<T>, SelfAdjointEig.Options...) - Static method in class org.tensorflow.op.linalg.SelfAdjointEig: Factory method to create a class wrapping a new SelfAdjointEigV2 operation.
create(Scope, Operand<T>, Svd.Options...) - Static method in class org.tensorflow.op.linalg.Svd: Factory method to create a class wrapping a new Svd operation.
create(Scope, Operand<T>, BiasAddGrad.Options...) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Factory method to create a class wrapping a new BiasAddGrad operation.
create(Scope, Operand<T>, DataFormatDimMap.Options...) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Factory method to create a class wrapping a new DataFormatDimMap operation.
create(Scope, Operand<T>, DataFormatVecPermute.Options...) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Factory method to create a class wrapping a new DataFormatVecPermute operation.
create(Scope, Operand<T>, LeakyRelu.Options...) - Static method in class org.tensorflow.op.nn.LeakyRelu: Factory method to create a class wrapping a new LeakyRelu operation.
create(Scope, Operand<T>, LocalResponseNormalization.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Factory method to create a class wrapping a new LRN operation.
create(Scope, Operand<T>, RandomShuffle.Options...) - Static method in class org.tensorflow.op.random.RandomShuffle: Factory method to create a class wrapping a new RandomShuffle operation.
create(Scope, Operand<T>, PreventGradient.Options...) - Static method in class org.tensorflow.op.train.PreventGradient: Factory method to create a class wrapping a new PreventGradient operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.BroadcastTo: Factory method to create a class wrapping a new BroadcastTo operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.ExpandDims: Factory method to create a class wrapping a new ExpandDims operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.GatherNd: Factory method to create a class wrapping a new GatherNd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Reshape: Factory method to create a class wrapping a new Reshape operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Reverse: Factory method to create a class wrapping a new ReverseV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Tile: Factory method to create a class wrapping a new Tile operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation, with the default output types.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation, with the default output types.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.linalg.ConjugateTranspose: Factory method to create a class wrapping a new ConjugateTranspose operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.linalg.Transpose: Factory method to create a class wrapping a new Transpose operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMean: Factory method to create a class wrapping a new SegmentMean operation.
create(Scope, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SparseSoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.core.Unique: Factory method to create a class wrapping a new UniqueV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Class<V>) - Static method in class org.tensorflow.op.core.UniqueWithCounts: Factory method to create a class wrapping a new UniqueWithCountsV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Class<V>, TopK.Options...) - Static method in class org.tensorflow.op.nn.TopK: Factory method to create a class wrapping a new TopKV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.core.BatchToSpace: Factory method to create a class wrapping a new BatchToSpace operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long) - Static method in class org.tensorflow.op.nn.SpaceToBatch: Factory method to create a class wrapping a new SpaceToBatch operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Long, ReverseSequence.Options...) - Static method in class org.tensorflow.op.core.ReverseSequence: Factory method to create a class wrapping a new ReverseSequence operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.core.MirrorPad: Factory method to create a class wrapping a new MirrorPad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, String) - Static method in class org.tensorflow.op.core.MirrorPadGrad: Factory method to create a class wrapping a new MirrorPadGrad operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Max.Options...) - Static method in class org.tensorflow.op.core.Max: Factory method to create a class wrapping a new Max operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Min.Options...) - Static method in class org.tensorflow.op.core.Min: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Prod.Options...) - Static method in class org.tensorflow.op.core.Prod: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceMax.Options...) - Static method in class org.tensorflow.op.core.ReduceMax: Factory method to create a class wrapping a new Max operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceMin.Options...) - Static method in class org.tensorflow.op.core.ReduceMin: Factory method to create a class wrapping a new Min operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceProd.Options...) - Static method in class org.tensorflow.op.core.ReduceProd: Factory method to create a class wrapping a new Prod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, ReduceSum.Options...) - Static method in class org.tensorflow.op.core.ReduceSum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Sum.Options...) - Static method in class org.tensorflow.op.core.Sum: Factory method to create a class wrapping a new Sum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, EuclideanNorm.Options...) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Factory method to create a class wrapping a new EuclideanNorm operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Cumprod.Options...) - Static method in class org.tensorflow.op.math.Cumprod: Factory method to create a class wrapping a new Cumprod operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Cumsum.Options...) - Static method in class org.tensorflow.op.math.Cumsum: Factory method to create a class wrapping a new Cumsum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, CumulativeLogsumexp.Options...) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Factory method to create a class wrapping a new CumulativeLogsumexp operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Mean.Options...) - Static method in class org.tensorflow.op.math.Mean: Factory method to create a class wrapping a new Mean operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, TopK.Options[]) - Static method in class org.tensorflow.op.nn.TopK: Factory method to create a class wrapping a new TopKV2 operation, with the default output types.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.BatchToSpaceNd: Factory method to create a class wrapping a new BatchToSpaceND operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.Roll: Factory method to create a class wrapping a new Roll operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.SpaceToBatchNd: Factory method to create a class wrapping a new SpaceToBatchND operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMax: Factory method to create a class wrapping a new SegmentMaxV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentMin: Factory method to create a class wrapping a new SegmentMinV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentProd: Factory method to create a class wrapping a new SegmentProdV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.SegmentSum: Factory method to create a class wrapping a new SegmentSumV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMax: Factory method to create a class wrapping a new UnsortedSegmentMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentMin: Factory method to create a class wrapping a new UnsortedSegmentMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentProd: Factory method to create a class wrapping a new UnsortedSegmentProd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.math.UnsortedSegmentSum: Factory method to create a class wrapping a new UnsortedSegmentSum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Gather.Options...) - Static method in class org.tensorflow.op.core.Gather: Factory method to create a class wrapping a new GatherV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentMean.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean: Factory method to create a class wrapping a new SparseSegmentMean operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSqrtN.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Factory method to create a class wrapping a new SparseSegmentSqrtN operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSum.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum: Factory method to create a class wrapping a new SparseSegmentSum operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentMeanWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Factory method to create a class wrapping a new SparseSegmentMeanWithNumSegments operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSqrtNWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSqrtNWithNumSegments operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSumWithNumSegments.Options...) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Factory method to create a class wrapping a new SparseSegmentSumWithNumSegments operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.core.QuantizedReshape: Factory method to create a class wrapping a new QuantizedReshape operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<TInt32>, Long) - Static method in class org.tensorflow.op.core.SplitV: Factory method to create a class wrapping a new SplitV operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.Pad: Factory method to create a class wrapping a new PadV2 operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdAdd: Factory method to create a class wrapping a new TensorScatterAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdMax: Factory method to create a class wrapping a new TensorScatterMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdMin: Factory method to create a class wrapping a new TensorScatterMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdSub: Factory method to create a class wrapping a new TensorScatterSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>) - Static method in class org.tensorflow.op.core.TensorScatterNdUpdate: Factory method to create a class wrapping a new TensorScatterUpdate operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, RandomIndexShuffle.Options...) - Static method in class org.tensorflow.op.core.RandomIndexShuffle: Factory method to create a class wrapping a new RandomIndexShuffle operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterAdd: Factory method to create a class wrapping a new ScatterAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterDiv.Options...) - Static method in class org.tensorflow.op.core.ScatterDiv: Factory method to create a class wrapping a new ScatterDiv operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMax.Options...) - Static method in class org.tensorflow.op.core.ScatterMax: Factory method to create a class wrapping a new ScatterMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMin.Options...) - Static method in class org.tensorflow.op.core.ScatterMin: Factory method to create a class wrapping a new ScatterMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMul.Options...) - Static method in class org.tensorflow.op.core.ScatterMul: Factory method to create a class wrapping a new ScatterMul operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdAdd.Options...) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Factory method to create a class wrapping a new ScatterNdAdd operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMax.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMax: Factory method to create a class wrapping a new ScatterNdMax operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMin.Options...) - Static method in class org.tensorflow.op.core.ScatterNdMin: Factory method to create a class wrapping a new ScatterNdMin operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdSub.Options...) - Static method in class org.tensorflow.op.core.ScatterNdSub: Factory method to create a class wrapping a new ScatterNdSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Factory method to create a class wrapping a new ScatterNdUpdate operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterSub.Options...) - Static method in class org.tensorflow.op.core.ScatterSub: Factory method to create a class wrapping a new ScatterSub operation.
create(Scope, Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterUpdate.Options...) - Static method in class org.tensorflow.op.core.ScatterUpdate: Factory method to create a class wrapping a new ScatterUpdate operation.
create(Scope, Operand<T>, Operand<? extends TType>) - Static method in class org.tensorflow.op.core.RelayoutLike: Factory method to create a class wrapping a new RelayoutLike operation.
create(Scope, Operand<T>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Static method in class org.tensorflow.op.random.experimental.StatelessShuffle: Factory method to create a class wrapping a new StatelessShuffle operation.
create(Scope, Operand<T>, Operand<? extends TType>, Operand<TInt32>, String, CollectiveReduce.Options...) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Factory method to create a class wrapping a new CollectiveReduceV3 operation.
create(Scope, Operand<T>, Operand<? extends TType>, Operand<TInt32>, CollectiveAllToAll.Options...) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Factory method to create a class wrapping a new CollectiveAllToAllV3 operation.
create(Scope, Operand<T>, Operand<TBool>) - Static method in class org.tensorflow.op.core.RefSwitch: Factory method to create a class wrapping a new RefSwitch operation.
create(Scope, Operand<T>, Operand<TBool>) - Static method in class org.tensorflow.op.core.SwitchCond: Factory method to create a class wrapping a new Switch operation.
create(Scope, Operand<T>, Operand<TBool>, BooleanMask.Options...) - Static method in class org.tensorflow.op.core.BooleanMask: Apply boolean mask to tensor.
create(Scope, Operand<T>, Operand<TBool>, Operand<T>, BooleanMaskUpdate.Options...) - Static method in class org.tensorflow.op.core.BooleanMaskUpdate: Updates a tensor at the masked values, and returns the updated tensor.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustContrast: Factory method to create a class wrapping a new AdjustContrastv2 operation.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustHue: Factory method to create a class wrapping a new AdjustHue operation.
create(Scope, Operand<T>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.AdjustSaturation: Factory method to create a class wrapping a new AdjustSaturation operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>) - Static method in class org.tensorflow.op.image.DrawBoundingBoxes: Factory method to create a class wrapping a new DrawBoundingBoxesV2 operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedAvgPool: Factory method to create a class wrapping a new QuantizedAvgPool operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.QuantizedMaxPool: Factory method to create a class wrapping a new QuantizedMaxPool operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, SampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Factory method to create a class wrapping a new SampleDistortedBoundingBoxV2 operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, QuantizedInstanceNorm.Options...) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Factory method to create a class wrapping a new QuantizedInstanceNorm operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, StatelessSampleDistortedBoundingBox.Options...) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Factory method to create a class wrapping a new StatelessSampleDistortedBoundingBox operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Class, Float, Boolean) - Static method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Factory method to create a class wrapping a new QuantizedBatchNormWithGlobalNormalization operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TInt32>, String, ImageProjectiveTransformV2.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Factory method to create a class wrapping a new ImageProjectiveTransformV2 operation.
create(Scope, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, String, ImageProjectiveTransformV3.Options...) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Factory method to create a class wrapping a new ImageProjectiveTransformV3 operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.collective.CollectivePermute: Factory method to create a class wrapping a new CollectivePermute operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.tpu.CrossReplicaSum: Factory method to create a class wrapping a new CrossReplicaSum operation.
create(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.train.TileGrad: Factory method to create a class wrapping a new TileGrad operation.
create(Scope, Operand<T>, Operand<TInt32>, Long) - Static method in class org.tensorflow.op.core.DynamicPartition: Factory method to create a class wrapping a new DynamicPartition operation.
create(Scope, Operand<T>, Operand<TInt32>, Long, Long, Long) - Static method in class org.tensorflow.op.tpu.AllToAll: Factory method to create a class wrapping a new AllToAll operation.
create(Scope, Operand<T>, Operand<TInt32>, Long, Long, CtcBeamSearchDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Factory method to create a class wrapping a new CTCBeamSearchDecoder operation.
create(Scope, Operand<T>, Operand<TInt32>, ResizeNearestNeighbor.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Factory method to create a class wrapping a new ResizeNearestNeighbor operation.
create(Scope, Operand<T>, Operand<TInt32>, ResizeNearestNeighborGrad.Options...) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Factory method to create a class wrapping a new ResizeNearestNeighborGrad operation.
create(Scope, Operand<T>, Operand<TInt32>, CtcGreedyDecoder.Options...) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Factory method to create a class wrapping a new CTCGreedyDecoder operation.
create(Scope, Operand<T>, Operand<TInt32>, NthElement.Options...) - Static method in class org.tensorflow.op.nn.NthElement: Factory method to create a class wrapping a new NthElement operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, QuantizedResizeBilinear.Options...) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Factory method to create a class wrapping a new QuantizedResizeBilinear operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.FftNd: Factory method to create a class wrapping a new FFTND operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.signal.IfftNd: Factory method to create a class wrapping a new IFFTND operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPool.Options...) - Static method in class org.tensorflow.op.nn.MaxPool: Factory method to create a class wrapping a new MaxPoolV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<? extends TType>>, String, String, CollectiveReduceScatter.Options...) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Factory method to create a class wrapping a new CollectiveReduceScatterV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<? extends TType>>, CollectiveGather.Options...) - Static method in class org.tensorflow.op.collective.CollectiveGather: Factory method to create a class wrapping a new CollectiveGatherV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, CollectiveBcastSend.Options...) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Factory method to create a class wrapping a new CollectiveBcastSendV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixDiag: Factory method to create a class wrapping a new MatrixDiagV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, MatrixDiagV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagV3: Factory method to create a class wrapping a new MatrixDiagV3 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Factory method to create a class wrapping a new FusedResizeAndPadConv2D operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceAdd: Factory method to create a class wrapping a new InplaceAdd operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceSub: Factory method to create a class wrapping a new InplaceSub operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.core.InplaceUpdate: Factory method to create a class wrapping a new InplaceUpdate operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>) - Static method in class org.tensorflow.op.linalg.MatrixDiagPart: Factory method to create a class wrapping a new MatrixDiagPartV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, String, List<Long>, String) - Static method in class org.tensorflow.op.nn.FusedPadConv2d: Factory method to create a class wrapping a new FusedPadConv2D operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv2dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Factory method to create a class wrapping a new Conv2DBackpropFilter operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, Conv3dBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Factory method to create a class wrapping a new Conv3DBackpropFilterV2 operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Factory method to create a class wrapping a new DepthwiseConv2dNativeBackpropFilter operation.
create(Scope, Operand<T>, Operand<TInt32>, Operand<T>, MatrixDiagPartV3.Options...) - Static method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Factory method to create a class wrapping a new MatrixDiagPartV3 operation.
create(Scope, Operand<T>, Operand<TInt64>, RandomCrop.Options...) - Static method in class org.tensorflow.op.image.RandomCrop: Factory method to create a class wrapping a new RandomCrop operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CtcLoss.Options...) - Static method in class org.tensorflow.op.nn.CtcLoss: Factory method to create a class wrapping a new CTCLoss operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.linalg.BatchMatrixBandPart: Factory method to create a class wrapping a new BatchMatrixBandPart operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Long, Unbatch.Options...) - Static method in class org.tensorflow.op.core.Unbatch: Factory method to create a class wrapping a new Unbatch operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseAddGrad: Factory method to create a class wrapping a new SparseAddGrad operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Static method in class org.tensorflow.op.sparse.SparseSliceGrad: Factory method to create a class wrapping a new SparseSliceGrad operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, DenseToSparseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Factory method to create a class wrapping a new DenseToSparseSetOperation operation.
create(Scope, Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, UnbatchGrad.Options...) - Static method in class org.tensorflow.op.core.UnbatchGrad: Factory method to create a class wrapping a new UnbatchGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseAnd: Factory method to create a class wrapping a new BitwiseAnd operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseOr: Factory method to create a class wrapping a new BitwiseOr operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.BitwiseXor: Factory method to create a class wrapping a new BitwiseXor operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.LeftShift: Factory method to create a class wrapping a new LeftShift operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.bitwise.RightShift: Factory method to create a class wrapping a new RightShift operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastDynamicShape: Factory method to create a class wrapping a new BroadcastArgs operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.BroadcastGradientArgs: Factory method to create a class wrapping a new BroadcastGradientArgs operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.CopyToMeshGrad: Factory method to create a class wrapping a new CopyToMeshGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation, with the default output types.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation, with the default output types.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UnravelIndex: Factory method to create a class wrapping a new UnravelIndex operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation, with the default output types.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Factory method to create a class wrapping a new BatchCholeskyGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Factory method to create a class wrapping a new BatchMatrixSetDiag operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.CholeskyGrad: Factory method to create a class wrapping a new CholeskyGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.Cross: Factory method to create a class wrapping a new Cross operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Add: Factory method to create a class wrapping a new Add operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Atan2: Factory method to create a class wrapping a new Atan2 operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Div: Factory method to create a class wrapping a new Div operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.DivNoNan: Factory method to create a class wrapping a new DivNoNan operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorDiv: Factory method to create a class wrapping a new FloorDiv operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.FloorMod: Factory method to create a class wrapping a new FloorMod operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Greater: Factory method to create a class wrapping a new Greater operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.GreaterEqual: Factory method to create a class wrapping a new GreaterEqual operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igamma: Factory method to create a class wrapping a new Igamma operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Igammac: Factory method to create a class wrapping a new Igammac operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.IgammaGradA: Factory method to create a class wrapping a new IgammaGradA operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Less: Factory method to create a class wrapping a new Less operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.LessEqual: Factory method to create a class wrapping a new LessEqual operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Maximum: Factory method to create a class wrapping a new Maximum operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Minimum: Factory method to create a class wrapping a new Minimum operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mod: Factory method to create a class wrapping a new Mod operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Mul: Factory method to create a class wrapping a new Mul operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.MulNoNan: Factory method to create a class wrapping a new MulNoNan operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.NextAfter: Factory method to create a class wrapping a new NextAfter operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Polygamma: Factory method to create a class wrapping a new Polygamma operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Pow: Factory method to create a class wrapping a new Pow operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RealDiv: Factory method to create a class wrapping a new RealDiv operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.ReciprocalGrad: Factory method to create a class wrapping a new ReciprocalGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.RsqrtGrad: Factory method to create a class wrapping a new RsqrtGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SigmoidGrad: Factory method to create a class wrapping a new SigmoidGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SoftplusGrad: Factory method to create a class wrapping a new SoftplusGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SqrtGrad: Factory method to create a class wrapping a new SqrtGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.SquaredDifference: Factory method to create a class wrapping a new SquaredDifference operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Sub: Factory method to create a class wrapping a new Sub operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TanhGrad: Factory method to create a class wrapping a new TanhGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateDiv: Factory method to create a class wrapping a new TruncateDiv operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.TruncateMod: Factory method to create a class wrapping a new TruncateMod operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xdivy: Factory method to create a class wrapping a new Xdivy operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlog1py: Factory method to create a class wrapping a new Xlog1py operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Xlogy: Factory method to create a class wrapping a new Xlogy operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Zeta: Factory method to create a class wrapping a new Zeta operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.EluGrad: Factory method to create a class wrapping a new EluGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.InvGrad: Factory method to create a class wrapping a new InvGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.Relu6Grad: Factory method to create a class wrapping a new Relu6Grad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.ReluGrad: Factory method to create a class wrapping a new ReluGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SeluGrad: Factory method to create a class wrapping a new SeluGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Factory method to create a class wrapping a new SoftmaxCrossEntropyWithLogits operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.SoftsignGrad: Factory method to create a class wrapping a new SoftsignGrad operation.
create(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.random.RandomGammaGrad: Factory method to create a class wrapping a new RandomGammaGrad operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.LowerBound: Factory method to create a class wrapping a new LowerBound operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.SetDiff1d: Factory method to create a class wrapping a new ListDiff operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.core.UpperBound: Factory method to create a class wrapping a new UpperBound operation.
create(Scope, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.dtypes.Complex: Factory method to create a class wrapping a new Complex operation.
create(Scope, Operand<T>, Operand<T>, Class, AnonymousMutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Factory method to create a class wrapping a new AnonymousMutableDenseHashTable operation.
create(Scope, Operand<T>, Operand<T>, Class, MutableDenseHashTable.Options...) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Factory method to create a class wrapping a new MutableDenseHashTableV2 operation.
create(Scope, Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Factory method to create a class wrapping a new DenseToDenseSetOperation operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv.Options...) - Static method in class org.tensorflow.op.nn.Conv: Factory method to create a class wrapping a new Conv operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv2d.Options...) - Static method in class org.tensorflow.op.nn.Conv2d: Factory method to create a class wrapping a new Conv2D operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, Conv3d.Options...) - Static method in class org.tensorflow.op.nn.Conv3d: Factory method to create a class wrapping a new Conv3D operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
create(Scope, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2d: Factory method to create a class wrapping a new Dilation2D operation.
create(Scope, Operand<T>, Operand<T>, Assign.Options...) - Static method in class org.tensorflow.op.core.Assign: Factory method to create a class wrapping a new Assign operation.
create(Scope, Operand<T>, Operand<T>, AssignAdd.Options...) - Static method in class org.tensorflow.op.core.AssignAdd: Factory method to create a class wrapping a new AssignAdd operation.
create(Scope, Operand<T>, Operand<T>, AssignSub.Options...) - Static method in class org.tensorflow.op.core.AssignSub: Factory method to create a class wrapping a new AssignSub operation.
create(Scope, Operand<T>, Operand<T>, LeakyReluGrad.Options...) - Static method in class org.tensorflow.op.data.LeakyReluGrad: Factory method to create a class wrapping a new LeakyReluGrad operation.
create(Scope, Operand<T>, Operand<T>, BandedTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Factory method to create a class wrapping a new BandedTriangularSolve operation.
create(Scope, Operand<T>, Operand<T>, BatchMatrixSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolve: Factory method to create a class wrapping a new BatchMatrixSolve operation.
create(Scope, Operand<T>, Operand<T>, BatchMatrixTriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Factory method to create a class wrapping a new BatchMatrixTriangularSolve operation.
create(Scope, Operand<T>, Operand<T>, MatMul.Options...) - Static method in class org.tensorflow.op.linalg.MatMul: Factory method to create a class wrapping a new MatMul operation.
create(Scope, Operand<T>, Operand<T>, Solve.Options...) - Static method in class org.tensorflow.op.linalg.Solve: Factory method to create a class wrapping a new MatrixSolve operation.
create(Scope, Operand<T>, Operand<T>, TriangularSolve.Options...) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Factory method to create a class wrapping a new MatrixTriangularSolve operation.
create(Scope, Operand<T>, Operand<T>, TridiagonalSolve.Options...) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Factory method to create a class wrapping a new TridiagonalSolve operation.
create(Scope, Operand<T>, Operand<T>, ApproximateEqual.Options...) - Static method in class org.tensorflow.op.math.ApproximateEqual: Factory method to create a class wrapping a new ApproximateEqual operation.
create(Scope, Operand<T>, Operand<T>, Equal.Options...) - Static method in class org.tensorflow.op.math.Equal: Factory method to create a class wrapping a new Equal operation.
create(Scope, Operand<T>, Operand<T>, NotEqual.Options...) - Static method in class org.tensorflow.op.math.NotEqual: Factory method to create a class wrapping a new NotEqual operation.
create(Scope, Operand<T>, Operand<T>, BiasAdd.Options...) - Static method in class org.tensorflow.op.nn.BiasAdd: Factory method to create a class wrapping a new BiasAdd operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>) - Static method in class org.tensorflow.op.core.LinSpace: Factory method to create a class wrapping a new LinSpace operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradGradWithArgmax operation.
create(Scope, Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradWithArgmax.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Factory method to create a class wrapping a new MaxPoolGradWithArgmax operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslateGrad.Options...) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Factory method to create a class wrapping a new ScaleAndTranslateGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, Long, Long, Long, Long, UniformQuantizedDot.Options...) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Factory method to create a class wrapping a new UniformQuantizedDot operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, String, Long, Long, Long, Long, Long, Long, UniformQuantizedConvolution.Options...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Factory method to create a class wrapping a new UniformQuantizedConvolution operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Long, Long, Long, Long, Long, Long, UniformQuantizedAdd.Options...) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Factory method to create a class wrapping a new UniformQuantizedAdd operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat32>, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Factory method to create a class wrapping a new FusedBatchNormGradV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat64>, BatchMatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Factory method to create a class wrapping a new BatchMatrixSolveLs operation.
create(Scope, Operand<T>, Operand<T>, Operand<TFloat64>, MatrixSolveLs.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Factory method to create a class wrapping a new MatrixSolveLs operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation, with the default output types.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, Class) - Static method in class org.tensorflow.op.core.HistogramFixedWidth: Factory method to create a class wrapping a new HistogramFixedWidth operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, MatrixSetDiag.Options...) - Static method in class org.tensorflow.op.linalg.MatrixSetDiag: Factory method to create a class wrapping a new MatrixSetDiagV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, NonMaxSuppression.Options...) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Factory method to create a class wrapping a new NonMaxSuppressionV5 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.ClipByValue: Factory method to create a class wrapping a new ClipByValue operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Range: Factory method to create a class wrapping a new Range operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.math.Betainc: Factory method to create a class wrapping a new Betainc operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation, with the default output types.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Class) - Static method in class org.tensorflow.op.ragged.RaggedRange: Factory method to create a class wrapping a new RaggedRange operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropFilterV2.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Factory method to create a class wrapping a new Conv2DBackpropFilterV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, String, Conv2dBackpropInputV2.Options...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Factory method to create a class wrapping a new Conv2DBackpropInputV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Factory method to create a class wrapping a new Dilation2DBackpropFilter operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Static method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Factory method to create a class wrapping a new Dilation2DBackpropInput operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Factory method to create a class wrapping a new MaxPool3DGradGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, LocalResponseNormalizationGrad.Options...) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Factory method to create a class wrapping a new LRNGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Factory method to create a class wrapping a new QuantizeAndDequantizeV4 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, ApplyGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Factory method to create a class wrapping a new ApplyGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Long, Long, UniformQuantizedClipByValue.Options...) - Static method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Factory method to create a class wrapping a new UniformQuantizedClipByValue operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantize.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantizeV3.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Factory method to create a class wrapping a new QuantizeAndDequantizeV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Factory method to create a class wrapping a new MaxPoolGradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGradGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Factory method to create a class wrapping a new MaxPoolGradGradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalMaxPoolGrad.Options...) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Factory method to create a class wrapping a new FractionalMaxPoolGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.linalg.TridiagonalMatMul: Factory method to create a class wrapping a new TridiagonalMatMul operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4Grad.Options...) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Factory method to create a class wrapping a new QuantizeAndDequantizeV4Grad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Factory method to create a class wrapping a new ApplyAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, SparseApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Factory method to create a class wrapping a new SparseApplyMomentum operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, SparseApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Factory method to create a class wrapping a new SparseApplyAdagradDA operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Factory method to create a class wrapping a new SparseApplyFtrlV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, CudnnRNN.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNN: Factory method to create a class wrapping a new CudnnRNNV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, CudnnRNNBackprop.Options...) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Factory method to create a class wrapping a new CudnnRNNBackpropV3 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Factory method to create a class wrapping a new BatchNormWithGlobalNormalization operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Float, Boolean) - Static method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Factory method to create a class wrapping a new BatchNormWithGlobalNormalizationGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdagradV2.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Factory method to create a class wrapping a new ApplyAdagradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyMomentum.Options...) - Static method in class org.tensorflow.op.train.ApplyMomentum: Factory method to create a class wrapping a new ApplyMomentum operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Factory method to create a class wrapping a new ApplyProximalGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Factory method to create a class wrapping a new SparseApplyAdagradV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalGradientDescent.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Factory method to create a class wrapping a new SparseApplyProximalGradientDescent operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.GRUBlockCell: Factory method to create a class wrapping a new GRUBlockCell operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Factory method to create a class wrapping a new ApplyProximalAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalAdagrad.Options...) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Factory method to create a class wrapping a new SparseApplyProximalAdagrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Factory method to create a class wrapping a new ApplyAdadelta operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAddSign.Options...) - Static method in class org.tensorflow.op.train.ApplyAddSign: Factory method to create a class wrapping a new ApplyAddSign operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyPowerSign.Options...) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Factory method to create a class wrapping a new ApplyPowerSign operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdadelta.Options...) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Factory method to create a class wrapping a new SparseApplyAdadelta operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ApplyAdagradDa.Options...) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Factory method to create a class wrapping a new ApplyAdagradDA operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, LSTMBlockCell.Options...) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Factory method to create a class wrapping a new LSTMBlockCell operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Factory method to create a class wrapping a new ApplyRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Factory method to create a class wrapping a new SparseApplyRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdaMax.Options...) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Factory method to create a class wrapping a new ApplyAdaMax operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Factory method to create a class wrapping a new ApplyCenteredRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyFtrl.Options...) - Static method in class org.tensorflow.op.train.ApplyFtrl: Factory method to create a class wrapping a new ApplyFtrlV2 operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyCenteredRmsProp.Options...) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Factory method to create a class wrapping a new SparseApplyCenteredRMSProp operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.nn.GRUBlockCellGrad: Factory method to create a class wrapping a new GRUBlockCellGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ApplyAdam.Options...) - Static method in class org.tensorflow.op.train.ApplyAdam: Factory method to create a class wrapping a new ApplyAdam operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Factory method to create a class wrapping a new LSTMBlockCellGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand, StridedSliceGrad.Options...) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Factory method to create a class wrapping a new StridedSliceGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Factory method to create a class wrapping a new MaxPool3DGrad operation.
create(Scope, Operand<T>, Operand<T>, Operand, DenseBincount.Options...) - Static method in class org.tensorflow.op.math.DenseBincount: Factory method to create a class wrapping a new DenseBincount operation.
create(Scope, Operand<T>, Operand<T>, Operand, Operand, SparseToDense.Options...) - Static method in class org.tensorflow.op.sparse.SparseToDense: Factory method to create a class wrapping a new SparseToDense operation.
create(Scope, Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Factory method to create a class wrapping a new SparseSegmentMeanGradV2 operation.
create(Scope, Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Factory method to create a class wrapping a new SparseSegmentSqrtNGradV2 operation.
create(Scope, Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Factory method to create a class wrapping a new SparseSegmentSumGradV2 operation.
create(Scope, Operand<T>, Operand, Operand<T>) - Static method in class org.tensorflow.op.core.ScatterNd: Factory method to create a class wrapping a new ScatterNd operation.
create(Scope, Operand<T>, Operand, Operand<T>, Operand) - Static method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Factory method to create a class wrapping a new SparseTensorDenseAdd operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.core.Slice: Factory method to create a class wrapping a new Slice operation.
create(Scope, Operand<T>, Operand, Operand) - Static method in class org.tensorflow.op.linalg.BandPart: Factory method to create a class wrapping a new MatrixBandPart operation.
create(Scope, Operand<T>, Operand, Operand, Operand, StridedSlice.Options...) - Static method in class org.tensorflow.op.core.StridedSlice: Factory method to create a class wrapping a new StridedSlice operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand<T>, StridedSliceAssign.Options...) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Factory method to create a class wrapping a new StridedSliceAssign operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand<T>, TensorStridedSliceUpdate.Options...) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Factory method to create a class wrapping a new TensorStridedSliceUpdate operation.
create(Scope, Operand<T>, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Factory method to create a class wrapping a new FusedBatchNormV3 operation.
create(Scope, Tensor, Class<T>) - Static method in class org.tensorflow.op.core.HostConst: Factory method to create a class wrapping a new HostConst operation.
create(Scope, T) - Static method in class org.tensorflow.op.core.Constant: Create a constant by making an immutable copy of tensor.
create(Signature, Graph) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and an existing graph.
create(Signature, Session) - Static method in class org.tensorflow.ConcreteFunction: Create a function from a signature and a valid graph session.
create(Signature, Session) - Static method in class org.tensorflow.SessionFunction
createSummaryDbWriter(Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: The CreateSummaryDbWriter operation
CreateSummaryDbWriter - Class in org.tensorflow.op.summary: The CreateSummaryDbWriter operation
CreateSummaryDbWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter
CreateSummaryDbWriter.Inputs - Class in org.tensorflow.op.summary
createSummaryFileWriter(Operand<? extends TType>, Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: The CreateSummaryFileWriter operation
CreateSummaryFileWriter - Class in org.tensorflow.op.summary: The CreateSummaryFileWriter operation
CreateSummaryFileWriter(Operation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter
CreateSummaryFileWriter.Inputs - Class in org.tensorflow.op.summary
createVariableWithInit(Scope, Operand<T>, Variable.Options...) - Static method in class org.tensorflow.op.core.Helpers: Factory method to create a new Variable with its initializer.
cropAndResize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, CropAndResize.Options...) - Method in class org.tensorflow.op.ImageOps: Extracts crops from the input image tensor and resizes them.
CropAndResize - Class in org.tensorflow.op.image: Extracts crops from the input image tensor and resizes them.
CropAndResize(Operation) - Constructor for class org.tensorflow.op.image.CropAndResize
CropAndResize.Inputs - Class in org.tensorflow.op.image
CropAndResize.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResize
cropAndResizeGradBoxes(Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, CropAndResizeGradBoxes.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
CropAndResizeGradBoxes(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes
CropAndResizeGradBoxes.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradBoxes.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradBoxes
cropAndResizeGradImage(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Class<T>, CropAndResizeGradImage.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of the crop_and_resize op wrt the input image tensor.
CropAndResizeGradImage(Operation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage
CropAndResizeGradImage.Inputs - Class in org.tensorflow.op.image
CropAndResizeGradImage.Options - Class in org.tensorflow.op.image: Optional attributes for CropAndResizeGradImage
crops - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
crops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
crops() - Method in class org.tensorflow.op.image.CropAndResize: Gets crops.
cropSize - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 1-D tensor of 2 elements, size = [crop_height, crop_width].
cropWindow - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: 1-D.
cross(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Compute the pairwise cross product.
Cross<T extends TNumber> - Class in org.tensorflow.op.linalg: Compute the pairwise cross product.
Cross(Operation) - Constructor for class org.tensorflow.op.linalg.Cross
Cross.Inputs<T extends TNumber> - Class in org.tensorflow.op.linalg
crossReplicaSum(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.TpuOps: An Op to sum inputs across replicated TPU instances.
CrossReplicaSum<T extends TNumber> - Class in org.tensorflow.op.tpu: An Op to sum inputs across replicated TPU instances.
CrossReplicaSum(Operation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum
CrossReplicaSum.Inputs<T extends TNumber> - Class in org.tensorflow.op.tpu
crossTrainerCacheOptions - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The crossTrainerCacheOptions attribute
crossTrainerCacheOptions(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the crossTrainerCacheOptions option.
crossTrainerCacheOptions(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the crossTrainerCacheOptions option.
cs - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The cell state before the tanh over the whole time sequence.
cs - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The cell state before the tanh.
cs() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets cs.
cs() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets cs.
csGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The current gradient of cs.
csGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The current gradient of cs.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Value of the initial cell state.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Value of the cell state at previous time step.
csPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous cell state.
csPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets csPrevGrad.
csPrevGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets csPrevGrad.
csrSparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: A batched CSRSparseMatrix.
cSRSparseMatrixComponents(Operand<? extends TType>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Reads out the CSR components at batch index.
CSRSparseMatrixComponents<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Reads out the CSR components at batch index.
CSRSparseMatrixComponents(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents
CSRSparseMatrixComponents.Inputs - Class in org.tensorflow.op.linalg.sparse
cSRSparseMatrixToDense(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Convert a (possibly batched) CSRSparseMatrix to dense.
CSRSparseMatrixToDense<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Convert a (possibly batched) CSRSparseMatrix to dense.
CSRSparseMatrixToDense(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense
CSRSparseMatrixToDense.Inputs - Class in org.tensorflow.op.linalg.sparse
cSRSparseMatrixToSparseTensor(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
CSRSparseMatrixToSparseTensor<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.
CSRSparseMatrixToSparseTensor(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor
CSRSparseMatrixToSparseTensor.Inputs - Class in org.tensorflow.op.linalg.sparse
cSVDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalCSVDataset operation
cSVDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TBool>, Operand<TString>, Operand<TBool>, Operand<TString>, Operand<TInt64>, Iterable<Operand<?>>, Operand<TInt64>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The CSVDatasetV2 operation
CSVDataset - Class in org.tensorflow.op.data: The CSVDatasetV2 operation
CSVDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalCSVDataset operation
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.CSVDataset
CSVDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset
CSVDataset.Inputs - Class in org.tensorflow.op.data
CSVDataset.Inputs - Class in org.tensorflow.op.data.experimental
ctcBeamSearchDecoder(Operand<T>, Operand<TInt32>, Long, Long, CtcBeamSearchDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder<T extends TNumber> - Class in org.tensorflow.op.nn: Performs beam search decoding on the logits given in input.
CtcBeamSearchDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder
CtcBeamSearchDecoder.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcBeamSearchDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcBeamSearchDecoder
ctcGreedyDecoder(Operand<T>, Operand<TInt32>, CtcGreedyDecoder.Options...) - Method in class org.tensorflow.op.NnOps: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder<T extends TNumber> - Class in org.tensorflow.op.nn: Performs greedy decoding on the logits given in inputs.
CtcGreedyDecoder(Operation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder
CtcGreedyDecoder.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcGreedyDecoder.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcGreedyDecoder
ctcLoss(Operand<T>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CtcLoss.Options...) - Method in class org.tensorflow.op.NnOps: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss<T extends TNumber> - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CtcLoss(Operation) - Constructor for class org.tensorflow.op.nn.CtcLoss
CtcLoss.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CtcLoss.Options - Class in org.tensorflow.op.nn: Optional attributes for CtcLoss
cTCLossV2(Operand<TFloat32>, Operand<TInt64>, Operand<TInt32>, Operand<TInt32>, CTCLossV2.Options...) - Method in class org.tensorflow.op.NnOps: Calculates the CTC Loss (log probability) for each batch entry.
CTCLossV2 - Class in org.tensorflow.op.nn: Calculates the CTC Loss (log probability) for each batch entry.
CTCLossV2(Operation) - Constructor for class org.tensorflow.op.nn.CTCLossV2
CTCLossV2.Inputs - Class in org.tensorflow.op.nn
CTCLossV2.Options - Class in org.tensorflow.op.nn: Optional attributes for CTCLossV2
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ctcMergeRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ctcMergeRepeated option.
ctcMergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ctcMergeRepeated option.
cudnnRNN(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, CudnnRNN.Options...) - Method in class org.tensorflow.op.NnOps: A RNN backed by cuDNN.
CudnnRNN<T extends TNumber> - Class in org.tensorflow.op.nn: A RNN backed by cuDNN.
CudnnRNN(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNN
CudnnRNN.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNN.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNN
cudnnRNNBackprop(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, CudnnRNNBackprop.Options...) - Method in class org.tensorflow.op.NnOps: Backprop step of CudnnRNNV3.
CudnnRNNBackprop<T extends TNumber> - Class in org.tensorflow.op.nn: Backprop step of CudnnRNNV3.
CudnnRNNBackprop(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop
CudnnRNNBackprop.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNBackprop.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNBackprop
cudnnRNNCanonicalToParams(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<T>>, CudnnRNNCanonicalToParams.Options...) - Method in class org.tensorflow.op.NnOps: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams<T extends TNumber> - Class in org.tensorflow.op.nn: Converts CudnnRNN params from canonical form to usable form.
CudnnRNNCanonicalToParams(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams
CudnnRNNCanonicalToParams.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNCanonicalToParams.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNCanonicalToParams
cudnnRnnParamsSize(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class, Class<T>, CudnnRnnParamsSize.Options...) - Method in class org.tensorflow.op.NnOps: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize<T extends TNumber> - Class in org.tensorflow.op.nn: Computes size of weights that can be used by a Cudnn RNN model.
CudnnRnnParamsSize(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize
CudnnRnnParamsSize.Inputs - Class in org.tensorflow.op.nn
CudnnRnnParamsSize.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRnnParamsSize
cudnnRNNParamsToCanonical(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, Long, Long, CudnnRNNParamsToCanonical.Options...) - Method in class org.tensorflow.op.NnOps: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical<T extends TNumber> - Class in org.tensorflow.op.nn: Retrieves CudnnRNN params in canonical form.
CudnnRNNParamsToCanonical(Operation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical
CudnnRNNParamsToCanonical.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
CudnnRNNParamsToCanonical.Options - Class in org.tensorflow.op.nn: Optional attributes for CudnnRNNParamsToCanonical
cumprod(Operand<T>, Operand<? extends TNumber>, Cumprod.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative product of the tensor x along axis.
Cumprod<T extends TType> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
Cumprod(Operation) - Constructor for class org.tensorflow.op.math.Cumprod
Cumprod.Inputs<T extends TType> - Class in org.tensorflow.op.math
Cumprod.Options - Class in org.tensorflow.op.math: Optional attributes for Cumprod
cumsum(Operand<T>, Operand<? extends TNumber>, Cumsum.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative sum of the tensor x along axis.
Cumsum<T extends TType> - Class in org.tensorflow.op.math: Compute the cumulative sum of the tensor x along axis.
Cumsum(Operation) - Constructor for class org.tensorflow.op.math.Cumsum
Cumsum.Inputs<T extends TType> - Class in org.tensorflow.op.math
Cumsum.Options - Class in org.tensorflow.op.math: Optional attributes for Cumsum
cumulativeLogsumexp(Operand<T>, Operand<? extends TNumber>, CumulativeLogsumexp.Options...) - Method in class org.tensorflow.op.MathOps: Compute the cumulative product of the tensor x along axis.
CumulativeLogsumexp<T extends TNumber> - Class in org.tensorflow.op.math: Compute the cumulative product of the tensor x along axis.
CumulativeLogsumexp(Operation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp
CumulativeLogsumexp.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
CumulativeLogsumexp.Options - Class in org.tensorflow.op.math: Optional attributes for CumulativeLogsumexp
currentEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets currentEpoch.
CUSTOM - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
CustomGradient<T extends RawOpInputs> - Interface in org.tensorflow.op: A custom gradient for ops of type CustomGradient.
cycleLength - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The cycleLength input
cycleLength - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Number of datasets (each created by applying f to the elements of input_dataset) among which the ParallelInterleaveDatasetV2 will cycle in a round-robin fashion.

D

data - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The tensors to print out when condition is false.
data - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The data input
data - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.Enter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.Exit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Must have rank 1 or higher.
data - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The data input
data - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The tensor to be made available to the child frame.
data - Variable in class org.tensorflow.op.core.RefExit.Inputs: The tensor to be made available to the parent frame.
data - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The tensor to be made available to the next iteration.
data - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The ref tensor to be forwarded to the appropriate output.
data - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The tensor to be forwarded to the appropriate output.
data - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The data input
data - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.Ops
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The data input
data - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The data input
data - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The values tensor of the ragged string tensor to make ngrams out of.
data - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: N tensors to save.
data() - Method in class org.tensorflow.op.collective.CollectiveAllToAll: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastRecv: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveBcastSend: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveGather: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveReduce: Gets data.
data() - Method in class org.tensorflow.op.collective.CollectiveReduceScatter: Gets data.
data() - Method in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

Gets data.
data() - Method in class org.tensorflow.op.core.NcclReduce: Deprecated.

Gets data.
data() - Method in class org.tensorflow.op.distribute.NcclAllReduce: Gets data.
data() - Method in class org.tensorflow.op.distribute.NcclReduce: Gets data.
data() - Method in class org.tensorflow.RawTensor: Returns the raw data of this tensor as a buffer of bytes.
DataExperimentalOps - Class in org.tensorflow.op: An API for building data.experimental operations as Ops
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv.Inputs: Used to set the data format.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The dataFormat attribute
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data format for x and y.
dataFormat - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data format for y_backprop, x, x_backprop.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: Specify the data format of the input and output data.
dataFormat - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The dataFormat attribute
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPool3dGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.AvgPoolGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.AvgPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAdd: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAdd.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.BiasAddGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.BiasAddGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthToSpace: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthToSpace.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3d: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3d.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.MaxPoolGradGrad: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.MaxPoolGradGrad.Options: Sets the dataFormat option.
dataFormat(String) - Static method in class org.tensorflow.op.nn.SpaceToDepth: Sets the dataFormat option.
dataFormat(String) - Method in class org.tensorflow.op.nn.SpaceToDepth.Options: Sets the dataFormat option.
dataFormatDimMap(Operand<T>, DataFormatDimMap.Options...) - Method in class org.tensorflow.op.NnOps: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap<T extends TNumber> - Class in org.tensorflow.op.nn: Returns the dimension index in the destination data format given the one in the source data format.
DataFormatDimMap(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap
DataFormatDimMap.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DataFormatDimMap.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatDimMap
dataFormatVecPermute(Operand<T>, DataFormatVecPermute.Options...) - Method in class org.tensorflow.op.NnOps: Permute input tensor from src_format to dst_format.
DataFormatVecPermute<T extends TNumber> - Class in org.tensorflow.op.nn: Permute input tensor from src_format to dst_format.
DataFormatVecPermute(Operation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute
DataFormatVecPermute.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DataFormatVecPermute.Options - Class in org.tensorflow.op.nn: Optional attributes for DataFormatVecPermute
dataInputDatasets - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
dataInputDatasets - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: N datasets with the same type that will be interleaved according to the values of selector_input_dataset.
DataOps - Class in org.tensorflow.op: An API for building data operations as Ops
dataServiceDataset(Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, DataServiceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that reads data from the tf.data service.
DataServiceDataset - Class in org.tensorflow.op.data: Creates a dataset that reads data from the tf.data service.
DataServiceDataset(Operation) - Constructor for class org.tensorflow.op.data.DataServiceDataset
DataServiceDataset.Inputs - Class in org.tensorflow.op.data
DataServiceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for DataServiceDataset
dataset - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: A handle to a dataset that contains a single element.
dataset - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: Dataset to be iterated upon.
dataset - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The dataset input
dataset - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The dataset input
datasetCardinality(Operand<? extends TType>) - Method in class org.tensorflow.op.DataExperimentalOps: Returns the cardinality of input_dataset.
datasetCardinality(Operand<? extends TType>, DatasetCardinality.Options...) - Method in class org.tensorflow.op.DataOps: Returns the cardinality of input_dataset.
DatasetCardinality - Class in org.tensorflow.op.data: Returns the cardinality of input_dataset.
DatasetCardinality - Class in org.tensorflow.op.data.experimental: Returns the cardinality of input_dataset.
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.DatasetCardinality
DatasetCardinality(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality
DatasetCardinality.Inputs - Class in org.tensorflow.op.data
DatasetCardinality.Inputs - Class in org.tensorflow.op.data.experimental
DatasetCardinality.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetCardinality
datasetFingerprint(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Returns the fingerprint of input_dataset.
DatasetFingerprint - Class in org.tensorflow.op.data: Returns the fingerprint of input_dataset.
DatasetFingerprint(Operation) - Constructor for class org.tensorflow.op.data.DatasetFingerprint
DatasetFingerprint.Inputs - Class in org.tensorflow.op.data
datasetFromGraph(Operand<TString>) - Method in class org.tensorflow.op.DataOps: Creates a dataset from the given graph_def.
DatasetFromGraph - Class in org.tensorflow.op.data: Creates a dataset from the given graph_def.
DatasetFromGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph
DatasetFromGraph.Inputs - Class in org.tensorflow.op.data
datasetId - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The datasetId input
datasetId() - Method in class org.tensorflow.op.data.RegisterDataset: Gets datasetId.
datasetToGraph(Operand<? extends TType>, DatasetToGraph.Options...) - Method in class org.tensorflow.op.DataOps: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph - Class in org.tensorflow.op.data: Returns a serialized GraphDef representing input_dataset.
DatasetToGraph(Operation) - Constructor for class org.tensorflow.op.data.DatasetToGraph
DatasetToGraph.Inputs - Class in org.tensorflow.op.data
DatasetToGraph.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToGraph
datasetToSingleElement(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, DatasetToSingleElement.Options...) - Method in class org.tensorflow.op.DataOps: Outputs the single element from the given dataset.
DatasetToSingleElement - Class in org.tensorflow.op.data: Outputs the single element from the given dataset.
DatasetToSingleElement(Operation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement
DatasetToSingleElement.Inputs - Class in org.tensorflow.op.data
DatasetToSingleElement.Options - Class in org.tensorflow.op.data: Optional attributes for DatasetToSingleElement
datasetToTfRecord(Operand<? extends TType>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.DataOps: Writes the given dataset to the given file using the TFRecord format.
datasetToTFRecord(Operand<? extends TType>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.DataExperimentalOps: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord - Class in org.tensorflow.op.data: Writes the given dataset to the given file using the TFRecord format.
DatasetToTfRecord(Operation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord
DatasetToTFRecord - Class in org.tensorflow.op.data.experimental: Writes the given dataset to the given file using the TFRecord format.
DatasetToTFRecord(Operation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord
DatasetToTfRecord.Inputs - Class in org.tensorflow.op.data
DatasetToTFRecord.Inputs - Class in org.tensorflow.op.data.experimental
dataSourceName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A connection string to connect to the database.
dataSourceName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A connection string to connect to the database.
dataSplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The splits tensor of the ragged string tensor to make ngrams out of.
dataTransferProtocol - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The dataTransferProtocol attribute
dataTransferProtocol(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the dataTransferProtocol option.
dataTransferProtocol(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the dataTransferProtocol option.
dataType - Variable in class org.tensorflow.Signature.TensorDescription: The data type of the tensor
dataType() - Method in class org.tensorflow.Output: Returns the DataType of the tensor referred to by this Output.
dataType() - Method in class org.tensorflow.RawTensor
dataType() - Method in interface org.tensorflow.Tensor: Returns the DataType of elements stored in the tensor.
dataType() - Element in annotation type org.tensorflow.types.annotation.TensorType: The data type of each elements in a tensor of this type
dawsn(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The Dawsn operation
Dawsn<T extends TNumber> - Class in org.tensorflow.op.math.special: The Dawsn operation
Dawsn(Operation) - Constructor for class org.tensorflow.op.math.special.Dawsn
Dawsn.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
db() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets db.
dbUri - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The dbUri input
dCBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dCBar.
dctCoefficientCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many output channels to produce per time slice.
dctCoefficientCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the dctCoefficientCount option.
dctCoefficientCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the dctCoefficientCount option.
dctMethod - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: string specifying a hint about the algorithm used for decompression.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the dctMethod option.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the dctMethod option.
dctMethod(String) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the dctMethod option.
dctMethod(String) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the dctMethod option.
dDefaultValue() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Gets dDefaultValue.
dDefaultValue() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dDefaultValue.
debugging - Variable in class org.tensorflow.op.Ops
DebuggingOps - Class in org.tensorflow.op: An API for building debugging operations as Ops
DebugGradientIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity
DebugGradientIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugGradientRefIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Identity op for gradient debugging.
DebugGradientRefIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity
DebugGradientRefIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugIdentity<T extends TType> - Class in org.tensorflow.op.debugging: Provides an identity mapping of the non-Ref type input tensor for debugging.
DebugIdentity(Operation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity
DebugIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.debugging
DebugIdentity.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugIdentity
debugName - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the user-given name, which still applies in anonymous mode.
debugName - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing the names of the serialized protos.
debugName - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing the name of the serialized proto.
debugName(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the debugName option.
debugName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the debugName option.
DebugNanCount - Class in org.tensorflow.op.debugging: Debug NaN Value Counter Op.
DebugNanCount(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount
DebugNanCount.Inputs - Class in org.tensorflow.op.debugging
DebugNanCount.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNanCount
DebugNumericsSummary - Class in org.tensorflow.op.debugging: Debug Numeric Summary V2 Op.
DebugNumericsSummary(Operation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary
DebugNumericsSummary.Inputs - Class in org.tensorflow.op.debugging
DebugNumericsSummary.Options - Class in org.tensorflow.op.debugging: Optional attributes for DebugNumericsSummary
debugOpsSpec - Variable in class org.tensorflow.op.core.Copy.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec - Variable in class org.tensorflow.op.core.CopyHost.Inputs: A list of debug op spec (op, url, gated_grpc) for attached debug ops.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec(String...) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
debugOpsSpec(List<String>) - Static method in class org.tensorflow.op.core.Copy: Sets the debugOpsSpec option.
debugOpsSpec(List<String>) - Method in class org.tensorflow.op.core.Copy.Options: Sets the debugOpsSpec option.
debugOpsSpec(List<String>) - Static method in class org.tensorflow.op.core.CopyHost: Sets the debugOpsSpec option.
debugOpsSpec(List<String>) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the debugOpsSpec option.
debugUrls - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011
debugUrls - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: List of URLs to debug targets, e.g., file:///foo/tfdbg_dump, grpc:://localhost:11011.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(String...) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls(String...) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
debugUrls(List<String>) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the debugUrls option.
debugUrls(List<String>) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the debugUrls option.
debugUrls(List<String>) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the debugUrls option.
debugUrls(List<String>) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the debugUrls option.
decodeAndCropJpeg(Operand<TString>, Operand<TInt32>, DecodeAndCropJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg - Class in org.tensorflow.op.image: Decode and Crop a JPEG-encoded image to a uint8 tensor.
DecodeAndCropJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg
DecodeAndCropJpeg.Inputs - Class in org.tensorflow.op.image
DecodeAndCropJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeAndCropJpeg
decodeBase64(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Decode web-safe base64-encoded strings.
DecodeBase64 - Class in org.tensorflow.op.io: Decode web-safe base64-encoded strings.
DecodeBase64(Operation) - Constructor for class org.tensorflow.op.io.DecodeBase64
DecodeBase64.Inputs - Class in org.tensorflow.op.io
decodeBmp(Operand<TString>, DecodeBmp.Options...) - Method in class org.tensorflow.op.ImageOps: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp - Class in org.tensorflow.op.image: Decode the first frame of a BMP-encoded image to a uint8 tensor.
DecodeBmp(Operation) - Constructor for class org.tensorflow.op.image.DecodeBmp
DecodeBmp.Inputs - Class in org.tensorflow.op.image
DecodeBmp.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeBmp
decodeCompressed(Operand<TString>, DecodeCompressed.Options...) - Method in class org.tensorflow.op.IoOps: Decompress strings.
DecodeCompressed - Class in org.tensorflow.op.io: Decompress strings.
DecodeCompressed(Operation) - Constructor for class org.tensorflow.op.io.DecodeCompressed
DecodeCompressed.Inputs - Class in org.tensorflow.op.io
DecodeCompressed.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCompressed
decodeCsv(Operand<TString>, Iterable<Operand<?>>, DecodeCsv.Options...) - Method in class org.tensorflow.op.IoOps: Convert CSV records to tensors.
DecodeCsv - Class in org.tensorflow.op.io: Convert CSV records to tensors.
DecodeCsv(Operation) - Constructor for class org.tensorflow.op.io.DecodeCsv
DecodeCsv.Inputs - Class in org.tensorflow.op.io
DecodeCsv.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeCsv
decodedIndices() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedIndices.
decodedIndices() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedIndices.
decodedShape() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedShape.
decodedShape() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedShape.
decodedValues() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets decodedValues.
decodedValues() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets decodedValues.
decodeGif(Operand<TString>) - Method in class org.tensorflow.op.ImageOps: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif - Class in org.tensorflow.op.image: Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
DecodeGif(Operation) - Constructor for class org.tensorflow.op.image.DecodeGif
DecodeGif.Inputs - Class in org.tensorflow.op.image
decodeImage(Operand<TString>, Class<T>, DecodeImage.Options...) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
decodeImage(Operand<TString>, DecodeImage.Options[]) - Method in class org.tensorflow.op.ImageOps: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage<T extends TNumber> - Class in org.tensorflow.op.image: Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.
DecodeImage(Operation) - Constructor for class org.tensorflow.op.image.DecodeImage
DecodeImage.Inputs - Class in org.tensorflow.op.image
DecodeImage.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeImage
decodeJpeg(Operand<TString>, DecodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg - Class in org.tensorflow.op.image: Decode a JPEG-encoded image to a uint8 tensor.
DecodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.DecodeJpeg
DecodeJpeg.Inputs - Class in org.tensorflow.op.image
DecodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for DecodeJpeg
decodeJsonExample(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample - Class in org.tensorflow.op.io: Convert JSON-encoded Example records to binary protocol buffer strings.
DecodeJsonExample(Operation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample
DecodeJsonExample.Inputs - Class in org.tensorflow.op.io
decodePaddedRaw(Operand<TString>, Operand<TInt32>, Class<T>, DecodePaddedRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw<T extends TNumber> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodePaddedRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw
DecodePaddedRaw.Inputs - Class in org.tensorflow.op.io
DecodePaddedRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodePaddedRaw
decodePng(Operand<TString>, Class<T>, DecodePng.Options...) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
decodePng(Operand<TString>, DecodePng.Options[]) - Method in class org.tensorflow.op.ImageOps: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng<T extends TNumber> - Class in org.tensorflow.op.image: Decode a PNG-encoded image to a uint8 or uint16 tensor.
DecodePng(Operation) - Constructor for class org.tensorflow.op.image.DecodePng
DecodePng.Inputs - Class in org.tensorflow.op.image
DecodePng.Options - Class in org.tensorflow.op.image: Optional attributes for DecodePng
decodeProto(Operand<TString>, String, List<String>, List<Class<? extends TType>>, DecodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto - Class in org.tensorflow.op.core: The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto(Operation) - Constructor for class org.tensorflow.op.core.DecodeProto
DecodeProto.Inputs - Class in org.tensorflow.op.core
DecodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for DecodeProto
decodeRaw(Operand<TString>, Class<T>, DecodeRaw.Options...) - Method in class org.tensorflow.op.IoOps: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw<T extends TType> - Class in org.tensorflow.op.io: Reinterpret the bytes of a string as a vector of numbers.
DecodeRaw(Operation) - Constructor for class org.tensorflow.op.io.DecodeRaw
DecodeRaw.Inputs - Class in org.tensorflow.op.io
DecodeRaw.Options - Class in org.tensorflow.op.io: Optional attributes for DecodeRaw
decodeWav(Operand<TString>, DecodeWav.Options...) - Method in class org.tensorflow.op.AudioOps: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav - Class in org.tensorflow.op.audio: Decode a 16-bit PCM WAV file to a float tensor.
DecodeWav(Operation) - Constructor for class org.tensorflow.op.audio.DecodeWav
DecodeWav.Inputs - Class in org.tensorflow.op.audio
DecodeWav.Options - Class in org.tensorflow.op.audio: Optional attributes for DecodeWav
deduplicationData - Variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs: A Tensor with type=DT_VARIANT containing the deduplication data.
deduplicationData - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A Tensor with type=DT_VARIANT containing the deduplication data.
deepCopy(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes a copy of x.
DeepCopy<T extends TType> - Class in org.tensorflow.op.core: Makes a copy of x.
DeepCopy(Operation) - Constructor for class org.tensorflow.op.core.DeepCopy
DeepCopy.Inputs<T extends TType> - Class in org.tensorflow.op.core
DEFAULT_KEY - Static variable in class org.tensorflow.Signature: The default signature key, when not provided
DEFAULT_TAG - Static variable in class org.tensorflow.SavedModelBundle
defaultValue - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The defaultValue input
defaultValue - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The defaultValue input
defaultValue - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The default_value when the shape is larger than the ragged tensor.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 0-D.
defaultValue - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: Scalar value to set for indices not specified in sparse_indices.
deletedKey - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The deletedKey input
deletedKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The deletedKey input
deleteIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
DeleteIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteIterator
DeleteIterator.Inputs - Class in org.tensorflow.op.data
deleteMemoryCache(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The DeleteMemoryCache operation
DeleteMemoryCache - Class in org.tensorflow.op.data: The DeleteMemoryCache operation
DeleteMemoryCache(Operation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache
DeleteMemoryCache.Inputs - Class in org.tensorflow.op.data
deleteMultiDeviceIterator(Operand<? extends TType>, Iterable<Operand<? extends TType>>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: A container for an iterator resource.
DeleteMultiDeviceIterator - Class in org.tensorflow.op.data: A container for an iterator resource.
DeleteMultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator
DeleteMultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
deleteOldDirs - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: see above.
deleteOldDirs(Boolean) - Static method in class org.tensorflow.op.train.MergeV2Checkpoints: Sets the deleteOldDirs option.
deleteOldDirs(Boolean) - Method in class org.tensorflow.op.train.MergeV2Checkpoints.Options: Sets the deleteOldDirs option.
deleter - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A variant deleter.
deleter - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A variant deleter.
deleter - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The deleter input
deleter - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The deleter input
deleter() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets deleter.
deleter() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets deleter.
deleteRandomSeedGenerator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: The DeleteRandomSeedGenerator operation
DeleteRandomSeedGenerator - Class in org.tensorflow.op.random: The DeleteRandomSeedGenerator operation
DeleteRandomSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator
DeleteRandomSeedGenerator.Inputs - Class in org.tensorflow.op.random
deleteSeedGenerator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: The DeleteSeedGenerator operation
DeleteSeedGenerator - Class in org.tensorflow.op.random: The DeleteSeedGenerator operation
DeleteSeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator
DeleteSeedGenerator.Inputs - Class in org.tensorflow.op.random
deleteSessionTensor(Operand<TString>) - Method in class org.tensorflow.op.Ops: Delete the tensor specified by its handle in the session.
DeleteSessionTensor - Class in org.tensorflow.op.core: Delete the tensor specified by its handle in the session.
DeleteSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor
DeleteSessionTensor.Inputs - Class in org.tensorflow.op.core
delimiter - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Delimiter to separate fields in a line.
delimiter(String) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the delimiter option.
delimiter(String) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the delimiter option.
delta - Variable in class org.tensorflow.op.core.For.Inputs: The increment.
delta - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
delta - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: A float delta to add to the hue.
delta - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The amount of advancement.
delta - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The change.
delta - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The change.
deltas - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The deltas of each range.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: R-D.
dense - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: R-D.
dense() - Method in class org.tensorflow.op.sparse.SparseToDense: Gets dense.
denseBincount(Operand<T>, Operand<T>, Operand, DenseBincount.Options...) - Method in class org.tensorflow.op.MathOps: Counts the number of occurrences of each value in an integer array.
DenseBincount - Class in org.tensorflow.op.math: Counts the number of occurrences of each value in an integer array.
DenseBincount(Operation) - Constructor for class org.tensorflow.op.math.DenseBincount
DenseBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.math
DenseBincount.Options - Class in org.tensorflow.op.math: Optional attributes for DenseBincount
denseCountSparseOutput(Operand<? extends TNumber>, Operand, Boolean, DenseCountSparseOutput.Options...) - Method in class org.tensorflow.op.SparseOps: Performs sparse-output bin counting for a tf.tensor input.
DenseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a tf.tensor input.
DenseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput
DenseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
DenseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseCountSparseOutput
denseDefaults - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A dict mapping string keys to Tensors.
denseDefaults - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of Tensors (some may be empty).
denseDefaults - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of Tensors (some may be empty), whose length matches the length of dense_keys.
denseFeatures - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of matrices which contains the dense feature values.
denseInput - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: A Dense tensor.
denseInputs - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The tf.Tensor inputs.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
denseInputs - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
denseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of Ndense string Tensors (scalars).
denseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
denseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The keys expected in the Examples' features associated with dense values.
denseOutput() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: Gets denseOutput.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: dimension 0 of "data" passed to SparseSegmentMean op.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSqrtN op.
denseOutputDim0 - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: dimension 0 of "data" passed to SparseSegmentSum op.
denseShape - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The denseShape input
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The desired matrix shape.
denseShape - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor dense shape.
denseShape - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int64 Tensor.
denseShape - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the dense shape of the sparse tensor to count.
denseShape - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D.
denseShape() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets denseShape.
denseShape() - Method in interface org.tensorflow.SparseTensor: Gets the sparse tensor dimensions defining the shape in that tensor in a dense space.
denseShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: List of tuples with the same length as dense_keys.
denseShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: List of tuples with the same length as dense_keys.
denseShapes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_dense shapes; the shapes of data in each Feature given in dense_keys (where num_dense = dense_keys.size()).
denseShapes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The shapes of data in each Feature given in dense_keys.
denseToCSRSparseMatrix(Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a dense tensor to a (possibly batched) CSRSparseMatrix.
DenseToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a dense tensor to a (possibly batched) CSRSparseMatrix.
DenseToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix
DenseToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
denseToDenseSetOperation(Operand<T>, Operand<T>, String, DenseToDenseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 Tensor inputs.
DenseToDenseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation
DenseToDenseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
DenseToDenseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToDenseSetOperation
denseToSparseBatchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that batches input elements into a SparseTensor.
denseToSparseBatchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that batches input elements into a SparseTensor.
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset
DenseToSparseBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data
DenseToSparseBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
denseToSparseSetOperation(Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, DenseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of Tensor and SparseTensor.
DenseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation
DenseToSparseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
DenseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for DenseToSparseSetOperation
denseTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The denseTypes attribute
denseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The denseTypes attribute
denseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets denseValues.
denseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets denseValues.
denseValuesGrad() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: Gets denseValuesGrad.
denseValuesShape - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Shape of the dense_values that was used as an input to the RaggedTensorToVariant op.
denseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where the values are the weights associated with a dense feature group.
densityUnit - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Unit used to specify x_density and y_density: pixels per inch ('in') or centimeter ('cm').
densityUnit(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the densityUnit option.
densityUnit(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the densityUnit option.
depth - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the depth of the one hot dimension.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 0-D.
depthRadius - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: A depth radius.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalization: Sets the depthRadius option.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalization.Options: Sets the depthRadius option.
depthRadius(Long) - Static method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Sets the depthRadius option.
depthRadius(Long) - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Options: Sets the depthRadius option.
depthToSpace(Operand<T>, Long, DepthToSpace.Options...) - Method in class org.tensorflow.op.NnOps: DepthToSpace for tensors of type T.
DepthToSpace<T extends TType> - Class in org.tensorflow.op.nn: DepthToSpace for tensors of type T.
DepthToSpace(Operation) - Constructor for class org.tensorflow.op.nn.DepthToSpace
DepthToSpace.Inputs<T extends TType> - Class in org.tensorflow.op.nn
DepthToSpace.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthToSpace
depthwiseConv2dNative(Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNative.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative<T extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2-D depthwise convolution given 4-D input and filter tensors.
DepthwiseConv2dNative(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative
DepthwiseConv2dNative.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNative.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNative
depthwiseConv2dNativeBackpropFilter(Operand<T>, Operand<TInt32>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropFilter.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the filter.
DepthwiseConv2dNativeBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter
DepthwiseConv2dNativeBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropFilter.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropFilter
depthwiseConv2dNativeBackpropInput(Operand<TInt32>, Operand<T>, Operand<T>, List<Long>, String, DepthwiseConv2dNativeBackpropInput.Options...) - Method in class org.tensorflow.op.NnOps: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradients of depthwise convolution with respect to the input.
DepthwiseConv2dNativeBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput
DepthwiseConv2dNativeBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
DepthwiseConv2dNativeBackpropInput.Options - Class in org.tensorflow.op.nn: Optional attributes for DepthwiseConv2dNativeBackpropInput
dequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class, Dequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
dequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Dequantize.Options[]) - Method in class org.tensorflow.op.QuantizationOps: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize - Class in org.tensorflow.op.quantization: Dequantize the 'input' tensor into a float or bfloat16 Tensor.
Dequantize(Operation) - Constructor for class org.tensorflow.op.quantization.Dequantize
Dequantize.Inputs - Class in org.tensorflow.op.quantization
Dequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Dequantize
describeByClass() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Indicates that the class description should be copied in the documentation of this endpoint, instead of the description of the annotated method.
descriptorSource - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either the special value local:// or a path to a file containing a serialized FileDescriptorSet.
descriptorSource - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The descriptorSource attribute
descriptorSource(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the descriptorSource option.
descriptorSource(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the descriptorSource option.
descriptorSource(String) - Static method in class org.tensorflow.op.core.EncodeProto: Sets the descriptorSource option.
descriptorSource(String) - Method in class org.tensorflow.op.core.EncodeProto.Options: Sets the descriptorSource option.
deserializeIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator - Class in org.tensorflow.op.data: Converts the given variant tensor to an iterator and stores it in the given resource.
DeserializeIterator(Operation) - Constructor for class org.tensorflow.op.data.DeserializeIterator
DeserializeIterator.Inputs - Class in org.tensorflow.op.data
deserializeManySparse(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.IoOps: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse<T extends TType> - Class in org.tensorflow.op.io: Deserialize and concatenate SparseTensors from a serialized minibatch.
DeserializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse
DeserializeManySparse.Inputs - Class in org.tensorflow.op.io
deserializeSparse(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.SparseOps: Deserialize SparseTensor objects.
DeserializeSparse - Class in org.tensorflow.op.sparse: Deserialize SparseTensor objects.
DeserializeSparse(Operation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse
DeserializeSparse.Inputs - Class in org.tensorflow.op.sparse
desiredChannels - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Number of sample channels wanted.
desiredChannels(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredChannels option.
desiredChannels(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredChannels option.
desiredSamples - Variable in class org.tensorflow.op.audio.DecodeWav.Inputs: Length of audio requested.
desiredSamples(Long) - Static method in class org.tensorflow.op.audio.DecodeWav: Sets the desiredSamples option.
desiredSamples(Long) - Method in class org.tensorflow.op.audio.DecodeWav.Options: Sets the desiredSamples option.
destinationPrefix - Variable in class org.tensorflow.op.train.MergeV2Checkpoints.Inputs: scalar.
destroyResourceOp(Operand<? extends TType>, DestroyResourceOp.Options...) - Method in class org.tensorflow.op.Ops: Deletes the resource specified by the handle.
DestroyResourceOp - Class in org.tensorflow.op.core: Deletes the resource specified by the handle.
DestroyResourceOp(Operation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp
DestroyResourceOp.Inputs - Class in org.tensorflow.op.core
DestroyResourceOp.Options - Class in org.tensorflow.op.core: Optional attributes for DestroyResourceOp
destroyTemporaryVariable(Operand<T>, String) - Method in class org.tensorflow.op.Ops: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable<T extends TType> - Class in org.tensorflow.op.core: Destroys the temporary variable and returns its final value.
DestroyTemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable
DestroyTemporaryVariable.Inputs<T extends TType> - Class in org.tensorflow.op.core
det(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the determinant of one or more square matrices.
Det<T extends TType> - Class in org.tensorflow.op.linalg: Computes the determinant of one or more square matrices.
Det(Operation) - Constructor for class org.tensorflow.op.linalg.Det
Det.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
deterministic - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The deterministic attribute
deterministic - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A string indicating the op-level determinism to use.
deterministic - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalAvgPool node in the computation graph.
deterministic - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, a fixed pooling region will be used when iterating over a FractionalMaxPool node in the computation graph.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the deterministic option.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the deterministic option.
deterministic(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the deterministic option.
deterministic(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelFilterDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the deterministic option.
deterministic(String) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the deterministic option.
deterministic(String) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the deterministic option.
device() - Method in class org.tensorflow.GraphOperation: Get the op's device.
device() - Method in class org.tensorflow.op.data.experimental.IteratorGetDevice: Gets device.
device() - Method in class org.tensorflow.op.data.IteratorGetDevice: Gets device.
deviceAssignment - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The assignment of devices for the computation.
deviceAssignment - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The assignment of devices for the computation.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(Long...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(Long...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(List<Long>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the deviceAssignment option.
deviceAssignment(List<Long>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the deviceAssignment option.
deviceAssignment(List<Long>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the deviceAssignment option.
deviceAssignment(List<Long>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the deviceAssignment option.
deviceIndex - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The deviceIndex input
deviceIndex() - Method in class org.tensorflow.DeviceSpec
deviceIndex(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
deviceIndex(List<String>) - Method in class org.tensorflow.op.Ops: Return the index of device the op runs.
DeviceIndex - Class in org.tensorflow.op.core: Return the index of device the op runs.
DeviceIndex(Operation) - Constructor for class org.tensorflow.op.core.DeviceIndex
DeviceIndex.Inputs - Class in org.tensorflow.op.core
deviceName - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the device on which the tensor resides.
deviceName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The deviceName attribute
deviceName(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the deviceName option.
deviceName(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the deviceName option.
deviceName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the deviceName option.
deviceName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the deviceName option.
deviceNames - Variable in class org.tensorflow.op.core.DeviceIndex.Inputs: The deviceNames attribute
deviceOrdinal - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The deviceOrdinal input
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: An int scalar tensor, representing the TPU device to use.
deviceOrdinal - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The TPU device ordinal to run the function on.
deviceOrdinal() - Method in class org.tensorflow.op.tpu.TPURoundRobin: Gets deviceOrdinal.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeue: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeue.Options: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Static method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Sets the deviceOrdinal option.
deviceOrdinal(Long) - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Options: Sets the deviceOrdinal option.
deviceOrdinals() - Method in class org.tensorflow.op.tpu.OrdinalSelector: Gets deviceOrdinals.
devicePlacementPolicy(EagerSession.DevicePlacementPolicy) - Method in class org.tensorflow.EagerSession.Options: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
devices - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The devices attribute
devices - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: A list of devices the iterator works across.
DeviceSpec - Class in org.tensorflow: Represents a (possibly partial) specification for a TensorFlow device.
DeviceSpec.Builder - Class in org.tensorflow: A Builder class for building DeviceSpec class.
DeviceSpec.DeviceType - Enum in org.tensorflow
deviceType() - Method in class org.tensorflow.DeviceSpec
deviceType(DeviceSpec.DeviceType) - Method in class org.tensorflow.DeviceSpec.Builder
deviceVarReadsIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarReadsIndices attribute
deviceVarUpdatesIndices - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The deviceVarUpdatesIndices attribute
dg() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dg.
dH - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The dH input
dHPrev() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dHPrev.
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The diagonal input
diagonal - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The diagonal input
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Rank r, where r >= 1
diagonal - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Rank r, where r >= 1
diagonal - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r when k is an integer or k[0] == k[1].
diagonal - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: Rank k tensor where k is at most 1.
diagonal() - Method in class org.tensorflow.op.linalg.BatchMatrixDiagPart: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPart: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.MatrixDiagPartV3: Gets diagonal.
diagonal() - Method in class org.tensorflow.op.linalg.TensorDiagPart: Gets diagonal.
diagonals - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., 3, M] whose innermost 2 dimensions represent the tridiagonal matrices with three rows being the superdiagonal, diagonals, and subdiagonals, in order.
dicfo() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets dicfo.
digamma(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma<T extends TNumber> - Class in org.tensorflow.op.math: Computes Psi, the derivative of Lgamma (the log of the absolute value of Gamma(x)), element-wise.
Digamma(Operation) - Constructor for class org.tensorflow.op.math.Digamma
Digamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
dilation2d(Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the grayscale dilation of 4-D input and 3-D filter tensors.
Dilation2d(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2d
Dilation2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
dilation2dBackpropFilter(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the filter.
Dilation2dBackpropFilter(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter
Dilation2dBackpropFilter.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
dilation2dBackpropInput(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the gradient of morphological 2-D dilation with respect to the input.
Dilation2dBackpropInput(Operation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput
Dilation2dBackpropInput.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
dilations - Variable in class org.tensorflow.op.nn.Conv.Inputs: 1-D tensor of length N+2.
dilations - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: 1-D tensor of length 4.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The dilations attribute
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of dilation values.
dilations - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of dilation values.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3d: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.Conv3dBackpropInput: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.Conv3dBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2d: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2d.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the dilations option.
dilations(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the dilations option.
dilations(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the dilations option.
dim - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor representing each sample's dimension.
dimension - Variable in class org.tensorflow.op.math.ArgMax.Inputs: int16, int32 or int64, must be in the range [-rank(input), rank(input)).
dimension - Variable in class org.tensorflow.op.math.ArgMin.Inputs: int32 or int64, must be in the range [-rank(input), rank(input)).
dimensionNumbers - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Structure of dimension information for the convolution op.
dimensionNumbers - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Structure of dimension information for the convolution op.
dimensionNumbers(String) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the dimensionNumbers option.
dimensionNumbers(String) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the dimensionNumbers option.
dimensionNumbers(String) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the dimensionNumbers option.
dimensionNumbers(String) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the dimensionNumbers option.
dims - Variable in class org.tensorflow.op.core.Fill.Inputs: 1-D.
dims - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 1-D int Tensor.
directedInterleaveDataset(Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: A substitute for InterleaveDataset on a fixed list of N datasets.
directedInterleaveDataset(Operand<? extends TType>, Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, DirectedInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset - Class in org.tensorflow.op.data: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset - Class in org.tensorflow.op.data.experimental: A substitute for InterleaveDataset on a fixed list of N datasets.
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset
DirectedInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data
DirectedInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
DirectedInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for DirectedInterleaveDataset
direction - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The direction attribute
direction - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The direction attribute
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the direction option.
direction(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the direction option.
direction(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the direction option.
directory - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The directory input
disableCopyOnRead(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Turns off the copy-on-read mode.
DisableCopyOnRead - Class in org.tensorflow.op.io: Turns off the copy-on-read mode.
DisableCopyOnRead(Operation) - Constructor for class org.tensorflow.op.io.DisableCopyOnRead
DisableCopyOnRead.Inputs - Class in org.tensorflow.op.io
displayName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations.
displayName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: A human-readable name for the threads that may be visible in some visualizations.
distances - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Vector with squared distances to the closest previously sampled cluster center for each candidate point.
distortion - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The distortion is used to skew the unigram probability distribution.
distortion(Float) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the distortion option.
distortion(Float) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the distortion option.
distribute - Variable in class org.tensorflow.op.Ops
distributedSave(Operand<? extends TType>, Operand<TString>, Operand<TString>, DistributedSave.Options...) - Method in class org.tensorflow.op.TrainOps: The DistributedSave operation
DistributedSave - Class in org.tensorflow.op.train: The DistributedSave operation
DistributedSave(Operation) - Constructor for class org.tensorflow.op.train.DistributedSave
DistributedSave.Inputs - Class in org.tensorflow.op.train
DistributedSave.Options - Class in org.tensorflow.op.train: Optional attributes for DistributedSave
DistributeOps - Class in org.tensorflow.op: An API for building distribute operations as Ops
div(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise.
Div<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise.
Div(Operation) - Constructor for class org.tensorflow.op.math.Div
Div.Inputs<T extends TType> - Class in org.tensorflow.op.math
divNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if the denominator is zero.
DivNoNan<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if the denominator is zero.
DivNoNan(Operation) - Constructor for class org.tensorflow.op.math.DivNoNan
DivNoNan.Inputs<T extends TType> - Class in org.tensorflow.op.math
dm() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dm.
drawBoundingBoxes(Operand<T>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Draw bounding boxes on a batch of images.
DrawBoundingBoxes<T extends TNumber> - Class in org.tensorflow.op.image: Draw bounding boxes on a batch of images.
DrawBoundingBoxes(Operation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes
DrawBoundingBoxes.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
dRBarUBar() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dRBarUBar.
driverName - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The database type.
driverName - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The database type.
dropout - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The dropout attribute
dropout - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The dropout attribute
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the dropout option.
dropout(Float) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the dropout option.
dropout(Float) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the dropout option.
dropRemainder - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
dropRemainder - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The dropRemainder input
dropRemainder - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The dropRemainder attribute
dropRemainder - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: A Boolean scalar, representing whether the last window should be dropped if its size is smaller than window_size.
dropRemainder(Boolean) - Static method in class org.tensorflow.op.data.SlidingWindowDataset: Sets the dropRemainder option.
dropRemainder(Boolean) - Method in class org.tensorflow.op.data.SlidingWindowDataset.Options: Sets the dropRemainder option.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: destination data format.
dstFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: destination data format.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the dstFormat option.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the dstFormat option.
dstFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the dstFormat option.
dstFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the dstFormat option.
DstT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The DstT attribute
dt - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: The type of the tensor to be restored.
dTensorRestore(Operand<TString>, Operand<TString>, Operand<TString>, List<Shape>, List<String>, List<Class<? extends TType>>) - Method in class org.tensorflow.op.TpuOps: The DTensorRestoreV2 operation
DTensorRestore - Class in org.tensorflow.op.tpu: The DTensorRestoreV2 operation
DTensorRestore(Operation) - Constructor for class org.tensorflow.op.tpu.DTensorRestore
DTensorRestore.Inputs - Class in org.tensorflow.op.tpu
dtype - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.Empty.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.FakeParam.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The type of the output value.
dtype - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.HostConst.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Type of the returned tensor.
dtype - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.Placeholder.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The dtype of the input and output.
dtype - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: the dtype of the value.
dtype - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The type of the elements on the tensor_array.
dtype - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The type of the elem that is returned.
dtype - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the type of this variable.
dtype - Variable in class org.tensorflow.op.core.Variable.Inputs: The type of elements in the variable tensor.
dtype - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: The desired DType of the returned Tensor.
dtype - Variable in class org.tensorflow.op.image.DecodePng.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Input dtype.
dtype - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: The dtype of the serialized SparseTensor objects.
dtype - Variable in class org.tensorflow.op.math.SobolSample.Inputs: The type of the sample.
dtype - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: Type of the output tensor.
dtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The type of the output.
dtype - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The dtype of the serialized SparseTensor objects.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The dtype of the SparseTensor objects stored in the SparseTensorsMap.
dtype - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: The dtype attribute
dtype - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The type of elements in the tensor.
dtype - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The type of the value being accumulated.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The data type of accumulated gradients.
dtype - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The type of the value being accumulated.
dtypes - Variable in class org.tensorflow.op.core.MapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Stage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageClear.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.StageSize.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.core.Unstage.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.Ops
dtypes - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The element types of each element in inputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The element types of each element in outputs.
dtypes - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: The dtypes attribute
dtypes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The element types of each element in inputs.
dtypes - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
dtypes - Variable in class org.tensorflow.op.train.Save.Inputs: The dtypes attribute
DtypesOps - Class in org.tensorflow.op: An API for building dtypes operations as Ops
dummyIterationCounter() - Method in class org.tensorflow.op.DataOps: The DummyIterationCounter operation
DummyIterationCounter - Class in org.tensorflow.op.data: The DummyIterationCounter operation
DummyIterationCounter(Operation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter
DummyIterationCounter.Inputs - Class in org.tensorflow.op.data
dummyMemoryCache() - Method in class org.tensorflow.op.Ops: The DummyMemoryCache operation
DummyMemoryCache - Class in org.tensorflow.op.core: The DummyMemoryCache operation
DummyMemoryCache(Operation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache
DummyMemoryCache.Inputs - Class in org.tensorflow.op.core
dummySeedGenerator() - Method in class org.tensorflow.op.RandomOps: The DummySeedGenerator operation
DummySeedGenerator - Class in org.tensorflow.op.random: The DummySeedGenerator operation
DummySeedGenerator(Operation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator
DummySeedGenerator.Inputs - Class in org.tensorflow.op.random
dv() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dv.
dValues() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: Gets dValues.
dValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: Gets dValues.
dx() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: Gets dx.
dx(Iterable<? extends Operand<?>>) - Static method in class org.tensorflow.op.core.Gradients
dx(Iterable<? extends Operand<?>>) - Method in class org.tensorflow.op.core.Gradients.Options
dX() - Method in class org.tensorflow.op.nn.GRUBlockCellGrad: Gets dX.
dy - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The dy input
dy - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The dy input
dy() - Method in class org.tensorflow.op.core.Gradients: Partial derivatives of ys w.r.t.
dy(int) - Method in class org.tensorflow.op.core.Gradients: Returns a symbolic handle to one of the gradient operation output
dynamicEnqueueTPUEmbeddingArbitraryTensorBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, Operand<TInt32>, DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs - Class in org.tensorflow.op.tpu
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for DynamicEnqueueTPUEmbeddingArbitraryTensorBatch
dynamicEnqueueTPUEmbeddingRaggedTensorBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, Operand<TInt32>, List<Long>, DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: The DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation
DynamicEnqueueTPUEmbeddingRaggedTensorBatch - Class in org.tensorflow.op.tpu: The DynamicEnqueueTPUEmbeddingRaggedTensorBatch operation
DynamicEnqueueTPUEmbeddingRaggedTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch
DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs - Class in org.tensorflow.op.tpu
DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for DynamicEnqueueTPUEmbeddingRaggedTensorBatch
dynamicPartition(Operand<T>, Operand<TInt32>, Long) - Method in class org.tensorflow.op.Ops: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition<T extends TType> - Class in org.tensorflow.op.core: Partitions data into num_partitions tensors using indices from partitions.
DynamicPartition(Operation) - Constructor for class org.tensorflow.op.core.DynamicPartition
DynamicPartition.Inputs<T extends TType> - Class in org.tensorflow.op.core
dynamicShapes - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The dynamicShapes input
dynamicSize - Variable in class org.tensorflow.op.core.TensorArray.Inputs: A boolean that determines whether writes to the TensorArray are allowed to grow the size.
dynamicSize(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the dynamicSize option.
dynamicSize(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the dynamicSize option.
dynamicStitch(Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
DynamicStitch<T extends TType> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
DynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.DynamicStitch
DynamicStitch.Inputs<T extends TType> - Class in org.tensorflow.op.core

E

e - Variable in class org.tensorflow.op.core.Select.Inputs: The e input
e() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets e.
e() - Method in class org.tensorflow.op.linalg.Eig: Gets e.
e() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets e.
EAGER - Enum constant in enum org.tensorflow.ExecutionEnvironment.Types
EagerSession - Class in org.tensorflow: An environment for executing TensorFlow operations eagerly.
EagerSession.DevicePlacementPolicy - Enum in org.tensorflow: Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
EagerSession.Options - Class in org.tensorflow
editDistance(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, EditDistance.Options...) - Method in class org.tensorflow.op.Ops: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance - Class in org.tensorflow.op.core: Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance(Operation) - Constructor for class org.tensorflow.op.core.EditDistance
EditDistance.Inputs<T extends TType> - Class in org.tensorflow.op.core
EditDistance.Options - Class in org.tensorflow.op.core: Optional attributes for EditDistance
eig(Operand<? extends TType>, Class, Eig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square matrices.
Eig - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square matrices.
Eig(Operation) - Constructor for class org.tensorflow.op.linalg.Eig
Eig.Inputs - Class in org.tensorflow.op.linalg
Eig.Options - Class in org.tensorflow.op.linalg: Optional attributes for Eig
einsum(Iterable<Operand<T>>, String) - Method in class org.tensorflow.op.LinalgOps: Tensor contraction according to Einstein summation convention.
Einsum<T extends TType> - Class in org.tensorflow.op.linalg: Tensor contraction according to Einstein summation convention.
Einsum(Operation) - Constructor for class org.tensorflow.op.linalg.Einsum
Einsum.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
elem - Variable in class org.tensorflow.op.core.StackPush.Inputs: The tensor to be pushed onto the stack.
elem() - Method in class org.tensorflow.op.core.StackPop: Gets elem.
elementDtype - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementDtype attribute
elementDtype - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementDtype attribute
elementShape - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The expected shape of an element, if known.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The expected shape of an element, if known.
elementShape - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The elementShape attribute
elementShape - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The elementShape input
elementShape - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The elementShape input
elementShape() - Method in class org.tensorflow.op.core.TensorListElementShape: Gets elementShape.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArray: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayGather: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayGather.Options: Sets the elementShape option.
elementShape(Shape) - Static method in class org.tensorflow.op.core.TensorArrayPack: Sets the elementShape option.
elementShape(Shape) - Method in class org.tensorflow.op.core.TensorArrayPack.Options: Sets the elementShape option.
elementShapeExcept0 - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The expected shape of an element, if known, excluding the first dimension.
elementShapeExcept0(Shape) - Static method in class org.tensorflow.op.core.TensorArrayConcat: Sets the elementShapeExcept0 option.
elementShapeExcept0(Shape) - Method in class org.tensorflow.op.core.TensorArrayConcat.Options: Sets the elementShapeExcept0 option.
elementSpec - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The elementSpec attribute
elementSpec(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the elementSpec option.
elementSpec(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the elementSpec option.
elemType - Variable in class org.tensorflow.op.core.StackCreate.Inputs: The type of the elements on the stack.
elemType - Variable in class org.tensorflow.op.core.StackPop.Inputs: The type of the elem that is popped.
ellipsisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i being 1 means the ith position is actually an ellipsis.
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The ellipsisMask attribute
ellipsisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The ellipsisMask attribute
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the ellipsisMask option.
ellipsisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the ellipsisMask option.
ellipsisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the ellipsisMask option.
elu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes the exponential linear function.
Elu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the exponential linear function.
Elu(Operation) - Constructor for class org.tensorflow.op.nn.Elu
Elu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
eluGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes gradients for the exponential linear (Elu) operation.
EluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients for the exponential linear (Elu) operation.
EluGrad(Operation) - Constructor for class org.tensorflow.op.nn.EluGrad
EluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
embeddingActivations(Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op enabling differentiation of TPU Embeddings.
EmbeddingActivations - Class in org.tensorflow.op.tpu: An op enabling differentiation of TPU Embeddings.
EmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations
EmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
embeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
embeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the embeddingConfig option.
embeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the embeddingConfig option.
embeddingIndices - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The embeddingIndices input
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors, indices into the embedding tables.
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The embeddingTable input
embeddingTable - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The embeddingTable input
embeddingVariable - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: A trainable variable, enabling optimizers to find this op.
embeddingVariable - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

A trainable variable, enabling optimizers to find this op.
empty(Operand<TInt32>, Class<T>, Empty.Options...) - Method in class org.tensorflow.op.Ops: Creates a tensor with the given shape.
Empty<T extends TType> - Class in org.tensorflow.op.core: Creates a tensor with the given shape.
Empty(Operation) - Constructor for class org.tensorflow.op.core.Empty
Empty.Inputs - Class in org.tensorflow.op.core
Empty.Options - Class in org.tensorflow.op.core: Optional attributes for Empty
emptyKey - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The key used to represent empty key buckets internally.
emptyKey - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The key used to represent empty key buckets internally.
emptyRowIndicator() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets emptyRowIndicator.
emptyRowIndicator() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets emptyRowIndicator.
emptyTensorList(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor list.
EmptyTensorList - Class in org.tensorflow.op.core: Creates and returns an empty tensor list.
EmptyTensorList(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorList
EmptyTensorList.Inputs - Class in org.tensorflow.op.core
emptyTensorMap() - Method in class org.tensorflow.op.Ops: Creates and returns an empty tensor map.
EmptyTensorMap - Class in org.tensorflow.op.core: Creates and returns an empty tensor map.
EmptyTensorMap(Operation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap
EmptyTensorMap.Inputs - Class in org.tensorflow.op.core
enableLargeBatchSplitting - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: input with a large size (i.e., larger than the largest value of allowed_batch_sizes) will be splitted into multiple batches with batch size.
enableLargeBatchSplitting(Boolean) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the enableLargeBatchSplitting option.
enableLargeBatchSplitting(Boolean) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the enableLargeBatchSplitting option.
enableWholeMeshCompilations - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The enableWholeMeshCompilations attribute
enableWholeMeshCompilations(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the enableWholeMeshCompilations option.
enableWholeMeshCompilations(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the enableWholeMeshCompilations option.
encodeBase64(Operand<TString>, EncodeBase64.Options...) - Method in class org.tensorflow.op.IoOps: Encode strings into web-safe base64 format.
EncodeBase64 - Class in org.tensorflow.op.io: Encode strings into web-safe base64 format.
EncodeBase64(Operation) - Constructor for class org.tensorflow.op.io.EncodeBase64
EncodeBase64.Inputs - Class in org.tensorflow.op.io
EncodeBase64.Options - Class in org.tensorflow.op.io: Optional attributes for EncodeBase64
encoded - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: A scalar variant Tensor containing an encoded ExtensionType value.
encoded() - Method in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: Gets encoded.
encodedRagged - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: A variant Tensor containing encoded RaggedTensors.
encodedRagged() - Method in class org.tensorflow.op.ragged.RaggedTensorToVariant: Gets encodedRagged.
encodedRaggedGrad - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: A variant Tensor containing encoded RaggedTensor gradients.
encodeJpeg(Operand<TUint8>, EncodeJpeg.Options...) - Method in class org.tensorflow.op.ImageOps: JPEG-encode an image.
EncodeJpeg - Class in org.tensorflow.op.image: JPEG-encode an image.
EncodeJpeg(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpeg
EncodeJpeg.Inputs - Class in org.tensorflow.op.image
EncodeJpeg.Options - Class in org.tensorflow.op.image: Optional attributes for EncodeJpeg
encodeJpegVariableQuality(Operand<TUint8>, Operand<TInt32>) - Method in class org.tensorflow.op.ImageOps: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality - Class in org.tensorflow.op.image: JPEG encode input image with provided compression quality.
EncodeJpegVariableQuality(Operation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality
EncodeJpegVariableQuality.Inputs - Class in org.tensorflow.op.image
encodePng(Operand<? extends TNumber>, EncodePng.Options...) - Method in class org.tensorflow.op.ImageOps: PNG-encode an image.
EncodePng - Class in org.tensorflow.op.image: PNG-encode an image.
EncodePng(Operation) - Constructor for class org.tensorflow.op.image.EncodePng
EncodePng.Inputs - Class in org.tensorflow.op.image
EncodePng.Options - Class in org.tensorflow.op.image: Optional attributes for EncodePng
encodeProto(Operand<TInt32>, Iterable<Operand<?>>, List<String>, String, EncodeProto.Options...) - Method in class org.tensorflow.op.Ops: The op serializes protobuf messages provided in the input tensors.
EncodeProto - Class in org.tensorflow.op.core: The op serializes protobuf messages provided in the input tensors.
EncodeProto(Operation) - Constructor for class org.tensorflow.op.core.EncodeProto
EncodeProto.Inputs - Class in org.tensorflow.op.core
EncodeProto.Options - Class in org.tensorflow.op.core: Optional attributes for EncodeProto
encodeWav(Operand<TFloat32>, Operand<TInt32>) - Method in class org.tensorflow.op.AudioOps: Encode audio data using the WAV file format.
EncodeWav - Class in org.tensorflow.op.audio: Encode audio data using the WAV file format.
EncodeWav(Operation) - Constructor for class org.tensorflow.op.audio.EncodeWav
EncodeWav.Inputs - Class in org.tensorflow.op.audio
encoding - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: The type of encoding for the file.
encoding - Variable in class org.tensorflow.op.strings.Lower.Inputs: Character encoding of input.
encoding - Variable in class org.tensorflow.op.strings.Upper.Inputs: Character encoding of input.
encoding(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Lower: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.strings.Lower.Options: Sets the encoding option.
encoding(String) - Static method in class org.tensorflow.op.strings.Upper: Sets the encoding option.
encoding(String) - Method in class org.tensorflow.op.strings.Upper.Options: Sets the encoding option.
end - Variable in class org.tensorflow.op.core.Print.Inputs: The end attribute
end - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: end[i] is like begin with the exception that end_mask is used to determine full ranges.
end - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The end input
end - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The end input
end - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The end input
end(String) - Static method in class org.tensorflow.op.core.Print: Sets the end option.
end(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the end option.
endMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: analogous to begin_mask
endMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The endMask attribute
endMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The endMask attribute
endMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the endMask option.
endMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the endMask option.
endMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the endMask option.
Endpoint - Annotation Type in org.tensorflow.op.annotation: Annotation used to mark a method of a class annotated with @Operator that should generate an endpoint into Ops or one of its groups.
enqueueTPUEmbeddingArbitraryTensorBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, EnqueueTPUEmbeddingArbitraryTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingArbitraryTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingArbitraryTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch
EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingArbitraryTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingArbitraryTensorBatch
enqueueTPUEmbeddingBatch(Iterable<Operand<TString>>, Operand<TString>, EnqueueTPUEmbeddingBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingBatch - Class in org.tensorflow.op.tpu: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch
EnqueueTPUEmbeddingBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingBatch
enqueueTPUEmbeddingIntegerBatch(Iterable<Operand<TInt32>>, Operand<TString>, EnqueueTPUEmbeddingIntegerBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingIntegerBatch - Class in org.tensorflow.op.tpu: An op that enqueues a list of input batch tensors to TPUEmbedding.
EnqueueTPUEmbeddingIntegerBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch
EnqueueTPUEmbeddingIntegerBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingIntegerBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingIntegerBatch
enqueueTPUEmbeddingRaggedTensorBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingRaggedTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup().
EnqueueTPUEmbeddingRaggedTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup().
EnqueueTPUEmbeddingRaggedTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch
EnqueueTPUEmbeddingRaggedTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingRaggedTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingRaggedTensorBatch
enqueueTPUEmbeddingSparseBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, EnqueueTPUEmbeddingSparseBatch.Options...) - Method in class org.tensorflow.op.TpuOps: An op that enqueues TPUEmbedding input indices from a SparseTensor.
EnqueueTPUEmbeddingSparseBatch - Class in org.tensorflow.op.tpu: An op that enqueues TPUEmbedding input indices from a SparseTensor.
EnqueueTPUEmbeddingSparseBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch
EnqueueTPUEmbeddingSparseBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseBatch
enqueueTPUEmbeddingSparseTensorBatch(Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Iterable<Operand<? extends TNumber>>, Operand<TString>, List<Long>, EnqueueTPUEmbeddingSparseTensorBatch.Options...) - Method in class org.tensorflow.op.TpuOps: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingSparseTensorBatch - Class in org.tensorflow.op.tpu: Eases the porting of code that uses tf.nn.embedding_lookup_sparse().
EnqueueTPUEmbeddingSparseTensorBatch(Operation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch
EnqueueTPUEmbeddingSparseTensorBatch.Inputs - Class in org.tensorflow.op.tpu
EnqueueTPUEmbeddingSparseTensorBatch.Options - Class in org.tensorflow.op.tpu: Optional attributes for EnqueueTPUEmbeddingSparseTensorBatch
ensureMinimumRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The ensureMinimumRange attribute
ensureMinimumRange(Float) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the ensureMinimumRange option.
ensureMinimumRange(Float) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the ensureMinimumRange option.
ensureShape(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops: Ensures that the tensor's shape matches the expected shape.
EnsureShape<T extends TType> - Class in org.tensorflow.op.core: Ensures that the tensor's shape matches the expected shape.
EnsureShape(Operation) - Constructor for class org.tensorflow.op.core.EnsureShape
EnsureShape.Inputs<T extends TType> - Class in org.tensorflow.op.core
enter(Operand<T>, String, Enter.Options...) - Method in class org.tensorflow.op.Ops: Creates or finds a child frame, and makes data available to the child frame.
Enter<T extends TType> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
Enter(Operation) - Constructor for class org.tensorflow.op.core.Enter
Enter.Inputs<T extends TType> - Class in org.tensorflow.op.core
Enter.Options - Class in org.tensorflow.op.core: Optional attributes for Enter
env() - Method in class org.tensorflow.GraphOperation
env() - Method in class org.tensorflow.op.NativeScope
env() - Method in interface org.tensorflow.op.Op: Return the execution environment this op was created in.
env() - Method in class org.tensorflow.op.OpScope
env() - Method in interface org.tensorflow.op.Scope: Returns the execution environment used by this scope.
env() - Method in interface org.tensorflow.Operation: Returns the execution environment this operation was created in.
environmentType() - Method in class org.tensorflow.EagerSession
environmentType() - Method in interface org.tensorflow.ExecutionEnvironment: Get the type of this environment (from the `Environments` enumeration.
environmentType() - Method in class org.tensorflow.Graph
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A small float number added to the variance of x.
epsilon - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A small float number added to the variance of x.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Constant factor.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Ridge term.
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The epsilon input
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The epsilon input
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The epsilon attribute
epsilon - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The epsilon attribute
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the epsilon option.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the epsilon option.
epsilon(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the epsilon option.
epsilon(Float) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the epsilon option.
equal(Operand<T>, Operand<T>, Equal.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x == y) element-wise.
Equal - Class in org.tensorflow.op.math: Returns the truth value of (x == y) element-wise.
Equal(Operation) - Constructor for class org.tensorflow.op.math.Equal
Equal.Inputs<T extends TType> - Class in org.tensorflow.op.math
Equal.Options - Class in org.tensorflow.op.math: Optional attributes for Equal
equals(Object) - Method in class org.tensorflow.DeviceSpec
equals(Object) - Method in class org.tensorflow.GraphOperation
equals(Object) - Method in class org.tensorflow.op.RawOp
equals(Object) - Method in class org.tensorflow.op.RawOpInputs
equals(Object) - Method in class org.tensorflow.Output
equation - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: String describing the Einstein Summation operation; in the format of np.einsum.
erf(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the Gauss error function of x element-wise.
Erf<T extends TNumber> - Class in org.tensorflow.op.math: Computes the Gauss error function of x element-wise.
Erf(Operation) - Constructor for class org.tensorflow.op.math.Erf
Erf.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
erfc(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the complementary error function of x element-wise.
Erfc<T extends TNumber> - Class in org.tensorflow.op.math: Computes the complementary error function of x element-wise.
Erfc(Operation) - Constructor for class org.tensorflow.op.math.Erfc
Erfc.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
erfinv<T extends TNumber> - Class in org.tensorflow.op.math: The Erfinv operation
erfinv(Operation) - Constructor for class org.tensorflow.op.math.erfinv
erfinv(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Erfinv operation
erfinv.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
errorMsg - Variable in class org.tensorflow.op.core.Abort.Inputs: A string which is the message associated with the exception.
errorMsg(String) - Static method in class org.tensorflow.op.core.Abort: Sets the errorMsg option.
errorMsg(String) - Method in class org.tensorflow.op.core.Abort.Options: Sets the errorMsg option.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Error handling policy when there is invalid formatting found in the input.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the errors option.
errors(String) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the errors option.
errors(String) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the errors option.
euclideanNorm(Operand<T>, Operand<? extends TNumber>, EuclideanNorm.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the euclidean norm of elements across dimensions of a tensor.
EuclideanNorm(Operation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm
EuclideanNorm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
EuclideanNorm.Options - Class in org.tensorflow.op.linalg: Optional attributes for EuclideanNorm
event - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The event input
exampleLabels - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the label/target associated with each example.
examples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
examples() - Method in class org.tensorflow.op.core.Skipgram: Gets examples.
exampleStateData - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors containing the example state data.
exampleWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a vector which contains the weight associated with each example.
excludeCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The excludeCols input
exclusive - Variable in class org.tensorflow.op.math.Cumprod.Inputs: If True, perform exclusive cumprod.
exclusive - Variable in class org.tensorflow.op.math.Cumsum.Inputs: If True, perform exclusive cumsum.
exclusive - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: If True, perform exclusive cumulative log-sum-exp.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the exclusive option.
exclusive(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the exclusive option.
exclusive(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the exclusive option.
execute(Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>) - Method in class org.tensorflow.op.TpuOps: Op that loads and executes a TPU program on a TPU device.
Execute - Class in org.tensorflow.op.tpu: Op that loads and executes a TPU program on a TPU device.
Execute(Operation) - Constructor for class org.tensorflow.op.tpu.Execute
Execute.Inputs - Class in org.tensorflow.op.tpu
executeAndUpdateVariables(Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Long>, List<Long>) - Method in class org.tensorflow.op.TpuOps: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables - Class in org.tensorflow.op.tpu: Op that executes a program with optional in-place variable updates.
ExecuteAndUpdateVariables(Operation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
ExecuteAndUpdateVariables.Inputs - Class in org.tensorflow.op.tpu
executeTPUEmbeddingPartitioner(String) - Method in class org.tensorflow.op.TpuOps: An op that executes the TPUEmbedding partitioner on the central configuration device and computes the HBM size (in bytes) required for TPUEmbedding operation.
ExecuteTPUEmbeddingPartitioner - Class in org.tensorflow.op.tpu: An op that executes the TPUEmbedding partitioner on the central configuration device and computes the HBM size (in bytes) required for TPUEmbedding operation.
ExecuteTPUEmbeddingPartitioner(Operation) - Constructor for class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner
ExecuteTPUEmbeddingPartitioner.Inputs - Class in org.tensorflow.op.tpu
ExecutionEnvironment - Interface in org.tensorflow: Defines an environment for creating and executing TensorFlow Operations.
ExecutionEnvironment.Types - Enum in org.tensorflow
executorType - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: The executorType attribute
executorType - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: The executorType attribute
executorType(String) - Static method in class org.tensorflow.op.core.PartitionedCall: Sets the executorType option.
executorType(String) - Method in class org.tensorflow.op.core.PartitionedCall.Options: Sets the executorType option.
executorType(String) - Static method in class org.tensorflow.op.core.StatefulPartitionedCall: Sets the executorType option.
executorType(String) - Method in class org.tensorflow.op.core.StatefulPartitionedCall.Options: Sets the executorType option.
exit(Operand<T>) - Method in class org.tensorflow.op.Ops: Exits the current frame to its parent frame.
Exit<T extends TType> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
Exit(Operation) - Constructor for class org.tensorflow.op.core.Exit
Exit.Inputs<T extends TType> - Class in org.tensorflow.op.core
exitWithoutError - Variable in class org.tensorflow.op.core.Abort.Inputs: The exitWithoutError attribute
exitWithoutError(Boolean) - Static method in class org.tensorflow.op.core.Abort: Sets the exitWithoutError option.
exitWithoutError(Boolean) - Method in class org.tensorflow.op.core.Abort.Options: Sets the exitWithoutError option.
exp(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes exponential of x element-wise.
Exp<T extends TType> - Class in org.tensorflow.op.math: Computes exponential of x element-wise.
Exp(Operation) - Constructor for class org.tensorflow.op.math.Exp
Exp.Inputs<T extends TType> - Class in org.tensorflow.op.math
expandAnimations - Variable in class org.tensorflow.op.image.DecodeImage.Inputs: Controls the output shape of the returned op.
expandAnimations(Boolean) - Static method in class org.tensorflow.op.image.DecodeImage: Sets the expandAnimations option.
expandAnimations(Boolean) - Method in class org.tensorflow.op.image.DecodeImage.Options: Sets the expandAnimations option.
expandDims(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Inserts a dimension of 1 into a tensor's shape.
ExpandDims<T extends TType> - Class in org.tensorflow.op.core: Inserts a dimension of 1 into a tensor's shape.
ExpandDims(Operation) - Constructor for class org.tensorflow.op.core.ExpandDims
ExpandDims.Inputs<T extends TType> - Class in org.tensorflow.op.core
expect(Class) - Method in class org.tensorflow.Output: Returns this Output object with the type Output.
experimental - Variable in class org.tensorflow.op.DataOps
experimental - Variable in class org.tensorflow.op.RandomOps
experimentName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The experimentName input
expint(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The Expint operation
Expint<T extends TNumber> - Class in org.tensorflow.op.math.special: The Expint operation
Expint(Operation) - Constructor for class org.tensorflow.op.math.special.Expint
Expint.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
EXPLICIT - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Running operations with input tensors on the wrong device will fail.
explicitPadding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: If padding is "EXPLICIT", must be set as a list indicating the explicit paddings at the start and end of each lhs spatial dimension.
explicitPadding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: If padding Attr is "EXPLICIT", must be set as a list indicating the explicit paddings at the start and end of each lhs spatial dimension.
explicitPadding(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the explicitPadding option.
explicitPadding(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the explicitPadding option.
explicitPadding(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the explicitPadding option.
explicitPadding(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the explicitPadding option.
explicitPadding(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the explicitPadding option.
explicitPadding(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the explicitPadding option.
explicitPadding(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the explicitPadding option.
explicitPadding(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the explicitPadding option.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: If padding is "EXPLICIT", the list of explicit padding amounts.
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The explicitPaddings attribute
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The explicitPaddings attribute
explicitPaddings - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The explicitPaddings attribute
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(Long...) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings(Long...) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Options: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Static method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Sets the explicitPaddings option.
explicitPaddings(List<Long>) - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Options: Sets the explicitPaddings option.
expm1(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes exp(x) - 1 element-wise.
Expm1<T extends TType> - Class in org.tensorflow.op.math: Computes exp(x) - 1 element-wise.
Expm1(Operation) - Constructor for class org.tensorflow.op.math.Expm1
Expm1.Inputs<T extends TType> - Class in org.tensorflow.op.math
exponent - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The exponent attribute
exponent - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The exponent attribute
exponentialAvgFactor - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The exponentialAvgFactor attribute
exponentialAvgFactor(Float) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the exponentialAvgFactor option.
exponentialAvgFactor(Float) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the exponentialAvgFactor option.
export() - Method in class org.tensorflow.SavedModelBundle.Exporter: Save the model into the export directory.
exporter(String) - Static method in class org.tensorflow.SavedModelBundle: Export a saved model.
externalStatePolicy - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The externalStatePolicy attribute
externalStatePolicy - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The externalStatePolicy attribute
externalStatePolicy - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: The externalStatePolicy attribute
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Static method in class org.tensorflow.op.data.SerializeIterator: Sets the externalStatePolicy option.
externalStatePolicy(Long) - Method in class org.tensorflow.op.data.SerializeIterator.Options: Sets the externalStatePolicy option.
extractGlimpse(Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, ExtractGlimpse.Options...) - Method in class org.tensorflow.op.ImageOps: Extracts a glimpse from the input tensor.
ExtractGlimpse - Class in org.tensorflow.op.image: Extracts a glimpse from the input tensor.
ExtractGlimpse(Operation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse
ExtractGlimpse.Inputs - Class in org.tensorflow.op.image
ExtractGlimpse.Options - Class in org.tensorflow.op.image: Optional attributes for ExtractGlimpse
extractImagePatches(Operand<T>, List<Long>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.ImageOps: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches<T extends TType> - Class in org.tensorflow.op.image: Extract patches from images and put them in the "depth" output dimension.
ExtractImagePatches(Operation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches
ExtractImagePatches.Inputs<T extends TType> - Class in org.tensorflow.op.image
extractJpegShape(Operand<TString>) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
extractJpegShape(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.ImageOps: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape<T extends TNumber> - Class in org.tensorflow.op.image: Extract the shape information of a JPEG-encoded image.
ExtractJpegShape(Operation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape
ExtractJpegShape.Inputs - Class in org.tensorflow.op.image
extractVolumePatches(Operand<T>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.Ops: Extract patches from input and put them in the "depth" output dimension.
ExtractVolumePatches<T extends TNumber> - Class in org.tensorflow.op.core: Extract patches from input and put them in the "depth" output dimension.
ExtractVolumePatches(Operation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches
ExtractVolumePatches.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
extrapolationValue - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: Value used for extrapolation, when applicable.
extrapolationValue(Float) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the extrapolationValue option.
extrapolationValue(Float) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the extrapolationValue option.

F

f - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The forget gate over the whole time sequence.
f - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The forget gate.
f() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets f.
f() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets f.
fact() - Method in class org.tensorflow.op.math.Fact: Gets fact.
fact() - Method in class org.tensorflow.op.MathOps: Output a fact about factorials.
Fact - Class in org.tensorflow.op.math: Output a fact about factorials.
Fact(Operation) - Constructor for class org.tensorflow.op.math.Fact
Fact.Inputs - Class in org.tensorflow.op.math
fakeDtypes - Variable in class org.tensorflow.op.core.MapStage.Inputs: The fakeDtypes attribute
fakeDtypes - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The fakeDtypes attribute
fakeParam(Class<T>, Shape) - Method in class org.tensorflow.op.Ops: This op is used as a placeholder in If branch functions.
FakeParam<T extends TType> - Class in org.tensorflow.op.core: This op is used as a placeholder in If branch functions.
FakeParam(Operation) - Constructor for class org.tensorflow.op.core.FakeParam
FakeParam.Inputs - Class in org.tensorflow.op.core
fakeQuantWithMinMaxArgs(Operand<TFloat32>, FakeQuantWithMinMaxArgs.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.
FakeQuantWithMinMaxArgs - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.
FakeQuantWithMinMaxArgs(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgs.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgs.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgs
fakeQuantWithMinMaxArgsGradient(Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxArgsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxArgsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxArgsGradient
fakeQuantWithMinMaxVars(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVars.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVars(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVars.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVars.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVars
fakeQuantWithMinMaxVarsGradient(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsGradient
fakeQuantWithMinMaxVarsPerChannel(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannel.Options...) - Method in class org.tensorflow.op.QuantizationOps: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel - Class in org.tensorflow.op.quantization: Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the inputs tensor of type float per-channel and one of the shapes: [d], [b, d] [b, h, w, d] via per-channel floats min and max of shape [d] to outputs tensor of same shape as inputs.
FakeQuantWithMinMaxVarsPerChannel(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel
FakeQuantWithMinMaxVarsPerChannel.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannel.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannel
fakeQuantWithMinMaxVarsPerChannelGradient(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, FakeQuantWithMinMaxVarsPerChannelGradient.Options...) - Method in class org.tensorflow.op.QuantizationOps: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient - Class in org.tensorflow.op.quantization: Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient(Operation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient
FakeQuantWithMinMaxVarsPerChannelGradient.Inputs - Class in org.tensorflow.op.quantization
FakeQuantWithMinMaxVarsPerChannelGradient.Options - Class in org.tensorflow.op.quantization: Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
fakeQueue(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Deprecated.
FakeQueue - Class in org.tensorflow.op.io: Deprecated.
FakeQueue(Operation) - Constructor for class org.tensorflow.op.io.FakeQueue
FakeQueue.Inputs - Class in org.tensorflow.op.io
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the fancyUpscaling option.
fancyUpscaling(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the fancyUpscaling option.
fast - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The fast attribute
fast - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The fast attribute
fast(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Sets the fast option.
fast(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Options: Sets the fast option.
fast(Boolean) - Static method in class org.tensorflow.op.linalg.MatrixSolveLs: Sets the fast option.
fast(Boolean) - Method in class org.tensorflow.op.linalg.MatrixSolveLs.Options: Sets the fast option.
featureGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The number of feature groups.
featureGroupCount - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The number of feature groups.
featureGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the featureGroupCount option.
featureGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the featureGroupCount option.
featureGroupCount(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the featureGroupCount option.
featureGroupCount(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the featureGroupCount option.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the SequenceExamples' feature_lists associated with lists of dense values.
featureListDenseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense string Tensors (scalars).
featureListDenseLengths() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseLengths.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A vector corresponding 1:1 with feature_list_dense_keys, indicating which features may be missing from the SequenceExamples.
featureListDenseMissingAssumedEmpty - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A vector listing the FeatureList keys which may be missing from the SequenceExample.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_dense shapes; the shapes of data in each FeatureList given in feature_list_dense_keys.
featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(List<Shape>) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(List<Shape>) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the featureListDenseShapes option.
featureListDenseShapes(Shape...) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the featureListDenseShapes option.
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The featureListDenseTypes attribute
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListDenseValues.
featureListDenseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListDenseValues.
featureListRaggedInnerSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedInnerSplits.
featureListRaggedKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with ragged values.
featureListRaggedOuterSplits() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedOuterSplits.
featureListRaggedSplitTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.row_split dtypes for the ragged FeatureList features.
featureListRaggedValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListRaggedValues.
featureListRaggedValueTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: RaggedTensor.value dtypes for the ragged FeatureList features.
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseIndices.
featureListSparseIndices() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseIndices.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The keys expected in the FeatureLists associated with sparse values.
featureListSparseKeys - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse string Tensors (scalars).
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseShapes.
featureListSparseShapes() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseShapes.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseTypes - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A list of Nfeature_list_sparse types; the data types of data in each FeatureList given in feature_list_sparse_keys.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSequenceExample: Gets featureListSparseValues.
featureListSparseValues() - Method in class org.tensorflow.op.io.ParseSingleSequenceExample: Gets featureListSparseValues.
features - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The features passed as input to the corresponding LeakyRelu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.math.Softplus.Inputs: The features input
features - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The features passed as input to the corresponding softplus operation.
features - Variable in class org.tensorflow.op.nn.Elu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The features passed as input to the corresponding Relu6 operation, or its output; using either one produces the same result.
features - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The features passed as input to the corresponding Relu operation, OR the outputs of that operation (both work equivalently).
features - Variable in class org.tensorflow.op.nn.Selu.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
features - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The features input
features - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The features passed as input to the corresponding softsign operation.
features - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix
featureWidth - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The featureWidth attribute
featureWidth - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The featureWidth attribute
feed(String, int, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating the index-th output of operation by substituting t for the value it produces.
feed(String, Tensor) - Method in class org.tensorflow.Session.Runner: Avoid evaluating operation and substitute t for the value it produces.
feed(Operand<?>, Tensor) - Method in class org.tensorflow.Session.Runner: Use t instead of the Tensor referred to by executing the operation referred to by operand.
fetch(String) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the output of operation.
fetch(String, int) - Method in class org.tensorflow.Session.Runner: Make Session.Runner.run() return the index-th output of operation.
fetch(Operand<?>) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by the output of operand.
fetch(Output<?>) - Method in class org.tensorflow.Session.Runner: Makes Session.Runner.run() return the Tensor referred to by output.
fft(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Fast Fourier transform.
Fft<T extends TType> - Class in org.tensorflow.op.signal: Fast Fourier transform.
Fft(Operation) - Constructor for class org.tensorflow.op.signal.Fft
Fft.Inputs<T extends TType> - Class in org.tensorflow.op.signal
fft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: 2D fast Fourier transform.
Fft2d<T extends TType> - Class in org.tensorflow.op.signal: 2D fast Fourier transform.
Fft2d(Operation) - Constructor for class org.tensorflow.op.signal.Fft2d
Fft2d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
fft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: 3D fast Fourier transform.
Fft3d<T extends TType> - Class in org.tensorflow.op.signal: 3D fast Fourier transform.
Fft3d(Operation) - Constructor for class org.tensorflow.op.signal.Fft3d
Fft3d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
fftLength - Variable in class org.tensorflow.op.signal.FftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.Irfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: An int32 tensor of shape [3].
fftLength - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: An int32 tensor.
fftLength - Variable in class org.tensorflow.op.signal.Rfft.Inputs: An int32 tensor of shape [1].
fftLength - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: An int32 tensor of shape [2].
fftLength - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: An int32 tensor of shape [3].
fftLength - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: An int32 tensor.
fftNd(Operand<T>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: ND fast Fourier transform.
FftNd<T extends TType> - Class in org.tensorflow.op.signal: ND fast Fourier transform.
FftNd(Operation) - Constructor for class org.tensorflow.op.signal.FftNd
FftNd.Inputs<T extends TType> - Class in org.tensorflow.op.signal
fieldDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The fieldDelim input
fieldDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The fieldDelim input
fieldDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: char delimiter to separate fields in a record.
fieldDelim(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the fieldDelim option.
fieldDelim(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the fieldDelim option.
fieldNames - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of strings containing proto field names.
fieldNames - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of strings containing proto field names.
fifoQueue(List<Class<? extends TType>>, FifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
FifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
FifoQueue(Operation) - Constructor for class org.tensorflow.op.io.FifoQueue
FifoQueue.Inputs - Class in org.tensorflow.op.io
FifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for FifoQueue
fileBufferSize - Variable in class org.tensorflow.op.random.RecordInput.Inputs: The randomization shuffling buffer.
fileBufferSize(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileBufferSize option.
fileBufferSize(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileBufferSize option.
filename - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Filename of a vocabulary text file.
filename - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The corpus's text file name.
filename - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The filename input
filename - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A scalar string tensor representing the filename to use.
filename - Variable in class org.tensorflow.op.io.ReadFile.Inputs: The filename input
filename - Variable in class org.tensorflow.op.io.WriteFile.Inputs: scalar.
filename - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Must have a single element.
filename() - Method in class org.tensorflow.op.io.ShardedFilename: Gets filename.
filename() - Method in class org.tensorflow.op.io.ShardedFilespec: Gets filename.
filenames - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The filenames input
filenames - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: A scalar or a vector containing the name(s) of the binary file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: A scalar or a vector containing the name(s) of the file(s) to be read.
filenames - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: A scalar or vector containing the name(s) of the file(s) to be read.
filenames() - Method in class org.tensorflow.op.io.MatchingFiles: Gets filenames.
filenameSuffix - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The filenameSuffix input
fileParallelism - Variable in class org.tensorflow.op.random.RecordInput.Inputs: How many sstables are opened and concurrently iterated over.
fileParallelism(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileParallelism option.
fileParallelism(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileParallelism option.
filePattern - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Glob pattern for the data files.
filePattern - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
fileRandomSeed - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Random seeds used to produce randomized records.
fileRandomSeed(Long) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileRandomSeed option.
fileRandomSeed(Long) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileRandomSeed option.
fileShuffleShiftRatio - Variable in class org.tensorflow.op.random.RecordInput.Inputs: Shifts the list of files after the list is randomly shuffled.
fileShuffleShiftRatio(Float) - Static method in class org.tensorflow.op.random.RecordInput: Sets the fileShuffleShiftRatio option.
fileShuffleShiftRatio(Float) - Method in class org.tensorflow.op.random.RecordInput.Options: Sets the fileShuffleShiftRatio option.
fileSystemSetConfiguration(Operand<TString>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.Ops: Set configuration of the file system.
FileSystemSetConfiguration - Class in org.tensorflow.op.core: Set configuration of the file system.
FileSystemSetConfiguration(Operation) - Constructor for class org.tensorflow.op.core.FileSystemSetConfiguration
FileSystemSetConfiguration.Inputs - Class in org.tensorflow.op.core
fill - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The value to pad if width > -1.
fill(String) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the fill option.
fill(String) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the fill option.
fill(Operand<? extends TNumber>, Operand) - Method in class org.tensorflow.op.Ops: Creates a tensor filled with a scalar value.
Fill - Class in org.tensorflow.op.core: Creates a tensor filled with a scalar value.
Fill(Operation) - Constructor for class org.tensorflow.op.core.Fill
Fill.Inputs - Class in org.tensorflow.op.core
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Fill mode, "REFLECT", "WRAP", or "CONSTANT".
fillMode - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Fill mode, "REFLECT", "WRAP", "CONSTANT", or "NEAREST".
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Sets the fillMode option.
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2.Options: Sets the fillMode option.
fillMode(String) - Static method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Sets the fillMode option.
fillMode(String) - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3.Options: Sets the fillMode option.
fillValue - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: float, the value to be filled when fill_mode is constant".
filter - Variable in class org.tensorflow.op.nn.Conv.Inputs: An (N+2)-D Tensor with the same type as input and shape spatial_filter_shape + [in_channels, out_channels], where spatial_filter_shape is N-dimensional with N=2 or N=3.
filter - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor of shape [filter_height, filter_width, in_channels, out_channels]
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [filter_depth, filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Shape [depth, rows, cols, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape [filter_height, filter_width, in_channels, depthwise_multiplier].
filter - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 3-D with shape [filter_height, filter_width, depth].
filter - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [filter_height, filter_width, in_channels, out_channels].
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: filter's input_depth dimension must match input's depth dimensions.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The filter input
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original filter tensor.
filter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original filter tensor.
filterBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropFilter: Gets filterBackprop.
filterbankChannelCount - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Resolution of the Mel bank used internally.
filterbankChannelCount(Long) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the filterbankChannelCount option.
filterbankChannelCount(Long) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the filterbankChannelCount option.
filterByLastComponentDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of first component of input_dataset having true in the last component.
FilterByLastComponentDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset
FilterByLastComponentDataset.Inputs - Class in org.tensorflow.op.data
filterDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FilterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of input_dataset matching predicate.
FilterDataset(Operation) - Constructor for class org.tensorflow.op.data.FilterDataset
FilterDataset.Inputs - Class in org.tensorflow.op.data
FilterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FilterDataset
filterSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 5-D [filter_depth, filter_height, filter_width, in_channels, out_channels] tensor.
filterSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: An integer vector representing the tensor shape of filter, where filter is a 4-D [filter_height, filter_width, in_channels, depthwise_multiplier] tensor.
finalizeDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, FinalizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying tf.data.Options to input_dataset.
FinalizeDataset(Operation) - Constructor for class org.tensorflow.op.data.FinalizeDataset
FinalizeDataset.Inputs - Class in org.tensorflow.op.data
FinalizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FinalizeDataset
finalizeFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The finalizeFuncOtherArgs input
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
finalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for finalize_func.
finalizeTPUEmbedding(Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.TpuOps: An op that finalizes the TPUEmbedding configuration.
FinalizeTPUEmbedding - Class in org.tensorflow.op.tpu: An op that finalizes the TPUEmbedding configuration.
FinalizeTPUEmbedding(Operation) - Constructor for class org.tensorflow.op.tpu.FinalizeTPUEmbedding
FinalizeTPUEmbedding.Inputs - Class in org.tensorflow.op.tpu
finalOp - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The finalOp attribute
findGraph(TFJ_GraphId) - Static method in class org.tensorflow.Graph: Find the graph with the matching ID.
fingerprint() - Method in class org.tensorflow.op.core.Fingerprint: Gets fingerprint.
fingerprint() - Method in class org.tensorflow.op.data.DatasetFingerprint: Gets fingerprint.
fingerprint(Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.Ops: Generates fingerprint values.
Fingerprint - Class in org.tensorflow.op.core: Generates fingerprint values.
Fingerprint(Operation) - Constructor for class org.tensorflow.op.core.Fingerprint
Fingerprint.Inputs - Class in org.tensorflow.op.core
fixedLength - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Length in bytes for each element of the decoded output.
fixedLengthRecordDataset(Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TString>, FixedLengthRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset - Class in org.tensorflow.op.data: The FixedLengthRecordDatasetV2 operation
FixedLengthRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset
FixedLengthRecordDataset.Inputs - Class in org.tensorflow.op.data
FixedLengthRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FixedLengthRecordDataset
fixedLengthRecordReader(Long, FixedLengthRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader - Class in org.tensorflow.op.io: A Reader that outputs fixed-length records from a file.
FixedLengthRecordReader(Operation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader
FixedLengthRecordReader.Inputs - Class in org.tensorflow.op.io
FixedLengthRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for FixedLengthRecordReader
fixedUnigramCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, FixedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
FixedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler
FixedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
FixedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for FixedUnigramCandidateSampler
flatMapDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, FlatMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
FlatMapDataset(Operation) - Constructor for class org.tensorflow.op.data.FlatMapDataset
FlatMapDataset.Inputs - Class in org.tensorflow.op.data
FlatMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for FlatMapDataset
flatten(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
flatten(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the shape to 1 dimension.
flatten(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the shape to 1 dimension.
flatten(Scope, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension.
flatten(Scope, Operand<T>, Class) - Static method in class org.tensorflow.op.core.Shapes: Flatten the operand to 1 dimension
flatten(Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension.
flatten(Operand<T>, Class) - Method in class org.tensorflow.op.ShapeOps: Flatten the operand to 1 dimension
floatTensor - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A 1-D float tensor, includes float elements of deduplication data tuple.
floatTensor() - Method in class org.tensorflow.op.tpu.SplitDedupData: Gets floatTensor.
floatType - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: float_tensor type.
floatType - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: float_tensor type.
floor(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise largest integer not greater than x.
Floor<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise largest integer not greater than x.
Floor(Operation) - Constructor for class org.tensorflow.op.math.Floor
Floor.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
floorDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x // y element-wise.
FloorDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x // y element-wise.
FloorDiv(Operation) - Constructor for class org.tensorflow.op.math.FloorDiv
FloorDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
floorMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
FloorMod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
FloorMod(Operation) - Constructor for class org.tensorflow.op.math.FloorMod
FloorMod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
flow() - Method in class org.tensorflow.op.core.TensorArray: Gets flow.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: A float scalar that enforces proper chaining of operations.
flowIn - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The flowIn input
flowIn - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: A float scalar that enforces proper chaining of operations.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayScatter: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArraySplit: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayUnpack: Gets flowOut.
flowOut() - Method in class org.tensorflow.op.core.TensorArrayWrite: Gets flowOut.
flushMillis - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The flushMillis input
flushSummaryWriter(Operand<? extends TType>) - Method in class org.tensorflow.op.SummaryOps: The FlushSummaryWriter operation
FlushSummaryWriter - Class in org.tensorflow.op.summary: The FlushSummaryWriter operation
FlushSummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter
FlushSummaryWriter.Inputs - Class in org.tensorflow.op.summary
footerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The footerBytes input
footerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the footer, defaults to 0.
footerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the footerBytes option.
footerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the footerBytes option.
For - Class in org.tensorflow.op.core: Applies a for loop.
For(Operation) - Constructor for class org.tensorflow.op.core.For
For.Inputs - Class in org.tensorflow.op.core
forceInitialize() - Method in class org.tensorflow.Session: Execute the graph's initializers, regardless of whether the session has been initialized.
forgetBias - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The forget gate bias.
forgetBias(Float) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the forgetBias option.
forgetBias(Float) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the forgetBias option.
format - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Per pixel image format.
format(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the format option.
format(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the format option.
formatStateVar - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The formatStateVar input
forOp(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Iterable<Operand<?>>, ConcreteFunction) - Method in class org.tensorflow.op.Ops: Applies a for loop.
forwardInput - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The forwardInput input
fractionalAvgPool(Operand<T>, List<Float>, FractionalAvgPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional average pooling on the input.
FractionalAvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs fractional average pooling on the input.
FractionalAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool
FractionalAvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalAvgPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPool
fractionalAvgPoolGrad(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalAvgPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradient of the FractionalAvgPool function.
FractionalAvgPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalAvgPool function.
FractionalAvgPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad
FractionalAvgPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalAvgPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalAvgPoolGrad
fractionalMaxPool(Operand<T>, List<Float>, FractionalMaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs fractional max pooling on the input.
FractionalMaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs fractional max pooling on the input.
FractionalMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool
FractionalMaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalMaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPool
fractionalMaxPoolGrad(Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, Operand<TInt64>, FractionalMaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradient of the FractionalMaxPool function.
FractionalMaxPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradient of the FractionalMaxPool function.
FractionalMaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad
FractionalMaxPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FractionalMaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FractionalMaxPoolGrad
frameName - Variable in class org.tensorflow.op.core.Enter.Inputs: The name of the child frame.
frameName - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The name of the child frame.
fresnelCos(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The FresnelCos operation
FresnelCos<T extends TNumber> - Class in org.tensorflow.op.math.special: The FresnelCos operation
FresnelCos(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelCos
FresnelCos.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
fresnelSin(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The FresnelSin operation
FresnelSin<T extends TNumber> - Class in org.tensorflow.op.math.special: The FresnelSin operation
FresnelSin(Operation) - Constructor for class org.tensorflow.op.math.special.FresnelSin
FresnelSin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
fullMatrices - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The fullMatrices attribute
fullMatrices - Variable in class org.tensorflow.op.linalg.Qr.Inputs: If true, compute full-sized q and r.
fullMatrices - Variable in class org.tensorflow.op.linalg.Svd.Inputs: If true, compute full-sized u and v.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.BatchSvd: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.BatchSvd.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Qr: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Qr.Options: Sets the fullMatrices option.
fullMatrices(Boolean) - Static method in class org.tensorflow.op.linalg.Svd: Sets the fullMatrices option.
fullMatrices(Boolean) - Method in class org.tensorflow.op.linalg.Svd.Options: Sets the fullMatrices option.
function(String) - Method in class org.tensorflow.SavedModelBundle: Return a ConcreteFunction corresponding to the function signature.
function(Signature) - Method in class org.tensorflow.Session: Create a new session function, backed by this session.
Function - Class in org.tensorflow.op.core: Ops for calling ConcreteFunction.
Function() - Constructor for class org.tensorflow.op.core.Function: Constructor.
functions() - Method in class org.tensorflow.SavedModelBundle: Get all functions in the bundle.
fusedBatchNorm(Operand<T>, Operand, Operand, Operand, Operand, FusedBatchNorm.Options...) - Method in class org.tensorflow.op.NnOps: Batch normalization.
FusedBatchNorm<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Batch normalization.
FusedBatchNorm(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm
FusedBatchNorm.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
FusedBatchNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNorm
fusedBatchNormGrad(Operand<T>, Operand<T>, Operand<TFloat32>, Operand, Operand, Operand, FusedBatchNormGrad.Options...) - Method in class org.tensorflow.op.NnOps: Gradient for batch normalization.
FusedBatchNormGrad<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Gradient for batch normalization.
FusedBatchNormGrad(Operation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad
FusedBatchNormGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
FusedBatchNormGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedBatchNormGrad
fusedPadConv2d(Operand<T>, Operand<TInt32>, Operand<T>, String, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Performs a padding as a preprocess during a convolution.
FusedPadConv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs a padding as a preprocess during a convolution.
FusedPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d
FusedPadConv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
fusedResizeAndPadConv2d(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<T>, String, List<Long>, String, FusedResizeAndPadConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs a resize and padding as a preprocess during a convolution.
FusedResizeAndPadConv2d(Operation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d
FusedResizeAndPadConv2d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
FusedResizeAndPadConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for FusedResizeAndPadConv2d

G

gains - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The gains input
gains - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The gains input
gains() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets gains.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gamma - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D gamma Tensor with size matching the last dimension of t.
gammaMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized gamma.
gammaMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized gamma.
gatedGrpc - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Whether this op will be gated.
gatedGrpc - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Whether this op will be gated.
gatedGrpc(Boolean) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the gatedGrpc option.
gatedGrpc(Boolean) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the gatedGrpc option.
gather(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Gather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from params axis axis according to indices.
Gather<T extends TType> - Class in org.tensorflow.op.core: Gather slices from params axis axis according to indices.
Gather(Operation) - Constructor for class org.tensorflow.op.core.Gather
Gather.Inputs<T extends TType> - Class in org.tensorflow.op.core
Gather.Options - Class in org.tensorflow.op.core: Optional attributes for Gather
gatherNd(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Gather slices from params into a Tensor with shape specified by indices.
GatherNd<T extends TType> - Class in org.tensorflow.op.core: Gather slices from params into a Tensor with shape specified by indices.
GatherNd(Operation) - Constructor for class org.tensorflow.op.core.GatherNd
GatherNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
generateBoundingBoxProposals(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, GenerateBoundingBoxProposals.Options...) - Method in class org.tensorflow.op.ImageOps: This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497
GenerateBoundingBoxProposals - Class in org.tensorflow.op.image: This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497
GenerateBoundingBoxProposals(Operation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals
GenerateBoundingBoxProposals.Inputs - Class in org.tensorflow.op.image
GenerateBoundingBoxProposals.Options - Class in org.tensorflow.op.image: Optional attributes for GenerateBoundingBoxProposals
generateVocabRemapping(Operand<TString>, Operand<TString>, Long, Long, GenerateVocabRemapping.Options...) - Method in class org.tensorflow.op.TrainOps: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping - Class in org.tensorflow.op.train: Given a path to new and old vocabulary files, returns a remapping Tensor of length num_new_vocab, where remapping[i] contains the row number in the old vocabulary that corresponds to row i in the new vocabulary (starting at line new_vocab_offset and up to num_new_vocab entities), or -1 if entry i in the new vocabulary is not in the old vocabulary.
GenerateVocabRemapping(Operation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping
GenerateVocabRemapping.Inputs - Class in org.tensorflow.op.train
GenerateVocabRemapping.Options - Class in org.tensorflow.op.train: Optional attributes for GenerateVocabRemapping
generatorDataset(Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GeneratorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that invokes a function to generate elements.
GeneratorDataset - Class in org.tensorflow.op.data: Creates a dataset that invokes a function to generate elements.
GeneratorDataset(Operation) - Constructor for class org.tensorflow.op.data.GeneratorDataset
GeneratorDataset.Inputs - Class in org.tensorflow.op.data
GeneratorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GeneratorDataset
get(int) - Method in class org.tensorflow.Result: Gets the value from the container at the specified index.
get(String) - Method in class org.tensorflow.Result: Gets the value from the container assuming it's not been closed.
getAttrBool(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean attribute of this operation.
getAttrBoolList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a boolean list attribute of this operation.
getAttrFloat(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float attribute of this operation.
getAttrFloatList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a float list attribute of this operation.
getAttrFunction(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function attribute of this operation.
getAttrFunctionList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a function list attribute of this operation.
getAttrInt(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int attribute of this operation.
getAttrIntList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a int list attribute of this operation.
getAttrMetadata(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the metadata of an attribute of this operation.
getAttrShape(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape attribute of this operation.
getAttrShapeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a shape list attribute of this operation.
getAttrString(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string attribute of this operation.
getAttrStringList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a string list attribute of this operation.
getAttrTensor(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor attribute of this operation.
getAttrTensorList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a tensor list attribute of this operation.
getAttrType(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type attribute of this operation.
getAttrTypeList(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of a data type list attribute of this operation.
getAttrValueProto(String) - Method in interface org.tensorflow.OperationAttributeInspector: Get the value of an attribute of this operation as an AttrValue proto.
getDefault() - Static method in class org.tensorflow.EagerSession: Returns the default eager session
getDefinedName() - Method in class org.tensorflow.ConcreteFunction: Get the name of the function definition.
getDeviceString() - Method in class org.tensorflow.op.NativeScope
getDeviceString() - Method in class org.tensorflow.op.OpScope
getDeviceString() - Method in interface org.tensorflow.op.Scope: Returns device string from the scope.
getElementAtIndex(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.Ops: Gets the element at the specified index in a dataset.
GetElementAtIndex - Class in org.tensorflow.op.core: Gets the element at the specified index in a dataset.
GetElementAtIndex(Operation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex
GetElementAtIndex.Inputs - Class in org.tensorflow.op.core
getFunction(String) - Method in class org.tensorflow.Graph: Get the function attached to the graph with the given native name.
getFunctionDef() - Method in class org.tensorflow.ConcreteFunction: Get the FunctionDef proto.
getFunctions() - Method in class org.tensorflow.Graph: Get the functions attached to the graph.
getInputs() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature mapped to their expected data type, shape, and operand name
getMetadata() - Method in class org.tensorflow.Result: Metadata about the run.
getMinibatchesInCsrWithPhysicalReplica(Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt32>, Long, Long, Long, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The GetMinibatchesInCsrWithPhysicalReplica operation
GetMinibatchesInCsrWithPhysicalReplica - Class in org.tensorflow.op.tpu: The GetMinibatchesInCsrWithPhysicalReplica operation
GetMinibatchesInCsrWithPhysicalReplica(Operation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica
GetMinibatchesInCsrWithPhysicalReplica.Inputs - Class in org.tensorflow.op.tpu
getMinibatchSplitsWithPhysicalReplica(Operand<TString>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Long, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The GetMinibatchSplitsWithPhysicalReplica operation
GetMinibatchSplitsWithPhysicalReplica - Class in org.tensorflow.op.tpu: The GetMinibatchSplitsWithPhysicalReplica operation
GetMinibatchSplitsWithPhysicalReplica(Operation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica
GetMinibatchSplitsWithPhysicalReplica.Inputs - Class in org.tensorflow.op.tpu
getOptions(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the tf.data.Options attached to input_dataset.
GetOptions - Class in org.tensorflow.op.core: Returns the tf.data.Options attached to input_dataset.
GetOptions(Operation) - Constructor for class org.tensorflow.op.core.GetOptions
GetOptions.Inputs - Class in org.tensorflow.op.core
getOutputs() - Method in class org.tensorflow.op.RawOpInputs: The outputs of this operation.
getOutputs() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature mapped to their expected data type, shape, and operand name
getSessionHandle(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Store the input tensor in the state of the current session.
GetSessionHandle - Class in org.tensorflow.op.core: Store the input tensor in the state of the current session.
GetSessionHandle(Operation) - Constructor for class org.tensorflow.op.core.GetSessionHandle
GetSessionHandle.Inputs - Class in org.tensorflow.op.core
getSessionTensor(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.Ops: Get the value of the tensor specified by its handle.
GetSessionTensor<T extends TType> - Class in org.tensorflow.op.core: Get the value of the tensor specified by its handle.
GetSessionTensor(Operation) - Constructor for class org.tensorflow.op.core.GetSessionTensor
GetSessionTensor.Inputs - Class in org.tensorflow.op.core
getUnsafeNativeHandle() - Method in class org.tensorflow.GraphOperation: Get the native handle of this operation.
givenYMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in y_max if output_range_given is True.
givenYMax(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMax option.
givenYMax(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMax option.
givenYMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Output in y_min if output_range_given is True.
givenYMin(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the givenYMin option.
givenYMin(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the givenYMin option.
glimpse() - Method in class org.tensorflow.op.image.ExtractGlimpse: Gets glimpse.
globalIterId() - Method in class org.tensorflow.op.TpuOps: The GlobalIterId operation
GlobalIterId - Class in org.tensorflow.op.tpu: The GlobalIterId operation
GlobalIterId(Operation) - Constructor for class org.tensorflow.op.tpu.GlobalIterId
GlobalIterId.Inputs - Class in org.tensorflow.op.tpu
globalStep - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Training step number.
globalStep - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Training step number.
GPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
grad - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The grad input
grad - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: df/dl where f is some scalar function.
grad - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: Output backprop of shape [batch, depth, rows, cols, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: 4-D.
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: gradient propagated to the SparseSegmentMean op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: gradient propagated to the SparseSegmentSqrtN op.
grad - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: gradient propagated to the SparseSegmentSum op.
grad - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The gradient.
grad - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The gradient.
gradA - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The gradA attribute
gradA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the gradA option.
gradA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the gradA option.
gradB - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The gradB attribute
gradB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the gradB option.
gradB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the gradB option.
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGrad: Gets gradHandle.
gradHandle() - Method in class org.tensorflow.op.core.TensorArrayGradWithShape: Gets gradHandle.
gradient - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
gradient - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: A tensor of the gradient to be accumulated.
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The gradient input
gradient - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The gradient input
gradient() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CtcLoss: Gets gradient.
gradient() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets gradient.
gradientAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientIndices - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Indices of the sparse gradient to be accumulated.
gradients - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The backpropagated gradients to the corresponding LeakyRelu operation.
gradients - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The backpropagated gradients to the corresponding softplus operation.
gradients - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The backpropagated gradients to the corresponding Elu operation.
gradients - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The backpropagated gradients to the corresponding Relu6 operation.
gradients - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The backpropagated gradients to the corresponding Relu operation.
gradients - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The backpropagated gradients to the corresponding Selu operation.
gradients - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The backpropagated gradients to the corresponding softsign operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
gradients - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d].
gradients - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The gradients input
gradients - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A TensorList of gradients with which to update embedding tables.
gradients(Iterable<? extends Operand<?>>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops: Adds gradients computation ops to the graph according to scope.
gradients(Operand<?>, Iterable<? extends Operand<?>>, Gradients.Options...) - Method in class org.tensorflow.op.Ops: 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 - Class in org.tensorflow.op.core: Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
Gradients.Options - Class in org.tensorflow.op.core: Optional attributes for Gradients
gradientShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Shape of the sparse gradient to be accumulated.
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientSquaredAccumulator - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
gradientValues - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Values are the non-zero slices of the gradient, and must have the same first dimension as indices, i.e., the nnz represented by indices and values must be consistent.
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 4-D tensor of shape [num_boxes, crop_height, crop_width, depth].
grads - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: 4-D with shape [batch, height, width, channels].
grads - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The grads input
gradSoftmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The gradient of softmax.
gradTimeoutMicros - Variable in class org.tensorflow.op.core.Batch.Inputs: The gradTimeoutMicros attribute
gradValues - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The gradValues input
gradValues - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
gradX - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The gradX attribute
gradX(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the gradX option.
gradX(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the gradX option.
gradY - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The gradY attribute
gradY(Boolean) - Static method in class org.tensorflow.op.train.BatchMatMul: Sets the gradY option.
gradY(Boolean) - Method in class org.tensorflow.op.train.BatchMatMul.Options: Sets the gradY option.
graph() - Method in class org.tensorflow.op.data.DatasetToGraph: Gets graph.
graph() - Method in class org.tensorflow.SavedModelBundle: Returns the graph that describes the computation performed by the model.
graph() - Method in class org.tensorflow.Session
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 - Enum constant in enum org.tensorflow.ExecutionEnvironment.Types
Graph.WhileSubgraphBuilder - Interface in org.tensorflow: Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop.
graphDef - Variable in class org.tensorflow.op.data.DatasetFromGraph.Inputs: The graph representation of the dataset (as serialized GraphDef).
GraphOperation - Class in org.tensorflow: Implementation for an Operation added as a node to a Graph.
GraphOperationBuilder - Class in org.tensorflow: An OperationBuilder for adding GraphOperations to a Graph.
greater(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x > y) element-wise.
Greater - Class in org.tensorflow.op.math: Returns the truth value of (x > y) element-wise.
Greater(Operation) - Constructor for class org.tensorflow.op.math.Greater
Greater.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
greaterEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x >= y) element-wise.
GreaterEqual - Class in org.tensorflow.op.math: Returns the truth value of (x >= y) element-wise.
GreaterEqual(Operation) - Constructor for class org.tensorflow.op.math.GreaterEqual
GreaterEqual.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
group() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Specify an optional group within the Ops class.
group() - Element in annotation type org.tensorflow.op.annotation.Operator: Specify an optional group within the Ops class.
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The groupAssignment input
groupAssignment - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupAssignment - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: An int32 tensor with shape [num_groups, num_replicas_per_group].
groupByReducerDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that computes a group-by on input_dataset.
groupByReducerDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a group-by on input_dataset.
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset
GroupByReducerDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByReducerDataset.Inputs - Class in org.tensorflow.op.data
groupByWindowDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that computes a windowed group-by on input_dataset.
groupByWindowDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, GroupByWindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that computes a windowed group-by on input_dataset.
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset
GroupByWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
GroupByWindowDataset.Inputs - Class in org.tensorflow.op.data
GroupByWindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for GroupByWindowDataset
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupKey input
groupKey - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The groupKey input
groupKey() - Method in class org.tensorflow.op.collective.CollectiveAssignGroup: Gets groupKey.
groups - Variable in class org.tensorflow.op.nn.Conv.Inputs: A positive integer specifying the number of groups in which the input is split along the channel axis.
groups(Long) - Static method in class org.tensorflow.op.nn.Conv: Sets the groups option.
groups(Long) - Method in class org.tensorflow.op.nn.Conv.Options: Sets the groups option.
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The groupSize input
groupSize - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The groupSize input
groupSize() - Method in class org.tensorflow.op.collective.CollectiveAssignGroup: Gets groupSize.
gRUBlockCell(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes the GRU cell forward propagation for 1 time step.
GRUBlockCell<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the GRU cell forward propagation for 1 time step.
GRUBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell
GRUBlockCell.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
gRUBlockCellGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes the GRU cell back-propagation for 1 time step.
GRUBlockCellGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the GRU cell back-propagation for 1 time step.
GRUBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad
GRUBlockCellGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
guaranteeConst(Operand<T>) - Method in class org.tensorflow.op.Ops: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst<T extends TType> - Class in org.tensorflow.op.core: Gives a guarantee to the TF runtime that the input tensor is a constant.
GuaranteeConst(Operation) - Constructor for class org.tensorflow.op.core.GuaranteeConst
GuaranteeConst.Inputs<T extends TType> - Class in org.tensorflow.op.core
guaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The guaranteedConstants input

H

h - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output h vector over the whole time sequence.
h() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets h.
h() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets h.
h() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets h.
halfPixelCenters - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The halfPixelCenters attribute
halfPixelCenters - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The halfPixelCenters attribute
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.QuantizedResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.QuantizedResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubic: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubic.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBicubicGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBicubicGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinear: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinear.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeBilinearGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeBilinearGrad.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighbor: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighbor.Options: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Static method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Sets the halfPixelCenters option.
halfPixelCenters(Boolean) - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Options: Sets the halfPixelCenters option.
handle - Variable in class org.tensorflow.op.core.BarrierClose.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierIncompleteSize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierReadySize.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The handle to a barrier.
handle - Variable in class org.tensorflow.op.core.DeleteSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle - Variable in class org.tensorflow.op.core.GetSessionTensor.Inputs: The handle for a tensor stored in the session state.
handle - Variable in class org.tensorflow.op.core.StackClose.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.StackPop.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.StackPush.Inputs: The handle to a stack.
handle - Variable in class org.tensorflow.op.core.TensorArrayClose.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArrayConcat.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The handle to the forward TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayPack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArraySize.Inputs: The handle to a TensorArray (output of TensorArray or TensorArrayGrad).
handle - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The handle input
handle - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The handle to a TensorArray.
handle - Variable in class org.tensorflow.op.data.DeleteIterator.Inputs: A handle to the iterator to delete.
handle - Variable in class org.tensorflow.op.data.DeleteMemoryCache.Inputs: The handle input
handle - Variable in class org.tensorflow.op.io.QueueClose.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueIsClosed.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.io.QueueSize.Inputs: The handle to a queue.
handle - Variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs: The handle input
handle - Variable in class org.tensorflow.op.random.DeleteSeedGenerator.Inputs: The handle input
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: The handle to a SparseConditionalAccumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The handle to a accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The handle to an accumulator.
handle - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: The handle to an accumulator.
handle() - Method in class org.tensorflow.op.core.Barrier: Gets handle.
handle() - Method in class org.tensorflow.op.core.DummyMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorList: Gets handle.
handle() - Method in class org.tensorflow.op.core.EmptyTensorMap: Gets handle.
handle() - Method in class org.tensorflow.op.core.GetSessionHandle: Gets handle.
handle() - Method in class org.tensorflow.op.core.StackCreate: Gets handle.
handle() - Method in class org.tensorflow.op.core.TensorArray: Gets handle.
handle() - Method in class org.tensorflow.op.core.TensorListReserve: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMemoryCache: Gets handle.
handle() - Method in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertCardinalityDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AssertPrevDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CacheDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestBranchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ConcatenateDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DataServiceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DatasetFromGraph: Gets handle.
handle() - Method in class org.tensorflow.op.data.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.DummyIterationCounter: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AssertNextDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.AutoShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ChooseFastestDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.CSVDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.LmdbDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.RebatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.experimental.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FilterDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FinalizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FixedLengthRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.FlatMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GeneratorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByReducerDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.GroupByWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.IgnoreErrorsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.InterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.Iterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.LatencyStatsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ListDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ListSnapshotChunksDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LMDBDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.LoadDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapAndBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MatchingFilesDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ModelDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.MultiDeviceIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.NonSerializableDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OneShotIterator: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptimizeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.OptionsDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PaddedBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelBatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelFilterDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelInterleaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParallelMapDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ParseExampleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrefetchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.PrivateThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RandomDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RangeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RebatchDatasetV2: Gets handle.
handle() - Method in class org.tensorflow.op.data.RepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.RewriteDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SamplingDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SaveDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ScanDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SetStatsAggregatorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShardDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ShuffleDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SkipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SleepDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SlidingWindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotChunkDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SnapshotNestedDatasetReader: Gets handle.
handle() - Method in class org.tensorflow.op.data.SparseTensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.SqlDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.StatsAggregatorHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TakeWhileDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TensorSliceDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TextLineDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.TfRecordDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.ThreadPoolHandle: Gets handle.
handle() - Method in class org.tensorflow.op.data.UnbatchDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.UniqueDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowDataset: Gets handle.
handle() - Method in class org.tensorflow.op.data.WindowOp: Gets handle.
handle() - Method in class org.tensorflow.op.data.ZipDataset: Gets handle.
handle() - Method in class org.tensorflow.op.io.FakeQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.FifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PaddingFifoQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.PriorityQueue: Gets handle.
handle() - Method in class org.tensorflow.op.io.RandomShuffleQueue: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.random.AnonymousSeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.random.DummySeedGenerator: Gets handle.
handle() - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Gets handle.
handle() - Method in class org.tensorflow.op.train.ConditionalAccumulator: Gets handle.
handle() - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Gets handle.
hasCapturedRef - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The hasCapturedRef attribute
hasCapturedRef(Boolean) - Static method in class org.tensorflow.op.data.FinalizeDataset: Sets the hasCapturedRef option.
hasCapturedRef(Boolean) - Method in class org.tensorflow.op.data.FinalizeDataset.Options: Sets the hasCapturedRef option.
hash - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hash attribute
hash(Long) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hash option.
hash(Long) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hash option.
hashCode() - Method in class org.tensorflow.DeviceSpec
hashCode() - Method in class org.tensorflow.GraphOperation
hashCode() - Method in class org.tensorflow.op.RawOp
hashCode() - Method in class org.tensorflow.op.RawOpInputs
hashCode() - Method in class org.tensorflow.Output
hashedOutput - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashedOutput attribute
hashKey - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The hashKey attribute
hashTable(Class<T>, Class, HashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates a non-initialized hash table.
HashTable - Class in org.tensorflow.op.core: Creates a non-initialized hash table.
HashTable(Operation) - Constructor for class org.tensorflow.op.core.HashTable
HashTable.Inputs - Class in org.tensorflow.op.core
HashTable.Options - Class in org.tensorflow.op.core: Optional attributes for HashTable
hashValid - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The hashValid attribute
hashValid(Boolean) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the hashValid option.
hashValid(Boolean) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the hashValid option.
hasKey() - Method in class org.tensorflow.op.core.TensorMapHasKey: Gets hasKey.
hasKnownShape - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.
hasValue() - Method in class org.tensorflow.op.data.OptionalHasValue: Gets hasValue.
head(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
head(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand containing the Shape's first dimension.
header - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The header input
header - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The header input
headerBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The headerBytes input
headerBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the header, defaults to 0.
headerBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the headerBytes option.
headerBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the headerBytes option.
Helpers - Class in org.tensorflow.op.core: Container class for core methods which add or perform several operations and return one of them.
hGrad - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The gradient of h vector.
hGrad - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The gradient of h vector.
histogramFixedWidth(Operand<T>, Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Return histogram of values.
histogramFixedWidth(Operand<T>, Operand<T>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: Return histogram of values.
HistogramFixedWidth - Class in org.tensorflow.op.core: Return histogram of values.
HistogramFixedWidth(Operation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth
HistogramFixedWidth.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
histogramSummary(Operand<TString>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a histogram.
HistogramSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a histogram.
HistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.HistogramSummary
HistogramSummary.Inputs - Class in org.tensorflow.op.summary
hopBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes to hop before each read.
hopBytes(Long) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the hopBytes option.
hopBytes(Long) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the hopBytes option.
hostComputeCore - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The hostComputeCore attribute
hostComputeCore - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The hostComputeCore attribute
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(List<String>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the hostComputeCore option.
hostComputeCore(List<String>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the hostComputeCore option.
hostComputeCore(List<String>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the hostComputeCore option.
hostComputeCore(List<String>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the hostComputeCore option.
hostConst(Tensor, Class<T>) - Method in class org.tensorflow.op.Ops: Returns a constant tensor on the host.
HostConst<T extends TType> - Class in org.tensorflow.op.core: Returns a constant tensor on the host.
HostConst(Operation) - Constructor for class org.tensorflow.op.core.HostConst
HostConst.Inputs - Class in org.tensorflow.op.core
hostReserved - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The hostReserved input
hostReserved() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets hostReserved.
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Initial output of cell (to be used for peephole).
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The hPrev input
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Output of the previous cell at previous time step.
hPrev - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The previous h state.
hPrevGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets hPrevGrad.
hsvToRgb(Operand<T>) - Method in class org.tensorflow.op.ImageOps: Convert one or more images from HSV to RGB.
HsvToRgb<T extends TNumber> - Class in org.tensorflow.op.image: Convert one or more images from HSV to RGB.
HsvToRgb(Operation) - Constructor for class org.tensorflow.op.image.HsvToRgb
HsvToRgb.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
hypothesisIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the hypothesis list SparseTensor.
hypothesisShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The shape of the hypothesis list SparseTensor.
hypothesisValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the hypothesis list SparseTensor.

I

i - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A vector.
i - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A vector.
i - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The input gate over the whole time sequence.
i - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input gate.
i() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets i.
i() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets i.
id - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The id input
id - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The id input
id() - Method in class org.tensorflow.op.core.Batch: Gets id.
idCounts - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The idCounts input
idCounts() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets idCounts.
identicalElementShapes - Variable in class org.tensorflow.op.core.TensorArray.Inputs: If true (default is false), then all elements in the TensorArray will be expected to have identical shapes.
identicalElementShapes(Boolean) - Static method in class org.tensorflow.op.core.TensorArray: Sets the identicalElementShapes option.
identicalElementShapes(Boolean) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the identicalElementShapes option.
identity(Operand<T>) - Method in class org.tensorflow.op.Ops: Return a tensor with the same shape and contents as the input tensor or value.
Identity<T extends TType> - Class in org.tensorflow.op.core: Return a tensor with the same shape and contents as the input tensor or value.
Identity(Operation) - Constructor for class org.tensorflow.op.core.Identity
Identity.Inputs<T extends TType> - Class in org.tensorflow.op.core
identityN(Iterable<Operand<?>>) - Method in class org.tensorflow.op.Ops: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN - Class in org.tensorflow.op.core: Returns a list of tensors with the same shapes and contents as the input tensors.
IdentityN(Operation) - Constructor for class org.tensorflow.op.core.IdentityN
IdentityN.Inputs - Class in org.tensorflow.op.core
identityReader(IdentityReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the queued work as both the key and value.
IdentityReader - Class in org.tensorflow.op.io: A Reader that outputs the queued work as both the key and value.
IdentityReader(Operation) - Constructor for class org.tensorflow.op.io.IdentityReader
IdentityReader.Inputs - Class in org.tensorflow.op.io
IdentityReader.Options - Class in org.tensorflow.op.io: Optional attributes for IdentityReader
ids() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets ids.
idsUnpaddedSize() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets idsUnpaddedSize.
idx() - Method in class org.tensorflow.op.core.SetDiff1d: Gets idx.
idx() - Method in class org.tensorflow.op.core.Unique: Gets idx.
idx() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets idx.
If - Interface in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
If.Options - Class in org.tensorflow.op.core: Optional attributes for If
ifft(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse fast Fourier transform.
Ifft<T extends TType> - Class in org.tensorflow.op.signal: Inverse fast Fourier transform.
Ifft(Operation) - Constructor for class org.tensorflow.op.signal.Ifft
Ifft.Inputs<T extends TType> - Class in org.tensorflow.op.signal
ifft2d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse 2D fast Fourier transform.
Ifft2d<T extends TType> - Class in org.tensorflow.op.signal: Inverse 2D fast Fourier transform.
Ifft2d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft2d
Ifft2d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
ifft3d(Operand<T>) - Method in class org.tensorflow.op.SignalOps: Inverse 3D fast Fourier transform.
Ifft3d<T extends TType> - Class in org.tensorflow.op.signal: Inverse 3D fast Fourier transform.
Ifft3d(Operation) - Constructor for class org.tensorflow.op.signal.Ifft3d
Ifft3d.Inputs<T extends TType> - Class in org.tensorflow.op.signal
ifftNd(Operand<T>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: ND inverse fast Fourier transform.
IfftNd<T extends TType> - Class in org.tensorflow.op.signal: ND inverse fast Fourier transform.
IfftNd(Operation) - Constructor for class org.tensorflow.op.signal.IfftNd
IfftNd.Inputs<T extends TType> - Class in org.tensorflow.op.signal
ifOp(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
igamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma<T extends TNumber> - Class in org.tensorflow.op.math: Compute the lower regularized incomplete Gamma function P(a, x).
Igamma(Operation) - Constructor for class org.tensorflow.op.math.Igamma
Igamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
igammac(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac<T extends TNumber> - Class in org.tensorflow.op.math: Compute the upper regularized incomplete Gamma function Q(a, x).
Igammac(Operation) - Constructor for class org.tensorflow.op.math.Igammac
Igammac.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
igammaGradA(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient of igamma(a, x) wrt a.
IgammaGradA<T extends TNumber> - Class in org.tensorflow.op.math: Computes the gradient of igamma(a, x) wrt a.
IgammaGradA(Operation) - Constructor for class org.tensorflow.op.math.IgammaGradA
IgammaGradA.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
ignoreErrorsDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that contains the elements of input_dataset ignoring errors.
ignoreErrorsDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, IgnoreErrorsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the elements of input_dataset ignoring errors.
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset
IgnoreErrorsDataset(Operation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data.experimental
IgnoreErrorsDataset.Inputs - Class in org.tensorflow.op.data
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for IgnoreErrorsDataset
IgnoreErrorsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for IgnoreErrorsDataset
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar.
ignoreLongerOutputsThanInputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar.
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the ignoreLongerOutputsThanInputs option.
ignoreLongerOutputsThanInputs(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the ignoreLongerOutputsThanInputs option.
ignoreLookupError - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: whether to ignore the error when the resource doesn't exist.
ignoreLookupError(Boolean) - Static method in class org.tensorflow.op.core.DestroyResourceOp: Sets the ignoreLookupError option.
ignoreLookupError(Boolean) - Method in class org.tensorflow.op.core.DestroyResourceOp.Options: Sets the ignoreLookupError option.
imag - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The imag input
imag(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
imag(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the imaginary part of a complex number.
Imag - Class in org.tensorflow.op.math: Returns the imaginary part of a complex number.
Imag(Operation) - Constructor for class org.tensorflow.op.math.Imag
Imag.Inputs - Class in org.tensorflow.op.math
image - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A 4-D tensor of shape [batch, image_height, image_width, depth].
image - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.EncodePng.Inputs: 3-D with shape [height, width, channels].
image - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 3-D of shape [height, width, channels].
image - Variable in class org.tensorflow.op.Ops
image() - Method in class org.tensorflow.op.image.DecodeAndCropJpeg: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeBmp: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeGif: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeImage: Gets image.
image() - Method in class org.tensorflow.op.image.DecodeJpeg: Gets image.
image() - Method in class org.tensorflow.op.image.DecodePng: Gets image.
imageInfo - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 2-D float tensor of shape [num_images, 5] containing image information Height, Width, Scale.
ImageOps - Class in org.tensorflow.op: An API for building image operations as Ops
imageProjectiveTransformV2(Operand<T>, Operand<TFloat32>, Operand<TInt32>, String, ImageProjectiveTransformV2.Options...) - Method in class org.tensorflow.op.ImageOps: Applies the given transform to each of the images.
ImageProjectiveTransformV2<T extends TNumber> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV2(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2
ImageProjectiveTransformV2.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ImageProjectiveTransformV2.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV2
imageProjectiveTransformV3(Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, String, ImageProjectiveTransformV3.Options...) - Method in class org.tensorflow.op.ImageOps: Applies the given transform to each of the images.
ImageProjectiveTransformV3<T extends TNumber> - Class in org.tensorflow.op.image: Applies the given transform to each of the images.
ImageProjectiveTransformV3(Operation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3
ImageProjectiveTransformV3.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ImageProjectiveTransformV3.Options - Class in org.tensorflow.op.image: Optional attributes for ImageProjectiveTransformV3
images - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: 4-D with shape [batch, height, width, depth].
images - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: Images to adjust.
images - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: 4-D Tensor with shape [batch, in_rows, in_cols, depth].
images - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: 4-D with shape [batch, height, width, channels].
images - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: 1-D or higher rank.
images - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The images input
imageShape() - Method in class org.tensorflow.op.image.ExtractJpegShape: Gets imageShape.
imageSize - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A 1-D tensor with value [batch, image_height, image_width, depth] containing the original image size.
imageSize - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
imageSize - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D, containing [height, width, channels].
imageSummary(Operand<TString>, Operand<? extends TNumber>, ImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with images.
ImageSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with images.
ImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.ImageSummary
ImageSummary.Inputs - Class in org.tensorflow.op.summary
ImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for ImageSummary
immutableConst(Class<T>, Shape, String) - Method in class org.tensorflow.op.Ops: Returns immutable tensor from memory region.
ImmutableConst<T extends TType> - Class in org.tensorflow.op.core: Returns immutable tensor from memory region.
ImmutableConst(Operation) - Constructor for class org.tensorflow.op.core.ImmutableConst
ImmutableConst.Inputs - Class in org.tensorflow.op.core
importEvent(Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: The ImportEvent operation
ImportEvent - Class in org.tensorflow.op.summary: The ImportEvent operation
ImportEvent(Operation) - Constructor for class org.tensorflow.op.summary.ImportEvent
ImportEvent.Inputs - Class in org.tensorflow.op.summary
importGraphDef(GraphDef) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
importGraphDef(GraphDef, String) - Method in class org.tensorflow.Graph: Import a representation of a TensorFlow graph.
inBackprop() - Method in class org.tensorflow.op.nn.Dilation2dBackpropInput: Gets inBackprop.
incarnationId - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Which incarnation of the MultiDeviceIterator is running.
incarnationId() - Method in class org.tensorflow.op.data.MultiDeviceIteratorInit: Gets incarnationId.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: Whether to include batch dimension in flattened index of argmax.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Options: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Static method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Sets the includeBatchInIndex option.
includeBatchInIndex(Boolean) - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax.Options: Sets the includeBatchInIndex option.
incompatibleShapeError - Variable in class org.tensorflow.op.math.Equal.Inputs: The incompatibleShapeError attribute
incompatibleShapeError - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The incompatibleShapeError attribute
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.Equal: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.Equal.Options: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Static method in class org.tensorflow.op.math.NotEqual: Sets the incompatibleShapeError option.
incompatibleShapeError(Boolean) - Method in class org.tensorflow.op.math.NotEqual.Options: Sets the incompatibleShapeError option.
index - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The index input
index - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A scalar tensor or a vector of dtype dtype.
index - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A scalar that determines the input that gets selected.
index - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorArrayRead.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The position to write to inside the TensorArray.
index - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The index input
index - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The index input
index - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the index of the current worker out of num_workers.
index - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the current worker index.
index - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The index in csr_sparse_matrix's batch.
index - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The index attribute
index - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The index attribute
index() - Method in class org.tensorflow.op.cluster.KMC2ChainInitialization: Gets index.
index() - Method in class org.tensorflow.op.core.DeviceIndex: Gets index.
index() - Method in class org.tensorflow.op.core.Where: Gets index.
index() - Method in class org.tensorflow.Output: Returns the index into the outputs of the Operation.
index(Long) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the index option.
index(Long) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the index option.
index(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the index option.
index(Long) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the index option.
Index - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.Slice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The Index attribute
Index - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The Index attribute
indexType - Variable in class org.tensorflow.op.core.Fill.Inputs: The indexType attribute
indexType - Variable in class org.tensorflow.op.nn.TopK.Inputs: The indexType attribute
indices - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.Gather.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OneHot.Inputs: A tensor of indices.
indices - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Tensor of indices.
indices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
indices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of indices into the first dimension of ref.
indices - Variable in class org.tensorflow.op.core.TensorArrayGather.Inputs: The locations in the TensorArray from which to read tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The locations at which to write the tensor elements.
indices - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The indices input
indices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Index tensor.
indices - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: An 0-D or 1-D int Tensor whose elements are indices into the flattened version of an array of dimensions dims.
indices - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The indices input
indices - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: Indices of nonzero elements.
indices - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor indices.
indices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: Indices in the outermost dimension of params of the values that should be gathered.
indices - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 2D int64 Tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing the indices of the sparse tensor to count.
indices - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 2-D.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: indices passed to the corresponding SparseSegmentMean op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: indices passed to the corresponding SparseSegmentSqrtN op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: indices passed to the corresponding SparseSegmentSum op.
indices - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 2-D tensor represents the indices of the sparse tensor.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: A vector of indices into the first dimension of var and accum.
indices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: A vector of indices into the first dimension of var, ms and mom.
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The indices input
indices - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The indices input
indices() - Method in class org.tensorflow.op.core.ApproxTopK: Gets indices.
indices() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets indices.
indices() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets indices.
indices() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets indices.
indices() - Method in class org.tensorflow.op.nn.TopK: Gets indices.
indices() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets indices.
indices() - Method in class org.tensorflow.op.strings.StringSplit: Gets indices.
indices() - Method in interface org.tensorflow.SparseTensor: Gets the indices of the sparsed values.
indicesOrRowSplits - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The indicesOrRowSplits input
infeedDequeue(Class<T>, Shape) - Method in class org.tensorflow.op.TpuOps: A placeholder op for a value that will be fed into the computation.
InfeedDequeue<T extends TType> - Class in org.tensorflow.op.tpu: A placeholder op for a value that will be fed into the computation.
InfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue
InfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
infeedDequeueTuple(List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.TpuOps: Fetches multiple values from infeed as an XLA tuple.
InfeedDequeueTuple - Class in org.tensorflow.op.tpu: Fetches multiple values from infeed as an XLA tuple.
InfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple
InfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
infeedEnqueue(Operand<? extends TType>, InfeedEnqueue.Options...) - Method in class org.tensorflow.op.TpuOps: An op which feeds a single Tensor value into the computation.
InfeedEnqueue - Class in org.tensorflow.op.tpu: An op which feeds a single Tensor value into the computation.
InfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue
InfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueue.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueue
infeedEnqueuePrelinearizedBuffer(Operand<? extends TType>, InfeedEnqueuePrelinearizedBuffer.Options...) - Method in class org.tensorflow.op.TpuOps: An op which enqueues prelinearized buffer into TPU infeed.
InfeedEnqueuePrelinearizedBuffer - Class in org.tensorflow.op.tpu: An op which enqueues prelinearized buffer into TPU infeed.
InfeedEnqueuePrelinearizedBuffer(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer
InfeedEnqueuePrelinearizedBuffer.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueuePrelinearizedBuffer.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueuePrelinearizedBuffer
infeedEnqueueTuple(Iterable<Operand<?>>, List<Shape>, InfeedEnqueueTuple.Options...) - Method in class org.tensorflow.op.TpuOps: Feeds multiple Tensor values into the computation as an XLA tuple.
InfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Feeds multiple Tensor values into the computation as an XLA tuple.
InfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple
InfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
InfeedEnqueueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for InfeedEnqueueTuple
init - Variable in class org.tensorflow.op.core.Empty.Inputs: If True, initialize the returned tensor with the default value of dtype.
init(Boolean) - Static method in class org.tensorflow.op.core.Empty: Sets the init option.
init(Boolean) - Method in class org.tensorflow.op.core.Empty.Options: Sets the init option.
initDefault(EagerSession.Options) - Static method in class org.tensorflow.EagerSession: Initializes the default eager session, which remains active for the lifetime of the application.
initFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The initFuncOtherArgs input
initFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
initFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for init_func.
initialize() - Method in class org.tensorflow.Session: Execute any un-ran initializers.
initializeTable(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Table initializer that takes two tensors for keys and values respectively.
InitializeTable - Class in org.tensorflow.op.core: Table initializer that takes two tensors for keys and values respectively.
InitializeTable(Operation) - Constructor for class org.tensorflow.op.core.InitializeTable
InitializeTable.Inputs - Class in org.tensorflow.op.core
initializeTableFromDataset(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The InitializeTableFromDataset operation
InitializeTableFromDataset - Class in org.tensorflow.op.data: The InitializeTableFromDataset operation
InitializeTableFromDataset(Operation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset
InitializeTableFromDataset.Inputs - Class in org.tensorflow.op.data
initializeTableFromTextFile(Operand<? extends TType>, Operand<TString>, Long, Long, InitializeTableFromTextFile.Options...) - Method in class org.tensorflow.op.Ops: Initializes a table from a text file.
InitializeTableFromTextFile - Class in org.tensorflow.op.core: Initializes a table from a text file.
InitializeTableFromTextFile(Operation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile
InitializeTableFromTextFile.Inputs - Class in org.tensorflow.op.core
InitializeTableFromTextFile.Options - Class in org.tensorflow.op.core: Optional attributes for InitializeTableFromTextFile
initializingValues - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: A float Tensor containing values to fill in for cells in the output matrix that are not loaded from the checkpoint.
initialNumBuckets - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The initial number of hash table buckets.
initialNumBuckets - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The initial number of hash table buckets.
initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the initialNumBuckets option.
initialNumBuckets(Long) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the initialNumBuckets option.
initialState - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The initialState input
initialState - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A nested structure of tensors, representing the initial state of the transformation.
initialState - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The initialState input
inplaceAdd(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Adds v into specified rows of x.
InplaceAdd<T extends TType> - Class in org.tensorflow.op.core: Adds v into specified rows of x.
InplaceAdd(Operation) - Constructor for class org.tensorflow.op.core.InplaceAdd
InplaceAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
inplaceSub(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Subtracts `v` into specified rows of `x`.
InplaceSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts `v` into specified rows of `x`.
InplaceSub(Operation) - Constructor for class org.tensorflow.op.core.InplaceSub
InplaceSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
inplaceUpdate(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.Ops: Updates specified rows 'i' with values 'v'.
InplaceUpdate<T extends TType> - Class in org.tensorflow.op.core: Updates specified rows 'i' with values 'v'.
InplaceUpdate(Operation) - Constructor for class org.tensorflow.op.core.InplaceUpdate
InplaceUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
input - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Float representation of audio data.
input - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The local input to be permuted.
input - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The input input
input - Variable in class org.tensorflow.op.core.All.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Any.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Array to search.
input - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: 4-D tensor with shape [batch*block_size*block_size, height_pad/block_size, width_pad/block_size, depth].
input - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The input input
input - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: A Tensor to broadcast.
input - Variable in class org.tensorflow.op.core.Bucketize.Inputs: Any shape of Tensor contains with int or float type.
input - Variable in class org.tensorflow.op.core.Copy.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.CopyHost.Inputs: Input tensor.
input - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The input input
input - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The input input
input - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: A tensor, whose shape is to be validated.
input - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 5-D Tensor with shape [batch, in_planes, in_rows, in_cols, depth].
input - Variable in class org.tensorflow.op.core.For.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Identity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The input input
input - Variable in class org.tensorflow.op.core.LoopCond.Inputs: A boolean scalar, representing the branch predicate of the Switch op.
input - Variable in class org.tensorflow.op.core.MakeUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Max.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Min.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The input tensor to be padded.
input - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The input tensor to be folded.
input - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.core.Pad.Inputs: The input input
input - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The default value to produce when output is not fed.
input - Variable in class org.tensorflow.op.core.Print.Inputs: The string scalar to print.
input - Variable in class org.tensorflow.op.core.Prod.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.Rank.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Relayout.Inputs: The input input
input - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The input to reverse.
input - Variable in class org.tensorflow.op.core.Roll.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
input - Variable in class org.tensorflow.op.core.Shape.Inputs: The input input
input - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Size.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Slice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The input input
input - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: N-D with shape input_shape = [batch] + spatial_shape + remaining_shape, where spatial_shape has M dimensions.
input - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The input to squeeze.
input - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input tensors passed to the branch function.
input - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input tensors.
input - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: A list of input tensors whose types are T.
input - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The operand to stochastically cast to int.
input - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The input input
input - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Sum.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The input input
input - Variable in class org.tensorflow.op.core.Tile.Inputs: Can be of any rank.
input - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The input input
input - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The input input
input - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Input tensor, non-Reference type
input - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Input tensor, non-Reference type.
input - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Input tensor, to be summarized by the op.
input - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The input input
input - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The input input
input - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The input input
input - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 4-D float tensor of shape [batch_size, height, width, channels].
input - Variable in class org.tensorflow.op.io.DecodeBase64.Inputs: Base64 strings to decode.
input - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Strings to be encoded.
input - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: Rank k tensor.
input - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Det.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Eig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.linalg.Inv.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: Shape is [N, M, M].
input - Variable in class org.tensorflow.op.linalg.Lu.Inputs: A tensor of shape [..., M, M] whose inner-most 2 dimensions form matrices of size [M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Rank r tensor where r >= 2.
input - Variable in class org.tensorflow.op.linalg.MatrixExponential.Inputs: The input input
input - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Rank r+1, where r >= 1.
input - Variable in class org.tensorflow.op.linalg.Qr.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: Tensor input of shape [N, N].
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: A CSRSparseMatrix.
input - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: Shape is [..., M, M].
input - Variable in class org.tensorflow.op.linalg.Svd.Inputs: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N].
input - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: Rank k tensor where k is even and not zero.
input - Variable in class org.tensorflow.op.math.Angle.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The input input
input - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Conj.Inputs: The input input
input - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: 1D or 2D int Tensor.
input - Variable in class org.tensorflow.op.math.Imag.Inputs: The input input
input - Variable in class org.tensorflow.op.math.Mean.Inputs: The tensor to reduce.
input - Variable in class org.tensorflow.op.math.Real.Inputs: The input input
input - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.Conv.Inputs: Tensor of type T and shape batch_shape + spatial_shape + [in_channels] in the case that channels_last_format = true or shape batch_shape + [in_channels] + spatial_shape if channels_last_format = false.
input - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: A 4-D tensor.
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: Shape [batch, in_depth, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Shape [batch, depth, rows, cols, in_channels].
input - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
input - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, in_height, in_width, depth].
input - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 4-D with shape [batch, in_height, in_width, in_channels].
input - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: A (batch_size, dim)-tensor holding a batch of inputs.
input - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: 4-D.
input - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: 4-D input to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: Shape [batch, depth, rows, cols, channels] tensor to pool over.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The original input.
input - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 1-D or higher with last dimension at least n+1.
input - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
input - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The original input tensor.
input - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The 4D (batch x rows x cols x depth) Tensor to MaxReduce over.
input - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 4-D with shape [batch, height, width, depth].
input - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The input input
input - Variable in class org.tensorflow.op.nn.TopK.Inputs: 1-D or higher with last dimension at least k.
input - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Tensor to quantize and then dequantize.
input - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The input input
input - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: Must be a Tensor of Tin.
input - Variable in class org.tensorflow.op.signal.BatchFft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchFft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft2d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.BatchIfft3d.Inputs: The input input
input - Variable in class org.tensorflow.op.signal.Fft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.FftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.signal.Rfft.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: A float32 tensor.
input - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: A complex tensor.
input - Variable in class org.tensorflow.op.strings.Lower.Inputs: The input to be lower-cased.
input - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: A string tensor of the text to be processed.
input - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The strings for which to compute the length for each element.
input - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 1-D string Tensor, the strings to split.
input - Variable in class org.tensorflow.op.strings.Strip.Inputs: A string Tensor of any shape.
input - Variable in class org.tensorflow.op.strings.Substr.Inputs: Tensor of strings
input - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The strings to assign a hash bucket.
input - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The text to be decoded.
input - Variable in class org.tensorflow.op.strings.UnicodeScript.Inputs: A Tensor of int32 Unicode code points.
input - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The text to be processed.
input - Variable in class org.tensorflow.op.strings.Upper.Inputs: The input to be upper-cased.
input - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The local input to the sum.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A tensor that will be provided using the infeed mechanism.
input - Variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs: A variant tensor representing linearized output.
input - Variable in class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs: A tensor that will be inserted into the outfeed queue.
input - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A tensor that will be linearized.
input - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The input input
input - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: An XLA tuple including integer and float elements as deduplication data tuple.
input - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The input input
input - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: any tensor.
input - Variable in class org.tensorflow.op.train.SdcaFprint.Inputs: vector of strings to compute fingerprints on.
input - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: a list of input tensors of size N + M;
input - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The input input
input - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Input tensor to split across all dimensions.
input - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The input input
input(int) - Method in class org.tensorflow.GraphOperation: Gets the input at the given index
input(String, Operand<?>) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an input of the function.
inputA - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputA input
inputB - Variable in class org.tensorflow.op.core.TensorListConcatLists.Inputs: The inputB input
inputBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputBackprop.
inputBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputBackprop.
inputBytes - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Tensor of string to be decoded.
inputC - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputC input
inputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputC input
inputCBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputCBackprop.
inputDataset - Variable in class org.tensorflow.op.core.GetOptions.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetFingerprint.Inputs: A variant tensor representing the dataset to return fingerprint for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: A variant tensor representing the dataset to return the graph representation for.
inputDataset - Variable in class org.tensorflow.op.data.DatasetToTfRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs: A variant tensor representing the dataset to return cardinality for.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs: A variant tensor representing the dataset to write.
inputDataset - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A handle to an input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Dataset that produces a stream of arguments for the function f.
inputDataset - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: A variant tensor representing the input dataset.
inputDataset - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The inputDataset input
inputDataset - Variable in class org.tensorflow.op.train.ComputeBatchSize.Inputs: The inputDataset input
inputDatasets - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The inputDatasets input
inputDatasets - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: List of N variant Tensors representing datasets to be zipped together.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Text encoding of the input strings.
inputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Text encoding of the input strings.
inputGrads - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputH - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputH input
inputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputH input
inputHandle - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGather.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListGetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListLength.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPopBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapSize.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs: The inputHandle input
inputHandle - Variable in class org.tensorflow.op.data.WrapDatasetVariant.Inputs: The inputHandle input
inputHandles - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The inputHandles input
inputHBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets inputHBackprop.
inputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 2-D.
inputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
inputLayouts - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The inputLayouts attribute
inputList(int, int) - Method in class org.tensorflow.GraphOperation: Get the input list that starts at idx and has length length
inputListLength(String) - Method in class org.tensorflow.GraphOperation
inputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the given inputs list of Tensors for this operation.
inputMax - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The maximum value of the input.
inputMax - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the maximum input value that needs to be represented, otherwise it is determined from the max value of the input tensor.
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMax input
inputMax - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the maximum quantized input value represents.
inputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized input value represents.
inputMaxBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMaxBackprop.
inputMaxes - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The maximum scalar values for each of the input tensors.
inputMin - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The minimum value of the input.
inputMin - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the input tensor
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If range_given == True, this specifies the minimum input value that needs to be represented, otherwise it is determined from the min value of the input tensor.
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The inputMin input
inputMin - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The float value that the minimum quantized input value represents.
inputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized input value represents.
inputMinBackprop() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: Gets inputMinBackprop.
inputMins - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The minimum scalar values for each of the input tensors.
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputMode attribute
inputMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputMode attribute
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the inputMode option.
inputMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the inputMode option.
inputMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the inputMode option.
inputNames() - Method in class org.tensorflow.Signature: Returns the names of the inputs in this signature
inputOrder - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: String specifying the tensor type for each input.
inputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization axis that was used when quantizing original data that input represents.
inputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Sets the inputQuantizationAxis option.
inputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformRequantize.Options: Sets the inputQuantizationAxis option.
inputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization max value that was used when quantizing original data that input represents.
inputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The quantization min value that was used when quantizing original data that input represents.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: Input data quantization mode.
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The inputQuantMode attribute
inputQuantMode - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The inputQuantMode attribute
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the inputQuantMode option.
inputQuantMode(String) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the inputQuantMode option.
inputQuantMode(String) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the inputQuantMode option.
inputRaggedRank - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The ragged rank of each encoded RaggedTensor component in the input.
inputs - Variable in class org.tensorflow.op.core.Merge.Inputs: The input tensors, exactly one of which will become available.
inputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The input tensors, exactly one of which will become available.
inputs - Variable in class org.tensorflow.op.core.RefSelect.Inputs: A list of ref tensors, one of which will be forwarded to output.
inputs - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: List of 1 or 2 Tensors.
inputs - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: A list of Tensor objects, each with same shape and type.
inputs - Variable in class org.tensorflow.op.math.AddN.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: 3-D, shape: (max_time x batch_size x num_classes), the logits.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation.
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients.
inputs - Variable in class org.tensorflow.op.strings.Join.Inputs: A list of string tensors.
inputs - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The input to be joined.
inputs - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The list of tensors to format into the placeholder string.
inputs - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.summary.MergeSummary.Inputs: Can be of any shape.
inputs - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
inputs - Variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs: A list of tensors that will be inserted into the outfeed queue as an XLA tuple.
inputs - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: A list of partitioned inputs which must have the same shape.
inputs - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: A tensor which represents the full shape of partitioned tensors.
inputs - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A list of tensors that will be provided using the infeed mechanism.
inputs - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of gradients with which to update embedding tables.
inputs - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The inputs input
inputs - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: The inputs input
inputs - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Input tensor slices in row-major order to merge across all dimensions.
inputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A list of tensors that will be sent to the host.
inputs() - Method in class org.tensorflow.GraphOperation: Get the op's inputs, not including control inputs.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.AudioSpectrogram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.DecodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.EncodeWav.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.audio.Mfcc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.BitwiseXor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.Invert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.LeftShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.bitwise.RightShift.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveAllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveAssignGroup.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveBcastSend.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectivePermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Abort.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.All.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Any.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ApproxTopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssertThat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Assign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignAddVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignSubVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.AssignVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Barrier.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierInsertMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierReadySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BarrierTakeMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Batch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchFunction.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BatchToSpaceNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bitcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastGradientArgs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.BroadcastTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Bucketize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ClipByValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Concat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ConcatOffset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ConsumeMutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ControlTrigger.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Copy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyToMesh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CopyToMeshGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.CountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DecodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeepCopy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeleteSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyResourceOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DeviceIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DummyMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicPartition.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.DynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EditDistance.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Empty.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EmptyTensorMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EncodeProto.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.EnsureShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Enter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Exit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExpandDims.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ExtractVolumePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.FakeParam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fill.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Fingerprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.For.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Gather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetElementAtIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetOptions.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GetSessionTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.GuaranteeConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HistogramFixedWidth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.HostConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Identity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IdentityN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ImmutableConst.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.InplaceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LinSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableExport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableFind.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableImport.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableRemove.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LookupTableSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LoopCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.LowerBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MakeUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapDefun.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Max.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Merge.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Min.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Mutex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.MutexLock.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.NoOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OneHot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OnesLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapStage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Pad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.PartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Placeholder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Print.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Prod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.QuantizedReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RandomIndexShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Range.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Rank.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReadVariableOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Recv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceAny.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefEnter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefExit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefMerge.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefNextIteration.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSelect.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RefSwitch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Relayout.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RelayoutLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.RemoteCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Reverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ReverseSequence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Roll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ScatterUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Select.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Send.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetDiff1d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SetSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Shape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ShapeN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Size.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Skipgram.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Slice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Snapshot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Split.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SplitV.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Squeeze.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackCreate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackPop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StackPush.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Stage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageClear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StagePeek.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StageSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatefulWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessCase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessIf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StatelessWhile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StochasticCastToInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StopGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Sum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SwitchCond.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.SyncDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TemporaryVariable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArray.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayPack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArraySplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListElementShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListGetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPopBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListReserve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSetItem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorListStack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapErase.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapInsert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapLookup.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Tile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Timestamp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.TopKWithUnique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unbatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnbatchGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unique.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UnravelIndex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstack.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Unstage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.UpperBound.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarHandleOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Variable.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VariableShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.Where.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.core.ZerosLike.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertCardinalityDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AssertPrevDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CacheDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ConcatenateDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DataServiceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetFingerprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetFromGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToGraph.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToSingleElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DatasetToTfRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMemoryCache.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DeserializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.DummyIterationCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.CSVDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetCardinality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DatasetToTFRecord.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FilterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FinalizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.FlatMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GeneratorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByReducerDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.GroupByWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InitializeTableFromDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.InterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.Iterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNext.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ListDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LMDBDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.LoadDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MakeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ModelDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OneShotIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptimizeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalFromValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalGetValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalHasValue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionalNone.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.OptionsDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelFilterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrefetchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RandomDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RangeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ReduceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RegisterDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.RewriteDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SamplingDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SaveDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ScanDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SerializeIterator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShardDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ShuffleDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SkipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SleepDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotChunkDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.SqlDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TextLineDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.TfRecordDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnbatchDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UncompressElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UniqueDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WindowOp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.data.ZipDataset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.CheckNumerics.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugIdentity.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNanCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.distribute.NcclReduce.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.AsString.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Cast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.Complex.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.dtypes.ToBool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustContrast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustHue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.AdjustSaturation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.CropAndResizeGradImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeBmp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeGif.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeImage.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DecodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.DrawBoundingBoxes.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpeg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.EncodePng.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractGlimpse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractImagePatches.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ExtractJpegShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.HsvToRgb.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NearestNeighbors.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RandomCrop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeArea.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubic.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinear.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.RgbToHsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCompressed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeCsv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeJsonExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodePaddedRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DecodeRaw.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DeserializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.DisableCopyOnRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.EncodeBase64.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FakeQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.FixedLengthRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.IdentityReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.LmdbReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.MatchingFiles.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ParseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.PriorityQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueClose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueIsClosed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.QueueSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRead.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderReset.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ReadFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeManySparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.SerializeTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilename.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.ShardedFilespec.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TextLineReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.TfRecordReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WholeFileReader.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.io.WriteFile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.BatchSvd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.CholeskyGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.ConjugateTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Cross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Det.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Eig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Einsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.EuclideanNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Inv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Lu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixExponential.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Qr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Solve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Sqrtm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Svd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.Transpose.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Abs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AccumulateN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Acosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Add.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.AddN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Angle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ApproximateEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ArgMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Asinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atan2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Atanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.BesselI1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Betainc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Bincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ceil.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ComplexAbs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Conj.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cosh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumprod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Cumsum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.CumulativeLogsumexp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DenseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Digamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Div.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.DivNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Equal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Erfc.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.erfinv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Exp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Expm1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Fact.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Floor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.FloorMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Greater.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.GreaterEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Igammac.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IgammaGradA.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Imag.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.InvertPermutation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsFinite.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsInf.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.IsNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Less.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LessEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Lgamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Log1p.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalAnd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalNot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.LogicalOr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Maximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Minimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Mul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.MulNoNan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Ndtri.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Neg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NextAfter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.NotEqual.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Polygamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.PopulationCount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Pow.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.QuantizedMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Real.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RealDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Reciprocal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Round.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Rsqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.RsqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sigmoid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SigmoidGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sinh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SobolSample.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Softplus.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SoftplusGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselJ1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK0e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselK1e.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY0.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.BesselY1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Dawsn.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Expint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelCos.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.FresnelSin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.special.Spence.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sqrt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SqrtGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Square.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.SquaredDifference.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Sub.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tan.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Tanh.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TanhGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.TruncateMod.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UniformQuantizedAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xdivy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlog1py.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Xlogy.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.math.Zeta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.AvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BiasAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTM.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.BlockLSTMGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CtcLoss.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CTCLossV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatDimMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DataFormatVecPermute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthToSpace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Elu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.EluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InTopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.InvGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.L2Loss.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LeakyRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LogSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.NthElement.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Relu6Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.ReluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Selu.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SeluGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.Softsign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.TopK.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Dequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Quantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.Requantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformDequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.quantization.UniformRequantize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedGather.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedRange.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AllCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteRandomSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DeleteSeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.DummySeedGenerator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.Multinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomShuffle.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RecordInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.RngSkip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.TruncatedNormal.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchFft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.BatchIfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Fft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.FftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Ifft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.IfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Irfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.IrfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft2d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.Rfft3d.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.signal.RfftNd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.DeserializeSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseBincount.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConcat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCross.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReorder.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseReshape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToDense.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Join.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Lower.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ReduceJoin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.RegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringFormat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringLength.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringNGrams.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.StringSplit.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Strip.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Substr.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucket.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.ToNumber.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeScript.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.strings.Upper.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.AudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CloseSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.FlushSummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.HistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ImportEvent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.MergeSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.ScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.SummaryWriter.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.TensorSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.summary.WriteSummary.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.AllToAll.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompilationResult.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Compile.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CompileSucceededAssert.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ComputeDedupDataTupleMask.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbedding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.CrossReplicaSum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DTensorRestore.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Execute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.GlobalIterId.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.MergeDedupData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.Prelinearize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.ShutdownTPUSystem.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.SplitDedupData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TpuHandleToProtoKey.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.TPURoundRobin.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.BatchMatMul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ComputeBatchSize.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.DistributedSave.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.GenerateVocabRemapping.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.NegTrain.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.PreventGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Restore.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.RestoreSlice.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.Save.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SaveSlices.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaFprint.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.SymbolicGradient.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.train.TileGrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.AssignVariableConcatND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ConcatND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.SplitND.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs
Inputs(GraphOperation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs
inputScales - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The float value(s) used as scale(s) when quantizing original data that input represents.
inputsClass() - Element in annotation type org.tensorflow.op.annotation.OpMetadata: The typesafe inputs class (which should be annotated with OpInputsMetadata).
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
inputShapes - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The inputShapes attribute
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The inputSize input
inputSize - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The inputSize attribute
inputSize - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The inputSize attribute
inputSizes - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: An integer vector representing the shape of input, where input is a 4-D [batch, height, width, channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: An integer vector representing the tensor shape of input, where input is a 5-D [batch, depth, rows, cols, in_channels] tensor.
inputSizes - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: An integer vector representing the shape of input, based on data_format.
inputSplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor specifying how the unicode codepoints should be split into strings.
inputStart - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 1-D.
inputTypes - Variable in class org.tensorflow.op.data.CompressElement.Inputs: The inputTypes attribute
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: 1-D.
inputValues - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: A 1D tensor containing the unicode codepoints that should be encoded.
inputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The int32 value(s) used as zero_point(s) when quantizing original data that input represents.
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The instanceKey input
instanceKey - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The instanceKey input
integerTensor - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A 1-D integer tensor, includes integer elements of deduplication data tuple.
integerTensor() - Method in class org.tensorflow.op.tpu.SplitDedupData: Gets integerTensor.
integerType - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: integer_tensor type.
integerType - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: integer_tensor type.
inTensors - Variable in class org.tensorflow.op.core.Batch.Inputs: The inTensors input
inTensors - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The tensors to be batched.
interleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, InterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
InterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.InterleaveDataset
InterleaveDataset.Inputs - Class in org.tensorflow.op.data
InterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for InterleaveDataset
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
interpolation - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: Interpolation method, "NEAREST" or "BILINEAR".
inTopK(Operand<TFloat32>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Says whether the targets are in the top K predictions.
InTopK - Class in org.tensorflow.op.nn: Says whether the targets are in the top K predictions.
InTopK(Operation) - Constructor for class org.tensorflow.op.nn.InTopK
InTopK.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
inv(Operand<T>, Inv.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv<T extends TType> - Class in org.tensorflow.op.linalg: Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).
Inv(Operation) - Constructor for class org.tensorflow.op.linalg.Inv
Inv.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Inv.Options - Class in org.tensorflow.op.linalg: Optional attributes for Inv
invert(Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert<T extends TNumber> - Class in org.tensorflow.op.bitwise: Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010.
Invert(Operation) - Constructor for class org.tensorflow.op.bitwise.Invert
Invert.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
invertPermutation(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the inverse permutation of a tensor.
InvertPermutation<T extends TNumber> - Class in org.tensorflow.op.math: Computes the inverse permutation of a tensor.
InvertPermutation(Operation) - Constructor for class org.tensorflow.op.math.InvertPermutation
InvertPermutation.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
invGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes the gradient for the inverse of x wrt its input.
InvGrad<T extends TType> - Class in org.tensorflow.op.nn: Computes the gradient for the inverse of x wrt its input.
InvGrad(Operation) - Constructor for class org.tensorflow.op.nn.InvGrad
InvGrad.Inputs<T extends TType> - Class in org.tensorflow.op.nn
io - Variable in class org.tensorflow.op.Ops
ioIndex - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The index of which the tensor is an input or output of the node.
ioIndex(Long) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the ioIndex option.
ioIndex(Long) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the ioIndex option.
ioOfNode - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the node of which the tensor is an input or output.
ioOfNode(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the ioOfNode option.
ioOfNode(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the ioOfNode option.
IoOps - Class in org.tensorflow.op: An API for building io operations as Ops
iouThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
iouThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too much with respect to IOU.
irfft(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
irfft(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse real-valued fast Fourier transform.
Irfft - Class in org.tensorflow.op.signal: Inverse real-valued fast Fourier transform.
Irfft(Operation) - Constructor for class org.tensorflow.op.signal.Irfft
Irfft.Inputs - Class in org.tensorflow.op.signal
irfft2d(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
irfft2d(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 2D real-valued fast Fourier transform.
Irfft2d - Class in org.tensorflow.op.signal: Inverse 2D real-valued fast Fourier transform.
Irfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft2d
Irfft2d.Inputs - Class in org.tensorflow.op.signal
irfft3d(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
irfft3d(Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Inverse 3D real-valued fast Fourier transform.
Irfft3d - Class in org.tensorflow.op.signal: Inverse 3D real-valued fast Fourier transform.
Irfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Irfft3d
Irfft3d.Inputs - Class in org.tensorflow.op.signal
irfftNd(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.SignalOps: ND inverse real fast Fourier transform.
irfftNd(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: ND inverse real fast Fourier transform.
IrfftNd - Class in org.tensorflow.op.signal: ND inverse real fast Fourier transform.
IrfftNd(Operation) - Constructor for class org.tensorflow.op.signal.IrfftNd
IrfftNd.Inputs - Class in org.tensorflow.op.signal
isClosed() - Method in class org.tensorflow.op.io.QueueIsClosed: Gets isClosed.
isClosed() - Method in class org.tensorflow.Output: Returns whether the underlying operation has no valid handle.
isConstant - Variable in class org.tensorflow.op.core.Enter.Inputs: If true, the output is constant within the child frame.
isConstant - Variable in class org.tensorflow.op.core.RefEnter.Inputs: If true, the output is constant within the child frame.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.Enter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.Enter.Options: Sets the isConstant option.
isConstant(Boolean) - Static method in class org.tensorflow.op.core.RefEnter: Sets the isConstant option.
isConstant(Boolean) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the isConstant option.
isEager() - Method in interface org.tensorflow.ExecutionEnvironment
isEmpty() - Method in class org.tensorflow.Session.Runner: True if there are no targets or fetches.
isFiles - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The isFiles attribute
isFiles(Boolean) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the isFiles option.
isFiles(Boolean) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the isFiles option.
isFinite(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are finite.
IsFinite - Class in org.tensorflow.op.math: Returns which elements of x are finite.
IsFinite(Operation) - Constructor for class org.tensorflow.op.math.IsFinite
IsFinite.Inputs - Class in org.tensorflow.op.math
isGlobalInit - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Reserved.
isGlobalInit(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the isGlobalInit option.
isGlobalInit(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the isGlobalInit option.
isGraph() - Method in interface org.tensorflow.ExecutionEnvironment
isInf(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are Inf.
IsInf - Class in org.tensorflow.op.math: Returns which elements of x are Inf.
IsInf(Operation) - Constructor for class org.tensorflow.op.math.IsInf
IsInf.Inputs - Class in org.tensorflow.op.math
isInit() - Method in class org.tensorflow.op.NativeScope
isInit() - Method in class org.tensorflow.op.OpScope
isInit() - Method in interface org.tensorflow.op.Scope: Get whether this scope is building init ops.
isInitialized() - Method in class org.tensorflow.op.core.IsVariableInitialized: Gets isInitialized.
isInitialized() - Method in class org.tensorflow.op.core.VarIsInitializedOp: Gets isInitialized.
isInitializer(Operation) - Method in class org.tensorflow.EagerSession: Noop, initialization is meaningless for eager sessions
isInitializer(Operation) - Method in interface org.tensorflow.ExecutionEnvironment: Get whether an op is an initialization op.
isInitializer(Operation) - Method in class org.tensorflow.Graph
isInput - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: If true, the tensor is an input of the node; otherwise the output.
isInput(Boolean) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the isInput option.
isInput(Boolean) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the isInput option.
isList - Variable in class org.tensorflow.op.AttributeMetadata: Whether this attribute is a list.
isMaxK - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When true, computes max-k; otherwise computes min-k.
isMaxK(Boolean) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the isMaxK option.
isMaxK(Boolean) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the isMaxK option.
isMirroredVariable - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isMirroredVariable attribute
isMirroredVariable - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isMirroredVariable attribute
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isMirroredVariable option.
isMirroredVariable(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isMirroredVariable option.
isNan(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Returns which elements of x are NaN.
IsNan - Class in org.tensorflow.op.math: Returns which elements of x are NaN.
IsNan(Operation) - Constructor for class org.tensorflow.op.math.IsNan
IsNan.Inputs - Class in org.tensorflow.op.math
isOpEnabled(String) - Method in class org.tensorflow.EagerSession
isOpEnabled(String) - Method in interface org.tensorflow.ExecutionEnvironment: Returns true if the given operation is valid in this execution environment.
isOpStateful(String) - Static method in class org.tensorflow.TensorFlow
isotonicRegression(Operand<? extends TNumber>) - Method in class org.tensorflow.op.NnOps: Solves a batch of isotonic regression problems.
isotonicRegression(Operand<? extends TNumber>, Class) - Method in class org.tensorflow.op.NnOps: Solves a batch of isotonic regression problems.
IsotonicRegression - Class in org.tensorflow.op.nn: Solves a batch of isotonic regression problems.
IsotonicRegression(Operation) - Constructor for class org.tensorflow.op.nn.IsotonicRegression
IsotonicRegression.Inputs - Class in org.tensorflow.op.nn
isPacked - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: Indicates whether the input is a packed resource.
isPacked - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The isPacked attribute
isPacked - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The isPacked attribute
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.PartitionedInput: Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.PartitionedInput.Options: Sets the isPacked option.
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicatedInput: Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.ReplicatedInput.Options: Sets the isPacked option.
isPacked(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Sets the isPacked option.
isPacked(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicatedInput.Options: Deprecated.

Sets the isPacked option.
isSparse() - Method in interface org.tensorflow.Tensor: Check if this tensor is sparse or not.
isStateful() - Method in class org.tensorflow.ConcreteFunction: Get whether the function is stateful.
isStateless - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The isStateless attribute
isStateless - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The isStateless attribute
isStateless(Boolean) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the isStateless option.
isStateless(Boolean) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the isStateless option.
isStateless(Boolean) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the isStateless option.
isStateless(Boolean) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the isStateless option.
isTpuEmbeddingInitialized() - Method in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: Gets isTpuEmbeddingInitialized.
isTPUEmbeddingInitialized(IsTPUEmbeddingInitialized.Options...) - Method in class org.tensorflow.op.TpuOps: Whether TPU Embedding is initialized in a distributed TPU system.
IsTPUEmbeddingInitialized - Class in org.tensorflow.op.tpu: Whether TPU Embedding is initialized in a distributed TPU system.
IsTPUEmbeddingInitialized(Operation) - Constructor for class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized
IsTPUEmbeddingInitialized.Inputs - Class in org.tensorflow.op.tpu
IsTPUEmbeddingInitialized.Options - Class in org.tensorflow.op.tpu: Optional attributes for IsTPUEmbeddingInitialized
isTraining - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The isTraining attribute
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A bool value to indicate the operation is for training (default) or inference.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the isTraining option.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNorm: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNorm.Options: Sets the isTraining option.
isTraining(Boolean) - Static method in class org.tensorflow.op.nn.FusedBatchNormGrad: Sets the isTraining option.
isTraining(Boolean) - Method in class org.tensorflow.op.nn.FusedBatchNormGrad.Options: Sets the isTraining option.
isValidOpName(String) - Static method in interface org.tensorflow.op.Scope: Check whether name is a valid name for an operation.
isVariableInitialized(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Checks whether a tensor has been initialized.
IsVariableInitialized - Class in org.tensorflow.op.core: Checks whether a tensor has been initialized.
IsVariableInitialized(Operation) - Constructor for class org.tensorflow.op.core.IsVariableInitialized
IsVariableInitialized.Inputs - Class in org.tensorflow.op.core
item - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The item input
item() - Method in class org.tensorflow.op.core.TensorListGetItem: Gets item.
iterationCounter - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The iterationCounter input
iterator - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.data.MakeIterator.Inputs: The iterator input
iterator - Variable in class org.tensorflow.op.summary.StatsAggregatorSummary.Inputs: The iterator input
iterator() - Method in class org.tensorflow.op.core.BatchFunction
iterator() - Method in interface org.tensorflow.op.core.Case
iterator() - Method in class org.tensorflow.op.core.CompositeTensorVariantToComponents
iterator() - Method in class org.tensorflow.op.core.ConcatOffset
iterator() - Method in class org.tensorflow.op.core.DynamicPartition
iterator() - Method in class org.tensorflow.op.core.For
iterator() - Method in class org.tensorflow.op.core.GetElementAtIndex
iterator() - Method in class org.tensorflow.op.core.Gradients
iterator() - Method in class org.tensorflow.op.core.IdentityN
iterator() - Method in interface org.tensorflow.op.core.If
iterator() - Method in class org.tensorflow.op.core.MapDefun
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.MlirPassthroughOp
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.PartitionedCall
iterator() - Method in class org.tensorflow.op.core.RemoteCall
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.StatefulCase
iterator() - Method in class org.tensorflow.op.core.StatefulIf
iterator() - Method in class org.tensorflow.op.core.StatefulPartitionedCall
iterator() - Method in class org.tensorflow.op.core.StatefulWhile
iterator() - Method in class org.tensorflow.op.core.StatelessCase
iterator() - Method in class org.tensorflow.op.core.StatelessIf
iterator() - Method in class org.tensorflow.op.core.StatelessWhile
iterator() - Method in class org.tensorflow.op.core.Unstack
iterator() - Method in class org.tensorflow.op.core.Unstage
iterator() - Method in interface org.tensorflow.op.core.While
iterator() - Method in class org.tensorflow.op.data.DatasetToSingleElement
iterator() - Method in class org.tensorflow.op.data.IteratorGetNext
iterator() - Method in class org.tensorflow.op.data.IteratorGetNextSync
iterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
iterator() - Method in class org.tensorflow.op.data.OptionalGetValue
iterator() - Method in class org.tensorflow.op.data.ReduceDataset
iterator() - Method in class org.tensorflow.op.data.UncompressElement
iterator() - Method in class org.tensorflow.op.io.DecodeCsv
iterator() - Method in class org.tensorflow.op.io.QueueDequeue
iterator() - Method in class org.tensorflow.op.io.QueueDequeueMany
iterator() - Method in class org.tensorflow.op.io.QueueDequeueUpTo
iterator() - Method in class org.tensorflow.op.tpu.DTensorRestore
iterator() - Method in class org.tensorflow.op.tpu.Execute
iterator() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables
iterator() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple
iterator() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
iterator() - Method in class org.tensorflow.op.tpu.PartitionedCall
iterator() - Method in class org.tensorflow.op.tpu.PartitionedOutput
iterator() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
iterator() - Method in class org.tensorflow.op.tpu.ReplicatedOutput
iterator() - Method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape
iterator() - Method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape
iterator() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
iterator() - Method in class org.tensorflow.op.train.Restore
iterator() - Method in class org.tensorflow.op.train.SymbolicGradient
iterator() - Method in class org.tensorflow.op.xla.ReadVariableSplitND
iterator() - Method in class org.tensorflow.op.xla.SplitND
iterator() - Method in class org.tensorflow.op.xla.XlaHostCompute
iterator() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations
iterator() - Method in class org.tensorflow.Result
iterator(String, String, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The IteratorV2 operation
Iterator - Class in org.tensorflow.op.data: The IteratorV2 operation
Iterator(Operation) - Constructor for class org.tensorflow.op.data.Iterator
Iterator.Inputs - Class in org.tensorflow.op.data
iteratorFromStringHandle(Operand<TString>, List<Class<? extends TType>>, IteratorFromStringHandle.Options...) - Method in class org.tensorflow.op.DataOps: The IteratorFromStringHandleV2 operation
IteratorFromStringHandle - Class in org.tensorflow.op.data: The IteratorFromStringHandleV2 operation
IteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorFromStringHandle
IteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
IteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for IteratorFromStringHandle
iteratorGetDevice(Operand<? extends TType>) - Method in class org.tensorflow.op.DataExperimentalOps: Returns the name of the device on which resource has been placed.
iteratorGetDevice(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Returns the name of the device on which resource has been placed.
IteratorGetDevice - Class in org.tensorflow.op.data.experimental: Returns the name of the device on which resource has been placed.
IteratorGetDevice - Class in org.tensorflow.op.data: Returns the name of the device on which resource has been placed.
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.experimental.IteratorGetDevice
IteratorGetDevice(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetDevice
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data.experimental
IteratorGetDevice.Inputs - Class in org.tensorflow.op.data
iteratorGetNext(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator .
IteratorGetNext - Class in org.tensorflow.op.data: Gets the next output from the given iterator .
IteratorGetNext(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNext
IteratorGetNext.Inputs - Class in org.tensorflow.op.data
iteratorGetNextAsOptional(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional - Class in org.tensorflow.op.data: Gets the next output from the given iterator as an Optional variant.
IteratorGetNextAsOptional(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextAsOptional
IteratorGetNextAsOptional.Inputs - Class in org.tensorflow.op.data
iteratorGetNextSync(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets the next output from the given iterator.
IteratorGetNextSync - Class in org.tensorflow.op.data: Gets the next output from the given iterator.
IteratorGetNextSync(Operation) - Constructor for class org.tensorflow.op.data.IteratorGetNextSync
IteratorGetNextSync.Inputs - Class in org.tensorflow.op.data
iterators - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A list of iterator handles (unused).
iteratorToStringHandle(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a string.
IteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.IteratorToStringHandle
IteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
iterId() - Method in class org.tensorflow.op.tpu.GlobalIterId: Gets iterId.

J

job() - Method in class org.tensorflow.DeviceSpec
job(String) - Method in class org.tensorflow.DeviceSpec.Builder
jobName - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The jobName input
join() - Method in class org.tensorflow.Server: Blocks until the server has been successfully stopped.
join(Iterable<Operand<TString>>, Join.Options...) - Method in class org.tensorflow.op.StringsOps: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
Join - Class in org.tensorflow.op.strings: Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator).
Join(Operation) - Constructor for class org.tensorflow.op.strings.Join
Join.Inputs - Class in org.tensorflow.op.strings
Join.Options - Class in org.tensorflow.op.strings: Optional attributes for Join
jsonExamples - Variable in class org.tensorflow.op.io.DecodeJsonExample.Inputs: Each string is a JSON object serialized according to the JSON mapping of the Example proto.

K

k - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Specifies the number of min/max-k.
k - Variable in class org.tensorflow.op.core.KthOrderStatistic.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.core.TopKWithUnique.Inputs: The k attribute
k - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Number of nearest centers to return for each point.
k - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: Diagonal offset(s).
k - Variable in class org.tensorflow.op.nn.InTopK.Inputs: Number of top elements to look at for computing precision.
k - Variable in class org.tensorflow.op.nn.TopK.Inputs: 0-D.
keepDims - Variable in class org.tensorflow.op.core.All.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Any.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Max.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Min.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Prod.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.core.Sum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.math.Mean.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: If true, retain reduced dimensions with length 1.
keepDims - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: If True, retain reduced dimensions with length 1.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.All: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.All.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Any: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Any.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Max: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Max.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Min: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Min.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Prod: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Prod.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAll: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAll.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceAny: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceAny.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMax.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceMin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceMin.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceProd: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceProd.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.ReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.ReduceSum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.core.Sum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.core.Sum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.linalg.EuclideanNorm: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.linalg.EuclideanNorm.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.math.Mean: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.math.Mean.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMax: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMax.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSum: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSum.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse.Options: Sets the keepDims option.
keepDims(Boolean) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the keepDims option.
keepDims(Boolean) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the keepDims option.
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The kernelType attribute
kernelType - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The kernelType attribute
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslate: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslate.Options: Sets the kernelType option.
kernelType(String) - Static method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Sets the kernelType option.
kernelType(String) - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad.Options: Sets the kernelType option.
key - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: The name of the configuration option.
key - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.MapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The key input
key - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The key input
key - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: int64
key - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The key input
key - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The key input
key - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The key input
key - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: Key for the counter-based RNG algorithm (shape uint64[1]).
key - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The key used to seed the hash function, passed as a list of two uint64 elements.
key - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The key input
key - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The key input
key - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: A unique identifier for this region used to match up host transfers.
key - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The key attribute
key - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The key attribute
key() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets key.
key() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets key.
key() - Method in class org.tensorflow.op.io.ReaderRead: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: Gets key.
key() - Method in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: Gets key.
key() - Method in class org.tensorflow.Signature: Return the key of this signature
key(String) - Method in class org.tensorflow.Signature.Builder: Sets the unique key of this signature.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table keys.
keyDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapHasKey.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The keyDtype attribute
keyDtype - Variable in class org.tensorflow.op.core.TensorMapStackKeys.Inputs: The keyDtype attribute
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for key_func.
keyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The keyFuncOtherArguments input
keyIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index in a line to get the table key values from.
keys - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: A one-dimensional tensor of keys, with length n.
keys - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Keys of type Tkey.
keys - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Any shape.
keys - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Any shape.
keys() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets keys.
keys() - Method in class org.tensorflow.op.core.LookupTableExport: Gets keys.
keys() - Method in class org.tensorflow.op.core.TensorMapStackKeys: Gets keys.
keys() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets keys.
keySet() - Method in class org.tensorflow.Result: Gets the set containing all the tensor names.
kMC2ChainInitialization(Operand<TFloat32>, Operand<TInt64>) - Method in class org.tensorflow.op.ClusterOps: Returns the index of a data point that should be added to the seed set.
KMC2ChainInitialization - Class in org.tensorflow.op.cluster: Returns the index of a data point that should be added to the seed set.
KMC2ChainInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KMC2ChainInitialization
KMC2ChainInitialization.Inputs - Class in org.tensorflow.op.cluster
kmeansPlusPlusInitialization(Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.ClusterOps: Selects num_to_sample rows of input using the KMeans++ criterion.
KmeansPlusPlusInitialization - Class in org.tensorflow.op.cluster: Selects num_to_sample rows of input using the KMeans++ criterion.
KmeansPlusPlusInitialization(Operation) - Constructor for class org.tensorflow.op.cluster.KmeansPlusPlusInitialization
KmeansPlusPlusInitialization.Inputs - Class in org.tensorflow.op.cluster
ksize - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The size of the sliding window for each dimension of value.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The size of the sliding window for each dimension of the input.
ksize - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The size of the window for each dimension of the input tensor.
ksize - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The size of the window for each dimension of the input tensor.
ksizes - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The size of the sliding window for each dimension of input.
ksizes - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The size of the sliding window for each dimension of images.
kthOrderStatistic(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Computes the Kth order statistic of a data set.
KthOrderStatistic - Class in org.tensorflow.op.core: Computes the Kth order statistic of a data set.
KthOrderStatistic(Operation) - Constructor for class org.tensorflow.op.core.KthOrderStatistic
KthOrderStatistic.Inputs - Class in org.tensorflow.op.core

L

l - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The l input
l - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: Output of batch Cholesky algorithm l = cholesky(A).
l1 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l1 regularization strength.
l1 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L1 regularization.
l1 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L1 regularization.
l1RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The l1RegularizationStrength attribute
l1RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The l1RegularizationStrength attribute
l2 - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: Symmetric l2 regularization strength.
l2 - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: L2 shrinkage regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: L2 regularization.
l2 - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: L2 regularization.
l2Loss(Operand<T>) - Method in class org.tensorflow.op.NnOps: L2 Loss.
L2Loss<T extends TNumber> - Class in org.tensorflow.op.nn: L2 Loss.
L2Loss(Operation) - Constructor for class org.tensorflow.op.nn.L2Loss
L2Loss.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
l2RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The l2RegularizationStrength input
l2RegularizationStrength - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The l2RegularizationStrength attribute
l2Regularizer - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The l2Regularizer input
l2Regularizer - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Scalar tensor.
l2Shrinkage - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The l2Shrinkage input
l2Shrinkage - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The l2Shrinkage input
labels - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: batch_size x num_classes matrix The caller must ensure that each batch of labels represents a valid probability distribution.
labels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: batch_size vector with values in [0, num_classes).
labels - Variable in class org.tensorflow.op.train.NegTrain.Inputs: A vector of word ids.
labels() - Method in class org.tensorflow.op.core.Skipgram: Gets labels.
labelsIndices - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The indices of a SparseTensor<int32, 2>.
labelsIndices - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The indices of a SparseTensor<int32, 2>.
labelsValues - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The values (labels) associated with the given batch and time.
labelsValues - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: The values (labels) associated with the given batch and time.
lam - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The rate of the Poisson distribution.
lastHitStep - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of last_hit_step used in the frequency estimator optimization algorithm.
lastHitStep() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets lastHitStep.
latencyStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Records the latency of producing input_dataset elements in a StatsAggregator.
latencyStatsDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset - Class in org.tensorflow.op.data.experimental: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset - Class in org.tensorflow.op.data: Records the latency of producing input_dataset elements in a StatsAggregator.
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LatencyStatsDataset
LatencyStatsDataset(Operation) - Constructor for class org.tensorflow.op.data.LatencyStatsDataset
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data.experimental
LatencyStatsDataset.Inputs - Class in org.tensorflow.op.data
layout - Variable in class org.tensorflow.op.core.Relayout.Inputs: The layout attribute
layout - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: A vector holding the requested layout in minor-to-major sequence.
layout(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout(Long...) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(Long...) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
layout(List<Long>) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the layout option.
layout(List<Long>) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the layout option.
layout(List<Long>) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the layout option.
layout(List<Long>) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the layout option.
layoutInput - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The layoutInput input
layouts - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the "shapes" input.
layouts - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: A vector holding the requested layout in minor-to-major sequence for all the tuple shapes in the order the shapes appear in the "shapes" input.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts(Long...) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(Long...) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
layouts(List<Long>) - Static method in class org.tensorflow.op.tpu.InfeedEnqueueTuple: Sets the layouts option.
layouts(List<Long>) - Method in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Options: Sets the layouts option.
layouts(List<Long>) - Static method in class org.tensorflow.op.tpu.PrelinearizeTuple: Sets the layouts option.
layouts(List<Long>) - Method in class org.tensorflow.op.tpu.PrelinearizeTuple.Options: Sets the layouts option.
leadingDims - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The leadingDims input
leakyRelu(Operand<T>, LeakyRelu.Options...) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, features * alpha).
LeakyRelu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, features * alpha).
LeakyRelu(Operation) - Constructor for class org.tensorflow.op.nn.LeakyRelu
LeakyRelu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LeakyRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for LeakyRelu
leakyReluGrad(Operand<T>, Operand<T>, LeakyReluGrad.Options...) - Method in class org.tensorflow.op.DataOps: Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad<T extends TNumber> - Class in org.tensorflow.op.data: Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad(Operation) - Constructor for class org.tensorflow.op.data.LeakyReluGrad
LeakyReluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.data
LeakyReluGrad.Options - Class in org.tensorflow.op.data: Optional attributes for LeakyReluGrad
learnedUnigramCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, LearnedUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.NnOps: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler - Class in org.tensorflow.op.nn: Generates labels for candidate sampling with a learned unigram distribution.
LearnedUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.nn.LearnedUnigramCandidateSampler
LearnedUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.nn
LearnedUnigramCandidateSampler.Options - Class in org.tensorflow.op.nn: Optional attributes for LearnedUnigramCandidateSampler
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreSgd.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The learningRate input
learningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The learningRate input
learningRatePower - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The learningRatePower input
learningRatePower - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The learningRatePower attribute
learningRates - Variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Inputs: A TensorList of float32 scalars, one for each dynamic learning rate tag: see the comments in //third_party/tensorflow/core/protobuf/tpu/optimization_parameters.proto.
learningRates - Variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Inputs: A TensorList of learning rates used for updating the embedding tables via the optimizer.
leftPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the left side of the ngram sequence.
leftShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise left-shift of x and y.
LeftShift<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise left-shift of x and y.
LeftShift(Operation) - Constructor for class org.tensorflow.op.bitwise.LeftShift
LeftShift.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
legacyAutotune - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The legacyAutotune attribute
legacyAutotune(Boolean) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the legacyAutotune option.
legacyAutotune(Boolean) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the legacyAutotune option.
legacyParallelInterleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, LegacyParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
LegacyParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.LegacyParallelInterleaveDataset
LegacyParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
LegacyParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LegacyParallelInterleaveDataset
len - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the number of characters to include in each substring
length() - Method in class org.tensorflow.op.core.TensorListLength: Gets length.
lengths - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The vector of lengths, how to split the rows of value into the TensorArray.
lengths - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The lengths input
lengths() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets lengths.
lengths() - Method in class org.tensorflow.op.core.TensorListConcat: Gets lengths.
less(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x < y) element-wise.
Less - Class in org.tensorflow.op.math: Returns the truth value of (x < y) element-wise.
Less(Operation) - Constructor for class org.tensorflow.op.math.Less
Less.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
lessEqual(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x <= y) element-wise.
LessEqual - Class in org.tensorflow.op.math: Returns the truth value of (x <= y) element-wise.
LessEqual(Operation) - Constructor for class org.tensorflow.op.math.LessEqual
LessEqual.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
lgamma(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma<T extends TNumber> - Class in org.tensorflow.op.math: Computes the log of the absolute value of Gamma(x) element-wise.
Lgamma(Operation) - Constructor for class org.tensorflow.op.math.Lgamma
Lgamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
lhs - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Must be a quantized tensor.
lhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Must be a quantized tensor, rank >= 3.
lhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Must be a non-quantized Tensor of Tlhs, rank >= 3.
lhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Must be a 2D Tensor of Tin.
lhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Must be a 2D Tensor of Tlhs.
lhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The dilation factor to apply in each spatial dimension of lhs.
lhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The dilation factor to apply in each spatial dimension of lhs.
lhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsDilation option.
lhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsDilation option.
lhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the lhsDilation option.
lhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the lhsDilation option.
lhsDilation(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsDilation option.
lhsDilation(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsDilation option.
lhsDilation(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the lhsDilation option.
lhsDilation(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the lhsDilation option.
lhsQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the lhsQuantizationAxis option.
lhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the lhsQuantizationAxis option.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in lhs.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in lhs.
lhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in rhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in lhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in lhs.
lhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in lhs.
lhsScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) used as scale factors when quantizing the original data that lhs represents.
lhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) used as scale factors when quantizing the original data that lhs represents.
lhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) used as scale when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that lhs represents.
lhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that lhs represents.
limit - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limit - Variable in class org.tensorflow.op.core.For.Inputs: The upper bound.
limit - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
limit - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: If incrementing ref would bring it above limit, instead generates an 'OutOfRange' error.
limits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The limits of each range.
linalg - Variable in class org.tensorflow.op.Ops
LinalgOps - Class in org.tensorflow.op: An API for building linalg operations as Ops
LinalgSparseOps - Class in org.tensorflow.op: An API for building linalg.sparse operations as Ops
linear - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
linear - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The linear input
linear - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The linear input
linears - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of linears used in the FTRL optimization algorithm.
linears() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets linears.
linSpace(Operand<T>, Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Generates values in an interval.
LinSpace<T extends TNumber> - Class in org.tensorflow.op.core: Generates values in an interval.
LinSpace(Operation) - Constructor for class org.tensorflow.op.core.LinSpace
LinSpace.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
listDataset(Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ListDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits each of tensors once.
ListDataset - Class in org.tensorflow.op.data: Creates a dataset that emits each of tensors once.
ListDataset(Operation) - Constructor for class org.tensorflow.op.data.ListDataset
ListDataset.Inputs - Class in org.tensorflow.op.data
ListDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ListDataset
listSize - Variable in class org.tensorflow.op.AttributeMetadata: The size of the list if this attribute is a list, undefined otherwise.
listSnapshotChunksDataset(Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The ListSnapshotChunksDataset operation
ListSnapshotChunksDataset - Class in org.tensorflow.op.data: The ListSnapshotChunksDataset operation
ListSnapshotChunksDataset(Operation) - Constructor for class org.tensorflow.op.data.ListSnapshotChunksDataset
ListSnapshotChunksDataset.Inputs - Class in org.tensorflow.op.data
littleEndian - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: Whether the input input_bytes is in little-endian order.
littleEndian - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: Whether the input bytes are in little-endian order.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodePaddedRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodePaddedRaw.Options: Sets the littleEndian option.
littleEndian(Boolean) - Static method in class org.tensorflow.op.io.DecodeRaw: Sets the littleEndian option.
littleEndian(Boolean) - Method in class org.tensorflow.op.io.DecodeRaw.Options: Sets the littleEndian option.
lmdbDataset(Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalLMDBDataset operation
lMDBDataset(Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LmdbDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalLMDBDataset operation
LmdbDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.LmdbDataset
LMDBDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the key-value pairs in one or more LMDB files.
LMDBDataset(Operation) - Constructor for class org.tensorflow.op.data.LMDBDataset
LmdbDataset.Inputs - Class in org.tensorflow.op.data.experimental
LMDBDataset.Inputs - Class in org.tensorflow.op.data
lmdbReader(LmdbReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a LMDB file.
LmdbReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a LMDB file.
LmdbReader(Operation) - Constructor for class org.tensorflow.op.io.LmdbReader
LmdbReader.Inputs - Class in org.tensorflow.op.io
LmdbReader.Options - Class in org.tensorflow.op.io: Optional attributes for LmdbReader
load() - Method in class org.tensorflow.SavedModelBundle.Loader: Load a SavedModelBundle with the configured options.
load(String, String...) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model from an export directory.
loadAllTPUEmbeddingParameters(Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, String, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op that loads optimization parameters into embedding memory.
LoadAllTPUEmbeddingParameters - Class in org.tensorflow.op.tpu: An op that loads optimization parameters into embedding memory.
LoadAllTPUEmbeddingParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters
LoadAllTPUEmbeddingParameters.Inputs - Class in org.tensorflow.op.tpu
loadAndRemapMatrix(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<TFloat32>, Long, Long, LoadAndRemapMatrix.Options...) - Method in class org.tensorflow.op.LinalgOps: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix - Class in org.tensorflow.op.linalg: Loads a 2-D (matrix) Tensor with name old_tensor_name from the checkpoint at ckpt_path and potentially reorders its rows and columns using the specified remappings.
LoadAndRemapMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.LoadAndRemapMatrix
LoadAndRemapMatrix.Inputs - Class in org.tensorflow.op.linalg
LoadAndRemapMatrix.Options - Class in org.tensorflow.op.linalg: Optional attributes for LoadAndRemapMatrix
loadDataset(Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, LoadDataset.Options...) - Method in class org.tensorflow.op.DataOps: The LoadDataset operation
LoadDataset - Class in org.tensorflow.op.data: The LoadDataset operation
LoadDataset(Operation) - Constructor for class org.tensorflow.op.data.LoadDataset
LoadDataset.Inputs - Class in org.tensorflow.op.data
LoadDataset.Options - Class in org.tensorflow.op.data: Optional attributes for LoadDataset
loader(String) - Static method in class org.tensorflow.SavedModelBundle: Load a saved model.
loadLibrary(String) - Static method in class org.tensorflow.TensorFlow: Load the dynamic library in filename and register the operations and kernels present in that library.
loadTPUEmbeddingAdadeltaParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdadeltaParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adadelta embedding parameters.
LoadTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Load Adadelta embedding parameters.
LoadTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters
LoadTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdadeltaParameters
loadTPUEmbeddingAdagradMomentumParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adagrad Momentum embedding parameters.
LoadTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Load Adagrad Momentum embedding parameters.
LoadTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters
LoadTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradMomentumParameters
loadTPUEmbeddingAdagradParameters(Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Adagrad embedding parameters.
LoadTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Load Adagrad embedding parameters.
LoadTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters
LoadTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingAdagradParameters
loadTPUEmbeddingADAMParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingADAMParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load ADAM embedding parameters.
LoadTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Load ADAM embedding parameters.
LoadTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters
LoadTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingADAMParameters
loadTPUEmbeddingCenteredRMSPropParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingCenteredRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load centered RMSProp embedding parameters.
LoadTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Load centered RMSProp embedding parameters.
LoadTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters
LoadTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingCenteredRMSPropParameters
loadTPUEmbeddingFrequencyEstimatorParameters(Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFrequencyEstimatorParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load frequency estimator embedding parameters.
LoadTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Load frequency estimator embedding parameters.
LoadTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters
LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFrequencyEstimatorParameters
loadTPUEmbeddingFTRLParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingFTRLParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load FTRL embedding parameters.
LoadTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Load FTRL embedding parameters.
LoadTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters
LoadTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingFTRLParameters
loadTPUEmbeddingMDLAdagradLightParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMDLAdagradLightParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load MDL Adagrad Light embedding parameters.
LoadTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Load MDL Adagrad Light embedding parameters.
LoadTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters
LoadTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMDLAdagradLightParameters
loadTPUEmbeddingMomentumParameters(Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load Momentum embedding parameters.
LoadTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Load Momentum embedding parameters.
LoadTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters
LoadTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingMomentumParameters
loadTPUEmbeddingProximalAdagradParameters(Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load proximal Adagrad embedding parameters.
LoadTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Load proximal Adagrad embedding parameters.
LoadTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters
LoadTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalAdagradParameters
loadTPUEmbeddingProximalYogiParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingProximalYogiParameters.Options...) - Method in class org.tensorflow.op.TpuOps: The LoadTPUEmbeddingProximalYogiParameters operation
LoadTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The LoadTPUEmbeddingProximalYogiParameters operation
LoadTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters
LoadTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingProximalYogiParameters
loadTPUEmbeddingRMSPropParameters(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Long, LoadTPUEmbeddingRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load RMSProp embedding parameters.
LoadTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Load RMSProp embedding parameters.
LoadTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters
LoadTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingRMSPropParameters
loadTPUEmbeddingStochasticGradientDescentParameters(Operand<TFloat32>, Long, Long, LoadTPUEmbeddingStochasticGradientDescentParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Load SGD embedding parameters.
LoadTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Load SGD embedding parameters.
LoadTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters
LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
LoadTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for LoadTPUEmbeddingStochasticGradientDescentParameters
localResponseNormalization(Operand<T>, LocalResponseNormalization.Options...) - Method in class org.tensorflow.op.NnOps: Local Response Normalization.
LocalResponseNormalization<T extends TNumber> - Class in org.tensorflow.op.nn: Local Response Normalization.
LocalResponseNormalization(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalization
LocalResponseNormalization.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LocalResponseNormalization.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalization
localResponseNormalizationGrad(Operand<T>, Operand<T>, Operand<T>, LocalResponseNormalizationGrad.Options...) - Method in class org.tensorflow.op.NnOps: Gradients for Local Response Normalization.
LocalResponseNormalizationGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Gradients for Local Response Normalization.
LocalResponseNormalizationGrad(Operation) - Constructor for class org.tensorflow.op.nn.LocalResponseNormalizationGrad
LocalResponseNormalizationGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LocalResponseNormalizationGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for LocalResponseNormalizationGrad
localStep - Variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient.Inputs: The local_step value at which the sparse gradient was computed.
localStep - Variable in class org.tensorflow.op.train.AccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
localStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient.Inputs: The local_step value at which the gradient was computed.
log(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of x element-wise.
Log<T extends TType> - Class in org.tensorflow.op.math: Computes natural logarithm of x element-wise.
Log(Operation) - Constructor for class org.tensorflow.op.math.Log
Log.Inputs<T extends TType> - Class in org.tensorflow.op.math
log1p(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes natural logarithm of (1 + x) element-wise.
Log1p<T extends TType> - Class in org.tensorflow.op.math: Computes natural logarithm of (1 + x) element-wise.
Log1p(Operation) - Constructor for class org.tensorflow.op.math.Log1p
Log1p.Inputs<T extends TType> - Class in org.tensorflow.op.math
logAbsDeterminant() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets logAbsDeterminant.
logbase - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
logbase - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
logdir - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The logdir input
logicalAnd(Operand<TBool>, Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x AND y element-wise.
LogicalAnd - Class in org.tensorflow.op.math: Returns the truth value of x AND y element-wise.
LogicalAnd(Operation) - Constructor for class org.tensorflow.op.math.LogicalAnd
LogicalAnd.Inputs - Class in org.tensorflow.op.math
logicalNot(Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of NOT x element-wise.
LogicalNot - Class in org.tensorflow.op.math: Returns the truth value of NOT x element-wise.
LogicalNot(Operation) - Constructor for class org.tensorflow.op.math.LogicalNot
LogicalNot.Inputs - Class in org.tensorflow.op.math
logicalOr(Operand<TBool>, Operand<TBool>) - Method in class org.tensorflow.op.MathOps: Returns the truth value of x OR y element-wise.
LogicalOr - Class in org.tensorflow.op.math: Returns the truth value of x OR y element-wise.
LogicalOr(Operation) - Constructor for class org.tensorflow.op.math.LogicalOr
LogicalOr.Inputs - Class in org.tensorflow.op.math
logits - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: A CSRSparseMatrix.
logits - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.nn.Softmax.Inputs: 2-D with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logits - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2-D Tensor with shape [batch_size, num_classes].
logMatrixDeterminant(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant<T extends TType> - Class in org.tensorflow.op.linalg: Computes the sign and the log of the absolute value of the determinant of one or more square matrices.
LogMatrixDeterminant(Operation) - Constructor for class org.tensorflow.op.linalg.LogMatrixDeterminant
LogMatrixDeterminant.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
logProbability() - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Gets logProbability.
logProbability() - Method in class org.tensorflow.op.nn.CtcGreedyDecoder: Gets logProbability.
logsoftmax() - Method in class org.tensorflow.op.nn.LogSoftmax: Gets logsoftmax.
logSoftmax(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes log softmax activations.
LogSoftmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes log softmax activations.
LogSoftmax(Operation) - Constructor for class org.tensorflow.op.nn.LogSoftmax
LogSoftmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
logUniformCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, LogUniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.LogUniformCandidateSampler
LogUniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
LogUniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for LogUniformCandidateSampler
logWarning - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The logWarning attribute
logWarning(Boolean) - Static method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Options: Sets the logWarning option.
logWarning(Boolean) - Static method in class org.tensorflow.op.data.IgnoreErrorsDataset: Sets the logWarning option.
logWarning(Boolean) - Method in class org.tensorflow.op.data.IgnoreErrorsDataset.Options: Sets the logWarning option.
lookupId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: Identifier of the set of embedding indices which produced these activations.
lookupId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

Identifier of the set of embedding indices which produced these activations.
lookupTableExport(Operand<? extends TType>, Class<T>, Class) - Method in class org.tensorflow.op.Ops: Outputs all keys and values in the table.
LookupTableExport<T extends TType,U extends TType> - Class in org.tensorflow.op.core: Outputs all keys and values in the table.
LookupTableExport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableExport
LookupTableExport.Inputs - Class in org.tensorflow.op.core
lookupTableFind(Operand<? extends TType>, Operand<? extends TType>, Operand) - Method in class org.tensorflow.op.Ops: Looks up keys in a table, outputs the corresponding values.
LookupTableFind - Class in org.tensorflow.op.core: Looks up keys in a table, outputs the corresponding values.
LookupTableFind(Operation) - Constructor for class org.tensorflow.op.core.LookupTableFind
LookupTableFind.Inputs - Class in org.tensorflow.op.core
lookupTableImport(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Replaces the contents of the table with the specified keys and values.
LookupTableImport - Class in org.tensorflow.op.core: Replaces the contents of the table with the specified keys and values.
LookupTableImport(Operation) - Constructor for class org.tensorflow.op.core.LookupTableImport
LookupTableImport.Inputs - Class in org.tensorflow.op.core
lookupTableInsert(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Updates the table to associates keys with values.
LookupTableInsert - Class in org.tensorflow.op.core: Updates the table to associates keys with values.
LookupTableInsert(Operation) - Constructor for class org.tensorflow.op.core.LookupTableInsert
LookupTableInsert.Inputs - Class in org.tensorflow.op.core
lookupTableRemove(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Removes keys and its associated values from a table.
LookupTableRemove - Class in org.tensorflow.op.core: Removes keys and its associated values from a table.
LookupTableRemove(Operation) - Constructor for class org.tensorflow.op.core.LookupTableRemove
LookupTableRemove.Inputs - Class in org.tensorflow.op.core
lookupTableSize(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Computes the number of elements in the given table.
LookupTableSize - Class in org.tensorflow.op.core: Computes the number of elements in the given table.
LookupTableSize(Operation) - Constructor for class org.tensorflow.op.core.LookupTableSize
LookupTableSize.Inputs - Class in org.tensorflow.op.core
loopCond(Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards the input to the output.
LoopCond - Class in org.tensorflow.op.core: Forwards the input to the output.
LoopCond(Operation) - Constructor for class org.tensorflow.op.core.LoopCond
LoopCond.Inputs - Class in org.tensorflow.op.core
loss() - Method in class org.tensorflow.op.nn.CtcLoss: Gets loss.
loss() - Method in class org.tensorflow.op.nn.CTCLossV2: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: Gets loss.
loss() - Method in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: Gets loss.
lossType - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Type of the primal loss.
lower - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The lower attribute
lower - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The lower attribute
lower - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Boolean indicating whether the innermost matrices in matrix are lower or upper triangular.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BandedTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BandedTriangularSolve.Options: Sets the lower option.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Options: Sets the lower option.
lower(Boolean) - Static method in class org.tensorflow.op.linalg.TriangularSolve: Sets the lower option.
lower(Boolean) - Method in class org.tensorflow.op.linalg.TriangularSolve.Options: Sets the lower option.
lower(Operand<TString>, Lower.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all uppercase characters into their respective lowercase replacements.
Lower - Class in org.tensorflow.op.strings: Converts all uppercase characters into their respective lowercase replacements.
Lower(Operation) - Constructor for class org.tensorflow.op.strings.Lower
Lower.Inputs - Class in org.tensorflow.op.strings
Lower.Options - Class in org.tensorflow.op.strings: Optional attributes for Lower
lowerBound(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Applies lower_bound(sorted_search_values, values) along each row.
lowerBound(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.Ops: Applies lower_bound(sorted_search_values, values) along each row.
LowerBound - Class in org.tensorflow.op.core: Applies lower_bound(sorted_search_values, values) along each row.
LowerBound(Operation) - Constructor for class org.tensorflow.op.core.LowerBound
LowerBound.Inputs<T extends TType> - Class in org.tensorflow.op.core
lowerFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The lowest frequency to use when calculating the ceptstrum.
lowerFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the lowerFrequencyLimit option.
lowerFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the lowerFrequencyLimit option.
lowPriorityAllowedBatchSizes - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityAllowedBatchSizes attribute
lowPriorityAllowedBatchSizes(Long...) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(Long...) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(List<Long>) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityAllowedBatchSizes(List<Long>) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityAllowedBatchSizes option.
lowPriorityBatchTimeoutMicros - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityBatchTimeoutMicros attribute
lowPriorityBatchTimeoutMicros(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityBatchTimeoutMicros option.
lowPriorityBatchTimeoutMicros(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityBatchTimeoutMicros option.
lowPriorityMaxBatchSize - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityMaxBatchSize attribute
lowPriorityMaxBatchSize(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityMaxBatchSize option.
lowPriorityMaxBatchSize(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityMaxBatchSize option.
lowPriorityMaxEnqueuedBatches - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: The lowPriorityMaxEnqueuedBatches attribute
lowPriorityMaxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the lowPriorityMaxEnqueuedBatches option.
lowPriorityMaxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the lowPriorityMaxEnqueuedBatches option.
lr - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.NegTrain.Inputs: The lr input
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
lr - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Learning rate.
lr - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Scaling factor.
lrPower - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Scaling factor.
lSTMBlockCell(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, LSTMBlockCell.Options...) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell forward propagation for 1 time step.
LSTMBlockCell<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell forward propagation for 1 time step.
LSTMBlockCell(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCell
LSTMBlockCell.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
LSTMBlockCell.Options - Class in org.tensorflow.op.nn: Optional attributes for LSTMBlockCell
lSTMBlockCellGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Boolean) - Method in class org.tensorflow.op.NnOps: Computes the LSTM cell backward propagation for 1 timestep.
LSTMBlockCellGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes the LSTM cell backward propagation for 1 timestep.
LSTMBlockCellGrad(Operation) - Constructor for class org.tensorflow.op.nn.LSTMBlockCellGrad
LSTMBlockCellGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
lu() - Method in class org.tensorflow.op.linalg.Lu: Gets lu.
lu(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
lu(Operand<T>, Class) - Method in class org.tensorflow.op.LinalgOps: Computes the LU decomposition of one or more square matrices.
Lu<T extends TType,U extends TNumber> - Class in org.tensorflow.op.linalg: Computes the LU decomposition of one or more square matrices.
Lu(Operation) - Constructor for class org.tensorflow.op.linalg.Lu
Lu.Inputs<T extends TType> - Class in org.tensorflow.op.linalg

M

m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D mean Tensor with size matching the last dimension of t.
m - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The m input
m - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
m - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
m() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets m.
magnitudeSquared - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: Whether to return the squared magnitude or just the magnitude.
magnitudeSquared(Boolean) - Static method in class org.tensorflow.op.audio.AudioSpectrogram: Sets the magnitudeSquared option.
magnitudeSquared(Boolean) - Method in class org.tensorflow.op.audio.AudioSpectrogram.Options: Sets the magnitudeSquared option.
maindiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing main diagonals of tri-diagonal matrices to the left of multiplication.
makeIterator(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator - Class in org.tensorflow.op.data: Makes a new iterator from the given dataset and stores it in iterator.
MakeIterator(Operation) - Constructor for class org.tensorflow.op.data.MakeIterator
MakeIterator.Inputs - Class in org.tensorflow.op.data
makeOpName(String) - Method in class org.tensorflow.op.NativeScope
makeOpName(String) - Method in class org.tensorflow.op.OpScope
makeOpName(String) - Method in interface org.tensorflow.op.Scope: Create a unique name for an operator and reserves it, using a provided default if necessary.
makeUnique(String) - Method in class org.tensorflow.op.NativeScope
makeUnique(String) - Method in class org.tensorflow.op.OpScope
makeUnique(String) - Method in interface org.tensorflow.op.Scope: Makes a unique name from id and reserves it.
makeUnique(Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
MakeUnique - Class in org.tensorflow.op.core: Make all elements in the non-Batch dimension unique, but "close" to their initial value.
MakeUnique(Operation) - Constructor for class org.tensorflow.op.core.MakeUnique
MakeUnique.Inputs - Class in org.tensorflow.op.core
mapAndBatchDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that fuses mapping with batching.
mapAndBatchDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapAndBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that fuses mapping with batching.
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapAndBatchDataset
MapAndBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.MapAndBatchDataset
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapAndBatchDataset.Inputs - Class in org.tensorflow.op.data
MapAndBatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapAndBatchDataset
MapAndBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapAndBatchDataset
mapClear(List<Class<? extends TType>>, MapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
MapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
MapClear(Operation) - Constructor for class org.tensorflow.op.core.MapClear
MapClear.Inputs - Class in org.tensorflow.op.core
MapClear.Options - Class in org.tensorflow.op.core: Optional attributes for MapClear
mapDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that applies f to the outputs of input_dataset.
mapDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, MapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MapDataset
MapDataset(Operation) - Constructor for class org.tensorflow.op.data.MapDataset
MapDataset.Inputs - Class in org.tensorflow.op.data.experimental
MapDataset.Inputs - Class in org.tensorflow.op.data
MapDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for MapDataset
MapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for MapDataset
mapDefun(Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, MapDefun.Options...) - Method in class org.tensorflow.op.Ops: Maps a function on the list of tensors unpacked from arguments on dimension 0.
MapDefun - Class in org.tensorflow.op.core: Maps a function on the list of tensors unpacked from arguments on dimension 0.
MapDefun(Operation) - Constructor for class org.tensorflow.op.core.MapDefun
MapDefun.Inputs - Class in org.tensorflow.op.core
MapDefun.Options - Class in org.tensorflow.op.core: Optional attributes for MapDefun
mapDense(RawTensor) - Method in class org.tensorflow.TensorMapper: Maps the provided dense raw tensor as a tensor of type T.
mapIncompleteSize(List<Class<? extends TType>>, MapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.MapIncompleteSize
MapIncompleteSize.Inputs - Class in org.tensorflow.op.core
MapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapIncompleteSize
mapPeek(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
MapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
MapPeek(Operation) - Constructor for class org.tensorflow.op.core.MapPeek
MapPeek.Inputs - Class in org.tensorflow.op.core
MapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for MapPeek
mapperClass() - Element in annotation type org.tensorflow.types.annotation.TensorType: The class of the TensorMapper to allocate and use for mapping tensors of this type
mapSize(List<Class<? extends TType>>, MapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
MapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
MapSize(Operation) - Constructor for class org.tensorflow.op.core.MapSize
MapSize.Inputs - Class in org.tensorflow.op.core
MapSize.Options - Class in org.tensorflow.op.core: Optional attributes for MapSize
mapSparse(TInt64, T, TInt64, PointerScope) - Method in class org.tensorflow.TensorMapper: Maps the provided dense tensors as a sparse tensor of type T.
mapStage(Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, MapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage(Operation) - Constructor for class org.tensorflow.op.core.MapStage
MapStage.Inputs - Class in org.tensorflow.op.core
MapStage.Options - Class in org.tensorflow.op.core: Optional attributes for MapStage
mapUnstage(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, MapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
MapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
MapUnstage(Operation) - Constructor for class org.tensorflow.op.core.MapUnstage
MapUnstage.Inputs - Class in org.tensorflow.op.core
MapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstage
mapUnstageNoKey(Operand<TInt32>, List<Class<? extends TType>>, MapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.MapUnstageNoKey
MapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
MapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for MapUnstageNoKey
matchingFiles(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Returns the set of files matching one or more glob patterns.
MatchingFiles - Class in org.tensorflow.op.io: Returns the set of files matching one or more glob patterns.
MatchingFiles(Operation) - Constructor for class org.tensorflow.op.io.MatchingFiles
MatchingFiles.Inputs - Class in org.tensorflow.op.io
matchingFilesDataset(Operand<TString>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalMatchingFilesDataset operation
matchingFilesDataset(Operand<TString>) - Method in class org.tensorflow.op.DataOps: The MatchingFilesDataset operation
MatchingFilesDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalMatchingFilesDataset operation
MatchingFilesDataset - Class in org.tensorflow.op.data: The MatchingFilesDataset operation
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MatchingFilesDataset
MatchingFilesDataset(Operation) - Constructor for class org.tensorflow.op.data.MatchingFilesDataset
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data.experimental
MatchingFilesDataset.Inputs - Class in org.tensorflow.op.data
math - Variable in class org.tensorflow.op.Ops
MathOps - Class in org.tensorflow.op: An API for building math operations as Ops
MathSpecialOps - Class in org.tensorflow.op: An API for building math.special operations as Ops
matMul(Operand<T>, Operand<T>, MatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Multiply the matrix "a" by the matrix "b".
MatMul<T extends TType> - Class in org.tensorflow.op.linalg: Multiply the matrix "a" by the matrix "b".
MatMul(Operation) - Constructor for class org.tensorflow.op.linalg.MatMul
MatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatMul
matrix - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The matrix input
matrix - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, N].
matrix - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, M].
matrix - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, M].
matrixDiag(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiag
MatrixDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
matrixDiagPart(Operand<T>, Operand<TInt32>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPart
MatrixDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
matrixDiagPartV3(Operand<T>, Operand<TInt32>, Operand<T>, MatrixDiagPartV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3<T extends TType> - Class in org.tensorflow.op.linalg: Returns the batched diagonal part of a batched tensor.
MatrixDiagPartV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagPartV3
MatrixDiagPartV3.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagPartV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagPartV3
matrixDiagV3(Operand<T>, Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<T>, MatrixDiagV3.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched diagonal tensor with given batched diagonal values.
MatrixDiagV3(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixDiagV3
MatrixDiagV3.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixDiagV3.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixDiagV3
matrixExponential(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Deprecated, use python implementation tf.linalg.matrix_exponential.
MatrixExponential<T extends TType> - Class in org.tensorflow.op.linalg: Deprecated, use python implementation tf.linalg.matrix_exponential.
MatrixExponential(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixExponential
MatrixExponential.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
matrixLogarithm(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
MatrixLogarithm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the matrix logarithm of one or more square matrices: \(log(exp(A)) = A\)
MatrixLogarithm(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixLogarithm
MatrixLogarithm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
matrixSetDiag(Operand<T>, Operand<T>, Operand<TInt32>, MatrixSetDiag.Options...) - Method in class org.tensorflow.op.LinalgOps: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a batched matrix tensor with new batched diagonal values.
MatrixSetDiag(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSetDiag
MatrixSetDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixSetDiag.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSetDiag
matrixSolveLs(Operand<T>, Operand<T>, Operand<TFloat64>, MatrixSolveLs.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves one or more linear least-squares problems.
MatrixSolveLs<T extends TType> - Class in org.tensorflow.op.linalg: Solves one or more linear least-squares problems.
MatrixSolveLs(Operation) - Constructor for class org.tensorflow.op.linalg.MatrixSolveLs
MatrixSolveLs.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
MatrixSolveLs.Options - Class in org.tensorflow.op.linalg: Optional attributes for MatrixSolveLs
max - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The min value(s) to clip operand.
max - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The max attribute
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The max attribute
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The max input
max - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The max input
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the max option.
max(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the max option.
max(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the max option.
max(Operand<T>, Operand<? extends TNumber>, Max.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
Max<T extends TNumber> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
Max(Operation) - Constructor for class org.tensorflow.op.core.Max
Max.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
Max.Options - Class in org.tensorflow.op.core: Optional attributes for Max
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized a value represents.
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxA input
maxA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxA input
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets maxActivations.
maxActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets maxActivations.
maxAttempts - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Number of attempts at generating a cropped region of the image of the specified constraints.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxAttempts(Long) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the maxAttempts option.
maxAttempts(Long) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the maxAttempts option.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized b value represents.
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxB input
maxB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxB input
maxBatchSize - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxBatchSize attribute
maxBatchSize - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Batch sizes will never be bigger than this.
maxBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized bias value represents.
maxBufferSize - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: The maximum size of the host side per device buffer to keep.
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.Batch.Inputs: The maxEnqueuedBatches attribute
maxEnqueuedBatches - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Maximum number of batches enqueued.
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.Batch: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.Batch.Options: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the maxEnqueuedBatches option.
maxEnqueuedBatches(Long) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the maxEnqueuedBatches option.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the highest quantized value represents.
maxFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the highest quantized value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the filter tensor.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFilter input
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized filter value represents.
maxFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized filter value represents.
maxFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The maximum float value of the output tensor.
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The maxFreezedOutput input
maxFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The maxFreezedOutput input
maxIds - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The maxIds input
maxIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets maxIds.
maxIdsPerChipPerSample - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The maxIdsPerChipPerSample attribute
maxIdsPerPartition - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The maxIdsPerPartition attribute
maxImages - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Max number of batch elements to generate images for.
maxImages - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The maxImages attribute
maxImages(Long) - Static method in class org.tensorflow.op.summary.ImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.ImageSummary.Options: Sets the maxImages option.
maxImages(Long) - Static method in class org.tensorflow.op.summary.WriteImageSummary: Sets the maxImages option.
maxImages(Long) - Method in class org.tensorflow.op.summary.WriteImageSummary.Options: Sets the maxImages option.
maximum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the max of x and y (i.e.
Maximum<T extends TNumber> - Class in org.tensorflow.op.math: Returns the max of x and y (i.e.
Maximum(Operation) - Constructor for class org.tensorflow.op.math.Maximum
Maximum.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
maxIndex - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A scalar tensor or vector of dtype dtype.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the highest quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The maximum value of the input tensor.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxInput input
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the maximum quantized input value represents.
maxInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the highest quantized input value represents.
maxIntraOpParallelism - Variable in class org.tensorflow.op.core.MapDefun.Inputs: The maxIntraOpParallelism attribute
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: Identifies the maximum intra-op parallelism to use.
maxIntraOpParallelism - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The maximum degree of parallelism to use within operations that execute on this threadpool.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.core.MapDefun: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.core.MapDefun.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the maxIntraOpParallelism option.
maxIntraOpParallelism(Long) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the maxIntraOpParallelism option.
maxIntraOpParallelismDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that overrides the maximum intra-op parallelism.
maxIntraOpParallelismDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset - Class in org.tensorflow.op.data: Creates a dataset that overrides the maximum intra-op parallelism.
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset
MaxIntraOpParallelismDataset(Operation) - Constructor for class org.tensorflow.op.data.MaxIntraOpParallelismDataset
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data.experimental
MaxIntraOpParallelismDataset.Inputs - Class in org.tensorflow.op.data
maxlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Maximum value to count.
maxlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Maximum value to count.
maxlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Maximum value to count.
maxlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the maxlength option.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the maxlength option.
maxlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the maxlength option.
maxlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the maxlength option.
maxLoadFactor - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The maximum ratio between number of entries and number of buckets before growing the table.
maxLoadFactor - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The maximum ratio between number of entries and number of buckets before growing the table.
maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the maxLoadFactor option.
maxLoadFactor(Float) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the maxLoadFactor option.
maxMinibatchesPerSc - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The maxMinibatchesPerSc attribute
maxNumElements - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The maxNumElements input
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets maxOut.
maxOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets maxOut.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets maxOutput.
maxOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets maxOutput.
maxOutputs - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Max number of batch elements to generate audio for.
maxOutputs - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The maxOutputs attribute
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.AudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.AudioSummary.Options: Sets the maxOutputs option.
maxOutputs(Long) - Static method in class org.tensorflow.op.summary.WriteAudioSummary: Sets the maxOutputs option.
maxOutputs(Long) - Method in class org.tensorflow.op.summary.WriteAudioSummary.Options: Sets the maxOutputs option.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression.
maxOutputSizePerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A scalar integer tensor representing the maximum number of boxes to be selected by non max suppression per class
maxOutstandingRequests - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The maxOutstandingRequests input
maxPool(Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPool.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input.
MaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Performs max pooling on the input.
MaxPool(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool
MaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool
maxPool3d(Operand<T>, List<Long>, List<Long>, String, MaxPool3d.Options...) - Method in class org.tensorflow.op.NnOps: Performs 3D max pooling on the input.
MaxPool3d<T extends TNumber> - Class in org.tensorflow.op.nn: Performs 3D max pooling on the input.
MaxPool3d(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3d
MaxPool3d.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3d.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3d
maxPool3dGrad(Operand<T>, Operand<T>, Operand, List<Long>, List<Long>, String, MaxPool3dGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of 3D max pooling function.
MaxPool3dGrad - Class in org.tensorflow.op.nn: Computes gradients of 3D max pooling function.
MaxPool3dGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGrad
MaxPool3dGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3dGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGrad
maxPool3dGradGrad(Operand<T>, Operand<T>, Operand<T>, List<Long>, List<Long>, String, MaxPool3dGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPool3dGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPool3dGradGrad
MaxPool3dGradGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPool3dGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPool3dGradGrad
maxPoolGrad(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the maxpooling function.
MaxPoolGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGrad
MaxPoolGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGrad
maxPoolGradGrad(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, Operand<TInt32>, String, MaxPoolGradGrad.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGrad(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGrad
MaxPoolGradGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradGrad.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGrad
maxPoolGradGradWithArgmax(Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes second-order gradients of the maxpooling function.
MaxPoolGradGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax
MaxPoolGradGradWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradGradWithArgmax
maxPoolGradWithArgmax(Operand<T>, Operand<T>, Operand<? extends TNumber>, List<Long>, List<Long>, String, MaxPoolGradWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Computes gradients of the maxpooling function.
MaxPoolGradWithArgmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients of the maxpooling function.
MaxPoolGradWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolGradWithArgmax
MaxPoolGradWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolGradWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolGradWithArgmax
maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, Class, String, MaxPoolWithArgmax.Options...) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
maxPoolWithArgmax(Operand<T>, List<Long>, List<Long>, String, MaxPoolWithArgmax.Options[]) - Method in class org.tensorflow.op.NnOps: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.nn: Performs max pooling on the input and outputs both max values and indices.
MaxPoolWithArgmax(Operation) - Constructor for class org.tensorflow.op.nn.MaxPoolWithArgmax
MaxPoolWithArgmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
MaxPoolWithArgmax.Options - Class in org.tensorflow.op.nn: Optional attributes for MaxPoolWithArgmax
maxQueue - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The maxQueue input
maxRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The maximum scalar value possibly produced for the input.
maxRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The maximum value of the quantization range.
maxRowsInMemory - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: The maximum number of rows to load from the checkpoint at once.
maxRowsInMemory(Long) - Static method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Sets the maxRowsInMemory option.
maxRowsInMemory(Long) - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Options: Sets the maxRowsInMemory option.
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The maxSequenceLengths attribute
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the maxSequenceLengths option.
maxSequenceLengths(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the maxSequenceLengths option.
maxSize - Variable in class org.tensorflow.op.core.StackCreate.Inputs: The maximum size of the stack if non-negative.
maxsplit - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: An int.
maxsplit(Long) - Static method in class org.tensorflow.op.strings.StringSplit: Sets the maxsplit option.
maxsplit(Long) - Method in class org.tensorflow.op.strings.StringSplit.Options: Sets the maxsplit option.
maxSubdivsPerDevice - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The maxSubdivsPerDevice attribute
maxSubdivsPerDevice(Long) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the maxSubdivsPerDevice option.
maxSubdivsPerDevice(Long) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the maxSubdivsPerDevice option.
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The maxSummand input
maxSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The maxSummand input
maxTotalSize - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: An int32 scalar representing the maximum number of boxes retained over all classes.
maxUniqueIdsPerPartition - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The maxUniqueIdsPerPartition attribute
maxUniques - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The maxUniques input
maxUniques() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets maxUniques.
maxval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
maxval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Maximum value (exclusive, scalar).
maxval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Maximum value (exclusive, scalar).
maxvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The maximum cutoff.
maxValue - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The maxValue input
maxX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized x value represents.
maxX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized x value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the highest quantized y value represents.
maxY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the highest quantized y value represents.
maxZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets maxZ.
maxZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets maxZ.
mayModifyVariables() - Method in class org.tensorflow.op.tpu.Compile: Gets mayModifyVariables.
mean - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population mean.
mean(Operand<T>, Operand<? extends TNumber>, Mean.Options...) - Method in class org.tensorflow.op.MathOps: Computes the mean of elements across dimensions of a tensor.
Mean<T extends TType> - Class in org.tensorflow.op.math: Computes the mean of elements across dimensions of a tensor.
Mean(Operation) - Constructor for class org.tensorflow.op.math.Mean
Mean.Inputs<T extends TType> - Class in org.tensorflow.op.math
Mean.Options - Class in org.tensorflow.op.math: Optional attributes for Mean
means - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
means - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The mean parameter of each batch.
memoryConfig - Variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost.Inputs: A string-encoded memory config proto containing metadata about the memory allocations reserved for TPUEmbedding.
memoryConfig - Variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding.Inputs: A string-encoded memory config proto containing metadata about the memory allocations reserved for TPUEmbedding.
memoryConfig() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: Gets memoryConfig.
memoryConfigs - Variable in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory.Inputs: String-encoded memory config protos containing metadata about the memory allocations reserved for TPUEmbedding across all hosts.
memoryLimit - Variable in class org.tensorflow.op.core.MapClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapStage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.Stage.Inputs: The maximum number of bytes allowed for Tensors in the Staging Area.
memoryLimit - Variable in class org.tensorflow.op.core.StageClear.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.StageSize.Inputs: The memoryLimit attribute
memoryLimit - Variable in class org.tensorflow.op.core.Unstage.Inputs: The memoryLimit attribute
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Stage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Stage.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageClear: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StagePeek: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.StageSize: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the memoryLimit option.
memoryLimit(Long) - Static method in class org.tensorflow.op.core.Unstage: Sets the memoryLimit option.
memoryLimit(Long) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the memoryLimit option.
memoryRegionName - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Name of readonly memory region used by the tensor, see NewReadOnlyMemoryRegionFromFile in tensorflow::Env.
merge(Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Forwards the value of an available tensor from inputs to output.
Merge<T extends TType> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
Merge(Operation) - Constructor for class org.tensorflow.op.core.Merge
Merge.Inputs<T extends TType> - Class in org.tensorflow.op.core
merged() - Method in class org.tensorflow.op.core.DynamicStitch: Gets merged.
merged() - Method in class org.tensorflow.op.core.ParallelDynamicStitch: Gets merged.
mergeDedupData(Operand<? extends TNumber>, Operand<? extends TNumber>, String, MergeDedupData.Options...) - Method in class org.tensorflow.op.TpuOps: An op merges elements of integer and float tensors into deduplication data as XLA tuple.
MergeDedupData - Class in org.tensorflow.op.tpu: An op merges elements of integer and float tensors into deduplication data as XLA tuple.
MergeDedupData(Operation) - Constructor for class org.tensorflow.op.tpu.MergeDedupData
MergeDedupData.Inputs - Class in org.tensorflow.op.tpu
MergeDedupData.Options - Class in org.tensorflow.op.tpu: Optional attributes for MergeDedupData
mergedMemoryConfig() - Method in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: Gets mergedMemoryConfig.
mergeOp - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The mergeOp attribute
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: If true, merge repeated classes in output.
mergeRepeated - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: If True, merge repeated classes in output.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcBeamSearchDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Options: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcGreedyDecoder: Sets the mergeRepeated option.
mergeRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcGreedyDecoder.Options: Sets the mergeRepeated option.
mergeSummary(Iterable<Operand<TString>>) - Method in class org.tensorflow.op.SummaryOps: Merges summaries.
MergeSummary - Class in org.tensorflow.op.summary: Merges summaries.
MergeSummary(Operation) - Constructor for class org.tensorflow.op.summary.MergeSummary
MergeSummary.Inputs - Class in org.tensorflow.op.summary
mergeV2Checkpoints(Operand<TString>, Operand<TString>, MergeV2Checkpoints.Options...) - Method in class org.tensorflow.op.TrainOps: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints - Class in org.tensorflow.op.train: V2 format specific: merges the metadata files of sharded checkpoints.
MergeV2Checkpoints(Operation) - Constructor for class org.tensorflow.op.train.MergeV2Checkpoints
MergeV2Checkpoints.Inputs - Class in org.tensorflow.op.train
MergeV2Checkpoints.Options - Class in org.tensorflow.op.train: Optional attributes for MergeV2Checkpoints
mesh - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The mesh attribute
message - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: Prefix of the error message.
message - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: Will be printed in the error when anyone tries to differentiate this operation.
message(String) - Static method in class org.tensorflow.op.train.PreventGradient: Sets the message option.
message(String) - Method in class org.tensorflow.op.train.PreventGradient.Options: Sets the message option.
messageFormat - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Either binary or text.
messageFormat(String) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the messageFormat option.
messageFormat(String) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the messageFormat option.
messageType - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Name of the proto message type to decode.
messageType - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Name of the proto message type to decode.
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: String serialization for the TypeSpec.
metadata - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TextLineDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.TfRecordDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The metadata attribute
metadata - Variable in class org.tensorflow.op.train.DistributedSave.Inputs: The metadata attribute
metadata(String) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.CacheDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.CacheDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ConcatenateDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ConcatenateDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.DatasetToSingleElement: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.DatasetToSingleElement.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FilterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FilterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FixedLengthRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FixedLengthRecordDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.FlatMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.FlatMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.GeneratorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GeneratorDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.GroupByWindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.GroupByWindowDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.InterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.InterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ListDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ListDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.MapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.OptionsDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.OptionsDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelFilterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelFilterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelInterleaveDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelInterleaveDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RandomDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RandomDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RangeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RangeDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.RepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.RepeatDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.SkipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SkipDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TakeDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TakeWhileDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TakeWhileDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TensorDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TextLineDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TextLineDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.TfRecordDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.TfRecordDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.UnbatchDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UnbatchDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.UniqueDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.UniqueDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.WindowDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.WindowDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.data.ZipDataset: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.data.ZipDataset.Options: Sets the metadata option.
metadata(String) - Static method in class org.tensorflow.op.train.DistributedSave: Sets the metadata option.
metadata(String) - Method in class org.tensorflow.op.train.DistributedSave.Options: Sets the metadata option.
metaGraphDef() - Method in class org.tensorflow.SavedModelBundle: Returns the MetaGraphDef protocol buffer associated with the saved model.
method - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: Fingerprint method used by this op.
method - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: A string specifying the sampling method for resizing.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: A string specifying the interpolation method.
method - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: A string specifying the interpolation method.
method(String) - Static method in class org.tensorflow.op.image.CropAndResize: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResize.Options: Sets the method option.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes.Options: Sets the method option.
method(String) - Static method in class org.tensorflow.op.image.CropAndResizeGradImage: Sets the method option.
method(String) - Method in class org.tensorflow.op.image.CropAndResizeGradImage.Options: Sets the method option.
methodName() - Method in class org.tensorflow.Signature: Returns the method name of this signature (e.g.
methodName(String) - Method in class org.tensorflow.Signature.Builder: Provide extensible name information enabling third-party users to mark a signature as supporting a particular method
mfcc(Operand<TFloat32>, Operand<TInt32>, Mfcc.Options...) - Method in class org.tensorflow.op.AudioOps: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc - Class in org.tensorflow.op.audio: Transforms a spectrogram into a form that's useful for speech recognition.
Mfcc(Operation) - Constructor for class org.tensorflow.op.audio.Mfcc
Mfcc.Inputs - Class in org.tensorflow.op.audio
Mfcc.Options - Class in org.tensorflow.op.audio: Optional attributes for Mfcc
mg - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mg used in the centered RMSProp optimization algorithm.
mg - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mg() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mg.
min - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The min value(s) to clip operand.
min - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The min attribute
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The min attribute
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The min input
min - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The min input
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the min option.
min(Float) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the min option.
min(Float) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the min option.
min(Operand<T>, Operand<? extends TNumber>, Min.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
Min<T extends TNumber> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
Min(Operation) - Constructor for class org.tensorflow.op.core.Min
Min.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
Min.Options - Class in org.tensorflow.op.core: Optional attributes for Min
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized a value represents.
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minA input
minA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minA input
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedRelu6: Gets minActivations.
minActivations() - Method in class org.tensorflow.op.nn.QuantizedReluX: Gets minActivations.
minAfterDequeue - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: Dequeue will block unless there would be this many elements after the dequeue or the queue is closed.
minAfterDequeue(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the minAfterDequeue option.
minAfterDequeue(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the minAfterDequeue option.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the lowest quantized b value represents.
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minB input
minB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minB input
minBias - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized bias value represents.
minCount - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The minimum number of word occurrences for it to be included in the vocabulary.
minCount(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the minCount option.
minCount(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the minCount option.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The float value that the lowest quantized value represents.
minFeatures - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The float value that the lowest quantized value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the filter tensor.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFilter input
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized filter value represents.
minFilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized filter value represents.
minFreezedOutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The float value that the highest quantized output value after requantize.
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The minimum float value of the output tensor.
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The minFreezedOutput input
minFreezedOutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The minFreezedOutput input
miniBatchInCsr - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The miniBatchInCsr attribute
miniBatchSplits - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The miniBatchSplits attribute
miniBatchSplits - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The miniBatchSplits attribute
minimum(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the min of x and y (i.e.
Minimum<T extends TNumber> - Class in org.tensorflow.op.math: Returns the min of x and y (i.e.
Minimum(Operation) - Constructor for class org.tensorflow.op.math.Minimum
Minimum.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
minInput - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The float value that the lowest quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The minimum value of the input tensor
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minInput input
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The float value that the minimum quantized input value represents.
minInput - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The float value that the lowest quantized input value represents.
minlength - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Minimum value to count.
minlength - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Minimum value to count.
minlength - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Minimum value to count.
minlength(Long) - Static method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Options: Sets the minlength option.
minlength(Long) - Static method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput.Options: Sets the minlength option.
minlength(Long) - Static method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Sets the minlength option.
minlength(Long) - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput.Options: Sets the minlength option.
minObjectCovered - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
minObjectCovered - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The cropped area of the image must contain at least this fraction of any bounding box supplied.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets minOut.
minOut() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets minOut.
minOut() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets minOut.
minOut() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets minOut.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets minOutput.
minOutput() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets minOutput.
minRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The minimum scalar value possibly produced for the input.
minRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The minimum value of the quantization range.
minSeparation - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: Minimum value of y_max - y_min
minSeparation(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the minSeparation option.
minSeparation(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the minSeparation option.
minSize - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor.
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The minSummand input
minSummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The minSummand input
minval - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: 0-D.
minval - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: Minimum value (inclusive, scalar).
minval - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: Minimum value (inclusive, scalar).
minvals - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minvals - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The minimum cutoff.
minX - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized x value represents.
minX - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized x value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The float value that the lowest quantized y value represents.
minY - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The float value that the lowest quantized y value represents.
minZ() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets minZ.
minZ() - Method in class org.tensorflow.op.math.QuantizedMul: Gets minZ.
mirrorPad(Operand<T>, Operand<? extends TNumber>, String) - Method in class org.tensorflow.op.Ops: Pads a tensor with mirrored values.
MirrorPad<T extends TType> - Class in org.tensorflow.op.core: Pads a tensor with mirrored values.
MirrorPad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPad
MirrorPad.Inputs<T extends TType> - Class in org.tensorflow.op.core
mirrorPadGrad(Operand<T>, Operand<? extends TNumber>, String) - Method in class org.tensorflow.op.Ops: Gradient op for MirrorPad op.
MirrorPadGrad<T extends TType> - Class in org.tensorflow.op.core: Gradient op for MirrorPad op.
MirrorPadGrad(Operation) - Constructor for class org.tensorflow.op.core.MirrorPadGrad
MirrorPadGrad.Inputs<T extends TType> - Class in org.tensorflow.op.core
mlirModule - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The mlirModule attribute
mlirPassthroughOp(Iterable<Operand<?>>, String, List<Class<? extends TType>>) - Method in class org.tensorflow.op.Ops: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp - Class in org.tensorflow.op.core: Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MlirPassthroughOp(Operation) - Constructor for class org.tensorflow.op.core.MlirPassthroughOp
MlirPassthroughOp.Inputs - Class in org.tensorflow.op.core
mMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized mean.
mMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized mean.
mod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
Mod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
Mod(Operation) - Constructor for class org.tensorflow.op.math.Mod
Mod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
mode - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: Either REFLECT or SYMMETRIC.
mode - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The mode used in the MirrorPad op.
mode - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The mode attribute
mode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The mode attribute
mode(String) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the mode option.
mode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the mode option.
mode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the mode option.
modelDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ModelDataset.Options...) - Method in class org.tensorflow.op.DataOps: Identity transformation that models performance.
ModelDataset - Class in org.tensorflow.op.data: Identity transformation that models performance.
ModelDataset(Operation) - Constructor for class org.tensorflow.op.data.ModelDataset
ModelDataset.Inputs - Class in org.tensorflow.op.data
ModelDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ModelDataset
modeOverride - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The modeOverride input
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
modeOverride - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A string input that overrides the mode specified in the TPUEmbeddingConfiguration.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of mom used in the centered RMSProp optimization algorithm.
mom - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of mom used in the RMSProp optimization algorithm.
mom - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
mom - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets mom.
mom() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets mom.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of momenta used in the Adagrad Momentum optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of momenta used in the ADAM optimization algorithm.
momenta - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of momenta used in the Momentum optimization algorithm.
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The momenta input
momenta - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The momenta input
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets momenta.
momenta() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets momenta.
momentum - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Momentum Scale.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Momentum.
momentum - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The momentum input
momentum - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The momentum input
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of ms used in the centered RMSProp optimization algorithm.
ms - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of ms used in the RMSProp optimization algorithm.
ms - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
ms - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets ms.
ms() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets ms.
mul(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
Mul<T extends TType> - Class in org.tensorflow.op.math: Returns x * y element-wise.
Mul(Operation) - Constructor for class org.tensorflow.op.math.Mul
Mul.Inputs<T extends TType> - Class in org.tensorflow.op.math
mulNoNan(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise.
MulNoNan<T extends TType> - Class in org.tensorflow.op.math: Returns x * y element-wise.
MulNoNan(Operation) - Constructor for class org.tensorflow.op.math.MulNoNan
MulNoNan.Inputs<T extends TType> - Class in org.tensorflow.op.math
multiDeviceIterator - Variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator.Inputs: A handle to the multi device iterator to delete.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: A MultiDeviceIterator resource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorInit.Inputs: A MultiDeviceIteratorResource.
multiDeviceIterator - Variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle.Inputs: A MultiDeviceIterator resource.
multiDeviceIterator() - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Gets multiDeviceIterator.
multiDeviceIterator(List<String>, String, String, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a MultiDeviceIterator resource.
MultiDeviceIterator - Class in org.tensorflow.op.data: Creates a MultiDeviceIterator resource.
MultiDeviceIterator(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIterator
MultiDeviceIterator.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorFromStringHandle(Operand<TString>, List<Class<? extends TType>>, MultiDeviceIteratorFromStringHandle.Options...) - Method in class org.tensorflow.op.DataOps: Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle - Class in org.tensorflow.op.data: Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle
MultiDeviceIteratorFromStringHandle.Inputs - Class in org.tensorflow.op.data
MultiDeviceIteratorFromStringHandle.Options - Class in org.tensorflow.op.data: Optional attributes for MultiDeviceIteratorFromStringHandle
multiDeviceIteratorGetNextFromShard(Operand<? extends TType>, Operand<TInt32>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Gets next element for the provided shard number.
MultiDeviceIteratorGetNextFromShard - Class in org.tensorflow.op.data: Gets next element for the provided shard number.
MultiDeviceIteratorGetNextFromShard(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard
MultiDeviceIteratorGetNextFromShard.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorInit(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.DataOps: Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorInit - Class in org.tensorflow.op.data: Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorInit(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorInit
MultiDeviceIteratorInit.Inputs - Class in org.tensorflow.op.data
multiDeviceIteratorToStringHandle(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Produces a string handle for the given MultiDeviceIterator.
MultiDeviceIteratorToStringHandle - Class in org.tensorflow.op.data: Produces a string handle for the given MultiDeviceIterator.
MultiDeviceIteratorToStringHandle(Operation) - Constructor for class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle
MultiDeviceIteratorToStringHandle.Inputs - Class in org.tensorflow.op.data
multinomial(Operand<? extends TNumber>, Operand<TInt32>, Class, Multinomial.Options...) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
multinomial(Operand<? extends TNumber>, Operand<TInt32>, Multinomial.Options[]) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
Multinomial - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
Multinomial(Operation) - Constructor for class org.tensorflow.op.random.Multinomial
Multinomial.Inputs - Class in org.tensorflow.op.random
Multinomial.Options - Class in org.tensorflow.op.random: Optional attributes for Multinomial
multiples - Variable in class org.tensorflow.op.core.Tile.Inputs: 1-D.
multiples - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The multiples input
multiplyLinearByLearningRate - Variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl.Inputs: The multiplyLinearByLearningRate attribute
multiplyLinearByLearningRate - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The multiplyLinearByLearningRate attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The multiplyLinearByLr attribute
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the multiplyLinearByLr option.
multiplyLinearByLr(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the multiplyLinearByLr option.
mutableDenseHashTable(Operand<T>, Operand<T>, Class, MutableDenseHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable - Class in org.tensorflow.op.core: Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableDenseHashTable
MutableDenseHashTable.Inputs<T extends TType> - Class in org.tensorflow.op.core
MutableDenseHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableDenseHashTable
mutableHashTable(Class<T>, Class, MutableHashTable.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTable - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTable(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTable
MutableHashTable.Inputs - Class in org.tensorflow.op.core
MutableHashTable.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTable
mutableHashTableOfTensors(Class<T>, Class, MutableHashTableOfTensors.Options...) - Method in class org.tensorflow.op.Ops: Creates an empty hash table.
MutableHashTableOfTensors - Class in org.tensorflow.op.core: Creates an empty hash table.
MutableHashTableOfTensors(Operation) - Constructor for class org.tensorflow.op.core.MutableHashTableOfTensors
MutableHashTableOfTensors.Inputs - Class in org.tensorflow.op.core
MutableHashTableOfTensors.Options - Class in org.tensorflow.op.core: Optional attributes for MutableHashTableOfTensors
mutex - Variable in class org.tensorflow.op.core.MutexLock.Inputs: The mutex resource to lock.
mutex(Mutex.Options...) - Method in class org.tensorflow.op.Ops: Creates a Mutex resource that can be locked by MutexLock.
Mutex - Class in org.tensorflow.op.core: Creates a Mutex resource that can be locked by MutexLock.
Mutex(Operation) - Constructor for class org.tensorflow.op.core.Mutex
Mutex.Inputs - Class in org.tensorflow.op.core
Mutex.Options - Class in org.tensorflow.op.core: Optional attributes for Mutex
mutexLock - Variable in class org.tensorflow.op.core.ConsumeMutexLock.Inputs: A tensor returned by MutexLock.
mutexLock() - Method in class org.tensorflow.op.core.MutexLock: Gets mutexLock.
mutexLock(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Locks a mutex resource.
MutexLock - Class in org.tensorflow.op.core: Locks a mutex resource.
MutexLock(Operation) - Constructor for class org.tensorflow.op.core.MutexLock
MutexLock.Inputs - Class in org.tensorflow.op.core

N

n - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: The number of tuples to dequeue.
n - Variable in class org.tensorflow.op.nn.NthElement.Inputs: 0-D.
name - Variable in class org.tensorflow.Signature.TensorDescription: The name of the tensor's operand in the graph
name() - Method in class org.tensorflow.GraphOperation
name() - Element in annotation type org.tensorflow.op.annotation.Endpoint: Name for the wrapper method used in the Ops class.
name() - Element in annotation type org.tensorflow.op.annotation.Operator: Name for the wrapper method used in the Ops class.
name() - Method in interface org.tensorflow.Operation: Returns the full name of the Operation.
name() - Method in class org.tensorflow.Output: Returns the full name of this Output (a.k.a.
names - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A tensor containing the names of the serialized protos.
narrowRange - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: Whether to quantize into 2^num_bits - 1 distinct values.
narrowRange - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The narrowRange attribute
narrowRange - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Dequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Dequantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the narrowRange option.
narrowRange(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the narrowRange option.
narrowRange(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the narrowRange option.
nativeHandle(RawTensor) - Static method in class org.tensorflow.TensorMapper: Helper for retrieving the native handle of a raw tensor
NativeScope - Class in org.tensorflow.op: A Scope implementation backed by a native scope.
naValue - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The naValue input
naValue - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Additional string to recognize as NA/NaN.
naValue(String) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the naValue option.
naValue(String) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the naValue option.
nbins - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Scalar int32 Tensor.
ncclAllReduce(Operand<T>, String, Long, String) - Method in class org.tensorflow.op.DistributeOps: Outputs a tensor containing the reduction across all input tensors.
ncclAllReduce(Operand<T>, String, Long, String) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclAllReduce instead
NcclAllReduce<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclAllReduce instead
NcclAllReduce<T extends TNumber> - Class in org.tensorflow.op.distribute: Outputs a tensor containing the reduction across all input tensors.
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclAllReduce: Deprecated.
NcclAllReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclAllReduce
NcclAllReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclAllReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
ncclBroadcast(Operand<T>, Shape) - Method in class org.tensorflow.op.DistributeOps: Sends input to all devices that are connected to the output.
ncclBroadcast(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclBroadcast instead
NcclBroadcast<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclBroadcast instead
NcclBroadcast<T extends TNumber> - Class in org.tensorflow.op.distribute: Sends input to all devices that are connected to the output.
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.core.NcclBroadcast: Deprecated.
NcclBroadcast(Operation) - Constructor for class org.tensorflow.op.distribute.NcclBroadcast
NcclBroadcast.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclBroadcast.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
ncclReduce(Iterable<Operand<T>>, String) - Method in class org.tensorflow.op.DistributeOps: Reduces input from num_devices using reduction to a single device.
ncclReduce(Iterable<Operand<T>>, String) - Method in class org.tensorflow.op.Ops: Deprecated.
use NcclReduce instead
NcclReduce<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
use NcclReduce instead
NcclReduce<T extends TNumber> - Class in org.tensorflow.op.distribute: Reduces input from num_devices using reduction to a single device.
NcclReduce(Operation) - Constructor for class org.tensorflow.op.core.NcclReduce: Deprecated.
NcclReduce(Operation) - Constructor for class org.tensorflow.op.distribute.NcclReduce
NcclReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.core: Deprecated.
NcclReduce.Inputs<T extends TNumber> - Class in org.tensorflow.op.distribute
NcontextDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextDense option.
NcontextDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextDense option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NcontextSparse option.
NcontextSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NcontextSparse option.
NcontextSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NcontextSparse option.
ndtri(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Ndtri operation
Ndtri<T extends TNumber> - Class in org.tensorflow.op.math: The Ndtri operation
Ndtri(Operation) - Constructor for class org.tensorflow.op.math.Ndtri
Ndtri.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
nearestCenterDistances() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterDistances.
nearestCenterIndices() - Method in class org.tensorflow.op.image.NearestNeighbors: Gets nearestCenterIndices.
nearestNeighbors(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt64>) - Method in class org.tensorflow.op.ImageOps: Selects the k nearest centers for each point.
NearestNeighbors - Class in org.tensorflow.op.image: Selects the k nearest centers for each point.
NearestNeighbors(Operation) - Constructor for class org.tensorflow.op.image.NearestNeighbors
NearestNeighbors.Inputs - Class in org.tensorflow.op.image
neg(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes numerical negative value element-wise.
Neg<T extends TType> - Class in org.tensorflow.op.math: Computes numerical negative value element-wise.
Neg(Operation) - Constructor for class org.tensorflow.op.math.Neg
Neg.Inputs<T extends TType> - Class in org.tensorflow.op.math
negTrain(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, List<Long>, Long) - Method in class org.tensorflow.op.TrainOps: Training via negative sampling.
NegTrain - Class in org.tensorflow.op.train: Training via negative sampling.
NegTrain(Operation) - Constructor for class org.tensorflow.op.train.NegTrain
NegTrain.Inputs - Class in org.tensorflow.op.train
networkConfig() - Method in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: Gets networkConfig.
networkConfigs - Variable in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts.Inputs: Strings containing metadata about the hostname and RPC port used for communication with all hosts.
newAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i being 1 means the ith specification creates a new shape 1 dimension.
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The newAxisMask attribute
newAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The newAxisMask attribute
newAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the newAxisMask option.
newAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the newAxisMask option.
newAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the newAxisMask option.
newBuilder() - Static method in class org.tensorflow.DeviceSpec
newFormatKey - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The newFormatKey input
newGlobalStep - Variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newGlobalStep - Variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep.Inputs: The new global_step value to set.
newShape - Variable in class org.tensorflow.op.sparse.SparseReshape.Inputs: 1-D.
newVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the new vocab file.
newVocabOffset - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: How many entries into the new vocab file to start reading.
nextAfter(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter<T extends TNumber> - Class in org.tensorflow.op.math: Returns the next representable value of x1 in the direction of x2, element-wise.
NextAfter(Operation) - Constructor for class org.tensorflow.op.math.NextAfter
NextAfter.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
nextFuncOtherArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The nextFuncOtherArgs input
nextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
NextIteration<T extends TType> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
NextIteration(Operation) - Constructor for class org.tensorflow.op.core.NextIteration
NextIteration.Inputs<T extends TType> - Class in org.tensorflow.op.core
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListDense option.
NfeatureListDense(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListDense option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSequenceExample.Options: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Static method in class org.tensorflow.op.io.ParseSingleSequenceExample: Sets the NfeatureListSparse option.
NfeatureListSparse(Long) - Method in class org.tensorflow.op.io.ParseSingleSequenceExample.Options: Sets the NfeatureListSparse option.
ngrams() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngrams.
ngramsSplits() - Method in class org.tensorflow.op.strings.StringNGrams: Gets ngramsSplits.
ngramWidths - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The sizes of the ngrams to create.
nmsedBoxes() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedBoxes.
nmsedClasses() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedClasses.
nmsedScores() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets nmsedScores.
nmsThreshold - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar float tensor for non-maximal-suppression threshold.
nn - Variable in class org.tensorflow.op.Ops
NN(Long) - Static method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: Sets the NN option.
NN(Long) - Method in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients.Options: Sets the NN option.
NnOps - Class in org.tensorflow.op: An API for building nn operations as Ops
nnz() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: Gets nnz.
noise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should uniform, gaussian, or zero.
noise(String) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the noise option.
noise(String) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the noise option.
nonDeterministicInts(Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Non-deterministically generates some integers.
nonDeterministicInts(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Non-deterministically generates some integers.
NonDeterministicInts - Class in org.tensorflow.op.random: Non-deterministically generates some integers.
NonDeterministicInts(Operation) - Constructor for class org.tensorflow.op.random.NonDeterministicInts
NonDeterministicInts.Inputs - Class in org.tensorflow.op.random
nonMaxSuppression(Operand<T>, Operand<T>, Operand<TInt32>, Operand<T>, Operand<T>, Operand<T>, NonMaxSuppression.Options...) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression<T extends TNumber> - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes.
NonMaxSuppression(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppression
NonMaxSuppression.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
NonMaxSuppression.Options - Class in org.tensorflow.op.image: Optional attributes for NonMaxSuppression
nonMaxSuppressionWithOverlaps(Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.ImageOps: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps - Class in org.tensorflow.op.image: Greedily selects a subset of bounding boxes in descending order of score, pruning away boxes that have high overlaps with previously selected boxes.
NonMaxSuppressionWithOverlaps(Operation) - Constructor for class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps
NonMaxSuppressionWithOverlaps.Inputs - Class in org.tensorflow.op.image
nonSerializableDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalNonSerializableDataset operation
nonSerializableDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The NonSerializableDataset operation
NonSerializableDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalNonSerializableDataset operation
NonSerializableDataset - Class in org.tensorflow.op.data: The NonSerializableDataset operation
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.NonSerializableDataset
NonSerializableDataset(Operation) - Constructor for class org.tensorflow.op.data.NonSerializableDataset
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data.experimental
NonSerializableDataset.Inputs - Class in org.tensorflow.op.data
noOp() - Method in class org.tensorflow.op.Ops: Does nothing.
NoOp - Class in org.tensorflow.op.core: Does nothing.
NoOp(Operation) - Constructor for class org.tensorflow.op.core.NoOp
NoOp.Inputs - Class in org.tensorflow.op.core
NorderingToken(Long) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the NorderingToken option.
NorderingToken(Long) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the NorderingToken option.
NorderingToken(Long) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the NorderingToken option.
NorderingToken(Long) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the NorderingToken option.
normalize - Variable in class org.tensorflow.op.core.EditDistance.Inputs: boolean (if true, edit distances are normalized by length of truth).
normalize(Boolean) - Static method in class org.tensorflow.op.core.EditDistance: Sets the normalize option.
normalize(Boolean) - Method in class org.tensorflow.op.core.EditDistance.Options: Sets the normalize option.
normalized - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the offset coordinates are normalized.
normalized(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the normalized option.
normalized(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the normalized option.
notEqual(Operand<T>, Operand<T>, NotEqual.Options...) - Method in class org.tensorflow.op.MathOps: Returns the truth value of (x != y) element-wise.
NotEqual - Class in org.tensorflow.op.math: Returns the truth value of (x != y) element-wise.
NotEqual(Operation) - Constructor for class org.tensorflow.op.math.NotEqual
NotEqual.Inputs<T extends TType> - Class in org.tensorflow.op.math
NotEqual.Options - Class in org.tensorflow.op.math: Optional attributes for NotEqual
nrows - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The nrows input
nthElement(Operand<T>, Operand<TInt32>, NthElement.Options...) - Method in class org.tensorflow.op.NnOps: Finds values of the n-th order statistic for the last dimension.
NthElement<T extends TNumber> - Class in org.tensorflow.op.nn: Finds values of the n-th order statistic for the last dimension.
NthElement(Operation) - Constructor for class org.tensorflow.op.nn.NthElement
NthElement.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
NthElement.Options - Class in org.tensorflow.op.nn: Optional attributes for NthElement
num - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
numAccumulated() - Method in class org.tensorflow.op.train.AccumulatorNumAccumulated: Gets numAccumulated.
numAccumulated() - Method in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: Gets numAccumulated.
numBatchThreads - Variable in class org.tensorflow.op.core.Batch.Inputs: The numBatchThreads attribute
numBatchThreads - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Number of scheduling threads for processing batches of work.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Inputs: The bitwidth of the quantization; between 2 and 8, inclusive.
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Inputs: The numBits attribute
numBits - Variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Inputs: The bitwidth of the quantization; between 2 and 16, inclusive.
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The numBits input
numBits - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The bitwidth of the quantization.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient.Options: Sets the numBits option.
numBits(Long) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the numBits option.
numBits(Long) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the numBits option.
numBuckets - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The numBuckets attribute
numBuckets - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: It is used if hashed_output is true.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketFast.Inputs: The number of buckets.
numBuckets - Variable in class org.tensorflow.op.strings.ToHashBucketStrong.Inputs: The number of buckets.
numBytes() - Method in class org.tensorflow.RawTensor
numBytes() - Method in interface org.tensorflow.Tensor: Returns the size, in bytes, of the tensor data.
numCols - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of columns (length of the 2nd dimension) in the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of columns of the output matrix.
numCols - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of columns of the output matrix.
numConcats - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Number of ways to merge per dimension.
numConcats - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Number of ways to merge per dimension.
numConsumers - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The numConsumers input
numConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops that use any of this op's outputs as an input, not including control dependencies.
numConsumers(int) - Method in class org.tensorflow.GraphOperation: Get the number of ops that use this op's designated output as an input, not including control dependencies.
numControlConsumers() - Method in class org.tensorflow.GraphOperation: Get the number of ops with this op as a control dependency.
numControlInputs() - Method in class org.tensorflow.GraphOperation: Get the number of control inputs for this op.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of cores per replica.
numCoresPerReplica - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of cores per replica.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the numCoresPerReplica option.
numCoresPerReplica(Long) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the numCoresPerReplica option.
numDevices - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The numDevices attribute
numDevices - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The numDevices attribute
numDimensions(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numDimensions(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the number of dimensions of the shape object.
numDimensions(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numDimensions(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the number of dimensions of the shape object.
numElements - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: A single-element tensor containing the number of elements to take.
numElements - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The numElements input
numElements - Variable in class org.tensorflow.op.core.TensorListStack.Inputs: The numElements attribute
numElements() - Method in class org.tensorflow.op.tpu.ComputeDedupDataSize: Gets numElements.
numElements(Long) - Static method in class org.tensorflow.op.core.TensorListStack: Sets the numElements option.
numElements(Long) - Method in class org.tensorflow.op.core.TensorListStack.Options: Sets the numElements option.
numElementsPerBranch - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The numElementsPerBranch attribute
numExperiments - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The numExperiments attribute
numExperiments - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The numExperiments attribute
numFeatures - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The numFeatures attribute
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The numFeatures attribute
numFeatures - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The numFeatures attribute
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(Long...) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(Long...) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numFeatures(List<Long>) - Static method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(List<Long>) - Method in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: Sets the numFeatures option.
numFeatures(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Options: Sets the numFeatures option.
numFeatures(List<Long>) - Static method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: Sets the numFeatures option.
numFeatures(List<Long>) - Method in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Options: Sets the numFeatures option.
numInnerIterations - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of iterations per mini-batch.
numInputs() - Method in class org.tensorflow.GraphOperation: Get the number of inputs to the op, not including control inputs.
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numLayers input
numLayers - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numLayers input
NumLearningRateTags(Long) - Static method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: Sets the NumLearningRateTags option.
NumLearningRateTags(Long) - Method in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients.Options: Sets the NumLearningRateTags option.
numLossPartitions - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: Number of partitions of the global loss function.
numLower - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numLower - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numLower input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The numMinibatchesPerPhysicalSparseCore input
numMinibatchesPerPhysicalSparseCore() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets numMinibatchesPerPhysicalSparseCore.
numNegativeSamples - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Number of negative samples per example.
numNewVocab - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the new vocab file to remap.
numOutputs() - Method in class org.tensorflow.GraphOperation
numOutputs() - Method in interface org.tensorflow.Operation: Returns the number of tensors produced by this operation.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A scalar representing the maximum number of parallel invocations of the map_fn function.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The numParallelCalls input
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The number of concurrent invocations of predicate that process elements from input_dataset in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of threads that should be used for fetching data from input datasets in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The number of concurrent invocations of f that process elements from input_dataset in parallel.
numParallelCalls - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The numParallelCalls input
numPresent() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets numPresent.
numProj - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numProj attribute
numProj - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numProj attribute
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the numProj option.
numProj(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the numProj option.
numProj(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the numProj option.
numRecords - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: number of records to read from Reader.
numReplica - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The numReplica attribute
numReplica - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The numReplica attribute
numReplicas - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The numReplicas attribute
numReplicas - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: A scalar representing the number of replicas to distribute this batch across.
numReplicas - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Number of replicas of the computation
numReplicas - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Number of replicas of the computation
numReplicas(Long) - Static method in class org.tensorflow.op.data.AutoShardDataset: Sets the numReplicas option.
numReplicas(Long) - Method in class org.tensorflow.op.data.AutoShardDataset.Options: Sets the numReplicas option.
numRequired - Variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.AccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numRequired - Variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient.Inputs: Number of gradients required before we return an aggregate.
numReservedIds - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Optionally some reserved IDs can be added in the range [0, ..., num_reserved_ids) by the users.
numReservedIds(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numReservedIds option.
numReservedIds(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numReservedIds option.
numResults - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
numRetriesPerSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numRows - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Number of rows (length of the 1st dimension) in the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number of rows of the output matrix.
numRows - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number of rows of the output matrix.
numSampled - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of candidates to produce.
numSampled - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: Number of candidates to randomly sample.
numSampled - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of candidates to randomly sample.
numSamples - Variable in class org.tensorflow.op.random.Multinomial.Inputs: 0-D.
numSamples - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 0-D.
numScPerChip - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The numScPerChip attribute
numScPerChip - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The numScPerChip attribute
numSegments - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The numSegments input
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: Should equal the number of distinct segment IDs.
numSegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The numSegments input
numShards - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: An integer representing the number of shards operating in parallel.
numShards - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.io.ShardedFilespec.Inputs: The numShards input
numShards - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
numShards - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: Number of shards into which the embedding tables are divided.
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: Number of shards into which the embedding tables are divided.
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The numShards attribute
numShards - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The numShards attribute
numShards(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the numShards option.
numShards(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the numShards option.
numSplits - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Number of ways to split per dimension.
numSplits - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Number of ways to split per dimension.
numThreads - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numThreads - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: Identifies the number of threads to use for the private threadpool.
numThreads - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The number of threads in the thread pool.
numToSample - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
numTrue - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: Number of true labels per context.
numTrue - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: Number of true labels per context.
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The numUnits input
numUnits - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The numUnits input
numUpper - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: 0-D tensor.
numUpper - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The numUpper input
numWorkers - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.
numWorkers - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: A scalar representing the number of workers to distribute this dataset across.

O

o - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The output gate over the whole time sequence.
o - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The output gate.
o() - Method in class org.tensorflow.op.nn.BlockLSTM: Gets o.
o() - Method in class org.tensorflow.op.nn.LSTMBlockCell: Gets o.
of(Class<T>, Shape) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype and shape.
of(Class<T>, Shape, long) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class<T>, Shape, long, Consumer<T>) - Static method in interface org.tensorflow.Tensor: Allocates a tensor of a given datatype, shape and size.
of(Class<T>, Shape, Consumer<T>) - Static method in interface org.tensorflow.Tensor: Allocates and initialize a tensor of a given datatype and shape.
of(Class<T>, Shape, ByteDataBuffer) - Static method in interface org.tensorflow.Tensor: Creates a Tensor of any type from the raw data provided by the given buffer.
of(TInt64, T, TInt64) - Static method in interface org.tensorflow.SparseTensor: Creates a sparse tensor from indices, values and denseShape dense tensors.
offset - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: The offset attribute
offset - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for offset, to shift to the normalized x.
offset() - Method in class org.tensorflow.op.core.ConcatOffset: Gets offset.
offset(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the offset option.
offset(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the offset option.
offsetBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets offsetBackprop.
offsets - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 2-D integer tensor of shape [batch_size, 2] containing the y, x locations of the center of each window.
offsets - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The offsets input
offValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] != i.
oldTensorName - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: Name of the 2-D Tensor to load from checkpoint.
oldVocabFile - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Path to the old vocab file.
oldVocabSize - Variable in class org.tensorflow.op.train.GenerateVocabRemapping.Inputs: Number of entries in the old vocab file to consider.
oldVocabSize(Long) - Static method in class org.tensorflow.op.train.GenerateVocabRemapping: Sets the oldVocabSize option.
oldVocabSize(Long) - Method in class org.tensorflow.op.train.GenerateVocabRemapping.Options: Sets the oldVocabSize option.
oneHot(Operand<? extends TNumber>, Operand<TInt32>, Operand, Operand, OneHot.Options...) - Method in class org.tensorflow.op.Ops: Returns a one-hot tensor.
OneHot - Class in org.tensorflow.op.core: Returns a one-hot tensor.
OneHot(Operation) - Constructor for class org.tensorflow.op.core.OneHot
OneHot.Inputs - Class in org.tensorflow.op.core
OneHot.Options - Class in org.tensorflow.op.core: Optional attributes for OneHot
ones(Operand<? extends TNumber>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a one valued tensor given its type and shape.
Ones<T extends TType> - Class in org.tensorflow.op.core: An operator creating a constant initialized with ones of the shape given by `dims`.
oneShotIterator(ConcreteFunction, List<Class<? extends TType>>, List<Shape>, OneShotIterator.Options...) - Method in class org.tensorflow.op.DataOps: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator - Class in org.tensorflow.op.data: Makes a "one-shot" iterator that can be iterated only once.
OneShotIterator(Operation) - Constructor for class org.tensorflow.op.data.OneShotIterator
OneShotIterator.Inputs - Class in org.tensorflow.op.data
OneShotIterator.Options - Class in org.tensorflow.op.data: Optional attributes for OneShotIterator
onesLike(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a tensor of ones with the same shape and type as x.
OnesLike<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor of ones with the same shape and type as x.
OnesLike(Operation) - Constructor for class org.tensorflow.op.core.OnesLike
OnesLike.Inputs<T extends TType> - Class in org.tensorflow.op.core
onValue - Variable in class org.tensorflow.op.core.OneHot.Inputs: A scalar defining the value to fill in output when indices[j] = i.
op() - Method in class org.tensorflow.op.core.Ones
op() - Method in class org.tensorflow.op.core.Zeros
op() - Method in interface org.tensorflow.op.Op: Return this unit of computation as a single Operation.
op() - Method in class org.tensorflow.op.RawOp
op() - Method in class org.tensorflow.Output
Op - Interface in org.tensorflow.op: A logical unit of computation.
OP_NAME - Static variable in class org.tensorflow.op.audio.AudioSpectrogram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.DecodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.EncodeWav: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.audio.Mfcc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.BitwiseXor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.Invert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.LeftShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.bitwise.RightShift: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KMC2ChainInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveAllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveAssignGroup: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastRecv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveBcastSend: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectivePermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.collective.CollectiveReduceScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Abort: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.All: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Any: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ApproxTopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssertThat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Assign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignAddVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignSubVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.AssignVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Barrier: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierInsertMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierReadySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BarrierTakeMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Batch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchFunction: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BatchToSpaceNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bitcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastGradientArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.BroadcastTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Bucketize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ClipByValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Concat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ConcatOffset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Constant
OP_NAME - Static variable in class org.tensorflow.op.core.ConsumeMutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ControlTrigger: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Copy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyToMesh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CopyToMeshGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.CountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DecodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeepCopy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeleteSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyResourceOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DestroyTemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DeviceIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DummyMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicPartition: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.DynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EditDistance: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Empty: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EmptyTensorMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EncodeProto: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.EnsureShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Enter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Exit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExpandDims: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ExtractVolumePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.FakeParam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.FileSystemSetConfiguration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fill: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Fingerprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.For: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Gather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetElementAtIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetOptions: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GetSessionTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.GuaranteeConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HistogramFixedWidth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.HostConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Identity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IdentityN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ImmutableConst: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InitializeTableFromTextFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.InplaceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.IsVariableInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.KthOrderStatistic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LinSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableExport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableFind: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableImport: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableRemove: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LookupTableSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LoopCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.LowerBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MakeUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapDefun: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Max: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Merge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Min: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MirrorPadGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MlirPassthroughOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableDenseHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutableHashTableOfTensors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Mutex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.MutexLock: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclAllReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NcclReduce: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.NoOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OneHot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OnesLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapIncompleteSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapPeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapStage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Pad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ParallelDynamicStitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.PartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Placeholder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.PlaceholderWithDefault: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Print: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Prod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.QuantizedReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RandomIndexShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Range: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Rank: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReadVariableOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Recv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceAny: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefEnter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefExit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefMerge: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefNextIteration: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSelect: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RefSwitch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Relayout: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RelayoutLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.RemoteCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceCountUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceGatherNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ResourceStridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Reverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ReverseSequence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Roll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ScatterUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Select: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Send: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetDiff1d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SetSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Shape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ShapeN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Size: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Skipgram: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Slice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Snapshot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SpaceToBatchNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Split: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SplitV: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Squeeze: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackCreate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackPop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StackPush: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Stage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageClear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StagePeek: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StageSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulPartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatefulWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessCase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessIf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StatelessWhile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StochasticCastToInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StopGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceAssign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.StridedSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Sum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SwitchCond: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.SyncDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TemporaryVariable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArray: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayGradWithShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayPack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArraySplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayUnpack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorArrayWrite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListConcatLists: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListElementShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListFromTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListGetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPopBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListPushBackBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListReserve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSetItem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorListStack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapErase: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapHasKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapInsert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapLookup: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorMapStackKeys: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdSub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorScatterNdUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TensorStridedSliceUpdate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Tile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Timestamp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.TopKWithUnique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unbatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnbatchGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UniformQuantizedClipByValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unique: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UniqueWithCounts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UnravelIndex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstack: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Unstage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.UpperBound: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarHandleOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Variable: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VariableShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.VarIsInitializedOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.Where: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.core.ZerosLike: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertCardinalityDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AssertPrevDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CacheDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestBranchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ConcatenateDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DataServiceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetFingerprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetFromGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToGraph: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToSingleElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DatasetToTfRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMemoryCache: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeleteMultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DeserializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.DummyIterationCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AssertNextDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.AutoShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.CSVDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetCardinality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DatasetToTFRecord: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.LmdbDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.RebatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.experimental.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterByLastComponentDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FilterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FinalizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FixedLengthRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.FlatMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GeneratorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByReducerDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.GroupByWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IgnoreErrorsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InitializeTableFromDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.InterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.Iterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetDevice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNext: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextAsOptional: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorGetNextSync: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.IteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LatencyStatsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LeakyReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ListDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ListSnapshotChunksDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LMDBDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.LoadDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MakeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapAndBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MatchingFilesDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ModelDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorInit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.NonSerializableDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OneShotIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptimizeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalFromValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalGetValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalHasValue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionalNone: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.OptionsDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PaddedBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelBatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelFilterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelInterleaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParallelMapDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ParseExampleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrefetchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.PrivateThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RandomDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RangeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RebatchDatasetV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ReduceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RegisterDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.RewriteDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SamplingDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SaveDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ScanDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SerializeIterator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SetStatsAggregatorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShardDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ShuffleDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SkipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SleepDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SlidingWindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotChunkDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SparseTensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.SqlDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TakeWhileDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TensorSliceDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TextLineDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.TfRecordDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ThreadPoolHandle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnbatchDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UncompressElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UniqueDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.UnwrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WindowOp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.WrapDatasetVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.data.ZipDataset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.CheckNumerics: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugIdentity: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNanCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.debugging.DebugNumericsSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclAllReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclBroadcast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.distribute.NcclReduce: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.AsString: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Cast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.Complex: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.dtypes.ToBool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustContrast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustHue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.AdjustSaturation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CombinedNonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.CropAndResizeGradImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeAndCropJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeBmp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeGif: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeImage: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DecodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.DrawBoundingBoxes: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpeg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodeJpegVariableQuality: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.EncodePng: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractGlimpse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractImagePatches: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ExtractJpegShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.HsvToRgb: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ImageProjectiveTransformV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NearestNeighbors: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.QuantizedResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RandomCrop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeArea: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubic: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBicubicGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinear: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeBilinearGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighbor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.RgbToHsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.SampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslate: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.ScaleAndTranslateGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCompressed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeCsv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeJsonExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodePaddedRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DecodeRaw: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DeserializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.DisableCopyOnRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.EncodeBase64: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FakeQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.FixedLengthRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.IdentityReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.LmdbReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.MatchingFiles: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PaddingFifoQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseSingleSequenceExample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ParseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.PriorityQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueClose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueDequeueUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueEnqueueMany: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueIsClosed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.QueueSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.RandomShuffleQueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumRecordsProduced: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRead: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReadUpTo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderReset: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderRestoreState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReaderSerializeState: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ReadFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeManySparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.SerializeTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilename: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.ShardedFilespec: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TextLineReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.TfRecordReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WholeFileReader: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.io.WriteFile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandedTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchCholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixBandPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixInverse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.BatchSvd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.CholeskyGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.ConjugateTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Cross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Det: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Eig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Einsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.EuclideanNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Inv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.LogMatrixDeterminant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Lu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagPartV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixDiagV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixExponential: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixLogarithm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSetDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.MatrixSolveLs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Qr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.SelfAdjointEig: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Solve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Sqrtm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Svd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TensorDiagPart: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.Transpose: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TriangularSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.linalg.TridiagonalSolve: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Abs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AccumulateN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Acosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Add: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.AddN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Angle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ApproximateEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ArgMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Asinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atan2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Atanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.BesselI1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Betainc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Bincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ceil: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ComplexAbs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Conj: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cosh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumprod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Cumsum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.CumulativeLogsumexp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DenseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Digamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Div: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.DivNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Equal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Erfc: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.erfinv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Exp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Expm1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Fact: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Floor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.FloorMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Greater: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.GreaterEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Igammac: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IgammaGradA: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Imag: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.InvertPermutation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsFinite: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsInf: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.IsNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Less: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LessEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Lgamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Log1p: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalAnd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalNot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.LogicalOr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Maximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Minimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Mul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.MulNoNan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Ndtri: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Neg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NextAfter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.NotEqual: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Polygamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.PopulationCount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Pow: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.QuantizedMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Real: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RealDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Reciprocal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.ReciprocalGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizationRangePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RequantizePerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Round: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Rsqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.RsqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sigmoid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SigmoidGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sinh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SobolSample: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Softplus: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SoftplusGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselJ1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK0e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselK1e: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY0: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.BesselY1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Dawsn: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Expint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelCos: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.FresnelSin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.special.Spence: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sqrt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SqrtGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Square: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.SquaredDifference: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Sub: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tan: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Tanh: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TanhGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.TruncateMod: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UniformQuantizedAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentMin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentProd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.UnsortedSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xdivy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlog1py: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Xlogy: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.math.Zeta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.AvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BiasAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTM: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.BlockLSTMGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ComputeAccidentalHits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Conv3dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcGreedyDecoder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CtcLoss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CTCLossV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNBackprop: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRnnParamsSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatDimMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DataFormatVecPermute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthToSpace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNative: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Dilation2dBackpropInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Elu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.EluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedBatchNormGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.GRUBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InTopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.InvGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.IsotonicRegression: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.L2Loss: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LeakyRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LogSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCell: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.LSTMBlockCellGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPool3dGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.MaxPoolWithArgmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.NthElement: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedAvgPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedBiasAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedInstanceNorm: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedMaxPool: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedRelu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.QuantizedReluX: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Relu6Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.ReluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Selu: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SeluGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.Softsign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SoftsignGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SpaceToDepth: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.TopK: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.UniformQuantizedConvolution: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Dequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannelGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Quantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.RequantizationRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.Requantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformDequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantizedDot: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.quantization.UniformRequantize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedGather: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedRange: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariant: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AllCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.AnonymousSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteRandomSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DeleteSeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.DummySeedGenerator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.experimental.StatelessShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.LogUniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.Multinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.NonDeterministicInts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomGammaGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomShuffle: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RecordInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngReadAndSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.RngSkip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulStandardNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatefulUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessMultinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomBinomial: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGamma: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomPoisson: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniform: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformInt: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessRandomUniformV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.TruncatedNormal: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.random.UniformCandidateSampler: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchFft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.BatchIfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Fft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.FftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Ifft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.IfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Irfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.IrfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft2d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.Rfft3d: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.signal.RfftNd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.DeserializeSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseAddGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseBincount: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConcat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCountSparseOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCross: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseCrossHashed: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRows: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReduceSumSparse: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReorder: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseReshape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMean: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSliceGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSoftmax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMaximum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSparseMinimum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToDense: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Join: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Lower: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ReduceJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.RegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexFullMatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StaticRegexReplace: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringFormat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringLength: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringNGrams: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.StringSplit: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Strip: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Substr: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucket: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketFast: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToHashBucketStrong: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.ToNumber: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeEncode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeScript: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnicodeTranscode: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.UnsortedSegmentJoin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.strings.Upper: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.AudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CloseSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryDbWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.CreateSummaryFileWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.FlushSummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.HistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ImportEvent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.MergeSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.ScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.StatsAggregatorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.SummaryWriter: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.TensorSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteAudioSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteGraphSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteHistogramSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteImageSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteRawProtoSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteScalarSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.summary.WriteSummary: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.AllToAll: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CollateTPUEmbeddingMemory: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompilationResult: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Compile: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CompileSucceededAssert: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ComputeDedupDataSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbedding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConfigureTPUEmbeddingMemory: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConnectTPUEmbeddingHosts: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ConvertToCooTensor: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.CrossReplicaSum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DTensorRestore: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingIntegerBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Execute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ExecuteTPUEmbeddingPartitioner: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.FinalizeTPUEmbedding: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.GlobalIterId: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueuePrelinearizedBuffer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.IsTPUEmbeddingInitialized: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.MergeDedupData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OrdinalSelector: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedDequeueV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueue: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.OutfeedEnqueueTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedCall: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PartitionedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.Prelinearize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.PrelinearizeTuple: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicatedOutput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ReplicateMetadata: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.SendTPUEmbeddingGradients: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ShutdownDistributedTPU: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.ShutdownTPUSystem: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.SplitDedupData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TpuHandleToProtoKey: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPUReshardVariables: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.TPURoundRobin: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.tpu.WorkerHeartbeat: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.AccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.BatchMatMul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ComputeBatchSize: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.DistributedSave: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.GenerateVocabRemapping: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.MergeV2Checkpoints: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.NegTrain: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.PreventGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorApplyGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceAccumulatorTakeGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdaMax: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyAddSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyPowerSign: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceConditionalAccumulator: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Restore: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.RestoreSlice: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.Save: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SaveSlices: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaFprint: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaOptimizer: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SdcaShrinkL1: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdadelta: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyAdagradDa: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SparseApplyRmsProp: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.SymbolicGradient: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.train.TileGrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.AssignVariableConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ConcatND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.ReadVariableSplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.SplitND: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaHostCompute: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvFromHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSendToHost: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreAdam: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreFtrl: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseCoreSgd: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: The name of this op, as known by TensorFlow core engine
OP_NAME - Static variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput: The name of this op, as known by TensorFlow core engine
opBuilder(String, String) - Method in interface org.tensorflow.op.Scope: Returns a builder to create a new Operation.
opBuilder(String, String, Scope) - Method in class org.tensorflow.EagerSession
opBuilder(String, String, Scope) - Method in interface org.tensorflow.ExecutionEnvironment: Returns a builder to create a new Operation.
opBuilder(String, String, Scope) - Method in class org.tensorflow.Graph: Returns a builder to add Operations to the Graph.
operand - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: Must be a Tensor of T.
Operand<T extends TType> - Interface in org.tensorflow: Interface implemented by operands of a TensorFlow operation.
Operands - Class in org.tensorflow.op: Utilities for manipulating operand related types and lists.
operation - Variable in class org.tensorflow.op.RawOp
operation(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name.
Operation - Interface in org.tensorflow: Performs computation on Tensors.
OperationAttributeInspector - Interface in org.tensorflow: Helper type for attribute getters, so we don't clutter the operation classes too much.
OperationBuilder - Interface in org.tensorflow: A builder for Operations.
operationOrThrow(String) - Method in class org.tensorflow.Graph: Returns the operation (node in the Graph) with the provided name, or throws IllegalArgumentException if there isn't one.
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 or one of its groups.
OpInputsMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op inputs accessor class.
OpMetadata - Annotation Type in org.tensorflow.op.annotation: An annotation to provide metadata about an op.
ops() - Method in class org.tensorflow.op.AudioOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.BitwiseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ClusterOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.CollectiveOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DataExperimentalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DataOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DebuggingOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DistributeOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.DtypesOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ImageOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.IoOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.LinalgOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.LinalgSparseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.MathOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.MathSpecialOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.NnOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.QuantizationOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RaggedOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RandomExperimentalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.RandomOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.ShapeOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SignalOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SparseOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.StringsOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.SummaryOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TpuOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.TrainOps: Get the parent Ops object.
ops() - Method in class org.tensorflow.op.XlaOps: Get the parent Ops object.
Ops - Class in org.tensorflow.op: An API for building operations as Ops
OpScope - Class in org.tensorflow.op: A Java implementation of Scope.
OpScope(ExecutionEnvironment) - Constructor for class org.tensorflow.op.OpScope: Create a new top-level scope.
optimizationConfigs - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The optimizationConfigs attribute
optimizationConfigs(String...) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(String...) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
optimizationConfigs(List<String>) - Static method in class org.tensorflow.op.data.OptimizeDataset: Sets the optimizationConfigs option.
optimizationConfigs(List<String>) - Method in class org.tensorflow.op.data.OptimizeDataset.Options: Sets the optimizationConfigs option.
optimizationsDefault - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying optimizations by default.
optimizationsDisabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user disabled optimizations.
optimizationsEnabled - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: A tf.string vector tf.Tensor identifying user enabled optimizations.
optimizeDataset(Operand<? extends TType>, Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>, OptimizeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset - Class in org.tensorflow.op.data: Creates a dataset by applying related optimizations to input_dataset.
OptimizeDataset(Operation) - Constructor for class org.tensorflow.op.data.OptimizeDataset
OptimizeDataset.Inputs - Class in org.tensorflow.op.data
OptimizeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptimizeDataset
optimizeSize - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, spend CPU/RAM to reduce size with no quality change.
optimizeSize(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the optimizeSize option.
optimizeSize(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the optimizeSize option.
optional - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The optional input
optional - Variable in class org.tensorflow.op.data.OptionalHasValue.Inputs: The optional input
optional() - Method in class org.tensorflow.op.data.IteratorGetNextAsOptional: Gets optional.
optional() - Method in class org.tensorflow.op.data.OptionalFromValue: Gets optional.
optional() - Method in class org.tensorflow.op.data.OptionalNone: Gets optional.
optionalFromValue(Iterable<Operand<?>>) - Method in class org.tensorflow.op.DataOps: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue - Class in org.tensorflow.op.data: Constructs an Optional variant from a tuple of tensors.
OptionalFromValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalFromValue
OptionalFromValue.Inputs - Class in org.tensorflow.op.data
optionalGetValue(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue - Class in org.tensorflow.op.data: Returns the value stored in an Optional variant or raises an error if none exists.
OptionalGetValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalGetValue
OptionalGetValue.Inputs - Class in org.tensorflow.op.data
optionalHasValue(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Returns true if and only if the given Optional variant has a value.
OptionalHasValue - Class in org.tensorflow.op.data: Returns true if and only if the given Optional variant has a value.
OptionalHasValue(Operation) - Constructor for class org.tensorflow.op.data.OptionalHasValue
OptionalHasValue.Inputs - Class in org.tensorflow.op.data
optionalNone() - Method in class org.tensorflow.op.DataOps: Creates an Optional variant with no value.
OptionalNone - Class in org.tensorflow.op.data: Creates an Optional variant with no value.
OptionalNone(Operation) - Constructor for class org.tensorflow.op.data.OptionalNone
OptionalNone.Inputs - Class in org.tensorflow.op.data
options() - Static method in class org.tensorflow.EagerSession: Returns an object that configures and builds a EagerSession with custom options.
optionsDataset(Operand<? extends TType>, String, List<Class<? extends TType>>, List<Shape>, OptionsDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset - Class in org.tensorflow.op.data: Creates a dataset by attaching tf.data.Options to input_dataset.
OptionsDataset(Operation) - Constructor for class org.tensorflow.op.data.OptionsDataset
OptionsDataset.Inputs - Class in org.tensorflow.op.data
OptionsDataset.Options - Class in org.tensorflow.op.data: Optional attributes for OptionsDataset
opType() - Element in annotation type org.tensorflow.op.annotation.OpMetadata: The type of the op in the TF runtime.
orderedMapClear(List<Class<? extends TType>>, OrderedMapClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
OrderedMapClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
OrderedMapClear(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapClear
OrderedMapClear.Inputs - Class in org.tensorflow.op.core
OrderedMapClear.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapClear
orderedMapIncompleteSize(List<Class<? extends TType>>, OrderedMapIncompleteSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize - Class in org.tensorflow.op.core: Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapIncompleteSize
OrderedMapIncompleteSize.Inputs - Class in org.tensorflow.op.core
OrderedMapIncompleteSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapIncompleteSize
orderedMapPeek(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapPeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified key.
OrderedMapPeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified key.
OrderedMapPeek(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapPeek
OrderedMapPeek.Inputs - Class in org.tensorflow.op.core
OrderedMapPeek.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapPeek
orderedMapSize(List<Class<? extends TType>>, OrderedMapSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
OrderedMapSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
OrderedMapSize(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapSize
OrderedMapSize.Inputs - Class in org.tensorflow.op.core
OrderedMapSize.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapSize
orderedMapStage(Operand<TInt64>, Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, OrderedMapStage.Options...) - Method in class org.tensorflow.op.Ops: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage - Class in org.tensorflow.op.core: Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapStage
OrderedMapStage.Inputs - Class in org.tensorflow.op.core
OrderedMapStage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapStage
orderedMapUnstage(Operand<TInt64>, Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstage.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage - Class in org.tensorflow.op.core: Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstage
OrderedMapUnstage.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstage.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstage
orderedMapUnstageNoKey(Operand<TInt32>, List<Class<? extends TType>>, OrderedMapUnstageNoKey.Options...) - Method in class org.tensorflow.op.Ops: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey - Class in org.tensorflow.op.core: Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey(Operation) - Constructor for class org.tensorflow.op.core.OrderedMapUnstageNoKey
OrderedMapUnstageNoKey.Inputs - Class in org.tensorflow.op.core
OrderedMapUnstageNoKey.Options - Class in org.tensorflow.op.core: Optional attributes for OrderedMapUnstageNoKey
orderingToken - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The orderingToken input
orderingToken - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The orderingToken input
ordinalSelector() - Method in class org.tensorflow.op.TpuOps: A TPU core selector Op.
OrdinalSelector - Class in org.tensorflow.op.tpu: A TPU core selector Op.
OrdinalSelector(Operation) - Constructor for class org.tensorflow.op.tpu.OrdinalSelector
OrdinalSelector.Inputs - Class in org.tensorflow.op.tpu
org.tensorflow - package org.tensorflow: Defines classes to build, save, load and execute TensorFlow models.
org.tensorflow.op - package org.tensorflow.op
org.tensorflow.op.annotation - package org.tensorflow.op.annotation
org.tensorflow.op.audio - package org.tensorflow.op.audio
org.tensorflow.op.bitwise - package org.tensorflow.op.bitwise
org.tensorflow.op.cluster - package org.tensorflow.op.cluster
org.tensorflow.op.collective - package org.tensorflow.op.collective
org.tensorflow.op.core - package org.tensorflow.op.core
org.tensorflow.op.data - package org.tensorflow.op.data
org.tensorflow.op.data.experimental - package org.tensorflow.op.data.experimental
org.tensorflow.op.debugging - package org.tensorflow.op.debugging
org.tensorflow.op.dtypes - package org.tensorflow.op.dtypes
org.tensorflow.op.image - package org.tensorflow.op.image
org.tensorflow.op.io - package org.tensorflow.op.io
org.tensorflow.op.linalg - package org.tensorflow.op.linalg
org.tensorflow.op.linalg.sparse - package org.tensorflow.op.linalg.sparse
org.tensorflow.op.math - package org.tensorflow.op.math
org.tensorflow.op.math.special - package org.tensorflow.op.math.special
org.tensorflow.op.nn - package org.tensorflow.op.nn
org.tensorflow.op.quantization - package org.tensorflow.op.quantization
org.tensorflow.op.ragged - package org.tensorflow.op.ragged
org.tensorflow.op.random - package org.tensorflow.op.random
org.tensorflow.op.signal - package org.tensorflow.op.signal
org.tensorflow.op.sparse - package org.tensorflow.op.sparse
org.tensorflow.op.strings - package org.tensorflow.op.strings
org.tensorflow.op.summary - package org.tensorflow.op.summary
org.tensorflow.op.tpu - package org.tensorflow.op.tpu
org.tensorflow.op.train - package org.tensorflow.op.train
org.tensorflow.op.xla - package org.tensorflow.op.xla
org.tensorflow.types - package org.tensorflow.types: Defines classes that represent TensorFlow tensor types.
org.tensorflow.types.annotation - package org.tensorflow.types.annotation
org.tensorflow.types.family - package org.tensorflow.types.family: Interfaces used to group tensor types in families that define a particular domain of data.
originalImage - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: 4-D with shape [batch, orig_height, orig_width, channels], The image tensor that was resized.
originalImage - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The originalImage input
originalInput - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The originalInput input
origInput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original input for fractional_max_pool
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original input tensor.
origInput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original input tensor.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The original input dimensions.
origInputShape - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: 1-D.
origInputTensorShape - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: Original input tensor shape for fractional_avg_pool
origOutput - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: Original output for fractional_max_pool
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The original output tensor.
origOutput - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The original output tensor.
otherArguments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: A list of tensors, typically values that were captured when building a closure for f.
otherArguments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArguments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Additional arguments to pass to f beyond those produced by input_dataset.
otherArguments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The otherArguments input
otherArguments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: A list of tensors, typically values that were captured when building a closure for predicate.
otherArgumentsLengths - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The otherArgumentsLengths attribute
out() - Method in class org.tensorflow.op.core.HistogramFixedWidth: Gets out.
out() - Method in class org.tensorflow.op.core.SetDiff1d: Gets out.
out() - Method in class org.tensorflow.op.dtypes.Complex: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMul: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Gets out.
out() - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.math.Cumprod: Gets out.
out() - Method in class org.tensorflow.op.math.Cumsum: Gets out.
out() - Method in class org.tensorflow.op.math.CumulativeLogsumexp: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Gets out.
out() - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdagradV2: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdam: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAdaMax: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyAddSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyPowerSign: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.ApplyRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdadelta: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyAdagradDa: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyFtrl: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyMomentum: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Gets out.
out() - Method in class org.tensorflow.op.train.SparseApplyRmsProp: Gets out.
outBackprop - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: Any number of dimensions.
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: 4-D with shape [batch, out_height, out_width, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: Backprop signal of shape [batch, out_depth, out_rows, out_cols, out_channels].
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: 4-D with shape based on data_format.
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 4-D with shape [batch, out_height, out_width, depth].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outBackprop - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: 4-D with shape [batch, height, width, channels].
outDeltaDenseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaDenseWeights.
outDeltaSparseWeights() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outDeltaSparseWeights.
outExampleStateData() - Method in class org.tensorflow.op.train.SdcaOptimizer: Gets outExampleStateData.
outfeedDequeue(Class<T>, Shape, OutfeedDequeue.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieves a single tensor from the computation outfeed.
OutfeedDequeue<T extends TType> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeue
OutfeedDequeue.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeue.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeue
outfeedDequeueTuple(List<Class<? extends TType>>, List<Shape>, OutfeedDequeueTuple.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTuple - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTuple
OutfeedDequeueTuple.Inputs - Class in org.tensorflow.op.tpu
OutfeedDequeueTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for OutfeedDequeueTuple
outfeedDequeueTupleV2(Operand<TInt32>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.TpuOps: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTupleV2 - Class in org.tensorflow.op.tpu: Retrieve multiple values from the computation outfeed.
OutfeedDequeueTupleV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueTupleV2
OutfeedDequeueTupleV2.Inputs - Class in org.tensorflow.op.tpu
outfeedDequeueV2(Operand<TInt32>, Class<T>, Shape) - Method in class org.tensorflow.op.TpuOps: Retrieves a single tensor from the computation outfeed.
OutfeedDequeueV2<T extends TType> - Class in org.tensorflow.op.tpu: Retrieves a single tensor from the computation outfeed.
OutfeedDequeueV2(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedDequeueV2
OutfeedDequeueV2.Inputs - Class in org.tensorflow.op.tpu
outfeedEnqueue(Operand<? extends TType>) - Method in class org.tensorflow.op.TpuOps: Enqueue a Tensor on the computation outfeed.
OutfeedEnqueue - Class in org.tensorflow.op.tpu: Enqueue a Tensor on the computation outfeed.
OutfeedEnqueue(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueue
OutfeedEnqueue.Inputs - Class in org.tensorflow.op.tpu
outfeedEnqueueTuple(Iterable<Operand<?>>) - Method in class org.tensorflow.op.TpuOps: Enqueue multiple Tensor values on the computation outfeed.
OutfeedEnqueueTuple - Class in org.tensorflow.op.tpu: Enqueue multiple Tensor values on the computation outfeed.
OutfeedEnqueueTuple(Operation) - Constructor for class org.tensorflow.op.tpu.OutfeedEnqueueTuple
OutfeedEnqueueTuple.Inputs - Class in org.tensorflow.op.tpu
outIdx - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.Unique.Inputs: The outIdx attribute
outIdx - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The outIdx attribute
outMax() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMax.
outMin() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets outMin.
output - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The output input
output() - Method in class org.tensorflow.op.audio.Mfcc: Gets output.
output() - Method in class org.tensorflow.op.collective.CollectivePermute: Gets output.
output() - Method in class org.tensorflow.op.core.All: Gets output.
output() - Method in class org.tensorflow.op.core.Any: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.BarrierReadySize: Gets output.
output() - Method in class org.tensorflow.op.core.BatchToSpace: Gets output.
output() - Method in class org.tensorflow.op.core.BatchToSpaceNd: Gets output.
output() - Method in class org.tensorflow.op.core.Bitcast: Gets output.
output() - Method in class org.tensorflow.op.core.BroadcastTo: Gets output.
output() - Method in class org.tensorflow.op.core.Bucketize: Gets output.
output() - Method in interface org.tensorflow.op.core.Case: Gets output.
output() - Method in class org.tensorflow.op.core.ClipByValue: Gets output.
output() - Method in class org.tensorflow.op.core.Concat: Gets output.
output() - Method in class org.tensorflow.op.core.Copy: Gets output.
output() - Method in class org.tensorflow.op.core.CopyHost: Gets output.
output() - Method in class org.tensorflow.op.core.CopyToMesh: Gets output.
output() - Method in class org.tensorflow.op.core.CopyToMeshGrad: Gets output.
output() - Method in class org.tensorflow.op.core.CountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.EditDistance: Gets output.
output() - Method in class org.tensorflow.op.core.Empty: Gets output.
output() - Method in class org.tensorflow.op.core.EnsureShape: Gets output.
output() - Method in class org.tensorflow.op.core.Enter: Gets output.
output() - Method in class org.tensorflow.op.core.Exit: Gets output.
output() - Method in class org.tensorflow.op.core.ExpandDims: Gets output.
output() - Method in class org.tensorflow.op.core.FakeParam: Gets output.
output() - Method in class org.tensorflow.op.core.Fill: Gets output.
output() - Method in class org.tensorflow.op.core.For: Gets output.
output() - Method in class org.tensorflow.op.core.Gather: Gets output.
output() - Method in class org.tensorflow.op.core.GatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.GuaranteeConst: Gets output.
output() - Method in class org.tensorflow.op.core.HostConst: Gets output.
output() - Method in class org.tensorflow.op.core.Identity: Gets output.
output() - Method in class org.tensorflow.op.core.IdentityN: Gets output.
output() - Method in interface org.tensorflow.op.core.If: Gets output.
output() - Method in class org.tensorflow.op.core.KthOrderStatistic: Gets output.
output() - Method in class org.tensorflow.op.core.LinSpace: Gets output.
output() - Method in class org.tensorflow.op.core.LookupTableSize: Gets output.
output() - Method in class org.tensorflow.op.core.LoopCond: Gets output.
output() - Method in class org.tensorflow.op.core.LowerBound: Gets output.
output() - Method in class org.tensorflow.op.core.MakeUnique: Gets output.
output() - Method in class org.tensorflow.op.core.MapDefun: Gets output.
output() - Method in class org.tensorflow.op.core.MapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.MapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Max: Gets output.
output() - Method in class org.tensorflow.op.core.Merge: Gets output.
output() - Method in class org.tensorflow.op.core.Min: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPad: Gets output.
output() - Method in class org.tensorflow.op.core.MirrorPadGrad: Gets output.
output() - Method in class org.tensorflow.op.core.NcclBroadcast: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.core.NextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.OneHot: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Gets output.
output() - Method in class org.tensorflow.op.core.OrderedMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.Pad: Gets output.
output() - Method in class org.tensorflow.op.core.ParallelConcat: Gets output.
output() - Method in class org.tensorflow.op.core.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.Placeholder: Gets output.
output() - Method in class org.tensorflow.op.core.PlaceholderWithDefault: Gets output.
output() - Method in class org.tensorflow.op.core.Prod: Gets output.
output() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets output.
output() - Method in class org.tensorflow.op.core.RandomIndexShuffle: Gets output.
output() - Method in class org.tensorflow.op.core.Range: Gets output.
output() - Method in class org.tensorflow.op.core.Rank: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAll: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceAny: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMax: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceMin: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceProd: Gets output.
output() - Method in class org.tensorflow.op.core.ReduceSum: Gets output.
output() - Method in class org.tensorflow.op.core.RefEnter: Gets output.
output() - Method in class org.tensorflow.op.core.RefExit: Gets output.
output() - Method in class org.tensorflow.op.core.RefIdentity: Gets output.
output() - Method in class org.tensorflow.op.core.RefMerge: Gets output.
output() - Method in class org.tensorflow.op.core.RefNextIteration: Gets output.
output() - Method in class org.tensorflow.op.core.RefSelect: Gets output.
output() - Method in class org.tensorflow.op.core.Relayout: Gets output.
output() - Method in class org.tensorflow.op.core.RelayoutLike: Gets output.
output() - Method in class org.tensorflow.op.core.RemoteCall: Gets output.
output() - Method in class org.tensorflow.op.core.Reshape: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceCountUpTo: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGather: Gets output.
output() - Method in class org.tensorflow.op.core.ResourceGatherNd: Gets output.
output() - Method in class org.tensorflow.op.core.Reverse: Gets output.
output() - Method in class org.tensorflow.op.core.ReverseSequence: Gets output.
output() - Method in class org.tensorflow.op.core.Roll: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNd: Gets output.
output() - Method in class org.tensorflow.op.core.ScatterNdNonAliasingAdd: Gets output.
output() - Method in class org.tensorflow.op.core.Select: Gets output.
output() - Method in class org.tensorflow.op.core.SetSize: Gets output.
output() - Method in class org.tensorflow.op.core.Shape: Gets output.
output() - Method in class org.tensorflow.op.core.ShapeN: Gets output.
output() - Method in class org.tensorflow.op.core.Size: Gets output.
output() - Method in class org.tensorflow.op.core.Slice: Gets output.
output() - Method in class org.tensorflow.op.core.Snapshot: Gets output.
output() - Method in class org.tensorflow.op.core.SpaceToBatchNd: Gets output.
output() - Method in class org.tensorflow.op.core.Split: Gets output.
output() - Method in class org.tensorflow.op.core.SplitV: Gets output.
output() - Method in class org.tensorflow.op.core.Squeeze: Gets output.
output() - Method in class org.tensorflow.op.core.Stack: Gets output.
output() - Method in class org.tensorflow.op.core.StackPush: Gets output.
output() - Method in class org.tensorflow.op.core.StageSize: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulPartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.core.StatefulWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessCase: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessIf: Gets output.
output() - Method in class org.tensorflow.op.core.StatelessWhile: Gets output.
output() - Method in class org.tensorflow.op.core.StochasticCastToInt: Gets output.
output() - Method in class org.tensorflow.op.core.StopGradient: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSlice: Gets output.
output() - Method in class org.tensorflow.op.core.StridedSliceGrad: Gets output.
output() - Method in class org.tensorflow.op.core.Sum: Gets output.
output() - Method in class org.tensorflow.op.core.TensorArraySize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorListConcatLists: Gets output.
output() - Method in class org.tensorflow.op.core.TensorMapSize: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdAdd: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMax: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdMin: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdSub: Gets output.
output() - Method in class org.tensorflow.op.core.TensorScatterNdUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Gets output.
output() - Method in class org.tensorflow.op.core.Tile: Gets output.
output() - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Gets output.
output() - Method in class org.tensorflow.op.core.UnravelIndex: Gets output.
output() - Method in class org.tensorflow.op.core.Unstack: Gets output.
output() - Method in class org.tensorflow.op.core.UpperBound: Gets output.
output() - Method in class org.tensorflow.op.core.VariableShape: Gets output.
output() - Method in interface org.tensorflow.op.core.While: Gets output.
output() - Method in class org.tensorflow.op.data.FilterByLastComponentDataset: Gets output.
output() - Method in class org.tensorflow.op.debugging.CheckNumerics: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugGradientRefIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugIdentity: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNanCount: Gets output.
output() - Method in class org.tensorflow.op.debugging.DebugNumericsSummary: Gets output.
output() - Method in class org.tensorflow.op.distribute.NcclBroadcast: Gets output.
output() - Method in class org.tensorflow.op.dtypes.AsString: Gets output.
output() - Method in class org.tensorflow.op.dtypes.ToBool: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustContrast: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustHue: Gets output.
output() - Method in class org.tensorflow.op.image.AdjustSaturation: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradBoxes: Gets output.
output() - Method in class org.tensorflow.op.image.CropAndResizeGradImage: Gets output.
output() - Method in class org.tensorflow.op.image.DrawBoundingBoxes: Gets output.
output() - Method in class org.tensorflow.op.image.HsvToRgb: Gets output.
output() - Method in class org.tensorflow.op.image.RandomCrop: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeBicubicGrad: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeBilinearGrad: Gets output.
output() - Method in class org.tensorflow.op.image.ResizeNearestNeighborGrad: Gets output.
output() - Method in class org.tensorflow.op.image.RgbToHsv: Gets output.
output() - Method in class org.tensorflow.op.image.ScaleAndTranslateGrad: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCompressed: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeCsv: Gets output.
output() - Method in class org.tensorflow.op.io.DecodePaddedRaw: Gets output.
output() - Method in class org.tensorflow.op.io.DecodeRaw: Gets output.
output() - Method in class org.tensorflow.op.io.EncodeBase64: Gets output.
output() - Method in class org.tensorflow.op.io.ParseTensor: Gets output.
output() - Method in class org.tensorflow.op.io.QueueSize: Gets output.
output() - Method in class org.tensorflow.op.linalg.BandedTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchCholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDeterminant: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixInverse: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.Cholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.CholeskyGrad: Gets output.
output() - Method in class org.tensorflow.op.linalg.Det: Gets output.
output() - Method in class org.tensorflow.op.linalg.Einsum: Gets output.
output() - Method in class org.tensorflow.op.linalg.EuclideanNorm: Gets output.
output() - Method in class org.tensorflow.op.linalg.Inv: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixDiagV3: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixExponential: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixLogarithm: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSetDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.MatrixSolveLs: Gets output.
output() - Method in class org.tensorflow.op.linalg.Solve: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky: Gets output.
output() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose: Gets output.
output() - Method in class org.tensorflow.op.linalg.Sqrtm: Gets output.
output() - Method in class org.tensorflow.op.linalg.TensorDiag: Gets output.
output() - Method in class org.tensorflow.op.linalg.TriangularSolve: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalMatMul: Gets output.
output() - Method in class org.tensorflow.op.linalg.TridiagonalSolve: Gets output.
output() - Method in class org.tensorflow.op.math.Angle: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMax: Gets output.
output() - Method in class org.tensorflow.op.math.ArgMin: Gets output.
output() - Method in class org.tensorflow.op.math.Conj: Gets output.
output() - Method in class org.tensorflow.op.math.DenseBincount: Gets output.
output() - Method in class org.tensorflow.op.math.Imag: Gets output.
output() - Method in class org.tensorflow.op.math.Mean: Gets output.
output() - Method in class org.tensorflow.op.math.NextAfter: Gets output.
output() - Method in class org.tensorflow.op.math.Real: Gets output.
output() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMean: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.SegmentSum: Gets output.
output() - Method in class org.tensorflow.op.math.UniformQuantizedAdd: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMax: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentMin: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentProd: Gets output.
output() - Method in class org.tensorflow.op.math.UnsortedSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.AvgPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.BiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.BiasAddGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3d: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.Conv3dBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthToSpace: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNative: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter: Gets output.
output() - Method in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput: Gets output.
output() - Method in class org.tensorflow.op.nn.Dilation2d: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.FusedPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets output.
output() - Method in class org.tensorflow.op.nn.L2Loss: Gets output.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalization: Gets output.
output() - Method in class org.tensorflow.op.nn.LocalResponseNormalizationGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3d: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPool3dGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGrad: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolGradWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.MaxPoolWithArgmax: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedAvgPool: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedBiasAdd: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2d: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DPerChannel: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Gets output.
output() - Method in class org.tensorflow.op.nn.QuantizedMaxPool: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToBatch: Gets output.
output() - Method in class org.tensorflow.op.nn.SpaceToDepth: Gets output.
output() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Gets output.
output() - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Gets output.
output() - Method in class org.tensorflow.op.quantization.Dequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.Quantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets output.
output() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets output.
output() - Method in class org.tensorflow.op.quantization.Requantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformDequantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantize: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantizedDot: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Gets output.
output() - Method in class org.tensorflow.op.quantization.UniformRequantize: Gets output.
output() - Method in class org.tensorflow.op.ragged.RaggedBincount: Gets output.
output() - Method in class org.tensorflow.op.random.experimental.StatelessShuffle: Gets output.
output() - Method in class org.tensorflow.op.random.Multinomial: Gets output.
output() - Method in class org.tensorflow.op.random.NonDeterministicInts: Gets output.
output() - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.RandomGammaGrad: Gets output.
output() - Method in class org.tensorflow.op.random.RandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.RandomShuffle: Gets output.
output() - Method in class org.tensorflow.op.random.RandomStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.RandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulStandardNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatefulUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessMultinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomBinomial: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomGamma: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomPoisson: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniform: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformInt: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformIntV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessRandomUniformV2: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.random.StatelessTruncatedNormalV2: Gets output.
output() - Method in class org.tensorflow.op.random.TruncatedNormal: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchFft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.BatchIfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Fft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.FftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Ifft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.IfftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Irfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.IrfftNd: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft2d: Gets output.
output() - Method in class org.tensorflow.op.signal.Rfft3d: Gets output.
output() - Method in class org.tensorflow.op.signal.RfftNd: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseBincount: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseAdd: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseDiv: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseDenseCwiseMul: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseReduceMax: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseReduceSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMean: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSum: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseSoftmax: Gets output.
output() - Method in class org.tensorflow.op.sparse.SparseTensorDenseAdd: Gets output.
output() - Method in class org.tensorflow.op.strings.Join: Gets output.
output() - Method in class org.tensorflow.op.strings.Lower: Gets output.
output() - Method in class org.tensorflow.op.strings.ReduceJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.RegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexFullMatch: Gets output.
output() - Method in class org.tensorflow.op.strings.StaticRegexReplace: Gets output.
output() - Method in class org.tensorflow.op.strings.StringFormat: Gets output.
output() - Method in class org.tensorflow.op.strings.StringLength: Gets output.
output() - Method in class org.tensorflow.op.strings.Strip: Gets output.
output() - Method in class org.tensorflow.op.strings.Substr: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucket: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketFast: Gets output.
output() - Method in class org.tensorflow.op.strings.ToHashBucketStrong: Gets output.
output() - Method in class org.tensorflow.op.strings.ToNumber: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeEncode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeScript: Gets output.
output() - Method in class org.tensorflow.op.strings.UnicodeTranscode: Gets output.
output() - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Gets output.
output() - Method in class org.tensorflow.op.strings.Upper: Gets output.
output() - Method in class org.tensorflow.op.tpu.AllToAll: Gets output.
output() - Method in class org.tensorflow.op.tpu.CompilationResult: Gets output.
output() - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Gets output.
output() - Method in class org.tensorflow.op.tpu.CrossReplicaSum: Gets output.
output() - Method in class org.tensorflow.op.tpu.EmbeddingActivations: Gets output.
output() - Method in class org.tensorflow.op.tpu.InfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.MergeDedupData: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeue: Gets output.
output() - Method in class org.tensorflow.op.tpu.OutfeedDequeueV2: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedCall: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.PartitionedOutput: Gets output.
output() - Method in class org.tensorflow.op.tpu.Prelinearize: Gets output.
output() - Method in class org.tensorflow.op.tpu.PrelinearizeTuple: Gets output.
output() - Method in class org.tensorflow.op.tpu.ReplicatedInput: Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.

Gets output.
output() - Method in class org.tensorflow.op.train.BatchMatMul: Gets output.
output() - Method in class org.tensorflow.op.train.PreventGradient: Gets output.
output() - Method in class org.tensorflow.op.train.SdcaFprint: Gets output.
output() - Method in class org.tensorflow.op.train.SymbolicGradient: Gets output.
output() - Method in class org.tensorflow.op.train.TileGrad: Gets output.
output() - Method in class org.tensorflow.op.xla.ConcatND: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaRecvFromHost: Gets output.
output() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData: Gets output.
output(int) - Method in class org.tensorflow.GraphOperation
output(int) - Method in interface org.tensorflow.Operation: Returns a symbolic handle to one of the tensors produced by this operation.
output(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or null if there is no such output.
output(String, Operand<?>) - Method in class org.tensorflow.Signature.Builder: Register a tensor as an output of the function.
Output<T extends TType> - Class in org.tensorflow: A symbolic handle to a tensor produced by an Operation.
outputBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputBackprop input
outputC - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputC input
outputC() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputC.
outputCBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputCBackprop input
outputDenseShape() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputDenseShape.
outputDenseShape() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputDenseShape.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputDenseValues.
outputDenseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputDenseValues.
outputDtype - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
outputDtype - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: Dtype of output.
outputDtype - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The outputDtype attribute
outputDtype - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The outputDtype attribute
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: Unicode encoding of the output strings.
outputEncoding - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The unicode encoding to use in the output.
outputFalse() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputFalse.
outputFalse() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputFalse.
outputH - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputH input
outputH() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets outputH.
outputHandle() - Method in class org.tensorflow.op.core.TensorListFromTensor: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListPushBack: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListResize: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatter: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListScatterIntoExistingList: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSetItem: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorListSplit: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapErase: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.core.TensorMapInsert: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.UnwrapDatasetVariant: Gets outputHandle.
outputHandle() - Method in class org.tensorflow.op.data.WrapDatasetVariant: Gets outputHandle.
outputHandles() - Method in class org.tensorflow.op.core.TensorListPushBackBatch: Gets outputHandles.
outputHBackprop - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The outputHBackprop input
outputIdxType - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The outputIdxType attribute
outputImage - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: 4-D with shape [batch, height, width, channels].
outputIndices - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: 2-D.
outputIndices() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputIndices.
outputIndices() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputIndices.
outputList(int, int) - Method in class org.tensorflow.GraphOperation
outputList(int, int) - Method in interface org.tensorflow.Operation: Returns symbolic handles to a list of tensors produced by this operation.
outputListLength(String) - Method in class org.tensorflow.GraphOperation
outputListLength(String) - Method in interface org.tensorflow.Operation: Returns the size of the list of Tensors produced by this operation.
outputMatrix() - Method in class org.tensorflow.op.linalg.LoadAndRemapMatrix: Gets outputMatrix.
outputMax() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMax.
outputMax() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMax.
outputMin() - Method in class org.tensorflow.op.core.QuantizedReshape: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizationRangePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.math.RequantizePerChannel: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Quantize: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizedConcat: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.RequantizationRange: Gets outputMin.
outputMin() - Method in class org.tensorflow.op.quantization.Requantize: Gets outputMin.
outputNames() - Method in class org.tensorflow.Signature: Returns the names of the outputs in this signature
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedGather: Gets outputNestedSplits.
outputNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedTensorFromVariant: Gets outputNestedSplits.
outputOrThrow(String) - Method in class org.tensorflow.Graph: Returns the output with the provided name, or throws IllegalArgumentException if there isn't one.
outputQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
outputQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization axis to use to quantize original data that input represents.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformRequantize.Options: Sets the outputQuantizationAxis option.
outputQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformRequantize: Sets the outputQuantizationAxis option.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in output.
outputQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization max value to quantize original data that input represents.
outputQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in output.
outputQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The new quantization min value to quantize original data that input represents.
outputRangeGiven - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: If True, given_y_min and given_y_min and given_y_max are used as the output range.
outputRangeGiven(Boolean) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the outputRangeGiven option.
outputRangeGiven(Boolean) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the outputRangeGiven option.
outputRef() - Method in class org.tensorflow.op.core.Assign: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.AssignAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.AssignSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterDiv: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMax: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMin: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterMul: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdAdd: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMax: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdMin: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterNdUpdate: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterSub: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.ScatterUpdate: Gets outputRef.
outputRef() - Method in class org.tensorflow.op.core.StridedSliceAssign: Gets outputRef.
outputRowSplits() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputRowSplits.
outputs - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The outputs of the corresponding Elu operation.
outputs - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The outputs of the corresponding Selu operation.
outputs() - Method in class org.tensorflow.op.core.DynamicPartition: Gets outputs.
outputs() - Method in class org.tensorflow.op.core.MlirPassthroughOp: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxArgs: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVars: Gets outputs.
outputs() - Method in class org.tensorflow.op.quantization.FakeQuantWithMinMaxVarsPerChannel: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.InfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTuple: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.ReplicatedOutput: Gets outputs.
outputs() - Method in class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.

Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.ReadVariableSplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.SplitND: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaHostCompute: Gets outputs.
outputs() - Method in class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations: Gets outputs.
outputScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) to use as scale factors when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) to use as scale factors when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) to use as scales when quantizing original data that output represents.
outputScales - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The float value(s) to use as new scale(s) to quantize original data that input represents.
outputsClass() - Element in annotation type org.tensorflow.op.annotation.OpInputsMetadata: The main op class.
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 1-D Tensor [new_height, new_width].
outputShape - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 1-D Tensor [new_height, new_width].
outputShape - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
outputShape() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseReshape: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputShape.
outputShape() - Method in class org.tensorflow.op.tpu.ComputeDedupDataTupleMask: Gets outputShape.
outputShapes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of shapes.
outputShapes - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The list of shapes being produced.
outputShapes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputShapes attribute
outputShapes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputShapes attribute
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes(List<Shape>) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(List<Shape>) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.Case.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.Case: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.If.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.If: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.core.While.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in interface org.tensorflow.op.core.While: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.IteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.IteratorFromStringHandle: Sets the outputShapes option.
outputShapes(Shape...) - Method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Options: Sets the outputShapes option.
outputShapes(Shape...) - Static method in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle: Sets the outputShapes option.
outputStream - Variable in class org.tensorflow.op.core.Print.Inputs: A string specifying the output stream or logging level to print to.
outputStream(String) - Method in class org.tensorflow.op.core.Print.Options: Sets the outputStream option.
outputStream(String) - Static method in class org.tensorflow.op.core.Print: Sets the outputStream option.
outputTrue() - Method in class org.tensorflow.op.core.RefSwitch: Gets outputTrue.
outputTrue() - Method in class org.tensorflow.op.core.SwitchCond: Gets outputTrue.
outputType - Variable in class org.tensorflow.op.image.ExtractJpegShape.Inputs: (Optional) The output type of the operation (int32 or int64).
outputType - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The outputType attribute
outputType - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputType - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the output values tensor.
outputTypes - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: List of TF types to use for the respective field in field_names.
outputTypes - Variable in class org.tensorflow.op.core.GetElementAtIndex.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
outputTypes - Variable in class org.tensorflow.op.data.AnonymousIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AnonymousMultiDeviceIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertCardinalityDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CacheDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ConcatenateDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DatasetToSingleElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.AutoShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ChooseFastestDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.LmdbDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.experimental.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterByLastComponentDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FinalizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IgnoreErrorsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.Iterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNext.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextAsOptional.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.IteratorGetNextSync.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LMDBDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MaxIntraOpParallelismDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.NonSerializableDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptimizeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionalGetValue.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The type list for the return values.
outputTypes - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.PrivateThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RebatchDatasetV2.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SkipDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotChunkDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SnapshotNestedDatasetReader.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UnbatchDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UncompressElement.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.UniqueDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The outputTypes attribute
outputTypes - Variable in class org.tensorflow.op.data.ZipDataset.Inputs: The outputTypes attribute
outputValueRowids() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets outputValueRowids.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedCross: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.DenseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseConcat: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCountSparseOutput: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCross: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseCrossHashed: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceMaxSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReduceSumSparse: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseReorder: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSlice: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMaximum: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSparseMinimum: Gets outputValues.
outputValues() - Method in class org.tensorflow.op.sparse.SparseSplit: Gets outputValues.
outputZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that output represents.
outputZeroPoints - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The int32 value(s) to use as new zero_point(s) to quantize original data that input represents.
outRowSplitsType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outRowSplitsType attribute
outTensors() - Method in class org.tensorflow.op.core.BatchFunction: Gets outTensors.
outType - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Shape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.Size.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.core.VariableShape.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.DecodePaddedRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.DecodeRaw.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: The type of the serialized tensor.
outType - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The dtype to use for serialization; the supported types are string (default) and variant.
outType - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The dtype to use for serialization; the supported types are string (default) and variant.
outType - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of output tensor that needs to be converted.
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The outType attribute
outType - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the output.
outType - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The numeric type to interpret each string in string_tensor as.
OUTTYPE - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The OUTTYPE attribute
outValuesType - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The outValuesType attribute
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPoolGrad: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the overlapping option.
overlapping(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Options: Sets the overlapping option.
overlapping(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPoolGrad: Sets the overlapping option.
overlaps - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 2-D float tensor of shape [num_boxes, num_boxes] representing the n-by-n box overlap values.
overlapThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding whether boxes overlap too.

P

p() - Method in class org.tensorflow.op.linalg.Lu: Gets p.
pad - Variable in class org.tensorflow.op.io.EncodeBase64.Inputs: Bool whether padding is applied at the ends.
pad(Boolean) - Method in class org.tensorflow.op.io.EncodeBase64.Options: Sets the pad option.
pad(Boolean) - Static method in class org.tensorflow.op.io.EncodeBase64: Sets the pad option.
pad(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Pads a tensor.
Pad<T extends TType> - Class in org.tensorflow.op.core: Pads a tensor.
Pad(Operation) - Constructor for class org.tensorflow.op.core.Pad
Pad.Inputs<T extends TType> - Class in org.tensorflow.op.core
paddedBatchDataset(Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TBool>, List<Shape>, PaddedBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset - Class in org.tensorflow.op.data: Creates a dataset that batches and pads batch_size elements from the input.
PaddedBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.PaddedBatchDataset
PaddedBatchDataset.Inputs - Class in org.tensorflow.op.data
PaddedBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PaddedBatchDataset
paddedShapes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of int64 tensors representing the desired padded shapes of the corresponding output components.
padding - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The padding attribute
padding - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: string from: "SAME", "VALID", or "EXPLICIT", indicating the type of padding algorithm to use.
padding - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: string from: "SAME", "VALID", or "EXPLICIT", indicating the type of padding algorithm to use.
paddingFifoQueue(List<Class<? extends TType>>, PaddingFifoQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements in first-in first-out order.
PaddingFifoQueue - Class in org.tensorflow.op.io: A queue that produces elements in first-in first-out order.
PaddingFifoQueue(Operation) - Constructor for class org.tensorflow.op.io.PaddingFifoQueue
PaddingFifoQueue.Inputs - Class in org.tensorflow.op.io
PaddingFifoQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PaddingFifoQueue
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The paddingList attribute
paddingList - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The paddingList attribute
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(Long...) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(Long...) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRelu: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBias: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu: Sets the paddingList option.
paddingList(List<Long>) - Method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options: Sets the paddingList option.
paddingList(List<Long>) - Static method in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Sets the paddingList option.
paddingMap - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The paddingMap attribute
paddingMap - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The paddingMap attribute
paddingMap(String...) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap(String...) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(String...) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddingMap(List<String>) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the paddingMap option.
paddingMap(List<String>) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the paddingMap option.
paddingMap(List<String>) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the paddingMap option.
paddingMap(List<String>) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the paddingMap option.
paddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The paddings input
paddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: 2-D with shape [M, 2], all values must be >= 0.
paddings - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A two-column matrix specifying the padding sizes.
paddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: 2-D tensor of non-negative integers with shape [2, 2].
paddings - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: Optional list of right paddings per dimension to strip from the final merged tensor.
paddings - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings - Variable in class org.tensorflow.op.xla.SplitND.Inputs: Optional list of right paddings per dimension of input tensor to apply before splitting.
paddings(Long...) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings(Long...) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(Long...) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.AssignVariableConcatND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.AssignVariableConcatND: Sets the paddings option.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.ConcatND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.ConcatND: Sets the paddings option.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.ReadVariableSplitND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.ReadVariableSplitND: Sets the paddings option.
paddings(List<Long>) - Method in class org.tensorflow.op.xla.SplitND.Options: Sets the paddings option.
paddings(List<Long>) - Static method in class org.tensorflow.op.xla.SplitND: Sets the paddings option.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The value to fill the area outside the specified diagonal band with.
paddingValue - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The number to fill the area outside the specified diagonal band with.
paddingValues - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: A list of scalars containing the padding value to use for each of the outputs.
padPerClass - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: If false, the output nmsed boxes, scores and classes are padded/clipped to max_total_size.
padPerClass(Boolean) - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression.Options: Sets the padPerClass option.
padPerClass(Boolean) - Static method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Sets the padPerClass option.
padToMaxOutputSize - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: If true, the output selected_indices is padded to be of length max_output_size.
padToMaxOutputSize(Boolean) - Method in class org.tensorflow.op.image.NonMaxSuppression.Options: Sets the padToMaxOutputSize option.
padToMaxOutputSize(Boolean) - Static method in class org.tensorflow.op.image.NonMaxSuppression: Sets the padToMaxOutputSize option.
padWidth - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The number of padding elements to add to each side of each sequence.
parallelBatchDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, ParallelBatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ParallelBatchDataset operation
ParallelBatchDataset - Class in org.tensorflow.op.data: The ParallelBatchDataset operation
ParallelBatchDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelBatchDataset
ParallelBatchDataset.Inputs - Class in org.tensorflow.op.data
ParallelBatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelBatchDataset
parallelConcat(Iterable<Operand<T>>, Shape) - Method in class org.tensorflow.op.Ops: Concatenates a list of N tensors along the first dimension.
ParallelConcat<T extends TType> - Class in org.tensorflow.op.core: Concatenates a list of N tensors along the first dimension.
ParallelConcat(Operation) - Constructor for class org.tensorflow.op.core.ParallelConcat
ParallelConcat.Inputs<T extends TType> - Class in org.tensorflow.op.core
parallelCopy - Variable in class org.tensorflow.op.data.BatchDataset.Inputs: The parallelCopy attribute
parallelCopy - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The parallelCopy attribute
parallelCopy - Variable in class org.tensorflow.op.data.ParallelBatchDataset.Inputs: The parallelCopy attribute
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.BatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.BatchDataset: Sets the parallelCopy option.
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.PaddedBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.PaddedBatchDataset: Sets the parallelCopy option.
parallelCopy(Boolean) - Method in class org.tensorflow.op.data.ParallelBatchDataset.Options: Sets the parallelCopy option.
parallelCopy(Boolean) - Static method in class org.tensorflow.op.data.ParallelBatchDataset: Sets the parallelCopy option.
parallelDynamicStitch(Iterable<Operand<TInt32>>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch<T extends TType> - Class in org.tensorflow.op.core: Interleave the values from the data tensors into a single tensor.
ParallelDynamicStitch(Operation) - Constructor for class org.tensorflow.op.core.ParallelDynamicStitch
ParallelDynamicStitch.Inputs<T extends TType> - Class in org.tensorflow.op.core
parallelFilterDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelFilterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset containing elements of input_dataset matching predicate.
ParallelFilterDataset - Class in org.tensorflow.op.data: Creates a dataset containing elements of input_dataset matching predicate.
ParallelFilterDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelFilterDataset
ParallelFilterDataset.Inputs - Class in org.tensorflow.op.data
ParallelFilterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelFilterDataset
parallelInterleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that applies f to the outputs of input_dataset.
parallelInterleaveDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelInterleaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParallelInterleaveDataset
ParallelInterleaveDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelInterleaveDataset
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParallelInterleaveDataset.Inputs - Class in org.tensorflow.op.data
ParallelInterleaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelInterleaveDataset
parallelIterations - Variable in class org.tensorflow.op.core.Enter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The number of iterations allowed to run in parallel.
parallelIterations - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: The parallelIterations attribute
parallelIterations - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: The parallelIterations attribute
parallelIterations(Long) - Method in class org.tensorflow.op.core.Enter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.Enter: Sets the parallelIterations option.
parallelIterations(Long) - Method in class org.tensorflow.op.core.RefEnter.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in class org.tensorflow.op.core.RefEnter: Sets the parallelIterations option.
parallelIterations(Long) - Method in class org.tensorflow.op.core.While.Options: Sets the parallelIterations option.
parallelIterations(Long) - Static method in interface org.tensorflow.op.core.While: Sets the parallelIterations option.
parallelMapDataset(Operand<? extends TType>, Iterable<Operand<?>>, Operand<TInt64>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ParallelMapDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset - Class in org.tensorflow.op.data: Creates a dataset that applies f to the outputs of input_dataset.
ParallelMapDataset(Operation) - Constructor for class org.tensorflow.op.data.ParallelMapDataset
ParallelMapDataset.Inputs - Class in org.tensorflow.op.data
ParallelMapDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParallelMapDataset
parameterizedTruncatedNormal(Operand<? extends TNumber>, Operand, Operand, Operand, Operand, ParameterizedTruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
ParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.ParameterizedTruncatedNormal
ParameterizedTruncatedNormal.Inputs - Class in org.tensorflow.op.random
ParameterizedTruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for ParameterizedTruncatedNormal
parameters - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: A list of tensors, one for each embedding table, containing the initial embedding table parameters to use in embedding lookups.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of parameters used in the Adadelta optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: Value of parameters used in the Adagrad Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: Value of parameters used in the Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of parameters used in the ADAM optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: Value of parameters used in the centered RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: Value of parameters used in the frequency estimator optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: Value of parameters used in the FTRL optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of parameters used in the MDL Adagrad Light optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: Value of parameters used in the Momentum optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: Value of parameters used in the proximal Adagrad optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The parameters input
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: Value of parameters used in the RMSProp optimization algorithm.
parameters - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: Value of parameters used in the stochastic gradient descent optimization algorithm.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Gets parameters.
parameters() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Gets parameters.
params - Variable in class org.tensorflow.op.core.Gather.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The tensor from which to gather values.
params - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The params input
params - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The params input
params - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The params input
params() - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Gets params.
paramsBackprop() - Method in class org.tensorflow.op.nn.CudnnRNNBackprop: Gets paramsBackprop.
paramsDenseValues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The flat_values for the params RaggedTensor.
paramsNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The nested_row_splits tensors that define the row-partitioning for the params RaggedTensor input.
paramsSize() - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Gets paramsSize.
parseExample(Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>, Long, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Shape>) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample - Class in org.tensorflow.op.io: Transforms a vector of tf.Example protos (as strings) into typed tensors.
ParseExample(Operation) - Constructor for class org.tensorflow.op.io.ParseExample
ParseExample.Inputs - Class in org.tensorflow.op.io
parseExampleDataset(Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataOps: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
parseExampleDataset(Operand<? extends TType>, Operand<TInt64>, Iterable<Operand<?>>, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>, List<Class<? extends TType>>, List<Shape>, ParseExampleDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset - Class in org.tensorflow.op.data.experimental: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset - Class in org.tensorflow.op.data: Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features.
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ParseExampleDataset
ParseExampleDataset(Operation) - Constructor for class org.tensorflow.op.data.ParseExampleDataset
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data.experimental
ParseExampleDataset.Inputs - Class in org.tensorflow.op.data
ParseExampleDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ParseExampleDataset
ParseExampleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ParseExampleDataset
parseSequenceExample(Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TString>, Operand<TBool>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TNumber>>, ParseSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample - Class in org.tensorflow.op.io: Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.
ParseSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSequenceExample
ParseSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSequenceExample
parseSingleExample(Operand<TString>, Iterable<Operand<?>>, Long, List<String>, List<String>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.IoOps: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample - Class in org.tensorflow.op.io: Transforms a tf.Example proto (as a string) into typed tensors.
ParseSingleExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleExample
ParseSingleExample.Inputs - Class in org.tensorflow.op.io
parseSingleSequenceExample(Operand<TString>, Operand<TString>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<TString>>, Iterable<Operand<?>>, Operand<TString>, List<Class<? extends TType>>, List<Class<? extends TType>>, List<Class<? extends TType>>, ParseSingleSequenceExample.Options...) - Method in class org.tensorflow.op.IoOps: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample - Class in org.tensorflow.op.io: Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
ParseSingleSequenceExample(Operation) - Constructor for class org.tensorflow.op.io.ParseSingleSequenceExample
ParseSingleSequenceExample.Inputs - Class in org.tensorflow.op.io
ParseSingleSequenceExample.Options - Class in org.tensorflow.op.io: Optional attributes for ParseSingleSequenceExample
parseTensor(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.IoOps: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor<T extends TType> - Class in org.tensorflow.op.io: Transforms a serialized tensorflow.TensorProto proto into a Tensor.
ParseTensor(Operation) - Constructor for class org.tensorflow.op.io.ParseTensor
ParseTensor.Inputs - Class in org.tensorflow.op.io
partialPivoting - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Whether to apply partial pivoting.
partialPivoting(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the partialPivoting option.
partialPivoting(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the partialPivoting option.
partitionDims - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: A list of integers describing how each dimension is partitioned.
partitionDims - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: A list of integers describing how each dimension is partitioned.
partitionedCall(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
partitionedCall(Iterable<Operand<?>>, Operand<TInt32>, List<Class<? extends TType>>, ConcreteFunction, PartitionedCall.Options...) - Method in class org.tensorflow.op.TpuOps: Calls a function placed on a specified TPU device.
PartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
PartitionedCall - Class in org.tensorflow.op.tpu: Calls a function placed on a specified TPU device.
PartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.PartitionedCall
PartitionedCall(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedCall
PartitionedCall.Inputs - Class in org.tensorflow.op.core
PartitionedCall.Inputs - Class in org.tensorflow.op.tpu
PartitionedCall.Options - Class in org.tensorflow.op.core: Optional attributes for PartitionedCall
PartitionedCall.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedCall
partitionedInput(Iterable<Operand<T>>, List<Long>, PartitionedInput.Options...) - Method in class org.tensorflow.op.TpuOps: An op that groups a list of partitioned inputs together.
PartitionedInput<T extends TType> - Class in org.tensorflow.op.tpu: An op that groups a list of partitioned inputs together.
PartitionedInput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedInput
PartitionedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
PartitionedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for PartitionedInput
partitionedOutput(Operand<T>, Long, List<Long>) - Method in class org.tensorflow.op.TpuOps: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput<T extends TType> - Class in org.tensorflow.op.tpu: An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned outputs outside the XLA computation.
PartitionedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.PartitionedOutput
PartitionedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
partitions - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: Any shape.
patches() - Method in class org.tensorflow.op.core.ExtractVolumePatches: Gets patches.
patches() - Method in class org.tensorflow.op.image.ExtractImagePatches: Gets patches.
path - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The path input
path - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The path we should write snapshots to / read snapshots from.
pattern - Variable in class org.tensorflow.op.io.MatchingFiles.Inputs: Shell wildcard pattern(s).
pattern - Variable in class org.tensorflow.op.strings.RegexFullMatch.Inputs: A scalar string tensor containing the regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The regular expression to be matched in the input strings.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexFullMatch.Inputs: The regular expression to match the input.
pattern - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The regular expression to match the input.
patterns - Variable in class org.tensorflow.op.data.experimental.MatchingFilesDataset.Inputs: The patterns input
patterns - Variable in class org.tensorflow.op.data.MatchingFilesDataset.Inputs: The patterns input
perm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The perm input
perm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The perm input
permutation - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: A fill-in reducing permutation matrix.
perturbSingular - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The perturbSingular attribute
perturbSingular(Boolean) - Method in class org.tensorflow.op.linalg.TridiagonalSolve.Options: Sets the perturbSingular option.
perturbSingular(Boolean) - Static method in class org.tensorflow.op.linalg.TridiagonalSolve: Sets the perturbSingular option.
placeholder - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, at each placeholder in the template a subsequent tensor summary will be inserted.
placeholder(Class<T>, Placeholder.Options...) - Method in class org.tensorflow.op.Ops: A placeholder op for a value that will be fed into the computation.
placeholder(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the placeholder option.
placeholder(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the placeholder option.
Placeholder<T extends TType> - Class in org.tensorflow.op.core: A placeholder op for a value that will be fed into the computation.
Placeholder(Operation) - Constructor for class org.tensorflow.op.core.Placeholder
Placeholder.Inputs - Class in org.tensorflow.op.core
Placeholder.Options - Class in org.tensorflow.op.core: Optional attributes for Placeholder
placeholderWithDefault(Operand<T>, Shape) - Method in class org.tensorflow.op.Ops: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault<T extends TType> - Class in org.tensorflow.op.core: A placeholder op that passes through input when its output is not fed.
PlaceholderWithDefault(Operation) - Constructor for class org.tensorflow.op.core.PlaceholderWithDefault
PlaceholderWithDefault.Inputs<T extends TType> - Class in org.tensorflow.op.core
points - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Matrix of shape (n, d).
points - Variable in class org.tensorflow.op.image.NearestNeighbors.Inputs: Matrix of shape (n, d).
polygamma(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma<T extends TNumber> - Class in org.tensorflow.op.math: Compute the polygamma function \(\psi^{(n)}(x)\).
Polygamma(Operation) - Constructor for class org.tensorflow.op.math.Polygamma
Polygamma.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: Pooling ratio for each dimension of value, currently only supports row and col dimension and should be >= 1.0.
poolingRatio - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: Pooling ratio for each dimension of value, currently only supports row and col dimension and should be >= 1.0.
populationCount(Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes element-wise population count (a.k.a.
PopulationCount - Class in org.tensorflow.op.math: Computes element-wise population count (a.k.a.
PopulationCount(Operation) - Constructor for class org.tensorflow.op.math.PopulationCount
PopulationCount.Inputs - Class in org.tensorflow.op.math
pos - Variable in class org.tensorflow.op.strings.Substr.Inputs: Scalar defining the position of first character in each substring
postNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: An integer.
postNmsTopn(Long) - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Options: Sets the postNmsTopn option.
postNmsTopn(Long) - Static method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Sets the postNmsTopn option.
pow(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the power of one value to another.
Pow<T extends TType> - Class in org.tensorflow.op.math: Computes the power of one value to another.
Pow(Operation) - Constructor for class org.tensorflow.op.math.Pow
Pow.Inputs<T extends TType> - Class in org.tensorflow.op.math
precision - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The post-decimal precision to use for floating point numbers.
precision() - Method in class org.tensorflow.op.nn.InTopK: Gets precision.
precision(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the precision option.
precision(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the precision option.
pred - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: A scalar that specifies which output port will receive data.
pred - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: A scalar that specifies which output port will receive data.
predictions - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size x classes tensor.
preferredShard - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Index of file to open first if multiple files match file_pattern.
preferredShard(Long) - Method in class org.tensorflow.op.train.RestoreSlice.Options: Sets the preferredShard option.
preferredShard(Long) - Static method in class org.tensorflow.op.train.RestoreSlice: Sets the preferredShard option.
prefetchDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, PrefetchDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset - Class in org.tensorflow.op.data: Creates a dataset that asynchronously prefetches elements from input_dataset.
PrefetchDataset(Operation) - Constructor for class org.tensorflow.op.data.PrefetchDataset
PrefetchDataset.Inputs - Class in org.tensorflow.op.data
PrefetchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for PrefetchDataset
prefetchInputElements - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The prefetchInputElements input
prefetchInputElements - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Determines the number of iterators to prefetch, allowing buffers to warm up and data to be pre-fetched without blocking the main thread.
prefix - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The prefix input
prefix - Variable in class org.tensorflow.op.train.Restore.Inputs: Must have a single element.
prefix - Variable in class org.tensorflow.op.train.Save.Inputs: Must have a single element.
prelinearize(Operand<? extends TType>, Prelinearize.Options...) - Method in class org.tensorflow.op.TpuOps: An op which linearizes one Tensor value to an opaque variant tensor.
Prelinearize - Class in org.tensorflow.op.tpu: An op which linearizes one Tensor value to an opaque variant tensor.
Prelinearize(Operation) - Constructor for class org.tensorflow.op.tpu.Prelinearize
Prelinearize.Inputs - Class in org.tensorflow.op.tpu
Prelinearize.Options - Class in org.tensorflow.op.tpu: Optional attributes for Prelinearize
prelinearizeTuple(Iterable<Operand<?>>, List<Shape>, PrelinearizeTuple.Options...) - Method in class org.tensorflow.op.TpuOps: An op which linearizes multiple Tensor values to an opaque variant tensor.
PrelinearizeTuple - Class in org.tensorflow.op.tpu: An op which linearizes multiple Tensor values to an opaque variant tensor.
PrelinearizeTuple(Operation) - Constructor for class org.tensorflow.op.tpu.PrelinearizeTuple
PrelinearizeTuple.Inputs - Class in org.tensorflow.op.tpu
PrelinearizeTuple.Options - Class in org.tensorflow.op.tpu: Optional attributes for PrelinearizeTuple
preNmsTopn - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A scalar int tensor for the number of top scoring boxes to be used as input.
prepend(Shape<TInt32>, int) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Shape<TInt64>, long) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Shape<TInt32>, int) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Shape<TInt64>, long) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the first dimension followed by the dimensions of the shape.
prepend(Scope, Operand<T>, Operand<T>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
prepend(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand that represents a new shape containing the dimensions of an operand representing the shape to prepend, followed by the dimensions of an operand representing a shape.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: Scalar, if true then repeated labels are collapsed prior to the CTC calculation.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CtcLoss.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CtcLoss: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Method in class org.tensorflow.op.nn.CTCLossV2.Options: Sets the preprocessCollapseRepeated option.
preprocessCollapseRepeated(Boolean) - Static method in class org.tensorflow.op.nn.CTCLossV2: Sets the preprocessCollapseRepeated option.
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The preserveCardinality attribute
preserveCardinality - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The preserveCardinality attribute
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.experimental.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.experimental.ScanDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapAndBatchDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapAndBatchDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the preserveCardinality option.
preserveCardinality(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the preserveCardinality option.
preserveShortSequences - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The preserveShortSequences attribute
preventGradient(Operand<T>, PreventGradient.Options...) - Method in class org.tensorflow.op.TrainOps: An identity op that triggers an error if a gradient is requested.
PreventGradient<T extends TType> - Class in org.tensorflow.op.train: An identity op that triggers an error if a gradient is requested.
PreventGradient(Operation) - Constructor for class org.tensorflow.op.train.PreventGradient
PreventGradient.Inputs<T extends TType> - Class in org.tensorflow.op.train
PreventGradient.Options - Class in org.tensorflow.op.train: Optional attributes for PreventGradient
print(Operand<TString>, Print.Options...) - Method in class org.tensorflow.op.Ops: Prints a string scalar.
Print - Class in org.tensorflow.op.core: Prints a string scalar.
Print(Operation) - Constructor for class org.tensorflow.op.core.Print
Print.Inputs - Class in org.tensorflow.op.core
Print.Options - Class in org.tensorflow.op.core: Optional attributes for Print
priorityQueue(List<Class<? extends TType>>, List<Shape>, PriorityQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that produces elements sorted by the first component value.
PriorityQueue - Class in org.tensorflow.op.io: A queue that produces elements sorted by the first component value.
PriorityQueue(Operation) - Constructor for class org.tensorflow.op.io.PriorityQueue
PriorityQueue.Inputs - Class in org.tensorflow.op.io
PriorityQueue.Options - Class in org.tensorflow.op.io: Optional attributes for PriorityQueue
privateThreadPoolDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
privateThreadPoolDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.PrivateThreadPoolDataset
PrivateThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.PrivateThreadPoolDataset
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
PrivateThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
probs - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The probs input
probs - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The probability of success for the binomial distribution.
processingMode - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The processingMode input
prod(Operand<T>, Operand<? extends TNumber>, Prod.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
Prod<T extends TType> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
Prod(Operation) - Constructor for class org.tensorflow.op.core.Prod
Prod.Inputs<T extends TType> - Class in org.tensorflow.op.core
Prod.Options - Class in org.tensorflow.op.core: Optional attributes for Prod
product() - Method in class org.tensorflow.op.linalg.Cross: Gets product.
product() - Method in class org.tensorflow.op.linalg.MatMul: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseMatMul: Gets product.
product() - Method in class org.tensorflow.op.sparse.SparseTensorDenseMatMul: Gets product.
program() - Method in class org.tensorflow.op.tpu.Compile: Gets program.
programKey - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The programKey input
programKey - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The programKey input
programKey - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The programKey input
progressive - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If True, create a JPEG that loads progressively (coarse to fine).
progressive(Boolean) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the progressive option.
progressive(Boolean) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the progressive option.
protocol - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The protocol input
protocol - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The protocol input
protoKeys() - Method in class org.tensorflow.op.tpu.TpuHandleToProtoKey: Gets protoKeys.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the pseudoRandom option.
pseudoRandom(Boolean) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the pseudoRandom option.

Q

q - Variable in class org.tensorflow.op.math.Zeta.Inputs: The q input
q() - Method in class org.tensorflow.op.linalg.Qr: Gets q.
qr(Operand<T>, Qr.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the QR decompositions of one or more matrices.
Qr<T extends TType> - Class in org.tensorflow.op.linalg: Computes the QR decompositions of one or more matrices.
Qr(Operation) - Constructor for class org.tensorflow.op.linalg.Qr
Qr.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Qr.Options - Class in org.tensorflow.op.linalg: Optional attributes for Qr
quality - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Quality of the compression from 0 to 100 (higher is better and slower).
quality - Variable in class org.tensorflow.op.image.EncodeJpegVariableQuality.Inputs: An int quality to encode to.
quality(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the quality option.
quality(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the quality option.
quantization - Variable in class org.tensorflow.op.Ops
quantizationAxis - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
quantizationAxis(Long) - Method in class org.tensorflow.op.core.UniformQuantizedClipByValue.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.core.UniformQuantizedClipByValue: Sets the quantizationAxis option.
quantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformDequantize.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformDequantize: Sets the quantizationAxis option.
quantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantize.Options: Sets the quantizationAxis option.
quantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantize: Sets the quantizationAxis option.
quantizationConfigHigh - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigHigh attribute
quantizationConfigLow - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigLow attribute
quantizationConfigNumBuckets - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The quantizationConfigNumBuckets attribute
quantizationMaxVal - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The quantization max value that was used when operand was quantized.
quantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The quantization max value that was used when input was quantized.
quantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The quantization max value to quantize input.
quantizationMinVal - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The quantization min value that was used when operand was quantized.
quantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The quantization min value that was used when input was quantized.
quantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The quantization min value to quantize input.
QuantizationOps - Class in org.tensorflow.op: An API for building quantization operations as Ops
quantize(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<T>, Quantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize(Operation) - Constructor for class org.tensorflow.op.quantization.Quantize
Quantize.Inputs - Class in org.tensorflow.op.quantization
Quantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for Quantize
quantizeAndDequantize(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantize<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantize
QuantizeAndDequantize.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantize
quantizeAndDequantizeV3(Operand<T>, Operand<T>, Operand<T>, Operand<TInt32>, QuantizeAndDequantizeV3.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV3(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV3
QuantizeAndDequantizeV3.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV3.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV3
quantizeAndDequantizeV4(Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4.Options...) - Method in class org.tensorflow.op.QuantizationOps: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4<T extends TNumber> - Class in org.tensorflow.op.quantization: Quantizes then dequantizes a tensor.
QuantizeAndDequantizeV4(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4
QuantizeAndDequantizeV4.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4
quantizeAndDequantizeV4Grad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, QuantizeAndDequantizeV4Grad.Options...) - Method in class org.tensorflow.op.QuantizationOps: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad<T extends TNumber> - Class in org.tensorflow.op.quantization: Returns the gradient of QuantizeAndDequantizeV4.
QuantizeAndDequantizeV4Grad(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad
QuantizeAndDequantizeV4Grad.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
QuantizeAndDequantizeV4Grad.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizeAndDequantizeV4Grad
quantizedAdd(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd<V extends TNumber> - Class in org.tensorflow.op.math: Returns x + y element-wise, working on quantized buffers.
QuantizedAdd(Operation) - Constructor for class org.tensorflow.op.math.QuantizedAdd
QuantizedAdd.Inputs - Class in org.tensorflow.op.math
quantizedAvgPool(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool<T extends TNumber> - Class in org.tensorflow.op.nn: Produces the average pool of the input tensor for quantized types.
QuantizedAvgPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedAvgPool
QuantizedAvgPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
quantizedBatchNormWithGlobalNormalization(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Class, Float, Boolean) - Method in class org.tensorflow.op.NnOps: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization - Class in org.tensorflow.op.nn: Quantized Batch normalization.
QuantizedBatchNormWithGlobalNormalization(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization
QuantizedBatchNormWithGlobalNormalization.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
quantizedBiasAdd(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.NnOps: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd<V extends TNumber> - Class in org.tensorflow.op.nn: Adds Tensor 'bias' to Tensor 'input' for Quantized types.
QuantizedBiasAdd(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedBiasAdd
QuantizedBiasAdd.Inputs - Class in org.tensorflow.op.nn
quantizedConcat(Operand<TInt32>, Iterable<Operand<T>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>) - Method in class org.tensorflow.op.QuantizationOps: Concatenates quantized tensors along one dimension.
QuantizedConcat<T extends TType> - Class in org.tensorflow.op.quantization: Concatenates quantized tensors along one dimension.
QuantizedConcat(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedConcat
QuantizedConcat.Inputs<T extends TType> - Class in org.tensorflow.op.quantization
quantizedConv2d(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2d.Options...) - Method in class org.tensorflow.op.NnOps: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d<V extends TNumber> - Class in org.tensorflow.op.nn: Computes a 2D convolution given quantized 4D input and filter tensors.
QuantizedConv2d(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2d
QuantizedConv2d.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2d.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2d
quantizedConv2DAndRelu(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndRelu operation
QuantizedConv2DAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRelu operation
QuantizedConv2DAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRelu
QuantizedConv2DAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRelu
quantizedConv2DAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndReluAndRequantize operation
QuantizedConv2DAndReluAndRequantize<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndReluAndRequantize operation
QuantizedConv2DAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize
QuantizedConv2DAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndReluAndRequantize
quantizedConv2DAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DAndRequantize operation
QuantizedConv2DAndRequantize<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DAndRequantize operation
QuantizedConv2DAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DAndRequantize
QuantizedConv2DAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DAndRequantize
quantizedConv2DPerChannel(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DPerChannel.Options...) - Method in class org.tensorflow.op.NnOps: Computes QuantizedConv2D per channel.
QuantizedConv2DPerChannel<V extends TNumber> - Class in org.tensorflow.op.nn: Computes QuantizedConv2D per channel.
QuantizedConv2DPerChannel(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DPerChannel
QuantizedConv2DPerChannel.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DPerChannel.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DPerChannel
quantizedConv2DWithBias(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBias.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBias operation
QuantizedConv2DWithBias<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBias operation
QuantizedConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBias
QuantizedConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBias
quantizedConv2DWithBiasAndRelu(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndRelu operation
QuantizedConv2DWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRelu operation
QuantizedConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu
QuantizedConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRelu
quantizedConv2DWithBiasAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndReluAndRequantize operation
QuantizedConv2DWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndReluAndRequantize operation
QuantizedConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize
QuantizedConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndReluAndRequantize
quantizedConv2DWithBiasAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedConv2DWithBiasAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasAndRequantize operation
QuantizedConv2DWithBiasAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasAndRequantize operation
QuantizedConv2DWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize
QuantizedConv2DWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasAndRequantize
quantizedConv2DWithBiasSignedSumAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize<X extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
quantizedConv2DWithBiasSumAndRelu(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedConv2DWithBiasSumAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSumAndRelu operation
QuantizedConv2DWithBiasSumAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndRelu operation
QuantizedConv2DWithBiasSumAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu
QuantizedConv2DWithBiasSumAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndRelu
quantizedConv2DWithBiasSumAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class<X>, List<Long>, String, QuantizedConv2DWithBiasSumAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: The QuantizedConv2DWithBiasSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSumAndReluAndRequantize<X extends TNumber> - Class in org.tensorflow.op.nn: The QuantizedConv2DWithBiasSumAndReluAndRequantize operation
QuantizedConv2DWithBiasSumAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize
QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedConv2DWithBiasSumAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedConv2DWithBiasSumAndReluAndRequantize
quantizedDepthwiseConv2D(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2D.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D.
QuantizedDepthwiseConv2D<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D.
QuantizedDepthwiseConv2D(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2D
QuantizedDepthwiseConv2D.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2D.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2D
quantizedDepthwiseConv2DWithBias(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBias.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias.
QuantizedDepthwiseConv2DWithBias<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias.
QuantizedDepthwiseConv2DWithBias(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias
QuantizedDepthwiseConv2DWithBias.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBias.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBias
quantizedDepthwiseConv2DWithBiasAndRelu(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias and Relu.
QuantizedDepthwiseConv2DWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias and Relu.
QuantizedDepthwiseConv2DWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu
QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndRelu.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndRelu
quantizedDepthwiseConv2DWithBiasAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, List<Long>, String, QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.NnOps: Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.nn: Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.nn
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
quantizedInstanceNorm(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, QuantizedInstanceNorm.Options...) - Method in class org.tensorflow.op.NnOps: Quantized Instance normalization.
QuantizedInstanceNorm<T extends TNumber> - Class in org.tensorflow.op.nn: Quantized Instance normalization.
QuantizedInstanceNorm(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedInstanceNorm
QuantizedInstanceNorm.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
QuantizedInstanceNorm.Options - Class in org.tensorflow.op.nn: Optional attributes for QuantizedInstanceNorm
quantizedMatMul(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, Class<W>, QuantizedMatMul.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul<V extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b.
QuantizedMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMul
QuantizedMatMul.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMul.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMul
quantizedMatMulWithBias(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBias.Options...) - Method in class org.tensorflow.op.LinalgOps: Performs a quantized matrix multiplication of a by the matrix b with bias add.
QuantizedMatMulWithBias<W extends TNumber> - Class in org.tensorflow.op.linalg: Performs a quantized matrix multiplication of a by the matrix b with bias add.
QuantizedMatMulWithBias(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBias
QuantizedMatMulWithBias.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBias.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBias
quantizedMatMulWithBiasAndDequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: The QuantizedMatMulWithBiasAndDequantize operation
QuantizedMatMulWithBiasAndDequantize<W extends TNumber> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndDequantize operation
QuantizedMatMulWithBiasAndDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize
QuantizedMatMulWithBiasAndDequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndDequantize
quantizedMatMulWithBiasAndRelu(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>, QuantizedMatMulWithBiasAndRelu.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu fusion.
QuantizedMatMulWithBiasAndRelu<V extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu fusion.
QuantizedMatMulWithBiasAndRelu(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu
QuantizedMatMulWithBiasAndRelu.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndRelu.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndRelu
quantizedMatMulWithBiasAndReluAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndReluAndRequantize.Options...) - Method in class org.tensorflow.op.LinalgOps: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu and requantize fusion.
QuantizedMatMulWithBiasAndReluAndRequantize<W extends TNumber> - Class in org.tensorflow.op.linalg: Perform a quantized matrix multiplication of a by the matrix b with bias add and relu and requantize fusion.
QuantizedMatMulWithBiasAndReluAndRequantize(Operation) - Constructor for class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize
QuantizedMatMulWithBiasAndReluAndRequantize.Inputs - Class in org.tensorflow.op.linalg
QuantizedMatMulWithBiasAndReluAndRequantize.Options - Class in org.tensorflow.op.linalg: Optional attributes for QuantizedMatMulWithBiasAndReluAndRequantize
quantizedMatMulWithBiasAndRequantize(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<W>, QuantizedMatMulWithBiasAndRequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: The QuantizedMatMulWithBiasAndRequantize operation
QuantizedMatMulWithBiasAndRequantize<W extends TNumber> - Class in org.tensorflow.op.quantization: The QuantizedMatMulWithBiasAndRequantize operation
QuantizedMatMulWithBiasAndRequantize(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize
QuantizedMatMulWithBiasAndRequantize.Inputs - Class in org.tensorflow.op.quantization
QuantizedMatMulWithBiasAndRequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for QuantizedMatMulWithBiasAndRequantize
quantizedMaxPool(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, List<Long>, List<Long>, String) - Method in class org.tensorflow.op.NnOps: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool<T extends TNumber> - Class in org.tensorflow.op.nn: Produces the max pool of the input tensor for quantized types.
QuantizedMaxPool(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedMaxPool
QuantizedMaxPool.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
quantizedMul(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class<V>) - Method in class org.tensorflow.op.MathOps: Returns x * y element-wise, working on quantized buffers.
QuantizedMul<V extends TNumber> - Class in org.tensorflow.op.math: Returns x * y element-wise, working on quantized buffers.
QuantizedMul(Operation) - Constructor for class org.tensorflow.op.math.QuantizedMul
QuantizedMul.Inputs - Class in org.tensorflow.op.math
quantizeDownAndShrinkRange(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.QuantizationOps: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange - Class in org.tensorflow.op.quantization: Convert the quantized 'input' tensor into a lower-precision 'output', using the actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly.
QuantizeDownAndShrinkRange(Operation) - Constructor for class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange
QuantizeDownAndShrinkRange.Inputs - Class in org.tensorflow.op.quantization
quantizedRelu(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear: max(features, 0)
QuantizedRelu(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu
QuantizedRelu.Inputs - Class in org.tensorflow.op.nn
quantizedRelu6(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6 - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear 6: min(max(features, 0), 6)
QuantizedRelu6(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedRelu6
QuantizedRelu6.Inputs - Class in org.tensorflow.op.nn
quantizedReluX(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.NnOps: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX - Class in org.tensorflow.op.nn: Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
QuantizedReluX(Operation) - Constructor for class org.tensorflow.op.nn.QuantizedReluX
QuantizedReluX.Inputs - Class in org.tensorflow.op.nn
quantizedReshape(Operand<T>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape<T extends TType> - Class in org.tensorflow.op.core: Reshapes a quantized tensor as per the Reshape op.
QuantizedReshape(Operation) - Constructor for class org.tensorflow.op.core.QuantizedReshape
QuantizedReshape.Inputs<T extends TType> - Class in org.tensorflow.op.core
quantizedResizeBilinear(Operand<T>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, QuantizedResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear<T extends TNumber> - Class in org.tensorflow.op.image: Resize quantized images to size using quantized bilinear interpolation.
QuantizedResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.QuantizedResizeBilinear
QuantizedResizeBilinear.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
QuantizedResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for QuantizedResizeBilinear
query - Variable in class org.tensorflow.op.data.experimental.SqlDataset.Inputs: A SQL query to execute.
query - Variable in class org.tensorflow.op.data.SqlDataset.Inputs: A SQL query to execute.
queueClose(Operand<? extends TType>, QueueClose.Options...) - Method in class org.tensorflow.op.IoOps: Closes the given queue.
QueueClose - Class in org.tensorflow.op.io: Closes the given queue.
QueueClose(Operation) - Constructor for class org.tensorflow.op.io.QueueClose
QueueClose.Inputs - Class in org.tensorflow.op.io
QueueClose.Options - Class in org.tensorflow.op.io: Optional attributes for QueueClose
queueDequeue(Operand<? extends TType>, List<Class<? extends TType>>, QueueDequeue.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue - Class in org.tensorflow.op.io: Dequeues a tuple of one or more tensors from the given queue.
QueueDequeue(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeue
QueueDequeue.Inputs - Class in org.tensorflow.op.io
QueueDequeue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeue
queueDequeueMany(Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueMany.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueMany
QueueDequeueMany.Inputs - Class in org.tensorflow.op.io
QueueDequeueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueMany
queueDequeueUpTo(Operand<? extends TType>, Operand<TInt32>, List<Class<? extends TType>>, QueueDequeueUpTo.Options...) - Method in class org.tensorflow.op.IoOps: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo - Class in org.tensorflow.op.io: Dequeues n tuples of one or more tensors from the given queue.
QueueDequeueUpTo(Operation) - Constructor for class org.tensorflow.op.io.QueueDequeueUpTo
QueueDequeueUpTo.Inputs - Class in org.tensorflow.op.io
QueueDequeueUpTo.Options - Class in org.tensorflow.op.io: Optional attributes for QueueDequeueUpTo
queueEnqueue(Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueue.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue - Class in org.tensorflow.op.io: Enqueues a tuple of one or more tensors in the given queue.
QueueEnqueue(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueue
QueueEnqueue.Inputs - Class in org.tensorflow.op.io
QueueEnqueue.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueue
queueEnqueueMany(Operand<? extends TType>, Iterable<Operand<?>>, QueueEnqueueMany.Options...) - Method in class org.tensorflow.op.IoOps: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany - Class in org.tensorflow.op.io: Enqueues zero or more tuples of one or more tensors in the given queue.
QueueEnqueueMany(Operation) - Constructor for class org.tensorflow.op.io.QueueEnqueueMany
QueueEnqueueMany.Inputs - Class in org.tensorflow.op.io
QueueEnqueueMany.Options - Class in org.tensorflow.op.io: Optional attributes for QueueEnqueueMany
queueHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Queue, with string work items.
queueHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Queue, with string work items.
queueIsClosed(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns true if queue is closed.
QueueIsClosed - Class in org.tensorflow.op.io: Returns true if queue is closed.
QueueIsClosed(Operation) - Constructor for class org.tensorflow.op.io.QueueIsClosed
QueueIsClosed.Inputs - Class in org.tensorflow.op.io
queueSize(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Computes the number of elements in the given queue.
QueueSize - Class in org.tensorflow.op.io: Computes the number of elements in the given queue.
QueueSize(Operation) - Constructor for class org.tensorflow.op.io.QueueSize
QueueSize.Inputs - Class in org.tensorflow.op.io

R

r - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The r input
r() - Method in class org.tensorflow.op.linalg.Qr: Gets r.
r() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets r.
R - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The R attribute
r0() - Method in class org.tensorflow.op.core.BroadcastDynamicShape: Gets r0.
r0() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r0.
r1() - Method in class org.tensorflow.op.core.BroadcastGradientArgs: Gets r1.
ragged - Variable in class org.tensorflow.op.Ops
raggedBincount(Operand<TInt64>, Operand<T>, Operand<T>, Operand, RaggedBincount.Options...) - Method in class org.tensorflow.op.RaggedOps: Counts the number of occurrences of each value in an integer array.
RaggedBincount - Class in org.tensorflow.op.ragged: Counts the number of occurrences of each value in an integer array.
RaggedBincount(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedBincount
RaggedBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.ragged
RaggedBincount.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedBincount
raggedCountSparseOutput(Operand<TInt64>, Operand<? extends TNumber>, Operand, Boolean, RaggedCountSparseOutput.Options...) - Method in class org.tensorflow.op.RaggedOps: Performs sparse-output bin counting for a ragged tensor input.
RaggedCountSparseOutput - Class in org.tensorflow.op.ragged: Performs sparse-output bin counting for a ragged tensor input.
RaggedCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCountSparseOutput
RaggedCountSparseOutput.Inputs - Class in org.tensorflow.op.ragged
RaggedCountSparseOutput.Options - Class in org.tensorflow.op.ragged: Optional attributes for RaggedCountSparseOutput
raggedCross(Iterable<Operand<?>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, String, Boolean, Long, Long, Class<T>, Class) - Method in class org.tensorflow.op.RaggedOps: Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
RaggedCross<T extends TType,U extends TNumber> - Class in org.tensorflow.op.ragged: Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.
RaggedCross(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedCross
RaggedCross.Inputs - Class in org.tensorflow.op.ragged
raggedFillEmptyRows(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.RaggedOps: The RaggedFillEmptyRows operation
RaggedFillEmptyRows<T extends TType> - Class in org.tensorflow.op.ragged: The RaggedFillEmptyRows operation
RaggedFillEmptyRows(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRows
RaggedFillEmptyRows.Inputs<T extends TType> - Class in org.tensorflow.op.ragged
raggedFillEmptyRowsGrad(Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.RaggedOps: The RaggedFillEmptyRowsGrad operation
RaggedFillEmptyRowsGrad<T extends TType> - Class in org.tensorflow.op.ragged: The RaggedFillEmptyRowsGrad operation
RaggedFillEmptyRowsGrad(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad
RaggedFillEmptyRowsGrad.Inputs<T extends TType> - Class in org.tensorflow.op.ragged
raggedGather(Iterable<Operand<T>>, Operand, Operand<? extends TNumber>, Long) - Method in class org.tensorflow.op.RaggedOps: Gather ragged slices from params axis 0 according to indices.
RaggedGather<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged: Gather ragged slices from params axis 0 according to indices.
RaggedGather(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedGather
RaggedGather.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged
raggedKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedKeys attribute
raggedKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
raggedKeys(String...) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(String...) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
raggedKeys(List<String>) - Method in class org.tensorflow.op.data.ParseExampleDataset.Options: Sets the raggedKeys option.
raggedKeys(List<String>) - Static method in class org.tensorflow.op.data.ParseExampleDataset: Sets the raggedKeys option.
RaggedOps - Class in org.tensorflow.op: An API for building ragged operations as Ops
raggedRange(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.RaggedOps: Returns a RaggedTensor containing the specified sequences of numbers.
raggedRange(Operand<T>, Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.RaggedOps: Returns a RaggedTensor containing the specified sequences of numbers.
RaggedRange - Class in org.tensorflow.op.ragged: Returns a RaggedTensor containing the specified sequences of numbers.
RaggedRange(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedRange
RaggedRange.Inputs<T extends TNumber> - Class in org.tensorflow.op.ragged
raggedRowSplits - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The row_splits tensor for each RaggedTensor input.
raggedRowSplits() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedRowSplits.
raggedSplitsTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedSplitsTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedSplitTypes attribute
raggedSplitTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_ragged types; the data types of row_splits in each Feature given in ragged_keys (where num_ragged = sparse_keys.size()).
raggedTensorFromVariant(Operand<? extends TType>, Long, Long, Class) - Method in class org.tensorflow.op.RaggedOps: Decodes a variant Tensor into a RaggedTensor.
raggedTensorFromVariant(Operand<? extends TType>, Long, Long, Class, Class<T>) - Method in class org.tensorflow.op.RaggedOps: Decodes a variant Tensor into a RaggedTensor.
RaggedTensorFromVariant<T extends TNumber,U extends TType> - Class in org.tensorflow.op.ragged: Decodes a variant Tensor into a RaggedTensor.
RaggedTensorFromVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorFromVariant
RaggedTensorFromVariant.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToSparse(Iterable<Operand<? extends TNumber>>, Operand) - Method in class org.tensorflow.op.RaggedOps: Converts a RaggedTensor into a SparseTensor with the same values.
RaggedTensorToSparse - Class in org.tensorflow.op.ragged: Converts a RaggedTensor into a SparseTensor with the same values.
RaggedTensorToSparse(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToSparse
RaggedTensorToSparse.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToTensor(Operand<? extends TNumber>, Operand, Operand, Iterable<Operand<? extends TNumber>>, List<String>) - Method in class org.tensorflow.op.RaggedOps: Create a dense tensor from a ragged tensor, possibly altering its shape.
RaggedTensorToTensor - Class in org.tensorflow.op.ragged: Create a dense tensor from a ragged tensor, possibly altering its shape.
RaggedTensorToTensor(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToTensor
RaggedTensorToTensor.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToVariant(Iterable<Operand<? extends TNumber>>, Operand<? extends TType>, Boolean) - Method in class org.tensorflow.op.RaggedOps: Encodes a RaggedTensor into a variant Tensor.
RaggedTensorToVariant - Class in org.tensorflow.op.ragged: Encodes a RaggedTensor into a variant Tensor.
RaggedTensorToVariant(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariant
RaggedTensorToVariant.Inputs - Class in org.tensorflow.op.ragged
raggedTensorToVariantGradient(Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.RaggedOps: Helper used to compute the gradient for RaggedTensorToVariant.
RaggedTensorToVariantGradient - Class in org.tensorflow.op.ragged: Helper used to compute the gradient for RaggedTensorToVariant.
RaggedTensorToVariantGradient(Operation) - Constructor for class org.tensorflow.op.ragged.RaggedTensorToVariantGradient
RaggedTensorToVariantGradient.Inputs - Class in org.tensorflow.op.ragged
raggedValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each RaggedTensor input.
raggedValues() - Method in class org.tensorflow.op.io.ParseExample: Gets raggedValues.
raggedValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The raggedValuesTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: The raggedValueTypes attribute
raggedValueTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_ragged types; the data types of data in each Feature given in ragged_keys (where num_ragged = sparse_keys.size()).
ramBudget - Variable in class org.tensorflow.op.data.ModelDataset.Inputs: The ramBudget attribute
ramBudget(Long) - Method in class org.tensorflow.op.data.ModelDataset.Options: Sets the ramBudget option.
ramBudget(Long) - Static method in class org.tensorflow.op.data.ModelDataset: Sets the ramBudget option.
random - Variable in class org.tensorflow.op.Ops
randomCrop(Operand<T>, Operand<TInt64>, RandomCrop.Options...) - Method in class org.tensorflow.op.ImageOps: Randomly crop image.
RandomCrop<T extends TNumber> - Class in org.tensorflow.op.image: Randomly crop image.
RandomCrop(Operation) - Constructor for class org.tensorflow.op.image.RandomCrop
RandomCrop.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
RandomCrop.Options - Class in org.tensorflow.op.image: Optional attributes for RandomCrop
randomDataset(Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a Dataset that returns pseudorandom numbers.
randomDataset(Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, RandomDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that returns pseudorandom numbers.
RandomDataset - Class in org.tensorflow.op.data.experimental: Creates a Dataset that returns pseudorandom numbers.
RandomDataset - Class in org.tensorflow.op.data: Creates a Dataset that returns pseudorandom numbers.
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RandomDataset
RandomDataset(Operation) - Constructor for class org.tensorflow.op.data.RandomDataset
RandomDataset.Inputs - Class in org.tensorflow.op.data.experimental
RandomDataset.Inputs - Class in org.tensorflow.op.data
RandomDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RandomDataset
RandomExperimentalOps - Class in org.tensorflow.op: An API for building random.experimental operations as Ops
randomGamma(Operand<? extends TNumber>, Operand, RandomGamma.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma - Class in org.tensorflow.op.random: Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma(Operation) - Constructor for class org.tensorflow.op.random.RandomGamma
RandomGamma.Inputs - Class in org.tensorflow.op.random
RandomGamma.Options - Class in org.tensorflow.op.random: Optional attributes for RandomGamma
randomGammaGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.RandomOps: Computes the derivative of a Gamma random sample w.r.t.
RandomGammaGrad<T extends TNumber> - Class in org.tensorflow.op.random: Computes the derivative of a Gamma random sample w.r.t.
RandomGammaGrad(Operation) - Constructor for class org.tensorflow.op.random.RandomGammaGrad
RandomGammaGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.random
randomIndexShuffle(Operand<T>, Operand<? extends TNumber>, Operand<T>, RandomIndexShuffle.Options...) - Method in class org.tensorflow.op.Ops: Outputs the position of value in a permutation of [0, ..., max_index].
RandomIndexShuffle<T extends TNumber> - Class in org.tensorflow.op.core: Outputs the position of value in a permutation of [0, ..., max_index].
RandomIndexShuffle(Operation) - Constructor for class org.tensorflow.op.core.RandomIndexShuffle
RandomIndexShuffle.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
RandomIndexShuffle.Options - Class in org.tensorflow.op.core: Optional attributes for RandomIndexShuffle
RandomOps - Class in org.tensorflow.op: An API for building random operations as Ops
randomPoisson(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>, RandomPoisson.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
randomPoisson(Operand<? extends TNumber>, Operand<? extends TNumber>, RandomPoisson.Options[]) - Method in class org.tensorflow.op.RandomOps: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson<V extends TNumber> - Class in org.tensorflow.op.random: Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.RandomPoisson
RandomPoisson.Inputs - Class in org.tensorflow.op.random
RandomPoisson.Options - Class in org.tensorflow.op.random: Optional attributes for RandomPoisson
randomShuffle(Operand<T>, RandomShuffle.Options...) - Method in class org.tensorflow.op.RandomOps: Randomly shuffles a tensor along its first dimension.
RandomShuffle<T extends TType> - Class in org.tensorflow.op.random: Randomly shuffles a tensor along its first dimension.
RandomShuffle(Operation) - Constructor for class org.tensorflow.op.random.RandomShuffle
RandomShuffle.Inputs<T extends TType> - Class in org.tensorflow.op.random
RandomShuffle.Options - Class in org.tensorflow.op.random: Optional attributes for RandomShuffle
randomShuffleQueue(List<Class<? extends TType>>, RandomShuffleQueue.Options...) - Method in class org.tensorflow.op.IoOps: A queue that randomizes the order of elements.
RandomShuffleQueue - Class in org.tensorflow.op.io: A queue that randomizes the order of elements.
RandomShuffleQueue(Operation) - Constructor for class org.tensorflow.op.io.RandomShuffleQueue
RandomShuffleQueue.Inputs - Class in org.tensorflow.op.io
RandomShuffleQueue.Options - Class in org.tensorflow.op.io: Optional attributes for RandomShuffleQueue
randomStandardNormal(Operand<? extends TNumber>, Class, RandomStandardNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
RandomStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
RandomStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.RandomStandardNormal
RandomStandardNormal.Inputs - Class in org.tensorflow.op.random
RandomStandardNormal.Options - Class in org.tensorflow.op.random: Optional attributes for RandomStandardNormal
randomUniform(Operand<? extends TNumber>, Class, RandomUniform.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
RandomUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
RandomUniform(Operation) - Constructor for class org.tensorflow.op.random.RandomUniform
RandomUniform.Inputs - Class in org.tensorflow.op.random
RandomUniform.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniform
randomUniformInt(Operand<? extends TNumber>, Operand, Operand, RandomUniformInt.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
RandomUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
RandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.RandomUniformInt
RandomUniformInt.Inputs - Class in org.tensorflow.op.random
RandomUniformInt.Options - Class in org.tensorflow.op.random: Optional attributes for RandomUniformInt
range(Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Creates a sequence of numbers.
Range<T extends TNumber> - Class in org.tensorflow.op.core: Creates a sequence of numbers.
Range(Operation) - Constructor for class org.tensorflow.op.core.Range
Range.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
rangeDataset(Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RangeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset with a range of values.
RangeDataset - Class in org.tensorflow.op.data: Creates a dataset with a range of values.
RangeDataset(Operation) - Constructor for class org.tensorflow.op.data.RangeDataset
RangeDataset.Inputs - Class in org.tensorflow.op.data
RangeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RangeDataset
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The rangeGiven attribute
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The rangeGiven attribute
rangeGiven - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the range is given or should be determined from the input tensor.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the rangeGiven option.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the rangeGiven option.
rangeGiven(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the rangeGiven option.
rangeGiven(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the rangeGiven option.
rangeMax - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rangeMax - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: The sampler will sample integers from the interval [0, range_max).
rank - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The rank input
rank(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the rank of a tensor.
Rank - Class in org.tensorflow.op.core: Returns the rank of a tensor.
Rank(Operation) - Constructor for class org.tensorflow.op.core.Rank
Rank.Inputs - Class in org.tensorflow.op.core
rate - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing the sample rate.
rate - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A tensor in which each scalar is a "rate" parameter describing the associated poisson distribution.
rates - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: Must be: [1, rate_rows, rate_cols, 1].
rates - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The input stride for atrous morphological dilation.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
rates - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
ratio - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: Downscaling ratio.
ratio - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: Downscaling ratio.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the ratio option.
ratio(Long) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the ratio option.
ratio(Long) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the ratio option.
ratioDenominator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioDenominator input
ratioNumerator - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The ratioNumerator input
RawCustomGradient - Interface in org.tensorflow.op: A custom gradient for an op of unspecified type.
RawOp - Class in org.tensorflow.op: A base class for Op implementations that are backed by a single Operation.
RawOp(Operation, String) - Constructor for class org.tensorflow.op.RawOp: Constructor.
RawOpInputs<T extends RawOp> - Class in org.tensorflow.op: A base class for operation input accessors.
RawOpInputs(T, GraphOperation, Collection<String>) - Constructor for class org.tensorflow.op.RawOpInputs
RawTensor - Class in org.tensorflow: A tensor which memory has not been mapped to a data space directly accessible from the JVM.
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The readerFuncOtherArgs input
readerFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerFuncOtherArgs input
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumRecordsProduced.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRead.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReadUpTo.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderReset.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Handle to a Reader.
readerHandle - Variable in class org.tensorflow.op.io.ReaderSerializeState.Inputs: Handle to a Reader.
readerHandle() - Method in class org.tensorflow.op.io.FixedLengthRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.IdentityReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.LmdbReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.TextLineReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.TfRecordReader: Gets readerHandle.
readerHandle() - Method in class org.tensorflow.op.io.WholeFileReader: Gets readerHandle.
readerNumRecordsProduced(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced - Class in org.tensorflow.op.io: Returns the number of records this Reader has produced.
ReaderNumRecordsProduced(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumRecordsProduced
ReaderNumRecordsProduced.Inputs - Class in org.tensorflow.op.io
readerNumWorkUnitsCompleted(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted - Class in org.tensorflow.op.io: Returns the number of work units this Reader has finished processing.
ReaderNumWorkUnitsCompleted(Operation) - Constructor for class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted
ReaderNumWorkUnitsCompleted.Inputs - Class in org.tensorflow.op.io
readerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The readerPrefix attribute
readerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the readerPrefix option.
readerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the readerPrefix option.
readerRead(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Returns the next record (key, value pair) produced by a Reader.
ReaderRead - Class in org.tensorflow.op.io: Returns the next record (key, value pair) produced by a Reader.
ReaderRead(Operation) - Constructor for class org.tensorflow.op.io.ReaderRead
ReaderRead.Inputs - Class in org.tensorflow.op.io
readerReadUpTo(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo - Class in org.tensorflow.op.io: Returns up to num_records (key, value) pairs produced by a Reader.
ReaderReadUpTo(Operation) - Constructor for class org.tensorflow.op.io.ReaderReadUpTo
ReaderReadUpTo.Inputs - Class in org.tensorflow.op.io
readerReset(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Restore a Reader to its initial clean state.
ReaderReset - Class in org.tensorflow.op.io: Restore a Reader to its initial clean state.
ReaderReset(Operation) - Constructor for class org.tensorflow.op.io.ReaderReset
ReaderReset.Inputs - Class in org.tensorflow.op.io
readerRestoreState(Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.IoOps: Restore a reader to a previously saved state.
ReaderRestoreState - Class in org.tensorflow.op.io: Restore a reader to a previously saved state.
ReaderRestoreState(Operation) - Constructor for class org.tensorflow.op.io.ReaderRestoreState
ReaderRestoreState.Inputs - Class in org.tensorflow.op.io
readerSerializeState(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState - Class in org.tensorflow.op.io: Produce a string tensor that encodes the state of a Reader.
ReaderSerializeState(Operation) - Constructor for class org.tensorflow.op.io.ReaderSerializeState
ReaderSerializeState.Inputs - Class in org.tensorflow.op.io
readFile(Operand<TString>) - Method in class org.tensorflow.op.IoOps: Reads and outputs the entire contents of the input filename.
ReadFile - Class in org.tensorflow.op.io: Reads and outputs the entire contents of the input filename.
ReadFile(Operation) - Constructor for class org.tensorflow.op.io.ReadFile
ReadFile.Inputs - Class in org.tensorflow.op.io
readVariableOp(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Reads the value of a variable.
ReadVariableOp<T extends TType> - Class in org.tensorflow.op.core: Reads the value of a variable.
ReadVariableOp(Operation) - Constructor for class org.tensorflow.op.core.ReadVariableOp
ReadVariableOp.Inputs - Class in org.tensorflow.op.core
readVariableSplitND(Operand<? extends TType>, Class<T>, Long, List<Long>, ReadVariableSplitND.Options...) - Method in class org.tensorflow.op.XlaOps: Splits resource variable input tensor across all dimensions.
ReadVariableSplitND<T extends TType> - Class in org.tensorflow.op.xla: Splits resource variable input tensor across all dimensions.
ReadVariableSplitND(Operation) - Constructor for class org.tensorflow.op.xla.ReadVariableSplitND
ReadVariableSplitND.Inputs - Class in org.tensorflow.op.xla
ReadVariableSplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for ReadVariableSplitND
real - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The real input
real(Operand<? extends TType>) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
real(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.MathOps: Returns the real part of a complex number.
Real - Class in org.tensorflow.op.math: Returns the real part of a complex number.
Real(Operation) - Constructor for class org.tensorflow.op.math.Real
Real.Inputs - Class in org.tensorflow.op.math
realDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise for real types.
RealDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise for real types.
RealDiv(Operation) - Constructor for class org.tensorflow.op.math.RealDiv
RealDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
rebatchDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RebatchDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that changes the batch size.
RebatchDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that changes the batch size.
RebatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.RebatchDataset
RebatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
RebatchDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for RebatchDataset
rebatchDatasetV2(Operand<? extends TType>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that changes the batch size.
RebatchDatasetV2 - Class in org.tensorflow.op.data: Creates a dataset that changes the batch size.
RebatchDatasetV2(Operation) - Constructor for class org.tensorflow.op.data.RebatchDatasetV2
RebatchDatasetV2.Inputs - Class in org.tensorflow.op.data
recallTarget - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Recall target for the approximation.
recallTarget(Float) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the recallTarget option.
recallTarget(Float) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the recallTarget option.
reciprocal(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the reciprocal of x element-wise.
Reciprocal<T extends TType> - Class in org.tensorflow.op.math: Computes the reciprocal of x element-wise.
Reciprocal(Operation) - Constructor for class org.tensorflow.op.math.Reciprocal
Reciprocal.Inputs<T extends TType> - Class in org.tensorflow.op.math
reciprocalGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the inverse of x wrt its input.
ReciprocalGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the inverse of x wrt its input.
ReciprocalGrad(Operation) - Constructor for class org.tensorflow.op.math.ReciprocalGrad
ReciprocalGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
recordBytes - Variable in class org.tensorflow.op.data.FixedLengthRecordDataset.Inputs: The recordBytes input
recordBytes - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: Number of bytes in the record.
recordDefaults - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The recordDefaults input
recordDefaults - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: One tensor per column of the input record, with either a scalar default value for that column or an empty vector if the column is required.
recordInput(String, RecordInput.Options...) - Method in class org.tensorflow.op.RandomOps: Emits randomized records.
RecordInput - Class in org.tensorflow.op.random: Emits randomized records.
RecordInput(Operation) - Constructor for class org.tensorflow.op.random.RecordInput
RecordInput.Inputs - Class in org.tensorflow.op.random
RecordInput.Options - Class in org.tensorflow.op.random: Optional attributes for RecordInput
records - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: Each string is a record/row in the csv and all records should have the same format.
records() - Method in class org.tensorflow.op.random.RecordInput: Gets records.
recordsProduced() - Method in class org.tensorflow.op.io.ReaderNumRecordsProduced: Gets recordsProduced.
recv(Class<T>, String, String, Long, String, Recv.Options...) - Method in class org.tensorflow.op.Ops: Receives the named tensor from send_device on recv_device.
Recv<T extends TType> - Class in org.tensorflow.op.core: Receives the named tensor from send_device on recv_device.
Recv(Operation) - Constructor for class org.tensorflow.op.core.Recv
Recv.Inputs - Class in org.tensorflow.op.core
Recv.Options - Class in org.tensorflow.op.core: Optional attributes for Recv
recvDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device receiving the tensor.
recvDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device receiving the tensor.
recvKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The recvKey attribute
recvKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the recvKey option.
recvKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the recvKey option.
recvTPUEmbeddingActivations(Long, String) - Method in class org.tensorflow.op.TpuOps: An op that receives embedding activations on the TPU.
RecvTPUEmbeddingActivations - Class in org.tensorflow.op.tpu: An op that receives embedding activations on the TPU.
RecvTPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.RecvTPUEmbeddingActivations
RecvTPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu
reduceAll(Operand<TBool>, Operand<? extends TNumber>, ReduceAll.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll - Class in org.tensorflow.op.core: Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll(Operation) - Constructor for class org.tensorflow.op.core.ReduceAll
ReduceAll.Inputs - Class in org.tensorflow.op.core
ReduceAll.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAll
reduceAny(Operand<TBool>, Operand<? extends TNumber>, ReduceAny.Options...) - Method in class org.tensorflow.op.Ops: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny - Class in org.tensorflow.op.core: Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny(Operation) - Constructor for class org.tensorflow.op.core.ReduceAny
ReduceAny.Inputs - Class in org.tensorflow.op.core
ReduceAny.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceAny
reduceDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ReduceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset - Class in org.tensorflow.op.data: Reduces the input dataset to a singleton using a reduce function.
ReduceDataset(Operation) - Constructor for class org.tensorflow.op.data.ReduceDataset
ReduceDataset.Inputs - Class in org.tensorflow.op.data
ReduceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ReduceDataset
reduceDims(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceDims(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reduces the shape to the specified axis.
reduceDims(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reduces the shape to the specified axis.
reduceDims(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Scope, Operand<T>, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceDims(Operand<T>, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Reshapes the operand by reducing the shape to the specified axis.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: A list of tensors, typically values that were captured when building a closure for reduce_func.
reduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The reduceFuncOtherArguments input
reduceJoin(Operand<TString>, Operand<TInt32>, ReduceJoin.Options...) - Method in class org.tensorflow.op.StringsOps: Joins a string Tensor across the given dimensions.
ReduceJoin - Class in org.tensorflow.op.strings: Joins a string Tensor across the given dimensions.
ReduceJoin(Operation) - Constructor for class org.tensorflow.op.strings.ReduceJoin
ReduceJoin.Inputs - Class in org.tensorflow.op.strings
ReduceJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for ReduceJoin
reduceMax(Operand<T>, Operand<? extends TNumber>, ReduceMax.Options...) - Method in class org.tensorflow.op.Ops: Computes the maximum of elements across dimensions of a tensor.
ReduceMax<T extends TNumber> - Class in org.tensorflow.op.core: Computes the maximum of elements across dimensions of a tensor.
ReduceMax(Operation) - Constructor for class org.tensorflow.op.core.ReduceMax
ReduceMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ReduceMax.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMax
reduceMin(Operand<T>, Operand<? extends TNumber>, ReduceMin.Options...) - Method in class org.tensorflow.op.Ops: Computes the minimum of elements across dimensions of a tensor.
ReduceMin<T extends TNumber> - Class in org.tensorflow.op.core: Computes the minimum of elements across dimensions of a tensor.
ReduceMin(Operation) - Constructor for class org.tensorflow.op.core.ReduceMin
ReduceMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ReduceMin.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceMin
reduceProd(Operand<T>, Operand<? extends TNumber>, ReduceProd.Options...) - Method in class org.tensorflow.op.Ops: Computes the product of elements across dimensions of a tensor.
ReduceProd<T extends TType> - Class in org.tensorflow.op.core: Computes the product of elements across dimensions of a tensor.
ReduceProd(Operation) - Constructor for class org.tensorflow.op.core.ReduceProd
ReduceProd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReduceProd.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceProd
reduceSum(Operand<T>, Operand<? extends TNumber>, ReduceSum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
ReduceSum<T extends TType> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
ReduceSum(Operation) - Constructor for class org.tensorflow.op.core.ReduceSum
ReduceSum.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReduceSum.Options - Class in org.tensorflow.op.core: Optional attributes for ReduceSum
reduction - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The reduction attribute
reduction - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The reduction attribute
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: 1-D.
reductionAxes - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: 1-D.
reductionDimension - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: Integer dimension along which to search.
reductionDimension(Long) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the reductionDimension option.
reductionDimension(Long) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the reductionDimension option.
reductionIndices - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The dimensions to reduce over.
reductionInputSizeOverride - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: When set to a positive value, it overrides the size determined by input[reduction_dim] for evaluating the recall.
reductionInputSizeOverride(Long) - Method in class org.tensorflow.op.core.ApproxTopK.Options: Sets the reductionInputSizeOverride option.
reductionInputSizeOverride(Long) - Static method in class org.tensorflow.op.core.ApproxTopK: Sets the reductionInputSizeOverride option.
reductionType - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The reductionType attribute
reductionType - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The reductionType attribute
reductionType - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The reductionType attribute
reductionType(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the reductionType option.
reductionType(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the reductionType option.
reductionType(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the reductionType option.
reductionType(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the reductionType option.
ref - Variable in class org.tensorflow.op.core.Assign.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.AssignSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: Should be from a scalar Variable node.
ref - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: A reference to the temporary variable tensor.
ref - Variable in class org.tensorflow.op.core.IsVariableInitialized.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A resource handle.
ref - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The ref input
ref - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A mutable Tensor.
ref - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: Should be from a Variable node.
ref - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The ref input
ref() - Method in class org.tensorflow.op.core.TemporaryVariable: Gets ref.
ref() - Method in class org.tensorflow.op.core.Variable: Gets ref.
refEnter(Operand<T>, String, RefEnter.Options...) - Method in class org.tensorflow.op.Ops: Creates or finds a child frame, and makes data available to the child frame.
RefEnter<T extends TType> - Class in org.tensorflow.op.core: Creates or finds a child frame, and makes data available to the child frame.
RefEnter(Operation) - Constructor for class org.tensorflow.op.core.RefEnter
RefEnter.Inputs<T extends TType> - Class in org.tensorflow.op.core
RefEnter.Options - Class in org.tensorflow.op.core: Optional attributes for RefEnter
refExit(Operand<T>) - Method in class org.tensorflow.op.Ops: Exits the current frame to its parent frame.
RefExit<T extends TType> - Class in org.tensorflow.op.core: Exits the current frame to its parent frame.
RefExit(Operation) - Constructor for class org.tensorflow.op.core.RefExit
RefExit.Inputs<T extends TType> - Class in org.tensorflow.op.core
refIdentity(Operand<T>) - Method in class org.tensorflow.op.Ops: Return the same ref tensor as the input ref tensor.
RefIdentity<T extends TType> - Class in org.tensorflow.op.core: Return the same ref tensor as the input ref tensor.
RefIdentity(Operation) - Constructor for class org.tensorflow.op.core.RefIdentity
RefIdentity.Inputs<T extends TType> - Class in org.tensorflow.op.core
refMerge(Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Forwards the value of an available tensor from inputs to output.
RefMerge<T extends TType> - Class in org.tensorflow.op.core: Forwards the value of an available tensor from inputs to output.
RefMerge(Operation) - Constructor for class org.tensorflow.op.core.RefMerge
RefMerge.Inputs<T extends TType> - Class in org.tensorflow.op.core
refNextIteration(Operand<T>) - Method in class org.tensorflow.op.Ops: Makes its input available to the next iteration.
RefNextIteration<T extends TType> - Class in org.tensorflow.op.core: Makes its input available to the next iteration.
RefNextIteration(Operation) - Constructor for class org.tensorflow.op.core.RefNextIteration
RefNextIteration.Inputs<T extends TType> - Class in org.tensorflow.op.core
refreshNames() - Method in class org.tensorflow.op.NativeScope
refreshNames() - Method in class org.tensorflow.op.OpScope
refreshNames() - Method in interface org.tensorflow.op.Scope: Refresh the used name list (used for uniquifying names) from the underlying graph.
refSelect(Operand<TInt32>, Iterable<Operand<T>>) - Method in class org.tensorflow.op.Ops: Forwards the indexth element of inputs to output.
RefSelect<T extends TType> - Class in org.tensorflow.op.core: Forwards the indexth element of inputs to output.
RefSelect(Operation) - Constructor for class org.tensorflow.op.core.RefSelect
RefSelect.Inputs<T extends TType> - Class in org.tensorflow.op.core
refSwitch(Operand<T>, Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards the ref tensor data to the output port determined by pred.
RefSwitch<T extends TType> - Class in org.tensorflow.op.core: Forwards the ref tensor data to the output port determined by pred.
RefSwitch(Operation) - Constructor for class org.tensorflow.op.core.RefSwitch
RefSwitch.Inputs<T extends TType> - Class in org.tensorflow.op.core
regexFullMatch(Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Check if the input matches the regex pattern.
RegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
RegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.RegexFullMatch
RegexFullMatch.Inputs - Class in org.tensorflow.op.strings
regexReplace(Operand<TString>, Operand<TString>, Operand<TString>, RegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace - Class in org.tensorflow.op.strings: Replaces matches of the pattern regular expression in input with the replacement string provided in rewrite.
RegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.RegexReplace
RegexReplace.Inputs - Class in org.tensorflow.op.strings
RegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for RegexReplace
registerCustomGradient(Class<T>, CustomGradient<T>) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of inputClass's op type.
registerCustomGradient(String, RawCustomGradient) - Static method in class org.tensorflow.TensorFlow: Register a custom gradient function for ops of opType type.
registerDataset(Operand<? extends TType>, Operand<TString>, Operand<TString>, Long, RegisterDataset.Options...) - Method in class org.tensorflow.op.DataOps: Registers a dataset with the tf.data service.
RegisterDataset - Class in org.tensorflow.op.data: Registers a dataset with the tf.data service.
RegisterDataset(Operation) - Constructor for class org.tensorflow.op.data.RegisterDataset
RegisterDataset.Inputs - Class in org.tensorflow.op.data
RegisterDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RegisterDataset
registeredOpList() - Static method in class org.tensorflow.TensorFlow: All the TensorFlow operations available in this address space.
registerFilesystemPlugin(String) - Static method in class org.tensorflow.TensorFlow: Loads the filesystem plugin from filename and registers all the filesystems it supports.
relayout(Operand<T>, String) - Method in class org.tensorflow.op.Ops: The Relayout operation
Relayout<T extends TType> - Class in org.tensorflow.op.core: The Relayout operation
Relayout(Operation) - Constructor for class org.tensorflow.op.core.Relayout
Relayout.Inputs<T extends TType> - Class in org.tensorflow.op.core
relayoutLike(Operand<T>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: The RelayoutLike operation
RelayoutLike<T extends TType> - Class in org.tensorflow.op.core: The RelayoutLike operation
RelayoutLike(Operation) - Constructor for class org.tensorflow.op.core.RelayoutLike
RelayoutLike.Inputs<T extends TType> - Class in org.tensorflow.op.core
relu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear: max(features, 0).
Relu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear: max(features, 0).
Relu(Operation) - Constructor for class org.tensorflow.op.nn.Relu
Relu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
relu6(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear 6: min(max(features, 0), 6).
Relu6<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear 6: min(max(features, 0), 6).
Relu6(Operation) - Constructor for class org.tensorflow.op.nn.Relu6
Relu6.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
relu6Grad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear 6 gradients for a Relu6 operation.
Relu6Grad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear 6 gradients for a Relu6 operation.
Relu6Grad(Operation) - Constructor for class org.tensorflow.op.nn.Relu6Grad
Relu6Grad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
reluGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes rectified linear gradients for a Relu operation.
ReluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes rectified linear gradients for a Relu operation.
ReluGrad(Operation) - Constructor for class org.tensorflow.op.nn.ReluGrad
ReluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
remapping() - Method in class org.tensorflow.op.train.GenerateVocabRemapping: Gets remapping.
remoteCall(Operand<TString>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Method in class org.tensorflow.op.Ops: Runs function f on a remote device indicated by target.
RemoteCall - Class in org.tensorflow.op.core: Runs function f on a remote device indicated by target.
RemoteCall(Operation) - Constructor for class org.tensorflow.op.core.RemoteCall
RemoteCall.Inputs - Class in org.tensorflow.op.core
repeatDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, RepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the outputs of input_dataset count times.
RepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.RepeatDataset
RepeatDataset.Inputs - Class in org.tensorflow.op.data
RepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for RepeatDataset
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: Whether to replace the C0 control characters (00-1F) with the replacement_char.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replaceControlCharacters option.
replaceControlCharacters(Boolean) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replaceControlCharacters option.
replaceGlobal - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: If True, the replacement is global (that is, all matches of the pattern regular expression in each input string are rewritten), otherwise the rewrite substitution is only made for the first pattern match.
replaceGlobal - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: If True, the replacement is global, otherwise the replacement is done only on the first match.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.RegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.RegexReplace: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Method in class org.tensorflow.op.strings.StaticRegexReplace.Options: Sets the replaceGlobal option.
replaceGlobal(Boolean) - Static method in class org.tensorflow.op.strings.StaticRegexReplace: Sets the replaceGlobal option.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar - Variable in class org.tensorflow.op.strings.UnicodeTranscode.Inputs: The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecode: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeEncode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeEncode: Sets the replacementChar option.
replacementChar(Long) - Method in class org.tensorflow.op.strings.UnicodeTranscode.Options: Sets the replacementChar option.
replacementChar(Long) - Static method in class org.tensorflow.op.strings.UnicodeTranscode: Sets the replacementChar option.
replica() - Method in class org.tensorflow.DeviceSpec
replica(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
replicatedInput(Iterable<Operand<T>>, ReplicatedInput.Options...) - Method in class org.tensorflow.op.TpuOps: Connects N inputs to an N-way replicated TPU computation.
ReplicatedInput<T extends TType> - Class in org.tensorflow.op.tpu: Connects N inputs to an N-way replicated TPU computation.
ReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedInput
ReplicatedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
ReplicatedInput.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicatedInput
replicatedOutput(Operand<T>, Long) - Method in class org.tensorflow.op.TpuOps: Connects N outputs from an N-way replicated TPU computation.
ReplicatedOutput<T extends TType> - Class in org.tensorflow.op.tpu: Connects N outputs from an N-way replicated TPU computation.
ReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicatedOutput
ReplicatedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu
replicateMetadata(Long, ReplicateMetadata.Options...) - Method in class org.tensorflow.op.TpuOps: Metadata indicating how the TPU computation should be replicated.
ReplicateMetadata - Class in org.tensorflow.op.tpu: Metadata indicating how the TPU computation should be replicated.
ReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.ReplicateMetadata
ReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu
ReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Optional attributes for ReplicateMetadata
replicateOnSplit - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: The replicateOnSplit attribute
replicateOnSplit - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The replicateOnSplit attribute
replicateOnSplit(Boolean) - Method in class org.tensorflow.op.data.RangeDataset.Options: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Static method in class org.tensorflow.op.data.RangeDataset: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Method in class org.tensorflow.op.data.TensorSliceDataset.Options: Sets the replicateOnSplit option.
replicateOnSplit(Boolean) - Static method in class org.tensorflow.op.data.TensorSliceDataset: Sets the replicateOnSplit option.
requantizationRange(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>) - Method in class org.tensorflow.op.QuantizationOps: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange - Class in org.tensorflow.op.quantization: Computes a range that covers the actual values present in a quantized tensor.
RequantizationRange(Operation) - Constructor for class org.tensorflow.op.quantization.RequantizationRange
RequantizationRange.Inputs - Class in org.tensorflow.op.quantization
requantizationRangePerChannel(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Float) - Method in class org.tensorflow.op.MathOps: Computes requantization range per channel.
RequantizationRangePerChannel - Class in org.tensorflow.op.math: Computes requantization range per channel.
RequantizationRangePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizationRangePerChannel
RequantizationRangePerChannel.Inputs - Class in org.tensorflow.op.math
requantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.QuantizationOps: Converts the quantized input tensor into a lower-precision output.
Requantize - Class in org.tensorflow.op.quantization: Converts the quantized input tensor into a lower-precision output.
Requantize(Operation) - Constructor for class org.tensorflow.op.quantization.Requantize
Requantize.Inputs - Class in org.tensorflow.op.quantization
requantizePerChannel(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Class) - Method in class org.tensorflow.op.MathOps: Requantizes input with min and max values known per channel.
RequantizePerChannel - Class in org.tensorflow.op.math: Requantizes input with min and max values known per channel.
RequantizePerChannel(Operation) - Constructor for class org.tensorflow.op.math.RequantizePerChannel
RequantizePerChannel.Inputs - Class in org.tensorflow.op.math
request - Variable in class org.tensorflow.op.tpu.WorkerHeartbeat.Inputs: A string tensor containing a serialized WorkerHeartbeatRequest
requestedDatasetId - Variable in class org.tensorflow.op.data.RegisterDataset.Inputs: The requestedDatasetId attribute
requestedDatasetId(String) - Method in class org.tensorflow.op.data.RegisterDataset.Options: Sets the requestedDatasetId option.
requestedDatasetId(String) - Static method in class org.tensorflow.op.data.RegisterDataset: Sets the requestedDatasetId option.
requestedOutputMax - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The maximum value of the output tensor requested.
requestedOutputMax - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the maximum quantized output value represents.
requestedOutputMin - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The minimum value of the output tensor requested.
requestedOutputMin - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The float value that the minimum quantized output value represents.
requireNonEmpty - Variable in class org.tensorflow.op.data.ShardDataset.Inputs: The requireNonEmpty attribute
requireNonEmpty(Boolean) - Method in class org.tensorflow.op.data.ShardDataset.Options: Sets the requireNonEmpty option.
requireNonEmpty(Boolean) - Static method in class org.tensorflow.op.data.ShardDataset: Sets the requireNonEmpty option.
rerandomizeEachIteration - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A boolean attribute to rerandomize the sequence of random numbers generated at each epoch.
rerandomizeEachIteration(Boolean) - Method in class org.tensorflow.op.data.RandomDataset.Options: Sets the rerandomizeEachIteration option.
rerandomizeEachIteration(Boolean) - Static method in class org.tensorflow.op.data.RandomDataset: Sets the rerandomizeEachIteration option.
reserveSpace - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The reserveSpace input
reserveSpace() - Method in class org.tensorflow.op.nn.CudnnRNN: Gets reserveSpace.
reserveSpace1 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch mean to be reused in gradient computation.
reserveSpace1() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace1.
reserveSpace2 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for the computed batch variance (inverted variance in the cuDNN case) to be reused in gradient computation.
reserveSpace2() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace2.
reserveSpace3 - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: When is_training is True, a 1D Tensor for some intermediate results to be reused in gradient computation.
reserveSpace3() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets reserveSpace3.
reserveSpace4() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace4.
reserveSpace5() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets reserveSpace5.
reshape(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Reshapes a tensor.
Reshape<T extends TType> - Class in org.tensorflow.op.core: Reshapes a tensor.
Reshape(Operation) - Constructor for class org.tensorflow.op.core.Reshape
Reshape.Inputs<T extends TType> - Class in org.tensorflow.op.core
reshuffle - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The reshuffle input
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The reshuffleEachIteration attribute
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleAndRepeatDataset: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Method in class org.tensorflow.op.data.ShuffleDataset.Options: Sets the reshuffleEachIteration option.
reshuffleEachIteration(Boolean) - Static method in class org.tensorflow.op.data.ShuffleDataset: Sets the reshuffleEachIteration option.
resizeAlignCorners - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels.
resizeAlignCorners(Boolean) - Method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Options: Sets the resizeAlignCorners option.
resizeAlignCorners(Boolean) - Static method in class org.tensorflow.op.nn.FusedResizeAndPadConv2d: Sets the resizeAlignCorners option.
resizeArea(Operand<? extends TNumber>, Operand<TInt32>, ResizeArea.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using area interpolation.
ResizeArea - Class in org.tensorflow.op.image: Resize images to size using area interpolation.
ResizeArea(Operation) - Constructor for class org.tensorflow.op.image.ResizeArea
ResizeArea.Inputs - Class in org.tensorflow.op.image
ResizeArea.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeArea
resizeBicubic(Operand<? extends TNumber>, Operand<TInt32>, ResizeBicubic.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bicubic interpolation.
ResizeBicubic - Class in org.tensorflow.op.image: Resize images to size using bicubic interpolation.
ResizeBicubic(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubic
ResizeBicubic.Inputs - Class in org.tensorflow.op.image
ResizeBicubic.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubic
resizeBicubicGrad(Operand<TFloat32>, Operand<T>, ResizeBicubicGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of bicubic interpolation.
ResizeBicubicGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of bicubic interpolation.
ResizeBicubicGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBicubicGrad
ResizeBicubicGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeBicubicGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBicubicGrad
resizeBilinear(Operand<? extends TNumber>, Operand<TInt32>, ResizeBilinear.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using bilinear interpolation.
ResizeBilinear - Class in org.tensorflow.op.image: Resize images to size using bilinear interpolation.
ResizeBilinear(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinear
ResizeBilinear.Inputs - Class in org.tensorflow.op.image
ResizeBilinear.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinear
resizeBilinearGrad(Operand<TFloat32>, Operand<T>, ResizeBilinearGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of bilinear interpolation.
ResizeBilinearGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of bilinear interpolation.
ResizeBilinearGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeBilinearGrad
ResizeBilinearGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeBilinearGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeBilinearGrad
resizedImages() - Method in class org.tensorflow.op.image.QuantizedResizeBilinear: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeArea: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeBicubic: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeBilinear: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ResizeNearestNeighbor: Gets resizedImages.
resizedImages() - Method in class org.tensorflow.op.image.ScaleAndTranslate: Gets resizedImages.
resizeIfIndexOutOfBounds - Variable in class org.tensorflow.op.core.TensorListSetItem.Inputs: The resizeIfIndexOutOfBounds attribute
resizeIfIndexOutOfBounds(Boolean) - Method in class org.tensorflow.op.core.TensorListSetItem.Options: Sets the resizeIfIndexOutOfBounds option.
resizeIfIndexOutOfBounds(Boolean) - Static method in class org.tensorflow.op.core.TensorListSetItem: Sets the resizeIfIndexOutOfBounds option.
resizeNearestNeighbor(Operand<T>, Operand<TInt32>, ResizeNearestNeighbor.Options...) - Method in class org.tensorflow.op.ImageOps: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor<T extends TNumber> - Class in org.tensorflow.op.image: Resize images to size using nearest neighbor interpolation.
ResizeNearestNeighbor(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighbor
ResizeNearestNeighbor.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeNearestNeighbor.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighbor
resizeNearestNeighborGrad(Operand<T>, Operand<TInt32>, ResizeNearestNeighborGrad.Options...) - Method in class org.tensorflow.op.ImageOps: Computes the gradient of nearest neighbor interpolation.
ResizeNearestNeighborGrad<T extends TNumber> - Class in org.tensorflow.op.image: Computes the gradient of nearest neighbor interpolation.
ResizeNearestNeighborGrad(Operation) - Constructor for class org.tensorflow.op.image.ResizeNearestNeighborGrad
ResizeNearestNeighborGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ResizeNearestNeighborGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ResizeNearestNeighborGrad
resource - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.DestroyResourceOp.Inputs: handle to the resource to delete.
resource - Variable in class org.tensorflow.op.core.ReadVariableOp.Inputs: handle to the resource in which to store the variable.
resource - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: Should be from a scalar Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The resource input
resource - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: Should be from a Variable node.
resource - Variable in class org.tensorflow.op.core.VarIsInitializedOp.Inputs: the input resource handle.
resource - Variable in class org.tensorflow.op.data.experimental.IteratorGetDevice.Inputs: The resource input
resource - Variable in class org.tensorflow.op.data.IteratorGetDevice.Inputs: The resource input
resource - Variable in class org.tensorflow.op.io.DisableCopyOnRead.Inputs: The resource handle of the resource variable.
resource - Variable in class org.tensorflow.op.io.FakeQueue.Inputs: The resource input
resource - Variable in class org.tensorflow.op.random.RngReadAndSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.RngSkip.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The resource input
resource - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The handle of the resource variable that stores the state of the RNG.
resource - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: Resource variable for concatenated input tensors across all dimensions.
resource - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: Resource variable of input tensor to split across all dimensions.
resource() - Method in class org.tensorflow.op.core.Mutex: Gets resource.
resource() - Method in class org.tensorflow.op.core.VarHandleOp: Gets resource.
resourceAccumulatorApplyGradient(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.TrainOps: Applies a gradient to a given accumulator.
ResourceAccumulatorApplyGradient - Class in org.tensorflow.op.train: Applies a gradient to a given accumulator.
ResourceAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorApplyGradient
ResourceAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorNumAccumulated(Operand<? extends TType>) - Method in class org.tensorflow.op.TrainOps: Returns the number of gradients aggregated in the given accumulators.
ResourceAccumulatorNumAccumulated - Class in org.tensorflow.op.train: Returns the number of gradients aggregated in the given accumulators.
ResourceAccumulatorNumAccumulated(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorNumAccumulated
ResourceAccumulatorNumAccumulated.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorSetGlobalStep(Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.TrainOps: Updates the accumulator with a new value for global_step.
ResourceAccumulatorSetGlobalStep - Class in org.tensorflow.op.train: Updates the accumulator with a new value for global_step.
ResourceAccumulatorSetGlobalStep(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorSetGlobalStep
ResourceAccumulatorSetGlobalStep.Inputs - Class in org.tensorflow.op.train
resourceAccumulatorTakeGradient(Operand<? extends TType>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.TrainOps: Extracts the average gradient in the given ConditionalAccumulator.
ResourceAccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.train: Extracts the average gradient in the given ConditionalAccumulator.
ResourceAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.train.ResourceAccumulatorTakeGradient
ResourceAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.train
resourceApplyAdadelta(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adadelta scheme.
ResourceApplyAdadelta - Class in org.tensorflow.op.train: Update '*var' according to the adadelta scheme.
ResourceApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdadelta
ResourceApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdadelta
resourceApplyAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the adagrad scheme.
ResourceApplyAdagrad - Class in org.tensorflow.op.train: Update '*var' according to the adagrad scheme.
ResourceApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagrad
ResourceApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagrad
resourceApplyAdagradDa(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa - Class in org.tensorflow.op.train: Update '*var' according to the proximal adagrad scheme.
ResourceApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdagradDa
ResourceApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdagradDa
resourceApplyAdam(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdam.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdam - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdam(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdam
ResourceApplyAdam.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdam.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdam
resourceApplyAdaMax(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdaMax.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AdaMax algorithm.
ResourceApplyAdaMax - Class in org.tensorflow.op.train: Update '*var' according to the AdaMax algorithm.
ResourceApplyAdaMax(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdaMax
ResourceApplyAdaMax.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdaMax.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdaMax
resourceApplyAdamWithAmsgrad(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAdamWithAmsgrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad - Class in org.tensorflow.op.train: Update '*var' according to the Adam algorithm.
ResourceApplyAdamWithAmsgrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAdamWithAmsgrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAdamWithAmsgrad
resourceApplyAddSign(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyAddSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyAddSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ResourceApplyAddSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyAddSign
ResourceApplyAddSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyAddSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyAddSign
resourceApplyCenteredRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyCenteredRmsProp
ResourceApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyCenteredRmsProp
resourceApplyFtrl(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the Ftrl-proximal scheme.
ResourceApplyFtrl - Class in org.tensorflow.op.train: Update '*var' according to the Ftrl-proximal scheme.
ResourceApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyFtrl
ResourceApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyFtrl
resourceApplyGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, ResourceApplyGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent - Class in org.tensorflow.op.train: Update '*var' by subtracting 'alpha' * 'delta' from it.
ResourceApplyGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyGradientDescent
ResourceApplyGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyGradientDescent
resourceApplyKerasMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyKerasMomentum
ResourceApplyKerasMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyKerasMomentum
resourceApplyMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the momentum scheme.
ResourceApplyMomentum - Class in org.tensorflow.op.train: Update '*var' according to the momentum scheme.
ResourceApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyMomentum
ResourceApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyMomentum
resourceApplyPowerSign(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyPowerSign.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the AddSign update.
ResourceApplyPowerSign - Class in org.tensorflow.op.train: Update '*var' according to the AddSign update.
ResourceApplyPowerSign(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyPowerSign
ResourceApplyPowerSign.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyPowerSign.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyPowerSign
resourceApplyProximalAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ResourceApplyProximalAdagrad - Class in org.tensorflow.op.train: Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
ResourceApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalAdagrad
ResourceApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalAdagrad
resourceApplyProximalGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' as FOBOS algorithm with fixed learning rate.
ResourceApplyProximalGradientDescent - Class in org.tensorflow.op.train: Update '*var' as FOBOS algorithm with fixed learning rate.
ResourceApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyProximalGradientDescent
ResourceApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyProximalGradientDescent
resourceApplyRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceApplyRmsProp
ResourceApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceApplyRmsProp
resourceConditionalAccumulator(Class<T>, Shape, ResourceConditionalAccumulator.Options...) - Method in class org.tensorflow.op.TrainOps: A conditional accumulator for aggregating gradients.
ResourceConditionalAccumulator - Class in org.tensorflow.op.train: A conditional accumulator for aggregating gradients.
ResourceConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.train.ResourceConditionalAccumulator
ResourceConditionalAccumulator.Inputs - Class in org.tensorflow.op.train
ResourceConditionalAccumulator.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceConditionalAccumulator
resourceCountUpTo(Operand<? extends TType>, Long, Class<T>) - Method in class org.tensorflow.op.Ops: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo<T extends TNumber> - Class in org.tensorflow.op.core: Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceCountUpTo(Operation) - Constructor for class org.tensorflow.op.core.ResourceCountUpTo
ResourceCountUpTo.Inputs - Class in org.tensorflow.op.core
resourceGather(Operand<? extends TType>, Operand<? extends TNumber>, Class, ResourceGather.Options...) - Method in class org.tensorflow.op.Ops: Gather slices from the variable pointed to by resource according to indices.
ResourceGather - Class in org.tensorflow.op.core: Gather slices from the variable pointed to by resource according to indices.
ResourceGather(Operation) - Constructor for class org.tensorflow.op.core.ResourceGather
ResourceGather.Inputs - Class in org.tensorflow.op.core
ResourceGather.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceGather
resourceGatherNd(Operand<? extends TType>, Operand<? extends TNumber>, Class) - Method in class org.tensorflow.op.Ops: The ResourceGatherNd operation
ResourceGatherNd - Class in org.tensorflow.op.core: The ResourceGatherNd operation
ResourceGatherNd(Operation) - Constructor for class org.tensorflow.op.core.ResourceGatherNd
ResourceGatherNd.Inputs - Class in org.tensorflow.op.core
resourceHandle - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A handle to an iterator resource.
resourceHandle - Variable in class org.tensorflow.op.data.IteratorToStringHandle.Inputs: A handle to an iterator resource.
resourceHandle - Variable in class org.tensorflow.op.data.SerializeIterator.Inputs: A handle to an iterator resource.
resourceHandle() - Method in class org.tensorflow.op.data.IteratorFromStringHandle: Gets resourceHandle.
resourceScatterAdd(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd - Class in org.tensorflow.op.core: Adds sparse updates to the variable referenced by resource.
ResourceScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterAdd
ResourceScatterAdd.Inputs - Class in org.tensorflow.op.core
resourceScatterDiv(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv - Class in org.tensorflow.op.core: Divides sparse updates into the variable referenced by resource.
ResourceScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterDiv
ResourceScatterDiv.Inputs - Class in org.tensorflow.op.core
resourceScatterMax(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the max operation.
ResourceScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMax
ResourceScatterMax.Inputs - Class in org.tensorflow.op.core
resourceScatterMin(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin - Class in org.tensorflow.op.core: Reduces sparse updates into the variable referenced by resource using the min operation.
ResourceScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMin
ResourceScatterMin.Inputs - Class in org.tensorflow.op.core
resourceScatterMul(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul - Class in org.tensorflow.op.core: Multiplies sparse updates into the variable referenced by resource.
ResourceScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterMul
ResourceScatterMul.Inputs - Class in org.tensorflow.op.core
resourceScatterNdAdd(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdAdd
ResourceScatterNdAdd.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdAdd
resourceScatterNdMax(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMax operation
ResourceScatterNdMax - Class in org.tensorflow.op.core: The ResourceScatterNdMax operation
ResourceScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMax
ResourceScatterNdMax.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMax
resourceScatterNdMin(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: The ResourceScatterNdMin operation
ResourceScatterNdMin - Class in org.tensorflow.op.core: The ResourceScatterNdMin operation
ResourceScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdMin
ResourceScatterNdMin.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdMin
resourceScatterNdSub(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdSub
ResourceScatterNdSub.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdSub
resourceScatterNdUpdate(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>, ResourceScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ResourceScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterNdUpdate
ResourceScatterNdUpdate.Inputs - Class in org.tensorflow.op.core
ResourceScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceScatterNdUpdate
resourceScatterSub(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub - Class in org.tensorflow.op.core: Subtracts sparse updates from the variable referenced by resource.
ResourceScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterSub
ResourceScatterSub.Inputs - Class in org.tensorflow.op.core
resourceScatterUpdate(Operand<? extends TType>, Operand<? extends TNumber>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate - Class in org.tensorflow.op.core: Assigns sparse updates to the variable referenced by resource.
ResourceScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ResourceScatterUpdate
ResourceScatterUpdate.Inputs - Class in org.tensorflow.op.core
resourceSparseApplyAdadelta(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
ResourceSparseApplyAdadelta - Class in org.tensorflow.op.train: var: Should be from a Variable().
ResourceSparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdadelta
ResourceSparseApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdadelta
resourceSparseApplyAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagrad
ResourceSparseApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagrad
resourceSparseApplyAdagradDa(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, ResourceSparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
ResourceSparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradDa
ResourceSparseApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradDa
resourceSparseApplyAdagradV2(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyAdagradV2.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagradV2 - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
ResourceSparseApplyAdagradV2(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyAdagradV2
ResourceSparseApplyAdagradV2.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyAdagradV2.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyAdagradV2
resourceSparseApplyCenteredRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
ResourceSparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp
ResourceSparseApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyCenteredRmsProp
resourceSparseApplyFtrl(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, ResourceSparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
ResourceSparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyFtrl
ResourceSparseApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyFtrl
resourceSparseApplyKerasMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyKerasMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyKerasMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum
ResourceSparseApplyKerasMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyKerasMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyKerasMomentum
resourceSparseApplyMomentum(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, ResourceSparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
ResourceSparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyMomentum
ResourceSparseApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyMomentum
resourceSparseApplyProximalAdagrad(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
ResourceSparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad
ResourceSparseApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalAdagrad
resourceSparseApplyProximalGradientDescent(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
ResourceSparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent
ResourceSparseApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyProximalGradientDescent
resourceSparseApplyRmsProp(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, ResourceSparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
ResourceSparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.ResourceSparseApplyRmsProp
ResourceSparseApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
ResourceSparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for ResourceSparseApplyRmsProp
resourceStridedSliceAssign(Operand<? extends TType>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TType>, ResourceStridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
ResourceStridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.ResourceStridedSliceAssign
ResourceStridedSliceAssign.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ResourceStridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for ResourceStridedSliceAssign
response() - Method in class org.tensorflow.op.tpu.WorkerHeartbeat: Gets response.
restore(String) - Method in class org.tensorflow.Session: Restore the actual state of the variables of this session's graph.
restore(Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>) - Method in class org.tensorflow.op.TrainOps: Restores tensors from a V2 checkpoint.
Restore - Class in org.tensorflow.op.train: Restores tensors from a V2 checkpoint.
Restore(Operation) - Constructor for class org.tensorflow.op.train.Restore
Restore.Inputs - Class in org.tensorflow.op.train
restoreSlice(Operand<TString>, Operand<TString>, Operand<TString>, Class<T>, RestoreSlice.Options...) - Method in class org.tensorflow.op.TrainOps: Restores a tensor from checkpoint files.
RestoreSlice<T extends TType> - Class in org.tensorflow.op.train: Restores a tensor from checkpoint files.
RestoreSlice(Operation) - Constructor for class org.tensorflow.op.train.RestoreSlice
RestoreSlice.Inputs - Class in org.tensorflow.op.train
RestoreSlice.Options - Class in org.tensorflow.op.train: Optional attributes for RestoreSlice
result() - Method in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets result.
result() - Method in class org.tensorflow.op.ragged.RaggedTensorToTensor: Gets result.
Result - Class in org.tensorflow: An AutoCloseable wrapper around a Map containing Tensors.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultIndices.
resultIndices() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultIndices.
resultIndices() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultIndices.
resultMax() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMax.
resultMin() - Method in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization: Gets resultMin.
results() - Method in class org.tensorflow.op.tpu.Execute: Gets results.
results() - Method in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables: Gets results.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultShape.
resultShape() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultShape.
resultShape() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultShape.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Gets resultValues.
resultValues() - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Gets resultValues.
resultValues() - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Gets resultValues.
retrieveAllTPUEmbeddingParameters(Long, String, Long, Long) - Method in class org.tensorflow.op.TpuOps: An op that retrieves optimization parameters from embedding to host memory.
RetrieveAllTPUEmbeddingParameters - Class in org.tensorflow.op.tpu: An op that retrieves optimization parameters from embedding to host memory.
RetrieveAllTPUEmbeddingParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters
RetrieveAllTPUEmbeddingParameters.Inputs - Class in org.tensorflow.op.tpu
retrieveTPUEmbeddingAdadeltaParameters(Long, Long, RetrieveTPUEmbeddingAdadeltaParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adadelta embedding parameters.
RetrieveTPUEmbeddingAdadeltaParameters - Class in org.tensorflow.op.tpu: Retrieve Adadelta embedding parameters.
RetrieveTPUEmbeddingAdadeltaParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters
RetrieveTPUEmbeddingAdadeltaParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdadeltaParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdadeltaParameters
retrieveTPUEmbeddingAdagradMomentumParameters(Long, Long, RetrieveTPUEmbeddingAdagradMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adagrad Momentum embedding parameters.
RetrieveTPUEmbeddingAdagradMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad Momentum embedding parameters.
RetrieveTPUEmbeddingAdagradMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters
RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradMomentumParameters
retrieveTPUEmbeddingAdagradParameters(Long, Long, RetrieveTPUEmbeddingAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Adagrad embedding parameters.
RetrieveTPUEmbeddingAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve Adagrad embedding parameters.
RetrieveTPUEmbeddingAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters
RetrieveTPUEmbeddingAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingAdagradParameters
retrieveTPUEmbeddingADAMParameters(Long, Long, RetrieveTPUEmbeddingADAMParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve ADAM embedding parameters.
RetrieveTPUEmbeddingADAMParameters - Class in org.tensorflow.op.tpu: Retrieve ADAM embedding parameters.
RetrieveTPUEmbeddingADAMParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters
RetrieveTPUEmbeddingADAMParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingADAMParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingADAMParameters
retrieveTPUEmbeddingCenteredRMSPropParameters(Long, Long, RetrieveTPUEmbeddingCenteredRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve centered RMSProp embedding parameters.
RetrieveTPUEmbeddingCenteredRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve centered RMSProp embedding parameters.
RetrieveTPUEmbeddingCenteredRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters
RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingCenteredRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingCenteredRMSPropParameters
retrieveTPUEmbeddingFrequencyEstimatorParameters(Long, Long, RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve frequency estimator embedding parameters.
RetrieveTPUEmbeddingFrequencyEstimatorParameters - Class in org.tensorflow.op.tpu: Retrieve frequency estimator embedding parameters.
RetrieveTPUEmbeddingFrequencyEstimatorParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFrequencyEstimatorParameters
retrieveTPUEmbeddingFTRLParameters(Long, Long, RetrieveTPUEmbeddingFTRLParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve FTRL embedding parameters.
RetrieveTPUEmbeddingFTRLParameters - Class in org.tensorflow.op.tpu: Retrieve FTRL embedding parameters.
RetrieveTPUEmbeddingFTRLParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters
RetrieveTPUEmbeddingFTRLParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingFTRLParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingFTRLParameters
retrieveTPUEmbeddingMDLAdagradLightParameters(Long, Long, RetrieveTPUEmbeddingMDLAdagradLightParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve MDL Adagrad Light embedding parameters.
RetrieveTPUEmbeddingMDLAdagradLightParameters - Class in org.tensorflow.op.tpu: Retrieve MDL Adagrad Light embedding parameters.
RetrieveTPUEmbeddingMDLAdagradLightParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters
RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMDLAdagradLightParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMDLAdagradLightParameters
retrieveTPUEmbeddingMomentumParameters(Long, Long, RetrieveTPUEmbeddingMomentumParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve Momentum embedding parameters.
RetrieveTPUEmbeddingMomentumParameters - Class in org.tensorflow.op.tpu: Retrieve Momentum embedding parameters.
RetrieveTPUEmbeddingMomentumParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters
RetrieveTPUEmbeddingMomentumParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingMomentumParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingMomentumParameters
retrieveTPUEmbeddingProximalAdagradParameters(Long, Long, RetrieveTPUEmbeddingProximalAdagradParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve proximal Adagrad embedding parameters.
RetrieveTPUEmbeddingProximalAdagradParameters - Class in org.tensorflow.op.tpu: Retrieve proximal Adagrad embedding parameters.
RetrieveTPUEmbeddingProximalAdagradParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters
RetrieveTPUEmbeddingProximalAdagradParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalAdagradParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalAdagradParameters
retrieveTPUEmbeddingProximalYogiParameters(Long, Long, RetrieveTPUEmbeddingProximalYogiParameters.Options...) - Method in class org.tensorflow.op.TpuOps: The RetrieveTPUEmbeddingProximalYogiParameters operation
RetrieveTPUEmbeddingProximalYogiParameters - Class in org.tensorflow.op.tpu: The RetrieveTPUEmbeddingProximalYogiParameters operation
RetrieveTPUEmbeddingProximalYogiParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters
RetrieveTPUEmbeddingProximalYogiParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingProximalYogiParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingProximalYogiParameters
retrieveTPUEmbeddingRMSPropParameters(Long, Long, RetrieveTPUEmbeddingRMSPropParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve RMSProp embedding parameters.
RetrieveTPUEmbeddingRMSPropParameters - Class in org.tensorflow.op.tpu: Retrieve RMSProp embedding parameters.
RetrieveTPUEmbeddingRMSPropParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters
RetrieveTPUEmbeddingRMSPropParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingRMSPropParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingRMSPropParameters
retrieveTPUEmbeddingStochasticGradientDescentParameters(Long, Long, RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options...) - Method in class org.tensorflow.op.TpuOps: Retrieve SGD embedding parameters.
RetrieveTPUEmbeddingStochasticGradientDescentParameters - Class in org.tensorflow.op.tpu: Retrieve SGD embedding parameters.
RetrieveTPUEmbeddingStochasticGradientDescentParameters(Operation) - Constructor for class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs - Class in org.tensorflow.op.tpu
RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options - Class in org.tensorflow.op.tpu: Optional attributes for RetrieveTPUEmbeddingStochasticGradientDescentParameters
reverse - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A bool (default: False).
reverse - Variable in class org.tensorflow.op.nn.NthElement.Inputs: When set to True, find the nth-largest value in the vector and vice versa.
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumprod.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumprod: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.math.Cumsum.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.Cumsum: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.math.CumulativeLogsumexp.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.math.CumulativeLogsumexp: Sets the reverse option.
reverse(Boolean) - Method in class org.tensorflow.op.nn.NthElement.Options: Sets the reverse option.
reverse(Boolean) - Static method in class org.tensorflow.op.nn.NthElement: Sets the reverse option.
reverse(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Reverses specific dimensions of a tensor.
Reverse<T extends TType> - Class in org.tensorflow.op.core: Reverses specific dimensions of a tensor.
Reverse(Operation) - Constructor for class org.tensorflow.op.core.Reverse
Reverse.Inputs<T extends TType> - Class in org.tensorflow.op.core
reverseIndexMap - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The reverseIndexMap input
reverseIndexMap - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: 1-D.
reverseIndexMap() - Method in class org.tensorflow.op.ragged.RaggedFillEmptyRows: Gets reverseIndexMap.
reverseIndexMap() - Method in class org.tensorflow.op.sparse.SparseFillEmptyRows: Gets reverseIndexMap.
reverseSequence(Operand<T>, Operand<? extends TNumber>, Long, ReverseSequence.Options...) - Method in class org.tensorflow.op.Ops: Reverses variable length slices.
ReverseSequence<T extends TType> - Class in org.tensorflow.op.core: Reverses variable length slices.
ReverseSequence(Operation) - Constructor for class org.tensorflow.op.core.ReverseSequence
ReverseSequence.Inputs<T extends TType> - Class in org.tensorflow.op.core
ReverseSequence.Options - Class in org.tensorflow.op.core: Optional attributes for ReverseSequence
rewrite - Variable in class org.tensorflow.op.strings.RegexReplace.Inputs: The rewrite string to be substituted for the pattern expression where it is matched in the input strings.
rewrite - Variable in class org.tensorflow.op.strings.StaticRegexReplace.Inputs: The rewrite to be applied to the matched expression.
rewriteDataset(Operand<? extends TType>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The RewriteDataset operation
RewriteDataset - Class in org.tensorflow.op.data: The RewriteDataset operation
RewriteDataset(Operation) - Constructor for class org.tensorflow.op.data.RewriteDataset
RewriteDataset.Inputs - Class in org.tensorflow.op.data
rewriteName - Variable in class org.tensorflow.op.data.RewriteDataset.Inputs: The rewriteName input
rfft(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: Real-valued fast Fourier transform.
Rfft - Class in org.tensorflow.op.signal: Real-valued fast Fourier transform.
Rfft(Operation) - Constructor for class org.tensorflow.op.signal.Rfft
Rfft.Inputs - Class in org.tensorflow.op.signal
rfft2d(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: 2D real-valued fast Fourier transform.
Rfft2d - Class in org.tensorflow.op.signal: 2D real-valued fast Fourier transform.
Rfft2d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft2d
Rfft2d.Inputs - Class in org.tensorflow.op.signal
rfft3d(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: 3D real-valued fast Fourier transform.
Rfft3d - Class in org.tensorflow.op.signal: 3D real-valued fast Fourier transform.
Rfft3d(Operation) - Constructor for class org.tensorflow.op.signal.Rfft3d
Rfft3d.Inputs - Class in org.tensorflow.op.signal
rfftNd(Operand<? extends TNumber>, Operand<TInt32>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.SignalOps: ND fast real Fourier transform.
RfftNd - Class in org.tensorflow.op.signal: ND fast real Fourier transform.
RfftNd(Operation) - Constructor for class org.tensorflow.op.signal.RfftNd
RfftNd.Inputs - Class in org.tensorflow.op.signal
rgbToHsv(Operand<T>) - Method in class org.tensorflow.op.ImageOps: Converts one or more images from RGB to HSV.
RgbToHsv<T extends TNumber> - Class in org.tensorflow.op.image: Converts one or more images from RGB to HSV.
RgbToHsv(Operation) - Constructor for class org.tensorflow.op.image.RgbToHsv
RgbToHsv.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
rho - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: Decay factor.
rho - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Decay rate.
rho - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Decay rate.
rhs - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The rhs input
rhs - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.Solve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: Shape is [..., M, K].
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., M, N], representing MxN matrices to the right of multiplication.
rhs - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: Tensor of shape [..., M, K], representing K right-hand sides per each left-hand side.
rhs - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Must be a quantized tensor.
rhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Must be a quantized tensor, same rank as lhs.
rhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Must be a quantized Tensor of Trhs, same rank as lhs.
rhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Must be a 2D Tensor of Tin.
rhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Must be a 2D Tensor of Trhs.
rhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The dilation factor to apply in each spatial dimension of rhs.
rhsDilation - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The dilation factor to apply in each spatial dimension of rhs.
rhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsDilation option.
rhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsDilation option.
rhsDilation(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsDilation option.
rhsDilation(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsDilation option.
rhsDilation(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsDilation option.
rhsDilation(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsDilation option.
rhsDilation(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsDilation option.
rhsDilation(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsDilation option.
rhsQuantizationAxis - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.math.UniformQuantizedAdd.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.math.UniformQuantizedAdd: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDot.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDot: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Options: Sets the rhsQuantizationAxis option.
rhsQuantizationAxis(Long) - Static method in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid: Sets the rhsQuantizationAxis option.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMaxVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The max value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The min value of the quantized data stored in rhs.
rhsQuantizationMinVal - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The min value of the quantized data stored in rhs.
rhsScales - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The float value(s) used as scale factors when quantizing the original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The float value(s) used as scale when quantizing original data that rhs represents.
rhsScales - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The float value(s) used as scale when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The int32 value(s) used as zero points when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The int32 value(s) used as zero points when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rhsZeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The int32 value(s) used as zero_point when quantizing original data that rhs represents.
rightPad - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to use to pad the right side of the ngram sequence.
rightShift(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.BitwiseOps: Elementwise computes the bitwise right-shift of x and y.
RightShift<T extends TNumber> - Class in org.tensorflow.op.bitwise: Elementwise computes the bitwise right-shift of x and y.
RightShift(Operation) - Constructor for class org.tensorflow.op.bitwise.RightShift
RightShift.Inputs<T extends TNumber> - Class in org.tensorflow.op.bitwise
rint(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise integer closest to x.
Rint<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise integer closest to x.
Rint(Operation) - Constructor for class org.tensorflow.op.math.Rint
Rint.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
rngReadAndSkip(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Advance the counter of a counter-based RNG.
RngReadAndSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngReadAndSkip(Operation) - Constructor for class org.tensorflow.op.random.RngReadAndSkip
RngReadAndSkip.Inputs - Class in org.tensorflow.op.random
rngSkip(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.RandomOps: Advance the counter of a counter-based RNG.
RngSkip - Class in org.tensorflow.op.random: Advance the counter of a counter-based RNG.
RngSkip(Operation) - Constructor for class org.tensorflow.op.random.RngSkip
RngSkip.Inputs - Class in org.tensorflow.op.random
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The rnnMode attribute
rnnMode - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The rnnMode attribute
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the rnnMode option.
rnnMode(String) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the rnnMode option.
rnnMode(String) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the rnnMode option.
roiProbabilities() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets roiProbabilities.
rois() - Method in class org.tensorflow.op.image.GenerateBoundingBoxProposals: Gets rois.
roll(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Rolls the elements of a tensor along an axis.
Roll<T extends TType> - Class in org.tensorflow.op.core: Rolls the elements of a tensor along an axis.
Roll(Operation) - Constructor for class org.tensorflow.op.core.Roll
Roll.Inputs<T extends TType> - Class in org.tensorflow.op.core
round(Operand<T>) - Method in class org.tensorflow.op.MathOps: Rounds the values of a tensor to the nearest integer, element-wise.
Round<T extends TType> - Class in org.tensorflow.op.math: Rounds the values of a tensor to the nearest integer, element-wise.
Round(Operation) - Constructor for class org.tensorflow.op.math.Round
Round.Inputs<T extends TType> - Class in org.tensorflow.op.math
roundMode - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The roundMode attribute
roundMode - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents.
roundMode(String) - Method in class org.tensorflow.op.quantization.Quantize.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.Quantize: Sets the roundMode option.
roundMode(String) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the roundMode option.
roundMode(String) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the roundMode option.
rounds - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The number of rounds to use the in block cipher.
rounds(Long) - Method in class org.tensorflow.op.core.RandomIndexShuffle.Options: Sets the rounds option.
rounds(Long) - Static method in class org.tensorflow.op.core.RandomIndexShuffle: Sets the rounds option.
rowIds - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The rowIds input
rowIds - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The rowIds input
rowIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The rowIds input
rowIds() - Method in class org.tensorflow.op.tpu.ConvertToCooTensor: Gets rowIds.
rowPartitionTensors - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The rowPartitionTensors input
rowPartitionTypes - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The types of the row partition tensors.
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The rowPointers input
rowPointers - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The rowPointers input
rowPointers() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets rowPointers.
rowPointers() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets rowPointers.
rowPointersUnpaddedSize() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets rowPointersUnpaddedSize.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPoolingSequence - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: row pooling sequence, form pooling region with col_pooling_sequence.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalAvgPool: Gets rowPoolingSequence.
rowPoolingSequence() - Method in class org.tensorflow.op.nn.FractionalMaxPool: Gets rowPoolingSequence.
rowPtrs() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets rowPtrs.
rowRemapping - Variable in class org.tensorflow.op.linalg.LoadAndRemapMatrix.Inputs: An int Tensor of row remappings (generally created by generate_vocab_remapping).
rowShape - Variable in class org.tensorflow.op.data.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowShape - Variable in class org.tensorflow.op.data.experimental.DenseToSparseBatchDataset.Inputs: A vector representing the dense shape of each row in the produced SparseTensor.
rowSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: Outermost row-splits that were used as input to the RaggedTensorToVariant op.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecode: Gets rowSplits.
rowSplits() - Method in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets: Gets rowSplits.
rsqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes reciprocal of square root of x element-wise.
Rsqrt<T extends TType> - Class in org.tensorflow.op.math: Computes reciprocal of square root of x element-wise.
Rsqrt(Operation) - Constructor for class org.tensorflow.op.math.Rsqrt
Rsqrt.Inputs<T extends TType> - Class in org.tensorflow.op.math
rsqrtGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the rsqrt of x wrt its input.
RsqrtGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the rsqrt of x wrt its input.
RsqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.RsqrtGrad
RsqrtGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The flat_values for the RaggedTensor.
rtDenseValues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A Tensor representing the values of the input RaggedTensor.
rtDenseValues() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtDenseValues.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The row_splits for the RaggedTensor.
rtNestedSplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: A list of one or more Tensors representing the splits of the input RaggedTensor.
rtNestedSplits() - Method in class org.tensorflow.op.ragged.RaggedRange: Gets rtNestedSplits.
Rtype - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Rtype attribute
run() - Method in class org.tensorflow.Session.Runner: Execute the graph fragments necessary to compute all requested fetches.
run(String) - Method in class org.tensorflow.Session: Executes an operation in the graph with the given name.
run(Op) - Method in class org.tensorflow.Session: Executes an operation in the graph.
run(Signature, Map<String, Tensor>) - Method in class org.tensorflow.Session: Create and call a function, returning the results.
runAndFetchMetadata() - Method in class org.tensorflow.Session.Runner: Execute graph fragments to compute requested fetches and return metadata about the run.
runName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The runName input
runner() - Method in class org.tensorflow.Session: Create a Runner to execute graph operations and evaluate Tensors.
Runner() - Constructor for class org.tensorflow.Session.Runner

S

s() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets s.
s() - Method in class org.tensorflow.op.linalg.Svd: Gets s.
S - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The S attribute
S - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The S attribute
s0 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s0 input
s0 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s0 input
s1 - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The s1 input
s1 - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The s1 input
salt - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: Specify the salt that will be used by the siphash function.
sample - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The sample input
sampleCount - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The sampleCount attribute
sampleCount - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The sampleCount attribute
sampledCandidates - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The sampled_candidates output of CandidateSampler.
sampledCandidates() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets sampledCandidates.
sampledCandidates() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledCandidates.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets sampledExpectedCount.
sampledExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets sampledExpectedCount.
sampleDistortedBoundingBox(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, SampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox<T extends TNumber> - Class in org.tensorflow.op.image: Generate a single randomly distorted bounding box for an image.
SampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.SampleDistortedBoundingBox
SampleDistortedBoundingBox.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
SampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for SampleDistortedBoundingBox
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: A list of rank 1 Tensors specifying the training example and feature to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndices - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of rank 1 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndicesOrRowSplits - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 2 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleIndicesOrRowSplits - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: A list of rank 2 Tensors specifying the training example to which the corresponding embedding_indices and aggregation_weights values belong.
sampleRate - Variable in class org.tensorflow.op.audio.EncodeWav.Inputs: Scalar containing the sample frequency.
sampleRate - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: How many samples per second the source audio used.
sampleRate - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: The sample rate of the signal in hertz.
sampleRate - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The sampleRate input
sampleRate() - Method in class org.tensorflow.op.audio.DecodeWav: Gets sampleRate.
samples() - Method in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization: Gets samples.
samples() - Method in class org.tensorflow.op.math.SobolSample: Gets samples.
sampleSplits - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The sampleSplits input
sampleSplits - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of rank 1 Tensors specifying the break points for splitting embedding_indices and aggregation_weights into rows.
samplingDataset(Operand<? extends TType>, Operand<TFloat32>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset - Class in org.tensorflow.op.data: Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
SamplingDataset(Operation) - Constructor for class org.tensorflow.op.data.SamplingDataset
SamplingDataset.Inputs - Class in org.tensorflow.op.data
sanitize - Variable in class org.tensorflow.op.core.DecodeProto.Inputs: Whether to sanitize the result or not.
sanitize(Boolean) - Method in class org.tensorflow.op.core.DecodeProto.Options: Sets the sanitize option.
sanitize(Boolean) - Static method in class org.tensorflow.op.core.DecodeProto: Sets the sanitize option.
save(String) - Method in class org.tensorflow.Session: Saves the actual state of the variables of this session's graph.
save(String) - Method in class org.tensorflow.SessionFunction: Save this function using SavedModelBundle.
save(Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps: Saves tensors in V2 checkpoint format.
Save - Class in org.tensorflow.op.train: Saves tensors in V2 checkpoint format.
Save(Operation) - Constructor for class org.tensorflow.op.train.Save
Save.Inputs - Class in org.tensorflow.op.train
saveDataset(Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, SaveDataset.Options...) - Method in class org.tensorflow.op.DataOps: The SaveDatasetV2 operation
SaveDataset - Class in org.tensorflow.op.data: The SaveDatasetV2 operation
SaveDataset(Operation) - Constructor for class org.tensorflow.op.data.SaveDataset
SaveDataset.Inputs - Class in org.tensorflow.op.data
SaveDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SaveDataset
SavedModelBundle - Class in org.tensorflow: SavedModelBundle represents a model loaded from storage.
SavedModelBundle.Exporter - Class in org.tensorflow: Options for exporting a SavedModel.
SavedModelBundle.Loader - Class in org.tensorflow: Options for loading a SavedModel.
saveSlices(Operand<TString>, Operand<TString>, Operand<TString>, Iterable<Operand<?>>) - Method in class org.tensorflow.op.TrainOps: Saves input tensors slices to disk.
SaveSlices - Class in org.tensorflow.op.train: Saves input tensors slices to disk.
SaveSlices(Operation) - Constructor for class org.tensorflow.op.train.SaveSlices
SaveSlices.Inputs - Class in org.tensorflow.op.train
scalarOf(boolean) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a single boolean value.
scalarOf(byte) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a single byte value.
scalarOf(double) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a single double value.
scalarOf(float) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a single float value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a single float value.
scalarOf(float) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a single float value.
scalarOf(int) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a single int value.
scalarOf(long) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a single long value.
scalarOf(short) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor for storing a single short value.
scalarOf(String) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a string scalar.
scalarOf(Scope, boolean) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single boolean element.
scalarOf(Scope, byte) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single byte element.
scalarOf(Scope, double) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single double element.
scalarOf(Scope, float) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single float element.
scalarOf(Scope, int) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single int element.
scalarOf(Scope, long) - Static method in class org.tensorflow.op.core.Constant: Creates a constant containing a single long element.
scalarOf(Scope, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using the default, UTF-8 encoding.
scalarOf(Scope, Charset, String) - Static method in class org.tensorflow.op.core.Constant: Creates a String constant using a specified encoding.
scalarSummary(Operand<TString>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with scalar values.
ScalarSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with scalar values.
ScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.ScalarSummary
ScalarSummary.Inputs - Class in org.tensorflow.op.summary
scale - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: A float scale to add to the saturation.
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The scale input
scale - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The scale input
scale - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
scale - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 1D Tensor for scaling factor, to scale the normalized x.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAfterNormalization - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A bool indicating whether the resulted tensor needs to be multiplied with gamma.
scaleAndTranslate(Operand<? extends TNumber>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslate.Options...) - Method in class org.tensorflow.op.ImageOps: The ScaleAndTranslate operation
ScaleAndTranslate - Class in org.tensorflow.op.image: The ScaleAndTranslate operation
ScaleAndTranslate(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslate
ScaleAndTranslate.Inputs - Class in org.tensorflow.op.image
ScaleAndTranslate.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslate
scaleAndTranslateGrad(Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TFloat32>, ScaleAndTranslateGrad.Options...) - Method in class org.tensorflow.op.ImageOps: The ScaleAndTranslateGrad operation
ScaleAndTranslateGrad<T extends TNumber> - Class in org.tensorflow.op.image: The ScaleAndTranslateGrad operation
ScaleAndTranslateGrad(Operation) - Constructor for class org.tensorflow.op.image.ScaleAndTranslateGrad
ScaleAndTranslateGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
ScaleAndTranslateGrad.Options - Class in org.tensorflow.op.image: Optional attributes for ScaleAndTranslateGrad
scaleBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets scaleBackprop.
scales - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The float value(s) used as scale(s) when quantizing operand, min and max.
scales - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The float value(s) used as scale(s) when quantizing original data that input represents.
scales - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The float value(s) to use as scale(s) to quantize input.
scanDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset successively reduces f over the elements of input_dataset.
scanDataset(Operand<? extends TType>, Iterable<Operand<?>>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, ScanDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset - Class in org.tensorflow.op.data: Creates a dataset successively reduces f over the elements of input_dataset.
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ScanDataset
ScanDataset(Operation) - Constructor for class org.tensorflow.op.data.ScanDataset
ScanDataset.Inputs - Class in org.tensorflow.op.data.experimental
ScanDataset.Inputs - Class in org.tensorflow.op.data
ScanDataset.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ScanDataset
ScanDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ScanDataset
scatterAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterAdd.Options...) - Method in class org.tensorflow.op.Ops: Adds sparse updates to a variable reference.
ScatterAdd<T extends TType> - Class in org.tensorflow.op.core: Adds sparse updates to a variable reference.
ScatterAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterAdd
ScatterAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterAdd
scatterDiv(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterDiv.Options...) - Method in class org.tensorflow.op.Ops: Divides a variable reference by sparse updates.
ScatterDiv<T extends TType> - Class in org.tensorflow.op.core: Divides a variable reference by sparse updates.
ScatterDiv(Operation) - Constructor for class org.tensorflow.op.core.ScatterDiv
ScatterDiv.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterDiv.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterDiv
scatterMax(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMax.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the max operation.
ScatterMax<T extends TNumber> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the max operation.
ScatterMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterMax
ScatterMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ScatterMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMax
scatterMin(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMin.Options...) - Method in class org.tensorflow.op.Ops: Reduces sparse updates into a variable reference using the min operation.
ScatterMin<T extends TNumber> - Class in org.tensorflow.op.core: Reduces sparse updates into a variable reference using the min operation.
ScatterMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterMin
ScatterMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
ScatterMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMin
scatterMul(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterMul.Options...) - Method in class org.tensorflow.op.Ops: Multiplies sparse updates into a variable reference.
ScatterMul<T extends TType> - Class in org.tensorflow.op.core: Multiplies sparse updates into a variable reference.
ScatterMul(Operation) - Constructor for class org.tensorflow.op.core.ScatterMul
ScatterMul.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterMul.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterMul
scatterNd(Operand<T>, Operand, Operand<T>) - Method in class org.tensorflow.op.Ops: Scatters updates into a tensor of shape shape according to indices.
ScatterNd - Class in org.tensorflow.op.core: Scatters updates into a tensor of shape shape according to indices.
ScatterNd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNd
ScatterNd.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.core
scatterNdAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdAdd.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd<T extends TType> - Class in org.tensorflow.op.core: Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdAdd
ScatterNdAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdAdd.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdAdd
scatterNdMax(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMax.Options...) - Method in class org.tensorflow.op.Ops: Computes element-wise maximum.
ScatterNdMax<T extends TType> - Class in org.tensorflow.op.core: Computes element-wise maximum.
ScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMax
ScatterNdMax.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdMax.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMax
scatterNdMin(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdMin.Options...) - Method in class org.tensorflow.op.Ops: Computes element-wise minimum.
ScatterNdMin<T extends TType> - Class in org.tensorflow.op.core: Computes element-wise minimum.
ScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdMin
ScatterNdMin.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdMin.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdMin
scatterNdNonAliasingAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd<T extends TType> - Class in org.tensorflow.op.core: Applies sparse addition to input using individual values or slices from updates according to indices indices.
ScatterNdNonAliasingAdd(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdNonAliasingAdd
ScatterNdNonAliasingAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
scatterNdSub(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdSub.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub<T extends TType> - Class in org.tensorflow.op.core: Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdSub
ScatterNdSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdSub
scatterNdUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterNdUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate<T extends TType> - Class in org.tensorflow.op.core: Applies sparse updates to individual values or slices within a given variable according to indices.
ScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterNdUpdate
ScatterNdUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterNdUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterNdUpdate
scatterSub(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterSub.Options...) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates to a variable reference.
ScatterSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts sparse updates to a variable reference.
ScatterSub(Operation) - Constructor for class org.tensorflow.op.core.ScatterSub
ScatterSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterSub.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterSub
scatterUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>, ScatterUpdate.Options...) - Method in class org.tensorflow.op.Ops: Applies sparse updates to a variable reference.
ScatterUpdate<T extends TType> - Class in org.tensorflow.op.core: Applies sparse updates to a variable reference.
ScatterUpdate(Operation) - Constructor for class org.tensorflow.op.core.ScatterUpdate
ScatterUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
ScatterUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for ScatterUpdate
scheme - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: File system scheme.
scientific - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use scientific notation for floating point numbers.
scientific(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the scientific option.
scientific(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the scientific option.
scope() - Method in class org.tensorflow.op.Ops: Returns the current scope of this API
Scope - Interface in org.tensorflow.op: Manages groups of related properties when creating Tensorflow Operations, such as a common name prefix.
scores - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 3-D float tensor of shape [batch_size, num_boxes, num_classes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.GenerateBoundingBoxProposals.Inputs: A 4-D float tensor of shape [num_images, height, width, num_achors] containing scores of the boxes for given anchors, can be unsorted.
scores - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scores - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 1-D float tensor of shape [num_boxes] representing a single score corresponding to each box (each row of boxes).
scoreThreshold - Variable in class org.tensorflow.op.image.CombinedNonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
scoreThreshold - Variable in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps.Inputs: A 0-D float tensor representing the threshold for deciding when to remove boxes based on score.
sdcaFprint(Operand<TString>) - Method in class org.tensorflow.op.TrainOps: Computes fingerprints of the input strings.
SdcaFprint - Class in org.tensorflow.op.train: Computes fingerprints of the input strings.
SdcaFprint(Operation) - Constructor for class org.tensorflow.op.train.SdcaFprint
SdcaFprint.Inputs - Class in org.tensorflow.op.train
sdcaOptimizer(Iterable<Operand<TInt64>>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, Operand<TFloat32>, Iterable<Operand<TInt64>>, Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<TFloat32>, String, Float, Float, Long, Long, SdcaOptimizer.Options...) - Method in class org.tensorflow.op.TrainOps: Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for linear models with L1 + L2 regularization.
SdcaOptimizer - Class in org.tensorflow.op.train: Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for linear models with L1 + L2 regularization.
SdcaOptimizer(Operation) - Constructor for class org.tensorflow.op.train.SdcaOptimizer
SdcaOptimizer.Inputs - Class in org.tensorflow.op.train
SdcaOptimizer.Options - Class in org.tensorflow.op.train: Optional attributes for SdcaOptimizer
sdcaShrinkL1(Iterable<Operand<TFloat32>>, Float, Float) - Method in class org.tensorflow.op.TrainOps: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1 - Class in org.tensorflow.op.train: Applies L1 regularization shrink step on the parameters.
SdcaShrinkL1(Operation) - Constructor for class org.tensorflow.op.train.SdcaShrinkL1
SdcaShrinkL1.Inputs - Class in org.tensorflow.op.train
seed - Variable in class org.tensorflow.op.cluster.KMC2ChainInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.cluster.KmeansPlusPlusInitialization.Inputs: Scalar.
seed - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: A tensor of dtype Tseed and shape [3] or [n, 3].
seed - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A scalar seed for the random number generator.
seed - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed of random number generator.
seed - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed input
seed - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: If either seed or seed2 are set to non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: 1-D with shape [2].
seed - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed attribute
seed - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed input
seed - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.Multinomial.Inputs: If either seed or seed2 is set to be non-zero, the internal random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: 2 seeds (shape [2]).
seed - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
seed(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed option.
seed(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed option.
seed(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed option.
seed2 - Variable in class org.tensorflow.op.data.experimental.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A second scalar seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.data.SamplingDataset.Inputs: A scalar representing seed2 of random number generator.
seed2 - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The seed2 attribute
seed2 - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.AnonymousRandomSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.AnonymousSeedGenerator.Inputs: The seed2 input
seed2 - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.Multinomial.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: A second seed to avoid seed collision.
seed2 - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: An second seed to avoid seed collision.
seed2(Long) - Method in class org.tensorflow.op.image.RandomCrop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.RandomCrop: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.ComputeAccidentalHits.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.ComputeAccidentalHits: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRnnParamsSize.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRnnParamsSize: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalAvgPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalAvgPool: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.FractionalMaxPool.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.FractionalMaxPool: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.AllCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.AllCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.LogUniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.LogUniformCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.Multinomial.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.Multinomial: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.ParameterizedTruncatedNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomGamma.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomGamma: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomPoisson.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomPoisson: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomShuffle.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomShuffle: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomStandardNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomStandardNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniform.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniform: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.RandomUniformInt.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.RandomUniformInt: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.TruncatedNormal.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.TruncatedNormal: Sets the seed2 option.
seed2(Long) - Method in class org.tensorflow.op.random.UniformCandidateSampler.Options: Sets the seed2 option.
seed2(Long) - Static method in class org.tensorflow.op.random.UniformCandidateSampler: Sets the seed2 option.
seedGenerator - Variable in class org.tensorflow.op.data.RandomDataset.Inputs: A resource for the random number seed generator.
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleAndRepeatDataset.Inputs: The seedGenerator input
seedGenerator - Variable in class org.tensorflow.op.data.ShuffleDataset.Inputs: The seedGenerator input
segmentIds - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: A 1-D tensor whose size is equal to the size of data's first dimension.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: A tensor whose shape is a prefix of data.shape.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: segment_ids passed to the corresponding SparseSegmentMean op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSqrtN op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: segment_ids passed to the corresponding SparseSegmentSum op.
segmentIds - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: A 1-D tensor.
segmentIds - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The segmentIds input
segmentMax(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
SegmentMax<T extends TNumber> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
SegmentMax(Operation) - Constructor for class org.tensorflow.op.math.SegmentMax
SegmentMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
segmentMean(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the mean along segments of a tensor.
SegmentMean<T extends TType> - Class in org.tensorflow.op.math: Computes the mean along segments of a tensor.
SegmentMean(Operation) - Constructor for class org.tensorflow.op.math.SegmentMean
SegmentMean.Inputs<T extends TType> - Class in org.tensorflow.op.math
segmentMin(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
SegmentMin<T extends TNumber> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
SegmentMin(Operation) - Constructor for class org.tensorflow.op.math.SegmentMin
SegmentMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
segmentProd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
SegmentProd<T extends TType> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
SegmentProd(Operation) - Constructor for class org.tensorflow.op.math.SegmentProd
SegmentProd.Inputs<T extends TType> - Class in org.tensorflow.op.math
segments() - Method in class org.tensorflow.op.nn.IsotonicRegression: Gets segments.
segmentSum(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
SegmentSum<T extends TType> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
SegmentSum(Operation) - Constructor for class org.tensorflow.op.math.SegmentSum
SegmentSum.Inputs<T extends TType> - Class in org.tensorflow.op.math
select(Operand<TBool>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: The SelectV2 operation
Select<T extends TType> - Class in org.tensorflow.op.core: The SelectV2 operation
Select(Operation) - Constructor for class org.tensorflow.op.core.Select
Select.Inputs<T extends TType> - Class in org.tensorflow.op.core
selectCols - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The selectCols input
selectCols - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: The selectCols attribute
selectCols(Long...) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(Long...) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectCols(List<Long>) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the selectCols option.
selectCols(List<Long>) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the selectCols option.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedIndices.
selectedIndices() - Method in class org.tensorflow.op.image.NonMaxSuppressionWithOverlaps: Gets selectedIndices.
selectedScores() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets selectedScores.
selectorInputDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
selectorInputDataset - Variable in class org.tensorflow.op.data.experimental.DirectedInterleaveDataset.Inputs: A dataset of scalar DT_INT64 elements that determines which of the N data inputs should produce the next output element.
selfAdjointEig(Operand<T>, SelfAdjointEig.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig<T extends TType> - Class in org.tensorflow.op.linalg: Computes the eigen decomposition of one or more square self-adjoint matrices.
SelfAdjointEig(Operation) - Constructor for class org.tensorflow.op.linalg.SelfAdjointEig
SelfAdjointEig.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
SelfAdjointEig.Options - Class in org.tensorflow.op.linalg: Optional attributes for SelfAdjointEig
selu(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu<T extends TNumber> - Class in org.tensorflow.op.nn: Computes scaled exponential linear: scale * alpha * (exp(features) - 1) if < 0, scale * features otherwise.
Selu(Operation) - Constructor for class org.tensorflow.op.nn.Selu
Selu.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
seluGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes gradients for the scaled exponential linear (Selu) operation.
SeluGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes gradients for the scaled exponential linear (Selu) operation.
SeluGrad(Operation) - Constructor for class org.tensorflow.op.nn.SeluGrad
SeluGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
send(Operand<? extends TType>, String, String, Long, String, Send.Options...) - Method in class org.tensorflow.op.Ops: Sends the named tensor from send_device to recv_device.
Send - Class in org.tensorflow.op.core: Sends the named tensor from send_device to recv_device.
Send(Operation) - Constructor for class org.tensorflow.op.core.Send
Send.Inputs - Class in org.tensorflow.op.core
Send.Options - Class in org.tensorflow.op.core: Optional attributes for Send
sendDevice - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the device sending the tensor.
sendDevice - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the device sending the tensor.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Recv.Inputs: The current incarnation of send_device.
sendDeviceIncarnation - Variable in class org.tensorflow.op.core.Send.Inputs: The current incarnation of send_device.
sendKey - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The sendKey attribute
sendKey(String) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the sendKey option.
sendKey(String) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the sendKey option.
sendTPUEmbeddingGradients(Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, String, SendTPUEmbeddingGradients.Options...) - Method in class org.tensorflow.op.TpuOps: Performs gradient updates of embedding tables.
SendTPUEmbeddingGradients - Class in org.tensorflow.op.tpu: Performs gradient updates of embedding tables.
SendTPUEmbeddingGradients(Operation) - Constructor for class org.tensorflow.op.tpu.SendTPUEmbeddingGradients
SendTPUEmbeddingGradients.Inputs - Class in org.tensorflow.op.tpu
SendTPUEmbeddingGradients.Options - Class in org.tensorflow.op.tpu: Optional attributes for SendTPUEmbeddingGradients
sep - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: string used when joining a list of string inputs, can be used as separator later.
sep - Variable in class org.tensorflow.op.strings.StringSplit.Inputs: 0-D string Tensor, the delimiter character.
separator - Variable in class org.tensorflow.op.strings.Join.Inputs: string, an optional join separator.
separator - Variable in class org.tensorflow.op.strings.ReduceJoin.Inputs: The separator to use when joining.
separator - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The string to append between elements of the token.
separator - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The separator attribute
separator(String) - Method in class org.tensorflow.op.strings.Join.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.Join: Sets the separator option.
separator(String) - Method in class org.tensorflow.op.strings.ReduceJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.ReduceJoin: Sets the separator option.
separator(String) - Method in class org.tensorflow.op.strings.UnsortedSegmentJoin.Options: Sets the separator option.
separator(String) - Static method in class org.tensorflow.op.strings.UnsortedSegmentJoin: Sets the separator option.
seqDim - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The dimension which is partially reversed.
seqLengths - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: 1-D with length input.dims(batch_dim) and max(seq_lengths) <= input.dims(seq_dim)
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Maximum time length actually used by this input.
seqLenMax - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Maximum time length actually used by this input.
sequenceLength - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: A vector containing sequence lengths, size (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: A vector containing sequence lengths, size (batch_size).
sequenceLength - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: A vector containing sequence lengths (batch).
sequenceLength - Variable in class org.tensorflow.op.nn.CTCLossV2.Inputs: A vector containing sequence lengths (batch).
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The sequenceLengths input
sequenceLengths - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The sequenceLengths input
serialized - Variable in class org.tensorflow.op.data.DeserializeIterator.Inputs: A variant tensor storing the state of the iterator contained in the resource.
serialized - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A scalar or vector containing binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: A scalar or vector containing binary serialized SequenceExample protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A vector containing a batch of binary serialized Example protos.
serialized - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: A scalar containing a binary serialized SequenceExample proto.
serialized - Variable in class org.tensorflow.op.io.ParseTensor.Inputs: A scalar string containing a serialized TensorProto proto.
serialized() - Method in class org.tensorflow.op.data.SerializeIterator: Gets serialized.
serialized() - Method in class org.tensorflow.op.io.SerializeTensor: Gets serialized.
serializedOptions - Variable in class org.tensorflow.op.data.OptionsDataset.Inputs: A tf.string scalar tf.Tensor of serialized tf.data.Options protocol buffer.
serializedOptions() - Method in class org.tensorflow.op.core.GetOptions: Gets serializedOptions.
serializedSparse - Variable in class org.tensorflow.op.io.DeserializeManySparse.Inputs: 2-D, The N serialized SparseTensor objects.
serializedSparse - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The serialized SparseTensor objects.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeManySparse: Gets serializedSparse.
serializedSparse() - Method in class org.tensorflow.op.io.SerializeSparse: Gets serializedSparse.
serializedSummaryMetadata - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A serialized SummaryMetadata proto.
serializeIterator(Operand<? extends TType>, SerializeIterator.Options...) - Method in class org.tensorflow.op.DataOps: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator - Class in org.tensorflow.op.data: Converts the given resource_handle representing an iterator to a variant tensor.
SerializeIterator(Operation) - Constructor for class org.tensorflow.op.data.SerializeIterator
SerializeIterator.Inputs - Class in org.tensorflow.op.data
SerializeIterator.Options - Class in org.tensorflow.op.data: Optional attributes for SerializeIterator
serializeManySparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
serializeManySparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.IoOps: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse - Class in org.tensorflow.op.io: Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object.
SerializeManySparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeManySparse
SerializeManySparse.Inputs - Class in org.tensorflow.op.io
serializeSparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
serializeSparse(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.IoOps: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse - Class in org.tensorflow.op.io: Serialize a SparseTensor into a [3] Tensor object.
SerializeSparse(Operation) - Constructor for class org.tensorflow.op.io.SerializeSparse
SerializeSparse.Inputs - Class in org.tensorflow.op.io
serializeTensor(Operand<? extends TType>) - Method in class org.tensorflow.op.IoOps: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor - Class in org.tensorflow.op.io: Transforms a Tensor into a serialized TensorProto proto.
SerializeTensor(Operation) - Constructor for class org.tensorflow.op.io.SerializeTensor
SerializeTensor.Inputs - Class in org.tensorflow.op.io
Server - Class in org.tensorflow: An in-process TensorFlow server, for use in distributed training.
Server(ServerDef) - Constructor for class org.tensorflow.Server: Constructs a new instance of server.
session() - Method in class org.tensorflow.SavedModelBundle: Returns the Session with which to perform computation using the model.
session() - Method in class org.tensorflow.SessionFunction
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, boolean) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph.
Session(Graph, boolean, ConfigProto) - Constructor for class org.tensorflow.Session: Construct and optionally initialize a new session with the associated Graph and configuration options.
Session(Graph, ConfigProto) - Constructor for class org.tensorflow.Session: Construct a new session with the associated Graph and configuration options.
Session.Runner - Class in org.tensorflow: Run Operations and evaluate Tensors.
SessionFunction - Class in org.tensorflow: A callable function backed by a session.
SessionFunction(Signature, Session) - Constructor for class org.tensorflow.SessionFunction
set1 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n.
set1 - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: Tensor with rank n.
set1Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set1Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set1Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2 - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: Tensor with rank n.
set2Indices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Indices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 2D Tensor, indices of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Shape - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, shape of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
set2Values - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: 1D Tensor, values of a SparseTensor.
setAttr(String, boolean) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean) - Method in interface org.tensorflow.OperationBuilder: Set the boolean value of an attribute of the operation being built.
setAttr(String, boolean[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, boolean[]) - Method in interface org.tensorflow.OperationBuilder: Set the boolean values of an attribute of the operation being built.
setAttr(String, byte[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, byte[]) - Method in interface org.tensorflow.OperationBuilder: Set the byte values of an attribute of the operation being built.
setAttr(String, float) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float) - Method in interface org.tensorflow.OperationBuilder: Set the float value of an attribute of the operation being built.
setAttr(String, float[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, float[]) - Method in interface org.tensorflow.OperationBuilder: Set the float values of an attribute of the operation being built.
setAttr(String, long) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long) - Method in interface org.tensorflow.OperationBuilder: Set the long value of an attribute of the operation being built.
setAttr(String, long[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, long[]) - Method in interface org.tensorflow.OperationBuilder: Set the long values of an attribute of the operation being built.
setAttr(String, String) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String) - Method in interface org.tensorflow.OperationBuilder: Set the string value of an attribute of the operation being built.
setAttr(String, String[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, String[]) - Method in interface org.tensorflow.OperationBuilder: Set the string values of an attribute of the operation being built.
setAttr(String, ConcreteFunction) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction) - Method in interface org.tensorflow.OperationBuilder: Set the function value of an attribute of the operation being built.
setAttr(String, ConcreteFunction[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, ConcreteFunction[]) - Method in interface org.tensorflow.OperationBuilder: Set the function values of an attribute of the operation being built.
setAttr(String, Shape) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape) - Method in interface org.tensorflow.OperationBuilder: Set the shape value of an attribute of the operation being built.
setAttr(String, Shape[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Shape[]) - Method in interface org.tensorflow.OperationBuilder: Set the shape values of an attribute of the operation being built.
setAttr(String, AttrValue) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, AttrValue) - Method in interface org.tensorflow.OperationBuilder: Set value of an attribute of the operation being built.
setAttr(String, DataType) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType) - Method in interface org.tensorflow.OperationBuilder: Set the type value of an attribute of the operation being built.
setAttr(String, DataType[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, DataType[]) - Method in interface org.tensorflow.OperationBuilder: Set the type values of an attribute of the operation being built.
setAttr(String, Tensor) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor) - Method in interface org.tensorflow.OperationBuilder: Set the tensor value of an attribute of the operation being built.
setAttr(String, Tensor[]) - Method in class org.tensorflow.GraphOperationBuilder
setAttr(String, Tensor[]) - Method in interface org.tensorflow.OperationBuilder: Set the tensor values of an attribute of the operation being built.
setDevice(String) - Method in class org.tensorflow.GraphOperationBuilder
setDevice(String) - Method in interface org.tensorflow.OperationBuilder: Set the device requested for computing the operation being built.
setDiff1d(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
setDiff1d(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.Ops: Computes the difference between two lists of numbers or strings.
SetDiff1d<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core: Computes the difference between two lists of numbers or strings.
SetDiff1d(Operation) - Constructor for class org.tensorflow.op.core.SetDiff1d
SetDiff1d.Inputs<T extends TType> - Class in org.tensorflow.op.core
setIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: 2D Tensor, indices of a SparseTensor.
setOperation - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The setOperation attribute
setOperation - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The setOperation attribute
setOptions(RunOptions) - Method in class org.tensorflow.Session.Runner: Set options (typically for debugging) for this run.
setShape - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, shape of a SparseTensor.
setSize(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, SetSize.Options...) - Method in class org.tensorflow.op.Ops: Number of unique elements along last dimension of input set.
SetSize - Class in org.tensorflow.op.core: Number of unique elements along last dimension of input set.
SetSize(Operation) - Constructor for class org.tensorflow.op.core.SetSize
SetSize.Inputs - Class in org.tensorflow.op.core
SetSize.Options - Class in org.tensorflow.op.core: Optional attributes for SetSize
setStatsAggregatorDataset(Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalSetStatsAggregatorDataset operation
setStatsAggregatorDataset(Operand<? extends TType>, Operand<? extends TType>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSetStatsAggregatorDataset operation
SetStatsAggregatorDataset - Class in org.tensorflow.op.data: The SetStatsAggregatorDataset operation
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset
SetStatsAggregatorDataset(Operation) - Constructor for class org.tensorflow.op.data.SetStatsAggregatorDataset
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data.experimental
SetStatsAggregatorDataset.Inputs - Class in org.tensorflow.op.data
setValues - Variable in class org.tensorflow.op.core.SetSize.Inputs: 1D Tensor, values of a SparseTensor.
shape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: An 1-D int Tensor.
shape - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The N int32 or int64 vectors representing shape of tensors being concatenated.
shape - Variable in class org.tensorflow.op.core.Empty.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The expected (possibly partially specified) shape of the input tensor.
shape - Variable in class org.tensorflow.op.core.FakeParam.Inputs: The purported shape of the output.
shape - Variable in class org.tensorflow.op.core.ImmutableConst.Inputs: Shape of the returned tensor.
shape - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The shape attribute
shape - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension.
shape - Variable in class org.tensorflow.op.core.Placeholder.Inputs: (Optional) The shape of the tensor.
shape - Variable in class org.tensorflow.op.core.PlaceholderWithDefault.Inputs: The (possibly partial) shape of the tensor.
shape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.Reshape.Inputs: Defines the shape of the output tensor.
shape - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shape input
shape - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: The (possibly partially specified) shape of this variable.
shape - Variable in class org.tensorflow.op.core.Variable.Inputs: The shape of the variable tensor.
shape - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The shape attribute
shape - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: Shape of elements of inputs.
shape - Variable in class org.tensorflow.op.Ops
shape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The desired shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomPoisson.Inputs: 1-D integer tensor.
shape - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The shape input
shape - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The shape of the output tensor.
shape - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: The shape of the values.
shape - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D.
shape - Variable in class org.tensorflow.op.tpu.InfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.InfeedEnqueue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeue.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.OutfeedDequeueV2.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.tpu.Prelinearize.Inputs: The shape of the tensor.
shape - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: The shape of the values, can be [], in which case shape is unknown.
shape - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The shape attribute
shape - Variable in class org.tensorflow.Signature.TensorDescription: The shape of the tensor
shape() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets shape.
shape() - Method in class org.tensorflow.op.strings.StringSplit: Gets shape.
shape() - Method in interface org.tensorflow.Operand: Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
shape() - Method in class org.tensorflow.Output: Returns the (possibly partially known) shape of the tensor referred to by this output.
shape() - Method in class org.tensorflow.RawTensor
shape() - Method in interface org.tensorflow.Tensor: Returns the shape of the tensor.
shape(Shape) - Method in class org.tensorflow.op.core.Placeholder.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.core.Placeholder: Sets the shape option.
shape(Shape) - Method in class org.tensorflow.op.tpu.InfeedEnqueue.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.InfeedEnqueue: Sets the shape option.
shape(Shape) - Method in class org.tensorflow.op.tpu.Prelinearize.Options: Sets the shape option.
shape(Shape) - Static method in class org.tensorflow.op.tpu.Prelinearize: Sets the shape option.
shape(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
shape(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the shape of a tensor.
Shape - Class in org.tensorflow.op.core: Returns the shape of a tensor.
Shape(Operation) - Constructor for class org.tensorflow.op.core.Shape
Shape.Inputs - Class in org.tensorflow.op.core
shapeAndSlice - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Scalar.
shapeAndSlices - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The shapeAndSlices input
shapeAndSlices - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
shapeAndSlices - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
shapeDtype - Variable in class org.tensorflow.op.random.NonDeterministicInts.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulStandardNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulTruncatedNormal.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniform.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformFullInt.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatefulUniformInt.Inputs: The shapeDtype attribute
shapeDtype - Variable in class org.tensorflow.op.random.StatelessRandomGamma.Inputs: The shapeDtype attribute
shapeN(Iterable<Operand<? extends TType>>) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
shapeN(Iterable<Operand<? extends TType>>, Class) - Method in class org.tensorflow.op.Ops: Returns shape of tensors.
ShapeN - Class in org.tensorflow.op.core: Returns shape of tensors.
ShapeN(Operation) - Constructor for class org.tensorflow.op.core.ShapeN
ShapeN.Inputs - Class in org.tensorflow.op.core
ShapeOps - Class in org.tensorflow.op: An API for building shape operations as Ops
shapes - Variable in class org.tensorflow.op.core.Barrier.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: The shape of each component in a value.
shapes - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
shapes - Variable in class org.tensorflow.op.tpu.InfeedDequeueTuple.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.InfeedEnqueueTuple.Inputs: The shapes of each tensor in inputs.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTuple.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.OutfeedDequeueTupleV2.Inputs: The shapes of each tensor in outputs.
shapes - Variable in class org.tensorflow.op.tpu.PrelinearizeTuple.Inputs: The shapes of each tensor in inputs.
shapes - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: If shape_inference_graph is empty, a list of the shapes of outputs.
shapes(List<Shape>) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes(List<Shape>) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(List<Shape>) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.core.Barrier: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the shapes option.
shapes(Shape...) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the shapes option.
shapes(Shape...) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the shapes option.
Shapes - Class in org.tensorflow.op.core: An operator providing methods on org.tensorflow.op.core.Shape tensors and 1d operands that represent the dimensions of a shape.
Shapes() - Constructor for class org.tensorflow.op.core.Shapes
shapesAndSlices - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
shapeToPrepend - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: An int32 vector representing a shape.
shapeType - Variable in class org.tensorflow.op.core.ConcatOffset.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.EmptyTensorList.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListConcat.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListElementShape.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListReserve.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The shapeType attribute
shapeType - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The shapeType attribute
shard - Variable in class org.tensorflow.op.io.ShardedFilename.Inputs: The shard input
shard - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
shard(Long) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the shard option.
shard(Long) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the shard option.
shardDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, ShardDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset - Class in org.tensorflow.op.data: Creates a Dataset that includes only 1/num_shards of this dataset.
ShardDataset(Operation) - Constructor for class org.tensorflow.op.data.ShardDataset
ShardDataset.Inputs - Class in org.tensorflow.op.data
ShardDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShardDataset
shardDir - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The shardDir input
shardedFilename(Operand<TString>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.IoOps: Generate a sharded filename.
ShardedFilename - Class in org.tensorflow.op.io: Generate a sharded filename.
ShardedFilename(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilename
ShardedFilename.Inputs - Class in org.tensorflow.op.io
shardedFilespec(Operand<TString>, Operand<TInt32>) - Method in class org.tensorflow.op.IoOps: Generate a glob pattern matching all sharded file names.
ShardedFilespec - Class in org.tensorflow.op.io: Generate a glob pattern matching all sharded file names.
ShardedFilespec(Operation) - Constructor for class org.tensorflow.op.io.ShardedFilespec
ShardedFilespec.Inputs - Class in org.tensorflow.op.io
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The shardFuncOtherArgs input
shardFuncOtherArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The shardFuncOtherArgs input
shardId - Variable in class org.tensorflow.op.tpu.LoadAllTPUEmbeddingParameters.Inputs: Identifier of shard for this operation.
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveAllTPUEmbeddingParameters.Inputs: Identifier of shard for this operation.
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The shardId attribute
shardId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The shardId attribute
shardNum - Variable in class org.tensorflow.op.data.MultiDeviceIteratorGetNextFromShard.Inputs: Integer representing which shard to fetch data for.
sharedName - Variable in class org.tensorflow.op.core.Barrier.Inputs: If non-empty, this barrier will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.Batch.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: Concurrently running instances of batch in the same device with the same container and shared_name will batch their elements together.
sharedName - Variable in class org.tensorflow.op.core.HashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MapClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapIncompleteSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapPeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.MapUnstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MapUnstageNoKey.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: If non-empty, this table is shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.core.Mutex.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapIncompleteSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapPeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Stage.Inputs: It is necessary to match this name to the matching Unstage Op.
sharedName - Variable in class org.tensorflow.op.core.StageClear.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.StagePeek.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.StageSize.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.Unstage.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.core.VarHandleOp.Inputs: the name by which this variable is referred to.
sharedName - Variable in class org.tensorflow.op.core.Variable.Inputs: If non-empty, this variable is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.Iterator.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.MultiDeviceIterator.Inputs: If non-empty, this resource will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.data.OneShotIterator.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.StatsAggregatorHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.data.ThreadPoolHandle.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.io.FifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.FixedLengthRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.IdentityReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.LmdbReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.PaddingFifoQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.PriorityQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.RandomShuffleQueue.Inputs: If non-empty, this queue will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.TfRecordReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.io.WholeFileReader.Inputs: If non-empty, this reader is named in the given bucket with this shared_name.
sharedName - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The shared name for the SparseTensorsMap created by this op.
sharedName - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The shared name for the SparseTensorsMap created by this op.
sharedName - Variable in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: The shared name for the SparseTensorsMap read by this op.
sharedName - Variable in class org.tensorflow.op.summary.SummaryWriter.Inputs: The sharedName attribute
sharedName - Variable in class org.tensorflow.op.train.ConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName - Variable in class org.tensorflow.op.train.ResourceConditionalAccumulator.Inputs: If non-empty, this accumulator will be shared under the given name across multiple sessions.
sharedName(String) - Method in class org.tensorflow.op.core.Barrier.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Barrier: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Batch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Batch: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.BatchFunction.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.BatchFunction: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.HashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapIncompleteSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapPeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapStage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MapUnstageNoKey: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Mutex.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Mutex: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapIncompleteSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapIncompleteSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapPeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapPeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapStage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapStage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Stage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Stage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StageClear.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageClear: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StagePeek.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StagePeek: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.StageSize.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.StageSize: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Unbatch.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unbatch: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.UnbatchGrad.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.UnbatchGrad: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Unstage.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Unstage: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.VarHandleOp.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.VarHandleOp: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.core.Variable.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.core.Variable: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.StatsAggregatorHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.experimental.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.experimental.ThreadPoolHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.OneShotIterator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.OneShotIterator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.StatsAggregatorHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.StatsAggregatorHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.data.ThreadPoolHandle.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.data.ThreadPoolHandle: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.FifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FifoQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.FixedLengthRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.FixedLengthRecordReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.IdentityReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.IdentityReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.LmdbReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.LmdbReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.PaddingFifoQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PaddingFifoQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.PriorityQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.PriorityQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.RandomShuffleQueue.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.RandomShuffleQueue: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.TfRecordReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.TfRecordReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.io.WholeFileReader.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.io.WholeFileReader: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.SparseConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.SparseConditionalAccumulator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.summary.SummaryWriter.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.summary.SummaryWriter: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.train.ConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ConditionalAccumulator: Sets the sharedName option.
sharedName(String) - Method in class org.tensorflow.op.train.ResourceConditionalAccumulator.Options: Sets the sharedName option.
sharedName(String) - Static method in class org.tensorflow.op.train.ResourceConditionalAccumulator: Sets the sharedName option.
shift - Variable in class org.tensorflow.op.core.Roll.Inputs: Dimension must be 0-D or 1-D.
shift - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of input elements by which the window moves in each iteration.
shortest - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Use shortest representation (either scientific or standard) for floating point numbers.
shortest(Boolean) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the shortest option.
shortest(Boolean) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the shortest option.
shrinkAxisMask - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: a bitmask where bit i implies that the ith specification should shrink the dimensionality.
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The shrinkAxisMask attribute
shrinkAxisMask - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The shrinkAxisMask attribute
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.ResourceStridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.ResourceStridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSlice.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSlice: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceAssign.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceAssign: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.StridedSliceGrad.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.StridedSliceGrad: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Method in class org.tensorflow.op.core.TensorStridedSliceUpdate.Options: Sets the shrinkAxisMask option.
shrinkAxisMask(Long) - Static method in class org.tensorflow.op.core.TensorStridedSliceUpdate: Sets the shrinkAxisMask option.
shuffleAndRepeatDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleAndRepeatDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset - Class in org.tensorflow.op.data: The ShuffleAndRepeatDatasetV2 operation
ShuffleAndRepeatDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleAndRepeatDataset
ShuffleAndRepeatDataset.Inputs - Class in org.tensorflow.op.data
ShuffleAndRepeatDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleAndRepeatDataset
shuffleDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, ShuffleDataset.Options...) - Method in class org.tensorflow.op.DataOps: The ShuffleDatasetV3 operation
ShuffleDataset - Class in org.tensorflow.op.data: The ShuffleDatasetV3 operation
ShuffleDataset(Operation) - Constructor for class org.tensorflow.op.data.ShuffleDataset
ShuffleDataset.Inputs - Class in org.tensorflow.op.data
ShuffleDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ShuffleDataset
shutdownDistributedTPU() - Method in class org.tensorflow.op.TpuOps: Shuts down a running distributed TPU system.
ShutdownDistributedTPU - Class in org.tensorflow.op.tpu: Shuts down a running distributed TPU system.
ShutdownDistributedTPU(Operation) - Constructor for class org.tensorflow.op.tpu.ShutdownDistributedTPU
ShutdownDistributedTPU.Inputs - Class in org.tensorflow.op.tpu
shutdownTPUSystem() - Method in class org.tensorflow.op.TpuOps: An op that shuts down the TPU system.
ShutdownTPUSystem - Class in org.tensorflow.op.tpu: An op that shuts down the TPU system.
ShutdownTPUSystem(Operation) - Constructor for class org.tensorflow.op.tpu.ShutdownTPUSystem
ShutdownTPUSystem.Inputs - Class in org.tensorflow.op.tpu
sigmoid(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes sigmoid of x element-wise.
Sigmoid<T extends TType> - Class in org.tensorflow.op.math: Computes sigmoid of x element-wise.
Sigmoid(Operation) - Constructor for class org.tensorflow.op.math.Sigmoid
Sigmoid.Inputs<T extends TType> - Class in org.tensorflow.op.math
sigmoidGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient of the sigmoid of x wrt its input.
SigmoidGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient of the sigmoid of x wrt its input.
SigmoidGrad(Operation) - Constructor for class org.tensorflow.op.math.SigmoidGrad
SigmoidGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
sign() - Method in class org.tensorflow.op.linalg.LogMatrixDeterminant: Gets sign.
sign(Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns an element-wise indication of the sign of a number.
Sign<T extends TType> - Class in org.tensorflow.op.math: Returns an element-wise indication of the sign of a number.
Sign(Operation) - Constructor for class org.tensorflow.op.math.Sign
Sign.Inputs<T extends TType> - Class in org.tensorflow.op.math
signal - Variable in class org.tensorflow.op.Ops
SignalOps - Class in org.tensorflow.op: An API for building signal operations as Ops
signature() - Method in class org.tensorflow.ConcreteFunction: Returns the signature of this function
signature() - Method in class org.tensorflow.SessionFunction
signature() - Method in interface org.tensorflow.TensorFunction: Returns the signature of this function
Signature - Class in org.tensorflow: Describe the inputs and outputs of an executable entity, such as a ConcreteFunction, among other useful metadata.
Signature.Builder - Class in org.tensorflow: Builds a new function signature.
Signature.TensorDescription - Class in org.tensorflow
signatures() - Method in class org.tensorflow.SavedModelBundle: Return the signature of all functions available in this saved model.
signDecay - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Must be a scalar.
signDecay - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Must be a scalar.
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The signedInput attribute
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The signedInput attribute
signedInput - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: Whether the quantization is signed or unsigned.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantize.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantize: Sets the signedInput option.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3: Sets the signedInput option.
signedInput(Boolean) - Method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Options: Sets the signedInput option.
signedInput(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4: Sets the signedInput option.
SILENT - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Silently copy the tensor, which has a performance cost since the operation will be blocked till the copy completes.
SILENT_FOR_INT32 - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Placement policy which silently copies int32 tensors but not other dtypes.
sin(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes sine of x element-wise.
Sin<T extends TType> - Class in org.tensorflow.op.math: Computes sine of x element-wise.
Sin(Operation) - Constructor for class org.tensorflow.op.math.Sin
Sin.Inputs<T extends TType> - Class in org.tensorflow.op.math
sinh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic sine of x element-wise.
Sinh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic sine of x element-wise.
Sinh(Operation) - Constructor for class org.tensorflow.op.math.Sinh
Sinh.Inputs<T extends TType> - Class in org.tensorflow.op.math
size() - Method in class org.tensorflow.Result: Returns the number of outputs in this Result.
size(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
size(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size represented by the TensorFlow shape.
size(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension in the shape.
size(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size represented by the TensorFlow shape.
size(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension in the shape.
size(Scope, Operand<T>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
size(Scope, Operand<T>, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Get the size of the specified dimension for the shape of the tensor.
size(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the size of a tensor.
size(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
size(Operand<T>, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Get the size of the specified dimension for the shape of the tensor.
Size - Class in org.tensorflow.op.core: Returns the size of a tensor.
Size(Operation) - Constructor for class org.tensorflow.op.core.Size
Size.Inputs - Class in org.tensorflow.op.core
sizeOutput - Variable in class org.tensorflow.op.core.Slice.Inputs: size[i] specifies the number of elements of the 'i'th dimension of 'input' to slice.
sizeOutput - Variable in class org.tensorflow.op.core.TensorArray.Inputs: The size of the array.
sizeOutput - Variable in class org.tensorflow.op.core.TensorListResize.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the number of elements of the input dataset to combine into a window.
sizeOutput - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: A 1-D tensor of 2 elements containing the size of the glimpses to extract.
sizeOutput - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: 1-D of length 2 containing: crop_height, crop_width..
sizeOutput - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: = A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: = A 1-D int32 Tensor of 2 elements: orig_height, orig_width.
sizeOutput - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The sizeOutput input
sizeOutput - Variable in class org.tensorflow.op.math.Bincount.Inputs: non-negative int32 scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: A 1-D int32 Tensor of 2 elements: new_height, new_width.
sizeOutput - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: non-negative int scalar Tensor.
sizeOutput - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
sizeOutput() - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Gets sizeOutput.
sizeOutput() - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Gets sizeOutput.
sizes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: Tensor of int32 with shape [batch_shape, len(field_names)].
sizes() - Method in class org.tensorflow.op.core.DecodeProto: Gets sizes.
sizeSplits - Variable in class org.tensorflow.op.core.SplitV.Inputs: list containing the sizes of each output tensor along the split dimension.
skip - Variable in class org.tensorflow.op.math.SobolSample.Inputs: Positive scalar Tensor of dtype int32.
skipDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SkipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that skips count elements from the input_dataset.
SkipDataset - Class in org.tensorflow.op.data: Creates a dataset that skips count elements from the input_dataset.
SkipDataset(Operation) - Constructor for class org.tensorflow.op.data.SkipDataset
SkipDataset.Inputs - Class in org.tensorflow.op.data
SkipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SkipDataset
skipgram(String, Long, Skipgram.Options...) - Method in class org.tensorflow.op.Ops: Parses a text file and creates a batch of examples.
Skipgram - Class in org.tensorflow.op.core: Parses a text file and creates a batch of examples.
Skipgram(Operation) - Constructor for class org.tensorflow.op.core.Skipgram
Skipgram.Inputs - Class in org.tensorflow.op.core
Skipgram.Options - Class in org.tensorflow.op.core: Optional attributes for Skipgram
skipHeaderLines - Variable in class org.tensorflow.op.io.TextLineReader.Inputs: Number of lines to skip from the beginning of every file.
skipHeaderLines(Long) - Method in class org.tensorflow.op.io.TextLineReader.Options: Sets the skipHeaderLines option.
skipHeaderLines(Long) - Static method in class org.tensorflow.op.io.TextLineReader: Sets the skipHeaderLines option.
slackPeriod - Variable in class org.tensorflow.op.data.PrefetchDataset.Inputs: The slackPeriod attribute
slackPeriod(Long) - Method in class org.tensorflow.op.data.PrefetchDataset.Options: Sets the slackPeriod option.
slackPeriod(Long) - Static method in class org.tensorflow.op.data.PrefetchDataset: Sets the slackPeriod option.
sleepDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: The ExperimentalSleepDataset operation
sleepDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The SleepDataset operation
SleepDataset - Class in org.tensorflow.op.data.experimental: The ExperimentalSleepDataset operation
SleepDataset - Class in org.tensorflow.op.data: The SleepDataset operation
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SleepDataset
SleepDataset(Operation) - Constructor for class org.tensorflow.op.data.SleepDataset
SleepDataset.Inputs - Class in org.tensorflow.op.data.experimental
SleepDataset.Inputs - Class in org.tensorflow.op.data
sleepMicroseconds - Variable in class org.tensorflow.op.data.experimental.SleepDataset.Inputs: The sleepMicroseconds input
sleepMicroseconds - Variable in class org.tensorflow.op.data.SleepDataset.Inputs: The sleepMicroseconds input
slice(Operand<T>, Operand, Operand) - Method in class org.tensorflow.op.Ops: Return a slice from 'input'.
Slice<T extends TType> - Class in org.tensorflow.op.core: Return a slice from 'input'.
Slice(Operation) - Constructor for class org.tensorflow.op.core.Slice
Slice.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
slicedActivations - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The embedding activations Tensor to return.
slicedActivations - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The embedding activations Tensor to return.
slidingWindowDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that passes a sliding window over input_dataset.
slidingWindowDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, SlidingWindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset - Class in org.tensorflow.op.data: Creates a dataset that passes a sliding window over input_dataset.
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SlidingWindowDataset
SlidingWindowDataset(Operation) - Constructor for class org.tensorflow.op.data.SlidingWindowDataset
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data.experimental
SlidingWindowDataset.Inputs - Class in org.tensorflow.op.data
SlidingWindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SlidingWindowDataset
sloppy - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The sloppy input
sloppy - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: The sloppy attribute
sloppy(Boolean) - Method in class org.tensorflow.op.data.experimental.ParseExampleDataset.Options: Sets the sloppy option.
sloppy(Boolean) - Static method in class org.tensorflow.op.data.experimental.ParseExampleDataset: Sets the sloppy option.
snapshot(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a copy of the input tensor.
Snapshot<T extends TType> - Class in org.tensorflow.op.core: Returns a copy of the input tensor.
Snapshot(Operation) - Constructor for class org.tensorflow.op.core.Snapshot
Snapshot.Inputs<T extends TType> - Class in org.tensorflow.op.core
snapshotChunkDataset(Operand<TString>, List<Class<? extends TType>>, List<Shape>, SnapshotChunkDataset.Options...) - Method in class org.tensorflow.op.DataOps: The SnapshotChunkDataset operation
SnapshotChunkDataset - Class in org.tensorflow.op.data: The SnapshotChunkDataset operation
SnapshotChunkDataset(Operation) - Constructor for class org.tensorflow.op.data.SnapshotChunkDataset
SnapshotChunkDataset.Inputs - Class in org.tensorflow.op.data
SnapshotChunkDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotChunkDataset
snapshotDataset(Operand<? extends TType>, Operand<TString>, Iterable<Operand<?>>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>, ConcreteFunction, ConcreteFunction, SnapshotDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset - Class in org.tensorflow.op.data: Creates a dataset that will write to / read from a snapshot.
SnapshotDataset(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDataset
SnapshotDataset.Inputs - Class in org.tensorflow.op.data
SnapshotDataset.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDataset
snapshotDatasetReader(Operand<TString>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, Long, SnapshotDatasetReader.Options...) - Method in class org.tensorflow.op.DataOps: The SnapshotDatasetReader operation
SnapshotDatasetReader - Class in org.tensorflow.op.data: The SnapshotDatasetReader operation
SnapshotDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotDatasetReader
SnapshotDatasetReader.Inputs - Class in org.tensorflow.op.data
SnapshotDatasetReader.Options - Class in org.tensorflow.op.data: Optional attributes for SnapshotDatasetReader
snapshotNestedDatasetReader(Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The SnapshotNestedDatasetReader operation
SnapshotNestedDatasetReader - Class in org.tensorflow.op.data: The SnapshotNestedDatasetReader operation
SnapshotNestedDatasetReader(Operation) - Constructor for class org.tensorflow.op.data.SnapshotNestedDatasetReader
SnapshotNestedDatasetReader.Inputs - Class in org.tensorflow.op.data
snapshotPath - Variable in class org.tensorflow.op.data.ListSnapshotChunksDataset.Inputs: The snapshotPath input
sobolSample(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.MathOps: Generates points from the Sobol sequence.
sobolSample(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.MathOps: Generates points from the Sobol sequence.
SobolSample<T extends TNumber> - Class in org.tensorflow.op.math: Generates points from the Sobol sequence.
SobolSample(Operation) - Constructor for class org.tensorflow.op.math.SobolSample
SobolSample.Inputs - Class in org.tensorflow.op.math
softmax - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: A CSRSparseMatrix.
softmax() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax: Gets softmax.
softmax() - Method in class org.tensorflow.op.nn.Softmax: Gets softmax.
softmax(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softmax activations.
Softmax<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax activations.
Softmax(Operation) - Constructor for class org.tensorflow.op.nn.Softmax
Softmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
softmaxCrossEntropyWithLogits(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
SoftmaxCrossEntropyWithLogits<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits
SoftmaxCrossEntropyWithLogits.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
softNmsSigma - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: A 0-D float tensor representing the sigma parameter for Soft NMS; see Bodla et al (c.f.
softplus(Operand<T>) - Method in class org.tensorflow.op.MathOps: The Softplus operation
Softplus<T extends TNumber> - Class in org.tensorflow.op.math: The Softplus operation
Softplus(Operation) - Constructor for class org.tensorflow.op.math.Softplus
Softplus.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
softplusGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes softplus gradients for a softplus operation.
SoftplusGrad<T extends TNumber> - Class in org.tensorflow.op.math: Computes softplus gradients for a softplus operation.
SoftplusGrad(Operation) - Constructor for class org.tensorflow.op.math.SoftplusGrad
SoftplusGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
softsign(Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softsign: features / (abs(features) + 1).
Softsign<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softsign: features / (abs(features) + 1).
Softsign(Operation) - Constructor for class org.tensorflow.op.nn.Softsign
Softsign.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
softsignGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.NnOps: Computes softsign gradients for a softsign operation.
SoftsignGrad<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softsign gradients for a softsign operation.
SoftsignGrad(Operation) - Constructor for class org.tensorflow.op.nn.SoftsignGrad
SoftsignGrad.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
solve(Operand<T>, Operand<T>, Solve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations.
Solve<T extends TType> - Class in org.tensorflow.op.linalg: Solves systems of linear equations.
Solve(Operation) - Constructor for class org.tensorflow.op.linalg.Solve
Solve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Solve.Options - Class in org.tensorflow.op.linalg: Optional attributes for Solve
sorted - Variable in class org.tensorflow.op.nn.TopK.Inputs: If true the resulting k elements will be sorted by the values in descending order.
sorted(Boolean) - Method in class org.tensorflow.op.nn.TopK.Options: Sets the sorted option.
sorted(Boolean) - Static method in class org.tensorflow.op.nn.TopK: Sets the sorted option.
sortedColIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedColIds.
sortedEmbeddingIds() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedEmbeddingIds.
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedGains input
sortedGains - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedGains input
sortedGains() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedGains.
sortedGains() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedGains.
sortedInputs - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor where each row is ordered.
sortedInputs - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor where each row is ordered.
sortedRowIds() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets sortedRowIds.
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedSampleIds input
sortedSampleIds() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedSampleIds.
sortedSampleIds() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmul: Gets sortedSampleIds.
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The sortedTokenIds input
sortedTokenIds() - Method in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica: Gets sortedTokenIds.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentMeanGrad: Gets sortedUniqueIndices.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad: Gets sortedUniqueIndices.
sortedUniqueIndices() - Method in class org.tensorflow.op.sparse.SparseSegmentSumGrad: Gets sortedUniqueIndices.
source - Variable in class org.tensorflow.op.core.TensorArrayGrad.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
source - Variable in class org.tensorflow.op.core.TensorArrayGradWithShape.Inputs: The gradient source string, used to decide which gradient TensorArray to return.
sourceTargetPairs - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: A tensor with shape [num_pairs, 2].
spaceToBatch(Operand<T>, Operand<? extends TNumber>, Long) - Method in class org.tensorflow.op.NnOps: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch<T extends TType> - Class in org.tensorflow.op.nn: SpaceToBatch for 4-D tensors of type T.
SpaceToBatch(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToBatch
SpaceToBatch.Inputs<T extends TType> - Class in org.tensorflow.op.nn
spaceToBatchNd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd<T extends TType> - Class in org.tensorflow.op.core: SpaceToBatch for N-D tensors of type T.
SpaceToBatchNd(Operation) - Constructor for class org.tensorflow.op.core.SpaceToBatchNd
SpaceToBatchNd.Inputs<T extends TType> - Class in org.tensorflow.op.core
spaceToDepth(Operand<T>, Long, SpaceToDepth.Options...) - Method in class org.tensorflow.op.NnOps: SpaceToDepth for tensors of type T.
SpaceToDepth<T extends TType> - Class in org.tensorflow.op.nn: SpaceToDepth for tensors of type T.
SpaceToDepth(Operation) - Constructor for class org.tensorflow.op.nn.SpaceToDepth
SpaceToDepth.Inputs<T extends TType> - Class in org.tensorflow.op.nn
SpaceToDepth.Options - Class in org.tensorflow.op.nn: Optional attributes for SpaceToDepth
sparse - Variable in class org.tensorflow.op.LinalgOps
sparse - Variable in class org.tensorflow.op.Ops
sparseAccumulatorApplyGradient(Operand<TString>, Operand<TInt64>, Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>, Boolean) - Method in class org.tensorflow.op.SparseOps: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient - Class in org.tensorflow.op.sparse: Applies a sparse gradient to a given accumulator.
SparseAccumulatorApplyGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorApplyGradient
SparseAccumulatorApplyGradient.Inputs - Class in org.tensorflow.op.sparse
sparseAccumulatorTakeGradient(Operand<TString>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.SparseOps: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient<T extends TType> - Class in org.tensorflow.op.sparse: Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAccumulatorTakeGradient(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient
SparseAccumulatorTakeGradient.Inputs - Class in org.tensorflow.op.sparse
sparseAdd(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SparseOps: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd<T extends TType> - Class in org.tensorflow.op.sparse: Adds two SparseTensor objects to produce another SparseTensor.
SparseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAdd
SparseAdd.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseAddGrad(Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseAdd op.
SparseAddGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseAdd op.
SparseAddGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseAddGrad
SparseAddGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseApplyAdadelta(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdadelta.Options...) - Method in class org.tensorflow.op.TrainOps: var: Should be from a Variable().
SparseApplyAdadelta<T extends TType> - Class in org.tensorflow.op.train: var: Should be from a Variable().
SparseApplyAdadelta(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdadelta
SparseApplyAdadelta.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdadelta.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdadelta
sparseApplyAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
SparseApplyAdagrad<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
SparseApplyAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagrad
SparseApplyAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagrad
sparseApplyAdagradDa(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<TInt64>, SparseApplyAdagradDa.Options...) - Method in class org.tensorflow.op.TrainOps: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa<T extends TType> - Class in org.tensorflow.op.train: Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
SparseApplyAdagradDa(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyAdagradDa
SparseApplyAdagradDa.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyAdagradDa.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyAdagradDa
sparseApplyCenteredRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyCenteredRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the centered RMSProp algorithm.
SparseApplyCenteredRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyCenteredRmsProp
SparseApplyCenteredRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyCenteredRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyCenteredRmsProp
sparseApplyFtrl(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, SparseApplyFtrl.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' according to the Ftrl-proximal scheme.
SparseApplyFtrl(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyFtrl
SparseApplyFtrl.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyFtrl.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyFtrl
sparseApplyMomentum(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, Operand<T>, SparseApplyMomentum.Options...) - Method in class org.tensorflow.op.TrainOps: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum<T extends TType> - Class in org.tensorflow.op.train: Update relevant entries in '*var' and '*accum' according to the momentum scheme.
SparseApplyMomentum(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyMomentum
SparseApplyMomentum.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyMomentum.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyMomentum
sparseApplyProximalAdagrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalAdagrad.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad<T extends TType> - Class in org.tensorflow.op.train: Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
SparseApplyProximalAdagrad(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalAdagrad
SparseApplyProximalAdagrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyProximalAdagrad.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalAdagrad
sparseApplyProximalGradientDescent(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyProximalGradientDescent.Options...) - Method in class org.tensorflow.op.TrainOps: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent<T extends TType> - Class in org.tensorflow.op.train: Sparse update '*var' as FOBOS algorithm with fixed learning rate.
SparseApplyProximalGradientDescent(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyProximalGradientDescent
SparseApplyProximalGradientDescent.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyProximalGradientDescent.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyProximalGradientDescent
sparseApplyRmsProp(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand<? extends TNumber>, SparseApplyRmsProp.Options...) - Method in class org.tensorflow.op.TrainOps: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp<T extends TType> - Class in org.tensorflow.op.train: Update '*var' according to the RMSProp algorithm.
SparseApplyRmsProp(Operation) - Constructor for class org.tensorflow.op.train.SparseApplyRmsProp
SparseApplyRmsProp.Inputs<T extends TType> - Class in org.tensorflow.op.train
SparseApplyRmsProp.Options - Class in org.tensorflow.op.train: Optional attributes for SparseApplyRmsProp
sparseBincount(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>, Operand, SparseBincount.Options...) - Method in class org.tensorflow.op.SparseOps: Counts the number of occurrences of each value in an integer array.
SparseBincount - Class in org.tensorflow.op.sparse: Counts the number of occurrences of each value in an integer array.
SparseBincount(Operation) - Constructor for class org.tensorflow.op.sparse.SparseBincount
SparseBincount.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse
SparseBincount.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseBincount
sparseConcat(Iterable<Operand<TInt64>>, Iterable<Operand<T>>, Iterable<Operand<TInt64>>, Long) - Method in class org.tensorflow.op.SparseOps: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat<T extends TType> - Class in org.tensorflow.op.sparse: Concatenates a list of SparseTensor along the specified dimension.
SparseConcat(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConcat
SparseConcat.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseConditionalAccumulator(Class<T>, Shape, SparseConditionalAccumulator.Options...) - Method in class org.tensorflow.op.SparseOps: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator - Class in org.tensorflow.op.sparse: A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator(Operation) - Constructor for class org.tensorflow.op.sparse.SparseConditionalAccumulator
SparseConditionalAccumulator.Inputs - Class in org.tensorflow.op.sparse
SparseConditionalAccumulator.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseConditionalAccumulator
sparseCountSparseOutput(Operand<TInt64>, Operand<? extends TNumber>, Operand<TInt64>, Operand, Boolean, SparseCountSparseOutput.Options...) - Method in class org.tensorflow.op.SparseOps: Performs sparse-output bin counting for a sparse tensor input.
SparseCountSparseOutput - Class in org.tensorflow.op.sparse: Performs sparse-output bin counting for a sparse tensor input.
SparseCountSparseOutput(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCountSparseOutput
SparseCountSparseOutput.Inputs - Class in org.tensorflow.op.sparse
SparseCountSparseOutput.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseCountSparseOutput
sparseCross(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TString>) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCross - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCross(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCross
SparseCross.Inputs - Class in org.tensorflow.op.sparse
sparseCrossHashed(Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Iterable<Operand<TInt64>>, Iterable<Operand<?>>, Operand<TInt64>, Operand<TBool>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed - Class in org.tensorflow.op.sparse: Generates sparse cross from a list of sparse and dense tensors.
SparseCrossHashed(Operation) - Constructor for class org.tensorflow.op.sparse.SparseCrossHashed
SparseCrossHashed.Inputs - Class in org.tensorflow.op.sparse
sparseDenseCwiseAdd(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd<T extends TType> - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition.
SparseDenseCwiseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseAdd
SparseDenseCwiseAdd.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseDenseCwiseDiv(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv<T extends TType> - Class in org.tensorflow.op.sparse: Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseDiv(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseDiv
SparseDenseCwiseDiv.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseDenseCwiseMul(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul<T extends TType> - Class in org.tensorflow.op.sparse: Component-wise multiplies a SparseTensor by a dense Tensor.
SparseDenseCwiseMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseDenseCwiseMul
SparseDenseCwiseMul.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseDenseShape() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseDenseShape.
sparseExampleIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain example indices.
sparseFeatureIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contain feature indices.
sparseFeatureValues - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors which contains feature value associated with each feature group.
sparseFillEmptyRows(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows<T extends TType> - Class in org.tensorflow.op.sparse: Fills empty rows in the input 2-D SparseTensor with a default value.
SparseFillEmptyRows(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRows
SparseFillEmptyRows.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseFillEmptyRowsGrad(Operand<TInt64>, Operand<T>) - Method in class org.tensorflow.op.SparseOps: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient of SparseFillEmptyRows.
SparseFillEmptyRowsGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad
SparseFillEmptyRowsGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The sparseGradient attribute
sparseGradient - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The sparseGradient attribute
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentMean.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentMean: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtN: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSum.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSum: Sets the sparseGradient option.
sparseGradient(Boolean) - Method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Options: Sets the sparseGradient option.
sparseGradient(Boolean) - Static method in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments: Sets the sparseGradient option.
sparseHandle() - Method in class org.tensorflow.op.sparse.AddSparseToTensorsMap: Gets sparseHandle.
sparseHandles - Variable in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap.Inputs: 1-D, The N serialized SparseTensor objects.
sparseHandles() - Method in class org.tensorflow.op.sparse.AddManySparseToTensorsMap: Gets sparseHandles.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The indices tensor for each SparseTensor input.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 2-D.
sparseIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 0-D, 1-D, or 2-D.
sparseIndices - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the indices which has corresponding weights in sparse_weights.
sparseIndices() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseIndices.
sparseIndices() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseIndices.
sparseInput - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: A batched CSRSparseMatrix.
sparseKeys - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of string keys in the examples features.
sparseKeys - Variable in class org.tensorflow.op.io.ParseExample.Inputs: Vector of strings.
sparseKeys - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of num_sparse strings.
sparseMatMul(Operand<? extends TNumber>, Operand<? extends TNumber>, SparseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply matrix "a" by matrix "b".
SparseMatMul - Class in org.tensorflow.op.sparse: Multiply matrix "a" by matrix "b".
SparseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseMatMul
SparseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseMatMul
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: A (possibly batched) CSRSparseMatrix.
sparseMatrix - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ.Inputs: A CSRSparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros: Gets sparseMatrix.
sparseMatrix() - Method in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix: Gets sparseMatrix.
sparseMatrixAdd(Operand<? extends TType>, Operand<? extends TType>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Sparse addition of two CSR matrices, C = alpha * A + beta * B.
SparseMatrixAdd - Class in org.tensorflow.op.linalg.sparse: Sparse addition of two CSR matrices, C = alpha * A + beta * B.
SparseMatrixAdd(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixAdd
SparseMatrixAdd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg.sparse
sparseMatrixMatMul(Operand<? extends TType>, Operand<T>, SparseMatrixMatMul.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Matrix-multiplies a sparse matrix with a dense matrix.
SparseMatrixMatMul<T extends TType> - Class in org.tensorflow.op.linalg.sparse: Matrix-multiplies a sparse matrix with a dense matrix.
SparseMatrixMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul
SparseMatrixMatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg.sparse
SparseMatrixMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixMatMul
sparseMatrixMul(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.LinalgSparseOps: Element-wise multiplication of a sparse matrix with a dense tensor.
SparseMatrixMul - Class in org.tensorflow.op.linalg.sparse: Element-wise multiplication of a sparse matrix with a dense tensor.
SparseMatrixMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixMul
SparseMatrixMul.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixNNZ(Operand<? extends TType>) - Method in class org.tensorflow.op.LinalgSparseOps: Returns the number of nonzeroes of sparse_matrix.
SparseMatrixNNZ - Class in org.tensorflow.op.linalg.sparse: Returns the number of nonzeroes of sparse_matrix.
SparseMatrixNNZ(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixNNZ
SparseMatrixNNZ.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixOrderingAMD(Operand<? extends TType>) - Method in class org.tensorflow.op.LinalgSparseOps: Computes the Approximate Minimum Degree (AMD) ordering of input.
SparseMatrixOrderingAMD - Class in org.tensorflow.op.linalg.sparse: Computes the Approximate Minimum Degree (AMD) ordering of input.
SparseMatrixOrderingAMD(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixOrderingAMD
SparseMatrixOrderingAMD.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSoftmax(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Calculates the softmax of a CSRSparseMatrix.
SparseMatrixSoftmax - Class in org.tensorflow.op.linalg.sparse: Calculates the softmax of a CSRSparseMatrix.
SparseMatrixSoftmax(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax
SparseMatrixSoftmax.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSoftmaxGrad(Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Calculates the gradient of the SparseMatrixSoftmax op.
SparseMatrixSoftmaxGrad - Class in org.tensorflow.op.linalg.sparse: Calculates the gradient of the SparseMatrixSoftmax op.
SparseMatrixSoftmaxGrad(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad
SparseMatrixSoftmaxGrad.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSparseCholesky(Operand<? extends TType>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Computes the sparse Cholesky decomposition of input.
SparseMatrixSparseCholesky - Class in org.tensorflow.op.linalg.sparse: Computes the sparse Cholesky decomposition of input.
SparseMatrixSparseCholesky(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky
SparseMatrixSparseCholesky.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseMatrixSparseMatMul(Operand<? extends TType>, Operand<? extends TType>, Class<T>, SparseMatrixSparseMatMul.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Sparse-matrix-multiplies two CSR matrices a and b.
SparseMatrixSparseMatMul - Class in org.tensorflow.op.linalg.sparse: Sparse-matrix-multiplies two CSR matrices a and b.
SparseMatrixSparseMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul
SparseMatrixSparseMatMul.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixSparseMatMul.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixSparseMatMul
sparseMatrixTranspose(Operand<? extends TType>, Class<T>, SparseMatrixTranspose.Options...) - Method in class org.tensorflow.op.LinalgSparseOps: Transposes the inner (matrix) dimensions of a CSRSparseMatrix.
SparseMatrixTranspose - Class in org.tensorflow.op.linalg.sparse: Transposes the inner (matrix) dimensions of a CSRSparseMatrix.
SparseMatrixTranspose(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose
SparseMatrixTranspose.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseMatrixTranspose.Options - Class in org.tensorflow.op.linalg.sparse: Optional attributes for SparseMatrixTranspose
sparseMatrixZeros(Operand<TInt64>, Class<T>) - Method in class org.tensorflow.op.LinalgSparseOps: Creates an all-zeros CSRSparseMatrix with shape dense_shape.
SparseMatrixZeros - Class in org.tensorflow.op.linalg.sparse: Creates an all-zeros CSRSparseMatrix with shape dense_shape.
SparseMatrixZeros(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseMatrixZeros
SparseMatrixZeros.Inputs - Class in org.tensorflow.op.linalg.sparse
SparseOps - Class in org.tensorflow.op: An API for building sparse operations as Ops
sparseOutput() - Method in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix: Gets sparseOutput.
sparseReduceMax(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMax.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMax
SparseReduceMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseReduceMax.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMax
sparseReduceMaxSparse(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceMaxSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceMaxSparse
SparseReduceMaxSparse.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseReduceMaxSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceMaxSparse
sparseReduceSum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSum.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum<T extends TType> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSum
SparseReduceSum.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseReduceSum.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSum
sparseReduceSumSparse(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt32>, SparseReduceSumSparse.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse<T extends TType> - Class in org.tensorflow.op.sparse: Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReduceSumSparse
SparseReduceSumSparse.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseReduceSumSparse.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseReduceSumSparse
sparseReorder(Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder<T extends TType> - Class in org.tensorflow.op.sparse: Reorders a SparseTensor into the canonical, row-major ordering.
SparseReorder(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReorder
SparseReorder.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseReshape(Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape - Class in org.tensorflow.op.sparse: Reshapes a SparseTensor to represent values in a new dense shape.
SparseReshape(Operation) - Constructor for class org.tensorflow.op.sparse.SparseReshape
SparseReshape.Inputs - Class in org.tensorflow.op.sparse
sparseSegmentMean(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentMean.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMean<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMean(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMean
SparseSegmentMean.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentMean.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentMean
sparseSegmentMeanGrad(Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentMean.
SparseSegmentMeanGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanGrad
SparseSegmentMeanGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse
sparseSegmentMeanWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentMeanWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the mean along sparse segments of a tensor.
SparseSegmentMeanWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments
SparseSegmentMeanWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentMeanWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentMeanWithNumSegments
sparseSegmentSqrtN(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSqrtN.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtN(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtN
SparseSegmentSqrtN.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtN.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSqrtN
sparseSegmentSqrtNGrad(Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad
SparseSegmentSqrtNGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse
sparseSegmentSqrtNWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSqrtNWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments
SparseSegmentSqrtNWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSqrtNWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSqrtNWithNumSegments
sparseSegmentSum(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSum.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSum<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSum
SparseSegmentSum.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSum.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSum
sparseSegmentSumGrad(Operand<T>, Operand, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.SparseOps: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse: Computes gradients for SparseSegmentSum.
SparseSegmentSumGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumGrad
SparseSegmentSumGrad.Inputs<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.sparse
sparseSegmentSumWithNumSegments(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, SparseSegmentSumWithNumSegments.Options...) - Method in class org.tensorflow.op.SparseOps: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments<T extends TNumber> - Class in org.tensorflow.op.sparse: Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments
SparseSegmentSumWithNumSegments.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
SparseSegmentSumWithNumSegments.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseSegmentSumWithNumSegments
sparseShape - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The dense_shape tensor for each SparseTensor input.
sparseShape - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseShape - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseShape() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseShape.
sparseShape() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseShape.
sparseShape() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseShape.
sparseShapes() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseShapes.
sparseShapes() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseShapes.
sparseSlice(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Slice a SparseTensor based on the start and size.
SparseSlice<T extends TType> - Class in org.tensorflow.op.sparse: Slice a SparseTensor based on the start and size.
SparseSlice(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSlice
SparseSlice.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseSliceGrad(Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: The gradient operator for the SparseSlice op.
SparseSliceGrad<T extends TType> - Class in org.tensorflow.op.sparse: The gradient operator for the SparseSlice op.
SparseSliceGrad(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSliceGrad
SparseSliceGrad.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseSoftmax(Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax<T extends TNumber> - Class in org.tensorflow.op.sparse: Applies softmax to a batched N-D SparseTensor.
SparseSoftmax(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSoftmax
SparseSoftmax.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
sparseSoftmaxCrossEntropyWithLogits(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.NnOps: Computes softmax cross entropy cost and gradients to backpropagate.
SparseSoftmaxCrossEntropyWithLogits<T extends TNumber> - Class in org.tensorflow.op.nn: Computes softmax cross entropy cost and gradients to backpropagate.
SparseSoftmaxCrossEntropyWithLogits(Operation) - Constructor for class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits
SparseSoftmaxCrossEntropyWithLogits.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
sparseSparseMaximum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum<T extends TNumber> - Class in org.tensorflow.op.sparse: Returns the element-wise max of two SparseTensors.
SparseSparseMaximum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMaximum
SparseSparseMaximum.Inputs<T extends TNumber> - Class in org.tensorflow.op.sparse
sparseSparseMinimum(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>) - Method in class org.tensorflow.op.SparseOps: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum<T extends TType> - Class in org.tensorflow.op.sparse: Returns the element-wise min of two SparseTensors.
SparseSparseMinimum(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSparseMinimum
SparseSparseMinimum.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
sparseSplit(Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, Long) - Method in class org.tensorflow.op.SparseOps: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit<T extends TType> - Class in org.tensorflow.op.sparse: Split a SparseTensor into num_split tensors along one dimension.
SparseSplit(Operation) - Constructor for class org.tensorflow.op.sparse.SparseSplit
SparseSplit.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseTensor<T extends TType> - Interface in org.tensorflow: A virtual type of Tensor composed of three dense tensors (indices, values and dimensions) used to represent the sparse data into a multi-dimensional dense space.
sparseTensorDenseAdd(Operand<T>, Operand, Operand<T>, Operand) - Method in class org.tensorflow.op.SparseOps: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd - Class in org.tensorflow.op.sparse: Adds up a SparseTensor and a dense Tensor, producing a dense Tensor.
SparseTensorDenseAdd(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseAdd
SparseTensorDenseAdd.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.sparse
sparseTensorDenseMatMul(Operand<? extends TNumber>, Operand, Operand<TInt64>, Operand, SparseTensorDenseMatMul.Options...) - Method in class org.tensorflow.op.SparseOps: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul - Class in org.tensorflow.op.sparse: Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul(Operation) - Constructor for class org.tensorflow.op.sparse.SparseTensorDenseMatMul
SparseTensorDenseMatMul.Inputs - Class in org.tensorflow.op.sparse
SparseTensorDenseMatMul.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseTensorDenseMatMul
sparseTensorOf(TInt64, TBfloat16, TInt64) - Static method in interface org.tensorflow.types.TBfloat16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TBool, TInt64) - Static method in interface org.tensorflow.types.TBool: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of false.
sparseTensorOf(TInt64, TFloat16, TInt64) - Static method in interface org.tensorflow.types.TFloat16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TFloat32, TInt64) - Static method in interface org.tensorflow.types.TFloat32: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TFloat64, TInt64) - Static method in interface org.tensorflow.types.TFloat64: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TInt32, TInt64) - Static method in interface org.tensorflow.types.TInt32: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TInt64, TInt64) - Static method in interface org.tensorflow.types.TInt64: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TString, TInt64) - Static method in interface org.tensorflow.types.TString: Create a sparse tensor from indices, values and denseShape dense tensors, with an empty string as the default value.
sparseTensorOf(TInt64, TUint16, TInt64) - Static method in interface org.tensorflow.types.TUint16: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorOf(TInt64, TUint8, TInt64) - Static method in interface org.tensorflow.types.TUint8: Create a sparse tensor from indices, values and denseShape dense tensors, with a default value of zero.
sparseTensorSliceDataset(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that splits a SparseTensor into elements row-wise.
SparseTensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.SparseTensorSliceDataset
SparseTensorSliceDataset.Inputs - Class in org.tensorflow.op.data
sparseTensorToCSRSparseMatrix(Operand<TInt64>, Operand<? extends TType>, Operand<TInt64>) - Method in class org.tensorflow.op.LinalgSparseOps: Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.
SparseTensorToCSRSparseMatrix - Class in org.tensorflow.op.linalg.sparse: Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.
SparseTensorToCSRSparseMatrix(Operation) - Constructor for class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix
SparseTensorToCSRSparseMatrix.Inputs - Class in org.tensorflow.op.linalg.sparse
sparseToDense(Operand<T>, Operand<T>, Operand, Operand, SparseToDense.Options...) - Method in class org.tensorflow.op.SparseOps: Converts a sparse representation into a dense tensor.
SparseToDense - Class in org.tensorflow.op.sparse: Converts a sparse representation into a dense tensor.
SparseToDense(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToDense
SparseToDense.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.sparse
SparseToDense.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToDense
sparseToSparseSetOperation(Operand<TInt64>, Operand<T>, Operand<TInt64>, Operand<TInt64>, Operand<T>, Operand<TInt64>, String, SparseToSparseSetOperation.Options...) - Method in class org.tensorflow.op.SparseOps: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation<T extends TType> - Class in org.tensorflow.op.sparse: Applies set operation along last dimension of 2 SparseTensor inputs.
SparseToSparseSetOperation(Operation) - Constructor for class org.tensorflow.op.sparse.SparseToSparseSetOperation
SparseToSparseSetOperation.Inputs<T extends TType> - Class in org.tensorflow.op.sparse
SparseToSparseSetOperation.Options - Class in org.tensorflow.op.sparse: Optional attributes for SparseToSparseSetOperation
sparseTypes - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of DTypes of the same length as sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of DTypes of the same length as sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.io.ParseExample.Inputs: A list of num_sparse types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: A list of num_sparse types; the data types of data in each Feature given in sparse_keys.
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: The sparseTypes attribute
sparseTypes - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: The sparseTypes attribute
sparseValues - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The values tensor for each SparseTensor input.
sparseValues - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: 1-D.
sparseValues - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: 1-D.
sparseValues() - Method in class org.tensorflow.op.io.DeserializeManySparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseExample: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.io.ParseSingleExample: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.ragged.RaggedTensorToSparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.sparse.DeserializeSparse: Gets sparseValues.
sparseValues() - Method in class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap: Gets sparseValues.
sparseValuesTypes - Variable in class org.tensorflow.op.ragged.RaggedCross.Inputs: The sparseValuesTypes attribute
sparseWeights - Variable in class org.tensorflow.op.train.SdcaOptimizer.Inputs: a list of vectors where each value is the weight associated with a sparse feature group.
special - Variable in class org.tensorflow.op.MathOps
spectrogram - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: Typically produced by the Spectrogram op, with magnitude_squared set to true.
spectrogram() - Method in class org.tensorflow.op.audio.AudioSpectrogram: Gets spectrogram.
spence(Operand<T>) - Method in class org.tensorflow.op.MathSpecialOps: The Spence operation
Spence<T extends TNumber> - Class in org.tensorflow.op.math.special: The Spence operation
Spence(Operation) - Constructor for class org.tensorflow.op.math.special.Spence
Spence.Inputs<T extends TNumber> - Class in org.tensorflow.op.math.special
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 2-D.
spIndices - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 2-D.
split(Operand<TInt32>, Operand<T>, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
Split<T extends TType> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
Split(Operation) - Constructor for class org.tensorflow.op.core.Split
Split.Inputs<T extends TType> - Class in org.tensorflow.op.core
splitCount - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The number of splits, this number must equal to the sub-group size(group_assignment.get_shape()[1])
splitDedupData(Operand<? extends TType>, Class<T>, Class, String, SplitDedupData.Options...) - Method in class org.tensorflow.op.TpuOps: An op splits input deduplication data XLA tuple into integer and floating point tensors.
SplitDedupData<T extends TNumber,U extends TNumber> - Class in org.tensorflow.op.tpu: An op splits input deduplication data XLA tuple into integer and floating point tensors.
SplitDedupData(Operation) - Constructor for class org.tensorflow.op.tpu.SplitDedupData
SplitDedupData.Inputs - Class in org.tensorflow.op.tpu
SplitDedupData.Options - Class in org.tensorflow.op.tpu: Optional attributes for SplitDedupData
splitDim - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 0-D.
splitDimension - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The dimension number to split.
splitND(Operand<T>, Long, List<Long>, SplitND.Options...) - Method in class org.tensorflow.op.XlaOps: Splits input tensor across all dimensions.
SplitND<T extends TType> - Class in org.tensorflow.op.xla: Splits input tensor across all dimensions.
SplitND(Operation) - Constructor for class org.tensorflow.op.xla.SplitND
SplitND.Inputs<T extends TType> - Class in org.tensorflow.op.xla
SplitND.Options - Class in org.tensorflow.op.xla: Optional attributes for SplitND
splits - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 1D int64 Tensor.
splits - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing the row splits of the ragged tensor to count.
splits - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The splits input
splits() - Method in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica: Gets splits.
splitV(Operand<T>, Operand<? extends TNumber>, Operand<TInt32>, Long) - Method in class org.tensorflow.op.Ops: Splits a tensor into num_split tensors along one dimension.
SplitV<T extends TType> - Class in org.tensorflow.op.core: Splits a tensor into num_split tensors along one dimension.
SplitV(Operation) - Constructor for class org.tensorflow.op.core.SplitV
SplitV.Inputs<T extends TType> - Class in org.tensorflow.op.core
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spShape - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: 1-D.
spValues - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: 1-D.
sqlDataset(Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that executes a SQL query and emits rows of the result set.
sqlDataset(Operand<TString>, Operand<TString>, Operand<TString>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset - Class in org.tensorflow.op.data: Creates a dataset that executes a SQL query and emits rows of the result set.
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.SqlDataset
SqlDataset(Operation) - Constructor for class org.tensorflow.op.data.SqlDataset
SqlDataset.Inputs - Class in org.tensorflow.op.data.experimental
SqlDataset.Inputs - Class in org.tensorflow.op.data
sqrt(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes square root of x element-wise.
Sqrt<T extends TType> - Class in org.tensorflow.op.math: Computes square root of x element-wise.
Sqrt(Operation) - Constructor for class org.tensorflow.op.math.Sqrt
Sqrt.Inputs<T extends TType> - Class in org.tensorflow.op.math
sqrtGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the sqrt of x wrt its input.
SqrtGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the sqrt of x wrt its input.
SqrtGrad(Operation) - Constructor for class org.tensorflow.op.math.SqrtGrad
SqrtGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
sqrtm(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm<T extends TType> - Class in org.tensorflow.op.linalg: Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A
Sqrtm(Operation) - Constructor for class org.tensorflow.op.linalg.Sqrtm
Sqrtm.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
square(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes square of x element-wise.
Square<T extends TType> - Class in org.tensorflow.op.math: Computes square of x element-wise.
Square(Operation) - Constructor for class org.tensorflow.op.math.Square
Square.Inputs<T extends TType> - Class in org.tensorflow.op.math
squaredDifference(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns conj(x - y)(x - y) element-wise.
SquaredDifference<T extends TType> - Class in org.tensorflow.op.math: Returns conj(x - y)(x - y) element-wise.
SquaredDifference(Operation) - Constructor for class org.tensorflow.op.math.SquaredDifference
SquaredDifference.Inputs<T extends TType> - Class in org.tensorflow.op.math
squeeze(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
squeeze(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Removes dimensions of size 1 from the shape.
squeeze(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
squeeze(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Removes dimensions of size 1 from the shape.
squeeze(Operand<T>, Squeeze.Options...) - Method in class org.tensorflow.op.Ops: Removes dimensions of size 1 from the shape of a tensor.
Squeeze<T extends TType> - Class in org.tensorflow.op.core: Removes dimensions of size 1 from the shape of a tensor.
Squeeze(Operation) - Constructor for class org.tensorflow.op.core.Squeeze
Squeeze.Inputs<T extends TType> - Class in org.tensorflow.op.core
Squeeze.Options - Class in org.tensorflow.op.core: Optional attributes for Squeeze
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: source data format.
srcFormat - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: source data format.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatDimMap.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatDimMap: Sets the srcFormat option.
srcFormat(String) - Method in class org.tensorflow.op.nn.DataFormatVecPermute.Options: Sets the srcFormat option.
srcFormat(String) - Static method in class org.tensorflow.op.nn.DataFormatVecPermute: Sets the srcFormat option.
SrcT - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The SrcT attribute
stack(Iterable<Operand<T>>, Stack.Options...) - Method in class org.tensorflow.op.Ops: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack<T extends TType> - Class in org.tensorflow.op.core: Packs a list of N rank-R tensors into one rank-(R+1) tensor.
Stack(Operation) - Constructor for class org.tensorflow.op.core.Stack
Stack.Inputs<T extends TType> - Class in org.tensorflow.op.core
Stack.Options - Class in org.tensorflow.op.core: Optional attributes for Stack
stackClose(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Delete the stack from its resource container.
StackClose - Class in org.tensorflow.op.core: Delete the stack from its resource container.
StackClose(Operation) - Constructor for class org.tensorflow.op.core.StackClose
StackClose.Inputs - Class in org.tensorflow.op.core
stackCreate(Operand<TInt32>, Class<T>, StackCreate.Options...) - Method in class org.tensorflow.op.Ops: A stack that produces elements in first-in last-out order.
StackCreate - Class in org.tensorflow.op.core: A stack that produces elements in first-in last-out order.
StackCreate(Operation) - Constructor for class org.tensorflow.op.core.StackCreate
StackCreate.Inputs - Class in org.tensorflow.op.core
StackCreate.Options - Class in org.tensorflow.op.core: Optional attributes for StackCreate
stackName - Variable in class org.tensorflow.op.core.StackCreate.Inputs: Overrides the name used for the temporary stack resource.
stackName(String) - Method in class org.tensorflow.op.core.StackCreate.Options: Sets the stackName option.
stackName(String) - Static method in class org.tensorflow.op.core.StackCreate: Sets the stackName option.
stackPop(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Pop the element at the top of the stack.
StackPop<T extends TType> - Class in org.tensorflow.op.core: Pop the element at the top of the stack.
StackPop(Operation) - Constructor for class org.tensorflow.op.core.StackPop
StackPop.Inputs - Class in org.tensorflow.op.core
stackPush(Operand<? extends TType>, Operand<T>, StackPush.Options...) - Method in class org.tensorflow.op.Ops: Push an element onto the stack.
StackPush<T extends TType> - Class in org.tensorflow.op.core: Push an element onto the stack.
StackPush(Operation) - Constructor for class org.tensorflow.op.core.StackPush
StackPush.Inputs<T extends TType> - Class in org.tensorflow.op.core
StackPush.Options - Class in org.tensorflow.op.core: Optional attributes for StackPush
stage(Iterable<Operand<?>>, Stage.Options...) - Method in class org.tensorflow.op.Ops: Stage values similar to a lightweight Enqueue.
Stage - Class in org.tensorflow.op.core: Stage values similar to a lightweight Enqueue.
Stage(Operation) - Constructor for class org.tensorflow.op.core.Stage
Stage.Inputs - Class in org.tensorflow.op.core
Stage.Options - Class in org.tensorflow.op.core: Optional attributes for Stage
stageClear(List<Class<? extends TType>>, StageClear.Options...) - Method in class org.tensorflow.op.Ops: Op removes all elements in the underlying container.
StageClear - Class in org.tensorflow.op.core: Op removes all elements in the underlying container.
StageClear(Operation) - Constructor for class org.tensorflow.op.core.StageClear
StageClear.Inputs - Class in org.tensorflow.op.core
StageClear.Options - Class in org.tensorflow.op.core: Optional attributes for StageClear
stagePeek(Operand<TInt32>, List<Class<? extends TType>>, StagePeek.Options...) - Method in class org.tensorflow.op.Ops: Op peeks at the values at the specified index.
StagePeek - Class in org.tensorflow.op.core: Op peeks at the values at the specified index.
StagePeek(Operation) - Constructor for class org.tensorflow.op.core.StagePeek
StagePeek.Inputs - Class in org.tensorflow.op.core
StagePeek.Options - Class in org.tensorflow.op.core: Optional attributes for StagePeek
stageSize(List<Class<? extends TType>>, StageSize.Options...) - Method in class org.tensorflow.op.Ops: Op returns the number of elements in the underlying container.
StageSize - Class in org.tensorflow.op.core: Op returns the number of elements in the underlying container.
StageSize(Operation) - Constructor for class org.tensorflow.op.core.StageSize
StageSize.Inputs - Class in org.tensorflow.op.core
StageSize.Options - Class in org.tensorflow.op.core: Optional attributes for StageSize
start - Variable in class org.tensorflow.op.core.For.Inputs: The lower bound.
start - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
start - Variable in class org.tensorflow.op.core.Range.Inputs: 0-D (scalar).
start - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to start in python's xrange().
start - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D.
start() - Method in class org.tensorflow.Server: Starts an in-process TensorFlow server.
startIndex - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The startIndex input
starts - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The starts of each range.
state - Variable in class org.tensorflow.op.io.ReaderRestoreState.Inputs: Result of a ReaderSerializeState of a Reader with type matching reader_handle.
state() - Method in class org.tensorflow.op.io.ReaderSerializeState: Gets state.
statefulCase(Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
StatefulCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatefulCase(Operation) - Constructor for class org.tensorflow.op.core.StatefulCase
StatefulCase.Inputs - Class in org.tensorflow.op.core
statefulIf(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
StatefulIf - Class in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
StatefulIf(Operation) - Constructor for class org.tensorflow.op.core.StatefulIf
StatefulIf.Inputs - Class in org.tensorflow.op.core
statefulPartitionedCall(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, StatefulPartitionedCall.Options...) - Method in class org.tensorflow.op.Ops: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall - Class in org.tensorflow.op.core: returns f(inputs), where f's body is placed and partitioned.
StatefulPartitionedCall(Operation) - Constructor for class org.tensorflow.op.core.StatefulPartitionedCall
StatefulPartitionedCall.Inputs - Class in org.tensorflow.op.core
StatefulPartitionedCall.Options - Class in org.tensorflow.op.core: Optional attributes for StatefulPartitionedCall
statefulRandomBinomial(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
statefulRandomBinomial(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TNumber>, Operand, Operand, Class<V>) - Method in class org.tensorflow.op.RandomOps: The StatefulRandomBinomial operation
StatefulRandomBinomial<V extends TNumber> - Class in org.tensorflow.op.random: The StatefulRandomBinomial operation
StatefulRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatefulRandomBinomial
StatefulRandomBinomial.Inputs - Class in org.tensorflow.op.random
statefulStandardNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
statefulStandardNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a normal distribution.
StatefulStandardNormal - Class in org.tensorflow.op.random: Outputs random values from a normal distribution.
StatefulStandardNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulStandardNormal
StatefulStandardNormal.Inputs - Class in org.tensorflow.op.random
statefulTruncatedNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
statefulTruncatedNormal(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
StatefulTruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
StatefulTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatefulTruncatedNormal
StatefulTruncatedNormal.Inputs - Class in org.tensorflow.op.random
statefulUniform(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
statefulUniform(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a uniform distribution.
StatefulUniform - Class in org.tensorflow.op.random: Outputs random values from a uniform distribution.
StatefulUniform(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniform
StatefulUniform.Inputs - Class in org.tensorflow.op.random
statefulUniformFullInt(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
StatefulUniformFullInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformFullInt
StatefulUniformFullInt.Inputs - Class in org.tensorflow.op.random
statefulUniformInt(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs random integers from a uniform distribution.
StatefulUniformInt - Class in org.tensorflow.op.random: Outputs random integers from a uniform distribution.
StatefulUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatefulUniformInt
StatefulUniformInt.Inputs - Class in org.tensorflow.op.random
statefulWhile(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatefulWhile(Operation) - Constructor for class org.tensorflow.op.core.StatefulWhile
StatefulWhile.Inputs - Class in org.tensorflow.op.core
statelessCase(Operand<TInt32>, Iterable<Operand<?>>, List<Class<? extends TType>>, List<ConcreteFunction>, Case.Options...) - Method in class org.tensorflow.op.Ops: An n-way switch statement which calls a single branch function.
StatelessCase - Class in org.tensorflow.op.core: An n-way switch statement which calls a single branch function.
StatelessCase(Operation) - Constructor for class org.tensorflow.op.core.StatelessCase
StatelessCase.Inputs - Class in org.tensorflow.op.core
statelessIf(Operand<? extends TType>, Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction, ConcreteFunction, If.Options...) - Method in class org.tensorflow.op.Ops: output = cond ? then_branch(input) : else_branch(input)
StatelessIf - Class in org.tensorflow.op.core: output = cond ? then_branch(input) : else_branch(input)
StatelessIf(Operation) - Constructor for class org.tensorflow.op.core.StatelessIf
StatelessIf.Inputs - Class in org.tensorflow.op.core
statelessMultinomial(Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
statelessMultinomial(Operand<? extends TNumber>, Operand<TInt32>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Draws samples from a multinomial distribution.
StatelessMultinomial<V extends TNumber> - Class in org.tensorflow.op.random: Draws samples from a multinomial distribution.
StatelessMultinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessMultinomial
StatelessMultinomial.Inputs - Class in org.tensorflow.op.random
statelessParameterizedTruncatedNormal(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Operand<V>, Operand<V>) - Method in class org.tensorflow.op.RandomOps: The StatelessParameterizedTruncatedNormal operation
StatelessParameterizedTruncatedNormal<V extends TNumber> - Class in org.tensorflow.op.random: The StatelessParameterizedTruncatedNormal operation
StatelessParameterizedTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal
StatelessParameterizedTruncatedNormal.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
statelessRandomBinomial(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a binomial distribution.
statelessRandomBinomial(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>, Class<W>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a binomial distribution.
StatelessRandomBinomial<W extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a binomial distribution.
StatelessRandomBinomial(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomBinomial
StatelessRandomBinomial.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
statelessRandomGamma(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a gamma distribution.
StatelessRandomGamma - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a gamma distribution.
StatelessRandomGamma(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGamma
StatelessRandomGamma.Inputs - Class in org.tensorflow.op.random
statelessRandomGetAlg() - Method in class org.tensorflow.op.RandomOps: Picks the best counter-based RNG algorithm based on device.
StatelessRandomGetAlg - Class in org.tensorflow.op.random: Picks the best counter-based RNG algorithm based on device.
StatelessRandomGetAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetAlg
StatelessRandomGetAlg.Inputs - Class in org.tensorflow.op.random
statelessRandomGetKeyCounter(Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Scrambles seed into key and counter, using the best algorithm based on device.
StatelessRandomGetKeyCounter - Class in org.tensorflow.op.random: Scrambles seed into key and counter, using the best algorithm based on device.
StatelessRandomGetKeyCounter(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounter
StatelessRandomGetKeyCounter.Inputs - Class in org.tensorflow.op.random
statelessRandomGetKeyCounterAlg(Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Picks the best algorithm based on device, and scrambles seed into key and counter.
StatelessRandomGetKeyCounterAlg - Class in org.tensorflow.op.random: Picks the best algorithm based on device, and scrambles seed into key and counter.
StatelessRandomGetKeyCounterAlg(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg
StatelessRandomGetKeyCounterAlg.Inputs - Class in org.tensorflow.op.random
statelessRandomNormal(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
statelessRandomNormal(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormal
StatelessRandomNormal.Inputs - Class in org.tensorflow.op.random
statelessRandomNormalV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
statelessRandomNormalV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomNormalV2
StatelessRandomNormalV2.Inputs - Class in org.tensorflow.op.random
statelessRandomPoisson(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<? extends TNumber>, Class<W>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random numbers from a Poisson distribution.
StatelessRandomPoisson<W extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random numbers from a Poisson distribution.
StatelessRandomPoisson(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomPoisson
StatelessRandomPoisson.Inputs - Class in org.tensorflow.op.random
statelessRandomUniform(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
statelessRandomUniform(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniform(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniform
StatelessRandomUniform.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformFullInt(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullInt<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullInt
StatelessRandomUniformFullInt.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformFullIntV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformFullIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformFullIntV2
StatelessRandomUniformFullIntV2.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformInt(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<V>, Operand<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformInt<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformInt(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformInt
StatelessRandomUniformInt.Inputs<V extends TNumber> - Class in org.tensorflow.op.random
statelessRandomUniformIntV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Operand, Operand) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformIntV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessRandomUniformIntV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformIntV2
StatelessRandomUniformIntV2.Inputs - Class in org.tensorflow.op.random
statelessRandomUniformV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
statelessRandomUniformV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessRandomUniformV2
StatelessRandomUniformV2.Inputs - Class in org.tensorflow.op.random
statelessSampleDistortedBoundingBox(Operand<T>, Operand<TFloat32>, Operand<TFloat32>, Operand<? extends TNumber>, StatelessSampleDistortedBoundingBox.Options...) - Method in class org.tensorflow.op.ImageOps: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox<T extends TNumber> - Class in org.tensorflow.op.image: Generate a randomly distorted bounding box for an image deterministically.
StatelessSampleDistortedBoundingBox(Operation) - Constructor for class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox
StatelessSampleDistortedBoundingBox.Inputs<T extends TNumber> - Class in org.tensorflow.op.image
StatelessSampleDistortedBoundingBox.Options - Class in org.tensorflow.op.image: Optional attributes for StatelessSampleDistortedBoundingBox
statelessShuffle(Operand<T>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.RandomExperimentalOps: Randomly and deterministically shuffles a tensor along its first dimension.
StatelessShuffle<T extends TType> - Class in org.tensorflow.op.random.experimental: Randomly and deterministically shuffles a tensor along its first dimension.
StatelessShuffle(Operation) - Constructor for class org.tensorflow.op.random.experimental.StatelessShuffle
StatelessShuffle.Inputs<T extends TType> - Class in org.tensorflow.op.random.experimental
statelessTruncatedNormal(Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
statelessTruncatedNormal(Operand<? extends TNumber>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal<V extends TNumber> - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormal
StatelessTruncatedNormal.Inputs - Class in org.tensorflow.op.random
statelessTruncatedNormalV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
statelessTruncatedNormalV2(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.RandomOps: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormalV2 - Class in org.tensorflow.op.random: Outputs deterministic pseudorandom values from a truncated normal distribution.
StatelessTruncatedNormalV2(Operation) - Constructor for class org.tensorflow.op.random.StatelessTruncatedNormalV2
StatelessTruncatedNormalV2.Inputs - Class in org.tensorflow.op.random
statelessWhile(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile - Class in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
StatelessWhile(Operation) - Constructor for class org.tensorflow.op.core.StatelessWhile
StatelessWhile.Inputs - Class in org.tensorflow.op.core
staticRegexFullMatch(Operand<TString>, String) - Method in class org.tensorflow.op.StringsOps: Check if the input matches the regex pattern.
StaticRegexFullMatch - Class in org.tensorflow.op.strings: Check if the input matches the regex pattern.
StaticRegexFullMatch(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexFullMatch
StaticRegexFullMatch.Inputs - Class in org.tensorflow.op.strings
staticRegexReplace(Operand<TString>, String, String, StaticRegexReplace.Options...) - Method in class org.tensorflow.op.StringsOps: Replaces the match of pattern in input with rewrite.
StaticRegexReplace - Class in org.tensorflow.op.strings: Replaces the match of pattern in input with rewrite.
StaticRegexReplace(Operation) - Constructor for class org.tensorflow.op.strings.StaticRegexReplace
StaticRegexReplace.Inputs - Class in org.tensorflow.op.strings
StaticRegexReplace.Options - Class in org.tensorflow.op.strings: Optional attributes for StaticRegexReplace
statsAggregator - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The statsAggregator input
statsAggregator - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The statsAggregator input
statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a statistics manager resource.
statsAggregatorHandle(StatsAggregatorHandle.Options...) - Method in class org.tensorflow.op.DataOps: The StatsAggregatorHandleV2 operation
StatsAggregatorHandle - Class in org.tensorflow.op.data.experimental: Creates a statistics manager resource.
StatsAggregatorHandle - Class in org.tensorflow.op.data: The StatsAggregatorHandleV2 operation
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorHandle
StatsAggregatorHandle(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorHandle
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorHandle.Inputs - Class in org.tensorflow.op.data
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for StatsAggregatorHandle
StatsAggregatorHandle.Options - Class in org.tensorflow.op.data: Optional attributes for StatsAggregatorHandle
statsAggregatorSetSummaryWriter(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: Set a summary_writer_interface to record statistics using given stats_aggregator.
StatsAggregatorSetSummaryWriter - Class in org.tensorflow.op.data: Set a summary_writer_interface to record statistics using given stats_aggregator.
StatsAggregatorSetSummaryWriter(Operation) - Constructor for class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter
StatsAggregatorSetSummaryWriter.Inputs - Class in org.tensorflow.op.data
statsAggregatorSummary(Operand<? extends TType>) - Method in class org.tensorflow.op.DataExperimentalOps: Produces a summary of any statistics recorded by the given statistics manager.
statsAggregatorSummary(Operand<? extends TType>) - Method in class org.tensorflow.op.SummaryOps: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary - Class in org.tensorflow.op.data.experimental: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary - Class in org.tensorflow.op.summary: Produces a summary of any statistics recorded by the given statistics manager.
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.data.experimental.StatsAggregatorSummary
StatsAggregatorSummary(Operation) - Constructor for class org.tensorflow.op.summary.StatsAggregatorSummary
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.data.experimental
StatsAggregatorSummary.Inputs - Class in org.tensorflow.op.summary
stddevs - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
stdevs - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The standard deviation parameter of each batch.
step - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to step in python's xrange().
step - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The step input
step - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The step input
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The stepMarkerLocation attribute
stepMarkerLocation - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The stepMarkerLocation attribute
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the stepMarkerLocation option.
stepMarkerLocation(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the stepMarkerLocation option.
stochasticCastToInt(Operand<? extends TNumber>, Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: Stochastically cast a given tensor from floats to ints.
StochasticCastToInt - Class in org.tensorflow.op.core: Stochastically cast a given tensor from floats to ints.
StochasticCastToInt(Operation) - Constructor for class org.tensorflow.op.core.StochasticCastToInt
StochasticCastToInt.Inputs - Class in org.tensorflow.op.core
stop - Variable in class org.tensorflow.op.core.LinSpace.Inputs: 0-D tensor.
stop - Variable in class org.tensorflow.op.data.RangeDataset.Inputs: corresponds to stop in python's xrange().
stop() - Method in class org.tensorflow.Server: Stops an in-process TensorFlow server.
stopGradient(Operand<T>) - Method in class org.tensorflow.op.Ops: Stops gradient computation.
StopGradient<T extends TType> - Class in org.tensorflow.op.core: Stops gradient computation.
StopGradient(Operation) - Constructor for class org.tensorflow.op.core.StopGradient
StopGradient.Inputs<T extends TType> - Class in org.tensorflow.op.core
stopOnEmptyDataset - Variable in class org.tensorflow.op.data.DirectedInterleaveDataset.Inputs: The stopOnEmptyDataset attribute
stopOnEmptyDataset(Boolean) - Method in class org.tensorflow.op.data.DirectedInterleaveDataset.Options: Sets the stopOnEmptyDataset option.
stopOnEmptyDataset(Boolean) - Static method in class org.tensorflow.op.data.DirectedInterleaveDataset: Sets the stopOnEmptyDataset option.
storeMinibatchStatisticsInFdo(Operand<TString>, Operand<TInt32>, Operand<TInt32>, Long, Long, Long, Long, String, String) - Method in class org.tensorflow.op.TpuOps: The StoreMinibatchStatisticsInFdo operation
StoreMinibatchStatisticsInFdo - Class in org.tensorflow.op.tpu: The StoreMinibatchStatisticsInFdo operation
StoreMinibatchStatisticsInFdo(Operation) - Constructor for class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo
StoreMinibatchStatisticsInFdo.Inputs - Class in org.tensorflow.op.tpu
stride - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How widely apart the center of adjacent sample windows should be.
stride - Variable in class org.tensorflow.op.data.WindowDataset.Inputs: An integer scalar, representing the stride of the input elements in the sliding window.
stridedSlice(Scope, Operand<T>, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Return a strided slice from `input`.
stridedSlice(Operand<T>, Index...) - Method in class org.tensorflow.op.Ops: Return a strided slice from `input`.
stridedSlice(Operand<T>, Operand, Operand, Operand, StridedSlice.Options...) - Method in class org.tensorflow.op.Ops: Return a strided slice from input.
StridedSlice<T extends TType> - Class in org.tensorflow.op.core: Return a strided slice from input.
StridedSlice(Operation) - Constructor for class org.tensorflow.op.core.StridedSlice
StridedSlice.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
StridedSlice.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSlice
stridedSliceAssign(Scope, Operand<T>, Operand<T>, Index...) - Static method in class org.tensorflow.op.core.StridedSliceHelper: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand<T>, Operand<T>, Index...) - Method in class org.tensorflow.op.Ops: Assign `value` to the sliced l-value reference of `ref`.
stridedSliceAssign(Operand<T>, Operand, Operand, Operand, Operand<T>, StridedSliceAssign.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of ref.
StridedSliceAssign<T extends TType> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of ref.
StridedSliceAssign(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceAssign
StridedSliceAssign.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
StridedSliceAssign.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceAssign
stridedSliceGrad(Operand<T>, Operand<T>, Operand<T>, Operand<T>, Operand, StridedSliceGrad.Options...) - Method in class org.tensorflow.op.Ops: Returns the gradient of StridedSlice.
StridedSliceGrad - Class in org.tensorflow.op.core: Returns the gradient of StridedSlice.
StridedSliceGrad(Operation) - Constructor for class org.tensorflow.op.core.StridedSliceGrad
StridedSliceGrad.Inputs<T extends TNumber,U extends TType> - Class in org.tensorflow.op.core
StridedSliceGrad.Options - Class in org.tensorflow.op.core: Optional attributes for StridedSliceGrad
StridedSliceHelper - Class in org.tensorflow.op.core: Helper endpoint methods for Python like indexing.
StridedSliceHelper() - Constructor for class org.tensorflow.op.core.StridedSliceHelper
strides - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: 1-D of length 5.
strides - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: strides[i] specifies the increment in the ith specification after extracting a given element.
strides - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The strides input
strides - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The strides input
strides - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: How far the centers of two consecutive patches are in the images.
strides - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The stride of the sliding window for each dimension of value.
strides - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The stride of the sliding window for each dimension of the input.
strides - Variable in class org.tensorflow.op.nn.Conv.Inputs: 1-D tensor of length N+2.
strides - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: 1-D tensor of length 4.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The stride of the sliding window for each dimension of the input of the convolution.
strides - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: 1-D of length 4.
strides - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: 1-D tensor of length 5.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The stride of the sliding window for each dimension of the input tensor.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: list of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The strides attribute
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: List of stride values.
strides - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The stride of the sliding window for each dimension of the input tensor.
stringFormat(Iterable<Operand<?>>, StringFormat.Options...) - Method in class org.tensorflow.op.StringsOps: Formats a string template using a list of tensors.
StringFormat - Class in org.tensorflow.op.strings: Formats a string template using a list of tensors.
StringFormat(Operation) - Constructor for class org.tensorflow.op.strings.StringFormat
StringFormat.Inputs - Class in org.tensorflow.op.strings
StringFormat.Options - Class in org.tensorflow.op.strings: Optional attributes for StringFormat
stringHandle - Variable in class org.tensorflow.op.data.IteratorFromStringHandle.Inputs: The stringHandle input
stringHandle - Variable in class org.tensorflow.op.data.MultiDeviceIteratorFromStringHandle.Inputs: String representing the resource.
stringHandle() - Method in class org.tensorflow.op.data.IteratorToStringHandle: Gets stringHandle.
stringHandle() - Method in class org.tensorflow.op.data.MultiDeviceIteratorToStringHandle: Gets stringHandle.
stringLength(Operand<TString>, StringLength.Options...) - Method in class org.tensorflow.op.StringsOps: String lengths of input.
StringLength - Class in org.tensorflow.op.strings: String lengths of input.
StringLength(Operation) - Constructor for class org.tensorflow.op.strings.StringLength
StringLength.Inputs - Class in org.tensorflow.op.strings
StringLength.Options - Class in org.tensorflow.op.strings: Optional attributes for StringLength
stringNGrams(Operand<TString>, Operand<T>, String, List<Long>, String, String, Long, Boolean) - Method in class org.tensorflow.op.StringsOps: Creates ngrams from ragged string data.
StringNGrams<T extends TNumber> - Class in org.tensorflow.op.strings: Creates ngrams from ragged string data.
StringNGrams(Operation) - Constructor for class org.tensorflow.op.strings.StringNGrams
StringNGrams.Inputs<T extends TNumber> - Class in org.tensorflow.op.strings
strings - Variable in class org.tensorflow.op.Ops
StringsOps - Class in org.tensorflow.op: An API for building strings operations as Ops
stringSplit(Operand<TString>, Operand<TString>, StringSplit.Options...) - Method in class org.tensorflow.op.StringsOps: Split elements of source based on sep into a SparseTensor.
StringSplit - Class in org.tensorflow.op.strings: Split elements of source based on sep into a SparseTensor.
StringSplit(Operation) - Constructor for class org.tensorflow.op.strings.StringSplit
StringSplit.Inputs - Class in org.tensorflow.op.strings
StringSplit.Options - Class in org.tensorflow.op.strings: Optional attributes for StringSplit
stringTensor - Variable in class org.tensorflow.op.strings.ToHashBucket.Inputs: The stringTensor input
stringTensor - Variable in class org.tensorflow.op.strings.ToNumber.Inputs: The stringTensor input
strip(Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Strip leading and trailing whitespaces from the Tensor.
Strip - Class in org.tensorflow.op.strings: Strip leading and trailing whitespaces from the Tensor.
Strip(Operation) - Constructor for class org.tensorflow.op.strings.Strip
Strip.Inputs - Class in org.tensorflow.op.strings
stripDeviceAssignment - Variable in class org.tensorflow.op.data.DatasetToGraph.Inputs: The stripDeviceAssignment attribute
stripDeviceAssignment(Boolean) - Method in class org.tensorflow.op.data.DatasetToGraph.Options: Sets the stripDeviceAssignment option.
stripDeviceAssignment(Boolean) - Static method in class org.tensorflow.op.data.DatasetToGraph: Sets the stripDeviceAssignment option.
strongHash - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: boolean, if true, siphash with salt will be used instead of farmhash.
sub(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x - y element-wise.
Sub<T extends TType> - Class in org.tensorflow.op.math: Returns x - y element-wise.
Sub(Operation) - Constructor for class org.tensorflow.op.math.Sub
Sub.Inputs<T extends TType> - Class in org.tensorflow.op.math
subdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing subdiagonals of tri-diagonal matrices to the left of multiplication.
subgraphFrom(Set<Operand<?>>) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphFromOps(Set<GraphOperation>) - Method in class org.tensorflow.Graph: Get all ops that use one of inputs directly or indirectly (not including inputs), including control dependencies.
subgraphTo(Set<Operand<?>>) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subgraphToOps(Set<GraphOperation>) - Method in class org.tensorflow.Graph: Get all ops directly or indirectly required to calculate outputs (not including outputs), including control dependencies.
subsample - Variable in class org.tensorflow.op.core.Skipgram.Inputs: Threshold for word occurrence.
subsample(Float) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the subsample option.
subsample(Float) - Static method in class org.tensorflow.op.core.Skipgram: Sets the subsample option.
substr(Operand<TString>, Operand<T>, Operand<T>, Substr.Options...) - Method in class org.tensorflow.op.StringsOps: Return substrings from Tensor of strings.
Substr - Class in org.tensorflow.op.strings: Return substrings from Tensor of strings.
Substr(Operation) - Constructor for class org.tensorflow.op.strings.Substr
Substr.Inputs<T extends TNumber> - Class in org.tensorflow.op.strings
Substr.Options - Class in org.tensorflow.op.strings: Optional attributes for Substr
success() - Method in class org.tensorflow.op.tpu.ShutdownTPUSystem: Gets success.
sum() - Method in class org.tensorflow.op.math.AccumulateN: Gets sum.
sum() - Method in class org.tensorflow.op.math.AddN: Gets sum.
sum(Operand<T>, Operand<? extends TNumber>, Sum.Options...) - Method in class org.tensorflow.op.Ops: Computes the sum of elements across dimensions of a tensor.
Sum<T extends TType> - Class in org.tensorflow.op.core: Computes the sum of elements across dimensions of a tensor.
Sum(Operation) - Constructor for class org.tensorflow.op.core.Sum
Sum.Inputs<T extends TType> - Class in org.tensorflow.op.core
Sum.Options - Class in org.tensorflow.op.core: Optional attributes for Sum
sumIndices - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: 2-D.
sumIndices() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumIndices.
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The summand input
summand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The summand input
summarize - Variable in class org.tensorflow.op.core.AssertThat.Inputs: Print this many entries of each tensor.
summarize - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: When formatting the tensor summaries print the first and last summarize entries of each tensor dimension.
summarize(Long) - Method in class org.tensorflow.op.core.AssertThat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.core.AssertThat: Sets the summarize option.
summarize(Long) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the summarize option.
summarize(Long) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the summarize option.
summary - Variable in class org.tensorflow.op.data.StatsAggregatorSetSummaryWriter.Inputs: The summary input
summary - Variable in class org.tensorflow.op.Ops
summary() - Method in class org.tensorflow.op.data.experimental.StatsAggregatorSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.AudioSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.HistogramSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ImageSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.MergeSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.ScalarSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.StatsAggregatorSummary: Gets summary.
summary() - Method in class org.tensorflow.op.summary.TensorSummary: Gets summary.
summaryMetadata - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The summaryMetadata input
SummaryOps - Class in org.tensorflow.op: An API for building summary operations as Ops
summaryWriter(SummaryWriter.Options...) - Method in class org.tensorflow.op.SummaryOps: The SummaryWriter operation
SummaryWriter - Class in org.tensorflow.op.summary: The SummaryWriter operation
SummaryWriter(Operation) - Constructor for class org.tensorflow.op.summary.SummaryWriter
SummaryWriter.Inputs - Class in org.tensorflow.op.summary
SummaryWriter.Options - Class in org.tensorflow.op.summary: Optional attributes for SummaryWriter
sumShape() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumShape.
sumValues() - Method in class org.tensorflow.op.sparse.SparseAdd: Gets sumValues.
superdiag - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: Tensor of shape [..., 1, M], representing superdiagonals of tri-diagonal matrices to the left of multiplication.
svd(Operand<T>, Svd.Options...) - Method in class org.tensorflow.op.LinalgOps: Computes the singular value decompositions of one or more matrices.
Svd<T extends TType> - Class in org.tensorflow.op.linalg: Computes the singular value decompositions of one or more matrices.
Svd(Operation) - Constructor for class org.tensorflow.op.linalg.Svd
Svd.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
Svd.Options - Class in org.tensorflow.op.linalg: Optional attributes for Svd
swapMemory - Variable in class org.tensorflow.op.core.StackPush.Inputs: Swap elem to CPU.
swapMemory(Boolean) - Method in class org.tensorflow.op.core.StackPush.Options: Sets the swapMemory option.
swapMemory(Boolean) - Static method in class org.tensorflow.op.core.StackPush: Sets the swapMemory option.
switchCond(Operand<T>, Operand<TBool>) - Method in class org.tensorflow.op.Ops: Forwards data to the output port determined by pred.
SwitchCond<T extends TType> - Class in org.tensorflow.op.core: Forwards data to the output port determined by pred.
SwitchCond(Operation) - Constructor for class org.tensorflow.op.core.SwitchCond
SwitchCond.Inputs<T extends TType> - Class in org.tensorflow.op.core
symbolicGradient(Iterable<Operand<?>>, List<Class<? extends TType>>, ConcreteFunction) - Method in class org.tensorflow.op.TrainOps: Computes the gradient function for function f via backpropagation.
SymbolicGradient - Class in org.tensorflow.op.train: Computes the gradient function for function f via backpropagation.
SymbolicGradient(Operation) - Constructor for class org.tensorflow.op.train.SymbolicGradient
SymbolicGradient.Inputs - Class in org.tensorflow.op.train
syncDevice() - Method in class org.tensorflow.op.Ops: Synchronizes the device this op is run on.
SyncDevice - Class in org.tensorflow.op.core: Synchronizes the device this op is run on.
SyncDevice(Operation) - Constructor for class org.tensorflow.op.core.SyncDevice
SyncDevice.Inputs - Class in org.tensorflow.op.core

T

t - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: A Tensor.
t - Variable in class org.tensorflow.op.core.Select.Inputs: The t input
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
t - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 4D input Tensor.
t - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: Typically 2-D, but may have any dimensions.
t - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 4D input Tensor.
T - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectivePermute.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ApproxTopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssertThat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Assign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Batch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastGradientArgs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Bucketize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ClipByValue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Concat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Copy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyToMesh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CopyToMeshGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.CountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicPartition.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.DynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.EnsureShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Enter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Exit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ExtractVolumePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fill.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Fingerprint.Inputs: This can be a POD-type or string type.
T - Variable in class org.tensorflow.op.core.For.Inputs: A list of dtypes.
T - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.GuaranteeConst.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Identity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.IdentityN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.LowerBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Max.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Merge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Min.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.NcclAllReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclBroadcast.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NcclReduce.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.core.NextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OneHot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.OnesLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Pad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ParallelDynamicStitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Prod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Rank.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefEnter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefExit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefMerge.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefNextIteration.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSelect.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RefSwitch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Relayout.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reshape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceCountUpTo.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Reverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Roll.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Select.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Send.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SetSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Shape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ShapeN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Size.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Slice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Snapshot.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Split.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SplitV.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Squeeze.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Stack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StackPush.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StatefulWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StatelessWhile.Inputs: dtype in use.
T - Variable in class org.tensorflow.op.core.StopGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.StridedSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Sum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.SwitchCond.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Tile.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UnbatchGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The type of operand, min, max, and output.
T - Variable in class org.tensorflow.op.core.Unique.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Unstack.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.UpperBound.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.Where.Inputs: The T attribute
T - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: The T attribute
T - Variable in class org.tensorflow.op.data.LeakyReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugGradientRefIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclAllReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclBroadcast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.distribute.NcclReduce.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The T attribute
T - Variable in class org.tensorflow.op.dtypes.ToBool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustContrast.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustHue.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.AdjustSaturation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.CropAndResizeGradImage.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.DrawBoundingBoxes.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.EncodePng.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ExtractImagePatches.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.HsvToRgb.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.NonMaxSuppression.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.QuantizedResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RandomCrop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeArea.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubic.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBicubicGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinear.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeBilinearGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighbor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ResizeNearestNeighborGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.RgbToHsv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeManySparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: The type of the input tensor.
T - Variable in class org.tensorflow.op.linalg.BandedTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchCholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixBandPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixInverse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchMatrixTriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.BatchSvd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cholesky.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.CholeskyGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Cross.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Det.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Einsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Inv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.LogMatrixDeterminant.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Lu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagPartV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixDiagV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixExponential.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixLogarithm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSetDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.MatrixSolveLs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Qr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.SelfAdjointEig.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Solve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.DenseToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Sqrtm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Svd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TensorDiagPart.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TriangularSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.linalg.TridiagonalSolve.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Abs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AccumulateN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Acosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Add.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.AddN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Angle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Asinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atan2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Atanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Betainc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Bincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ceil.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Conj.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cosh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Digamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Div.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Equal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Erfc.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.erfinv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Exp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Expm1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Floor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Greater.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Igammac.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Imag.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsInf.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.IsNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Less.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Log1p.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Maximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Minimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Mul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Neg.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Pow.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Real.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RequantizationRangePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.RequantizePerChannel.Inputs: The quantized type of input tensor that needs to be converted.
T - Variable in class org.tensorflow.op.math.Rint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Round.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sinh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Softplus.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SoftplusGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Square.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Sub.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tan.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Tanh.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UniformQuantizedAdd.Inputs: The type of lhs, rhs, and output.
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The T attribute
T - Variable in class org.tensorflow.op.math.Zeta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.AvgPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BiasAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcBeamSearchDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcGreedyDecoder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CtcLoss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRnnParamsSize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthToSpace.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNative.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.DepthwiseConv2dNativeBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropFilter.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Dilation2dBackpropInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Elu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.EluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalAvgPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FractionalMaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the elements of input and output Tensors.
T - Variable in class org.tensorflow.op.nn.FusedPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.FusedResizeAndPadConv2d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InTopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.IsotonicRegression.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.L2Loss.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LeakyRelu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalization.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LocalResponseNormalizationGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LogSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3d.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPool3dGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.NthElement.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedAvgPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.QuantizedMaxPool.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Relu6Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.ReluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Selu.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SeluGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.Softsign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SoftsignGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SpaceToDepth.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The T attribute
T - Variable in class org.tensorflow.op.nn.TopK.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Dequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.Quantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantize.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV3.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizeAndDequantizeV4Grad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRowsGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.Multinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.ParameterizedTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGamma.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomGammaGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomStandardNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatefulRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.random.TruncatedNormal.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddManySparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.AddSparseToTensorsMap.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseAddGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Dtype of the input values tensor.
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseDiv.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseDenseCwiseMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRowsGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceMaxSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReduceSumSparse.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseReorder.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSliceGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSoftmax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMaximum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSparseMinimum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The T attribute
T - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: The T attribute
T - Variable in class org.tensorflow.op.strings.Substr.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.AllToAll.Inputs: The type of elements to be exchanged.
T - Variable in class org.tensorflow.op.tpu.CrossReplicaSum.Inputs: The type of elements to be summed.
T - Variable in class org.tensorflow.op.tpu.PartitionedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.PartitionedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedInput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.ReplicatedOutput.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedInput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.tpu.TPUReplicatedOutput.Inputs: Deprecated.

The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.PreventGradient.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The T attribute
T - Variable in class org.tensorflow.op.train.TileGrad.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.AssignVariableConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ConcatND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.ReadVariableSplitND.Inputs: The T attribute
T - Variable in class org.tensorflow.op.xla.SplitND.Inputs: The T attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T1 attribute
T1 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T1 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.nn.QuantizedBiasAdd.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T2 attribute
T2 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T2 attribute
T3 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingArbitraryTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseBatch.Inputs: The T3 attribute
T3 - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: The T3 attribute
Ta - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Ta attribute
Ta - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Ta attribute
tableHandle - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Handle to a table which will be initialized.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.core.LookupTableSize.Inputs: Handle to the table.
tableHandle - Variable in class org.tensorflow.op.data.InitializeTableFromDataset.Inputs: The tableHandle input
tableHandle() - Method in class org.tensorflow.op.core.AnonymousHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.HashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableDenseHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTable: Gets tableHandle.
tableHandle() - Method in class org.tensorflow.op.core.MutableHashTableOfTensors: Gets tableHandle.
tableId - Variable in class org.tensorflow.op.tpu.EmbeddingActivations.Inputs: The id of the table in the embedding layer configuration from which these activations were computed.
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableId attribute
tableId - Variable in class org.tensorflow.op.tpu.TPUEmbeddingActivations.Inputs: Deprecated.

The id of the table in the embedding layer configuration from which these activations were computed.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableId option.
tableId(Long) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableId option.
tableId(Long) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableId option.
tableIds - Variable in class org.tensorflow.op.tpu.DynamicEnqueueTPUEmbeddingRaggedTensorBatch.Inputs: The tableIds attribute
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingRaggedTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableIds - Variable in class org.tensorflow.op.tpu.EnqueueTPUEmbeddingSparseTensorBatch.Inputs: A list of integers specifying the identifier of the embedding table (offset of TableDescriptor in the TPUEmbeddingConfiguration) to lookup the corresponding input.
tableName - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.tpu.StoreMinibatchStatisticsInFdo.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs: The tableName attribute
tableName - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput.Inputs: The tableName attribute
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.LoadTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingCenteredRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFrequencyEstimatorParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingFTRLParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMomentumParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalAdagradParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingRMSPropParameters: Sets the tableName option.
tableName(String) - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters.Options: Sets the tableName option.
tableName(String) - Static method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingStochasticGradientDescentParameters: Sets the tableName option.
tableVocabSize - Variable in class org.tensorflow.op.tpu.GetMinibatchesInCsrWithPhysicalReplica.Inputs: The tableVocabSize attribute
tableVocabSize - Variable in class org.tensorflow.op.tpu.GetMinibatchSplitsWithPhysicalReplica.Inputs: The tableVocabSize attribute
Tactivation - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The type of output produced by activation function following this operation.
tag - Variable in class org.tensorflow.op.data.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.BytesProducedStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.experimental.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.LatencyStatsDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.data.SetStatsAggregatorDataset.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: Scalar.
tag - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A string attached to this summary.
tag - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The tag input
tag - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tag input
tags - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Tags for the summary.
tail(Shape<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Shape, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
tail(Scope, Shape<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of the Shape.
tail(Scope, Shape, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional Operand that contains the dimension matching the last dimension of * the Shape.
take(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
take(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand with the dimensions matching the first n dimensions of the shape.
take(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containin the dimensions matching the first n dimensions of the shape.
takeDataset(Operand<? extends TType>, Operand<TInt64>, List<Class<? extends TType>>, List<Shape>, TakeDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains count elements from the input_dataset.
TakeDataset - Class in org.tensorflow.op.data: Creates a dataset that contains count elements from the input_dataset.
TakeDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeDataset
TakeDataset.Inputs - Class in org.tensorflow.op.data
TakeDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeDataset
takeLast(Shape<TInt32>, Operand<TInt32>) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Shape, Operand, Class) - Method in class org.tensorflow.op.ShapeOps: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Scope, Shape<TInt32>, Operand<TInt32>) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeLast(Scope, Shape, Operand, Class) - Static method in class org.tensorflow.op.core.Shapes: Creates a 1-dimensional operand containing the dimensions matching the last n dimensions of the shape.
takeManySparseFromTensorsMap(Operand<TInt64>, Class<T>, TakeManySparseFromTensorsMap.Options...) - Method in class org.tensorflow.op.SparseOps: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap<T extends TType> - Class in org.tensorflow.op.sparse: Read SparseTensors from a SparseTensorsMap and concatenate them.
TakeManySparseFromTensorsMap(Operation) - Constructor for class org.tensorflow.op.sparse.TakeManySparseFromTensorsMap
TakeManySparseFromTensorsMap.Inputs - Class in org.tensorflow.op.sparse
TakeManySparseFromTensorsMap.Options - Class in org.tensorflow.op.sparse: Optional attributes for TakeManySparseFromTensorsMap
takeWhileDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that stops iteration when predicate` is false.
takeWhileDataset(Operand<? extends TType>, Iterable<Operand<?>>, ConcreteFunction, List<Class<? extends TType>>, List<Shape>, TakeWhileDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset - Class in org.tensorflow.op.data: Creates a dataset that stops iteration when predicate` is false.
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.TakeWhileDataset
TakeWhileDataset(Operation) - Constructor for class org.tensorflow.op.data.TakeWhileDataset
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data.experimental
TakeWhileDataset.Inputs - Class in org.tensorflow.op.data
TakeWhileDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TakeWhileDataset
tan(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes tan of x element-wise.
Tan<T extends TType> - Class in org.tensorflow.op.math: Computes tan of x element-wise.
Tan(Operation) - Constructor for class org.tensorflow.op.math.Tan
Tan.Inputs<T extends TType> - Class in org.tensorflow.op.math
tanh(Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes hyperbolic tangent of x element-wise.
Tanh<T extends TType> - Class in org.tensorflow.op.math: Computes hyperbolic tangent of x element-wise.
Tanh(Operation) - Constructor for class org.tensorflow.op.math.Tanh
Tanh.Inputs<T extends TType> - Class in org.tensorflow.op.math
tanhGrad(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Computes the gradient for the tanh of x wrt its input.
TanhGrad<T extends TType> - Class in org.tensorflow.op.math: Computes the gradient for the tanh of x wrt its input.
TanhGrad(Operation) - Constructor for class org.tensorflow.op.math.TanhGrad
TanhGrad.Inputs<T extends TType> - Class in org.tensorflow.op.math
target - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: A fully specified device name where we want to run the function.
targets - Variable in class org.tensorflow.op.nn.InTopK.Inputs: A batch_size vector of class ids.
targetWorkers - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The targetWorkers attribute
targetWorkers(String) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the targetWorkers option.
targetWorkers(String) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the targetWorkers option.
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolGradWithArgmax.Inputs: The Targmax attribute
Targmax - Variable in class org.tensorflow.op.nn.MaxPoolWithArgmax.Inputs: The Targmax attribute
Targs - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Targs attribute
Targs - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Targs attribute
Targuments - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Targuments - Variable in class org.tensorflow.op.data.ChooseFastestBranchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.experimental.TakeWhileDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FilterDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.FlatMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.InterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.LegacyParallelInterleaveDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapAndBatchDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ParallelFilterDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ParallelInterleaveDataset.Inputs: Types of the elements of other_arguments.
Targuments - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Targuments attribute
Targuments - Variable in class org.tensorflow.op.data.TakeWhileDataset.Inputs: The Targuments attribute
task() - Method in class org.tensorflow.DeviceSpec
task(Integer) - Method in class org.tensorflow.DeviceSpec.Builder
taskRefreshIntervalHintMs - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The taskRefreshIntervalHintMs attribute
taskRefreshIntervalHintMs(Long) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the taskRefreshIntervalHintMs option.
taskRefreshIntervalHintMs(Long) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the taskRefreshIntervalHintMs option.
Taxis - Variable in class org.tensorflow.op.core.Gather.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Roll.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.Unique.Inputs: The Taxis attribute
Taxis - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: The Taxis attribute
Tb - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The Tb attribute
Tb - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: The Tb attribute
TBfloat16 - Interface in org.tensorflow.types: Brain 16-bit float tensor type.
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the bias.
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Tbias attribute
Tbias - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Tbias attribute
TblockShape - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The TblockShape attribute
TblockShape - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The TblockShape attribute
TBool - Interface in org.tensorflow.types: Boolean tensor type.
Tcaptured - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the captured tensors.
Tcaptured - Variable in class org.tensorflow.op.core.MapDefun.Inputs: A list of types.
Tcomplex - Variable in class org.tensorflow.op.signal.Fft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Fft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.FftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Ifft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.IfftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Tcomplex attribute
Tcomplex - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: The Tcomplex attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantFromComponents.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.core.CompositeTensorVariantToComponents.Inputs: Expected dtypes for components.
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: The Tcomponents attribute
Tcomponents - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: The Tcomponents attribute
Tcond - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: The Tcond attribute
Tcond - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: The Tcond attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSequenceExample.Inputs: The TcontextDense attribute
TcontextDense - Variable in class org.tensorflow.op.io.ParseSingleSequenceExample.Inputs: The TcontextDense attribute
Tcrops - Variable in class org.tensorflow.op.core.BatchToSpaceNd.Inputs: The Tcrops attribute
Tdense - Variable in class org.tensorflow.op.data.experimental.ParseExampleDataset.Inputs: A list of DTypes of the same length as dense_keys.
Tdense - Variable in class org.tensorflow.op.data.ParseExampleDataset.Inputs: A list of DTypes of the same length as dense_keys.
Tdense - Variable in class org.tensorflow.op.io.ParseExample.Inputs: The Tdense attribute
Tdense - Variable in class org.tensorflow.op.io.ParseSingleExample.Inputs: The data types of data in each Feature given in dense_keys.
Tdim - Variable in class org.tensorflow.op.core.ExpandDims.Inputs: The Tdim attribute
template - Variable in class org.tensorflow.op.strings.StringFormat.Inputs: A string, the template to format tensor summaries into.
template(String) - Method in class org.tensorflow.op.strings.StringFormat.Options: Sets the template option.
template(String) - Static method in class org.tensorflow.op.strings.StringFormat: Sets the template option.
temporaryVariable(Shape, Class<T>, TemporaryVariable.Options...) - Method in class org.tensorflow.op.Ops: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable(Operation) - Constructor for class org.tensorflow.op.core.TemporaryVariable
TemporaryVariable.Inputs - Class in org.tensorflow.op.core
TemporaryVariable.Options - Class in org.tensorflow.op.core: Optional attributes for TemporaryVariable
tensor - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.Reshape.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.Reverse.Inputs: Up to 8-D.
tensor - Variable in class org.tensorflow.op.core.Send.Inputs: The tensor to send.
tensor - Variable in class org.tensorflow.op.core.TensorListFromTensor.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListPushBack.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListPushBackBatch.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatter.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListScatterIntoExistingList.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorListSplit.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Tensor to update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Tensor to copy/update.
tensor - Variable in class org.tensorflow.op.debugging.CheckNumerics.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.io.SerializeTensor.Inputs: A Tensor of type T.
tensor - Variable in class org.tensorflow.op.summary.AudioSummary.Inputs: 2-D of shape [batch_size, frames].
tensor - Variable in class org.tensorflow.op.summary.ImageSummary.Inputs: 4-D of shape [batch_size, height, width, channels] where channels is 1, 3, or 4.
tensor - Variable in class org.tensorflow.op.summary.TensorSummary.Inputs: A tensor to serialize.
tensor - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The tensor input
tensor - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The tensor input
tensor() - Method in class org.tensorflow.op.core.ImmutableConst: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.Recv: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListConcat: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListPopBack: Gets tensor.
tensor() - Method in class org.tensorflow.op.core.TensorListStack: Gets tensor.
tensor() - Method in class org.tensorflow.op.train.RestoreSlice: Gets tensor.
Tensor - Interface in org.tensorflow: A statically typed multi-dimensional array.
tensorArray(Operand<TInt32>, Class<T>, TensorArray.Options...) - Method in class org.tensorflow.op.Ops: An array of Tensors of given size.
TensorArray - Class in org.tensorflow.op.core: An array of Tensors of given size.
TensorArray(Operation) - Constructor for class org.tensorflow.op.core.TensorArray
TensorArray.Inputs - Class in org.tensorflow.op.core
TensorArray.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArray
tensorArrayClose(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Delete the TensorArray from its resource container.
TensorArrayClose - Class in org.tensorflow.op.core: Delete the TensorArray from its resource container.
TensorArrayClose(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayClose
TensorArrayClose.Inputs - Class in org.tensorflow.op.core
tensorArrayConcat(Operand<? extends TType>, Operand<TFloat32>, Class<T>, TensorArrayConcat.Options...) - Method in class org.tensorflow.op.Ops: Concat the elements from the TensorArray into value value.
TensorArrayConcat<T extends TType> - Class in org.tensorflow.op.core: Concat the elements from the TensorArray into value value.
TensorArrayConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayConcat
TensorArrayConcat.Inputs - Class in org.tensorflow.op.core
TensorArrayConcat.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayConcat
tensorArrayGather(Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>, TensorArrayGather.Options...) - Method in class org.tensorflow.op.Ops: Gather specific elements from the TensorArray into output value.
TensorArrayGather<T extends TType> - Class in org.tensorflow.op.core: Gather specific elements from the TensorArray into output value.
TensorArrayGather(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGather
TensorArrayGather.Inputs - Class in org.tensorflow.op.core
TensorArrayGather.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayGather
tensorArrayGrad(Operand<? extends TType>, Operand<TFloat32>, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad - Class in org.tensorflow.op.core: Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGrad(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGrad
TensorArrayGrad.Inputs - Class in org.tensorflow.op.core
tensorArrayGradWithShape(Operand<? extends TType>, Operand<TFloat32>, Operand<TInt32>, String) - Method in class org.tensorflow.op.Ops: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape - Class in org.tensorflow.op.core: Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayGradWithShape(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayGradWithShape
TensorArrayGradWithShape.Inputs - Class in org.tensorflow.op.core
tensorArrayName - Variable in class org.tensorflow.op.core.TensorArray.Inputs: Overrides the name used for the temporary tensor_array resource.
tensorArrayName(String) - Method in class org.tensorflow.op.core.TensorArray.Options: Sets the tensorArrayName option.
tensorArrayName(String) - Static method in class org.tensorflow.op.core.TensorArray: Sets the tensorArrayName option.
tensorArrayPack(Operand<TString>, Operand<TFloat32>, Class<T>, TensorArrayPack.Options...) - Method in class org.tensorflow.op.Ops: The TensorArrayPack operation
TensorArrayPack<T extends TType> - Class in org.tensorflow.op.core: The TensorArrayPack operation
TensorArrayPack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayPack
TensorArrayPack.Inputs - Class in org.tensorflow.op.core
TensorArrayPack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorArrayPack
tensorArrayRead(Operand<? extends TType>, Operand<TInt32>, Operand<TFloat32>, Class<T>) - Method in class org.tensorflow.op.Ops: Read an element from the TensorArray into output value.
TensorArrayRead<T extends TType> - Class in org.tensorflow.op.core: Read an element from the TensorArray into output value.
TensorArrayRead(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayRead
TensorArrayRead.Inputs - Class in org.tensorflow.op.core
tensorArrayScatter(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter - Class in org.tensorflow.op.core: Scatter the data from the input value into specific TensorArray elements.
TensorArrayScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayScatter
TensorArrayScatter.Inputs - Class in org.tensorflow.op.core
tensorArraySize(Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Get the current size of the TensorArray.
TensorArraySize - Class in org.tensorflow.op.core: Get the current size of the TensorArray.
TensorArraySize(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySize
TensorArraySize.Inputs - Class in org.tensorflow.op.core
tensorArraySplit(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt64>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Split the data from the input value into TensorArray elements.
TensorArraySplit - Class in org.tensorflow.op.core: Split the data from the input value into TensorArray elements.
TensorArraySplit(Operation) - Constructor for class org.tensorflow.op.core.TensorArraySplit
TensorArraySplit.Inputs - Class in org.tensorflow.op.core
tensorArrayUnpack(Operand<TString>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: The TensorArrayUnpack operation
TensorArrayUnpack - Class in org.tensorflow.op.core: The TensorArrayUnpack operation
TensorArrayUnpack(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayUnpack
TensorArrayUnpack.Inputs - Class in org.tensorflow.op.core
tensorArrayWrite(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>) - Method in class org.tensorflow.op.Ops: Push an element onto the tensor_array.
TensorArrayWrite - Class in org.tensorflow.op.core: Push an element onto the tensor_array.
TensorArrayWrite(Operation) - Constructor for class org.tensorflow.op.core.TensorArrayWrite
TensorArrayWrite.Inputs - Class in org.tensorflow.op.core
tensorDataset(Iterable<Operand<?>>, List<Shape>, TensorDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset - Class in org.tensorflow.op.data: Creates a dataset that emits components as a tuple of tensors once.
TensorDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorDataset
TensorDataset.Inputs - Class in org.tensorflow.op.data
TensorDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorDataset
tensorDebugMode - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Tensor debug mode: the mode in which the input tensor is summarized by the op.
tensorDebugMode(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorDebugMode option.
tensorDebugMode(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorDebugMode option.
TensorDescription(DataType, Shape, String) - Constructor for class org.tensorflow.Signature.TensorDescription
tensorDiag(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns a diagonal tensor with a given diagonal values.
TensorDiag<T extends TType> - Class in org.tensorflow.op.linalg: Returns a diagonal tensor with a given diagonal values.
TensorDiag(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiag
TensorDiag.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
tensorDiagPart(Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Returns the diagonal part of the tensor.
TensorDiagPart<T extends TType> - Class in org.tensorflow.op.linalg: Returns the diagonal part of the tensor.
TensorDiagPart(Operation) - Constructor for class org.tensorflow.op.linalg.TensorDiagPart
TensorDiagPart.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
tensorflow - module tensorflow
TensorFlow - Class in org.tensorflow: Static utility methods describing the TensorFlow runtime.
TensorFunction - Interface in org.tensorflow: A function that can be called with tensors.
tensorId - Variable in class org.tensorflow.op.debugging.DebugNumericsSummary.Inputs: Optional.
tensorId(Long) - Method in class org.tensorflow.op.debugging.DebugNumericsSummary.Options: Sets the tensorId option.
tensorId(Long) - Static method in class org.tensorflow.op.debugging.DebugNumericsSummary: Sets the tensorId option.
tensorListConcat(Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>, Class) - Method in class org.tensorflow.op.Ops: Concats all tensors in the list along the 0th dimension.
TensorListConcat - Class in org.tensorflow.op.core: Concats all tensors in the list along the 0th dimension.
TensorListConcat(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcat
TensorListConcat.Inputs - Class in org.tensorflow.op.core
tensorListConcatLists(Operand<? extends TType>, Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: The TensorListConcatLists operation
TensorListConcatLists - Class in org.tensorflow.op.core: The TensorListConcatLists operation
TensorListConcatLists(Operation) - Constructor for class org.tensorflow.op.core.TensorListConcatLists
TensorListConcatLists.Inputs - Class in org.tensorflow.op.core
tensorListElementShape(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: The shape of the elements of the given list, as a tensor.
TensorListElementShape<T extends TNumber> - Class in org.tensorflow.op.core: The shape of the elements of the given list, as a tensor.
TensorListElementShape(Operation) - Constructor for class org.tensorflow.op.core.TensorListElementShape
TensorListElementShape.Inputs - Class in org.tensorflow.op.core
tensorListFromTensor(Operand<? extends TType>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor - Class in org.tensorflow.op.core: Creates a TensorList which, when stacked, has the value of tensor.
TensorListFromTensor(Operation) - Constructor for class org.tensorflow.op.core.TensorListFromTensor
TensorListFromTensor.Inputs - Class in org.tensorflow.op.core
tensorListGather(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a Tensor by indexing into the TensorList.
TensorListGather<T extends TType> - Class in org.tensorflow.op.core: Creates a Tensor by indexing into the TensorList.
TensorListGather(Operation) - Constructor for class org.tensorflow.op.core.TensorListGather
TensorListGather.Inputs - Class in org.tensorflow.op.core
tensorListGetItem(Operand<? extends TType>, Operand<TInt32>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns the item in the list with the given index.
TensorListGetItem<T extends TType> - Class in org.tensorflow.op.core: Returns the item in the list with the given index.
TensorListGetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListGetItem
TensorListGetItem.Inputs - Class in org.tensorflow.op.core
tensorListLength(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor list.
TensorListLength - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor list.
TensorListLength(Operation) - Constructor for class org.tensorflow.op.core.TensorListLength
TensorListLength.Inputs - Class in org.tensorflow.op.core
tensorListPopBack(Operand<? extends TType>, Operand<TInt32>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns the last element of the input list as well as a list with all but that element.
TensorListPopBack<T extends TType> - 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(Operation) - Constructor for class org.tensorflow.op.core.TensorListPopBack
TensorListPopBack.Inputs - Class in org.tensorflow.op.core
tensorListPushBack(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack - Class in org.tensorflow.op.core: Returns a list which has the passed-in Tensor as last element and the other elements of the given list in input_handle.
TensorListPushBack(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBack
TensorListPushBack.Inputs - Class in org.tensorflow.op.core
tensorListPushBackBatch(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: The TensorListPushBackBatch operation
TensorListPushBackBatch - Class in org.tensorflow.op.core: The TensorListPushBackBatch operation
TensorListPushBackBatch(Operation) - Constructor for class org.tensorflow.op.core.TensorListPushBackBatch
TensorListPushBackBatch.Inputs - Class in org.tensorflow.op.core
tensorListReserve(Operand<? extends TNumber>, Operand<TInt32>, Class) - Method in class org.tensorflow.op.Ops: List of the given size with empty elements.
TensorListReserve - Class in org.tensorflow.op.core: List of the given size with empty elements.
TensorListReserve(Operation) - Constructor for class org.tensorflow.op.core.TensorListReserve
TensorListReserve.Inputs - Class in org.tensorflow.op.core
tensorListResize(Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Resizes the list.
TensorListResize - Class in org.tensorflow.op.core: Resizes the list.
TensorListResize(Operation) - Constructor for class org.tensorflow.op.core.TensorListResize
TensorListResize.Inputs - Class in org.tensorflow.op.core
tensorListScatter(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TNumber>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Creates a TensorList by indexing into a Tensor.
TensorListScatter - Class in org.tensorflow.op.core: Creates a TensorList by indexing into a Tensor.
TensorListScatter(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatter
TensorListScatter.Inputs - Class in org.tensorflow.op.core
tensorListScatterIntoExistingList(Operand<? extends TType>, Operand<? extends TType>, Operand<TInt32>) - Method in class org.tensorflow.op.Ops: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList - Class in org.tensorflow.op.core: Scatters tensor at indices in an input list.
TensorListScatterIntoExistingList(Operation) - Constructor for class org.tensorflow.op.core.TensorListScatterIntoExistingList
TensorListScatterIntoExistingList.Inputs - Class in org.tensorflow.op.core
tensorListSetItem(Operand<? extends TType>, Operand<TInt32>, Operand<? extends TType>, TensorListSetItem.Options...) - Method in class org.tensorflow.op.Ops: Sets the index-th position of the list to contain the given tensor.
TensorListSetItem - Class in org.tensorflow.op.core: Sets the index-th position of the list to contain the given tensor.
TensorListSetItem(Operation) - Constructor for class org.tensorflow.op.core.TensorListSetItem
TensorListSetItem.Inputs - Class in org.tensorflow.op.core
TensorListSetItem.Options - Class in org.tensorflow.op.core: Optional attributes for TensorListSetItem
tensorListSplit(Operand<? extends TType>, Operand<? extends TNumber>, Operand<TInt64>) - Method in class org.tensorflow.op.Ops: Splits a tensor into a list.
TensorListSplit - Class in org.tensorflow.op.core: Splits a tensor into a list.
TensorListSplit(Operation) - Constructor for class org.tensorflow.op.core.TensorListSplit
TensorListSplit.Inputs - Class in org.tensorflow.op.core
tensorListStack(Operand<? extends TType>, Operand<TInt32>, Class<T>, TensorListStack.Options...) - Method in class org.tensorflow.op.Ops: Stacks all tensors in the list.
TensorListStack<T extends TType> - Class in org.tensorflow.op.core: Stacks all tensors in the list.
TensorListStack(Operation) - Constructor for class org.tensorflow.op.core.TensorListStack
TensorListStack.Inputs - Class in org.tensorflow.op.core
TensorListStack.Options - Class in org.tensorflow.op.core: Optional attributes for TensorListStack
tensorMapErase(Operand<? extends TType>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns a tensor map with item from given key erased.
TensorMapErase - Class in org.tensorflow.op.core: Returns a tensor map with item from given key erased.
TensorMapErase(Operation) - Constructor for class org.tensorflow.op.core.TensorMapErase
TensorMapErase.Inputs - Class in org.tensorflow.op.core
tensorMapHasKey(Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns whether the given key exists in the map.
TensorMapHasKey - Class in org.tensorflow.op.core: Returns whether the given key exists in the map.
TensorMapHasKey(Operation) - Constructor for class org.tensorflow.op.core.TensorMapHasKey
TensorMapHasKey.Inputs - Class in org.tensorflow.op.core
tensorMapInsert(Operand<? extends TType>, Operand<? extends TType>, Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert - Class in org.tensorflow.op.core: Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapInsert(Operation) - Constructor for class org.tensorflow.op.core.TensorMapInsert
TensorMapInsert.Inputs - Class in org.tensorflow.op.core
tensorMapLookup(Operand<? extends TType>, Operand<? extends TType>, Class) - Method in class org.tensorflow.op.Ops: Returns the value from a given key in a tensor map.
TensorMapLookup - Class in org.tensorflow.op.core: Returns the value from a given key in a tensor map.
TensorMapLookup(Operation) - Constructor for class org.tensorflow.op.core.TensorMapLookup
TensorMapLookup.Inputs - Class in org.tensorflow.op.core
TensorMapper<T extends TType> - Class in org.tensorflow: Maps the native memory of a RawTensor to a n-dimensional typed data space accessible from the JVM.
TensorMapper() - Constructor for class org.tensorflow.TensorMapper
tensorMapSize(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the number of tensors in the input tensor map.
TensorMapSize - Class in org.tensorflow.op.core: Returns the number of tensors in the input tensor map.
TensorMapSize(Operation) - Constructor for class org.tensorflow.op.core.TensorMapSize
TensorMapSize.Inputs - Class in org.tensorflow.op.core
tensorMapStackKeys(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns a Tensor stack of all keys in a tensor map.
TensorMapStackKeys<T extends TType> - Class in org.tensorflow.op.core: Returns a Tensor stack of all keys in a tensor map.
TensorMapStackKeys(Operation) - Constructor for class org.tensorflow.op.core.TensorMapStackKeys
TensorMapStackKeys.Inputs - Class in org.tensorflow.op.core
tensorName - Variable in class org.tensorflow.op.core.Copy.Inputs: The name of the input tensor.
tensorName - Variable in class org.tensorflow.op.core.CopyHost.Inputs: The name of the input tensor.
tensorName - Variable in class org.tensorflow.op.core.Recv.Inputs: The name of the tensor to receive.
tensorName - Variable in class org.tensorflow.op.core.Send.Inputs: The name of the tensor to send.
tensorName - Variable in class org.tensorflow.op.debugging.DebugIdentity.Inputs: Name of the input tensor.
tensorName - Variable in class org.tensorflow.op.debugging.DebugNanCount.Inputs: Name of the input tensor.
tensorName - Variable in class org.tensorflow.op.train.RestoreSlice.Inputs: Must have a single element.
tensorName(String) - Method in class org.tensorflow.op.core.Copy.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.Copy: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.core.CopyHost.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.core.CopyHost: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.debugging.DebugIdentity.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.debugging.DebugIdentity: Sets the tensorName option.
tensorName(String) - Method in class org.tensorflow.op.debugging.DebugNanCount.Options: Sets the tensorName option.
tensorName(String) - Static method in class org.tensorflow.op.debugging.DebugNanCount: Sets the tensorName option.
tensorNames - Variable in class org.tensorflow.op.tpu.DTensorRestore.Inputs: The tensorNames input
tensorNames - Variable in class org.tensorflow.op.train.Restore.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.Save.Inputs: shape {N}.
tensorNames - Variable in class org.tensorflow.op.train.SaveSlices.Inputs: Shape [N].
tensorOf(Charset, NdArray<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Charset, Shape, DataBuffer<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(NdArray<Boolean>) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor which is a copy of a given array of booleans.
tensorOf(NdArray<Byte>) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor which is a copy of a given array of bytes.
tensorOf(NdArray<Double>) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor which is a copy of a given array of doubles.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray<Float>) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor which is a copy of a given array of floats.
tensorOf(NdArray<Integer>) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor which is a copy of a given array of ints.
tensorOf(NdArray<Long>) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor which is a copy of a given array of longs.
tensorOf(NdArray<Short>) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor which is a copy of a given array of shorts.
tensorOf(NdArray<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape.
tensorOf(Shape) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape.
tensorOf(Shape, Consumer<TBfloat16>) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TBool>) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TFloat16>) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TFloat32>) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TFloat64>) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TInt32>) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TInt64>) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TUint16>) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, Consumer<TUint8>) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape and initialize its data.
tensorOf(Shape, BooleanDataBuffer) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, ByteDataBuffer) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, DataBuffer<String>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and data.
tensorOf(Shape, DoubleDataBuffer) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, FloatDataBuffer) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, IntDataBuffer) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, LongDataBuffer) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Shape, ShortDataBuffer) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor of the given shape, initialized with the provided data.
tensorOf(Scope, boolean[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of boolean elements.
tensorOf(Scope, boolean[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of boolean elements.
tensorOf(Scope, boolean[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of boolean elements.
tensorOf(Scope, boolean[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of boolean elements.
tensorOf(Scope, boolean[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of boolean elements.
tensorOf(Scope, byte[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of byte elements.
tensorOf(Scope, byte[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of byte elements.
tensorOf(Scope, byte[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of byte elements.
tensorOf(Scope, byte[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of byte elements.
tensorOf(Scope, byte[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of byte elements.
tensorOf(Scope, double[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of double elements.
tensorOf(Scope, double[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of double elements.
tensorOf(Scope, double[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of double elements.
tensorOf(Scope, double[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of double elements.
tensorOf(Scope, double[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of double elements.
tensorOf(Scope, float[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of float elements.
tensorOf(Scope, float[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of float elements.
tensorOf(Scope, float[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of float elements.
tensorOf(Scope, float[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of float elements.
tensorOf(Scope, float[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of float elements.
tensorOf(Scope, int[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of int elements.
tensorOf(Scope, int[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of int elements.
tensorOf(Scope, int[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of int elements.
tensorOf(Scope, int[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of int elements.
tensorOf(Scope, int[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of int elements.
tensorOf(Scope, long[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of long elements.
tensorOf(Scope, long[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of long elements.
tensorOf(Scope, long[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of long elements.
tensorOf(Scope, long[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of long elements.
tensorOf(Scope, long[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of long elements.
tensorOf(Scope, Class<T>, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of type, with the value of number.
tensorOf(Scope, Class<T>, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a constant with data from the given buffer.
tensorOf(Scope, String[][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-2 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-3 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-4 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-5 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, String[][][][][][]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-6 constant of String elements, using default UTF-8 encoding.
tensorOf(Scope, Charset, NdArray<String>) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
tensorOf(Scope, Charset, Shape, DataBuffer<String>) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the given encoding.
tensorOf(Scope, BooleanNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of boolean elements that is a copy of a given n-dimensional array.
tensorOf(Scope, ByteNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of byte elements that is a copy of a given n-dimensional array.
tensorOf(Scope, DoubleNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of double elements that is a copy of a given n-dimensional array.
tensorOf(Scope, FloatNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of float elements that is a copy of a given n-dimensional array.
tensorOf(Scope, IntNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of int elements that is a copy of a given n-dimensional array.
tensorOf(Scope, LongNdArray) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of long elements that is a copy of a given n-dimensional array.
tensorOf(Scope, NdArray<String>) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.
tensorOf(Scope, Shape) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements representing the size of each dimensions of the given shape.
tensorOf(Scope, Shape, BooleanDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TBool constant with data from the given buffer.
tensorOf(Scope, Shape, ByteDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TUint8 constant with data from the given buffer.
tensorOf(Scope, Shape, DataBuffer<String>) - Static method in class org.tensorflow.op.core.Constant: Create a TString constant with data from the given buffer, using the default UTF-8 encoding.
tensorOf(Scope, Shape, DoubleDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat64 constant with data from the given buffer.
tensorOf(Scope, Shape, FloatDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TFloat32 constant with data from the given buffer.
tensorOf(Scope, Shape, IntDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt32 constant with data from the given buffer.
tensorOf(Scope, Shape, LongDataBuffer) - Static method in class org.tensorflow.op.core.Constant: Create a TInt64 constant with data from the given buffer.
tensorOfBytes(NdArray<byte[]>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor which is a copy of a given array of raw bytes.
tensorOfBytes(Shape, DataBuffer<byte[]>) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor with the given shape and raw bytes.
tensorOfSameType(Scope, Operand<T>, Number) - Static method in class org.tensorflow.op.core.Constant: Creates a scalar of the same type as toMatch, with the value of number.
tensors - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The tensors input
tensors - Variable in class org.tensorflow.op.train.Save.Inputs: N tensors to save.
tensors() - Method in class org.tensorflow.op.tpu.DTensorRestore: Gets tensors.
tensors() - Method in class org.tensorflow.op.train.Restore: Gets tensors.
tensorScatterNdAdd(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd<T extends TType> - Class in org.tensorflow.op.core: Adds sparse updates to an existing tensor according to indices.
TensorScatterNdAdd(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdAdd
TensorScatterNdAdd.Inputs<T extends TType> - Class in org.tensorflow.op.core
tensorScatterNdMax(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Apply a sparse update to a tensor taking the element-wise maximum.
TensorScatterNdMax<T extends TType> - Class in org.tensorflow.op.core: Apply a sparse update to a tensor taking the element-wise maximum.
TensorScatterNdMax(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMax
TensorScatterNdMax.Inputs<T extends TType> - Class in org.tensorflow.op.core
tensorScatterNdMin(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: The TensorScatterMin operation
TensorScatterNdMin<T extends TType> - Class in org.tensorflow.op.core: The TensorScatterMin operation
TensorScatterNdMin(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdMin
TensorScatterNdMin.Inputs<T extends TType> - Class in org.tensorflow.op.core
tensorScatterNdSub(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub<T extends TType> - Class in org.tensorflow.op.core: Subtracts sparse updates from an existing tensor according to indices.
TensorScatterNdSub(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdSub
TensorScatterNdSub.Inputs<T extends TType> - Class in org.tensorflow.op.core
tensorScatterNdUpdate(Operand<T>, Operand<? extends TNumber>, Operand<T>) - Method in class org.tensorflow.op.Ops: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate<T extends TType> - Class in org.tensorflow.op.core: Scatter updates into an existing tensor according to indices.
TensorScatterNdUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorScatterNdUpdate
TensorScatterNdUpdate.Inputs<T extends TType> - Class in org.tensorflow.op.core
tensorSliceDataset(Iterable<Operand<?>>, List<Shape>, TensorSliceDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset - Class in org.tensorflow.op.data: Creates a dataset that emits each dim-0 slice of components once.
TensorSliceDataset(Operation) - Constructor for class org.tensorflow.op.data.TensorSliceDataset
TensorSliceDataset.Inputs - Class in org.tensorflow.op.data
TensorSliceDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TensorSliceDataset
tensorStridedSliceUpdate(Operand<T>, Operand, Operand, Operand, Operand<T>, TensorStridedSliceUpdate.Options...) - Method in class org.tensorflow.op.Ops: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate<T extends TType> - Class in org.tensorflow.op.core: Assign value to the sliced l-value reference of input.
TensorStridedSliceUpdate(Operation) - Constructor for class org.tensorflow.op.core.TensorStridedSliceUpdate
TensorStridedSliceUpdate.Inputs<T extends TType,U extends TNumber> - Class in org.tensorflow.op.core
TensorStridedSliceUpdate.Options - Class in org.tensorflow.op.core: Optional attributes for TensorStridedSliceUpdate
tensorSummary(Operand<TString>, Operand<? extends TType>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary - Class in org.tensorflow.op.summary: Outputs a Summary protocol buffer with a tensor and per-plugin data.
TensorSummary(Operation) - Constructor for class org.tensorflow.op.summary.TensorSummary
TensorSummary.Inputs - Class in org.tensorflow.op.summary
tensorType - Variable in class org.tensorflow.op.core.Recv.Inputs: The tensorType attribute
TensorType - Annotation Type in org.tensorflow.types.annotation: Annotation for all tensor types.
textLineDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, TextLineDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the lines of one or more text files.
TextLineDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the lines of one or more text files.
TextLineDataset(Operation) - Constructor for class org.tensorflow.op.data.TextLineDataset
TextLineDataset.Inputs - Class in org.tensorflow.op.data
TextLineDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TextLineDataset
textLineReader(TextLineReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader - Class in org.tensorflow.op.io: A Reader that outputs the lines of a file delimited by '\n'.
TextLineReader(Operation) - Constructor for class org.tensorflow.op.io.TextLineReader
TextLineReader.Inputs - Class in org.tensorflow.op.io
TextLineReader.Options - Class in org.tensorflow.op.io: Optional attributes for TextLineReader
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of filter tensor that needs to be converted.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tfilter attribute
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the filter.
Tfilter - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the filter.
TfinalizeFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TfinalizeFuncArgs attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TfinalizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TfinalizeFuncOtherArguments attribute
TFloat16 - Interface in org.tensorflow.types: IEEE-754 half-precision 16-bit float tensor type.
TFloat32 - Interface in org.tensorflow.types: IEEE-754 single-precision 32-bit float tensor type.
TFloat64 - Interface in org.tensorflow.types: IEEE-754 double-precision 64-bit float tensor type.
TFloating - Interface in org.tensorflow.types.family: Common interface for all floating point tensors.
tfRecordDataset(Operand<TString>, Operand<TString>, Operand<TInt64>, Operand<TInt64>, TfRecordDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset - Class in org.tensorflow.op.data: Creates a dataset that emits the records from one or more TFRecord files.
TfRecordDataset(Operation) - Constructor for class org.tensorflow.op.data.TfRecordDataset
TfRecordDataset.Inputs - Class in org.tensorflow.op.data
TfRecordDataset.Options - Class in org.tensorflow.op.data: Optional attributes for TfRecordDataset
tfRecordReader(TfRecordReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader - Class in org.tensorflow.op.io: A Reader that outputs the records from a TensorFlow Records file.
TfRecordReader(Operation) - Constructor for class org.tensorflow.op.io.TfRecordReader
TfRecordReader.Inputs - Class in org.tensorflow.op.io
TfRecordReader.Options - Class in org.tensorflow.op.io: Optional attributes for TfRecordReader
TguaranteedConstants - Variable in class org.tensorflow.op.tpu.Compile.Inputs: The TguaranteedConstants attribute
threadPool - Variable in class org.tensorflow.op.data.experimental.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
threadPool - Variable in class org.tensorflow.op.data.ThreadPoolDataset.Inputs: A resource produced by the ThreadPoolHandle op.
threadPoolDataset(Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
threadPoolDataset(Operand<? extends TType>, Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolDataset
ThreadPoolDataset(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolDataset
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolDataset.Inputs - Class in org.tensorflow.op.data
threadPoolHandle(Long, String, ThreadPoolHandle.Options...) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
threadPoolHandle(Long, String, ThreadPoolHandle.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle - Class in org.tensorflow.op.data.experimental: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle - Class in org.tensorflow.op.data: Creates a dataset that uses a custom thread pool to compute input_dataset.
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.experimental.ThreadPoolHandle
ThreadPoolHandle(Operation) - Constructor for class org.tensorflow.op.data.ThreadPoolHandle
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data.experimental
ThreadPoolHandle.Inputs - Class in org.tensorflow.op.data
ThreadPoolHandle.Options - Class in org.tensorflow.op.data.experimental: Optional attributes for ThreadPoolHandle
ThreadPoolHandle.Options - Class in org.tensorflow.op.data: Optional attributes for ThreadPoolHandle
threadUnsafeUnigramCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, ThreadUnsafeUnigramCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a learned unigram distribution.
ThreadUnsafeUnigramCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a learned unigram distribution.
ThreadUnsafeUnigramCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler
ThreadUnsafeUnigramCandidateSampler.Inputs - Class in org.tensorflow.op.random
ThreadUnsafeUnigramCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for ThreadUnsafeUnigramCandidateSampler
thresh - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: 0-D.
TI - Variable in class org.tensorflow.op.core.OneHot.Inputs: The TI attribute
Tidx - Variable in class org.tensorflow.op.core.All.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Any.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BatchToSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.BroadcastTo.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Concat.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.LinSpace.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Max.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Min.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Prod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Range.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAll.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceAny.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceProd.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.ReduceSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Reverse.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.Sum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.core.UnravelIndex.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.linalg.EuclideanNorm.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMax.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.ArgMin.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumprod.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Cumsum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.math.Mean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tidx attribute
Tidx - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tidx attribute
tile(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Constructs a tensor by tiling a given tensor.
Tile<T extends TType> - Class in org.tensorflow.op.core: Constructs a tensor by tiling a given tensor.
Tile(Operation) - Constructor for class org.tensorflow.op.core.Tile
Tile.Inputs<T extends TType> - Class in org.tensorflow.op.core
tileGrad(Operand<T>, Operand<TInt32>) - Method in class org.tensorflow.op.TrainOps: Returns the gradient of Tile.
TileGrad<T extends TType> - Class in org.tensorflow.op.train: Returns the gradient of Tile.
TileGrad(Operation) - Constructor for class org.tensorflow.op.train.TileGrad
TileGrad.Inputs<T extends TType> - Class in org.tensorflow.op.train
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNN.Inputs: The timeMajor attribute
timeMajor - Variable in class org.tensorflow.op.nn.CudnnRNNBackprop.Inputs: The timeMajor attribute
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNN.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNN: Sets the timeMajor option.
timeMajor(Boolean) - Method in class org.tensorflow.op.nn.CudnnRNNBackprop.Options: Sets the timeMajor option.
timeMajor(Boolean) - Static method in class org.tensorflow.op.nn.CudnnRNNBackprop: Sets the timeMajor option.
timeoutMicros - Variable in class org.tensorflow.op.core.Unbatch.Inputs: The timeoutMicros attribute
timeoutMs - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeue.Inputs: If the queue is empty, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueMany.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueDequeueUpTo.Inputs: If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueue.Inputs: If the queue is full, this operation will block for up to timeout_ms milliseconds.
timeoutMs - Variable in class org.tensorflow.op.io.QueueEnqueueMany.Inputs: If the queue is too full, this operation will block for up to timeout_ms milliseconds.
timeoutMs(Long) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeue: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueMany: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueDequeueUpTo.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueDequeueUpTo: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueue.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueue: Sets the timeoutMs option.
timeoutMs(Long) - Method in class org.tensorflow.op.io.QueueEnqueueMany.Options: Sets the timeoutMs option.
timeoutMs(Long) - Static method in class org.tensorflow.op.io.QueueEnqueueMany: Sets the timeoutMs option.
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveAllToAll.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveBcastSend.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveGather.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveReduce.Inputs: The timeoutSeconds attribute
timeoutSeconds - Variable in class org.tensorflow.op.collective.CollectiveReduceScatter.Inputs: The timeoutSeconds attribute
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveAllToAll.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveAllToAll: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastRecv.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastRecv: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveBcastSend.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveBcastSend: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveGather.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveGather: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveInitializeCommunicator: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveReduce.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveReduce: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Method in class org.tensorflow.op.collective.CollectiveReduceScatter.Options: Sets the timeoutSeconds option.
timeoutSeconds(Float) - Static method in class org.tensorflow.op.collective.CollectiveReduceScatter: Sets the timeoutSeconds option.
timestamp() - Method in class org.tensorflow.op.Ops: Provides the time since epoch in seconds.
Timestamp - Class in org.tensorflow.op.core: Provides the time since epoch in seconds.
Timestamp(Operation) - Constructor for class org.tensorflow.op.core.Timestamp
Timestamp.Inputs - Class in org.tensorflow.op.core
Tin - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of tensors to be batched.
Tin - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.LookupTableRemove.Inputs: The Tin attribute
Tin - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the arguments.
Tin - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of input types.
Tin - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The type of the input.
Tin - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The type of lhs and rhs input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The type of lhs and rhs input Tensor.
Tin - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The type of input Tensor.
Tin - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the arguments to the function.
Tin - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Tindex - Variable in class org.tensorflow.op.linalg.BandPart.Inputs: The Tindex attribute
Tindex - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tindex attribute
Tindices - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceGatherNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMean.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseAdd.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseTensorDenseMatMul.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: The Tindices attribute
Tindices - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: The Tindices attribute
TinitFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TinitFuncArgs attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
TinitFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TinitFuncOtherArguments attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2d.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DPerChannel.Inputs: The quantized type of input tensor that needs to be converted.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBias.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2D.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBias.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndRelu.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedRelu6.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.nn.QuantizedReluX.Inputs: The Tinput attribute
Tinput - Variable in class org.tensorflow.op.quantization.QuantizeDownAndShrinkRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.RequantizationRange.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.quantization.Requantize.Inputs: The type of the input.
Tinput - Variable in class org.tensorflow.op.xla.XlaSendToHost.Inputs: The Tinput attribute
TInput - Variable in class org.tensorflow.op.nn.MaxPool3dGrad.Inputs: The TInput attribute
Tinputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.data.WindowOp.Inputs: The Tinputs attribute
Tinputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in inputs.
TinputTypes - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: The input types.
TinputTypes - Variable in class org.tensorflow.op.data.ListDataset.Inputs: The TinputTypes attribute
TInt32 - Interface in org.tensorflow.types: 32-bit signed integer tensor type.
TInt64 - Interface in org.tensorflow.types: 64-bit signed integer tensor type.
TIntegral - Interface in org.tensorflow.types.family: Common interface for all integral numeric tensors.
Tk - Variable in class org.tensorflow.op.nn.TopK.Inputs: The Tk attribute
Tkey - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tkey attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TkeyFuncOtherArguments attribute
TkeyFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TkeyFuncOtherArguments attribute
Tkeys - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tkeys attribute
Tlabels - Variable in class org.tensorflow.op.nn.SparseSoftmaxCrossEntropyWithLogits.Inputs: The Tlabels attribute
Tlen - Variable in class org.tensorflow.op.core.ReverseSequence.Inputs: The Tlen attribute
Tlen - Variable in class org.tensorflow.op.core.SplitV.Inputs: The Tlen attribute
Tlhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of lhs input Tensor.
Tlhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of lhs input Tensor.
tMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized input.
tMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized input.
Tmultiples - Variable in class org.tensorflow.op.core.Tile.Inputs: The Tmultiples attribute
TnextFuncArgs - Variable in class org.tensorflow.op.data.GeneratorDataset.Inputs: The TnextFuncArgs attribute
TNumber - Interface in org.tensorflow.types.family: Common interface for all numeric tensors.
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentMax.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentMin.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentProd.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.SegmentSum.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMax.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentMin.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentProd.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.math.UnsortedSegmentSum.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tnumsegments attribute
Tnumsegments - Variable in class org.tensorflow.op.strings.UnsortedSegmentJoin.Inputs: The Tnumsegments attribute
toBool(Operand<? extends TType>) - Method in class org.tensorflow.op.DtypesOps: Converts a tensor to a scalar predicate.
ToBool - Class in org.tensorflow.op.dtypes: Converts a tensor to a scalar predicate.
ToBool(Operation) - Constructor for class org.tensorflow.op.dtypes.ToBool
ToBool.Inputs - Class in org.tensorflow.op.dtypes
toDataType(Class<? extends T>) - Static method in class org.tensorflow.op.Operands: Converts a tensor type class to a DataType attribute.
toDataTypes(Collection<Class<? extends T>>) - Static method in class org.tensorflow.op.Operands: Converts a list of tensor type classes to an array of DataType attributes.
toGraphDef() - Method in class org.tensorflow.Graph: Generate a representation of the Graph.
toHashBucket(Operand<TString>, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucket(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucket
ToHashBucket.Inputs - Class in org.tensorflow.op.strings
toHashBucketFast(Operand<TString>, Long) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketFast(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketFast
ToHashBucketFast.Inputs - Class in org.tensorflow.op.strings
toHashBucketStrong(Operand<TString>, Long, List<Long>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to its hash mod by a number of buckets.
ToHashBucketStrong(Operation) - Constructor for class org.tensorflow.op.strings.ToHashBucketStrong
ToHashBucketStrong.Inputs - Class in org.tensorflow.op.strings
tolerance - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The tolerance attribute
tolerance(Float) - Method in class org.tensorflow.op.math.ApproximateEqual.Options: Sets the tolerance option.
tolerance(Float) - Static method in class org.tensorflow.op.math.ApproximateEqual: Sets the tolerance option.
toNumber(Operand<TString>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
toNumber(Operand<TString>, Class<T>) - Method in class org.tensorflow.op.StringsOps: Converts each string in the input Tensor to the specified numeric type.
ToNumber<T extends TNumber> - Class in org.tensorflow.op.strings: Converts each string in the input Tensor to the specified numeric type.
ToNumber(Operation) - Constructor for class org.tensorflow.op.strings.ToNumber
ToNumber.Inputs - Class in org.tensorflow.op.strings
topk() - Method in class org.tensorflow.op.core.TopKUnique: Gets topk.
topk() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topk.
topK(Operand<T>, Operand<? extends TNumber>, Class<V>, TopK.Options...) - Method in class org.tensorflow.op.NnOps: Finds values and indices of the k largest elements for the last dimension.
topK(Operand<T>, Operand<? extends TNumber>, TopK.Options[]) - Method in class org.tensorflow.op.NnOps: Finds values and indices of the k largest elements for the last dimension.
TopK<T extends TNumber,V extends TNumber> - Class in org.tensorflow.op.nn: Finds values and indices of the k largest elements for the last dimension.
TopK(Operation) - Constructor for class org.tensorflow.op.nn.TopK
TopK.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
TopK.Options - Class in org.tensorflow.op.nn: Optional attributes for TopK
topkIndices() - Method in class org.tensorflow.op.core.TopKUnique: Gets topkIndices.
topkIndices() - Method in class org.tensorflow.op.core.TopKWithUnique: Gets topkIndices.
topKUnique(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK unique values in the array in sorted order.
TopKUnique - Class in org.tensorflow.op.core: Returns the TopK unique values in the array in sorted order.
TopKUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKUnique
TopKUnique.Inputs - Class in org.tensorflow.op.core
topKWithUnique(Operand<TFloat32>, Long) - Method in class org.tensorflow.op.Ops: Returns the TopK values in the array in sorted order.
TopKWithUnique - Class in org.tensorflow.op.core: Returns the TopK values in the array in sorted order.
TopKWithUnique(Operation) - Constructor for class org.tensorflow.op.core.TopKWithUnique
TopKWithUnique.Inputs - Class in org.tensorflow.op.core
topology - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: TopologyProto indicating the topology of the TPU pod slice.
topology - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

TopologyProto indicating the topology of the TPU pod slice.
topology() - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Gets topology.
topology(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the topology option.
topology(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the topology option.
topology(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the topology option.
toString() - Method in class org.tensorflow.GraphOperation
toString() - Method in class org.tensorflow.ConcreteFunction
toString() - Method in class org.tensorflow.DeviceSpec
toString() - Method in class org.tensorflow.op.RawOp
toString() - Method in class org.tensorflow.op.RawOpInputs
toString() - Method in class org.tensorflow.Output
toString() - Method in class org.tensorflow.RawTensor: Returns a string describing the type and shape of the tensor.
toString() - Method in class org.tensorflow.Signature
totalSize - Variable in class org.tensorflow.op.AttributeMetadata: The total size of this attribute.
totalWordsProcessed() - Method in class org.tensorflow.op.core.Skipgram: Gets totalWordsProcessed.
Tout - Variable in class org.tensorflow.op.core.BatchFunction.Inputs: the types of the output tensors.
Tout - Variable in class org.tensorflow.op.core.LookupTableFind.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.core.PartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.RemoteCall.Inputs: The type list for the return values.
Tout - Variable in class org.tensorflow.op.core.StatefulCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatefulPartitionedCall.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessCase.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StatelessIf.Inputs: A list of output types.
Tout - Variable in class org.tensorflow.op.core.StochasticCastToInt.Inputs: The type of the output.
Tout - Variable in class org.tensorflow.op.dtypes.Complex.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.linalg.Eig.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Angle.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Imag.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.math.Real.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantizedDot.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.quantization.UniformRequantize.Inputs: The type of output Tensor.
Tout - Variable in class org.tensorflow.op.random.RandomUniformInt.Inputs: The Tout attribute
Tout - Variable in class org.tensorflow.op.tpu.PartitionedCall.Inputs: The types of the outputs of the function.
Tout - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: If not spcified, Tout is the same type to input type.
Tout - Variable in class org.tensorflow.op.train.SymbolicGradient.Inputs: the type list for the input list.
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The Toutput attribute
Toutput - Variable in class org.tensorflow.op.xla.XlaRecvFromHost.Inputs: The Toutput attribute
Toutputs - Variable in class org.tensorflow.op.core.MlirPassthroughOp.Inputs: The Toutputs attribute
Toutputs - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: The element types of each element in outputs.
ToutputTypes - Variable in class org.tensorflow.op.data.OptionalFromValue.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.PaddedBatchDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorDataset.Inputs: The ToutputTypes attribute
ToutputTypes - Variable in class org.tensorflow.op.data.TensorSliceDataset.Inputs: The ToutputTypes attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.MirrorPadGrad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.Pad.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.core.SpaceToBatchNd.Inputs: The Tpaddings attribute
Tpaddings - Variable in class org.tensorflow.op.nn.SpaceToBatch.Inputs: The Tpaddings attribute
Tparams - Variable in class org.tensorflow.op.core.Gather.Inputs: The Tparams attribute
Tparams - Variable in class org.tensorflow.op.core.GatherNd.Inputs: The Tparams attribute
Tperm - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The Tperm attribute
Tperm - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The Tperm attribute
tpu - Variable in class org.tensorflow.op.Ops
TPU - Enum constant in enum org.tensorflow.DeviceSpec.DeviceType
tPUAnnotateTensorsWithDynamicShape(Iterable<Operand<?>>) - Method in class org.tensorflow.op.TpuOps: The TPUAnnotateTensorsWithDynamicShape operation
TPUAnnotateTensorsWithDynamicShape - Class in org.tensorflow.op.tpu: The TPUAnnotateTensorsWithDynamicShape operation
TPUAnnotateTensorsWithDynamicShape(Operation) - Constructor for class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape
TPUAnnotateTensorsWithDynamicShape.Inputs - Class in org.tensorflow.op.tpu
tpuCancellationClosesChips - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: The tpuCancellationClosesChips attribute
tpuCancellationClosesChips(Long) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuCancellationClosesChips option.
tpuCancellationClosesChips(Long) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuCancellationClosesChips option.
tPUCompilationResult() - Method in class org.tensorflow.op.TpuOps: Deprecated.
use CompilationResult instead
TPUCompilationResult - Class in org.tensorflow.op.tpu: Deprecated.
use CompilationResult instead
TPUCompilationResult(Operation) - Constructor for class org.tensorflow.op.tpu.TPUCompilationResult: Deprecated.
TPUCompilationResult.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuCompileOptionsProto - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The tpuCompileOptionsProto attribute
tpuCompileOptionsProto - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The tpuCompileOptionsProto attribute
tpuCompileOptionsProto(String) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the tpuCompileOptionsProto option.
tpuCompileOptionsProto(String) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the tpuCompileOptionsProto option.
tPUCopyWithDynamicShape(Iterable<Operand<?>>, Iterable<Operand<TInt32>>) - Method in class org.tensorflow.op.TpuOps: Op that copies host tensor to device with dynamic shape support.
TPUCopyWithDynamicShape - Class in org.tensorflow.op.tpu: Op that copies host tensor to device with dynamic shape support.
TPUCopyWithDynamicShape(Operation) - Constructor for class org.tensorflow.op.tpu.TPUCopyWithDynamicShape
TPUCopyWithDynamicShape.Inputs - Class in org.tensorflow.op.tpu
tpuCore - Variable in class org.tensorflow.op.xla.XlaHostCompute.Inputs: Default core to use for host to device transfers.
tpuCore(Long) - Method in class org.tensorflow.op.xla.XlaHostCompute.Options: Sets the tpuCore option.
tpuCore(Long) - Static method in class org.tensorflow.op.xla.XlaHostCompute: Sets the tpuCore option.
tPUEmbeddingActivations(Operand<TFloat32>, Operand<TFloat32>, Long, Long) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use EmbeddingActivations instead
TPUEmbeddingActivations - Class in org.tensorflow.op.tpu: Deprecated.
use EmbeddingActivations instead
TPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.tpu.TPUEmbeddingActivations: Deprecated.
TPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
tpuEmbeddingConfig - Variable in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Inputs: Serialized tensorflow.tpu.TPUEmbeddingConfiguration that describes the embedding lookups of the program.
tpuEmbeddingConfig(String) - Method in class org.tensorflow.op.tpu.ConfigureDistributedTPU.Options: Sets the tpuEmbeddingConfig option.
tpuEmbeddingConfig(String) - Static method in class org.tensorflow.op.tpu.ConfigureDistributedTPU: Sets the tpuEmbeddingConfig option.
tpuHandleToProtoKey(Operand<TInt64>) - Method in class org.tensorflow.op.TpuOps: Converts XRT's uid handles to TensorFlow-friendly input format.
TpuHandleToProtoKey - Class in org.tensorflow.op.tpu: Converts XRT's uid handles to TensorFlow-friendly input format.
TpuHandleToProtoKey(Operation) - Constructor for class org.tensorflow.op.tpu.TpuHandleToProtoKey
TpuHandleToProtoKey.Inputs - Class in org.tensorflow.op.tpu
TpuOps - Class in org.tensorflow.op: An API for building tpu operations as Ops
tPUReplicatedInput(Iterable<Operand<T>>, TPUReplicatedInput.Options...) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicatedInput instead
TPUReplicatedInput<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedInput instead
TPUReplicatedInput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedInput: Deprecated.
TPUReplicatedInput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicatedInput.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicatedInput
tPUReplicatedOutput(Operand<T>, Long) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicatedOutput instead
TPUReplicatedOutput<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicatedOutput instead
TPUReplicatedOutput(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicatedOutput: Deprecated.
TPUReplicatedOutput.Inputs<T extends TType> - Class in org.tensorflow.op.tpu: Deprecated.
tPUReplicateMetadata(Long, TPUReplicateMetadata.Options...) - Method in class org.tensorflow.op.TpuOps: Deprecated.
use ReplicateMetadata instead
TPUReplicateMetadata - Class in org.tensorflow.op.tpu: Deprecated.
use ReplicateMetadata instead
TPUReplicateMetadata(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.
TPUReplicateMetadata.Inputs - Class in org.tensorflow.op.tpu: Deprecated.
TPUReplicateMetadata.Options - Class in org.tensorflow.op.tpu: Deprecated.

Optional attributes for TPUReplicateMetadata
tPUReshardVariables(Iterable<Operand<? extends TType>>, Operand<TString>, Operand<? extends TType>) - Method in class org.tensorflow.op.TpuOps: Op that reshards on-device TPU variables to specified state.
TPUReshardVariables - Class in org.tensorflow.op.tpu: Op that reshards on-device TPU variables to specified state.
TPUReshardVariables(Operation) - Constructor for class org.tensorflow.op.tpu.TPUReshardVariables
TPUReshardVariables.Inputs - Class in org.tensorflow.op.tpu
tPURoundRobin() - Method in class org.tensorflow.op.TpuOps: Round-robin load balancing on TPU cores.
TPURoundRobin - Class in org.tensorflow.op.tpu: Round-robin load balancing on TPU cores.
TPURoundRobin(Operation) - Constructor for class org.tensorflow.op.tpu.TPURoundRobin
TPURoundRobin.Inputs - Class in org.tensorflow.op.tpu
tpuTensors() - Method in class org.tensorflow.op.tpu.TPUAnnotateTensorsWithDynamicShape: Gets tpuTensors.
tpuTensors() - Method in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape: Gets tpuTensors.
train - Variable in class org.tensorflow.op.Ops
TrainOps - Class in org.tensorflow.op: An API for building train operations as Ops
transformations - Variable in class org.tensorflow.op.data.AssertNextDataset.Inputs: A tf.string vector tf.Tensor identifying the transformations that are expected to happen next.
transformations - Variable in class org.tensorflow.op.data.AssertPrevDataset.Inputs: A tf.string vector tf.Tensor identifying the transformations, with optional attribute name-value pairs, that are expected to have happened previously.
transformations - Variable in class org.tensorflow.op.data.experimental.AssertNextDataset.Inputs: The transformations input
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV2: Gets transformedImages.
transformedImages() - Method in class org.tensorflow.op.image.ImageProjectiveTransformV3: Gets transformedImages.
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV2.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
transforms - Variable in class org.tensorflow.op.image.ImageProjectiveTransformV3.Inputs: 2-D Tensor, [batch, 8] or [1, 8] matrix, where each row corresponds to a 3 x 3 projective transformation matrix, with the last entry assumed to be 1.
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslate.Inputs: The translation input
translation - Variable in class org.tensorflow.op.image.ScaleAndTranslateGrad.Inputs: The translation input
transpose(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.LinalgOps: Shuffle dimensions of x according to a permutation.
Transpose<T extends TType> - Class in org.tensorflow.op.linalg: Shuffle dimensions of x according to a permutation.
Transpose(Operation) - Constructor for class org.tensorflow.op.linalg.Transpose
Transpose.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
transposeA - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "a" is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, a is transposed before multiplication.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether a should be transposed.
transposeA - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether a should be transposed.
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeA attribute
transposeA - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeA attribute
transposeA - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeA attribute
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeA option.
transposeA(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeA option.
transposeA(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeA option.
transposeB - Variable in class org.tensorflow.op.linalg.MatMul.Inputs: If true, "b" is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMul.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Inputs: If true, b is transposed before multiplication.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Indicates whether b should be transposed.
transposeB - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: Indicates whether b should be transposed.
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Inputs: The transposeB attribute
transposeB - Variable in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Inputs: The transposeB attribute
transposeB - Variable in class org.tensorflow.op.sparse.SparseMatMul.Inputs: The transposeB attribute
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.MatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.MatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBias: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndRelu: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.QuantizedMatMulWithBiasAndReluAndRequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndDequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.quantization.QuantizedMatMulWithBiasAndRequantize: Sets the transposeB option.
transposeB(Boolean) - Method in class org.tensorflow.op.sparse.SparseMatMul.Options: Sets the transposeB option.
transposeB(Boolean) - Static method in class org.tensorflow.op.sparse.SparseMatMul: Sets the transposeB option.
transposeOutput - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Inputs: Transposes the product of a and b.
transposeOutput(Boolean) - Method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul.Options: Sets the transposeOutput option.
transposeOutput(Boolean) - Static method in class org.tensorflow.op.linalg.sparse.SparseMatrixMatMul: Sets the transposeOutput option.
TreaderFuncArgs - Variable in class org.tensorflow.op.data.LoadDataset.Inputs: The TreaderFuncArgs attribute
TreaderFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TreaderFuncArgs attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Irfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.IrfftNd.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft2d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.Rfft3d.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.signal.RfftNd.Inputs: The Treal attribute
Treal - Variable in class org.tensorflow.op.sparse.SparseAdd.Inputs: The Treal attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByReducerDataset.Inputs: The TreduceFuncOtherArguments attribute
TreduceFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TreduceFuncOtherArguments attribute
Tresults - Variable in class org.tensorflow.op.tpu.Execute.Inputs: The Tresults attribute
Tresults - Variable in class org.tensorflow.op.tpu.ExecuteAndUpdateVariables.Inputs: The Tresults attribute
Trhs - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The type of rhs (quantized) input Tensor.
Trhs - Variable in class org.tensorflow.op.quantization.UniformQuantizedDotHybrid.Inputs: The type of rhs (quantized) input Tensor.
triangularSolve(Operand<T>, Operand<T>, TriangularSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve<T extends TType> - Class in org.tensorflow.op.linalg: Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
TriangularSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TriangularSolve
TriangularSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TriangularSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TriangularSolve
tridiagonalMatMul(Operand<T>, Operand<T>, Operand<T>, Operand<T>) - Method in class org.tensorflow.op.LinalgOps: Calculate product with tridiagonal matrix.
TridiagonalMatMul<T extends TType> - Class in org.tensorflow.op.linalg: Calculate product with tridiagonal matrix.
TridiagonalMatMul(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalMatMul
TridiagonalMatMul.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
tridiagonalSolve(Operand<T>, Operand<T>, TridiagonalSolve.Options...) - Method in class org.tensorflow.op.LinalgOps: Solves tridiagonal systems of equations.
TridiagonalSolve<T extends TType> - Class in org.tensorflow.op.linalg: Solves tridiagonal systems of equations.
TridiagonalSolve(Operation) - Constructor for class org.tensorflow.op.linalg.TridiagonalSolve
TridiagonalSolve.Inputs<T extends TType> - Class in org.tensorflow.op.linalg
TridiagonalSolve.Options - Class in org.tensorflow.op.linalg: Optional attributes for TridiagonalSolve
trueClasses - Variable in class org.tensorflow.op.nn.ComputeAccidentalHits.Inputs: The true_classes output of UnpackSparseLabels.
trueClasses - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueClasses - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: A batch_size * num_true matrix, in which each row contains the IDs of the num_true target_classes in the corresponding original label.
trueExpectedCount() - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.AllCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.LogUniformCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler: Gets trueExpectedCount.
trueExpectedCount() - Method in class org.tensorflow.op.random.UniformCandidateSampler: Gets trueExpectedCount.
Truncate - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The Truncate attribute
Truncate(Boolean) - Method in class org.tensorflow.op.dtypes.Cast.Options: Sets the Truncate option.
Truncate(Boolean) - Static method in class org.tensorflow.op.dtypes.Cast: Sets the Truncate option.
truncateDiv(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns x / y element-wise, rounded towards zero.
TruncateDiv<T extends TType> - Class in org.tensorflow.op.math: Returns x / y element-wise, rounded towards zero.
TruncateDiv(Operation) - Constructor for class org.tensorflow.op.math.TruncateDiv
TruncateDiv.Inputs<T extends TType> - Class in org.tensorflow.op.math
truncatedNormal(Operand<? extends TNumber>, Class, TruncatedNormal.Options...) - Method in class org.tensorflow.op.RandomOps: Outputs random values from a truncated normal distribution.
TruncatedNormal - Class in org.tensorflow.op.random: Outputs random values from a truncated normal distribution.
TruncatedNormal(Operation) - Constructor for class org.tensorflow.op.random.TruncatedNormal
TruncatedNormal.Inputs - Class in org.tensorflow.op.random
TruncatedNormal.Options - Class in org.tensorflow.op.random: Optional attributes for TruncatedNormal
truncateMod(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns element-wise remainder of division.
TruncateMod<T extends TNumber> - Class in org.tensorflow.op.math: Returns element-wise remainder of division.
TruncateMod(Operation) - Constructor for class org.tensorflow.op.math.TruncateMod
TruncateMod.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
truthIndices - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The indices of the truth list SparseTensor.
truthShape - Variable in class org.tensorflow.op.core.EditDistance.Inputs: truth indices, vector.
truthValues - Variable in class org.tensorflow.op.core.EditDistance.Inputs: The values of the truth list SparseTensor.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeAndCropJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated - Variable in class org.tensorflow.op.image.DecodeJpeg.Inputs: If true try to recover an image from truncated input.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeAndCropJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeAndCropJpeg: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Method in class org.tensorflow.op.image.DecodeJpeg.Options: Sets the tryRecoverTruncated option.
tryRecoverTruncated(Boolean) - Static method in class org.tensorflow.op.image.DecodeJpeg: Sets the tryRecoverTruncated option.
ts() - Method in class org.tensorflow.op.core.Timestamp: Gets ts.
Tseed - Variable in class org.tensorflow.op.core.RandomIndexShuffle.Inputs: The type of seed.
Tseed - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessMultinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessParameterizedTruncatedNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomBinomial.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounter.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomGetKeyCounterAlg.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomNormal.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomPoisson.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniform.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessRandomUniformInt.Inputs: The Tseed attribute
Tseed - Variable in class org.tensorflow.op.random.StatelessTruncatedNormal.Inputs: The Tseed attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMean.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentMeanWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtN.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSum.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumGrad.Inputs: The Tsegmentids attribute
Tsegmentids - Variable in class org.tensorflow.op.sparse.SparseSegmentSumWithNumSegments.Inputs: The Tsegmentids attribute
Tserialized - Variable in class org.tensorflow.op.sparse.DeserializeSparse.Inputs: The Tserialized attribute
Tshape - Variable in class org.tensorflow.op.collective.CollectiveBcastRecv.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.QuantizedReshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.core.Reshape.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.nn.Conv3dBackpropInput.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomNormalV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformFullIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformIntV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessRandomUniformV2.Inputs: The Tshape attribute
Tshape - Variable in class org.tensorflow.op.random.StatelessTruncatedNormalV2.Inputs: The Tshape attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The TshardFuncArgs attribute
TshardFuncArgs - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The TshardFuncArgs attribute
Tshift - Variable in class org.tensorflow.op.core.Roll.Inputs: The Tshift attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedRange.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToSparse.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.StringNGrams.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecode.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeDecodeWithOffsets.Inputs: The Tsplits attribute
Tsplits - Variable in class org.tensorflow.op.strings.UnicodeEncode.Inputs: The Tsplits attribute
Tstate - Variable in class org.tensorflow.op.data.experimental.ScanDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The Tstate attribute
Tstate - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The Tstate attribute
TString - Interface in org.tensorflow.types: String type.
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Inputs: The Tsummand attribute
Tsummand - Variable in class org.tensorflow.op.nn.QuantizedConv2DWithBiasSumAndReluAndRequantize.Inputs: The Tsummand attribute
TType - Interface in org.tensorflow.types.family: Common interface for all typed tensors.
TUint16 - Interface in org.tensorflow.types: 16-bit unsigned integer tensor type.
TUint8 - Interface in org.tensorflow.types: 8-bit unsigned integer tensor type.
tupleMask - Variable in class org.tensorflow.op.tpu.MergeDedupData.Inputs: A serialized TensorProto string of output tuple mask.
tupleMask - Variable in class org.tensorflow.op.tpu.SplitDedupData.Inputs: A serialized TensorProto string of output tuple mask.
Tval - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: The Tval attribute
Tvalues - Variable in class org.tensorflow.op.core.LookupTableExport.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedGather.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorFromVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariant.Inputs: The Tvalues attribute
Tvalues - Variable in class org.tensorflow.op.ragged.RaggedTensorToVariantGradient.Inputs: The Tvalues attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
TwindowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The TwindowSizeFuncOtherArguments attribute
type - Variable in class org.tensorflow.op.AttributeMetadata: The type of this attribute, or the type of the list values if it is a list.
type - Variable in class org.tensorflow.op.core.Bitcast.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToDense.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmax.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSoftmaxGrad.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseCholesky.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixSparseMatMul.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixTranspose.Inputs: The type attribute
type - Variable in class org.tensorflow.op.linalg.sparse.SparseMatrixZeros.Inputs: The type attribute
type() - Method in class org.tensorflow.GraphOperation
type() - Method in interface org.tensorflow.Operand: Returns the tensor type of this operand
type() - Method in interface org.tensorflow.Operation: Returns the type of the operation, i.e., the name of the computation performed by the operation.
type() - Method in class org.tensorflow.Output: Returns the type of the tensor referred to by this Output.
type() - Method in interface org.tensorflow.types.family.TType: Returns the type of this tensor as a registered subclass of TType

U

u - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The u input
u() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets u.
u() - Method in class org.tensorflow.op.linalg.Svd: Gets u.
u() - Method in class org.tensorflow.op.nn.GRUBlockCell: Gets u.
U - Variable in class org.tensorflow.op.core.RelayoutLike.Inputs: The U attribute
U - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: The data type for the scale, offset, mean, and variance.
U - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: The data type for the scale, offset, mean, and variance.
uid - Variable in class org.tensorflow.op.tpu.TpuHandleToProtoKey.Inputs: The uid input
unbatch(Operand<T>, Operand<TInt64>, Operand<TInt64>, Long, Unbatch.Options...) - Method in class org.tensorflow.op.Ops: Reverses the operation of Batch for a single output Tensor.
Unbatch<T extends TType> - Class in org.tensorflow.op.core: Reverses the operation of Batch for a single output Tensor.
Unbatch(Operation) - Constructor for class org.tensorflow.op.core.Unbatch
Unbatch.Inputs<T extends TType> - Class in org.tensorflow.op.core
Unbatch.Options - Class in org.tensorflow.op.core: Optional attributes for Unbatch
unbatchDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: A dataset that splits the elements of its input into multiple elements.
unbatchDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UnbatchDataset.Options...) - Method in class org.tensorflow.op.DataOps: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset - Class in org.tensorflow.op.data.experimental: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset - Class in org.tensorflow.op.data: A dataset that splits the elements of its input into multiple elements.
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UnbatchDataset
UnbatchDataset(Operation) - Constructor for class org.tensorflow.op.data.UnbatchDataset
UnbatchDataset.Inputs - Class in org.tensorflow.op.data.experimental
UnbatchDataset.Inputs - Class in org.tensorflow.op.data
UnbatchDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UnbatchDataset
unbatchedTensor() - Method in class org.tensorflow.op.core.Unbatch: Gets unbatchedTensor.
unbatchGrad(Operand<T>, Operand<TInt64>, Operand<T>, Operand<TInt64>, UnbatchGrad.Options...) - Method in class org.tensorflow.op.Ops: Gradient of Unbatch.
UnbatchGrad<T extends TType> - Class in org.tensorflow.op.core: Gradient of Unbatch.
UnbatchGrad(Operation) - Constructor for class org.tensorflow.op.core.UnbatchGrad
UnbatchGrad.Inputs<T extends TType> - Class in org.tensorflow.op.core
UnbatchGrad.Options - Class in org.tensorflow.op.core: Optional attributes for UnbatchGrad
uncompress - Variable in class org.tensorflow.op.data.DataServiceDataset.Inputs: The uncompress attribute
uncompress(Boolean) - Method in class org.tensorflow.op.data.DataServiceDataset.Options: Sets the uncompress option.
uncompress(Boolean) - Static method in class org.tensorflow.op.data.DataServiceDataset: Sets the uncompress option.
uncompressElement(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: Uncompresses a compressed dataset element.
UncompressElement - Class in org.tensorflow.op.data: Uncompresses a compressed dataset element.
UncompressElement(Operation) - Constructor for class org.tensorflow.op.data.UncompressElement
UncompressElement.Inputs - Class in org.tensorflow.op.data
unicodeDecode(Operand<TString>, String, Class<T>, UnicodeDecode.Options...) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
unicodeDecode(Operand<TString>, String, UnicodeDecode.Options[]) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecode<T extends TNumber> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecode
UnicodeDecode.Inputs - Class in org.tensorflow.op.strings
UnicodeDecode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecode
unicodeDecodeWithOffsets(Operand<TString>, String, Class<T>, UnicodeDecodeWithOffsets.Options...) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
unicodeDecodeWithOffsets(Operand<TString>, String, UnicodeDecodeWithOffsets.Options[]) - Method in class org.tensorflow.op.StringsOps: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecodeWithOffsets<T extends TNumber> - Class in org.tensorflow.op.strings: Decodes each string in input into a sequence of Unicode code points.
UnicodeDecodeWithOffsets(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeDecodeWithOffsets
UnicodeDecodeWithOffsets.Inputs - Class in org.tensorflow.op.strings
UnicodeDecodeWithOffsets.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeDecodeWithOffsets
unicodeEncode(Operand<TInt32>, Operand<? extends TNumber>, String, UnicodeEncode.Options...) - Method in class org.tensorflow.op.StringsOps: Encode a tensor of ints into unicode strings.
UnicodeEncode - Class in org.tensorflow.op.strings: Encode a tensor of ints into unicode strings.
UnicodeEncode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeEncode
UnicodeEncode.Inputs - Class in org.tensorflow.op.strings
UnicodeEncode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeEncode
unicodeScript(Operand<TInt32>) - Method in class org.tensorflow.op.StringsOps: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript - Class in org.tensorflow.op.strings: Determine the script codes of a given tensor of Unicode integer code points.
UnicodeScript(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeScript
UnicodeScript.Inputs - Class in org.tensorflow.op.strings
unicodeTranscode(Operand<TString>, String, String, UnicodeTranscode.Options...) - Method in class org.tensorflow.op.StringsOps: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode - Class in org.tensorflow.op.strings: Transcode the input text from a source encoding to a destination encoding.
UnicodeTranscode(Operation) - Constructor for class org.tensorflow.op.strings.UnicodeTranscode
UnicodeTranscode.Inputs - Class in org.tensorflow.op.strings
UnicodeTranscode.Options - Class in org.tensorflow.op.strings: Optional attributes for UnicodeTranscode
uniformCandidateSampler(Operand<TInt64>, Long, Long, Boolean, Long, UniformCandidateSampler.Options...) - Method in class org.tensorflow.op.RandomOps: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler - Class in org.tensorflow.op.random: Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler(Operation) - Constructor for class org.tensorflow.op.random.UniformCandidateSampler
UniformCandidateSampler.Inputs - Class in org.tensorflow.op.random
UniformCandidateSampler.Options - Class in org.tensorflow.op.random: Optional attributes for UniformCandidateSampler
uniformDequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, UniformDequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform dequantization on the quantized Tensor input.
UniformDequantize - Class in org.tensorflow.op.quantization: Perform dequantization on the quantized Tensor input.
UniformDequantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformDequantize
UniformDequantize.Inputs - Class in org.tensorflow.op.quantization
UniformDequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformDequantize
uniformNoise - Variable in class org.tensorflow.op.image.ExtractGlimpse.Inputs: indicates if the noise should be generated using a uniform distribution or a Gaussian distribution.
uniformNoise(Boolean) - Method in class org.tensorflow.op.image.ExtractGlimpse.Options: Sets the uniformNoise option.
uniformNoise(Boolean) - Static method in class org.tensorflow.op.image.ExtractGlimpse: Sets the uniformNoise option.
uniformQuantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, UniformQuantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform quantization on Tensor input.
UniformQuantize - Class in org.tensorflow.op.quantization: Perform quantization on Tensor input.
UniformQuantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantize
UniformQuantize.Inputs - Class in org.tensorflow.op.quantization
UniformQuantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantize
uniformQuantizedAdd(Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Long, Long, Long, Long, Long, Long, UniformQuantizedAdd.Options...) - Method in class org.tensorflow.op.MathOps: Perform quantized add of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedAdd<T extends TNumber> - Class in org.tensorflow.op.math: Perform quantized add of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedAdd(Operation) - Constructor for class org.tensorflow.op.math.UniformQuantizedAdd
UniformQuantizedAdd.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
UniformQuantizedAdd.Options - Class in org.tensorflow.op.math: Optional attributes for UniformQuantizedAdd
uniformQuantizedClipByValue(Operand<T>, Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Long, Long, UniformQuantizedClipByValue.Options...) - Method in class org.tensorflow.op.Ops: Perform clip by value on the quantized Tensor operand.
UniformQuantizedClipByValue<T extends TNumber> - Class in org.tensorflow.op.core: Perform clip by value on the quantized Tensor operand.
UniformQuantizedClipByValue(Operation) - Constructor for class org.tensorflow.op.core.UniformQuantizedClipByValue
UniformQuantizedClipByValue.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
UniformQuantizedClipByValue.Options - Class in org.tensorflow.op.core: Optional attributes for UniformQuantizedClipByValue
uniformQuantizedConvolution(Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, String, Long, Long, Long, Long, Long, Long, UniformQuantizedConvolution.Options...) - Method in class org.tensorflow.op.NnOps: Perform quantized convolution of quantized Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolution - Class in org.tensorflow.op.nn: Perform quantized convolution of quantized Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolution(Operation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolution
UniformQuantizedConvolution.Inputs<T extends TNumber> - Class in org.tensorflow.op.nn
UniformQuantizedConvolution.Options - Class in org.tensorflow.op.nn: Optional attributes for UniformQuantizedConvolution
uniformQuantizedConvolutionHybrid(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class<V>, String, Long, Long, UniformQuantizedConvolutionHybrid.Options...) - Method in class org.tensorflow.op.NnOps: Perform hybrid quantized convolution of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolutionHybrid<V extends TNumber> - Class in org.tensorflow.op.nn: Perform hybrid quantized convolution of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedConvolutionHybrid(Operation) - Constructor for class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid
UniformQuantizedConvolutionHybrid.Inputs - Class in org.tensorflow.op.nn
UniformQuantizedConvolutionHybrid.Options - Class in org.tensorflow.op.nn: Optional attributes for UniformQuantizedConvolutionHybrid
uniformQuantizedDot(Operand<T>, Operand<T>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, Long, Long, Long, Long, UniformQuantizedDot.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform quantized dot of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedDot - Class in org.tensorflow.op.quantization: Perform quantized dot of quantized Tensor lhs and quantized Tensor rhs to make quantized output.
UniformQuantizedDot(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDot
UniformQuantizedDot.Inputs<T extends TNumber> - Class in org.tensorflow.op.quantization
UniformQuantizedDot.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantizedDot
uniformQuantizedDotHybrid(Operand<? extends TNumber>, Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Class<V>, Long, Long, UniformQuantizedDotHybrid.Options...) - Method in class org.tensorflow.op.QuantizationOps: Perform hybrid quantized dot of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedDotHybrid<V extends TNumber> - Class in org.tensorflow.op.quantization: Perform hybrid quantized dot of float Tensor lhs and quantized Tensor rhs.
UniformQuantizedDotHybrid(Operation) - Constructor for class org.tensorflow.op.quantization.UniformQuantizedDotHybrid
UniformQuantizedDotHybrid.Inputs - Class in org.tensorflow.op.quantization
UniformQuantizedDotHybrid.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformQuantizedDotHybrid
uniformRequantize(Operand<? extends TNumber>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TInt32>, Class, Long, Long, Long, Long, UniformRequantize.Options...) - Method in class org.tensorflow.op.QuantizationOps: Given quantized tensor input, requantize it with new quantization parameters.
UniformRequantize - Class in org.tensorflow.op.quantization: Given quantized tensor input, requantize it with new quantization parameters.
UniformRequantize(Operation) - Constructor for class org.tensorflow.op.quantization.UniformRequantize
UniformRequantize.Inputs - Class in org.tensorflow.op.quantization
UniformRequantize.Options - Class in org.tensorflow.op.quantization: Optional attributes for UniformRequantize
unigrams - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: A list of unigram counts or probabilities, one per ID in sequential order.
unigrams(Float...) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(Float...) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
unigrams(List<Float>) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the unigrams option.
unigrams(List<Float>) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the unigrams option.
unique - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.nn.LearnedUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.AllCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.LogUniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.ThreadUnsafeUnigramCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique - Variable in class org.tensorflow.op.random.UniformCandidateSampler.Inputs: If unique is true, we sample with rejection, so that all sampled candidates in a batch are unique.
unique(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
unique(Operand<T>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
Unique<T extends TType,V extends TNumber> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
Unique(Operation) - Constructor for class org.tensorflow.op.core.Unique
Unique.Inputs<T extends TType> - Class in org.tensorflow.op.core
uniqueDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataExperimentalOps: Creates a dataset that contains the unique elements of input_dataset.
uniqueDataset(Operand<? extends TType>, List<Class<? extends TType>>, List<Shape>, UniqueDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset - Class in org.tensorflow.op.data.experimental: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset - Class in org.tensorflow.op.data: Creates a dataset that contains the unique elements of input_dataset.
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.experimental.UniqueDataset
UniqueDataset(Operation) - Constructor for class org.tensorflow.op.data.UniqueDataset
UniqueDataset.Inputs - Class in org.tensorflow.op.data.experimental
UniqueDataset.Inputs - Class in org.tensorflow.op.data
UniqueDataset.Options - Class in org.tensorflow.op.data: Optional attributes for UniqueDataset
uniqueWithCounts(Operand<T>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
uniqueWithCounts(Operand<T>, Operand<? extends TNumber>, Class<V>) - Method in class org.tensorflow.op.Ops: Finds unique elements along an axis of a tensor.
UniqueWithCounts<T extends TType,V extends TNumber> - Class in org.tensorflow.op.core: Finds unique elements along an axis of a tensor.
UniqueWithCounts(Operation) - Constructor for class org.tensorflow.op.core.UniqueWithCounts
UniqueWithCounts.Inputs<T extends TType> - Class in org.tensorflow.op.core
unit - Variable in class org.tensorflow.op.strings.StringLength.Inputs: The unit that is counted to compute string length.
unit - Variable in class org.tensorflow.op.strings.Substr.Inputs: The unit that is used to create the substring.
unit(String) - Method in class org.tensorflow.op.strings.StringLength.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.StringLength: Sets the unit option.
unit(String) - Method in class org.tensorflow.op.strings.Substr.Options: Sets the unit option.
unit(String) - Static method in class org.tensorflow.op.strings.Substr: Sets the unit option.
unitsCompleted() - Method in class org.tensorflow.op.io.ReaderNumWorkUnitsCompleted: Gets unitsCompleted.
unpaddedSizes - Variable in class org.tensorflow.op.tpu.TPUCopyWithDynamicShape.Inputs: The unpaddedSizes input
unravelIndex(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex<T extends TNumber> - Class in org.tensorflow.op.core: Converts an array of flat indices into a tuple of coordinate arrays.
UnravelIndex(Operation) - Constructor for class org.tensorflow.op.core.UnravelIndex
UnravelIndex.Inputs<T extends TNumber> - Class in org.tensorflow.op.core
unsortedSegmentJoin(Operand<TString>, Operand<? extends TNumber>, Operand<? extends TNumber>, UnsortedSegmentJoin.Options...) - Method in class org.tensorflow.op.StringsOps: The UnsortedSegmentJoin operation
UnsortedSegmentJoin - Class in org.tensorflow.op.strings: The UnsortedSegmentJoin operation
UnsortedSegmentJoin(Operation) - Constructor for class org.tensorflow.op.strings.UnsortedSegmentJoin
UnsortedSegmentJoin.Inputs - Class in org.tensorflow.op.strings
UnsortedSegmentJoin.Options - Class in org.tensorflow.op.strings: Optional attributes for UnsortedSegmentJoin
unsortedSegmentMax(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the maximum along segments of a tensor.
UnsortedSegmentMax<T extends TNumber> - Class in org.tensorflow.op.math: Computes the maximum along segments of a tensor.
UnsortedSegmentMax(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMax
UnsortedSegmentMax.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
unsortedSegmentMin(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the minimum along segments of a tensor.
UnsortedSegmentMin<T extends TNumber> - Class in org.tensorflow.op.math: Computes the minimum along segments of a tensor.
UnsortedSegmentMin(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentMin
UnsortedSegmentMin.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
unsortedSegmentProd(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the product along segments of a tensor.
UnsortedSegmentProd<T extends TType> - Class in org.tensorflow.op.math: Computes the product along segments of a tensor.
UnsortedSegmentProd(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentProd
UnsortedSegmentProd.Inputs<T extends TType> - Class in org.tensorflow.op.math
unsortedSegmentSum(Operand<T>, Operand<? extends TNumber>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.MathOps: Computes the sum along segments of a tensor.
UnsortedSegmentSum<T extends TType> - Class in org.tensorflow.op.math: Computes the sum along segments of a tensor.
UnsortedSegmentSum(Operation) - Constructor for class org.tensorflow.op.math.UnsortedSegmentSum
UnsortedSegmentSum.Inputs<T extends TType> - Class in org.tensorflow.op.math
unstack(Operand<T>, Long, Unstack.Options...) - Method in class org.tensorflow.op.Ops: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack<T extends TType> - Class in org.tensorflow.op.core: Unpacks a given dimension of a rank-R tensor into num rank-(R-1) tensors.
Unstack(Operation) - Constructor for class org.tensorflow.op.core.Unstack
Unstack.Inputs<T extends TType> - Class in org.tensorflow.op.core
Unstack.Options - Class in org.tensorflow.op.core: Optional attributes for Unstack
unstage(List<Class<? extends TType>>, Unstage.Options...) - Method in class org.tensorflow.op.Ops: Op is similar to a lightweight Dequeue.
Unstage - Class in org.tensorflow.op.core: Op is similar to a lightweight Dequeue.
Unstage(Operation) - Constructor for class org.tensorflow.op.core.Unstage
Unstage.Inputs - Class in org.tensorflow.op.core
Unstage.Options - Class in org.tensorflow.op.core: Optional attributes for Unstage
unwrapDatasetVariant(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The UnwrapDatasetVariant operation
UnwrapDatasetVariant - Class in org.tensorflow.op.data: The UnwrapDatasetVariant operation
UnwrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.UnwrapDatasetVariant
UnwrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedAccumulator.
updatedAccumulator() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedAccumulator.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagrad: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseCoreSgd: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedEmbeddingTable.
updatedEmbeddingTable() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput: Gets updatedEmbeddingTable.
updatedLinear() - Method in class org.tensorflow.op.xla.XlaSparseCoreFtrl: Gets updatedLinear.
updatedLinear() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput: Gets updatedLinear.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput: Gets updatedMomenta.
updatedMomenta() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedMomenta.
updatedMomentum() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum: Gets updatedMomentum.
updatedMomentum() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedMomentum.
updatedVelocity() - Method in class org.tensorflow.op.xla.XlaSparseCoreAdam: Gets updatedVelocity.
updatedVelocity() - Method in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput: Gets updatedVelocity.
updates - Variable in class org.tensorflow.op.core.ResourceScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterDiv.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMax.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMin.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterMul.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ResourceScatterSub.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ResourceScatterUpdate.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: A tensor of updated values to add to ref.
updates - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: A tensor of values that ref is divided by.
updates - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: A tensor of updated values to reduce into ref.
updates - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: A tensor of updated values to multiply to ref.
updates - Variable in class org.tensorflow.op.core.ScatterNd.Inputs: Values to scatter into the output tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdNonAliasingAdd.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: A Tensor.
updates - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: A tensor of updated values to subtract from ref.
updates - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: A tensor of updated values to store in ref.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdAdd.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMax.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdMin.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdSub.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.core.TensorScatterNdUpdate.Inputs: Updates to scatter into output.
updates - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingAdadeltaParameters.Inputs: Value of updates used in the Adadelta optimization algorithm.
updates() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingAdadeltaParameters: Gets updates.
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: The updateSlots attribute
updateSlots - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: The updateSlots attribute
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the updateSlots option.
updateSlots(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the updateSlots option.
updateSlots(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the updateSlots option.
upper(Operand<TString>, Upper.Options...) - Method in class org.tensorflow.op.StringsOps: Converts all lowercase characters into their respective uppercase replacements.
Upper - Class in org.tensorflow.op.strings: Converts all lowercase characters into their respective uppercase replacements.
Upper(Operation) - Constructor for class org.tensorflow.op.strings.Upper
Upper.Inputs - Class in org.tensorflow.op.strings
Upper.Options - Class in org.tensorflow.op.strings: Optional attributes for Upper
upperBound(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.Ops: Applies upper_bound(sorted_search_values, values) along each row.
upperBound(Operand<T>, Operand<T>, Class) - Method in class org.tensorflow.op.Ops: Applies upper_bound(sorted_search_values, values) along each row.
UpperBound - Class in org.tensorflow.op.core: Applies upper_bound(sorted_search_values, values) along each row.
UpperBound(Operation) - Constructor for class org.tensorflow.op.core.UpperBound
UpperBound.Inputs<T extends TType> - Class in org.tensorflow.op.core
upperFrequencyLimit - Variable in class org.tensorflow.op.audio.Mfcc.Inputs: The highest frequency to use when calculating the ceptstrum.
upperFrequencyLimit(Float) - Method in class org.tensorflow.op.audio.Mfcc.Options: Sets the upperFrequencyLimit option.
upperFrequencyLimit(Float) - Static method in class org.tensorflow.op.audio.Mfcc: Sets the upperFrequencyLimit option.
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2d.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilter.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropInput.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu - Variable in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Inputs: The useCudnnOnGpu attribute
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2d.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2d: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilter.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilter: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropFilterV2: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInput.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInput: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Method in class org.tensorflow.op.nn.Conv2dBackpropInputV2.Options: Sets the useCudnnOnGpu option.
useCudnnOnGpu(Boolean) - Static method in class org.tensorflow.op.nn.Conv2dBackpropInputV2: Sets the useCudnnOnGpu option.
useDefaultDevice - Variable in class org.tensorflow.op.data.ScanDataset.Inputs: The useDefaultDevice attribute
useDefaultDevice(Boolean) - Method in class org.tensorflow.op.data.ScanDataset.Options: Sets the useDefaultDevice option.
useDefaultDevice(Boolean) - Static method in class org.tensorflow.op.data.ScanDataset: Sets the useDefaultDevice option.
useFallback - Variable in class org.tensorflow.op.data.experimental.RebatchDataset.Inputs: The useFallback attribute
useFallback(Boolean) - Method in class org.tensorflow.op.data.experimental.RebatchDataset.Options: Sets the useFallback option.
useFallback(Boolean) - Static method in class org.tensorflow.op.data.experimental.RebatchDataset: Sets the useFallback option.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.SampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes - Variable in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Inputs: Controls behavior if no bounding boxes supplied.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.SampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.SampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox.Options: Sets the useImageIfNoBoundingBoxes option.
useImageIfNoBoundingBoxes(Boolean) - Static method in class org.tensorflow.op.image.StatelessSampleDistortedBoundingBox: Sets the useImageIfNoBoundingBoxes option.
useInterOpParallelism - Variable in class org.tensorflow.op.data.experimental.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.MapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.ParallelMapDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism - Variable in class org.tensorflow.op.data.ReduceDataset.Inputs: The useInterOpParallelism attribute
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.experimental.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.experimental.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.MapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.MapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ParallelMapDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ParallelMapDataset: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Method in class org.tensorflow.op.data.ReduceDataset.Options: Sets the useInterOpParallelism option.
useInterOpParallelism(Boolean) - Static method in class org.tensorflow.op.data.ReduceDataset: Sets the useInterOpParallelism option.
useLocking - Variable in class org.tensorflow.op.core.Assign.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.AssignSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdAdd.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMax.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdMin.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdSub.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ResourceScatterNdUpdate.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterAdd.Inputs: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterDiv.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMax.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMin.Inputs: If True, the update will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterMul.Inputs: If True, the operation will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdAdd.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMax.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdMin.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdSub.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterNdUpdate.Inputs: An optional bool.
useLocking - Variable in class org.tensorflow.op.core.ScatterSub.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.core.ScatterUpdate.Inputs: If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: If True, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: If True, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: If True, updating of the var, mg, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: If True, updating of the var, ms, and mom tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
useLocking(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.AssignSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.AssignSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ResourceScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ResourceScatterNdUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterDiv.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterDiv: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterMul.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterMul: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdAdd.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdAdd: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdMin.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdMin: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterNdUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterNdUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterSub.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterSub: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.core.ScatterUpdate.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.core.ScatterUpdate: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdagradV2: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdaMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyAddSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyPowerSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdaMax.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdaMax: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAddSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAddSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyPowerSign.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyPowerSign: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdadelta.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdadelta: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyAdagradDa.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyAdagradDa: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyCenteredRmsProp: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyFtrl.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyFtrl: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalAdagrad: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyProximalGradientDescent: Sets the useLocking option.
useLocking(Boolean) - Method in class org.tensorflow.op.train.SparseApplyRmsProp.Options: Sets the useLocking option.
useLocking(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyRmsProp: Sets the useLocking option.
useNesterov - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: If True, uses the nesterov update.
useNesterov - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: If True, uses the nesterov update.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: If True, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: If True, the tensor passed to compute grad will be var + momentum * accum, so in the end, the var you get is actually var + momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: If True, the tensor passed to compute grad will be var - lr * momentum * accum, so in the end, the var you get is actually var - lr * momentum * accum.
useNesterov - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum.Inputs: The useNesterov attribute
useNesterov - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs: The useNesterov attribute
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyAdam: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyAdam.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyAdam: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyKerasMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.ResourceSparseApplyMomentum: Sets the useNesterov option.
useNesterov(Boolean) - Method in class org.tensorflow.op.train.SparseApplyMomentum.Options: Sets the useNesterov option.
useNesterov(Boolean) - Static method in class org.tensorflow.op.train.SparseApplyMomentum: Sets the useNesterov option.
useNodeNameSharing - Variable in class org.tensorflow.op.core.HashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The useNodeNameSharing attribute
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: If true and shared_name is empty, the table is shared using the node name.
useNodeNameSharing - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The useNodeNameSharing attribute
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.HashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.HashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTable.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTable: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the useNodeNameSharing option.
useNodeNameSharing(Boolean) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the useNodeNameSharing option.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: Whether to use peephole weights.
usePeephole - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: Whether the cell uses peephole connections.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.BlockLSTM.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.BlockLSTM: Sets the usePeephole option.
usePeephole(Boolean) - Method in class org.tensorflow.op.nn.LSTMBlockCell.Options: Sets the usePeephole option.
usePeephole(Boolean) - Static method in class org.tensorflow.op.nn.LSTMBlockCell: Sets the usePeephole option.
useQuoteDelim - Variable in class org.tensorflow.op.data.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.data.experimental.CSVDataset.Inputs: The useQuoteDelim input
useQuoteDelim - Variable in class org.tensorflow.op.io.DecodeCsv.Inputs: If false, treats double quotation marks as regular characters inside of the string fields (ignoring RFC 4180, Section 2, Bullet 5).
useQuoteDelim(Boolean) - Method in class org.tensorflow.op.io.DecodeCsv.Options: Sets the useQuoteDelim option.
useQuoteDelim(Boolean) - Static method in class org.tensorflow.op.io.DecodeCsv: Sets the useQuoteDelim option.
userName - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The userName input
useShardFunc - Variable in class org.tensorflow.op.data.SaveDataset.Inputs: The useShardFunc attribute
useShardFunc(Boolean) - Method in class org.tensorflow.op.data.SaveDataset.Options: Sets the useShardFunc option.
useShardFunc(Boolean) - Static method in class org.tensorflow.op.data.SaveDataset: Sets the useShardFunc option.
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

The useSpmdForXlaPartitioning attribute
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useSpmdForXlaPartitioning(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useSpmdForXlaPartitioning option.
useSumInsideSqrt - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The useSumInsideSqrt attribute
useSumInsideSqrt - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The useSumInsideSqrt attribute
useTfrtHostRuntime - Variable in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Inputs: The useTfrtHostRuntime attribute
useTfrtHostRuntime(Boolean) - Method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU.Options: Sets the useTfrtHostRuntime option.
useTfrtHostRuntime(Boolean) - Static method in class org.tensorflow.op.tpu.ConfigureAndInitializeGlobalTPU: Sets the useTfrtHostRuntime option.
useTpu - Variable in class org.tensorflow.op.tpu.ReplicateMetadata.Inputs: Whether to place the computation on the TPU.
useTpu - Variable in class org.tensorflow.op.tpu.TPUReplicateMetadata.Inputs: Deprecated.

Whether to place the computation on the TPU.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.ReplicateMetadata.Options: Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.ReplicateMetadata: Sets the useTpu option.
useTpu(Boolean) - Method in class org.tensorflow.op.tpu.TPUReplicateMetadata.Options: Deprecated.

Sets the useTpu option.
useTpu(Boolean) - Static method in class org.tensorflow.op.tpu.TPUReplicateMetadata: Deprecated.

Sets the useTpu option.
using(Charset) - Method in interface org.tensorflow.types.TString: Use a specific charset for decoding data from a string tensor, instead of the default UTF-8.

V

v - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A Tensor of type T.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A 1D variance Tensor with size matching the last dimension of t.
v - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingProximalYogiParameters.Inputs: The v input
v - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
v - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
v() - Method in class org.tensorflow.op.linalg.BatchSelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.BatchSvd: Gets v.
v() - Method in class org.tensorflow.op.linalg.Eig: Gets v.
v() - Method in class org.tensorflow.op.linalg.SelfAdjointEig: Gets v.
v() - Method in class org.tensorflow.op.linalg.Svd: Gets v.
v() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingProximalYogiParameters: Gets v.
valGrad() - Method in class org.tensorflow.op.sparse.SparseSliceGrad: Gets valGrad.
validateDescription(Signature.TensorDescription, Graph, String, String) - Static method in interface org.tensorflow.TensorFunction
validateIndices - Variable in class org.tensorflow.op.core.ResourceGather.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.core.SetSize.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToDense.Inputs: If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.
validateIndices - Variable in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Inputs: The validateIndices attribute
validateIndices(Boolean) - Method in class org.tensorflow.op.core.ResourceGather.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.ResourceGather: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.core.SetSize.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.core.SetSize: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToDenseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToDenseSetOperation: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.DenseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.DenseToSparseSetOperation: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToDense.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToDense: Sets the validateIndices option.
validateIndices(Boolean) - Method in class org.tensorflow.op.sparse.SparseToSparseSetOperation.Options: Sets the validateIndices option.
validateIndices(Boolean) - Static method in class org.tensorflow.op.sparse.SparseToSparseSetOperation: Sets the validateIndices option.
validateShape - Variable in class org.tensorflow.op.core.Assign.Inputs: If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to.
validateShape - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: The validateShape attribute
validateShape(Boolean) - Method in class org.tensorflow.op.core.Assign.Options: Sets the validateShape option.
validateShape(Boolean) - Static method in class org.tensorflow.op.core.Assign: Sets the validateShape option.
validateShape(Boolean) - Method in class org.tensorflow.op.core.AssignVariableOp.Options: Sets the validateShape option.
validateShape(Boolean) - Static method in class org.tensorflow.op.core.AssignVariableOp: Sets the validateShape option.
validDetections() - Method in class org.tensorflow.op.image.CombinedNonMaxSuppression: Gets validDetections.
validOutputs() - Method in class org.tensorflow.op.image.NonMaxSuppression: Gets validOutputs.
value - Variable in class org.tensorflow.op.core.Assign.Inputs: The value to be assigned to the variable.
value - Variable in class org.tensorflow.op.core.AssignAdd.Inputs: The value to be added to the variable.
value - Variable in class org.tensorflow.op.core.AssignAddVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignSub.Inputs: The value to be subtracted to the variable.
value - Variable in class org.tensorflow.op.core.AssignSubVariableOp.Inputs: the value by which the variable will be incremented.
value - Variable in class org.tensorflow.op.core.AssignVariableOp.Inputs: the value to set the new tensor to use.
value - Variable in class org.tensorflow.op.core.FileSystemSetConfiguration.Inputs: The value of the configuration option.
value - Variable in class org.tensorflow.op.core.Fill.Inputs: 0-D (scalar).
value - Variable in class org.tensorflow.op.core.GetSessionHandle.Inputs: The tensor to be stored.
value - Variable in class org.tensorflow.op.core.HostConst.Inputs: Attr value is the tensor to return.
value - Variable in class org.tensorflow.op.core.ResourceStridedSliceAssign.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Split.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.SplitV.Inputs: The tensor to split.
value - Variable in class org.tensorflow.op.core.StridedSliceAssign.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorArrayScatter.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArraySplit.Inputs: The concatenated tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorArrayUnpack.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorArrayWrite.Inputs: The tensor to write to the TensorArray.
value - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The value input
value - Variable in class org.tensorflow.op.core.TensorStridedSliceUpdate.Inputs: The value input
value - Variable in class org.tensorflow.op.core.Unstack.Inputs: 1-D or higher, with axis dimension size equal to num.
value - Variable in class org.tensorflow.op.nn.AvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.BiasAdd.Inputs: Any number of dimensions.
value - Variable in class org.tensorflow.op.nn.FractionalAvgPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.nn.FractionalMaxPool.Inputs: 4-D with shape [batch, height, width, channels].
value - Variable in class org.tensorflow.op.random.experimental.StatelessShuffle.Inputs: The tensor to be shuffled.
value - Variable in class org.tensorflow.op.random.RandomShuffle.Inputs: The tensor to be shuffled.
value - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The value input
value() - Method in class org.tensorflow.op.core.DestroyTemporaryVariable: Gets value.
value() - Method in class org.tensorflow.op.core.GetSessionTensor: Gets value.
value() - Method in class org.tensorflow.op.core.ReadVariableOp: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayConcat: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayGather: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayPack: Gets value.
value() - Method in class org.tensorflow.op.core.TensorArrayRead: Gets value.
value() - Method in class org.tensorflow.op.core.TensorMapLookup: Gets value.
value() - Method in class org.tensorflow.op.io.ReaderRead: Gets value.
value() - Method in class org.tensorflow.op.random.RngReadAndSkip: Gets value.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.HashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTable.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: Type of the table values.
valueDtype - Variable in class org.tensorflow.op.core.TensorMapErase.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapInsert.Inputs: The valueDtype attribute
valueDtype - Variable in class org.tensorflow.op.core.TensorMapLookup.Inputs: The valueDtype attribute
valueIndex - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Column index that represents information of a line to get the table value values from.
valueIndex() - Method in class org.tensorflow.op.core.Merge: Gets valueIndex.
valueIndex() - Method in class org.tensorflow.op.core.RefMerge: Gets valueIndex.
valueOf(String) - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns the enum constant of this type with the specified name.
valueRange - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Shape [2] Tensor of same dtype as values.
valueRowids - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The valueRowids input
values - Variable in class org.tensorflow.op.core.BarrierInsertMany.Inputs: An any-dimensional tensor of values, which are associated with the respective keys.
values - Variable in class org.tensorflow.op.core.Concat.Inputs: List of N Tensors to concatenate.
values - Variable in class org.tensorflow.op.core.EncodeProto.Inputs: List of tensors containing values for the corresponding field.
values - Variable in class org.tensorflow.op.core.HistogramFixedWidth.Inputs: Numeric Tensor.
values - Variable in class org.tensorflow.op.core.InitializeTable.Inputs: Values of type Tval.
values - Variable in class org.tensorflow.op.core.LookupTableImport.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LookupTableInsert.Inputs: Values to associate with keys.
values - Variable in class org.tensorflow.op.core.LowerBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values - Variable in class org.tensorflow.op.core.MapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.OrderedMapStage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.ParallelConcat.Inputs: Tensors to be concatenated.
values - Variable in class org.tensorflow.op.core.Stack.Inputs: Must be of same shape and type.
values - Variable in class org.tensorflow.op.core.Stage.Inputs: a list of tensors dtypes A list of data types that inserted values should adhere to.
values - Variable in class org.tensorflow.op.core.UpperBound.Inputs: 2-D Tensor with the same numbers of rows as sorted_search_values.
values - Variable in class org.tensorflow.op.data.SparseTensorSliceDataset.Inputs: The values input
values - Variable in class org.tensorflow.op.linalg.sparse.SparseTensorToCSRSparseMatrix.Inputs: SparseTensor values.
values - Variable in class org.tensorflow.op.quantization.QuantizedConcat.Inputs: The N Tensors to concatenate.
values - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: 2D int Tensor.
values - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.ragged.RaggedFillEmptyRows.Inputs: The values input
values - Variable in class org.tensorflow.op.ragged.RaggedTensorToTensor.Inputs: A 1D tensor representing the values of the ragged tensor.
values - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: Tensor containing data to count.
values - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: 1D int Tensor.
values - Variable in class org.tensorflow.op.sparse.SparseConcat.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: Tensor containing values of the sparse tensor to count.
values - Variable in class org.tensorflow.op.sparse.SparseCross.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseCrossHashed.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseFillEmptyRows.Inputs: 1-D.
values - Variable in class org.tensorflow.op.sparse.SparseSlice.Inputs: 1-D tensor represents the values of the sparse tensor.
values - Variable in class org.tensorflow.op.sparse.SparseSplit.Inputs: 1-D tensor represents the values of the sparse tensor.
values - Variable in class org.tensorflow.op.summary.HistogramSummary.Inputs: Any shape.
values - Variable in class org.tensorflow.op.summary.ScalarSummary.Inputs: Same shape as `tags.
values - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The values input
values - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The values input
values - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmul.Inputs: The values input
values() - Static method in enum org.tensorflow.DeviceSpec.DeviceType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.tensorflow.ExecutionEnvironment.Types: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.tensorflow.op.core.ApproxTopK: Gets values.
values() - Method in class org.tensorflow.op.core.BarrierTakeMany: Gets values.
values() - Method in class org.tensorflow.op.core.DecodeProto: Gets values.
values() - Method in class org.tensorflow.op.core.LookupTableExport: Gets values.
values() - Method in class org.tensorflow.op.core.LookupTableFind: Gets values.
values() - Method in class org.tensorflow.op.core.MapPeek: Gets values.
values() - Method in class org.tensorflow.op.core.MapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.MapUnstageNoKey: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapPeek: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstage: Gets values.
values() - Method in class org.tensorflow.op.core.OrderedMapUnstageNoKey: Gets values.
values() - Method in class org.tensorflow.op.core.StagePeek: Gets values.
values() - Method in class org.tensorflow.op.core.TensorListGather: Gets values.
values() - Method in class org.tensorflow.op.core.Unstage: Gets values.
values() - Method in class org.tensorflow.op.io.ReaderReadUpTo: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixComponents: Gets values.
values() - Method in class org.tensorflow.op.linalg.sparse.CSRSparseMatrixToSparseTensor: Gets values.
values() - Method in class org.tensorflow.op.nn.NthElement: Gets values.
values() - Method in class org.tensorflow.op.nn.TopK: Gets values.
values() - Method in class org.tensorflow.op.sparse.SparseAccumulatorTakeGradient: Gets values.
values() - Method in class org.tensorflow.op.strings.StringSplit: Gets values.
values() - Method in interface org.tensorflow.SparseTensor: Gets the sparse values.
valueShape - Variable in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Inputs: The shape of each value.
valueShape - Variable in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Inputs: The valueShape attribute
valueShape - Variable in class org.tensorflow.op.core.MutableDenseHashTable.Inputs: The shape of each value.
valueShape - Variable in class org.tensorflow.op.core.MutableHashTableOfTensors.Inputs: The valueShape attribute
valueShape(Shape) - Method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.AnonymousMutableDenseHashTable: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.AnonymousMutableHashTableOfTensors: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableDenseHashTable.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableDenseHashTable: Sets the valueShape option.
valueShape(Shape) - Method in class org.tensorflow.op.core.MutableHashTableOfTensors.Options: Sets the valueShape option.
valueShape(Shape) - Static method in class org.tensorflow.op.core.MutableHashTableOfTensors: Sets the valueShape option.
var - Variable in class org.tensorflow.op.train.ApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdadelta.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdam.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdaMax.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyAddSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyPowerSign.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyAdagradV2.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyKerasMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.ResourceSparseApplyRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdadelta.Inputs: The var input
var - Variable in class org.tensorflow.op.train.SparseApplyAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyAdagradDa.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyCenteredRmsProp.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyFtrl.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyMomentum.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalAdagrad.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyProximalGradientDescent.Inputs: Should be from a Variable().
var - Variable in class org.tensorflow.op.train.SparseApplyRmsProp.Inputs: Should be from a Variable().
varHandleOp(Class<T>, Shape, VarHandleOp.Options...) - Method in class org.tensorflow.op.Ops: Creates a handle to a Variable resource.
VarHandleOp - Class in org.tensorflow.op.core: Creates a handle to a Variable resource.
VarHandleOp(Operation) - Constructor for class org.tensorflow.op.core.VarHandleOp
VarHandleOp.Inputs - Class in org.tensorflow.op.core
VarHandleOp.Options - Class in org.tensorflow.op.core: Optional attributes for VarHandleOp
variable(Shape, Class<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops: Holds state in the form of a tensor that persists across steps.
variable(Operand<T>, Variable.Options...) - Method in class org.tensorflow.op.Ops: Factory method to create a new Variable with its initializer.
Variable<T extends TType> - Class in org.tensorflow.op.core: Holds state in the form of a tensor that persists across steps.
Variable(Operation) - Constructor for class org.tensorflow.op.core.Variable
Variable.Inputs - Class in org.tensorflow.op.core
Variable.Options - Class in org.tensorflow.op.core: Optional attributes for Variable
variableShape(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
variableShape(Operand<? extends TType>, Class<T>) - Method in class org.tensorflow.op.Ops: Returns the shape of the variable pointed to by resource.
VariableShape<T extends TNumber> - Class in org.tensorflow.op.core: Returns the shape of the variable pointed to by resource.
VariableShape(Operation) - Constructor for class org.tensorflow.op.core.VariableShape
VariableShape.Inputs - Class in org.tensorflow.op.core
variance - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 1D Tensor for population variance.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.BatchNormWithGlobalNormalizationGrad.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A small float number to avoid dividing by 0.
varianceEpsilon(Float) - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm.Options: Sets the varianceEpsilon option.
varianceEpsilon(Float) - Static method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Sets the varianceEpsilon option.
varIsInitializedOp(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp - Class in org.tensorflow.op.core: Checks whether a resource handle-based variable has been initialized.
VarIsInitializedOp(Operation) - Constructor for class org.tensorflow.op.core.VarIsInitializedOp
VarIsInitializedOp.Inputs - Class in org.tensorflow.op.core
varName - Variable in class org.tensorflow.op.core.DestroyTemporaryVariable.Inputs: Name of the temporary variable, usually the name of the matching 'TemporaryVariable' op.
varName - Variable in class org.tensorflow.op.core.TemporaryVariable.Inputs: Overrides the name used for the temporary variable resource.
varName(String) - Method in class org.tensorflow.op.core.TemporaryVariable.Options: Sets the varName option.
varName(String) - Static method in class org.tensorflow.op.core.TemporaryVariable: Sets the varName option.
vars - Variable in class org.tensorflow.op.tpu.TPUReshardVariables.Inputs: The vars input
vectorOf(boolean...) - Static method in interface org.tensorflow.types.TBool: Allocates a new tensor for storing a vector of booleans.
vectorOf(byte...) - Static method in interface org.tensorflow.types.TUint8: Allocates a new tensor for storing a vector of bytes.
vectorOf(double...) - Static method in interface org.tensorflow.types.TFloat64: Allocates a new tensor for storing a vector of doubles.
vectorOf(float...) - Static method in interface org.tensorflow.types.TBfloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat16: Allocates a new tensor for storing a vector of floats.
vectorOf(float...) - Static method in interface org.tensorflow.types.TFloat32: Allocates a new tensor for storing a vector of floats.
vectorOf(int...) - Static method in interface org.tensorflow.types.TInt32: Allocates a new tensor for storing a vector of ints.
vectorOf(long...) - Static method in interface org.tensorflow.types.TInt64: Allocates a new tensor for storing a vector of longs.
vectorOf(short...) - Static method in interface org.tensorflow.types.TUint16: Allocates a new tensor for storing a vector of shorts.
vectorOf(String...) - Static method in interface org.tensorflow.types.TString: Allocates a new tensor for storing a vector of strings.
vectorOf(Scope, boolean[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of boolean elements.
vectorOf(Scope, byte[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of byte elements.
vectorOf(Scope, double[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of double elements.
vectorOf(Scope, float[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of float elements.
vectorOf(Scope, int[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of int elements.
vectorOf(Scope, long[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of long elements.
vectorOf(Scope, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a rank-1 constant of String elements.
vectorOf(Scope, Charset, String[]) - Static method in class org.tensorflow.op.core.Constant: Creates a constant of String elements, using the given charset.
velocities - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingADAMParameters.Inputs: Value of velocities used in the ADAM optimization algorithm.
velocities() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingADAMParameters: Gets velocities.
velocity - Variable in class org.tensorflow.op.xla.XlaSparseCoreAdam.Inputs: The velocity input
velocity - Variable in class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs: The velocity input
version - Variable in class org.tensorflow.op.data.SnapshotDatasetReader.Inputs: The version attribute
version() - Static method in class org.tensorflow.TensorFlow: Returns the version of the underlying TensorFlow runtime.
vhat - Variable in class org.tensorflow.op.train.ResourceApplyAdamWithAmsgrad.Inputs: Should be from a Variable().
vMax - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the highest quantized variance.
vMin - Variable in class org.tensorflow.op.nn.QuantizedBatchNormWithGlobalNormalization.Inputs: The value represented by the lowest quantized variance.
vocabCount - Variable in class org.tensorflow.op.train.NegTrain.Inputs: Count of words in the vocabulary.
vocabFile - Variable in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Inputs: Each valid line in this file (which should have a CSV-like format) corresponds to a valid word ID.
vocabFile(String) - Method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler.Options: Sets the vocabFile option.
vocabFile(String) - Static method in class org.tensorflow.op.nn.FixedUnigramCandidateSampler: Sets the vocabFile option.
vocabFreq() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabFreq.
vocabSize - Variable in class org.tensorflow.op.core.InitializeTableFromTextFile.Inputs: Number of elements of the file, use -1 if unknown.
vocabSize(Long) - Method in class org.tensorflow.op.core.InitializeTableFromTextFile.Options: Sets the vocabSize option.
vocabSize(Long) - Static method in class org.tensorflow.op.core.InitializeTableFromTextFile: Sets the vocabSize option.
vocabWord() - Method in class org.tensorflow.op.core.Skipgram: Gets vocabWord.

W

w - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix.
w - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix.
waitForIncomplete - Variable in class org.tensorflow.op.core.BarrierTakeMany.Inputs: The waitForIncomplete attribute
waitForIncomplete(Boolean) - Method in class org.tensorflow.op.core.BarrierTakeMany.Options: Sets the waitForIncomplete option.
waitForIncomplete(Boolean) - Static method in class org.tensorflow.op.core.BarrierTakeMany: Sets the waitForIncomplete option.
WARN - Enum constant in enum org.tensorflow.EagerSession.DevicePlacementPolicy: Copy the tensor to the right device but log a warning.
wC - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wC input
wC - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wC input
wcf - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for forget gate peephole connection.
wcf - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for forget gate peephole connection.
wcfGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcfGrad.
wcfGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcfGrad.
wci - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for input gate peephole connection.
wci - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for input gate peephole connection.
wciGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wciGrad.
wciGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wciGrad.
wco - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The weight matrix for output gate peephole connection.
wco - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The weight matrix for output gate peephole connection.
wcoGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wcoGrad.
wcoGrad() - Method in class org.tensorflow.op.nn.LSTMBlockCellGrad: Gets wcoGrad.
weights - Variable in class org.tensorflow.op.math.Bincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.math.DenseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as arr, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.nn.CudnnRNNCanonicalToParams.Inputs: The weights input
weights - Variable in class org.tensorflow.op.ragged.RaggedBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.ragged.RaggedCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.DenseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.sparse.SparseBincount.Inputs: is an int32, int64, float32, or float64 Tensor with the same shape as input, or a length-0 Tensor, in which case it acts as all weights equal to 1.
weights - Variable in class org.tensorflow.op.sparse.SparseCountSparseOutput.Inputs: A Tensor of the same shape as indices containing per-index weight values.
weights - Variable in class org.tensorflow.op.tpu.ConvertToCooTensor.Inputs: The weights input
weights - Variable in class org.tensorflow.op.tpu.LoadTPUEmbeddingMDLAdagradLightParameters.Inputs: Value of weights used in the MDL Adagrad Light optimization algorithm.
weights - Variable in class org.tensorflow.op.train.SdcaShrinkL1.Inputs: a list of vectors where each value is the weight associated with a feature group.
weights() - Method in class org.tensorflow.op.nn.ComputeAccidentalHits: Gets weights.
weights() - Method in class org.tensorflow.op.nn.CudnnRNNParamsToCanonical: Gets weights.
weights() - Method in class org.tensorflow.op.tpu.RetrieveTPUEmbeddingMDLAdagradLightParameters: Gets weights.
wGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets wGrad.
where(Operand<? extends TType>) - Method in class org.tensorflow.op.Ops: Returns locations of nonzero / true values in a tensor.
Where - Class in org.tensorflow.op.core: Returns locations of nonzero / true values in a tensor.
Where(Operation) - Constructor for class org.tensorflow.op.core.Where
Where.Inputs - Class in org.tensorflow.op.core
While - Interface in org.tensorflow.op.core: output = input; While (Cond(output)) { output = Body(output) }
While.Options - Class in org.tensorflow.op.core: Optional attributes for While
whileLoop(Output<?>[], Graph.WhileSubgraphBuilder, Graph.WhileSubgraphBuilder, String) - Method in class org.tensorflow.Graph: Builds a while loop.
whileOp(Iterable<Operand<?>>, ConcreteFunction, ConcreteFunction, While.Options...) - Method in class org.tensorflow.op.Ops: output = input; While (Cond(output)) { output = Body(output) }
wholeFileReader(WholeFileReader.Options...) - Method in class org.tensorflow.op.IoOps: A Reader that outputs the entire contents of a file as a value.
WholeFileReader - Class in org.tensorflow.op.io: A Reader that outputs the entire contents of a file as a value.
WholeFileReader(Operation) - Constructor for class org.tensorflow.op.io.WholeFileReader
WholeFileReader.Inputs - Class in org.tensorflow.op.io
WholeFileReader.Options - Class in org.tensorflow.op.io: Optional attributes for WholeFileReader
width - Variable in class org.tensorflow.op.dtypes.AsString.Inputs: Pad pre-decimal numbers to this width.
width(Long) - Method in class org.tensorflow.op.dtypes.AsString.Options: Sets the width option.
width(Long) - Static method in class org.tensorflow.op.dtypes.AsString: Sets the width option.
wIn - Variable in class org.tensorflow.op.train.NegTrain.Inputs: input word embedding.
windowDataset(Operand<? extends TType>, Operand<TInt64>, Operand<TInt64>, Operand<TInt64>, Operand<TBool>, List<Class<? extends TType>>, List<Shape>, WindowDataset.Options...) - Method in class org.tensorflow.op.DataOps: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset - Class in org.tensorflow.op.data: Combines (nests of) input elements into a dataset of (nests of) windows.
WindowDataset(Operation) - Constructor for class org.tensorflow.op.data.WindowDataset
WindowDataset.Inputs - Class in org.tensorflow.op.data
WindowDataset.Options - Class in org.tensorflow.op.data: Optional attributes for WindowDataset
windowOp(Iterable<Operand<?>>, List<Class<? extends TType>>, List<Shape>) - Method in class org.tensorflow.op.DataOps: The WindowOp operation
WindowOp - Class in org.tensorflow.op.data: The WindowOp operation
WindowOp(Operation) - Constructor for class org.tensorflow.op.data.WindowOp
WindowOp.Inputs - Class in org.tensorflow.op.data
windowShift - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowShift - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the steps moving the sliding window forward in one iteration.
windowSize - Variable in class org.tensorflow.op.audio.AudioSpectrogram.Inputs: How wide the input window is in samples.
windowSize - Variable in class org.tensorflow.op.core.Skipgram.Inputs: The number of words to predict to the left and right of the target.
windowSize - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSize - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the number of elements in the sliding window.
windowSize(Long) - Method in class org.tensorflow.op.core.Skipgram.Options: Sets the windowSize option.
windowSize(Long) - Static method in class org.tensorflow.op.core.Skipgram: Sets the windowSize option.
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.experimental.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowSizeFuncOtherArguments - Variable in class org.tensorflow.op.data.GroupByWindowDataset.Inputs: The windowSizeFuncOtherArguments input
windowStride - Variable in class org.tensorflow.op.data.experimental.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStride - Variable in class org.tensorflow.op.data.SlidingWindowDataset.Inputs: A scalar representing the stride of the input elements of the sliding window.
windowStrides - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolution.Inputs: The stride of the sliding window for each spatial dimension of lhs.
windowStrides - Variable in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Inputs: The stride of the sliding window for each spatial dimension of lhs.
windowStrides(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the windowStrides option.
windowStrides(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the windowStrides option.
windowStrides(Long...) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the windowStrides option.
windowStrides(Long...) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the windowStrides option.
windowStrides(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolution.Options: Sets the windowStrides option.
windowStrides(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolution: Sets the windowStrides option.
windowStrides(List<Long>) - Method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid.Options: Sets the windowStrides option.
windowStrides(List<Long>) - Static method in class org.tensorflow.op.nn.UniformQuantizedConvolutionHybrid: Sets the windowStrides option.
withConfigProto(ConfigProto) - Method in class org.tensorflow.SavedModelBundle.Loader: Set configuration of the Session object created when loading the model.
withControlDependencies(Iterable<Op>) - Method in class org.tensorflow.op.NativeScope
withControlDependencies(Iterable<Op>) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencies(Iterable<Op>) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withControlDependencies(Op...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.NativeScope
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withControlDependencyOps(Iterable<Operation>) - Method in class org.tensorflow.op.OpScope
withControlDependencyOps(Iterable<Operation>) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided control dependencies.
withControlDependencyOps(Operation...) - Method in class org.tensorflow.op.Ops: Returns an API that adds operations to the graph with the provided control dependencies.
withDevice(DeviceSpec) - Method in class org.tensorflow.op.NativeScope
withDevice(DeviceSpec) - Method in class org.tensorflow.op.Ops: Returns an API that places the created operations on the device(s) matching the provided spec.
withDevice(DeviceSpec) - Method in class org.tensorflow.op.OpScope
withDevice(DeviceSpec) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided device specification for an op.
withFunction(SessionFunction) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save a function of this model.
withFunctions(SessionFunction...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Save multiple functions.
withInitScope() - Method in class org.tensorflow.op.NativeScope
withInitScope() - Method in class org.tensorflow.op.Ops: Returns an API that builds init operations.
withInitScope() - Method in class org.tensorflow.op.OpScope
withInitScope() - Method in interface org.tensorflow.op.Scope: Get an extension of this scope that generates initialization ops.
withName(String) - Method in class org.tensorflow.op.NativeScope
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.OpScope
withName(String) - Method in interface org.tensorflow.op.Scope: Return a new scope that uses the provided name for an op.
withNameAsSubScope(String) - Method in class org.tensorflow.op.NativeScope
withNameAsSubScope(String) - Method in class org.tensorflow.op.OpScope
withNameAsSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will be prefixed by this scope's op name (set by Scope.withName(String)), or the given default if it is unset.
withNewSession(Session) - Method in class org.tensorflow.SessionFunction: Get a new function with the same signature, but backed by a new session.
withRunOptions(RunOptions) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets options to use when executing model initialization operations.
withSession(Session) - Method in class org.tensorflow.SavedModelBundle.Exporter: Set the session to export, without adding any signatures.
withSignature(Signature) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add a signature to the model.
withSignatures(Signature...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Add multiple signatures to the model.
withSubScope(String) - Method in class org.tensorflow.op.NativeScope
withSubScope(String) - Method in class org.tensorflow.op.Ops: Returns an API that builds operations with the provided name prefix.
withSubScope(String) - Method in class org.tensorflow.op.OpScope
withSubScope(String) - Method in interface org.tensorflow.op.Scope: Returns a new scope where added operations will have the provided name prefix.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Exporter: Sets the set of tags that identify the specific graph in the saved model to save.
withTags(String...) - Method in class org.tensorflow.SavedModelBundle.Loader: Sets the set of tags that identify the specific graph in the saved model to load.
wordsPerEpoch() - Method in class org.tensorflow.op.core.Skipgram: Gets wordsPerEpoch.
workerHeartbeat(Operand<TString>) - Method in class org.tensorflow.op.TpuOps: Worker heartbeat op.
WorkerHeartbeat - Class in org.tensorflow.op.tpu: Worker heartbeat op.
WorkerHeartbeat(Operation) - Constructor for class org.tensorflow.op.tpu.WorkerHeartbeat
WorkerHeartbeat.Inputs - Class in org.tensorflow.op.tpu
wOut - Variable in class org.tensorflow.op.train.NegTrain.Inputs: output word embedding.
wrapDatasetVariant(Operand<? extends TType>) - Method in class org.tensorflow.op.DataOps: The WrapDatasetVariant operation
WrapDatasetVariant - Class in org.tensorflow.op.data: The WrapDatasetVariant operation
WrapDatasetVariant(Operation) - Constructor for class org.tensorflow.op.data.WrapDatasetVariant
WrapDatasetVariant.Inputs - Class in org.tensorflow.op.data
writeAudioSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<TFloat32>, Operand<TFloat32>, WriteAudioSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Writes an audio summary.
WriteAudioSummary - Class in org.tensorflow.op.summary: Writes an audio summary.
WriteAudioSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteAudioSummary
WriteAudioSummary.Inputs - Class in org.tensorflow.op.summary
WriteAudioSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteAudioSummary
writeFile(Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.IoOps: Writes contents to the file at input filename.
WriteFile - Class in org.tensorflow.op.io: Writes contents to the file at input filename.
WriteFile(Operation) - Constructor for class org.tensorflow.op.io.WriteFile
WriteFile.Inputs - Class in org.tensorflow.op.io
writeGraphSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: Writes a graph summary.
WriteGraphSummary - Class in org.tensorflow.op.summary: Writes a graph summary.
WriteGraphSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteGraphSummary
WriteGraphSummary.Inputs - Class in org.tensorflow.op.summary
writeHistogramSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TType>) - Method in class org.tensorflow.op.SummaryOps: Writes a histogram summary.
WriteHistogramSummary - Class in org.tensorflow.op.summary: Writes a histogram summary.
WriteHistogramSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteHistogramSummary
WriteHistogramSummary.Inputs - Class in org.tensorflow.op.summary
writeImageSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>, Operand<TUint8>, WriteImageSummary.Options...) - Method in class org.tensorflow.op.SummaryOps: Writes an image summary.
WriteImageSummary - Class in org.tensorflow.op.summary: Writes an image summary.
WriteImageSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteImageSummary
WriteImageSummary.Inputs - Class in org.tensorflow.op.summary
WriteImageSummary.Options - Class in org.tensorflow.op.summary: Optional attributes for WriteImageSummary
writer - Variable in class org.tensorflow.op.summary.CloseSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryDbWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.CreateSummaryFileWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.FlushSummaryWriter.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.ImportEvent.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteAudioSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteGraphSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteHistogramSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteImageSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteRawProtoSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteScalarSummary.Inputs: The writer input
writer - Variable in class org.tensorflow.op.summary.WriteSummary.Inputs: The writer input
writer() - Method in class org.tensorflow.op.summary.SummaryWriter: Gets writer.
writeRawProtoSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: Writes a serialized proto summary.
WriteRawProtoSummary - Class in org.tensorflow.op.summary: Writes a serialized proto summary.
WriteRawProtoSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteRawProtoSummary
WriteRawProtoSummary.Inputs - Class in org.tensorflow.op.summary
writerPrefix - Variable in class org.tensorflow.op.data.SnapshotDataset.Inputs: The writerPrefix attribute
writerPrefix(String) - Method in class org.tensorflow.op.data.SnapshotDataset.Options: Sets the writerPrefix option.
writerPrefix(String) - Static method in class org.tensorflow.op.data.SnapshotDataset: Sets the writerPrefix option.
writeScalarSummary(Operand<? extends TType>, Operand<TInt64>, Operand<TString>, Operand<? extends TNumber>) - Method in class org.tensorflow.op.SummaryOps: Writes a scalar summary.
WriteScalarSummary - Class in org.tensorflow.op.summary: Writes a scalar summary.
WriteScalarSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteScalarSummary
WriteScalarSummary.Inputs - Class in org.tensorflow.op.summary
writeSummary(Operand<? extends TType>, Operand<TInt64>, Operand<? extends TType>, Operand<TString>, Operand<TString>) - Method in class org.tensorflow.op.SummaryOps: Writes a tensor summary.
WriteSummary - Class in org.tensorflow.op.summary: Writes a tensor summary.
WriteSummary(Operation) - Constructor for class org.tensorflow.op.summary.WriteSummary
WriteSummary.Inputs - Class in org.tensorflow.op.summary
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The wRu input
wRu - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The wRu input

X

x - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.Invert.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The x input
x - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The x input
x - Variable in class org.tensorflow.op.core.DeepCopy.Inputs: The source tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceAdd.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceSub.Inputs: A Tensor of type T.
x - Variable in class org.tensorflow.op.core.InplaceUpdate.Inputs: A tensor of type T.
x - Variable in class org.tensorflow.op.core.OnesLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
x - Variable in class org.tensorflow.op.core.Unique.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.UniqueWithCounts.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.core.ZerosLike.Inputs: a tensor of type T.
x - Variable in class org.tensorflow.op.dtypes.Cast.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.ConjugateTranspose.Inputs: The x input
x - Variable in class org.tensorflow.op.linalg.Transpose.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Abs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Acosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Add.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Asinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atan2.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Atanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.BesselI1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Betainc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ceil.Inputs: The x input
x - Variable in class org.tensorflow.op.math.ComplexAbs.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cosh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Cumprod.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Cumsum.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.CumulativeLogsumexp.Inputs: A Tensor.
x - Variable in class org.tensorflow.op.math.Digamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Div.Inputs: The x input
x - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Equal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Erfc.Inputs: The x input
x - Variable in class org.tensorflow.op.math.erfinv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Exp.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Expm1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Floor.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Greater.Inputs: The x input
x - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Igammac.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IgammaGradA.Inputs: The x input
x - Variable in class org.tensorflow.op.math.InvertPermutation.Inputs: 1-D.
x - Variable in class org.tensorflow.op.math.IsFinite.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsInf.Inputs: The x input
x - Variable in class org.tensorflow.op.math.IsNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Less.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Lgamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Log1p.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.LogicalNot.Inputs: A Tensor of type bool.
x - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Maximum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Minimum.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Mul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Ndtri.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Neg.Inputs: The x input
x - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Polygamma.Inputs: The x input
x - Variable in class org.tensorflow.op.math.PopulationCount.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Pow.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The x input
x - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The x input
x - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Reciprocal.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Round.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Rsqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sigmoid.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sign.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sinh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselJ1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK0e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselK1e.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY0.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.BesselY1.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Dawsn.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Expint.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelCos.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.FresnelSin.Inputs: The x input
x - Variable in class org.tensorflow.op.math.special.Spence.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sqrt.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Square.Inputs: The x input
x - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Sub.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tan.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Tanh.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The x input
x - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The x input
x - Variable in class org.tensorflow.op.math.Zeta.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.BlockLSTM.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.BlockLSTMGrad.Inputs: The sequence input to the LSTM, shape (timelen, batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.DataFormatDimMap.Inputs: A Tensor with each element as a dimension index in source data format.
x - Variable in class org.tensorflow.op.nn.DataFormatVecPermute.Inputs: Tensor of rank 1 or 2 in source data format.
x - Variable in class org.tensorflow.op.nn.FusedBatchNorm.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for input data.
x - Variable in class org.tensorflow.op.nn.GRUBlockCell.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.GRUBlockCellGrad.Inputs: The x input
x - Variable in class org.tensorflow.op.nn.LSTMBlockCell.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.LSTMBlockCellGrad.Inputs: The input to the LSTM cell, shape (batch_size, num_inputs).
x - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: A 4D input Tensor.
x - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_x, c_x].
x1 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x1 input
x2 - Variable in class org.tensorflow.op.math.NextAfter.Inputs: The x2 input
xBackprop() - Method in class org.tensorflow.op.nn.FusedBatchNormGrad: Gets xBackprop.
xDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Horizontal pixels per density unit.
xDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xDensity option.
xDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xDensity option.
xdivy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x / y otherwise, elementwise.
Xdivy(Operation) - Constructor for class org.tensorflow.op.math.Xdivy
Xdivy.Inputs<T extends TType> - Class in org.tensorflow.op.math
xGrad() - Method in class org.tensorflow.op.nn.BlockLSTMGrad: Gets xGrad.
xla - Variable in class org.tensorflow.op.Ops
xlaHostCompute(Iterable<Operand<?>>, List<Class<? extends TType>>, List<String>, List<Shape>, ConcreteFunction, String, XlaHostCompute.Options...) - Method in class org.tensorflow.op.XlaOps: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute - Class in org.tensorflow.op.xla: A pseudo-op to represent host-side computation in an XLA program.
XlaHostCompute(Operation) - Constructor for class org.tensorflow.op.xla.XlaHostCompute
XlaHostCompute.Inputs - Class in org.tensorflow.op.xla
XlaHostCompute.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaHostCompute
XlaOps - Class in org.tensorflow.op: An API for building xla operations as Ops
xlaRecvFromHost(Class<T>, Shape, String) - Method in class org.tensorflow.op.XlaOps: An op to receive a tensor from the host.
XlaRecvFromHost<T extends TType> - Class in org.tensorflow.op.xla: An op to receive a tensor from the host.
XlaRecvFromHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvFromHost
XlaRecvFromHost.Inputs - Class in org.tensorflow.op.xla
xlaRecvTPUEmbeddingActivations(Operand<? extends TType>, Long, String) - Method in class org.tensorflow.op.XlaOps: An op that receives embedding activations on the TPU.
XlaRecvTPUEmbeddingActivations - Class in org.tensorflow.op.xla: An op that receives embedding activations on the TPU.
XlaRecvTPUEmbeddingActivations(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingActivations
XlaRecvTPUEmbeddingActivations.Inputs - Class in org.tensorflow.op.xla
xlaRecvTPUEmbeddingDeduplicationData(String) - Method in class org.tensorflow.op.XlaOps: Receives deduplication data (indices and weights) from the embedding core.
XlaRecvTPUEmbeddingDeduplicationData - Class in org.tensorflow.op.xla: Receives deduplication data (indices and weights) from the embedding core.
XlaRecvTPUEmbeddingDeduplicationData(Operation) - Constructor for class org.tensorflow.op.xla.XlaRecvTPUEmbeddingDeduplicationData
XlaRecvTPUEmbeddingDeduplicationData.Inputs - Class in org.tensorflow.op.xla
xlaSendToHost(Operand<? extends TType>, String) - Method in class org.tensorflow.op.XlaOps: An op to send a tensor to the host.
XlaSendToHost - Class in org.tensorflow.op.xla: An op to send a tensor to the host.
XlaSendToHost(Operation) - Constructor for class org.tensorflow.op.xla.XlaSendToHost
XlaSendToHost.Inputs - Class in org.tensorflow.op.xla
xlaSendTPUEmbeddingGradients(Iterable<Operand<TFloat32>>, Iterable<Operand<TFloat32>>, Operand<? extends TType>, String, XlaSendTPUEmbeddingGradients.Options...) - Method in class org.tensorflow.op.XlaOps: An op that performs gradient updates of embedding tables.
XlaSendTPUEmbeddingGradients - Class in org.tensorflow.op.xla: An op that performs gradient updates of embedding tables.
XlaSendTPUEmbeddingGradients(Operation) - Constructor for class org.tensorflow.op.xla.XlaSendTPUEmbeddingGradients
XlaSendTPUEmbeddingGradients.Inputs - Class in org.tensorflow.op.xla
XlaSendTPUEmbeddingGradients.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSendTPUEmbeddingGradients
xlaSparseCoreAdagrad(Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdagrad operation
XlaSparseCoreAdagrad - Class in org.tensorflow.op.xla: The XlaSparseCoreAdagrad operation
XlaSparseCoreAdagrad(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagrad
XlaSparseCoreAdagrad.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreAdagradMomentum(Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean, Float, Float) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdagradMomentum operation
XlaSparseCoreAdagradMomentum - Class in org.tensorflow.op.xla: The XlaSparseCoreAdagradMomentum operation
XlaSparseCoreAdagradMomentum(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdagradMomentum
XlaSparseCoreAdagradMomentum.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreAdam(Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreAdam operation
XlaSparseCoreAdam - Class in org.tensorflow.op.xla: The XlaSparseCoreAdam operation
XlaSparseCoreAdam(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreAdam
XlaSparseCoreAdam.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreFtrl(Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long, Boolean, Float) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreFtrl operation
XlaSparseCoreFtrl - Class in org.tensorflow.op.xla: The XlaSparseCoreFtrl operation
XlaSparseCoreFtrl(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreFtrl
XlaSparseCoreFtrl.Inputs - Class in org.tensorflow.op.xla
xlaSparseCoreSgd(Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseCoreSgd operation
XlaSparseCoreSgd - Class in org.tensorflow.op.xla: The XlaSparseCoreSgd operation
XlaSparseCoreSgd(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseCoreSgd
XlaSparseCoreSgd.Inputs - Class in org.tensorflow.op.xla
xlaSparseDenseMatmul(Operand<TInt32>, Operand<? extends TType>, Operand<TFloat32>, Operand<? extends TType>, Operand<TFloat32>, Long, Long, Long) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmul operation
XlaSparseDenseMatmul - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmul operation
XlaSparseDenseMatmul(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmul
XlaSparseDenseMatmul.Inputs - Class in org.tensorflow.op.xla
xlaSparseDenseMatmulGradWithAdagradAndCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, String, XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradAndCsrInput
XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradAndCsrInput
xlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput operation
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput
xlaSparseDenseMatmulGradWithAdamAndCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, String, XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithAdamAndCsrInput operation
XlaSparseDenseMatmulGradWithAdamAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithAdamAndCsrInput operation
XlaSparseDenseMatmulGradWithAdamAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithAdamAndCsrInput
XlaSparseDenseMatmulGradWithAdamAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithAdamAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithAdamAndCsrInput
xlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Boolean, Float, Float, Float, Float, String, XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation
XlaSparseDenseMatmulGradWithFtrlAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithFtrlAndCsrInput operation
XlaSparseDenseMatmulGradWithFtrlAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithFtrlAndCsrInput
XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithFtrlAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithFtrlAndCsrInput
xlaSparseDenseMatmulGradWithSgdAndCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, String, XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options...) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulGradWithSgdAndCsrInput operation
XlaSparseDenseMatmulGradWithSgdAndCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulGradWithSgdAndCsrInput operation
XlaSparseDenseMatmulGradWithSgdAndCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulGradWithSgdAndCsrInput
XlaSparseDenseMatmulGradWithSgdAndCsrInput.Inputs - Class in org.tensorflow.op.xla
XlaSparseDenseMatmulGradWithSgdAndCsrInput.Options - Class in org.tensorflow.op.xla: Optional attributes for XlaSparseDenseMatmulGradWithSgdAndCsrInput
xlaSparseDenseMatmulWithCsrInput(Operand<TInt32>, Operand<TInt32>, Operand<TInt32>, Operand<TFloat32>, Operand<TFloat32>, Operand<TInt32>, Long, Float, Float, Long, String) - Method in class org.tensorflow.op.XlaOps: The XlaSparseDenseMatmulWithCsrInput operation
XlaSparseDenseMatmulWithCsrInput - Class in org.tensorflow.op.xla: The XlaSparseDenseMatmulWithCsrInput operation
XlaSparseDenseMatmulWithCsrInput(Operation) - Constructor for class org.tensorflow.op.xla.XlaSparseDenseMatmulWithCsrInput
XlaSparseDenseMatmulWithCsrInput.Inputs - Class in org.tensorflow.op.xla
xlog1py(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.
Xlog1py(Operation) - Constructor for class org.tensorflow.op.math.Xlog1py
Xlog1py.Inputs<T extends TType> - Class in org.tensorflow.op.math
xlogy(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy<T extends TType> - Class in org.tensorflow.op.math: Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
Xlogy(Operation) - Constructor for class org.tensorflow.op.math.Xlogy
Xlogy.Inputs<T extends TType> - Class in org.tensorflow.op.math
xMax - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the highest quantized input.
xMin - Variable in class org.tensorflow.op.nn.QuantizedInstanceNorm.Inputs: The value represented by the lowest quantized input.
xmpMetadata - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: If not empty, embed this XMP metadata in the image header.
xmpMetadata(String) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the xmpMetadata option.
xmpMetadata(String) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the xmpMetadata option.

Y

y - Variable in class org.tensorflow.op.bitwise.BitwiseAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseOr.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.BitwiseXor.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.LeftShift.Inputs: The y input
y - Variable in class org.tensorflow.op.bitwise.RightShift.Inputs: The y input
y - Variable in class org.tensorflow.op.core.SetDiff1d.Inputs: 1-D.
y - Variable in class org.tensorflow.op.math.Add.Inputs: The y input
y - Variable in class org.tensorflow.op.math.ApproximateEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Atan2.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Div.Inputs: The y input
y - Variable in class org.tensorflow.op.math.DivNoNan.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Equal.Inputs: The y input
y - Variable in class org.tensorflow.op.math.FloorDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.FloorMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Greater.Inputs: The y input
y - Variable in class org.tensorflow.op.math.GreaterEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Less.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LessEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LogicalAnd.Inputs: The y input
y - Variable in class org.tensorflow.op.math.LogicalOr.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Maximum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Minimum.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Mul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.MulNoNan.Inputs: The y input
y - Variable in class org.tensorflow.op.math.NotEqual.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Pow.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedAdd.Inputs: The y input
y - Variable in class org.tensorflow.op.math.QuantizedMul.Inputs: The y input
y - Variable in class org.tensorflow.op.math.RealDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.ReciprocalGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.RsqrtGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SigmoidGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SqrtGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.SquaredDifference.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Sub.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TanhGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateDiv.Inputs: The y input
y - Variable in class org.tensorflow.op.math.TruncateMod.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xdivy.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlog1py.Inputs: The y input
y - Variable in class org.tensorflow.op.math.Xlogy.Inputs: The y input
y - Variable in class org.tensorflow.op.nn.InvGrad.Inputs: The y input
y - Variable in class org.tensorflow.op.train.BatchMatMul.Inputs: 2-D or higher with shape [..., r_y, c_y].
y() - Method in class org.tensorflow.op.bitwise.Invert: Gets y.
y() - Method in class org.tensorflow.op.core.DeepCopy: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceAdd: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceSub: Gets y.
y() - Method in class org.tensorflow.op.core.InplaceUpdate: Gets y.
y() - Method in class org.tensorflow.op.core.OnesLike: Gets y.
y() - Method in class org.tensorflow.op.core.Unique: Gets y.
y() - Method in class org.tensorflow.op.core.UniqueWithCounts: Gets y.
y() - Method in class org.tensorflow.op.core.ZerosLike: Gets y.
y() - Method in class org.tensorflow.op.dtypes.Cast: Gets y.
y() - Method in class org.tensorflow.op.linalg.ConjugateTranspose: Gets y.
y() - Method in class org.tensorflow.op.linalg.Transpose: Gets y.
y() - Method in class org.tensorflow.op.math.Abs: Gets y.
y() - Method in class org.tensorflow.op.math.Acos: Gets y.
y() - Method in class org.tensorflow.op.math.Acosh: Gets y.
y() - Method in class org.tensorflow.op.math.Asin: Gets y.
y() - Method in class org.tensorflow.op.math.Asinh: Gets y.
y() - Method in class org.tensorflow.op.math.Atan: Gets y.
y() - Method in class org.tensorflow.op.math.Atanh: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI0e: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1: Gets y.
y() - Method in class org.tensorflow.op.math.BesselI1e: Gets y.
y() - Method in class org.tensorflow.op.math.Ceil: Gets y.
y() - Method in class org.tensorflow.op.math.ComplexAbs: Gets y.
y() - Method in class org.tensorflow.op.math.Cos: Gets y.
y() - Method in class org.tensorflow.op.math.Cosh: Gets y.
y() - Method in class org.tensorflow.op.math.Digamma: Gets y.
y() - Method in class org.tensorflow.op.math.Erf: Gets y.
y() - Method in class org.tensorflow.op.math.Erfc: Gets y.
y() - Method in class org.tensorflow.op.math.erfinv: Gets y.
y() - Method in class org.tensorflow.op.math.Exp: Gets y.
y() - Method in class org.tensorflow.op.math.Expm1: Gets y.
y() - Method in class org.tensorflow.op.math.Floor: Gets y.
y() - Method in class org.tensorflow.op.math.InvertPermutation: Gets y.
y() - Method in class org.tensorflow.op.math.IsFinite: Gets y.
y() - Method in class org.tensorflow.op.math.IsInf: Gets y.
y() - Method in class org.tensorflow.op.math.IsNan: Gets y.
y() - Method in class org.tensorflow.op.math.Lgamma: Gets y.
y() - Method in class org.tensorflow.op.math.Log: Gets y.
y() - Method in class org.tensorflow.op.math.Log1p: Gets y.
y() - Method in class org.tensorflow.op.math.LogicalNot: Gets y.
y() - Method in class org.tensorflow.op.math.Ndtri: Gets y.
y() - Method in class org.tensorflow.op.math.Neg: Gets y.
y() - Method in class org.tensorflow.op.math.PopulationCount: Gets y.
y() - Method in class org.tensorflow.op.math.Reciprocal: Gets y.
y() - Method in class org.tensorflow.op.math.Rint: Gets y.
y() - Method in class org.tensorflow.op.math.Round: Gets y.
y() - Method in class org.tensorflow.op.math.Rsqrt: Gets y.
y() - Method in class org.tensorflow.op.math.Sigmoid: Gets y.
y() - Method in class org.tensorflow.op.math.Sign: Gets y.
y() - Method in class org.tensorflow.op.math.Sin: Gets y.
y() - Method in class org.tensorflow.op.math.Sinh: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselJ1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK0e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselK1e: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY0: Gets y.
y() - Method in class org.tensorflow.op.math.special.BesselY1: Gets y.
y() - Method in class org.tensorflow.op.math.special.Dawsn: Gets y.
y() - Method in class org.tensorflow.op.math.special.Expint: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelCos: Gets y.
y() - Method in class org.tensorflow.op.math.special.FresnelSin: Gets y.
y() - Method in class org.tensorflow.op.math.special.Spence: Gets y.
y() - Method in class org.tensorflow.op.math.Sqrt: Gets y.
y() - Method in class org.tensorflow.op.math.Square: Gets y.
y() - Method in class org.tensorflow.op.math.Tan: Gets y.
y() - Method in class org.tensorflow.op.math.Tanh: Gets y.
y() - Method in class org.tensorflow.op.nn.DataFormatDimMap: Gets y.
y() - Method in class org.tensorflow.op.nn.DataFormatVecPermute: Gets y.
y() - Method in class org.tensorflow.op.nn.FusedBatchNorm: Gets y.
y() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets y.
yBackprop - Variable in class org.tensorflow.op.nn.FusedBatchNormGrad.Inputs: A 4D Tensor for the gradient with respect to y.
yDensity - Variable in class org.tensorflow.op.image.EncodeJpeg.Inputs: Vertical pixels per density unit.
yDensity(Long) - Method in class org.tensorflow.op.image.EncodeJpeg.Options: Sets the yDensity option.
yDensity(Long) - Static method in class org.tensorflow.op.image.EncodeJpeg: Sets the yDensity option.
yMax() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMax.
yMin() - Method in class org.tensorflow.op.nn.QuantizedInstanceNorm: Gets yMin.

Z

z() - Method in class org.tensorflow.op.bitwise.BitwiseAnd: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseOr: Gets z.
z() - Method in class org.tensorflow.op.bitwise.BitwiseXor: Gets z.
z() - Method in class org.tensorflow.op.bitwise.LeftShift: Gets z.
z() - Method in class org.tensorflow.op.bitwise.RightShift: Gets z.
z() - Method in class org.tensorflow.op.math.Add: Gets z.
z() - Method in class org.tensorflow.op.math.ApproximateEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Atan2: Gets z.
z() - Method in class org.tensorflow.op.math.Betainc: Gets z.
z() - Method in class org.tensorflow.op.math.Div: Gets z.
z() - Method in class org.tensorflow.op.math.DivNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.Equal: Gets z.
z() - Method in class org.tensorflow.op.math.FloorDiv: Gets z.
z() - Method in class org.tensorflow.op.math.FloorMod: Gets z.
z() - Method in class org.tensorflow.op.math.Greater: Gets z.
z() - Method in class org.tensorflow.op.math.GreaterEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Igamma: Gets z.
z() - Method in class org.tensorflow.op.math.Igammac: Gets z.
z() - Method in class org.tensorflow.op.math.IgammaGradA: Gets z.
z() - Method in class org.tensorflow.op.math.Less: Gets z.
z() - Method in class org.tensorflow.op.math.LessEqual: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalAnd: Gets z.
z() - Method in class org.tensorflow.op.math.LogicalOr: Gets z.
z() - Method in class org.tensorflow.op.math.Maximum: Gets z.
z() - Method in class org.tensorflow.op.math.Minimum: Gets z.
z() - Method in class org.tensorflow.op.math.Mod: Gets z.
z() - Method in class org.tensorflow.op.math.Mul: Gets z.
z() - Method in class org.tensorflow.op.math.MulNoNan: Gets z.
z() - Method in class org.tensorflow.op.math.NotEqual: Gets z.
z() - Method in class org.tensorflow.op.math.Polygamma: Gets z.
z() - Method in class org.tensorflow.op.math.Pow: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedAdd: Gets z.
z() - Method in class org.tensorflow.op.math.QuantizedMul: Gets z.
z() - Method in class org.tensorflow.op.math.RealDiv: Gets z.
z() - Method in class org.tensorflow.op.math.ReciprocalGrad: Gets z.
z() - Method in class org.tensorflow.op.math.RsqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SigmoidGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SqrtGrad: Gets z.
z() - Method in class org.tensorflow.op.math.SquaredDifference: Gets z.
z() - Method in class org.tensorflow.op.math.Sub: Gets z.
z() - Method in class org.tensorflow.op.math.TanhGrad: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateDiv: Gets z.
z() - Method in class org.tensorflow.op.math.TruncateMod: Gets z.
z() - Method in class org.tensorflow.op.math.Xdivy: Gets z.
z() - Method in class org.tensorflow.op.math.Xlog1py: Gets z.
z() - Method in class org.tensorflow.op.math.Xlogy: Gets z.
z() - Method in class org.tensorflow.op.math.Zeta: Gets z.
z() - Method in class org.tensorflow.op.nn.InvGrad: Gets z.
zeroPoints - Variable in class org.tensorflow.op.core.UniformQuantizedClipByValue.Inputs: The int32 value(s) used as zero_point(s) when quantizing operand, min and max.
zeroPoints - Variable in class org.tensorflow.op.quantization.UniformDequantize.Inputs: The int32 value(s) used as zero_point(s) when quantizing original data that input represents.
zeroPoints - Variable in class org.tensorflow.op.quantization.UniformQuantize.Inputs: The int32 value(s) to use as zero_point(s) to quantize input.
zeros(Operand<? extends TNumber>, Class<T>) - Method in class org.tensorflow.op.Ops: Creates a zeroed tensor given its type and shape.
Zeros<T extends TType> - Class in org.tensorflow.op.core: An operator creating a constant initialized with zeros of the shape given by `dims`.
zerosLike(Operand<T>) - Method in class org.tensorflow.op.Ops: Returns a tensor of zeros with the same shape and type as x.
ZerosLike<T extends TType> - Class in org.tensorflow.op.core: Returns a tensor of zeros with the same shape and type as x.
ZerosLike(Operation) - Constructor for class org.tensorflow.op.core.ZerosLike
ZerosLike.Inputs<T extends TType> - Class in org.tensorflow.op.core
zeta(Operand<T>, Operand<T>) - Method in class org.tensorflow.op.MathOps: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta<T extends TNumber> - Class in org.tensorflow.op.math: Compute the Hurwitz zeta function \(\zeta(x, q)\).
Zeta(Operation) - Constructor for class org.tensorflow.op.math.Zeta
Zeta.Inputs<T extends TNumber> - Class in org.tensorflow.op.math
zipDataset(Iterable<Operand<? extends TType>>, List<Class<? extends TType>>, List<Shape>, ZipDataset.Options...) - Method in class org.tensorflow.op.DataOps: Creates a dataset that zips together input_datasets.
ZipDataset - Class in org.tensorflow.op.data: Creates a dataset that zips together input_datasets.
ZipDataset(Operation) - Constructor for class org.tensorflow.op.data.ZipDataset
ZipDataset.Inputs - Class in org.tensorflow.op.data
ZipDataset.Options - Class in org.tensorflow.op.data: Optional attributes for ZipDataset

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