Module ops

Expand description

This module exposes functions for building standard operations.

Each operation has a struct which can be used as a builder and allows setting optional attributes:

MatMul::new().transpose_a(true).build(a, b, &mut scope)?;

and a function which is shorter when no attributes need to be set:

mat_mul(a, b, &mut scope)

Note that for some ops, the builder may always be required, because the op has required attributes with no default specified.

Structs§

Abort: Builder for the Abort operation.
AbortInst: An instance of ‘Abort’ Operation with it’s Outputs and Inputs exposed as methods.
Abs: Builder for the Abs operation.
AbsInst: An instance of ‘Abs’ Operation with it’s Outputs and Inputs exposed as methods.
AccumulateNV2: Builder for the AccumulateNV2 operation.
AccumulateNV2Inst: An instance of ‘AccumulateNV2’ Operation with it’s Outputs and Inputs exposed as methods.
AccumulatorApplyGradient: Builder for the AccumulatorApplyGradient operation.
AccumulatorApplyGradientInst: An instance of ‘AccumulatorApplyGradient’ Operation with it’s Outputs and Inputs exposed as methods.
AccumulatorNumAccumulated: Builder for the AccumulatorNumAccumulated operation.
AccumulatorNumAccumulatedInst: An instance of ‘AccumulatorNumAccumulated’ Operation with it’s Outputs and Inputs exposed as methods.
AccumulatorSetGlobalStep: Builder for the AccumulatorSetGlobalStep operation.
AccumulatorSetGlobalStepInst: An instance of ‘AccumulatorSetGlobalStep’ Operation with it’s Outputs and Inputs exposed as methods.
AccumulatorTakeGradient: Builder for the AccumulatorTakeGradient operation.
AccumulatorTakeGradientInst: An instance of ‘AccumulatorTakeGradient’ Operation with it’s Outputs and Inputs exposed as methods.
Acos: Builder for the Acos operation.
AcosInst: An instance of ‘Acos’ Operation with it’s Outputs and Inputs exposed as methods.
Acosh: Builder for the Acosh operation.
AcoshInst: An instance of ‘Acosh’ Operation with it’s Outputs and Inputs exposed as methods.
Add: Builder for the Add operation.
AddInst: An instance of ‘Add’ Operation with it’s Outputs and Inputs exposed as methods.
AddManySparseToTensorsMap: Builder for the AddManySparseToTensorsMap operation.
AddManySparseToTensorsMapInst: An instance of ‘AddManySparseToTensorsMap’ Operation with it’s Outputs and Inputs exposed as methods.
AddN: Builder for the AddN operation.
AddNInst: An instance of ‘AddN’ Operation with it’s Outputs and Inputs exposed as methods.
AddSparseToTensorsMap: Builder for the AddSparseToTensorsMap operation.
AddSparseToTensorsMapInst: An instance of ‘AddSparseToTensorsMap’ Operation with it’s Outputs and Inputs exposed as methods.
AddV2: Builder for the AddV2 operation.
AddV2Inst: An instance of ‘AddV2’ Operation with it’s Outputs and Inputs exposed as methods.
AdjustContrast: Builder for the AdjustContrast operation.
AdjustContrastInst: An instance of ‘AdjustContrast’ Operation with it’s Outputs and Inputs exposed as methods.
AdjustContrastv2: Builder for the AdjustContrastv2 operation.
AdjustContrastv2Inst: An instance of ‘AdjustContrastv2’ Operation with it’s Outputs and Inputs exposed as methods.
AdjustHue: Builder for the AdjustHue operation.
AdjustHueInst: An instance of ‘AdjustHue’ Operation with it’s Outputs and Inputs exposed as methods.
AdjustSaturation: Builder for the AdjustSaturation operation.
AdjustSaturationInst: An instance of ‘AdjustSaturation’ Operation with it’s Outputs and Inputs exposed as methods.
All: Builder for the All operation.
AllCandidateSampler: Builder for the AllCandidateSampler operation.
AllCandidateSamplerInst: An instance of ‘AllCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
AllInst: An instance of ‘All’ Operation with it’s Outputs and Inputs exposed as methods.
AllToAll: Builder for the AllToAll operation.
AllToAllInst: An instance of ‘AllToAll’ Operation with it’s Outputs and Inputs exposed as methods.
Angle: Builder for the Angle operation.
AngleInst: An instance of ‘Angle’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousHashTable: Builder for the AnonymousHashTable operation.
AnonymousHashTableInst: An instance of ‘AnonymousHashTable’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousIterator: Builder for the AnonymousIterator operation.
AnonymousIteratorInst: An instance of ‘AnonymousIterator’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousIteratorV2: Builder for the AnonymousIteratorV2 operation.
AnonymousIteratorV3: Builder for the AnonymousIteratorV3 operation.
AnonymousIteratorV2Inst: An instance of ‘AnonymousIteratorV2’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousIteratorV3Inst: An instance of ‘AnonymousIteratorV3’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMemoryCache: Builder for the AnonymousMemoryCache operation.
AnonymousMemoryCacheInst: An instance of ‘AnonymousMemoryCache’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMultiDeviceIterator: Builder for the AnonymousMultiDeviceIterator operation.
AnonymousMultiDeviceIteratorInst: An instance of ‘AnonymousMultiDeviceIterator’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMultiDeviceIteratorV3: Builder for the AnonymousMultiDeviceIteratorV3 operation.
AnonymousMultiDeviceIteratorV3Inst: An instance of ‘AnonymousMultiDeviceIteratorV3’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMutableDenseHashTable: Builder for the AnonymousMutableDenseHashTable operation.
AnonymousMutableDenseHashTableInst: An instance of ‘AnonymousMutableDenseHashTable’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMutableHashTable: Builder for the AnonymousMutableHashTable operation.
AnonymousMutableHashTableInst: An instance of ‘AnonymousMutableHashTable’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousMutableHashTableOfTensors: Builder for the AnonymousMutableHashTableOfTensors operation.
AnonymousMutableHashTableOfTensorsInst: An instance of ‘AnonymousMutableHashTableOfTensors’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousRandomSeedGenerator: Builder for the AnonymousRandomSeedGenerator operation.
AnonymousRandomSeedGeneratorInst: An instance of ‘AnonymousRandomSeedGenerator’ Operation with it’s Outputs and Inputs exposed as methods.
AnonymousSeedGenerator: Builder for the AnonymousSeedGenerator operation.
AnonymousSeedGeneratorInst: An instance of ‘AnonymousSeedGenerator’ Operation with it’s Outputs and Inputs exposed as methods.
Any: Builder for the Any operation.
AnyInst: An instance of ‘Any’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdaMax: Builder for the ApplyAdaMax operation.
ApplyAdaMaxInst: An instance of ‘ApplyAdaMax’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdadelta: Builder for the ApplyAdadelta operation.
ApplyAdadeltaInst: An instance of ‘ApplyAdadelta’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdagrad: Builder for the ApplyAdagrad operation.
ApplyAdagradDA: Builder for the ApplyAdagradDA operation.
ApplyAdagradDAInst: An instance of ‘ApplyAdagradDA’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdagradInst: An instance of ‘ApplyAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdagradV2: Builder for the ApplyAdagradV2 operation.
ApplyAdagradV2Inst: An instance of ‘ApplyAdagradV2’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAdam: Builder for the ApplyAdam operation.
ApplyAdamInst: An instance of ‘ApplyAdam’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyAddSign: Builder for the ApplyAddSign operation.
ApplyAddSignInst: An instance of ‘ApplyAddSign’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyCenteredRMSProp: Builder for the ApplyCenteredRMSProp operation.
ApplyCenteredRMSPropInst: An instance of ‘ApplyCenteredRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyFtrl: Builder for the ApplyFtrl operation.
ApplyFtrlInst: An instance of ‘ApplyFtrl’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyFtrlV2: Builder for the ApplyFtrlV2 operation.
ApplyFtrlV2Inst: An instance of ‘ApplyFtrlV2’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyGradientDescent: Builder for the ApplyGradientDescent operation.
ApplyGradientDescentInst: An instance of ‘ApplyGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyMomentum: Builder for the ApplyMomentum operation.
ApplyMomentumInst: An instance of ‘ApplyMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyPowerSign: Builder for the ApplyPowerSign operation.
ApplyPowerSignInst: An instance of ‘ApplyPowerSign’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyProximalAdagrad: Builder for the ApplyProximalAdagrad operation.
ApplyProximalAdagradInst: An instance of ‘ApplyProximalAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyProximalGradientDescent: Builder for the ApplyProximalGradientDescent operation.
ApplyProximalGradientDescentInst: An instance of ‘ApplyProximalGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
ApplyRMSProp: Builder for the ApplyRMSProp operation.
ApplyRMSPropInst: An instance of ‘ApplyRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ApproxTopK: Builder for the ApproxTopK operation.
ApproxTopKInst: An instance of ‘ApproxTopK’ Operation with it’s Outputs and Inputs exposed as methods.
ApproximateEqual: Builder for the ApproximateEqual operation.
ApproximateEqualInst: An instance of ‘ApproximateEqual’ Operation with it’s Outputs and Inputs exposed as methods.
ArgMax: Builder for the ArgMax operation.
ArgMaxInst: An instance of ‘ArgMax’ Operation with it’s Outputs and Inputs exposed as methods.
ArgMin: Builder for the ArgMin operation.
ArgMinInst: An instance of ‘ArgMin’ Operation with it’s Outputs and Inputs exposed as methods.
AsString: Builder for the AsString operation.
AsStringInst: An instance of ‘AsString’ Operation with it’s Outputs and Inputs exposed as methods.
Asin: Builder for the Asin operation.
AsinInst: An instance of ‘Asin’ Operation with it’s Outputs and Inputs exposed as methods.
Asinh: Builder for the Asinh operation.
AsinhInst: An instance of ‘Asinh’ Operation with it’s Outputs and Inputs exposed as methods.
Assert: Builder for the Assert operation.
AssertCardinalityDataset: Builder for the AssertCardinalityDataset operation.
AssertCardinalityDatasetInst: An instance of ‘AssertCardinalityDataset’ Operation with it’s Outputs and Inputs exposed as methods.
AssertInst: An instance of ‘Assert’ Operation with it’s Outputs and Inputs exposed as methods.
AssertNextDataset: Builder for the AssertNextDataset operation.
AssertNextDatasetInst: An instance of ‘AssertNextDataset’ Operation with it’s Outputs and Inputs exposed as methods.
AssertPrevDataset: Builder for the AssertPrevDataset operation.
AssertPrevDatasetInst: An instance of ‘AssertPrevDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Assign: Builder for the Assign operation.
AssignAdd: Builder for the AssignAdd operation.
AssignAddInst: An instance of ‘AssignAdd’ Operation with it’s Outputs and Inputs exposed as methods.
AssignAddVariableOp: Builder for the AssignAddVariableOp operation.
AssignAddVariableOpInst: An instance of ‘AssignAddVariableOp’ Operation with it’s Outputs and Inputs exposed as methods.
AssignInst: An instance of ‘Assign’ Operation with it’s Outputs and Inputs exposed as methods.
AssignSub: Builder for the AssignSub operation.
AssignSubInst: An instance of ‘AssignSub’ Operation with it’s Outputs and Inputs exposed as methods.
AssignSubVariableOp: Builder for the AssignSubVariableOp operation.
AssignSubVariableOpInst: An instance of ‘AssignSubVariableOp’ Operation with it’s Outputs and Inputs exposed as methods.
AssignVariableOp: Builder for the AssignVariableOp operation.
AssignVariableOpInst: An instance of ‘AssignVariableOp’ Operation with it’s Outputs and Inputs exposed as methods.
AssignVariableXlaConcatND: Builder for the AssignVariableXlaConcatND operation.
AssignVariableXlaConcatNDInst: An instance of ‘AssignVariableXlaConcatND’ Operation with it’s Outputs and Inputs exposed as methods.
Atan: Builder for the Atan operation.
Atan2: Builder for the Atan2 operation.
Atan2Inst: An instance of ‘Atan2’ Operation with it’s Outputs and Inputs exposed as methods.
AtanInst: An instance of ‘Atan’ Operation with it’s Outputs and Inputs exposed as methods.
Atanh: Builder for the Atanh operation.
AtanhInst: An instance of ‘Atanh’ Operation with it’s Outputs and Inputs exposed as methods.
AudioSpectrogram: Builder for the AudioSpectrogram operation.
AudioSpectrogramInst: An instance of ‘AudioSpectrogram’ Operation with it’s Outputs and Inputs exposed as methods.
AudioSummary: Builder for the AudioSummary operation.
AudioSummaryInst: An instance of ‘AudioSummary’ Operation with it’s Outputs and Inputs exposed as methods.
AudioSummaryV2: Builder for the AudioSummaryV2 operation.
AudioSummaryV2Inst: An instance of ‘AudioSummaryV2’ Operation with it’s Outputs and Inputs exposed as methods.
AutoShardDataset: Builder for the AutoShardDataset operation.
AutoShardDatasetInst: An instance of ‘AutoShardDataset’ Operation with it’s Outputs and Inputs exposed as methods.
AvgPool: Builder for the AvgPool operation.
AvgPool3D: Builder for the AvgPool3D operation.
AvgPool3DGrad: Builder for the AvgPool3DGrad operation.
AvgPool3DGradInst: An instance of ‘AvgPool3DGrad’ Operation with it’s Outputs and Inputs exposed as methods.
AvgPool3DInst: An instance of ‘AvgPool3D’ Operation with it’s Outputs and Inputs exposed as methods.
AvgPoolGrad: Builder for the AvgPoolGrad operation.
AvgPoolGradInst: An instance of ‘AvgPoolGrad’ Operation with it’s Outputs and Inputs exposed as methods.
AvgPoolInst: An instance of ‘AvgPool’ Operation with it’s Outputs and Inputs exposed as methods.
BandedTriangularSolve: Builder for the BandedTriangularSolve operation.
BandedTriangularSolveInst: An instance of ‘BandedTriangularSolve’ Operation with it’s Outputs and Inputs exposed as methods.
Barrier: Builder for the Barrier operation.
BarrierClose: Builder for the BarrierClose operation.
BarrierCloseInst: An instance of ‘BarrierClose’ Operation with it’s Outputs and Inputs exposed as methods.
BarrierIncompleteSize: Builder for the BarrierIncompleteSize operation.
BarrierIncompleteSizeInst: An instance of ‘BarrierIncompleteSize’ Operation with it’s Outputs and Inputs exposed as methods.
BarrierInsertMany: Builder for the BarrierInsertMany operation.
BarrierInsertManyInst: An instance of ‘BarrierInsertMany’ Operation with it’s Outputs and Inputs exposed as methods.
BarrierInst: An instance of ‘Barrier’ Operation with it’s Outputs and Inputs exposed as methods.
BarrierReadySize: Builder for the BarrierReadySize operation.
BarrierReadySizeInst: An instance of ‘BarrierReadySize’ Operation with it’s Outputs and Inputs exposed as methods.
BarrierTakeMany: Builder for the BarrierTakeMany operation.
BarrierTakeManyInst: An instance of ‘BarrierTakeMany’ Operation with it’s Outputs and Inputs exposed as methods.
Batch: Builder for the Batch operation.
BatchCholesky: Builder for the BatchCholesky operation.
BatchCholeskyGrad: Builder for the BatchCholeskyGrad operation.
BatchCholeskyGradInst: An instance of ‘BatchCholeskyGrad’ Operation with it’s Outputs and Inputs exposed as methods.
BatchCholeskyInst: An instance of ‘BatchCholesky’ Operation with it’s Outputs and Inputs exposed as methods.
BatchDataset: Builder for the BatchDataset operation.
BatchDatasetInst: An instance of ‘BatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
BatchDatasetV2: Builder for the BatchDatasetV2 operation.
BatchDatasetV2Inst: An instance of ‘BatchDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
BatchFFT: Builder for the BatchFFT operation.
BatchFFT2D: Builder for the BatchFFT2D operation.
BatchFFT2DInst: An instance of ‘BatchFFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
BatchFFT3D: Builder for the BatchFFT3D operation.
BatchFFT3DInst: An instance of ‘BatchFFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
BatchFFTInst: An instance of ‘BatchFFT’ Operation with it’s Outputs and Inputs exposed as methods.
BatchFunction: Builder for the BatchFunction operation.
BatchFunctionInst: An instance of ‘BatchFunction’ Operation with it’s Outputs and Inputs exposed as methods.
BatchIFFT: Builder for the BatchIFFT operation.
BatchIFFT2D: Builder for the BatchIFFT2D operation.
BatchIFFT2DInst: An instance of ‘BatchIFFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
BatchIFFT3D: Builder for the BatchIFFT3D operation.
BatchIFFT3DInst: An instance of ‘BatchIFFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
BatchIFFTInst: An instance of ‘BatchIFFT’ Operation with it’s Outputs and Inputs exposed as methods.
BatchInst: An instance of ‘Batch’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatMul: Builder for the BatchMatMul operation.
BatchMatMulInst: An instance of ‘BatchMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatMulV2: Builder for the BatchMatMulV2 operation.
BatchMatMulV3: Builder for the BatchMatMulV3 operation.
BatchMatMulV2Inst: An instance of ‘BatchMatMulV2’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatMulV3Inst: An instance of ‘BatchMatMulV3’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixBandPart: Builder for the BatchMatrixBandPart operation.
BatchMatrixBandPartInst: An instance of ‘BatchMatrixBandPart’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixDeterminant: Builder for the BatchMatrixDeterminant operation.
BatchMatrixDeterminantInst: An instance of ‘BatchMatrixDeterminant’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixDiag: Builder for the BatchMatrixDiag operation.
BatchMatrixDiagInst: An instance of ‘BatchMatrixDiag’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixDiagPart: Builder for the BatchMatrixDiagPart operation.
BatchMatrixDiagPartInst: An instance of ‘BatchMatrixDiagPart’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixInverse: Builder for the BatchMatrixInverse operation.
BatchMatrixInverseInst: An instance of ‘BatchMatrixInverse’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixSetDiag: Builder for the BatchMatrixSetDiag operation.
BatchMatrixSetDiagInst: An instance of ‘BatchMatrixSetDiag’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixSolve: Builder for the BatchMatrixSolve operation.
BatchMatrixSolveInst: An instance of ‘BatchMatrixSolve’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixSolveLs: Builder for the BatchMatrixSolveLs operation.
BatchMatrixSolveLsInst: An instance of ‘BatchMatrixSolveLs’ Operation with it’s Outputs and Inputs exposed as methods.
BatchMatrixTriangularSolve: Builder for the BatchMatrixTriangularSolve operation.
BatchMatrixTriangularSolveInst: An instance of ‘BatchMatrixTriangularSolve’ Operation with it’s Outputs and Inputs exposed as methods.
BatchNormWithGlobalNormalization: Builder for the BatchNormWithGlobalNormalization operation.
BatchNormWithGlobalNormalizationGrad: Builder for the BatchNormWithGlobalNormalizationGrad operation.
BatchNormWithGlobalNormalizationGradInst: An instance of ‘BatchNormWithGlobalNormalizationGrad’ Operation with it’s Outputs and Inputs exposed as methods.
BatchNormWithGlobalNormalizationInst: An instance of ‘BatchNormWithGlobalNormalization’ Operation with it’s Outputs and Inputs exposed as methods.
BatchSelfAdjointEig: Builder for the BatchSelfAdjointEig operation.
BatchSelfAdjointEigInst: An instance of ‘BatchSelfAdjointEig’ Operation with it’s Outputs and Inputs exposed as methods.
BatchSelfAdjointEigV2: Builder for the BatchSelfAdjointEigV2 operation.
BatchSelfAdjointEigV2Inst: An instance of ‘BatchSelfAdjointEigV2’ Operation with it’s Outputs and Inputs exposed as methods.
BatchSvd: Builder for the BatchSvd operation.
BatchSvdInst: An instance of ‘BatchSvd’ Operation with it’s Outputs and Inputs exposed as methods.
BatchToSpace: Builder for the BatchToSpace operation.
BatchToSpaceInst: An instance of ‘BatchToSpace’ Operation with it’s Outputs and Inputs exposed as methods.
BatchToSpaceND: Builder for the BatchToSpaceND operation.
BatchToSpaceNDInst: An instance of ‘BatchToSpaceND’ Operation with it’s Outputs and Inputs exposed as methods.
BesselI0: Builder for the BesselI0 operation.
BesselI0Inst: An instance of ‘BesselI0’ Operation with it’s Outputs and Inputs exposed as methods.
BesselI0e: Builder for the BesselI0e operation.
BesselI0eInst: An instance of ‘BesselI0e’ Operation with it’s Outputs and Inputs exposed as methods.
BesselI1: Builder for the BesselI1 operation.
BesselI1Inst: An instance of ‘BesselI1’ Operation with it’s Outputs and Inputs exposed as methods.
BesselI1e: Builder for the BesselI1e operation.
BesselI1eInst: An instance of ‘BesselI1e’ Operation with it’s Outputs and Inputs exposed as methods.
BesselJ0: Builder for the BesselJ0 operation.
BesselJ0Inst: An instance of ‘BesselJ0’ Operation with it’s Outputs and Inputs exposed as methods.
BesselJ1: Builder for the BesselJ1 operation.
BesselJ1Inst: An instance of ‘BesselJ1’ Operation with it’s Outputs and Inputs exposed as methods.
BesselK0: Builder for the BesselK0 operation.
BesselK0Inst: An instance of ‘BesselK0’ Operation with it’s Outputs and Inputs exposed as methods.
BesselK0e: Builder for the BesselK0e operation.
BesselK0eInst: An instance of ‘BesselK0e’ Operation with it’s Outputs and Inputs exposed as methods.
BesselK1: Builder for the BesselK1 operation.
BesselK1Inst: An instance of ‘BesselK1’ Operation with it’s Outputs and Inputs exposed as methods.
BesselK1e: Builder for the BesselK1e operation.
BesselK1eInst: An instance of ‘BesselK1e’ Operation with it’s Outputs and Inputs exposed as methods.
BesselY0: Builder for the BesselY0 operation.
BesselY0Inst: An instance of ‘BesselY0’ Operation with it’s Outputs and Inputs exposed as methods.
BesselY1: Builder for the BesselY1 operation.
BesselY1Inst: An instance of ‘BesselY1’ Operation with it’s Outputs and Inputs exposed as methods.
Betainc: Builder for the Betainc operation.
BetaincInst: An instance of ‘Betainc’ Operation with it’s Outputs and Inputs exposed as methods.
BiasAdd: Builder for the BiasAdd operation.
BiasAddGrad: Builder for the BiasAddGrad operation.
BiasAddGradInst: An instance of ‘BiasAddGrad’ Operation with it’s Outputs and Inputs exposed as methods.
BiasAddInst: An instance of ‘BiasAdd’ Operation with it’s Outputs and Inputs exposed as methods.
BiasAddV1: Builder for the BiasAddV1 operation.
BiasAddV1Inst: An instance of ‘BiasAddV1’ Operation with it’s Outputs and Inputs exposed as methods.
Bincount: Builder for the Bincount operation.
BincountInst: An instance of ‘Bincount’ Operation with it’s Outputs and Inputs exposed as methods.
Bitcast: Builder for the Bitcast operation.
BitcastInst: An instance of ‘Bitcast’ Operation with it’s Outputs and Inputs exposed as methods.
BitwiseAnd: Builder for the BitwiseAnd operation.
BitwiseAndInst: An instance of ‘BitwiseAnd’ Operation with it’s Outputs and Inputs exposed as methods.
BitwiseOr: Builder for the BitwiseOr operation.
BitwiseOrInst: An instance of ‘BitwiseOr’ Operation with it’s Outputs and Inputs exposed as methods.
BitwiseXor: Builder for the BitwiseXor operation.
BitwiseXorInst: An instance of ‘BitwiseXor’ Operation with it’s Outputs and Inputs exposed as methods.
BlockLSTM: Builder for the BlockLSTM operation.
BlockLSTMGrad: Builder for the BlockLSTMGrad operation.
BlockLSTMGradInst: An instance of ‘BlockLSTMGrad’ Operation with it’s Outputs and Inputs exposed as methods.
BlockLSTMGradV2: Builder for the BlockLSTMGradV2 operation.
BlockLSTMGradV2Inst: An instance of ‘BlockLSTMGradV2’ Operation with it’s Outputs and Inputs exposed as methods.
BlockLSTMInst: An instance of ‘BlockLSTM’ Operation with it’s Outputs and Inputs exposed as methods.
BlockLSTMV2: Builder for the BlockLSTMV2 operation.
BlockLSTMV2Inst: An instance of ‘BlockLSTMV2’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesAggregateStats: Builder for the BoostedTreesAggregateStats operation.
BoostedTreesAggregateStatsInst: An instance of ‘BoostedTreesAggregateStats’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesBucketize: Builder for the BoostedTreesBucketize operation.
BoostedTreesBucketizeInst: An instance of ‘BoostedTreesBucketize’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCalculateBestFeatureSplit: Builder for the BoostedTreesCalculateBestFeatureSplit operation.
BoostedTreesCalculateBestFeatureSplitInst: An instance of ‘BoostedTreesCalculateBestFeatureSplit’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCalculateBestFeatureSplitV2: Builder for the BoostedTreesCalculateBestFeatureSplitV2 operation.
BoostedTreesCalculateBestFeatureSplitV2Inst: An instance of ‘BoostedTreesCalculateBestFeatureSplitV2’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCalculateBestGainsPerFeature: Builder for the BoostedTreesCalculateBestGainsPerFeature operation.
BoostedTreesCalculateBestGainsPerFeatureInst: An instance of ‘BoostedTreesCalculateBestGainsPerFeature’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCenterBias: Builder for the BoostedTreesCenterBias operation.
BoostedTreesCenterBiasInst: An instance of ‘BoostedTreesCenterBias’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCreateEnsemble: Builder for the BoostedTreesCreateEnsemble operation.
BoostedTreesCreateEnsembleInst: An instance of ‘BoostedTreesCreateEnsemble’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesCreateQuantileStreamResource: Builder for the BoostedTreesCreateQuantileStreamResource operation.
BoostedTreesCreateQuantileStreamResourceInst: An instance of ‘BoostedTreesCreateQuantileStreamResource’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesDeserializeEnsemble: Builder for the BoostedTreesDeserializeEnsemble operation.
BoostedTreesDeserializeEnsembleInst: An instance of ‘BoostedTreesDeserializeEnsemble’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesEnsembleResourceHandleOp: Builder for the BoostedTreesEnsembleResourceHandleOp operation.
BoostedTreesEnsembleResourceHandleOpInst: An instance of ‘BoostedTreesEnsembleResourceHandleOp’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesExampleDebugOutputs: Builder for the BoostedTreesExampleDebugOutputs operation.
BoostedTreesExampleDebugOutputsInst: An instance of ‘BoostedTreesExampleDebugOutputs’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesFlushQuantileSummaries: Builder for the BoostedTreesFlushQuantileSummaries operation.
BoostedTreesFlushQuantileSummariesInst: An instance of ‘BoostedTreesFlushQuantileSummaries’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesGetEnsembleStates: Builder for the BoostedTreesGetEnsembleStates operation.
BoostedTreesGetEnsembleStatesInst: An instance of ‘BoostedTreesGetEnsembleStates’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesMakeQuantileSummaries: Builder for the BoostedTreesMakeQuantileSummaries operation.
BoostedTreesMakeQuantileSummariesInst: An instance of ‘BoostedTreesMakeQuantileSummaries’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesMakeStatsSummary: Builder for the BoostedTreesMakeStatsSummary operation.
BoostedTreesMakeStatsSummaryInst: An instance of ‘BoostedTreesMakeStatsSummary’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesPredict: Builder for the BoostedTreesPredict operation.
BoostedTreesPredictInst: An instance of ‘BoostedTreesPredict’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesQuantileStreamResourceAddSummaries: Builder for the BoostedTreesQuantileStreamResourceAddSummaries operation.
BoostedTreesQuantileStreamResourceAddSummariesInst: An instance of ‘BoostedTreesQuantileStreamResourceAddSummaries’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesQuantileStreamResourceDeserialize: Builder for the BoostedTreesQuantileStreamResourceDeserialize operation.
BoostedTreesQuantileStreamResourceDeserializeInst: An instance of ‘BoostedTreesQuantileStreamResourceDeserialize’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesQuantileStreamResourceFlush: Builder for the BoostedTreesQuantileStreamResourceFlush operation.
BoostedTreesQuantileStreamResourceFlushInst: An instance of ‘BoostedTreesQuantileStreamResourceFlush’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesQuantileStreamResourceGetBucketBoundaries: Builder for the BoostedTreesQuantileStreamResourceGetBucketBoundaries operation.
BoostedTreesQuantileStreamResourceGetBucketBoundariesInst: An instance of ‘BoostedTreesQuantileStreamResourceGetBucketBoundaries’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesQuantileStreamResourceHandleOp: Builder for the BoostedTreesQuantileStreamResourceHandleOp operation.
BoostedTreesQuantileStreamResourceHandleOpInst: An instance of ‘BoostedTreesQuantileStreamResourceHandleOp’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesSerializeEnsemble: Builder for the BoostedTreesSerializeEnsemble operation.
BoostedTreesSerializeEnsembleInst: An instance of ‘BoostedTreesSerializeEnsemble’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesSparseAggregateStats: Builder for the BoostedTreesSparseAggregateStats operation.
BoostedTreesSparseAggregateStatsInst: An instance of ‘BoostedTreesSparseAggregateStats’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesSparseCalculateBestFeatureSplit: Builder for the BoostedTreesSparseCalculateBestFeatureSplit operation.
BoostedTreesSparseCalculateBestFeatureSplitInst: An instance of ‘BoostedTreesSparseCalculateBestFeatureSplit’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesTrainingPredict: Builder for the BoostedTreesTrainingPredict operation.
BoostedTreesTrainingPredictInst: An instance of ‘BoostedTreesTrainingPredict’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesUpdateEnsemble: Builder for the BoostedTreesUpdateEnsemble operation.
BoostedTreesUpdateEnsembleInst: An instance of ‘BoostedTreesUpdateEnsemble’ Operation with it’s Outputs and Inputs exposed as methods.
BoostedTreesUpdateEnsembleV2: Builder for the BoostedTreesUpdateEnsembleV2 operation.
BoostedTreesUpdateEnsembleV2Inst: An instance of ‘BoostedTreesUpdateEnsembleV2’ Operation with it’s Outputs and Inputs exposed as methods.
BroadcastArgs: Builder for the BroadcastArgs operation.
BroadcastArgsInst: An instance of ‘BroadcastArgs’ Operation with it’s Outputs and Inputs exposed as methods.
BroadcastGradientArgs: Builder for the BroadcastGradientArgs operation.
BroadcastGradientArgsInst: An instance of ‘BroadcastGradientArgs’ Operation with it’s Outputs and Inputs exposed as methods.
BroadcastTo: Builder for the BroadcastTo operation.
BroadcastToInst: An instance of ‘BroadcastTo’ Operation with it’s Outputs and Inputs exposed as methods.
Bucketize: Builder for the Bucketize operation.
BucketizeInst: An instance of ‘Bucketize’ Operation with it’s Outputs and Inputs exposed as methods.
BytesProducedStatsDataset: Builder for the BytesProducedStatsDataset operation.
BytesProducedStatsDatasetInst: An instance of ‘BytesProducedStatsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
CSRSparseMatrixComponents: Builder for the CSRSparseMatrixComponents operation.
CSRSparseMatrixComponentsInst: An instance of ‘CSRSparseMatrixComponents’ Operation with it’s Outputs and Inputs exposed as methods.
CSRSparseMatrixToDense: Builder for the CSRSparseMatrixToDense operation.
CSRSparseMatrixToDenseInst: An instance of ‘CSRSparseMatrixToDense’ Operation with it’s Outputs and Inputs exposed as methods.
CSRSparseMatrixToSparseTensor: Builder for the CSRSparseMatrixToSparseTensor operation.
CSRSparseMatrixToSparseTensorInst: An instance of ‘CSRSparseMatrixToSparseTensor’ Operation with it’s Outputs and Inputs exposed as methods.
CSVDataset: Builder for the CSVDataset operation.
CSVDatasetInst: An instance of ‘CSVDataset’ Operation with it’s Outputs and Inputs exposed as methods.
CSVDatasetV2: Builder for the CSVDatasetV2 operation.
CSVDatasetV2Inst: An instance of ‘CSVDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
CTCBeamSearchDecoder: Builder for the CTCBeamSearchDecoder operation.
CTCBeamSearchDecoderInst: An instance of ‘CTCBeamSearchDecoder’ Operation with it’s Outputs and Inputs exposed as methods.
CTCGreedyDecoder: Builder for the CTCGreedyDecoder operation.
CTCGreedyDecoderInst: An instance of ‘CTCGreedyDecoder’ Operation with it’s Outputs and Inputs exposed as methods.
CTCLoss: Builder for the CTCLoss operation.
CTCLossInst: An instance of ‘CTCLoss’ Operation with it’s Outputs and Inputs exposed as methods.
CTCLossV2: Builder for the CTCLossV2 operation.
CTCLossV2Inst: An instance of ‘CTCLossV2’ Operation with it’s Outputs and Inputs exposed as methods.
CacheDataset: Builder for the CacheDataset operation.
CacheDatasetInst: An instance of ‘CacheDataset’ Operation with it’s Outputs and Inputs exposed as methods.
CacheDatasetV2: Builder for the CacheDatasetV2 operation.
CacheDatasetV2Inst: An instance of ‘CacheDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
Case: Builder for the Case operation.
CaseInst: An instance of ‘Case’ Operation with it’s Outputs and Inputs exposed as methods.
Cast: Builder for the Cast operation.
CastInst: An instance of ‘Cast’ Operation with it’s Outputs and Inputs exposed as methods.
Ceil: Builder for the Ceil operation.
CeilInst: An instance of ‘Ceil’ Operation with it’s Outputs and Inputs exposed as methods.
CheckNumerics: Builder for the CheckNumerics operation.
CheckNumericsInst: An instance of ‘CheckNumerics’ Operation with it’s Outputs and Inputs exposed as methods.
CheckNumericsV2: Builder for the CheckNumericsV2 operation.
CheckNumericsV2Inst: An instance of ‘CheckNumericsV2’ Operation with it’s Outputs and Inputs exposed as methods.
Cholesky: Builder for the Cholesky operation.
CholeskyGrad: Builder for the CholeskyGrad operation.
CholeskyGradInst: An instance of ‘CholeskyGrad’ Operation with it’s Outputs and Inputs exposed as methods.
CholeskyInst: An instance of ‘Cholesky’ Operation with it’s Outputs and Inputs exposed as methods.
ChooseFastestBranchDataset: Builder for the ChooseFastestBranchDataset operation.
ChooseFastestBranchDatasetInst: An instance of ‘ChooseFastestBranchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ChooseFastestDataset: Builder for the ChooseFastestDataset operation.
ChooseFastestDatasetInst: An instance of ‘ChooseFastestDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ClipByValue: Builder for the ClipByValue operation.
ClipByValueInst: An instance of ‘ClipByValue’ Operation with it’s Outputs and Inputs exposed as methods.
CloseSummaryWriter: Builder for the CloseSummaryWriter operation.
CloseSummaryWriterInst: An instance of ‘CloseSummaryWriter’ Operation with it’s Outputs and Inputs exposed as methods.
CollateTPUEmbeddingMemory: Builder for the CollateTPUEmbeddingMemory operation.
CollateTPUEmbeddingMemoryInst: An instance of ‘CollateTPUEmbeddingMemory’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveAllToAllV2: Builder for the CollectiveAllToAllV2 operation.
CollectiveAllToAllV3: Builder for the CollectiveAllToAllV3 operation.
CollectiveAllToAllV2Inst: An instance of ‘CollectiveAllToAllV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveAllToAllV3Inst: An instance of ‘CollectiveAllToAllV3’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveAssignGroupV2: Builder for the CollectiveAssignGroupV2 operation.
CollectiveAssignGroupV2Inst: An instance of ‘CollectiveAssignGroupV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveBcastRecv: Builder for the CollectiveBcastRecv operation.
CollectiveBcastRecvInst: An instance of ‘CollectiveBcastRecv’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveBcastRecvV2: Builder for the CollectiveBcastRecvV2 operation.
CollectiveBcastRecvV2Inst: An instance of ‘CollectiveBcastRecvV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveBcastSend: Builder for the CollectiveBcastSend operation.
CollectiveBcastSendInst: An instance of ‘CollectiveBcastSend’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveBcastSendV2: Builder for the CollectiveBcastSendV2 operation.
CollectiveBcastSendV2Inst: An instance of ‘CollectiveBcastSendV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveGather: Builder for the CollectiveGather operation.
CollectiveGatherInst: An instance of ‘CollectiveGather’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveGatherV2: Builder for the CollectiveGatherV2 operation.
CollectiveGatherV2Inst: An instance of ‘CollectiveGatherV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveInitializeCommunicator: Builder for the CollectiveInitializeCommunicator operation.
CollectiveInitializeCommunicatorInst: An instance of ‘CollectiveInitializeCommunicator’ Operation with it’s Outputs and Inputs exposed as methods.
CollectivePermute: Builder for the CollectivePermute operation.
CollectivePermuteInst: An instance of ‘CollectivePermute’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveReduce: Builder for the CollectiveReduce operation.
CollectiveReduceInst: An instance of ‘CollectiveReduce’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveReduceScatterV2: Builder for the CollectiveReduceScatterV2 operation.
CollectiveReduceScatterV2Inst: An instance of ‘CollectiveReduceScatterV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveReduceV2: Builder for the CollectiveReduceV2 operation.
CollectiveReduceV3: Builder for the CollectiveReduceV3 operation.
CollectiveReduceV2Inst: An instance of ‘CollectiveReduceV2’ Operation with it’s Outputs and Inputs exposed as methods.
CollectiveReduceV3Inst: An instance of ‘CollectiveReduceV3’ Operation with it’s Outputs and Inputs exposed as methods.
CombinedNonMaxSuppression: Builder for the CombinedNonMaxSuppression operation.
CombinedNonMaxSuppressionInst: An instance of ‘CombinedNonMaxSuppression’ Operation with it’s Outputs and Inputs exposed as methods.
Complex: Builder for the Complex operation.
ComplexAbs: Builder for the ComplexAbs operation.
ComplexAbsInst: An instance of ‘ComplexAbs’ Operation with it’s Outputs and Inputs exposed as methods.
ComplexInst: An instance of ‘Complex’ Operation with it’s Outputs and Inputs exposed as methods.
CompositeTensorVariantFromComponents: Builder for the CompositeTensorVariantFromComponents operation.
CompositeTensorVariantFromComponentsInst: An instance of ‘CompositeTensorVariantFromComponents’ Operation with it’s Outputs and Inputs exposed as methods.
CompositeTensorVariantToComponents: Builder for the CompositeTensorVariantToComponents operation.
CompositeTensorVariantToComponentsInst: An instance of ‘CompositeTensorVariantToComponents’ Operation with it’s Outputs and Inputs exposed as methods.
CompressElement: Builder for the CompressElement operation.
CompressElementInst: An instance of ‘CompressElement’ Operation with it’s Outputs and Inputs exposed as methods.
ComputeAccidentalHits: Builder for the ComputeAccidentalHits operation.
ComputeAccidentalHitsInst: An instance of ‘ComputeAccidentalHits’ Operation with it’s Outputs and Inputs exposed as methods.
ComputeBatchSize: Builder for the ComputeBatchSize operation.
ComputeBatchSizeInst: An instance of ‘ComputeBatchSize’ Operation with it’s Outputs and Inputs exposed as methods.
ComputeDedupDataTupleMask: Builder for the ComputeDedupDataTupleMask operation.
ComputeDedupDataTupleMaskInst: An instance of ‘ComputeDedupDataTupleMask’ Operation with it’s Outputs and Inputs exposed as methods.
Concat: Builder for the Concat operation.
ConcatInst: An instance of ‘Concat’ Operation with it’s Outputs and Inputs exposed as methods.
ConcatOffset: Builder for the ConcatOffset operation.
ConcatOffsetInst: An instance of ‘ConcatOffset’ Operation with it’s Outputs and Inputs exposed as methods.
ConcatV2: Builder for the ConcatV2 operation.
ConcatV2Inst: An instance of ‘ConcatV2’ Operation with it’s Outputs and Inputs exposed as methods.
ConcatenateDataset: Builder for the ConcatenateDataset operation.
ConcatenateDatasetInst: An instance of ‘ConcatenateDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ConditionalAccumulator: Builder for the ConditionalAccumulator operation.
ConditionalAccumulatorInst: An instance of ‘ConditionalAccumulator’ Operation with it’s Outputs and Inputs exposed as methods.
ConfigureAndInitializeGlobalTPU: Builder for the ConfigureAndInitializeGlobalTPU operation.
ConfigureAndInitializeGlobalTPUInst: An instance of ‘ConfigureAndInitializeGlobalTPU’ Operation with it’s Outputs and Inputs exposed as methods.
ConfigureDistributedTPU: Builder for the ConfigureDistributedTPU operation.
ConfigureDistributedTPUInst: An instance of ‘ConfigureDistributedTPU’ Operation with it’s Outputs and Inputs exposed as methods.
ConfigureTPUEmbedding: Builder for the ConfigureTPUEmbedding operation.
ConfigureTPUEmbeddingHost: Builder for the ConfigureTPUEmbeddingHost operation.
ConfigureTPUEmbeddingHostInst: An instance of ‘ConfigureTPUEmbeddingHost’ Operation with it’s Outputs and Inputs exposed as methods.
ConfigureTPUEmbeddingInst: An instance of ‘ConfigureTPUEmbedding’ Operation with it’s Outputs and Inputs exposed as methods.
ConfigureTPUEmbeddingMemory: Builder for the ConfigureTPUEmbeddingMemory operation.
ConfigureTPUEmbeddingMemoryInst: An instance of ‘ConfigureTPUEmbeddingMemory’ Operation with it’s Outputs and Inputs exposed as methods.
Conj: Builder for the Conj operation.
ConjInst: An instance of ‘Conj’ Operation with it’s Outputs and Inputs exposed as methods.
ConjugateTranspose: Builder for the ConjugateTranspose operation.
ConjugateTransposeInst: An instance of ‘ConjugateTranspose’ Operation with it’s Outputs and Inputs exposed as methods.
ConnectTPUEmbeddingHosts: Builder for the ConnectTPUEmbeddingHosts operation.
ConnectTPUEmbeddingHostsInst: An instance of ‘ConnectTPUEmbeddingHosts’ Operation with it’s Outputs and Inputs exposed as methods.
Const: Builder for the Const operation.
ConstInst: An instance of ‘Const’ Operation with it’s Outputs and Inputs exposed as methods.
ConsumeMutexLock: Builder for the ConsumeMutexLock operation.
ConsumeMutexLockInst: An instance of ‘ConsumeMutexLock’ Operation with it’s Outputs and Inputs exposed as methods.
ControlTrigger: Builder for the ControlTrigger operation.
ControlTriggerInst: An instance of ‘ControlTrigger’ Operation with it’s Outputs and Inputs exposed as methods.
Conv2D: Builder for the Conv2D operation.
Conv2DBackpropFilter: Builder for the Conv2DBackpropFilter operation.
Conv2DBackpropFilterInst: An instance of ‘Conv2DBackpropFilter’ Operation with it’s Outputs and Inputs exposed as methods.
Conv2DBackpropFilterV2: Builder for the Conv2DBackpropFilterV2 operation.
Conv2DBackpropFilterV2Inst: An instance of ‘Conv2DBackpropFilterV2’ Operation with it’s Outputs and Inputs exposed as methods.
Conv2DBackpropInput: Builder for the Conv2DBackpropInput operation.
Conv2DBackpropInputInst: An instance of ‘Conv2DBackpropInput’ Operation with it’s Outputs and Inputs exposed as methods.
Conv2DBackpropInputV2: Builder for the Conv2DBackpropInputV2 operation.
Conv2DBackpropInputV2Inst: An instance of ‘Conv2DBackpropInputV2’ Operation with it’s Outputs and Inputs exposed as methods.
Conv2DInst: An instance of ‘Conv2D’ Operation with it’s Outputs and Inputs exposed as methods.
Conv3D: Builder for the Conv3D operation.
Conv3DBackpropFilter: Builder for the Conv3DBackpropFilter operation.
Conv3DBackpropFilterInst: An instance of ‘Conv3DBackpropFilter’ Operation with it’s Outputs and Inputs exposed as methods.
Conv3DBackpropFilterV2: Builder for the Conv3DBackpropFilterV2 operation.
Conv3DBackpropFilterV2Inst: An instance of ‘Conv3DBackpropFilterV2’ Operation with it’s Outputs and Inputs exposed as methods.
Conv3DBackpropInput: Builder for the Conv3DBackpropInput operation.
Conv3DBackpropInputInst: An instance of ‘Conv3DBackpropInput’ Operation with it’s Outputs and Inputs exposed as methods.
Conv3DBackpropInputV2: Builder for the Conv3DBackpropInputV2 operation.
Conv3DBackpropInputV2Inst: An instance of ‘Conv3DBackpropInputV2’ Operation with it’s Outputs and Inputs exposed as methods.
Conv3DInst: An instance of ‘Conv3D’ Operation with it’s Outputs and Inputs exposed as methods.
Copy: Builder for the Copy operation.
CopyHost: Builder for the CopyHost operation.
CopyHostInst: An instance of ‘CopyHost’ Operation with it’s Outputs and Inputs exposed as methods.
CopyInst: An instance of ‘Copy’ Operation with it’s Outputs and Inputs exposed as methods.
CopyToMesh: Builder for the CopyToMesh operation.
CopyToMeshGrad: Builder for the CopyToMeshGrad operation.
CopyToMeshGradInst: An instance of ‘CopyToMeshGrad’ Operation with it’s Outputs and Inputs exposed as methods.
CopyToMeshInst: An instance of ‘CopyToMesh’ Operation with it’s Outputs and Inputs exposed as methods.
Cos: Builder for the Cos operation.
CosInst: An instance of ‘Cos’ Operation with it’s Outputs and Inputs exposed as methods.
Cosh: Builder for the Cosh operation.
CoshInst: An instance of ‘Cosh’ Operation with it’s Outputs and Inputs exposed as methods.
CountUpTo: Builder for the CountUpTo operation.
CountUpToInst: An instance of ‘CountUpTo’ Operation with it’s Outputs and Inputs exposed as methods.
CreateSummaryDbWriter: Builder for the CreateSummaryDbWriter operation.
CreateSummaryDbWriterInst: An instance of ‘CreateSummaryDbWriter’ Operation with it’s Outputs and Inputs exposed as methods.
CreateSummaryFileWriter: Builder for the CreateSummaryFileWriter operation.
CreateSummaryFileWriterInst: An instance of ‘CreateSummaryFileWriter’ Operation with it’s Outputs and Inputs exposed as methods.
CropAndResize: Builder for the CropAndResize operation.
CropAndResizeGradBoxes: Builder for the CropAndResizeGradBoxes operation.
CropAndResizeGradBoxesInst: An instance of ‘CropAndResizeGradBoxes’ Operation with it’s Outputs and Inputs exposed as methods.
CropAndResizeGradImage: Builder for the CropAndResizeGradImage operation.
CropAndResizeGradImageInst: An instance of ‘CropAndResizeGradImage’ Operation with it’s Outputs and Inputs exposed as methods.
CropAndResizeInst: An instance of ‘CropAndResize’ Operation with it’s Outputs and Inputs exposed as methods.
Cross: Builder for the Cross operation.
CrossInst: An instance of ‘Cross’ Operation with it’s Outputs and Inputs exposed as methods.
CrossReplicaSum: Builder for the CrossReplicaSum operation.
CrossReplicaSumInst: An instance of ‘CrossReplicaSum’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNN: Builder for the CudnnRNN operation.
CudnnRNNBackprop: Builder for the CudnnRNNBackprop operation.
CudnnRNNBackpropInst: An instance of ‘CudnnRNNBackprop’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNBackpropV2: Builder for the CudnnRNNBackpropV2 operation.
CudnnRNNBackpropV3: Builder for the CudnnRNNBackpropV3 operation.
CudnnRNNBackpropV2Inst: An instance of ‘CudnnRNNBackpropV2’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNBackpropV3Inst: An instance of ‘CudnnRNNBackpropV3’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNCanonicalToParams: Builder for the CudnnRNNCanonicalToParams operation.
CudnnRNNCanonicalToParamsInst: An instance of ‘CudnnRNNCanonicalToParams’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNCanonicalToParamsV2: Builder for the CudnnRNNCanonicalToParamsV2 operation.
CudnnRNNCanonicalToParamsV2Inst: An instance of ‘CudnnRNNCanonicalToParamsV2’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNInst: An instance of ‘CudnnRNN’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNParamsSize: Builder for the CudnnRNNParamsSize operation.
CudnnRNNParamsSizeInst: An instance of ‘CudnnRNNParamsSize’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNParamsToCanonical: Builder for the CudnnRNNParamsToCanonical operation.
CudnnRNNParamsToCanonicalInst: An instance of ‘CudnnRNNParamsToCanonical’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNParamsToCanonicalV2: Builder for the CudnnRNNParamsToCanonicalV2 operation.
CudnnRNNParamsToCanonicalV2Inst: An instance of ‘CudnnRNNParamsToCanonicalV2’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNV2: Builder for the CudnnRNNV2 operation.
CudnnRNNV3: Builder for the CudnnRNNV3 operation.
CudnnRNNV2Inst: An instance of ‘CudnnRNNV2’ Operation with it’s Outputs and Inputs exposed as methods.
CudnnRNNV3Inst: An instance of ‘CudnnRNNV3’ Operation with it’s Outputs and Inputs exposed as methods.
Cumprod: Builder for the Cumprod operation.
CumprodInst: An instance of ‘Cumprod’ Operation with it’s Outputs and Inputs exposed as methods.
Cumsum: Builder for the Cumsum operation.
CumsumInst: An instance of ‘Cumsum’ Operation with it’s Outputs and Inputs exposed as methods.
CumulativeLogsumexp: Builder for the CumulativeLogsumexp operation.
CumulativeLogsumexpInst: An instance of ‘CumulativeLogsumexp’ Operation with it’s Outputs and Inputs exposed as methods.
DTensorRestoreV2: Builder for the DTensorRestoreV2 operation.
DTensorRestoreV2Inst: An instance of ‘DTensorRestoreV2’ Operation with it’s Outputs and Inputs exposed as methods.
DTensorSetGlobalTPUArray: Builder for the DTensorSetGlobalTPUArray operation.
DTensorSetGlobalTPUArrayInst: An instance of ‘DTensorSetGlobalTPUArray’ Operation with it’s Outputs and Inputs exposed as methods.
DataFormatDimMap: Builder for the DataFormatDimMap operation.
DataFormatDimMapInst: An instance of ‘DataFormatDimMap’ Operation with it’s Outputs and Inputs exposed as methods.
DataFormatVecPermute: Builder for the DataFormatVecPermute operation.
DataFormatVecPermuteInst: An instance of ‘DataFormatVecPermute’ Operation with it’s Outputs and Inputs exposed as methods.
DataServiceDataset: Builder for the DataServiceDataset operation.
DataServiceDatasetInst: An instance of ‘DataServiceDataset’ Operation with it’s Outputs and Inputs exposed as methods.
DataServiceDatasetV2: Builder for the DataServiceDatasetV2 operation.
DataServiceDatasetV3: Builder for the DataServiceDatasetV3 operation.
DataServiceDatasetV4: Builder for the DataServiceDatasetV4 operation.
DataServiceDatasetV2Inst: An instance of ‘DataServiceDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
DataServiceDatasetV3Inst: An instance of ‘DataServiceDatasetV3’ Operation with it’s Outputs and Inputs exposed as methods.
DataServiceDatasetV4Inst: An instance of ‘DataServiceDatasetV4’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetCardinality: Builder for the DatasetCardinality operation.
DatasetCardinalityInst: An instance of ‘DatasetCardinality’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetFromGraph: Builder for the DatasetFromGraph operation.
DatasetFromGraphInst: An instance of ‘DatasetFromGraph’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetToGraph: Builder for the DatasetToGraph operation.
DatasetToGraphInst: An instance of ‘DatasetToGraph’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetToGraphV2: Builder for the DatasetToGraphV2 operation.
DatasetToGraphV2Inst: An instance of ‘DatasetToGraphV2’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetToSingleElement: Builder for the DatasetToSingleElement operation.
DatasetToSingleElementInst: An instance of ‘DatasetToSingleElement’ Operation with it’s Outputs and Inputs exposed as methods.
DatasetToTFRecord: Builder for the DatasetToTFRecord operation.
DatasetToTFRecordInst: An instance of ‘DatasetToTFRecord’ Operation with it’s Outputs and Inputs exposed as methods.
Dawsn: Builder for the Dawsn operation.
DawsnInst: An instance of ‘Dawsn’ Operation with it’s Outputs and Inputs exposed as methods.
DebugGradientIdentity: Builder for the DebugGradientIdentity operation.
DebugGradientIdentityInst: An instance of ‘DebugGradientIdentity’ Operation with it’s Outputs and Inputs exposed as methods.
DebugGradientRefIdentity: Builder for the DebugGradientRefIdentity operation.
DebugGradientRefIdentityInst: An instance of ‘DebugGradientRefIdentity’ Operation with it’s Outputs and Inputs exposed as methods.
DebugIdentity: Builder for the DebugIdentity operation.
DebugIdentityInst: An instance of ‘DebugIdentity’ Operation with it’s Outputs and Inputs exposed as methods.
DebugIdentityV2: Builder for the DebugIdentityV2 operation.
DebugIdentityV3: Builder for the DebugIdentityV3 operation.
DebugIdentityV2Inst: An instance of ‘DebugIdentityV2’ Operation with it’s Outputs and Inputs exposed as methods.
DebugIdentityV3Inst: An instance of ‘DebugIdentityV3’ Operation with it’s Outputs and Inputs exposed as methods.
DebugNanCount: Builder for the DebugNanCount operation.
DebugNanCountInst: An instance of ‘DebugNanCount’ Operation with it’s Outputs and Inputs exposed as methods.
DebugNumericSummary: Builder for the DebugNumericSummary operation.
DebugNumericSummaryInst: An instance of ‘DebugNumericSummary’ Operation with it’s Outputs and Inputs exposed as methods.
DebugNumericSummaryV2: Builder for the DebugNumericSummaryV2 operation.
DebugNumericSummaryV2Inst: An instance of ‘DebugNumericSummaryV2’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeAndCropJpeg: Builder for the DecodeAndCropJpeg operation.
DecodeAndCropJpegInst: An instance of ‘DecodeAndCropJpeg’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeBase64: Builder for the DecodeBase64 operation.
DecodeBase64Inst: An instance of ‘DecodeBase64’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeBmp: Builder for the DecodeBmp operation.
DecodeBmpInst: An instance of ‘DecodeBmp’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeCSV: Builder for the DecodeCSV operation.
DecodeCSVInst: An instance of ‘DecodeCSV’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeCompressed: Builder for the DecodeCompressed operation.
DecodeCompressedInst: An instance of ‘DecodeCompressed’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeGif: Builder for the DecodeGif operation.
DecodeGifInst: An instance of ‘DecodeGif’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeImage: Builder for the DecodeImage operation.
DecodeImageInst: An instance of ‘DecodeImage’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeJSONExample: Builder for the DecodeJSONExample operation.
DecodeJSONExampleInst: An instance of ‘DecodeJSONExample’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeJpeg: Builder for the DecodeJpeg operation.
DecodeJpegInst: An instance of ‘DecodeJpeg’ Operation with it’s Outputs and Inputs exposed as methods.
DecodePaddedRaw: Builder for the DecodePaddedRaw operation.
DecodePaddedRawInst: An instance of ‘DecodePaddedRaw’ Operation with it’s Outputs and Inputs exposed as methods.
DecodePng: Builder for the DecodePng operation.
DecodePngInst: An instance of ‘DecodePng’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeProtoV2: Builder for the DecodeProtoV2 operation.
DecodeProtoV2Inst: An instance of ‘DecodeProtoV2’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeRaw: Builder for the DecodeRaw operation.
DecodeRawInst: An instance of ‘DecodeRaw’ Operation with it’s Outputs and Inputs exposed as methods.
DecodeWav: Builder for the DecodeWav operation.
DecodeWavInst: An instance of ‘DecodeWav’ Operation with it’s Outputs and Inputs exposed as methods.
DeepCopy: Builder for the DeepCopy operation.
DeepCopyInst: An instance of ‘DeepCopy’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteIterator: Builder for the DeleteIterator operation.
DeleteIteratorInst: An instance of ‘DeleteIterator’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteMemoryCache: Builder for the DeleteMemoryCache operation.
DeleteMemoryCacheInst: An instance of ‘DeleteMemoryCache’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteMultiDeviceIterator: Builder for the DeleteMultiDeviceIterator operation.
DeleteMultiDeviceIteratorInst: An instance of ‘DeleteMultiDeviceIterator’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteRandomSeedGenerator: Builder for the DeleteRandomSeedGenerator operation.
DeleteRandomSeedGeneratorInst: An instance of ‘DeleteRandomSeedGenerator’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteSeedGenerator: Builder for the DeleteSeedGenerator operation.
DeleteSeedGeneratorInst: An instance of ‘DeleteSeedGenerator’ Operation with it’s Outputs and Inputs exposed as methods.
DeleteSessionTensor: Builder for the DeleteSessionTensor operation.
DeleteSessionTensorInst: An instance of ‘DeleteSessionTensor’ Operation with it’s Outputs and Inputs exposed as methods.
DenseBincount: Builder for the DenseBincount operation.
DenseBincountInst: An instance of ‘DenseBincount’ Operation with it’s Outputs and Inputs exposed as methods.
DenseCountSparseOutput: Builder for the DenseCountSparseOutput operation.
DenseCountSparseOutputInst: An instance of ‘DenseCountSparseOutput’ Operation with it’s Outputs and Inputs exposed as methods.
DenseToCSRSparseMatrix: Builder for the DenseToCSRSparseMatrix operation.
DenseToCSRSparseMatrixInst: An instance of ‘DenseToCSRSparseMatrix’ Operation with it’s Outputs and Inputs exposed as methods.
DenseToDenseSetOperation: Builder for the DenseToDenseSetOperation operation.
DenseToDenseSetOperationInst: An instance of ‘DenseToDenseSetOperation’ Operation with it’s Outputs and Inputs exposed as methods.
DenseToSparseBatchDataset: Builder for the DenseToSparseBatchDataset operation.
DenseToSparseBatchDatasetInst: An instance of ‘DenseToSparseBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
DenseToSparseSetOperation: Builder for the DenseToSparseSetOperation operation.
DenseToSparseSetOperationInst: An instance of ‘DenseToSparseSetOperation’ Operation with it’s Outputs and Inputs exposed as methods.
DepthToSpace: Builder for the DepthToSpace operation.
DepthToSpaceInst: An instance of ‘DepthToSpace’ Operation with it’s Outputs and Inputs exposed as methods.
DepthwiseConv2dNative: Builder for the DepthwiseConv2dNative operation.
DepthwiseConv2dNativeBackpropFilter: Builder for the DepthwiseConv2dNativeBackpropFilter operation.
DepthwiseConv2dNativeBackpropFilterInst: An instance of ‘DepthwiseConv2dNativeBackpropFilter’ Operation with it’s Outputs and Inputs exposed as methods.
DepthwiseConv2dNativeBackpropInput: Builder for the DepthwiseConv2dNativeBackpropInput operation.
DepthwiseConv2dNativeBackpropInputInst: An instance of ‘DepthwiseConv2dNativeBackpropInput’ Operation with it’s Outputs and Inputs exposed as methods.
DepthwiseConv2dNativeInst: An instance of ‘DepthwiseConv2dNative’ Operation with it’s Outputs and Inputs exposed as methods.
Dequantize: Builder for the Dequantize operation.
DequantizeInst: An instance of ‘Dequantize’ Operation with it’s Outputs and Inputs exposed as methods.
DeserializeIterator: Builder for the DeserializeIterator operation.
DeserializeIteratorInst: An instance of ‘DeserializeIterator’ Operation with it’s Outputs and Inputs exposed as methods.
DeserializeManySparse: Builder for the DeserializeManySparse operation.
DeserializeManySparseInst: An instance of ‘DeserializeManySparse’ Operation with it’s Outputs and Inputs exposed as methods.
DeserializeSparse: Builder for the DeserializeSparse operation.
DeserializeSparseInst: An instance of ‘DeserializeSparse’ Operation with it’s Outputs and Inputs exposed as methods.
DestroyResourceOp: Builder for the DestroyResourceOp operation.
DestroyResourceOpInst: An instance of ‘DestroyResourceOp’ Operation with it’s Outputs and Inputs exposed as methods.
DestroyTemporaryVariable: Builder for the DestroyTemporaryVariable operation.
DestroyTemporaryVariableInst: An instance of ‘DestroyTemporaryVariable’ Operation with it’s Outputs and Inputs exposed as methods.
DeviceIndex: Builder for the DeviceIndex operation.
DeviceIndexInst: An instance of ‘DeviceIndex’ Operation with it’s Outputs and Inputs exposed as methods.
Diag: Builder for the Diag operation.
DiagInst: An instance of ‘Diag’ Operation with it’s Outputs and Inputs exposed as methods.
DiagPart: Builder for the DiagPart operation.
DiagPartInst: An instance of ‘DiagPart’ Operation with it’s Outputs and Inputs exposed as methods.
Digamma: Builder for the Digamma operation.
DigammaInst: An instance of ‘Digamma’ Operation with it’s Outputs and Inputs exposed as methods.
Dilation2D: Builder for the Dilation2D operation.
Dilation2DBackpropFilter: Builder for the Dilation2DBackpropFilter operation.
Dilation2DBackpropFilterInst: An instance of ‘Dilation2DBackpropFilter’ Operation with it’s Outputs and Inputs exposed as methods.
Dilation2DBackpropInput: Builder for the Dilation2DBackpropInput operation.
Dilation2DBackpropInputInst: An instance of ‘Dilation2DBackpropInput’ Operation with it’s Outputs and Inputs exposed as methods.
Dilation2DInst: An instance of ‘Dilation2D’ Operation with it’s Outputs and Inputs exposed as methods.
DirectedInterleaveDataset: Builder for the DirectedInterleaveDataset operation.
DirectedInterleaveDatasetInst: An instance of ‘DirectedInterleaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
DisableCopyOnRead: Builder for the DisableCopyOnRead operation.
DisableCopyOnReadInst: An instance of ‘DisableCopyOnRead’ Operation with it’s Outputs and Inputs exposed as methods.
DistributedSave: Builder for the DistributedSave operation.
DistributedSaveInst: An instance of ‘DistributedSave’ Operation with it’s Outputs and Inputs exposed as methods.
Div: Builder for the Div operation.
DivInst: An instance of ‘Div’ Operation with it’s Outputs and Inputs exposed as methods.
DivNoNan: Builder for the DivNoNan operation.
DivNoNanInst: An instance of ‘DivNoNan’ Operation with it’s Outputs and Inputs exposed as methods.
DrawBoundingBoxes: Builder for the DrawBoundingBoxes operation.
DrawBoundingBoxesInst: An instance of ‘DrawBoundingBoxes’ Operation with it’s Outputs and Inputs exposed as methods.
DrawBoundingBoxesV2: Builder for the DrawBoundingBoxesV2 operation.
DrawBoundingBoxesV2Inst: An instance of ‘DrawBoundingBoxesV2’ Operation with it’s Outputs and Inputs exposed as methods.
DummyIterationCounter: Builder for the DummyIterationCounter operation.
DummyIterationCounterInst: An instance of ‘DummyIterationCounter’ Operation with it’s Outputs and Inputs exposed as methods.
DummyMemoryCache: Builder for the DummyMemoryCache operation.
DummyMemoryCacheInst: An instance of ‘DummyMemoryCache’ Operation with it’s Outputs and Inputs exposed as methods.
DummySeedGenerator: Builder for the DummySeedGenerator operation.
DummySeedGeneratorInst: An instance of ‘DummySeedGenerator’ Operation with it’s Outputs and Inputs exposed as methods.
DynamicEnqueueTPUEmbeddingArbitraryTensorBatch: Builder for the DynamicEnqueueTPUEmbeddingArbitraryTensorBatch operation.
DynamicEnqueueTPUEmbeddingArbitraryTensorBatchInst: An instance of ‘DynamicEnqueueTPUEmbeddingArbitraryTensorBatch’ Operation with it’s Outputs and Inputs exposed as methods.
DynamicPartition: Builder for the DynamicPartition operation.
DynamicPartitionInst: An instance of ‘DynamicPartition’ Operation with it’s Outputs and Inputs exposed as methods.
DynamicStitch: Builder for the DynamicStitch operation.
DynamicStitchInst: An instance of ‘DynamicStitch’ Operation with it’s Outputs and Inputs exposed as methods.
EagerPyFunc: Builder for the EagerPyFunc operation.
EagerPyFuncInst: An instance of ‘EagerPyFunc’ Operation with it’s Outputs and Inputs exposed as methods.
EditDistance: Builder for the EditDistance operation.
EditDistanceInst: An instance of ‘EditDistance’ Operation with it’s Outputs and Inputs exposed as methods.
Eig: Builder for the Eig operation.
EigInst: An instance of ‘Eig’ Operation with it’s Outputs and Inputs exposed as methods.
Einsum: Builder for the Einsum operation.
EinsumInst: An instance of ‘Einsum’ Operation with it’s Outputs and Inputs exposed as methods.
Elu: Builder for the Elu operation.
EluGrad: Builder for the EluGrad operation.
EluGradInst: An instance of ‘EluGrad’ Operation with it’s Outputs and Inputs exposed as methods.
EluInst: An instance of ‘Elu’ Operation with it’s Outputs and Inputs exposed as methods.
Empty: Builder for the Empty operation.
EmptyInst: An instance of ‘Empty’ Operation with it’s Outputs and Inputs exposed as methods.
EmptyTensorList: Builder for the EmptyTensorList operation.
EmptyTensorListInst: An instance of ‘EmptyTensorList’ Operation with it’s Outputs and Inputs exposed as methods.
EmptyTensorMap: Builder for the EmptyTensorMap operation.
EmptyTensorMapInst: An instance of ‘EmptyTensorMap’ Operation with it’s Outputs and Inputs exposed as methods.
EncodeBase64: Builder for the EncodeBase64 operation.
EncodeBase64Inst: An instance of ‘EncodeBase64’ Operation with it’s Outputs and Inputs exposed as methods.
EncodeJpeg: Builder for the EncodeJpeg operation.
EncodeJpegInst: An instance of ‘EncodeJpeg’ Operation with it’s Outputs and Inputs exposed as methods.
EncodeJpegVariableQuality: Builder for the EncodeJpegVariableQuality operation.
EncodeJpegVariableQualityInst: An instance of ‘EncodeJpegVariableQuality’ Operation with it’s Outputs and Inputs exposed as methods.
EncodePng: Builder for the EncodePng operation.
EncodePngInst: An instance of ‘EncodePng’ Operation with it’s Outputs and Inputs exposed as methods.
EncodeProto: Builder for the EncodeProto operation.
EncodeProtoInst: An instance of ‘EncodeProto’ Operation with it’s Outputs and Inputs exposed as methods.
EncodeWav: Builder for the EncodeWav operation.
EncodeWavInst: An instance of ‘EncodeWav’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingArbitraryTensorBatch: Builder for the EnqueueTPUEmbeddingArbitraryTensorBatch operation.
EnqueueTPUEmbeddingArbitraryTensorBatchInst: An instance of ‘EnqueueTPUEmbeddingArbitraryTensorBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingBatch: Builder for the EnqueueTPUEmbeddingBatch operation.
EnqueueTPUEmbeddingBatchInst: An instance of ‘EnqueueTPUEmbeddingBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingIntegerBatch: Builder for the EnqueueTPUEmbeddingIntegerBatch operation.
EnqueueTPUEmbeddingIntegerBatchInst: An instance of ‘EnqueueTPUEmbeddingIntegerBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingRaggedTensorBatch: Builder for the EnqueueTPUEmbeddingRaggedTensorBatch operation.
EnqueueTPUEmbeddingRaggedTensorBatchInst: An instance of ‘EnqueueTPUEmbeddingRaggedTensorBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingSparseBatch: Builder for the EnqueueTPUEmbeddingSparseBatch operation.
EnqueueTPUEmbeddingSparseBatchInst: An instance of ‘EnqueueTPUEmbeddingSparseBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnqueueTPUEmbeddingSparseTensorBatch: Builder for the EnqueueTPUEmbeddingSparseTensorBatch operation.
EnqueueTPUEmbeddingSparseTensorBatchInst: An instance of ‘EnqueueTPUEmbeddingSparseTensorBatch’ Operation with it’s Outputs and Inputs exposed as methods.
EnsureShape: Builder for the EnsureShape operation.
EnsureShapeInst: An instance of ‘EnsureShape’ Operation with it’s Outputs and Inputs exposed as methods.
Enter: Builder for the Enter operation.
EnterInst: An instance of ‘Enter’ Operation with it’s Outputs and Inputs exposed as methods.
Equal: Builder for the Equal operation.
EqualInst: An instance of ‘Equal’ Operation with it’s Outputs and Inputs exposed as methods.
Erf: Builder for the Erf operation.
ErfInst: An instance of ‘Erf’ Operation with it’s Outputs and Inputs exposed as methods.
Erfc: Builder for the Erfc operation.
ErfcInst: An instance of ‘Erfc’ Operation with it’s Outputs and Inputs exposed as methods.
Erfinv: Builder for the Erfinv operation.
ErfinvInst: An instance of ‘Erfinv’ Operation with it’s Outputs and Inputs exposed as methods.
EuclideanNorm: Builder for the EuclideanNorm operation.
EuclideanNormInst: An instance of ‘EuclideanNorm’ Operation with it’s Outputs and Inputs exposed as methods.
ExecuteTPUEmbeddingPartitioner: Builder for the ExecuteTPUEmbeddingPartitioner operation.
ExecuteTPUEmbeddingPartitionerInst: An instance of ‘ExecuteTPUEmbeddingPartitioner’ Operation with it’s Outputs and Inputs exposed as methods.
Exit: Builder for the Exit operation.
ExitInst: An instance of ‘Exit’ Operation with it’s Outputs and Inputs exposed as methods.
Exp: Builder for the Exp operation.
ExpInst: An instance of ‘Exp’ Operation with it’s Outputs and Inputs exposed as methods.
ExpandDims: Builder for the ExpandDims operation.
ExpandDimsInst: An instance of ‘ExpandDims’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalAssertNextDataset: Builder for the ExperimentalAssertNextDataset operation.
ExperimentalAssertNextDatasetInst: An instance of ‘ExperimentalAssertNextDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalAutoShardDataset: Builder for the ExperimentalAutoShardDataset operation.
ExperimentalAutoShardDatasetInst: An instance of ‘ExperimentalAutoShardDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalBytesProducedStatsDataset: Builder for the ExperimentalBytesProducedStatsDataset operation.
ExperimentalBytesProducedStatsDatasetInst: An instance of ‘ExperimentalBytesProducedStatsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalCSVDataset: Builder for the ExperimentalCSVDataset operation.
ExperimentalCSVDatasetInst: An instance of ‘ExperimentalCSVDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalChooseFastestDataset: Builder for the ExperimentalChooseFastestDataset operation.
ExperimentalChooseFastestDatasetInst: An instance of ‘ExperimentalChooseFastestDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalDatasetCardinality: Builder for the ExperimentalDatasetCardinality operation.
ExperimentalDatasetCardinalityInst: An instance of ‘ExperimentalDatasetCardinality’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalDatasetToTFRecord: Builder for the ExperimentalDatasetToTFRecord operation.
ExperimentalDatasetToTFRecordInst: An instance of ‘ExperimentalDatasetToTFRecord’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalDenseToSparseBatchDataset: Builder for the ExperimentalDenseToSparseBatchDataset operation.
ExperimentalDenseToSparseBatchDatasetInst: An instance of ‘ExperimentalDenseToSparseBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalDirectedInterleaveDataset: Builder for the ExperimentalDirectedInterleaveDataset operation.
ExperimentalDirectedInterleaveDatasetInst: An instance of ‘ExperimentalDirectedInterleaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalGroupByReducerDataset: Builder for the ExperimentalGroupByReducerDataset operation.
ExperimentalGroupByReducerDatasetInst: An instance of ‘ExperimentalGroupByReducerDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalGroupByWindowDataset: Builder for the ExperimentalGroupByWindowDataset operation.
ExperimentalGroupByWindowDatasetInst: An instance of ‘ExperimentalGroupByWindowDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalIgnoreErrorsDataset: Builder for the ExperimentalIgnoreErrorsDataset operation.
ExperimentalIgnoreErrorsDatasetInst: An instance of ‘ExperimentalIgnoreErrorsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalIteratorGetDevice: Builder for the ExperimentalIteratorGetDevice operation.
ExperimentalIteratorGetDeviceInst: An instance of ‘ExperimentalIteratorGetDevice’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalLMDBDataset: Builder for the ExperimentalLMDBDataset operation.
ExperimentalLMDBDatasetInst: An instance of ‘ExperimentalLMDBDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalLatencyStatsDataset: Builder for the ExperimentalLatencyStatsDataset operation.
ExperimentalLatencyStatsDatasetInst: An instance of ‘ExperimentalLatencyStatsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalMapAndBatchDataset: Builder for the ExperimentalMapAndBatchDataset operation.
ExperimentalMapAndBatchDatasetInst: An instance of ‘ExperimentalMapAndBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalMapDataset: Builder for the ExperimentalMapDataset operation.
ExperimentalMapDatasetInst: An instance of ‘ExperimentalMapDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalMatchingFilesDataset: Builder for the ExperimentalMatchingFilesDataset operation.
ExperimentalMatchingFilesDatasetInst: An instance of ‘ExperimentalMatchingFilesDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalMaxIntraOpParallelismDataset: Builder for the ExperimentalMaxIntraOpParallelismDataset operation.
ExperimentalMaxIntraOpParallelismDatasetInst: An instance of ‘ExperimentalMaxIntraOpParallelismDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalNonSerializableDataset: Builder for the ExperimentalNonSerializableDataset operation.
ExperimentalNonSerializableDatasetInst: An instance of ‘ExperimentalNonSerializableDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalParallelInterleaveDataset: Builder for the ExperimentalParallelInterleaveDataset operation.
ExperimentalParallelInterleaveDatasetInst: An instance of ‘ExperimentalParallelInterleaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalParseExampleDataset: Builder for the ExperimentalParseExampleDataset operation.
ExperimentalParseExampleDatasetInst: An instance of ‘ExperimentalParseExampleDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalPrivateThreadPoolDataset: Builder for the ExperimentalPrivateThreadPoolDataset operation.
ExperimentalPrivateThreadPoolDatasetInst: An instance of ‘ExperimentalPrivateThreadPoolDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalRandomDataset: Builder for the ExperimentalRandomDataset operation.
ExperimentalRandomDatasetInst: An instance of ‘ExperimentalRandomDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalRebatchDataset: Builder for the ExperimentalRebatchDataset operation.
ExperimentalRebatchDatasetInst: An instance of ‘ExperimentalRebatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalScanDataset: Builder for the ExperimentalScanDataset operation.
ExperimentalScanDatasetInst: An instance of ‘ExperimentalScanDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalSetStatsAggregatorDataset: Builder for the ExperimentalSetStatsAggregatorDataset operation.
ExperimentalSetStatsAggregatorDatasetInst: An instance of ‘ExperimentalSetStatsAggregatorDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalSleepDataset: Builder for the ExperimentalSleepDataset operation.
ExperimentalSleepDatasetInst: An instance of ‘ExperimentalSleepDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalSlidingWindowDataset: Builder for the ExperimentalSlidingWindowDataset operation.
ExperimentalSlidingWindowDatasetInst: An instance of ‘ExperimentalSlidingWindowDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalSqlDataset: Builder for the ExperimentalSqlDataset operation.
ExperimentalSqlDatasetInst: An instance of ‘ExperimentalSqlDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalStatsAggregatorHandle: Builder for the ExperimentalStatsAggregatorHandle operation.
ExperimentalStatsAggregatorHandleInst: An instance of ‘ExperimentalStatsAggregatorHandle’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalStatsAggregatorSummary: Builder for the ExperimentalStatsAggregatorSummary operation.
ExperimentalStatsAggregatorSummaryInst: An instance of ‘ExperimentalStatsAggregatorSummary’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalTakeWhileDataset: Builder for the ExperimentalTakeWhileDataset operation.
ExperimentalTakeWhileDatasetInst: An instance of ‘ExperimentalTakeWhileDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalThreadPoolDataset: Builder for the ExperimentalThreadPoolDataset operation.
ExperimentalThreadPoolDatasetInst: An instance of ‘ExperimentalThreadPoolDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalThreadPoolHandle: Builder for the ExperimentalThreadPoolHandle operation.
ExperimentalThreadPoolHandleInst: An instance of ‘ExperimentalThreadPoolHandle’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalUnbatchDataset: Builder for the ExperimentalUnbatchDataset operation.
ExperimentalUnbatchDatasetInst: An instance of ‘ExperimentalUnbatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ExperimentalUniqueDataset: Builder for the ExperimentalUniqueDataset operation.
ExperimentalUniqueDatasetInst: An instance of ‘ExperimentalUniqueDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Expint: Builder for the Expint operation.
ExpintInst: An instance of ‘Expint’ Operation with it’s Outputs and Inputs exposed as methods.
Expm1: Builder for the Expm1 operation.
Expm1Inst: An instance of ‘Expm1’ Operation with it’s Outputs and Inputs exposed as methods.
ExtractGlimpse: Builder for the ExtractGlimpse operation.
ExtractGlimpseInst: An instance of ‘ExtractGlimpse’ Operation with it’s Outputs and Inputs exposed as methods.
ExtractGlimpseV2: Builder for the ExtractGlimpseV2 operation.
ExtractGlimpseV2Inst: An instance of ‘ExtractGlimpseV2’ Operation with it’s Outputs and Inputs exposed as methods.
ExtractImagePatches: Builder for the ExtractImagePatches operation.
ExtractImagePatchesInst: An instance of ‘ExtractImagePatches’ Operation with it’s Outputs and Inputs exposed as methods.
ExtractJpegShape: Builder for the ExtractJpegShape operation.
ExtractJpegShapeInst: An instance of ‘ExtractJpegShape’ Operation with it’s Outputs and Inputs exposed as methods.
ExtractVolumePatches: Builder for the ExtractVolumePatches operation.
ExtractVolumePatchesInst: An instance of ‘ExtractVolumePatches’ Operation with it’s Outputs and Inputs exposed as methods.
FFT: Builder for the FFT operation.
FFT2D: Builder for the FFT2D operation.
FFT2DInst: An instance of ‘FFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
FFT3D: Builder for the FFT3D operation.
FFT3DInst: An instance of ‘FFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
FFTInst: An instance of ‘FFT’ Operation with it’s Outputs and Inputs exposed as methods.
FIFOQueue: Builder for the FIFOQueue operation.
FIFOQueueInst: An instance of ‘FIFOQueue’ Operation with it’s Outputs and Inputs exposed as methods.
FIFOQueueV2: Builder for the FIFOQueueV2 operation.
FIFOQueueV2Inst: An instance of ‘FIFOQueueV2’ Operation with it’s Outputs and Inputs exposed as methods.
Fact: Builder for the Fact operation.
FactInst: An instance of ‘Fact’ Operation with it’s Outputs and Inputs exposed as methods.
FakeParam: Builder for the FakeParam operation.
FakeParamInst: An instance of ‘FakeParam’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxArgs: Builder for the FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient: Builder for the FakeQuantWithMinMaxArgsGradient operation.
FakeQuantWithMinMaxArgsGradientInst: An instance of ‘FakeQuantWithMinMaxArgsGradient’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxArgsInst: An instance of ‘FakeQuantWithMinMaxArgs’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxVars: Builder for the FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient: Builder for the FakeQuantWithMinMaxVarsGradient operation.
FakeQuantWithMinMaxVarsGradientInst: An instance of ‘FakeQuantWithMinMaxVarsGradient’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxVarsInst: An instance of ‘FakeQuantWithMinMaxVars’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxVarsPerChannel: Builder for the FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient: Builder for the FakeQuantWithMinMaxVarsPerChannelGradient operation.
FakeQuantWithMinMaxVarsPerChannelGradientInst: An instance of ‘FakeQuantWithMinMaxVarsPerChannelGradient’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQuantWithMinMaxVarsPerChannelInst: An instance of ‘FakeQuantWithMinMaxVarsPerChannel’ Operation with it’s Outputs and Inputs exposed as methods.
FakeQueue: Builder for the FakeQueue operation.
FakeQueueInst: An instance of ‘FakeQueue’ Operation with it’s Outputs and Inputs exposed as methods.
FileSystemSetConfiguration: Builder for the FileSystemSetConfiguration operation.
FileSystemSetConfigurationInst: An instance of ‘FileSystemSetConfiguration’ Operation with it’s Outputs and Inputs exposed as methods.
Fill: Builder for the Fill operation.
FillInst: An instance of ‘Fill’ Operation with it’s Outputs and Inputs exposed as methods.
FilterByLastComponentDataset: Builder for the FilterByLastComponentDataset operation.
FilterByLastComponentDatasetInst: An instance of ‘FilterByLastComponentDataset’ Operation with it’s Outputs and Inputs exposed as methods.
FilterDataset: Builder for the FilterDataset operation.
FilterDatasetInst: An instance of ‘FilterDataset’ Operation with it’s Outputs and Inputs exposed as methods.
FinalizeDataset: Builder for the FinalizeDataset operation.
FinalizeDatasetInst: An instance of ‘FinalizeDataset’ Operation with it’s Outputs and Inputs exposed as methods.
FinalizeTPUEmbedding: Builder for the FinalizeTPUEmbedding operation.
FinalizeTPUEmbeddingInst: An instance of ‘FinalizeTPUEmbedding’ Operation with it’s Outputs and Inputs exposed as methods.
Fingerprint: Builder for the Fingerprint operation.
FingerprintInst: An instance of ‘Fingerprint’ Operation with it’s Outputs and Inputs exposed as methods.
FixedLengthRecordDataset: Builder for the FixedLengthRecordDataset operation.
FixedLengthRecordDatasetInst: An instance of ‘FixedLengthRecordDataset’ Operation with it’s Outputs and Inputs exposed as methods.
FixedLengthRecordDatasetV2: Builder for the FixedLengthRecordDatasetV2 operation.
FixedLengthRecordDatasetV2Inst: An instance of ‘FixedLengthRecordDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
FixedLengthRecordReader: Builder for the FixedLengthRecordReader operation.
FixedLengthRecordReaderInst: An instance of ‘FixedLengthRecordReader’ Operation with it’s Outputs and Inputs exposed as methods.
FixedLengthRecordReaderV2: Builder for the FixedLengthRecordReaderV2 operation.
FixedLengthRecordReaderV2Inst: An instance of ‘FixedLengthRecordReaderV2’ Operation with it’s Outputs and Inputs exposed as methods.
FixedUnigramCandidateSampler: Builder for the FixedUnigramCandidateSampler operation.
FixedUnigramCandidateSamplerInst: An instance of ‘FixedUnigramCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
FlatMapDataset: Builder for the FlatMapDataset operation.
FlatMapDatasetInst: An instance of ‘FlatMapDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Floor: Builder for the Floor operation.
FloorDiv: Builder for the FloorDiv operation.
FloorDivInst: An instance of ‘FloorDiv’ Operation with it’s Outputs and Inputs exposed as methods.
FloorInst: An instance of ‘Floor’ Operation with it’s Outputs and Inputs exposed as methods.
FloorMod: Builder for the FloorMod operation.
FloorModInst: An instance of ‘FloorMod’ Operation with it’s Outputs and Inputs exposed as methods.
FlushSummaryWriter: Builder for the FlushSummaryWriter operation.
FlushSummaryWriterInst: An instance of ‘FlushSummaryWriter’ Operation with it’s Outputs and Inputs exposed as methods.
For: Builder for the For operation.
ForInst: An instance of ‘For’ Operation with it’s Outputs and Inputs exposed as methods.
FractionalAvgPool: Builder for the FractionalAvgPool operation.
FractionalAvgPoolGrad: Builder for the FractionalAvgPoolGrad operation.
FractionalAvgPoolGradInst: An instance of ‘FractionalAvgPoolGrad’ Operation with it’s Outputs and Inputs exposed as methods.
FractionalAvgPoolInst: An instance of ‘FractionalAvgPool’ Operation with it’s Outputs and Inputs exposed as methods.
FractionalMaxPool: Builder for the FractionalMaxPool operation.
FractionalMaxPoolGrad: Builder for the FractionalMaxPoolGrad operation.
FractionalMaxPoolGradInst: An instance of ‘FractionalMaxPoolGrad’ Operation with it’s Outputs and Inputs exposed as methods.
FractionalMaxPoolInst: An instance of ‘FractionalMaxPool’ Operation with it’s Outputs and Inputs exposed as methods.
FresnelCos: Builder for the FresnelCos operation.
FresnelCosInst: An instance of ‘FresnelCos’ Operation with it’s Outputs and Inputs exposed as methods.
FresnelSin: Builder for the FresnelSin operation.
FresnelSinInst: An instance of ‘FresnelSin’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNorm: Builder for the FusedBatchNorm operation.
FusedBatchNormGrad: Builder for the FusedBatchNormGrad operation.
FusedBatchNormGradInst: An instance of ‘FusedBatchNormGrad’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNormGradV2: Builder for the FusedBatchNormGradV2 operation.
FusedBatchNormGradV3: Builder for the FusedBatchNormGradV3 operation.
FusedBatchNormGradV2Inst: An instance of ‘FusedBatchNormGradV2’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNormGradV3Inst: An instance of ‘FusedBatchNormGradV3’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNormInst: An instance of ‘FusedBatchNorm’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNormV2: Builder for the FusedBatchNormV2 operation.
FusedBatchNormV3: Builder for the FusedBatchNormV3 operation.
FusedBatchNormV2Inst: An instance of ‘FusedBatchNormV2’ Operation with it’s Outputs and Inputs exposed as methods.
FusedBatchNormV3Inst: An instance of ‘FusedBatchNormV3’ Operation with it’s Outputs and Inputs exposed as methods.
FusedPadConv2D: Builder for the FusedPadConv2D operation.
FusedPadConv2DInst: An instance of ‘FusedPadConv2D’ Operation with it’s Outputs and Inputs exposed as methods.
FusedResizeAndPadConv2D: Builder for the FusedResizeAndPadConv2D operation.
FusedResizeAndPadConv2DInst: An instance of ‘FusedResizeAndPadConv2D’ Operation with it’s Outputs and Inputs exposed as methods.
GRUBlockCell: Builder for the GRUBlockCell operation.
GRUBlockCellGrad: Builder for the GRUBlockCellGrad operation.
GRUBlockCellGradInst: An instance of ‘GRUBlockCellGrad’ Operation with it’s Outputs and Inputs exposed as methods.
GRUBlockCellInst: An instance of ‘GRUBlockCell’ Operation with it’s Outputs and Inputs exposed as methods.
Gather: Builder for the Gather operation.
GatherInst: An instance of ‘Gather’ Operation with it’s Outputs and Inputs exposed as methods.
GatherNd: Builder for the GatherNd operation.
GatherNdInst: An instance of ‘GatherNd’ Operation with it’s Outputs and Inputs exposed as methods.
GatherV2: Builder for the GatherV2 operation.
GatherV2Inst: An instance of ‘GatherV2’ Operation with it’s Outputs and Inputs exposed as methods.
GenerateBoundingBoxProposals: Builder for the GenerateBoundingBoxProposals operation.
GenerateBoundingBoxProposalsInst: An instance of ‘GenerateBoundingBoxProposals’ Operation with it’s Outputs and Inputs exposed as methods.
GenerateVocabRemapping: Builder for the GenerateVocabRemapping operation.
GenerateVocabRemappingInst: An instance of ‘GenerateVocabRemapping’ Operation with it’s Outputs and Inputs exposed as methods.
GeneratorDataset: Builder for the GeneratorDataset operation.
GeneratorDatasetInst: An instance of ‘GeneratorDataset’ Operation with it’s Outputs and Inputs exposed as methods.
GetElementAtIndex: Builder for the GetElementAtIndex operation.
GetElementAtIndexInst: An instance of ‘GetElementAtIndex’ Operation with it’s Outputs and Inputs exposed as methods.
GetOptions: Builder for the GetOptions operation.
GetOptionsInst: An instance of ‘GetOptions’ Operation with it’s Outputs and Inputs exposed as methods.
GetSessionHandle: Builder for the GetSessionHandle operation.
GetSessionHandleInst: An instance of ‘GetSessionHandle’ Operation with it’s Outputs and Inputs exposed as methods.
GetSessionHandleV2: Builder for the GetSessionHandleV2 operation.
GetSessionHandleV2Inst: An instance of ‘GetSessionHandleV2’ Operation with it’s Outputs and Inputs exposed as methods.
GetSessionTensor: Builder for the GetSessionTensor operation.
GetSessionTensorInst: An instance of ‘GetSessionTensor’ Operation with it’s Outputs and Inputs exposed as methods.
Greater: Builder for the Greater operation.
GreaterEqual: Builder for the GreaterEqual operation.
GreaterEqualInst: An instance of ‘GreaterEqual’ Operation with it’s Outputs and Inputs exposed as methods.
GreaterInst: An instance of ‘Greater’ Operation with it’s Outputs and Inputs exposed as methods.
GroupByReducerDataset: Builder for the GroupByReducerDataset operation.
GroupByReducerDatasetInst: An instance of ‘GroupByReducerDataset’ Operation with it’s Outputs and Inputs exposed as methods.
GroupByWindowDataset: Builder for the GroupByWindowDataset operation.
GroupByWindowDatasetInst: An instance of ‘GroupByWindowDataset’ Operation with it’s Outputs and Inputs exposed as methods.
GuaranteeConst: Builder for the GuaranteeConst operation.
GuaranteeConstInst: An instance of ‘GuaranteeConst’ Operation with it’s Outputs and Inputs exposed as methods.
HSVToRGB: Builder for the HSVToRGB operation.
HSVToRGBInst: An instance of ‘HSVToRGB’ Operation with it’s Outputs and Inputs exposed as methods.
HashTable: Builder for the HashTable operation.
HashTableInst: An instance of ‘HashTable’ Operation with it’s Outputs and Inputs exposed as methods.
HashTableV2: Builder for the HashTableV2 operation.
HashTableV2Inst: An instance of ‘HashTableV2’ Operation with it’s Outputs and Inputs exposed as methods.
HistogramFixedWidth: Builder for the HistogramFixedWidth operation.
HistogramFixedWidthInst: An instance of ‘HistogramFixedWidth’ Operation with it’s Outputs and Inputs exposed as methods.
HistogramSummary: Builder for the HistogramSummary operation.
HistogramSummaryInst: An instance of ‘HistogramSummary’ Operation with it’s Outputs and Inputs exposed as methods.
HostConst: Builder for the HostConst operation.
HostConstInst: An instance of ‘HostConst’ Operation with it’s Outputs and Inputs exposed as methods.
IFFT: Builder for the IFFT operation.
IFFT2D: Builder for the IFFT2D operation.
IFFT2DInst: An instance of ‘IFFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
IFFT3D: Builder for the IFFT3D operation.
IFFT3DInst: An instance of ‘IFFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
IFFTInst: An instance of ‘IFFT’ Operation with it’s Outputs and Inputs exposed as methods.
IRFFT: Builder for the IRFFT operation.
IRFFT2D: Builder for the IRFFT2D operation.
IRFFT2DInst: An instance of ‘IRFFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
IRFFT3D: Builder for the IRFFT3D operation.
IRFFT3DInst: An instance of ‘IRFFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
IRFFTInst: An instance of ‘IRFFT’ Operation with it’s Outputs and Inputs exposed as methods.
Identity: Builder for the Identity operation.
IdentityInst: An instance of ‘Identity’ Operation with it’s Outputs and Inputs exposed as methods.
IdentityN: Builder for the IdentityN operation.
IdentityNInst: An instance of ‘IdentityN’ Operation with it’s Outputs and Inputs exposed as methods.
IdentityReader: Builder for the IdentityReader operation.
IdentityReaderInst: An instance of ‘IdentityReader’ Operation with it’s Outputs and Inputs exposed as methods.
IdentityReaderV2: Builder for the IdentityReaderV2 operation.
IdentityReaderV2Inst: An instance of ‘IdentityReaderV2’ Operation with it’s Outputs and Inputs exposed as methods.
If: Builder for the If operation.
IfInst: An instance of ‘If’ Operation with it’s Outputs and Inputs exposed as methods.
Igamma: Builder for the Igamma operation.
IgammaGradA: Builder for the IgammaGradA operation.
IgammaGradAInst: An instance of ‘IgammaGradA’ Operation with it’s Outputs and Inputs exposed as methods.
IgammaInst: An instance of ‘Igamma’ Operation with it’s Outputs and Inputs exposed as methods.
Igammac: Builder for the Igammac operation.
IgammacInst: An instance of ‘Igammac’ Operation with it’s Outputs and Inputs exposed as methods.
IgnoreErrorsDataset: Builder for the IgnoreErrorsDataset operation.
IgnoreErrorsDatasetInst: An instance of ‘IgnoreErrorsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Imag: Builder for the Imag operation.
ImagInst: An instance of ‘Imag’ Operation with it’s Outputs and Inputs exposed as methods.
ImageProjectiveTransformV2: Builder for the ImageProjectiveTransformV2 operation.
ImageProjectiveTransformV3: Builder for the ImageProjectiveTransformV3 operation.
ImageProjectiveTransformV2Inst: An instance of ‘ImageProjectiveTransformV2’ Operation with it’s Outputs and Inputs exposed as methods.
ImageProjectiveTransformV3Inst: An instance of ‘ImageProjectiveTransformV3’ Operation with it’s Outputs and Inputs exposed as methods.
ImageSummary: Builder for the ImageSummary operation.
ImageSummaryInst: An instance of ‘ImageSummary’ Operation with it’s Outputs and Inputs exposed as methods.
ImmutableConst: Builder for the ImmutableConst operation.
ImmutableConstInst: An instance of ‘ImmutableConst’ Operation with it’s Outputs and Inputs exposed as methods.
ImportEvent: Builder for the ImportEvent operation.
ImportEventInst: An instance of ‘ImportEvent’ Operation with it’s Outputs and Inputs exposed as methods.
InTopK: Builder for the InTopK operation.
InTopKInst: An instance of ‘InTopK’ Operation with it’s Outputs and Inputs exposed as methods.
InTopKV2: Builder for the InTopKV2 operation.
InTopKV2Inst: An instance of ‘InTopKV2’ Operation with it’s Outputs and Inputs exposed as methods.
InfeedDequeue: Builder for the InfeedDequeue operation.
InfeedDequeueInst: An instance of ‘InfeedDequeue’ Operation with it’s Outputs and Inputs exposed as methods.
InfeedDequeueTuple: Builder for the InfeedDequeueTuple operation.
InfeedDequeueTupleInst: An instance of ‘InfeedDequeueTuple’ Operation with it’s Outputs and Inputs exposed as methods.
InfeedEnqueue: Builder for the InfeedEnqueue operation.
InfeedEnqueueInst: An instance of ‘InfeedEnqueue’ Operation with it’s Outputs and Inputs exposed as methods.
InfeedEnqueuePrelinearizedBuffer: Builder for the InfeedEnqueuePrelinearizedBuffer operation.
InfeedEnqueuePrelinearizedBufferInst: An instance of ‘InfeedEnqueuePrelinearizedBuffer’ Operation with it’s Outputs and Inputs exposed as methods.
InfeedEnqueueTuple: Builder for the InfeedEnqueueTuple operation.
InfeedEnqueueTupleInst: An instance of ‘InfeedEnqueueTuple’ Operation with it’s Outputs and Inputs exposed as methods.
InitializeTable: Builder for the InitializeTable operation.
InitializeTableFromDataset: Builder for the InitializeTableFromDataset operation.
InitializeTableFromDatasetInst: An instance of ‘InitializeTableFromDataset’ Operation with it’s Outputs and Inputs exposed as methods.
InitializeTableFromTextFile: Builder for the InitializeTableFromTextFile operation.
InitializeTableFromTextFileInst: An instance of ‘InitializeTableFromTextFile’ Operation with it’s Outputs and Inputs exposed as methods.
InitializeTableFromTextFileV2: Builder for the InitializeTableFromTextFileV2 operation.
InitializeTableFromTextFileV2Inst: An instance of ‘InitializeTableFromTextFileV2’ Operation with it’s Outputs and Inputs exposed as methods.
InitializeTableInst: An instance of ‘InitializeTable’ Operation with it’s Outputs and Inputs exposed as methods.
InitializeTableV2: Builder for the InitializeTableV2 operation.
InitializeTableV2Inst: An instance of ‘InitializeTableV2’ Operation with it’s Outputs and Inputs exposed as methods.
InplaceAdd: Builder for the InplaceAdd operation.
InplaceAddInst: An instance of ‘InplaceAdd’ Operation with it’s Outputs and Inputs exposed as methods.
InplaceSub: Builder for the InplaceSub operation.
InplaceSubInst: An instance of ‘InplaceSub’ Operation with it’s Outputs and Inputs exposed as methods.
InplaceUpdate: Builder for the InplaceUpdate operation.
InplaceUpdateInst: An instance of ‘InplaceUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
InterleaveDataset: Builder for the InterleaveDataset operation.
InterleaveDatasetInst: An instance of ‘InterleaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Inv: Builder for the Inv operation.
InvGrad: Builder for the InvGrad operation.
InvGradInst: An instance of ‘InvGrad’ Operation with it’s Outputs and Inputs exposed as methods.
InvInst: An instance of ‘Inv’ Operation with it’s Outputs and Inputs exposed as methods.
Invert: Builder for the Invert operation.
InvertInst: An instance of ‘Invert’ Operation with it’s Outputs and Inputs exposed as methods.
InvertPermutation: Builder for the InvertPermutation operation.
InvertPermutationInst: An instance of ‘InvertPermutation’ Operation with it’s Outputs and Inputs exposed as methods.
IsBoostedTreesEnsembleInitialized: Builder for the IsBoostedTreesEnsembleInitialized operation.
IsBoostedTreesEnsembleInitializedInst: An instance of ‘IsBoostedTreesEnsembleInitialized’ Operation with it’s Outputs and Inputs exposed as methods.
IsBoostedTreesQuantileStreamResourceInitialized: Builder for the IsBoostedTreesQuantileStreamResourceInitialized operation.
IsBoostedTreesQuantileStreamResourceInitializedInst: An instance of ‘IsBoostedTreesQuantileStreamResourceInitialized’ Operation with it’s Outputs and Inputs exposed as methods.
IsFinite: Builder for the IsFinite operation.
IsFiniteInst: An instance of ‘IsFinite’ Operation with it’s Outputs and Inputs exposed as methods.
IsInf: Builder for the IsInf operation.
IsInfInst: An instance of ‘IsInf’ Operation with it’s Outputs and Inputs exposed as methods.
IsNan: Builder for the IsNan operation.
IsNanInst: An instance of ‘IsNan’ Operation with it’s Outputs and Inputs exposed as methods.
IsTPUEmbeddingInitialized: Builder for the IsTPUEmbeddingInitialized operation.
IsTPUEmbeddingInitializedInst: An instance of ‘IsTPUEmbeddingInitialized’ Operation with it’s Outputs and Inputs exposed as methods.
IsVariableInitialized: Builder for the IsVariableInitialized operation.
IsVariableInitializedInst: An instance of ‘IsVariableInitialized’ Operation with it’s Outputs and Inputs exposed as methods.
IsotonicRegression: Builder for the IsotonicRegression operation.
IsotonicRegressionInst: An instance of ‘IsotonicRegression’ Operation with it’s Outputs and Inputs exposed as methods.
Iterator: Builder for the Iterator operation.
IteratorFromStringHandle: Builder for the IteratorFromStringHandle operation.
IteratorFromStringHandleInst: An instance of ‘IteratorFromStringHandle’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorFromStringHandleV2: Builder for the IteratorFromStringHandleV2 operation.
IteratorFromStringHandleV2Inst: An instance of ‘IteratorFromStringHandleV2’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorGetDevice: Builder for the IteratorGetDevice operation.
IteratorGetDeviceInst: An instance of ‘IteratorGetDevice’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorGetNext: Builder for the IteratorGetNext operation.
IteratorGetNextAsOptional: Builder for the IteratorGetNextAsOptional operation.
IteratorGetNextAsOptionalInst: An instance of ‘IteratorGetNextAsOptional’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorGetNextInst: An instance of ‘IteratorGetNext’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorGetNextSync: Builder for the IteratorGetNextSync operation.
IteratorGetNextSyncInst: An instance of ‘IteratorGetNextSync’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorInst: An instance of ‘Iterator’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorToStringHandle: Builder for the IteratorToStringHandle operation.
IteratorToStringHandleInst: An instance of ‘IteratorToStringHandle’ Operation with it’s Outputs and Inputs exposed as methods.
IteratorV2: Builder for the IteratorV2 operation.
IteratorV2Inst: An instance of ‘IteratorV2’ Operation with it’s Outputs and Inputs exposed as methods.
KMC2ChainInitialization: Builder for the KMC2ChainInitialization operation.
KMC2ChainInitializationInst: An instance of ‘KMC2ChainInitialization’ Operation with it’s Outputs and Inputs exposed as methods.
KmeansPlusPlusInitialization: Builder for the KmeansPlusPlusInitialization operation.
KmeansPlusPlusInitializationInst: An instance of ‘KmeansPlusPlusInitialization’ Operation with it’s Outputs and Inputs exposed as methods.
KthOrderStatistic: Builder for the KthOrderStatistic operation.
KthOrderStatisticInst: An instance of ‘KthOrderStatistic’ Operation with it’s Outputs and Inputs exposed as methods.
L2Loss: Builder for the L2Loss operation.
L2LossInst: An instance of ‘L2Loss’ Operation with it’s Outputs and Inputs exposed as methods.
LMDBDataset: Builder for the LMDBDataset operation.
LMDBDatasetInst: An instance of ‘LMDBDataset’ Operation with it’s Outputs and Inputs exposed as methods.
LMDBReader: Builder for the LMDBReader operation.
LMDBReaderInst: An instance of ‘LMDBReader’ Operation with it’s Outputs and Inputs exposed as methods.
LRN: Builder for the LRN operation.
LRNGrad: Builder for the LRNGrad operation.
LRNGradInst: An instance of ‘LRNGrad’ Operation with it’s Outputs and Inputs exposed as methods.
LRNInst: An instance of ‘LRN’ Operation with it’s Outputs and Inputs exposed as methods.
LSTMBlockCell: Builder for the LSTMBlockCell operation.
LSTMBlockCellGrad: Builder for the LSTMBlockCellGrad operation.
LSTMBlockCellGradInst: An instance of ‘LSTMBlockCellGrad’ Operation with it’s Outputs and Inputs exposed as methods.
LSTMBlockCellInst: An instance of ‘LSTMBlockCell’ Operation with it’s Outputs and Inputs exposed as methods.
LatencyStatsDataset: Builder for the LatencyStatsDataset operation.
LatencyStatsDatasetInst: An instance of ‘LatencyStatsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
LeakyRelu: Builder for the LeakyRelu operation.
LeakyReluGrad: Builder for the LeakyReluGrad operation.
LeakyReluGradInst: An instance of ‘LeakyReluGrad’ Operation with it’s Outputs and Inputs exposed as methods.
LeakyReluInst: An instance of ‘LeakyRelu’ Operation with it’s Outputs and Inputs exposed as methods.
LearnedUnigramCandidateSampler: Builder for the LearnedUnigramCandidateSampler operation.
LearnedUnigramCandidateSamplerInst: An instance of ‘LearnedUnigramCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
LeftShift: Builder for the LeftShift operation.
LeftShiftInst: An instance of ‘LeftShift’ Operation with it’s Outputs and Inputs exposed as methods.
LegacyParallelInterleaveDatasetV2: Builder for the LegacyParallelInterleaveDatasetV2 operation.
LegacyParallelInterleaveDatasetV2Inst: An instance of ‘LegacyParallelInterleaveDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
Less: Builder for the Less operation.
LessEqual: Builder for the LessEqual operation.
LessEqualInst: An instance of ‘LessEqual’ Operation with it’s Outputs and Inputs exposed as methods.
LessInst: An instance of ‘Less’ Operation with it’s Outputs and Inputs exposed as methods.
Lgamma: Builder for the Lgamma operation.
LgammaInst: An instance of ‘Lgamma’ Operation with it’s Outputs and Inputs exposed as methods.
LinSpace: Builder for the LinSpace operation.
LinSpaceInst: An instance of ‘LinSpace’ Operation with it’s Outputs and Inputs exposed as methods.
ListDataset: Builder for the ListDataset operation.
ListDatasetInst: An instance of ‘ListDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ListDiff: Builder for the ListDiff operation.
ListDiffInst: An instance of ‘ListDiff’ Operation with it’s Outputs and Inputs exposed as methods.
LoadAllTPUEmbeddingParameters: Builder for the LoadAllTPUEmbeddingParameters operation.
LoadAllTPUEmbeddingParametersInst: An instance of ‘LoadAllTPUEmbeddingParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadAndRemapMatrix: Builder for the LoadAndRemapMatrix operation.
LoadAndRemapMatrixInst: An instance of ‘LoadAndRemapMatrix’ Operation with it’s Outputs and Inputs exposed as methods.
LoadDataset: Builder for the LoadDataset operation.
LoadDatasetInst: An instance of ‘LoadDataset’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingADAMParameters: Builder for the LoadTPUEmbeddingADAMParameters operation.
LoadTPUEmbeddingADAMParametersInst: An instance of ‘LoadTPUEmbeddingADAMParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingAdadeltaParameters: Builder for the LoadTPUEmbeddingAdadeltaParameters operation.
LoadTPUEmbeddingAdadeltaParametersInst: An instance of ‘LoadTPUEmbeddingAdadeltaParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingAdagradMomentumParameters: Builder for the LoadTPUEmbeddingAdagradMomentumParameters operation.
LoadTPUEmbeddingAdagradMomentumParametersInst: An instance of ‘LoadTPUEmbeddingAdagradMomentumParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingAdagradParameters: Builder for the LoadTPUEmbeddingAdagradParameters operation.
LoadTPUEmbeddingAdagradParametersInst: An instance of ‘LoadTPUEmbeddingAdagradParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingCenteredRMSPropParameters: Builder for the LoadTPUEmbeddingCenteredRMSPropParameters operation.
LoadTPUEmbeddingCenteredRMSPropParametersInst: An instance of ‘LoadTPUEmbeddingCenteredRMSPropParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingFTRLParameters: Builder for the LoadTPUEmbeddingFTRLParameters operation.
LoadTPUEmbeddingFTRLParametersInst: An instance of ‘LoadTPUEmbeddingFTRLParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingFrequencyEstimatorParameters: Builder for the LoadTPUEmbeddingFrequencyEstimatorParameters operation.
LoadTPUEmbeddingFrequencyEstimatorParametersInst: An instance of ‘LoadTPUEmbeddingFrequencyEstimatorParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingMDLAdagradLightParameters: Builder for the LoadTPUEmbeddingMDLAdagradLightParameters operation.
LoadTPUEmbeddingMDLAdagradLightParametersInst: An instance of ‘LoadTPUEmbeddingMDLAdagradLightParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingMomentumParameters: Builder for the LoadTPUEmbeddingMomentumParameters operation.
LoadTPUEmbeddingMomentumParametersInst: An instance of ‘LoadTPUEmbeddingMomentumParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingProximalAdagradParameters: Builder for the LoadTPUEmbeddingProximalAdagradParameters operation.
LoadTPUEmbeddingProximalAdagradParametersInst: An instance of ‘LoadTPUEmbeddingProximalAdagradParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingProximalYogiParameters: Builder for the LoadTPUEmbeddingProximalYogiParameters operation.
LoadTPUEmbeddingProximalYogiParametersInst: An instance of ‘LoadTPUEmbeddingProximalYogiParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingRMSPropParameters: Builder for the LoadTPUEmbeddingRMSPropParameters operation.
LoadTPUEmbeddingRMSPropParametersInst: An instance of ‘LoadTPUEmbeddingRMSPropParameters’ Operation with it’s Outputs and Inputs exposed as methods.
LoadTPUEmbeddingStochasticGradientDescentParameters: Builder for the LoadTPUEmbeddingStochasticGradientDescentParameters operation.
LoadTPUEmbeddingStochasticGradientDescentParametersInst: An instance of ‘LoadTPUEmbeddingStochasticGradientDescentParameters’ Operation with it’s Outputs and Inputs exposed as methods.
Log: Builder for the Log operation.
Log1p: Builder for the Log1p operation.
Log1pInst: An instance of ‘Log1p’ Operation with it’s Outputs and Inputs exposed as methods.
LogInst: An instance of ‘Log’ Operation with it’s Outputs and Inputs exposed as methods.
LogMatrixDeterminant: Builder for the LogMatrixDeterminant operation.
LogMatrixDeterminantInst: An instance of ‘LogMatrixDeterminant’ Operation with it’s Outputs and Inputs exposed as methods.
LogSoftmax: Builder for the LogSoftmax operation.
LogSoftmaxInst: An instance of ‘LogSoftmax’ Operation with it’s Outputs and Inputs exposed as methods.
LogUniformCandidateSampler: Builder for the LogUniformCandidateSampler operation.
LogUniformCandidateSamplerInst: An instance of ‘LogUniformCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
LogicalAnd: Builder for the LogicalAnd operation.
LogicalAndInst: An instance of ‘LogicalAnd’ Operation with it’s Outputs and Inputs exposed as methods.
LogicalNot: Builder for the LogicalNot operation.
LogicalNotInst: An instance of ‘LogicalNot’ Operation with it’s Outputs and Inputs exposed as methods.
LogicalOr: Builder for the LogicalOr operation.
LogicalOrInst: An instance of ‘LogicalOr’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableExport: Builder for the LookupTableExport operation.
LookupTableExportInst: An instance of ‘LookupTableExport’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableExportV2: Builder for the LookupTableExportV2 operation.
LookupTableExportV2Inst: An instance of ‘LookupTableExportV2’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableFind: Builder for the LookupTableFind operation.
LookupTableFindInst: An instance of ‘LookupTableFind’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableFindV2: Builder for the LookupTableFindV2 operation.
LookupTableFindV2Inst: An instance of ‘LookupTableFindV2’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableImport: Builder for the LookupTableImport operation.
LookupTableImportInst: An instance of ‘LookupTableImport’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableImportV2: Builder for the LookupTableImportV2 operation.
LookupTableImportV2Inst: An instance of ‘LookupTableImportV2’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableInsert: Builder for the LookupTableInsert operation.
LookupTableInsertInst: An instance of ‘LookupTableInsert’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableInsertV2: Builder for the LookupTableInsertV2 operation.
LookupTableInsertV2Inst: An instance of ‘LookupTableInsertV2’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableRemoveV2: Builder for the LookupTableRemoveV2 operation.
LookupTableRemoveV2Inst: An instance of ‘LookupTableRemoveV2’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableSize: Builder for the LookupTableSize operation.
LookupTableSizeInst: An instance of ‘LookupTableSize’ Operation with it’s Outputs and Inputs exposed as methods.
LookupTableSizeV2: Builder for the LookupTableSizeV2 operation.
LookupTableSizeV2Inst: An instance of ‘LookupTableSizeV2’ Operation with it’s Outputs and Inputs exposed as methods.
LoopCond: Builder for the LoopCond operation.
LoopCondInst: An instance of ‘LoopCond’ Operation with it’s Outputs and Inputs exposed as methods.
LowerBound: Builder for the LowerBound operation.
LowerBoundInst: An instance of ‘LowerBound’ Operation with it’s Outputs and Inputs exposed as methods.
Lu: Builder for the Lu operation.
LuInst: An instance of ‘Lu’ Operation with it’s Outputs and Inputs exposed as methods.
MakeIterator: Builder for the MakeIterator operation.
MakeIteratorInst: An instance of ‘MakeIterator’ Operation with it’s Outputs and Inputs exposed as methods.
MakeUnique: Builder for the MakeUnique operation.
MakeUniqueInst: An instance of ‘MakeUnique’ Operation with it’s Outputs and Inputs exposed as methods.
MapAndBatchDataset: Builder for the MapAndBatchDataset operation.
MapAndBatchDatasetInst: An instance of ‘MapAndBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
MapClear: Builder for the MapClear operation.
MapClearInst: An instance of ‘MapClear’ Operation with it’s Outputs and Inputs exposed as methods.
MapDataset: Builder for the MapDataset operation.
MapDatasetInst: An instance of ‘MapDataset’ Operation with it’s Outputs and Inputs exposed as methods.
MapDefun: Builder for the MapDefun operation.
MapDefunInst: An instance of ‘MapDefun’ Operation with it’s Outputs and Inputs exposed as methods.
MapIncompleteSize: Builder for the MapIncompleteSize operation.
MapIncompleteSizeInst: An instance of ‘MapIncompleteSize’ Operation with it’s Outputs and Inputs exposed as methods.
MapPeek: Builder for the MapPeek operation.
MapPeekInst: An instance of ‘MapPeek’ Operation with it’s Outputs and Inputs exposed as methods.
MapSize: Builder for the MapSize operation.
MapSizeInst: An instance of ‘MapSize’ Operation with it’s Outputs and Inputs exposed as methods.
MapStage: Builder for the MapStage operation.
MapStageInst: An instance of ‘MapStage’ Operation with it’s Outputs and Inputs exposed as methods.
MapUnstage: Builder for the MapUnstage operation.
MapUnstageInst: An instance of ‘MapUnstage’ Operation with it’s Outputs and Inputs exposed as methods.
MapUnstageNoKey: Builder for the MapUnstageNoKey operation.
MapUnstageNoKeyInst: An instance of ‘MapUnstageNoKey’ Operation with it’s Outputs and Inputs exposed as methods.
MatMul: Builder for the MatMul operation.
MatMulInst: An instance of ‘MatMul’ Operation with it’s Outputs and Inputs exposed as methods.
MatchingFiles: Builder for the MatchingFiles operation.
MatchingFilesDataset: Builder for the MatchingFilesDataset operation.
MatchingFilesDatasetInst: An instance of ‘MatchingFilesDataset’ Operation with it’s Outputs and Inputs exposed as methods.
MatchingFilesInst: An instance of ‘MatchingFiles’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixBandPart: Builder for the MatrixBandPart operation.
MatrixBandPartInst: An instance of ‘MatrixBandPart’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDeterminant: Builder for the MatrixDeterminant operation.
MatrixDeterminantInst: An instance of ‘MatrixDeterminant’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiag: Builder for the MatrixDiag operation.
MatrixDiagInst: An instance of ‘MatrixDiag’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiagPart: Builder for the MatrixDiagPart operation.
MatrixDiagPartInst: An instance of ‘MatrixDiagPart’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiagPartV2: Builder for the MatrixDiagPartV2 operation.
MatrixDiagPartV3: Builder for the MatrixDiagPartV3 operation.
MatrixDiagPartV2Inst: An instance of ‘MatrixDiagPartV2’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiagPartV3Inst: An instance of ‘MatrixDiagPartV3’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiagV2: Builder for the MatrixDiagV2 operation.
MatrixDiagV3: Builder for the MatrixDiagV3 operation.
MatrixDiagV2Inst: An instance of ‘MatrixDiagV2’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixDiagV3Inst: An instance of ‘MatrixDiagV3’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixExponential: Builder for the MatrixExponential operation.
MatrixExponentialInst: An instance of ‘MatrixExponential’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixInverse: Builder for the MatrixInverse operation.
MatrixInverseInst: An instance of ‘MatrixInverse’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixLogarithm: Builder for the MatrixLogarithm operation.
MatrixLogarithmInst: An instance of ‘MatrixLogarithm’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSetDiag: Builder for the MatrixSetDiag operation.
MatrixSetDiagInst: An instance of ‘MatrixSetDiag’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSetDiagV2: Builder for the MatrixSetDiagV2 operation.
MatrixSetDiagV3: Builder for the MatrixSetDiagV3 operation.
MatrixSetDiagV2Inst: An instance of ‘MatrixSetDiagV2’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSetDiagV3Inst: An instance of ‘MatrixSetDiagV3’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSolve: Builder for the MatrixSolve operation.
MatrixSolveInst: An instance of ‘MatrixSolve’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSolveLs: Builder for the MatrixSolveLs operation.
MatrixSolveLsInst: An instance of ‘MatrixSolveLs’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixSquareRoot: Builder for the MatrixSquareRoot operation.
MatrixSquareRootInst: An instance of ‘MatrixSquareRoot’ Operation with it’s Outputs and Inputs exposed as methods.
MatrixTriangularSolve: Builder for the MatrixTriangularSolve operation.
MatrixTriangularSolveInst: An instance of ‘MatrixTriangularSolve’ Operation with it’s Outputs and Inputs exposed as methods.
Max: Builder for the Max operation.
MaxInst: An instance of ‘Max’ Operation with it’s Outputs and Inputs exposed as methods.
MaxIntraOpParallelismDataset: Builder for the MaxIntraOpParallelismDataset operation.
MaxIntraOpParallelismDatasetInst: An instance of ‘MaxIntraOpParallelismDataset’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPool: Builder for the MaxPool operation.
MaxPool3D: Builder for the MaxPool3D operation.
MaxPool3DGrad: Builder for the MaxPool3DGrad operation.
MaxPool3DGradGrad: Builder for the MaxPool3DGradGrad operation.
MaxPool3DGradGradInst: An instance of ‘MaxPool3DGradGrad’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPool3DGradInst: An instance of ‘MaxPool3DGrad’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPool3DInst: An instance of ‘MaxPool3D’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGrad: Builder for the MaxPoolGrad operation.
MaxPoolGradGrad: Builder for the MaxPoolGradGrad operation.
MaxPoolGradGradInst: An instance of ‘MaxPoolGradGrad’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGradGradV2: Builder for the MaxPoolGradGradV2 operation.
MaxPoolGradGradV2Inst: An instance of ‘MaxPoolGradGradV2’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGradGradWithArgmax: Builder for the MaxPoolGradGradWithArgmax operation.
MaxPoolGradGradWithArgmaxInst: An instance of ‘MaxPoolGradGradWithArgmax’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGradInst: An instance of ‘MaxPoolGrad’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGradV2: Builder for the MaxPoolGradV2 operation.
MaxPoolGradV2Inst: An instance of ‘MaxPoolGradV2’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolGradWithArgmax: Builder for the MaxPoolGradWithArgmax operation.
MaxPoolGradWithArgmaxInst: An instance of ‘MaxPoolGradWithArgmax’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolInst: An instance of ‘MaxPool’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolV2: Builder for the MaxPoolV2 operation.
MaxPoolV2Inst: An instance of ‘MaxPoolV2’ Operation with it’s Outputs and Inputs exposed as methods.
MaxPoolWithArgmax: Builder for the MaxPoolWithArgmax operation.
MaxPoolWithArgmaxInst: An instance of ‘MaxPoolWithArgmax’ Operation with it’s Outputs and Inputs exposed as methods.
Maximum: Builder for the Maximum operation.
MaximumInst: An instance of ‘Maximum’ Operation with it’s Outputs and Inputs exposed as methods.
Mean: Builder for the Mean operation.
MeanInst: An instance of ‘Mean’ Operation with it’s Outputs and Inputs exposed as methods.
Merge: Builder for the Merge operation.
MergeDedupData: Builder for the MergeDedupData operation.
MergeDedupDataInst: An instance of ‘MergeDedupData’ Operation with it’s Outputs and Inputs exposed as methods.
MergeInst: An instance of ‘Merge’ Operation with it’s Outputs and Inputs exposed as methods.
MergeSummary: Builder for the MergeSummary operation.
MergeSummaryInst: An instance of ‘MergeSummary’ Operation with it’s Outputs and Inputs exposed as methods.
MergeV2Checkpoints: Builder for the MergeV2Checkpoints operation.
MergeV2CheckpointsInst: An instance of ‘MergeV2Checkpoints’ Operation with it’s Outputs and Inputs exposed as methods.
Mfcc: Builder for the Mfcc operation.
MfccInst: An instance of ‘Mfcc’ Operation with it’s Outputs and Inputs exposed as methods.
Min: Builder for the Min operation.
MinInst: An instance of ‘Min’ Operation with it’s Outputs and Inputs exposed as methods.
Minimum: Builder for the Minimum operation.
MinimumInst: An instance of ‘Minimum’ Operation with it’s Outputs and Inputs exposed as methods.
MirrorPad: Builder for the MirrorPad operation.
MirrorPadGrad: Builder for the MirrorPadGrad operation.
MirrorPadGradInst: An instance of ‘MirrorPadGrad’ Operation with it’s Outputs and Inputs exposed as methods.
MirrorPadInst: An instance of ‘MirrorPad’ Operation with it’s Outputs and Inputs exposed as methods.
MlirPassthroughOp: Builder for the MlirPassthroughOp operation.
MlirPassthroughOpInst: An instance of ‘MlirPassthroughOp’ Operation with it’s Outputs and Inputs exposed as methods.
Mod: Builder for the Mod operation.
ModInst: An instance of ‘Mod’ Operation with it’s Outputs and Inputs exposed as methods.
ModelDataset: Builder for the ModelDataset operation.
ModelDatasetInst: An instance of ‘ModelDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Mul: Builder for the Mul operation.
MulInst: An instance of ‘Mul’ Operation with it’s Outputs and Inputs exposed as methods.
MulNoNan: Builder for the MulNoNan operation.
MulNoNanInst: An instance of ‘MulNoNan’ Operation with it’s Outputs and Inputs exposed as methods.
MultiDeviceIterator: Builder for the MultiDeviceIterator operation.
MultiDeviceIteratorFromStringHandle: Builder for the MultiDeviceIteratorFromStringHandle operation.
MultiDeviceIteratorFromStringHandleInst: An instance of ‘MultiDeviceIteratorFromStringHandle’ Operation with it’s Outputs and Inputs exposed as methods.
MultiDeviceIteratorGetNextFromShard: Builder for the MultiDeviceIteratorGetNextFromShard operation.
MultiDeviceIteratorGetNextFromShardInst: An instance of ‘MultiDeviceIteratorGetNextFromShard’ Operation with it’s Outputs and Inputs exposed as methods.
MultiDeviceIteratorInit: Builder for the MultiDeviceIteratorInit operation.
MultiDeviceIteratorInitInst: An instance of ‘MultiDeviceIteratorInit’ Operation with it’s Outputs and Inputs exposed as methods.
MultiDeviceIteratorInst: An instance of ‘MultiDeviceIterator’ Operation with it’s Outputs and Inputs exposed as methods.
MultiDeviceIteratorToStringHandle: Builder for the MultiDeviceIteratorToStringHandle operation.
MultiDeviceIteratorToStringHandleInst: An instance of ‘MultiDeviceIteratorToStringHandle’ Operation with it’s Outputs and Inputs exposed as methods.
Multinomial: Builder for the Multinomial operation.
MultinomialInst: An instance of ‘Multinomial’ Operation with it’s Outputs and Inputs exposed as methods.
MultiplyDeprecated: Builder for the Mul operation.
MutableDenseHashTable: Builder for the MutableDenseHashTable operation.
MutableDenseHashTableInst: An instance of ‘MutableDenseHashTable’ Operation with it’s Outputs and Inputs exposed as methods.
MutableDenseHashTableV2: Builder for the MutableDenseHashTableV2 operation.
MutableDenseHashTableV2Inst: An instance of ‘MutableDenseHashTableV2’ Operation with it’s Outputs and Inputs exposed as methods.
MutableHashTable: Builder for the MutableHashTable operation.
MutableHashTableInst: An instance of ‘MutableHashTable’ Operation with it’s Outputs and Inputs exposed as methods.
MutableHashTableOfTensors: Builder for the MutableHashTableOfTensors operation.
MutableHashTableOfTensorsInst: An instance of ‘MutableHashTableOfTensors’ Operation with it’s Outputs and Inputs exposed as methods.
MutableHashTableOfTensorsV2: Builder for the MutableHashTableOfTensorsV2 operation.
MutableHashTableOfTensorsV2Inst: An instance of ‘MutableHashTableOfTensorsV2’ Operation with it’s Outputs and Inputs exposed as methods.
MutableHashTableV2: Builder for the MutableHashTableV2 operation.
MutableHashTableV2Inst: An instance of ‘MutableHashTableV2’ Operation with it’s Outputs and Inputs exposed as methods.
MutexLock: Builder for the MutexLock operation.
MutexLockInst: An instance of ‘MutexLock’ Operation with it’s Outputs and Inputs exposed as methods.
MutexV2: Builder for the MutexV2 operation.
MutexV2Inst: An instance of ‘MutexV2’ Operation with it’s Outputs and Inputs exposed as methods.
NcclAllReduce: Builder for the NcclAllReduce operation.
NcclAllReduceInst: An instance of ‘NcclAllReduce’ Operation with it’s Outputs and Inputs exposed as methods.
NcclBroadcast: Builder for the NcclBroadcast operation.
NcclBroadcastInst: An instance of ‘NcclBroadcast’ Operation with it’s Outputs and Inputs exposed as methods.
NcclReduce: Builder for the NcclReduce operation.
NcclReduceInst: An instance of ‘NcclReduce’ Operation with it’s Outputs and Inputs exposed as methods.
Ndtri: Builder for the Ndtri operation.
NdtriInst: An instance of ‘Ndtri’ Operation with it’s Outputs and Inputs exposed as methods.
NearestNeighbors: Builder for the NearestNeighbors operation.
NearestNeighborsInst: An instance of ‘NearestNeighbors’ Operation with it’s Outputs and Inputs exposed as methods.
Neg: Builder for the Neg operation.
NegInst: An instance of ‘Neg’ Operation with it’s Outputs and Inputs exposed as methods.
NegTrain: Builder for the NegTrain operation.
NegTrainInst: An instance of ‘NegTrain’ Operation with it’s Outputs and Inputs exposed as methods.
NextAfter: Builder for the NextAfter operation.
NextAfterInst: An instance of ‘NextAfter’ Operation with it’s Outputs and Inputs exposed as methods.
NextIteration: Builder for the NextIteration operation.
NextIterationInst: An instance of ‘NextIteration’ Operation with it’s Outputs and Inputs exposed as methods.
NoOp: Builder for the NoOp operation.
NoOpInst: An instance of ‘NoOp’ Operation with it’s Outputs and Inputs exposed as methods.
NonDeterministicInts: Builder for the NonDeterministicInts operation.
NonDeterministicIntsInst: An instance of ‘NonDeterministicInts’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppression: Builder for the NonMaxSuppression operation.
NonMaxSuppressionInst: An instance of ‘NonMaxSuppression’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppressionV2: Builder for the NonMaxSuppressionV2 operation.
NonMaxSuppressionV3: Builder for the NonMaxSuppressionV3 operation.
NonMaxSuppressionV4: Builder for the NonMaxSuppressionV4 operation.
NonMaxSuppressionV5: Builder for the NonMaxSuppressionV5 operation.
NonMaxSuppressionV2Inst: An instance of ‘NonMaxSuppressionV2’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppressionV3Inst: An instance of ‘NonMaxSuppressionV3’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppressionV4Inst: An instance of ‘NonMaxSuppressionV4’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppressionV5Inst: An instance of ‘NonMaxSuppressionV5’ Operation with it’s Outputs and Inputs exposed as methods.
NonMaxSuppressionWithOverlaps: Builder for the NonMaxSuppressionWithOverlaps operation.
NonMaxSuppressionWithOverlapsInst: An instance of ‘NonMaxSuppressionWithOverlaps’ Operation with it’s Outputs and Inputs exposed as methods.
NonSerializableDataset: Builder for the NonSerializableDataset operation.
NonSerializableDatasetInst: An instance of ‘NonSerializableDataset’ Operation with it’s Outputs and Inputs exposed as methods.
NotEqual: Builder for the NotEqual operation.
NotEqualInst: An instance of ‘NotEqual’ Operation with it’s Outputs and Inputs exposed as methods.
NthElement: Builder for the NthElement operation.
NthElementInst: An instance of ‘NthElement’ Operation with it’s Outputs and Inputs exposed as methods.
OneHot: Builder for the OneHot operation.
OneHotInst: An instance of ‘OneHot’ Operation with it’s Outputs and Inputs exposed as methods.
OneShotIterator: Builder for the OneShotIterator operation.
OneShotIteratorInst: An instance of ‘OneShotIterator’ Operation with it’s Outputs and Inputs exposed as methods.
OnesLike: Builder for the OnesLike operation.
OnesLikeInst: An instance of ‘OnesLike’ Operation with it’s Outputs and Inputs exposed as methods.
OptimizeDataset: Builder for the OptimizeDataset operation.
OptimizeDatasetInst: An instance of ‘OptimizeDataset’ Operation with it’s Outputs and Inputs exposed as methods.
OptimizeDatasetV2: Builder for the OptimizeDatasetV2 operation.
OptimizeDatasetV2Inst: An instance of ‘OptimizeDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
OptionalFromValue: Builder for the OptionalFromValue operation.
OptionalFromValueInst: An instance of ‘OptionalFromValue’ Operation with it’s Outputs and Inputs exposed as methods.
OptionalGetValue: Builder for the OptionalGetValue operation.
OptionalGetValueInst: An instance of ‘OptionalGetValue’ Operation with it’s Outputs and Inputs exposed as methods.
OptionalHasValue: Builder for the OptionalHasValue operation.
OptionalHasValueInst: An instance of ‘OptionalHasValue’ Operation with it’s Outputs and Inputs exposed as methods.
OptionalNone: Builder for the OptionalNone operation.
OptionalNoneInst: An instance of ‘OptionalNone’ Operation with it’s Outputs and Inputs exposed as methods.
OptionsDataset: Builder for the OptionsDataset operation.
OptionsDatasetInst: An instance of ‘OptionsDataset’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapClear: Builder for the OrderedMapClear operation.
OrderedMapClearInst: An instance of ‘OrderedMapClear’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapIncompleteSize: Builder for the OrderedMapIncompleteSize operation.
OrderedMapIncompleteSizeInst: An instance of ‘OrderedMapIncompleteSize’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapPeek: Builder for the OrderedMapPeek operation.
OrderedMapPeekInst: An instance of ‘OrderedMapPeek’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapSize: Builder for the OrderedMapSize operation.
OrderedMapSizeInst: An instance of ‘OrderedMapSize’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapStage: Builder for the OrderedMapStage operation.
OrderedMapStageInst: An instance of ‘OrderedMapStage’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapUnstage: Builder for the OrderedMapUnstage operation.
OrderedMapUnstageInst: An instance of ‘OrderedMapUnstage’ Operation with it’s Outputs and Inputs exposed as methods.
OrderedMapUnstageNoKey: Builder for the OrderedMapUnstageNoKey operation.
OrderedMapUnstageNoKeyInst: An instance of ‘OrderedMapUnstageNoKey’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedDequeue: Builder for the OutfeedDequeue operation.
OutfeedDequeueInst: An instance of ‘OutfeedDequeue’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedDequeueTuple: Builder for the OutfeedDequeueTuple operation.
OutfeedDequeueTupleInst: An instance of ‘OutfeedDequeueTuple’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedDequeueTupleV2: Builder for the OutfeedDequeueTupleV2 operation.
OutfeedDequeueTupleV2Inst: An instance of ‘OutfeedDequeueTupleV2’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedDequeueV2: Builder for the OutfeedDequeueV2 operation.
OutfeedDequeueV2Inst: An instance of ‘OutfeedDequeueV2’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedEnqueue: Builder for the OutfeedEnqueue operation.
OutfeedEnqueueInst: An instance of ‘OutfeedEnqueue’ Operation with it’s Outputs and Inputs exposed as methods.
OutfeedEnqueueTuple: Builder for the OutfeedEnqueueTuple operation.
OutfeedEnqueueTupleInst: An instance of ‘OutfeedEnqueueTuple’ Operation with it’s Outputs and Inputs exposed as methods.
Pack: Builder for the Pack operation.
PackInst: An instance of ‘Pack’ Operation with it’s Outputs and Inputs exposed as methods.
Pad: Builder for the Pad operation.
PadInst: An instance of ‘Pad’ Operation with it’s Outputs and Inputs exposed as methods.
PadV2: Builder for the PadV2 operation.
PadV2Inst: An instance of ‘PadV2’ Operation with it’s Outputs and Inputs exposed as methods.
PaddedBatchDataset: Builder for the PaddedBatchDataset operation.
PaddedBatchDatasetInst: An instance of ‘PaddedBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
PaddedBatchDatasetV2: Builder for the PaddedBatchDatasetV2 operation.
PaddedBatchDatasetV2Inst: An instance of ‘PaddedBatchDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
PaddingFIFOQueue: Builder for the PaddingFIFOQueue operation.
PaddingFIFOQueueInst: An instance of ‘PaddingFIFOQueue’ Operation with it’s Outputs and Inputs exposed as methods.
PaddingFIFOQueueV2: Builder for the PaddingFIFOQueueV2 operation.
PaddingFIFOQueueV2Inst: An instance of ‘PaddingFIFOQueueV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelBatchDataset: Builder for the ParallelBatchDataset operation.
ParallelBatchDatasetInst: An instance of ‘ParallelBatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelConcat: Builder for the ParallelConcat operation.
ParallelConcatInst: An instance of ‘ParallelConcat’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelDynamicStitch: Builder for the ParallelDynamicStitch operation.
ParallelDynamicStitchInst: An instance of ‘ParallelDynamicStitch’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelFilterDataset: Builder for the ParallelFilterDataset operation.
ParallelFilterDatasetInst: An instance of ‘ParallelFilterDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelInterleaveDataset: Builder for the ParallelInterleaveDataset operation.
ParallelInterleaveDatasetInst: An instance of ‘ParallelInterleaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelInterleaveDatasetV2: Builder for the ParallelInterleaveDatasetV2 operation.
ParallelInterleaveDatasetV3: Builder for the ParallelInterleaveDatasetV3 operation.
ParallelInterleaveDatasetV4: Builder for the ParallelInterleaveDatasetV4 operation.
ParallelInterleaveDatasetV2Inst: An instance of ‘ParallelInterleaveDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelInterleaveDatasetV3Inst: An instance of ‘ParallelInterleaveDatasetV3’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelInterleaveDatasetV4Inst: An instance of ‘ParallelInterleaveDatasetV4’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelMapDataset: Builder for the ParallelMapDataset operation.
ParallelMapDatasetInst: An instance of ‘ParallelMapDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ParallelMapDatasetV2: Builder for the ParallelMapDatasetV2 operation.
ParallelMapDatasetV2Inst: An instance of ‘ParallelMapDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParameterizedTruncatedNormal: Builder for the ParameterizedTruncatedNormal operation.
ParameterizedTruncatedNormalInst: An instance of ‘ParameterizedTruncatedNormal’ Operation with it’s Outputs and Inputs exposed as methods.
ParseExample: Builder for the ParseExample operation.
ParseExampleDataset: Builder for the ParseExampleDataset operation.
ParseExampleDatasetInst: An instance of ‘ParseExampleDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ParseExampleDatasetV2: Builder for the ParseExampleDatasetV2 operation.
ParseExampleDatasetV2Inst: An instance of ‘ParseExampleDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParseExampleInst: An instance of ‘ParseExample’ Operation with it’s Outputs and Inputs exposed as methods.
ParseExampleV2: Builder for the ParseExampleV2 operation.
ParseExampleV2Inst: An instance of ‘ParseExampleV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParseSequenceExample: Builder for the ParseSequenceExample operation.
ParseSequenceExampleInst: An instance of ‘ParseSequenceExample’ Operation with it’s Outputs and Inputs exposed as methods.
ParseSequenceExampleV2: Builder for the ParseSequenceExampleV2 operation.
ParseSequenceExampleV2Inst: An instance of ‘ParseSequenceExampleV2’ Operation with it’s Outputs and Inputs exposed as methods.
ParseSingleExample: Builder for the ParseSingleExample operation.
ParseSingleExampleInst: An instance of ‘ParseSingleExample’ Operation with it’s Outputs and Inputs exposed as methods.
ParseSingleSequenceExample: Builder for the ParseSingleSequenceExample operation.
ParseSingleSequenceExampleInst: An instance of ‘ParseSingleSequenceExample’ Operation with it’s Outputs and Inputs exposed as methods.
ParseTensor: Builder for the ParseTensor operation.
ParseTensorInst: An instance of ‘ParseTensor’ Operation with it’s Outputs and Inputs exposed as methods.
PartitionedCall: Builder for the PartitionedCall operation.
PartitionedCallInst: An instance of ‘PartitionedCall’ Operation with it’s Outputs and Inputs exposed as methods.
Placeholder: Builder for the Placeholder operation.
PlaceholderInst: An instance of ‘Placeholder’ Operation with it’s Outputs and Inputs exposed as methods.
PlaceholderV2: Builder for the PlaceholderV2 operation.
PlaceholderV2Inst: An instance of ‘PlaceholderV2’ Operation with it’s Outputs and Inputs exposed as methods.
PlaceholderWithDefault: Builder for the PlaceholderWithDefault operation.
PlaceholderWithDefaultInst: An instance of ‘PlaceholderWithDefault’ Operation with it’s Outputs and Inputs exposed as methods.
Polygamma: Builder for the Polygamma operation.
PolygammaInst: An instance of ‘Polygamma’ Operation with it’s Outputs and Inputs exposed as methods.
PopulationCount: Builder for the PopulationCount operation.
PopulationCountInst: An instance of ‘PopulationCount’ Operation with it’s Outputs and Inputs exposed as methods.
Pow: Builder for the Pow operation.
PowInst: An instance of ‘Pow’ Operation with it’s Outputs and Inputs exposed as methods.
PrefetchDataset: Builder for the PrefetchDataset operation.
PrefetchDatasetInst: An instance of ‘PrefetchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Prelinearize: Builder for the Prelinearize operation.
PrelinearizeInst: An instance of ‘Prelinearize’ Operation with it’s Outputs and Inputs exposed as methods.
PrelinearizeTuple: Builder for the PrelinearizeTuple operation.
PrelinearizeTupleInst: An instance of ‘PrelinearizeTuple’ Operation with it’s Outputs and Inputs exposed as methods.
PreventGradient: Builder for the PreventGradient operation.
PreventGradientInst: An instance of ‘PreventGradient’ Operation with it’s Outputs and Inputs exposed as methods.
Print: Builder for the Print operation.
PrintInst: An instance of ‘Print’ Operation with it’s Outputs and Inputs exposed as methods.
PrintV2: Builder for the PrintV2 operation.
PrintV2Inst: An instance of ‘PrintV2’ Operation with it’s Outputs and Inputs exposed as methods.
PriorityQueue: Builder for the PriorityQueue operation.
PriorityQueueInst: An instance of ‘PriorityQueue’ Operation with it’s Outputs and Inputs exposed as methods.
PriorityQueueV2: Builder for the PriorityQueueV2 operation.
PriorityQueueV2Inst: An instance of ‘PriorityQueueV2’ Operation with it’s Outputs and Inputs exposed as methods.
PrivateThreadPoolDataset: Builder for the PrivateThreadPoolDataset operation.
PrivateThreadPoolDatasetInst: An instance of ‘PrivateThreadPoolDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Prod: Builder for the Prod operation.
ProdInst: An instance of ‘Prod’ Operation with it’s Outputs and Inputs exposed as methods.
PyFunc: Builder for the PyFunc operation.
PyFuncInst: An instance of ‘PyFunc’ Operation with it’s Outputs and Inputs exposed as methods.
PyFuncStateless: Builder for the PyFuncStateless operation.
PyFuncStatelessInst: An instance of ‘PyFuncStateless’ Operation with it’s Outputs and Inputs exposed as methods.
Qr: Builder for the Qr operation.
QrInst: An instance of ‘Qr’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeAndDequantize: Builder for the QuantizeAndDequantize operation.
QuantizeAndDequantizeInst: An instance of ‘QuantizeAndDequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeAndDequantizeV2: Builder for the QuantizeAndDequantizeV2 operation.
QuantizeAndDequantizeV3: Builder for the QuantizeAndDequantizeV3 operation.
QuantizeAndDequantizeV4: Builder for the QuantizeAndDequantizeV4 operation.
QuantizeAndDequantizeV2Inst: An instance of ‘QuantizeAndDequantizeV2’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeAndDequantizeV3Inst: An instance of ‘QuantizeAndDequantizeV3’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeAndDequantizeV4Grad: Builder for the QuantizeAndDequantizeV4Grad operation.
QuantizeAndDequantizeV4GradInst: An instance of ‘QuantizeAndDequantizeV4Grad’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeAndDequantizeV4Inst: An instance of ‘QuantizeAndDequantizeV4’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeDownAndShrinkRange: Builder for the QuantizeDownAndShrinkRange operation.
QuantizeDownAndShrinkRangeInst: An instance of ‘QuantizeDownAndShrinkRange’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizeV2: Builder for the QuantizeV2 operation.
QuantizeV2Inst: An instance of ‘QuantizeV2’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedAdd: Builder for the QuantizedAdd operation.
QuantizedAddInst: An instance of ‘QuantizedAdd’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedAvgPool: Builder for the QuantizedAvgPool operation.
QuantizedAvgPoolInst: An instance of ‘QuantizedAvgPool’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedBatchNormWithGlobalNormalization: Builder for the QuantizedBatchNormWithGlobalNormalization operation.
QuantizedBatchNormWithGlobalNormalizationInst: An instance of ‘QuantizedBatchNormWithGlobalNormalization’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedBiasAdd: Builder for the QuantizedBiasAdd operation.
QuantizedBiasAddInst: An instance of ‘QuantizedBiasAdd’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConcat: Builder for the QuantizedConcat operation.
QuantizedConcatInst: An instance of ‘QuantizedConcat’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2D: Builder for the QuantizedConv2D operation.
QuantizedConv2DAndRelu: Builder for the QuantizedConv2DAndRelu operation.
QuantizedConv2DAndReluAndRequantize: Builder for the QuantizedConv2DAndReluAndRequantize operation.
QuantizedConv2DAndReluAndRequantizeInst: An instance of ‘QuantizedConv2DAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DAndReluInst: An instance of ‘QuantizedConv2DAndRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DAndRequantize: Builder for the QuantizedConv2DAndRequantize operation.
QuantizedConv2DAndRequantizeInst: An instance of ‘QuantizedConv2DAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DInst: An instance of ‘QuantizedConv2D’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DPerChannel: Builder for the QuantizedConv2DPerChannel operation.
QuantizedConv2DPerChannelInst: An instance of ‘QuantizedConv2DPerChannel’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBias: Builder for the QuantizedConv2DWithBias operation.
QuantizedConv2DWithBiasAndRelu: Builder for the QuantizedConv2DWithBiasAndRelu operation.
QuantizedConv2DWithBiasAndReluAndRequantize: Builder for the QuantizedConv2DWithBiasAndReluAndRequantize operation.
QuantizedConv2DWithBiasAndReluAndRequantizeInst: An instance of ‘QuantizedConv2DWithBiasAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasAndReluInst: An instance of ‘QuantizedConv2DWithBiasAndRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasAndRequantize: Builder for the QuantizedConv2DWithBiasAndRequantize operation.
QuantizedConv2DWithBiasAndRequantizeInst: An instance of ‘QuantizedConv2DWithBiasAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasInst: An instance of ‘QuantizedConv2DWithBias’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize: Builder for the QuantizedConv2DWithBiasSignedSumAndReluAndRequantize operation.
QuantizedConv2DWithBiasSignedSumAndReluAndRequantizeInst: An instance of ‘QuantizedConv2DWithBiasSignedSumAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasSumAndRelu: Builder for the QuantizedConv2DWithBiasSumAndRelu operation.
QuantizedConv2DWithBiasSumAndReluAndRequantize: Builder for the QuantizedConv2DWithBiasSumAndReluAndRequantize operation.
QuantizedConv2DWithBiasSumAndReluAndRequantizeInst: An instance of ‘QuantizedConv2DWithBiasSumAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedConv2DWithBiasSumAndReluInst: An instance of ‘QuantizedConv2DWithBiasSumAndRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedDepthwiseConv2D: Builder for the QuantizedDepthwiseConv2D operation.
QuantizedDepthwiseConv2DInst: An instance of ‘QuantizedDepthwiseConv2D’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedDepthwiseConv2DWithBias: Builder for the QuantizedDepthwiseConv2DWithBias operation.
QuantizedDepthwiseConv2DWithBiasAndRelu: Builder for the QuantizedDepthwiseConv2DWithBiasAndRelu operation.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize: Builder for the QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeInst: An instance of ‘QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedDepthwiseConv2DWithBiasAndReluInst: An instance of ‘QuantizedDepthwiseConv2DWithBiasAndRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedDepthwiseConv2DWithBiasInst: An instance of ‘QuantizedDepthwiseConv2DWithBias’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedInstanceNorm: Builder for the QuantizedInstanceNorm operation.
QuantizedInstanceNormInst: An instance of ‘QuantizedInstanceNorm’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMul: Builder for the QuantizedMatMul operation.
QuantizedMatMulInst: An instance of ‘QuantizedMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMulWithBias: Builder for the QuantizedMatMulWithBias operation.
QuantizedMatMulWithBiasAndDequantize: Builder for the QuantizedMatMulWithBiasAndDequantize operation.
QuantizedMatMulWithBiasAndDequantizeInst: An instance of ‘QuantizedMatMulWithBiasAndDequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMulWithBiasAndRelu: Builder for the QuantizedMatMulWithBiasAndRelu operation.
QuantizedMatMulWithBiasAndReluAndRequantize: Builder for the QuantizedMatMulWithBiasAndReluAndRequantize operation.
QuantizedMatMulWithBiasAndReluAndRequantizeInst: An instance of ‘QuantizedMatMulWithBiasAndReluAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMulWithBiasAndReluInst: An instance of ‘QuantizedMatMulWithBiasAndRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMulWithBiasAndRequantize: Builder for the QuantizedMatMulWithBiasAndRequantize operation.
QuantizedMatMulWithBiasAndRequantizeInst: An instance of ‘QuantizedMatMulWithBiasAndRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMatMulWithBiasInst: An instance of ‘QuantizedMatMulWithBias’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMaxPool: Builder for the QuantizedMaxPool operation.
QuantizedMaxPoolInst: An instance of ‘QuantizedMaxPool’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedMul: Builder for the QuantizedMul operation.
QuantizedMulInst: An instance of ‘QuantizedMul’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedRelu: Builder for the QuantizedRelu operation.
QuantizedRelu6: Builder for the QuantizedRelu6 operation.
QuantizedRelu6Inst: An instance of ‘QuantizedRelu6’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedReluInst: An instance of ‘QuantizedRelu’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedReluX: Builder for the QuantizedReluX operation.
QuantizedReluXInst: An instance of ‘QuantizedReluX’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedReshape: Builder for the QuantizedReshape operation.
QuantizedReshapeInst: An instance of ‘QuantizedReshape’ Operation with it’s Outputs and Inputs exposed as methods.
QuantizedResizeBilinear: Builder for the QuantizedResizeBilinear operation.
QuantizedResizeBilinearInst: An instance of ‘QuantizedResizeBilinear’ Operation with it’s Outputs and Inputs exposed as methods.
QueueClose: Builder for the QueueClose operation.
QueueCloseInst: An instance of ‘QueueClose’ Operation with it’s Outputs and Inputs exposed as methods.
QueueCloseV2: Builder for the QueueCloseV2 operation.
QueueCloseV2Inst: An instance of ‘QueueCloseV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeue: Builder for the QueueDequeue operation.
QueueDequeueInst: An instance of ‘QueueDequeue’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeueMany: Builder for the QueueDequeueMany operation.
QueueDequeueManyInst: An instance of ‘QueueDequeueMany’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeueManyV2: Builder for the QueueDequeueManyV2 operation.
QueueDequeueManyV2Inst: An instance of ‘QueueDequeueManyV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeueUpTo: Builder for the QueueDequeueUpTo operation.
QueueDequeueUpToInst: An instance of ‘QueueDequeueUpTo’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeueUpToV2: Builder for the QueueDequeueUpToV2 operation.
QueueDequeueUpToV2Inst: An instance of ‘QueueDequeueUpToV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueDequeueV2: Builder for the QueueDequeueV2 operation.
QueueDequeueV2Inst: An instance of ‘QueueDequeueV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueEnqueue: Builder for the QueueEnqueue operation.
QueueEnqueueInst: An instance of ‘QueueEnqueue’ Operation with it’s Outputs and Inputs exposed as methods.
QueueEnqueueMany: Builder for the QueueEnqueueMany operation.
QueueEnqueueManyInst: An instance of ‘QueueEnqueueMany’ Operation with it’s Outputs and Inputs exposed as methods.
QueueEnqueueManyV2: Builder for the QueueEnqueueManyV2 operation.
QueueEnqueueManyV2Inst: An instance of ‘QueueEnqueueManyV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueEnqueueV2: Builder for the QueueEnqueueV2 operation.
QueueEnqueueV2Inst: An instance of ‘QueueEnqueueV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueIsClosed: Builder for the QueueIsClosed operation.
QueueIsClosedInst: An instance of ‘QueueIsClosed’ Operation with it’s Outputs and Inputs exposed as methods.
QueueIsClosedV2: Builder for the QueueIsClosedV2 operation.
QueueIsClosedV2Inst: An instance of ‘QueueIsClosedV2’ Operation with it’s Outputs and Inputs exposed as methods.
QueueSize: Builder for the QueueSize operation.
QueueSizeInst: An instance of ‘QueueSize’ Operation with it’s Outputs and Inputs exposed as methods.
QueueSizeV2: Builder for the QueueSizeV2 operation.
QueueSizeV2Inst: An instance of ‘QueueSizeV2’ Operation with it’s Outputs and Inputs exposed as methods.
RFFT: Builder for the RFFT operation.
RFFT2D: Builder for the RFFT2D operation.
RFFT2DInst: An instance of ‘RFFT2D’ Operation with it’s Outputs and Inputs exposed as methods.
RFFT3D: Builder for the RFFT3D operation.
RFFT3DInst: An instance of ‘RFFT3D’ Operation with it’s Outputs and Inputs exposed as methods.
RFFTInst: An instance of ‘RFFT’ Operation with it’s Outputs and Inputs exposed as methods.
RGBToHSV: Builder for the RGBToHSV operation.
RGBToHSVInst: An instance of ‘RGBToHSV’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedBincount: Builder for the RaggedBincount operation.
RaggedBincountInst: An instance of ‘RaggedBincount’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedCountSparseOutput: Builder for the RaggedCountSparseOutput operation.
RaggedCountSparseOutputInst: An instance of ‘RaggedCountSparseOutput’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedCross: Builder for the RaggedCross operation.
RaggedCrossInst: An instance of ‘RaggedCross’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedFillEmptyRows: Builder for the RaggedFillEmptyRows operation.
RaggedFillEmptyRowsGrad: Builder for the RaggedFillEmptyRowsGrad operation.
RaggedFillEmptyRowsGradInst: An instance of ‘RaggedFillEmptyRowsGrad’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedFillEmptyRowsInst: An instance of ‘RaggedFillEmptyRows’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedGather: Builder for the RaggedGather operation.
RaggedGatherInst: An instance of ‘RaggedGather’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedRange: Builder for the RaggedRange operation.
RaggedRangeInst: An instance of ‘RaggedRange’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedTensorFromVariant: Builder for the RaggedTensorFromVariant operation.
RaggedTensorFromVariantInst: An instance of ‘RaggedTensorFromVariant’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedTensorToSparse: Builder for the RaggedTensorToSparse operation.
RaggedTensorToSparseInst: An instance of ‘RaggedTensorToSparse’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedTensorToTensor: Builder for the RaggedTensorToTensor operation.
RaggedTensorToTensorInst: An instance of ‘RaggedTensorToTensor’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedTensorToVariant: Builder for the RaggedTensorToVariant operation.
RaggedTensorToVariantGradient: Builder for the RaggedTensorToVariantGradient operation.
RaggedTensorToVariantGradientInst: An instance of ‘RaggedTensorToVariantGradient’ Operation with it’s Outputs and Inputs exposed as methods.
RaggedTensorToVariantInst: An instance of ‘RaggedTensorToVariant’ Operation with it’s Outputs and Inputs exposed as methods.
RandomCrop: Builder for the RandomCrop operation.
RandomCropInst: An instance of ‘RandomCrop’ Operation with it’s Outputs and Inputs exposed as methods.
RandomDataset: Builder for the RandomDataset operation.
RandomDatasetInst: An instance of ‘RandomDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RandomDatasetV2: Builder for the RandomDatasetV2 operation.
RandomDatasetV2Inst: An instance of ‘RandomDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
RandomGamma: Builder for the RandomGamma operation.
RandomGammaGrad: Builder for the RandomGammaGrad operation.
RandomGammaGradInst: An instance of ‘RandomGammaGrad’ Operation with it’s Outputs and Inputs exposed as methods.
RandomGammaInst: An instance of ‘RandomGamma’ Operation with it’s Outputs and Inputs exposed as methods.
RandomIndexShuffle: Builder for the RandomIndexShuffle operation.
RandomIndexShuffleInst: An instance of ‘RandomIndexShuffle’ Operation with it’s Outputs and Inputs exposed as methods.
RandomNormalDeprecated: Builder for the RandomStandardNormal operation.
RandomPoisson: Builder for the RandomPoisson operation.
RandomPoissonInst: An instance of ‘RandomPoisson’ Operation with it’s Outputs and Inputs exposed as methods.
RandomPoissonV2: Builder for the RandomPoissonV2 operation.
RandomPoissonV2Inst: An instance of ‘RandomPoissonV2’ Operation with it’s Outputs and Inputs exposed as methods.
RandomShuffle: Builder for the RandomShuffle operation.
RandomShuffleInst: An instance of ‘RandomShuffle’ Operation with it’s Outputs and Inputs exposed as methods.
RandomShuffleQueue: Builder for the RandomShuffleQueue operation.
RandomShuffleQueueInst: An instance of ‘RandomShuffleQueue’ Operation with it’s Outputs and Inputs exposed as methods.
RandomShuffleQueueV2: Builder for the RandomShuffleQueueV2 operation.
RandomShuffleQueueV2Inst: An instance of ‘RandomShuffleQueueV2’ Operation with it’s Outputs and Inputs exposed as methods.
RandomStandardNormal: Builder for the RandomStandardNormal operation.
RandomStandardNormalInst: An instance of ‘RandomStandardNormal’ Operation with it’s Outputs and Inputs exposed as methods.
RandomUniform: Builder for the RandomUniform operation.
RandomUniformInst: An instance of ‘RandomUniform’ Operation with it’s Outputs and Inputs exposed as methods.
RandomUniformInt: Builder for the RandomUniformInt operation.
RandomUniformIntInst: An instance of ‘RandomUniformInt’ Operation with it’s Outputs and Inputs exposed as methods.
Range: Builder for the Range operation.
RangeDataset: Builder for the RangeDataset operation.
RangeDatasetInst: An instance of ‘RangeDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RangeInst: An instance of ‘Range’ Operation with it’s Outputs and Inputs exposed as methods.
Rank: Builder for the Rank operation.
RankInst: An instance of ‘Rank’ Operation with it’s Outputs and Inputs exposed as methods.
ReadFile: Builder for the ReadFile operation.
ReadFileInst: An instance of ‘ReadFile’ Operation with it’s Outputs and Inputs exposed as methods.
ReadVariableOp: Builder for the ReadVariableOp operation.
ReadVariableOpInst: An instance of ‘ReadVariableOp’ Operation with it’s Outputs and Inputs exposed as methods.
ReadVariableXlaSplitND: Builder for the ReadVariableXlaSplitND operation.
ReadVariableXlaSplitNDInst: An instance of ‘ReadVariableXlaSplitND’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderNumRecordsProduced: Builder for the ReaderNumRecordsProduced operation.
ReaderNumRecordsProducedInst: An instance of ‘ReaderNumRecordsProduced’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderNumRecordsProducedV2: Builder for the ReaderNumRecordsProducedV2 operation.
ReaderNumRecordsProducedV2Inst: An instance of ‘ReaderNumRecordsProducedV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderNumWorkUnitsCompleted: Builder for the ReaderNumWorkUnitsCompleted operation.
ReaderNumWorkUnitsCompletedInst: An instance of ‘ReaderNumWorkUnitsCompleted’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderNumWorkUnitsCompletedV2: Builder for the ReaderNumWorkUnitsCompletedV2 operation.
ReaderNumWorkUnitsCompletedV2Inst: An instance of ‘ReaderNumWorkUnitsCompletedV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderRead: Builder for the ReaderRead operation.
ReaderReadInst: An instance of ‘ReaderRead’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderReadUpTo: Builder for the ReaderReadUpTo operation.
ReaderReadUpToInst: An instance of ‘ReaderReadUpTo’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderReadUpToV2: Builder for the ReaderReadUpToV2 operation.
ReaderReadUpToV2Inst: An instance of ‘ReaderReadUpToV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderReadV2: Builder for the ReaderReadV2 operation.
ReaderReadV2Inst: An instance of ‘ReaderReadV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderReset: Builder for the ReaderReset operation.
ReaderResetInst: An instance of ‘ReaderReset’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderResetV2: Builder for the ReaderResetV2 operation.
ReaderResetV2Inst: An instance of ‘ReaderResetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderRestoreState: Builder for the ReaderRestoreState operation.
ReaderRestoreStateInst: An instance of ‘ReaderRestoreState’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderRestoreStateV2: Builder for the ReaderRestoreStateV2 operation.
ReaderRestoreStateV2Inst: An instance of ‘ReaderRestoreStateV2’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderSerializeState: Builder for the ReaderSerializeState operation.
ReaderSerializeStateInst: An instance of ‘ReaderSerializeState’ Operation with it’s Outputs and Inputs exposed as methods.
ReaderSerializeStateV2: Builder for the ReaderSerializeStateV2 operation.
ReaderSerializeStateV2Inst: An instance of ‘ReaderSerializeStateV2’ Operation with it’s Outputs and Inputs exposed as methods.
Real: Builder for the Real operation.
RealDiv: Builder for the RealDiv operation.
RealDivInst: An instance of ‘RealDiv’ Operation with it’s Outputs and Inputs exposed as methods.
RealInst: An instance of ‘Real’ Operation with it’s Outputs and Inputs exposed as methods.
RebatchDataset: Builder for the RebatchDataset operation.
RebatchDatasetInst: An instance of ‘RebatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RebatchDatasetV2: Builder for the RebatchDatasetV2 operation.
RebatchDatasetV2Inst: An instance of ‘RebatchDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
Reciprocal: Builder for the Reciprocal operation.
ReciprocalGrad: Builder for the ReciprocalGrad operation.
ReciprocalGradInst: An instance of ‘ReciprocalGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ReciprocalInst: An instance of ‘Reciprocal’ Operation with it’s Outputs and Inputs exposed as methods.
RecordInput: Builder for the RecordInput operation.
RecordInputInst: An instance of ‘RecordInput’ Operation with it’s Outputs and Inputs exposed as methods.
Recv: Builder for the Recv operation.
RecvInst: An instance of ‘Recv’ Operation with it’s Outputs and Inputs exposed as methods.
RecvTPUEmbeddingActivations: Builder for the RecvTPUEmbeddingActivations operation.
RecvTPUEmbeddingActivationsInst: An instance of ‘RecvTPUEmbeddingActivations’ Operation with it’s Outputs and Inputs exposed as methods.
ReduceDataset: Builder for the ReduceDataset operation.
ReduceDatasetInst: An instance of ‘ReduceDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ReduceJoin: Builder for the ReduceJoin operation.
ReduceJoinInst: An instance of ‘ReduceJoin’ Operation with it’s Outputs and Inputs exposed as methods.
RefEnter: Builder for the RefEnter operation.
RefEnterInst: An instance of ‘RefEnter’ Operation with it’s Outputs and Inputs exposed as methods.
RefExit: Builder for the RefExit operation.
RefExitInst: An instance of ‘RefExit’ Operation with it’s Outputs and Inputs exposed as methods.
RefIdentity: Builder for the RefIdentity operation.
RefIdentityInst: An instance of ‘RefIdentity’ Operation with it’s Outputs and Inputs exposed as methods.
RefMerge: Builder for the RefMerge operation.
RefMergeInst: An instance of ‘RefMerge’ Operation with it’s Outputs and Inputs exposed as methods.
RefNextIteration: Builder for the RefNextIteration operation.
RefNextIterationInst: An instance of ‘RefNextIteration’ Operation with it’s Outputs and Inputs exposed as methods.
RefSelect: Builder for the RefSelect operation.
RefSelectInst: An instance of ‘RefSelect’ Operation with it’s Outputs and Inputs exposed as methods.
RefSwitch: Builder for the RefSwitch operation.
RefSwitchInst: An instance of ‘RefSwitch’ Operation with it’s Outputs and Inputs exposed as methods.
RegexFullMatch: Builder for the RegexFullMatch operation.
RegexFullMatchInst: An instance of ‘RegexFullMatch’ Operation with it’s Outputs and Inputs exposed as methods.
RegexReplace: Builder for the RegexReplace operation.
RegexReplaceInst: An instance of ‘RegexReplace’ Operation with it’s Outputs and Inputs exposed as methods.
RegisterDataset: Builder for the RegisterDataset operation.
RegisterDatasetInst: An instance of ‘RegisterDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RegisterDatasetV2: Builder for the RegisterDatasetV2 operation.
RegisterDatasetV2Inst: An instance of ‘RegisterDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
Relayout: Builder for the Relayout operation.
RelayoutGrad: Builder for the RelayoutGrad operation.
RelayoutGradInst: An instance of ‘RelayoutGrad’ Operation with it’s Outputs and Inputs exposed as methods.
RelayoutInst: An instance of ‘Relayout’ Operation with it’s Outputs and Inputs exposed as methods.
Relu: Builder for the Relu operation.
Relu6: Builder for the Relu6 operation.
Relu6Grad: Builder for the Relu6Grad operation.
Relu6GradInst: An instance of ‘Relu6Grad’ Operation with it’s Outputs and Inputs exposed as methods.
Relu6Inst: An instance of ‘Relu6’ Operation with it’s Outputs and Inputs exposed as methods.
ReluGrad: Builder for the ReluGrad operation.
ReluGradInst: An instance of ‘ReluGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ReluInst: An instance of ‘Relu’ Operation with it’s Outputs and Inputs exposed as methods.
RemoteCall: Builder for the RemoteCall operation.
RemoteCallInst: An instance of ‘RemoteCall’ Operation with it’s Outputs and Inputs exposed as methods.
RepeatDataset: Builder for the RepeatDataset operation.
RepeatDatasetInst: An instance of ‘RepeatDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RequantizationRange: Builder for the RequantizationRange operation.
RequantizationRangeInst: An instance of ‘RequantizationRange’ Operation with it’s Outputs and Inputs exposed as methods.
RequantizationRangePerChannel: Builder for the RequantizationRangePerChannel operation.
RequantizationRangePerChannelInst: An instance of ‘RequantizationRangePerChannel’ Operation with it’s Outputs and Inputs exposed as methods.
Requantize: Builder for the Requantize operation.
RequantizeInst: An instance of ‘Requantize’ Operation with it’s Outputs and Inputs exposed as methods.
RequantizePerChannel: Builder for the RequantizePerChannel operation.
RequantizePerChannelInst: An instance of ‘RequantizePerChannel’ Operation with it’s Outputs and Inputs exposed as methods.
Reshape: Builder for the Reshape operation.
ReshapeInst: An instance of ‘Reshape’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeArea: Builder for the ResizeArea operation.
ResizeAreaInst: An instance of ‘ResizeArea’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeBicubic: Builder for the ResizeBicubic operation.
ResizeBicubicGrad: Builder for the ResizeBicubicGrad operation.
ResizeBicubicGradInst: An instance of ‘ResizeBicubicGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeBicubicInst: An instance of ‘ResizeBicubic’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeBilinear: Builder for the ResizeBilinear operation.
ResizeBilinearGrad: Builder for the ResizeBilinearGrad operation.
ResizeBilinearGradInst: An instance of ‘ResizeBilinearGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeBilinearInst: An instance of ‘ResizeBilinear’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeNearestNeighbor: Builder for the ResizeNearestNeighbor operation.
ResizeNearestNeighborGrad: Builder for the ResizeNearestNeighborGrad operation.
ResizeNearestNeighborGradInst: An instance of ‘ResizeNearestNeighborGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResizeNearestNeighborInst: An instance of ‘ResizeNearestNeighbor’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceAccumulatorApplyGradient: Builder for the ResourceAccumulatorApplyGradient operation.
ResourceAccumulatorApplyGradientInst: An instance of ‘ResourceAccumulatorApplyGradient’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceAccumulatorNumAccumulated: Builder for the ResourceAccumulatorNumAccumulated operation.
ResourceAccumulatorNumAccumulatedInst: An instance of ‘ResourceAccumulatorNumAccumulated’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceAccumulatorSetGlobalStep: Builder for the ResourceAccumulatorSetGlobalStep operation.
ResourceAccumulatorSetGlobalStepInst: An instance of ‘ResourceAccumulatorSetGlobalStep’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceAccumulatorTakeGradient: Builder for the ResourceAccumulatorTakeGradient operation.
ResourceAccumulatorTakeGradientInst: An instance of ‘ResourceAccumulatorTakeGradient’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdaMax: Builder for the ResourceApplyAdaMax operation.
ResourceApplyAdaMaxInst: An instance of ‘ResourceApplyAdaMax’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdadelta: Builder for the ResourceApplyAdadelta operation.
ResourceApplyAdadeltaInst: An instance of ‘ResourceApplyAdadelta’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdagrad: Builder for the ResourceApplyAdagrad operation.
ResourceApplyAdagradDA: Builder for the ResourceApplyAdagradDA operation.
ResourceApplyAdagradDAInst: An instance of ‘ResourceApplyAdagradDA’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdagradInst: An instance of ‘ResourceApplyAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdagradV2: Builder for the ResourceApplyAdagradV2 operation.
ResourceApplyAdagradV2Inst: An instance of ‘ResourceApplyAdagradV2’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdam: Builder for the ResourceApplyAdam operation.
ResourceApplyAdamInst: An instance of ‘ResourceApplyAdam’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAdamWithAmsgrad: Builder for the ResourceApplyAdamWithAmsgrad operation.
ResourceApplyAdamWithAmsgradInst: An instance of ‘ResourceApplyAdamWithAmsgrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyAddSign: Builder for the ResourceApplyAddSign operation.
ResourceApplyAddSignInst: An instance of ‘ResourceApplyAddSign’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyCenteredRMSProp: Builder for the ResourceApplyCenteredRMSProp operation.
ResourceApplyCenteredRMSPropInst: An instance of ‘ResourceApplyCenteredRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyFtrl: Builder for the ResourceApplyFtrl operation.
ResourceApplyFtrlInst: An instance of ‘ResourceApplyFtrl’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyFtrlV2: Builder for the ResourceApplyFtrlV2 operation.
ResourceApplyFtrlV2Inst: An instance of ‘ResourceApplyFtrlV2’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyGradientDescent: Builder for the ResourceApplyGradientDescent operation.
ResourceApplyGradientDescentInst: An instance of ‘ResourceApplyGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyKerasMomentum: Builder for the ResourceApplyKerasMomentum operation.
ResourceApplyKerasMomentumInst: An instance of ‘ResourceApplyKerasMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyMomentum: Builder for the ResourceApplyMomentum operation.
ResourceApplyMomentumInst: An instance of ‘ResourceApplyMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyPowerSign: Builder for the ResourceApplyPowerSign operation.
ResourceApplyPowerSignInst: An instance of ‘ResourceApplyPowerSign’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyProximalAdagrad: Builder for the ResourceApplyProximalAdagrad operation.
ResourceApplyProximalAdagradInst: An instance of ‘ResourceApplyProximalAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyProximalGradientDescent: Builder for the ResourceApplyProximalGradientDescent operation.
ResourceApplyProximalGradientDescentInst: An instance of ‘ResourceApplyProximalGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceApplyRMSProp: Builder for the ResourceApplyRMSProp operation.
ResourceApplyRMSPropInst: An instance of ‘ResourceApplyRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceConditionalAccumulator: Builder for the ResourceConditionalAccumulator operation.
ResourceConditionalAccumulatorInst: An instance of ‘ResourceConditionalAccumulator’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceCountUpTo: Builder for the ResourceCountUpTo operation.
ResourceCountUpToInst: An instance of ‘ResourceCountUpTo’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceGather: Builder for the ResourceGather operation.
ResourceGatherInst: An instance of ‘ResourceGather’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceGatherNd: Builder for the ResourceGatherNd operation.
ResourceGatherNdInst: An instance of ‘ResourceGatherNd’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterAdd: Builder for the ResourceScatterAdd operation.
ResourceScatterAddInst: An instance of ‘ResourceScatterAdd’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterDiv: Builder for the ResourceScatterDiv operation.
ResourceScatterDivInst: An instance of ‘ResourceScatterDiv’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterMax: Builder for the ResourceScatterMax operation.
ResourceScatterMaxInst: An instance of ‘ResourceScatterMax’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterMin: Builder for the ResourceScatterMin operation.
ResourceScatterMinInst: An instance of ‘ResourceScatterMin’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterMul: Builder for the ResourceScatterMul operation.
ResourceScatterMulInst: An instance of ‘ResourceScatterMul’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterNdAdd: Builder for the ResourceScatterNdAdd operation.
ResourceScatterNdAddInst: An instance of ‘ResourceScatterNdAdd’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterNdMax: Builder for the ResourceScatterNdMax operation.
ResourceScatterNdMaxInst: An instance of ‘ResourceScatterNdMax’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterNdMin: Builder for the ResourceScatterNdMin operation.
ResourceScatterNdMinInst: An instance of ‘ResourceScatterNdMin’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterNdSub: Builder for the ResourceScatterNdSub operation.
ResourceScatterNdSubInst: An instance of ‘ResourceScatterNdSub’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterNdUpdate: Builder for the ResourceScatterNdUpdate operation.
ResourceScatterNdUpdateInst: An instance of ‘ResourceScatterNdUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterSub: Builder for the ResourceScatterSub operation.
ResourceScatterSubInst: An instance of ‘ResourceScatterSub’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceScatterUpdate: Builder for the ResourceScatterUpdate operation.
ResourceScatterUpdateInst: An instance of ‘ResourceScatterUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyAdadelta: Builder for the ResourceSparseApplyAdadelta operation.
ResourceSparseApplyAdadeltaInst: An instance of ‘ResourceSparseApplyAdadelta’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyAdagrad: Builder for the ResourceSparseApplyAdagrad operation.
ResourceSparseApplyAdagradDA: Builder for the ResourceSparseApplyAdagradDA operation.
ResourceSparseApplyAdagradDAInst: An instance of ‘ResourceSparseApplyAdagradDA’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyAdagradInst: An instance of ‘ResourceSparseApplyAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyAdagradV2: Builder for the ResourceSparseApplyAdagradV2 operation.
ResourceSparseApplyAdagradV2Inst: An instance of ‘ResourceSparseApplyAdagradV2’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyCenteredRMSProp: Builder for the ResourceSparseApplyCenteredRMSProp operation.
ResourceSparseApplyCenteredRMSPropInst: An instance of ‘ResourceSparseApplyCenteredRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyFtrl: Builder for the ResourceSparseApplyFtrl operation.
ResourceSparseApplyFtrlInst: An instance of ‘ResourceSparseApplyFtrl’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyFtrlV2: Builder for the ResourceSparseApplyFtrlV2 operation.
ResourceSparseApplyFtrlV2Inst: An instance of ‘ResourceSparseApplyFtrlV2’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyKerasMomentum: Builder for the ResourceSparseApplyKerasMomentum operation.
ResourceSparseApplyKerasMomentumInst: An instance of ‘ResourceSparseApplyKerasMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyMomentum: Builder for the ResourceSparseApplyMomentum operation.
ResourceSparseApplyMomentumInst: An instance of ‘ResourceSparseApplyMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyProximalAdagrad: Builder for the ResourceSparseApplyProximalAdagrad operation.
ResourceSparseApplyProximalAdagradInst: An instance of ‘ResourceSparseApplyProximalAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyProximalGradientDescent: Builder for the ResourceSparseApplyProximalGradientDescent operation.
ResourceSparseApplyProximalGradientDescentInst: An instance of ‘ResourceSparseApplyProximalGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceSparseApplyRMSProp: Builder for the ResourceSparseApplyRMSProp operation.
ResourceSparseApplyRMSPropInst: An instance of ‘ResourceSparseApplyRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
ResourceStridedSliceAssign: Builder for the ResourceStridedSliceAssign operation.
ResourceStridedSliceAssignInst: An instance of ‘ResourceStridedSliceAssign’ Operation with it’s Outputs and Inputs exposed as methods.
Restore: Builder for the Restore operation.
RestoreInst: An instance of ‘Restore’ Operation with it’s Outputs and Inputs exposed as methods.
RestoreSlice: Builder for the RestoreSlice operation.
RestoreSliceInst: An instance of ‘RestoreSlice’ Operation with it’s Outputs and Inputs exposed as methods.
RestoreV2: Builder for the RestoreV2 operation.
RestoreV2Inst: An instance of ‘RestoreV2’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveAllTPUEmbeddingParameters: Builder for the RetrieveAllTPUEmbeddingParameters operation.
RetrieveAllTPUEmbeddingParametersInst: An instance of ‘RetrieveAllTPUEmbeddingParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingADAMParameters: Builder for the RetrieveTPUEmbeddingADAMParameters operation.
RetrieveTPUEmbeddingADAMParametersInst: An instance of ‘RetrieveTPUEmbeddingADAMParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingAdadeltaParameters: Builder for the RetrieveTPUEmbeddingAdadeltaParameters operation.
RetrieveTPUEmbeddingAdadeltaParametersInst: An instance of ‘RetrieveTPUEmbeddingAdadeltaParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingAdagradMomentumParameters: Builder for the RetrieveTPUEmbeddingAdagradMomentumParameters operation.
RetrieveTPUEmbeddingAdagradMomentumParametersInst: An instance of ‘RetrieveTPUEmbeddingAdagradMomentumParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingAdagradParameters: Builder for the RetrieveTPUEmbeddingAdagradParameters operation.
RetrieveTPUEmbeddingAdagradParametersInst: An instance of ‘RetrieveTPUEmbeddingAdagradParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingCenteredRMSPropParameters: Builder for the RetrieveTPUEmbeddingCenteredRMSPropParameters operation.
RetrieveTPUEmbeddingCenteredRMSPropParametersInst: An instance of ‘RetrieveTPUEmbeddingCenteredRMSPropParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingFTRLParameters: Builder for the RetrieveTPUEmbeddingFTRLParameters operation.
RetrieveTPUEmbeddingFTRLParametersInst: An instance of ‘RetrieveTPUEmbeddingFTRLParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingFrequencyEstimatorParameters: Builder for the RetrieveTPUEmbeddingFrequencyEstimatorParameters operation.
RetrieveTPUEmbeddingFrequencyEstimatorParametersInst: An instance of ‘RetrieveTPUEmbeddingFrequencyEstimatorParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingMDLAdagradLightParameters: Builder for the RetrieveTPUEmbeddingMDLAdagradLightParameters operation.
RetrieveTPUEmbeddingMDLAdagradLightParametersInst: An instance of ‘RetrieveTPUEmbeddingMDLAdagradLightParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingMomentumParameters: Builder for the RetrieveTPUEmbeddingMomentumParameters operation.
RetrieveTPUEmbeddingMomentumParametersInst: An instance of ‘RetrieveTPUEmbeddingMomentumParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingProximalAdagradParameters: Builder for the RetrieveTPUEmbeddingProximalAdagradParameters operation.
RetrieveTPUEmbeddingProximalAdagradParametersInst: An instance of ‘RetrieveTPUEmbeddingProximalAdagradParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingProximalYogiParameters: Builder for the RetrieveTPUEmbeddingProximalYogiParameters operation.
RetrieveTPUEmbeddingProximalYogiParametersInst: An instance of ‘RetrieveTPUEmbeddingProximalYogiParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingRMSPropParameters: Builder for the RetrieveTPUEmbeddingRMSPropParameters operation.
RetrieveTPUEmbeddingRMSPropParametersInst: An instance of ‘RetrieveTPUEmbeddingRMSPropParameters’ Operation with it’s Outputs and Inputs exposed as methods.
RetrieveTPUEmbeddingStochasticGradientDescentParameters: Builder for the RetrieveTPUEmbeddingStochasticGradientDescentParameters operation.
RetrieveTPUEmbeddingStochasticGradientDescentParametersInst: An instance of ‘RetrieveTPUEmbeddingStochasticGradientDescentParameters’ Operation with it’s Outputs and Inputs exposed as methods.
Reverse: Builder for the Reverse operation.
ReverseInst: An instance of ‘Reverse’ Operation with it’s Outputs and Inputs exposed as methods.
ReverseSequence: Builder for the ReverseSequence operation.
ReverseSequenceInst: An instance of ‘ReverseSequence’ Operation with it’s Outputs and Inputs exposed as methods.
ReverseV2: Builder for the ReverseV2 operation.
ReverseV2Inst: An instance of ‘ReverseV2’ Operation with it’s Outputs and Inputs exposed as methods.
RewriteDataset: Builder for the RewriteDataset operation.
RewriteDatasetInst: An instance of ‘RewriteDataset’ Operation with it’s Outputs and Inputs exposed as methods.
RightShift: Builder for the RightShift operation.
RightShiftInst: An instance of ‘RightShift’ Operation with it’s Outputs and Inputs exposed as methods.
Rint: Builder for the Rint operation.
RintInst: An instance of ‘Rint’ Operation with it’s Outputs and Inputs exposed as methods.
RiscAbs: Builder for the RiscAbs operation.
RiscAbsInst: An instance of ‘RiscAbs’ Operation with it’s Outputs and Inputs exposed as methods.
RiscAdd: Builder for the RiscAdd operation.
RiscAddInst: An instance of ‘RiscAdd’ Operation with it’s Outputs and Inputs exposed as methods.
RiscBinaryArithmetic: Builder for the RiscBinaryArithmetic operation.
RiscBinaryArithmeticInst: An instance of ‘RiscBinaryArithmetic’ Operation with it’s Outputs and Inputs exposed as methods.
RiscBinaryComparison: Builder for the RiscBinaryComparison operation.
RiscBinaryComparisonInst: An instance of ‘RiscBinaryComparison’ Operation with it’s Outputs and Inputs exposed as methods.
RiscBitcast: Builder for the RiscBitcast operation.
RiscBitcastInst: An instance of ‘RiscBitcast’ Operation with it’s Outputs and Inputs exposed as methods.
RiscBroadcast: Builder for the RiscBroadcast operation.
RiscBroadcastInst: An instance of ‘RiscBroadcast’ Operation with it’s Outputs and Inputs exposed as methods.
RiscCast: Builder for the RiscCast operation.
RiscCastInst: An instance of ‘RiscCast’ Operation with it’s Outputs and Inputs exposed as methods.
RiscCeil: Builder for the RiscCeil operation.
RiscCeilInst: An instance of ‘RiscCeil’ Operation with it’s Outputs and Inputs exposed as methods.
RiscCholesky: Builder for the RiscCholesky operation.
RiscCholeskyInst: An instance of ‘RiscCholesky’ Operation with it’s Outputs and Inputs exposed as methods.
RiscConcat: Builder for the RiscConcat operation.
RiscConcatInst: An instance of ‘RiscConcat’ Operation with it’s Outputs and Inputs exposed as methods.
RiscCondition: Builder for the RiscCondition operation.
RiscConditionInst: An instance of ‘RiscCondition’ Operation with it’s Outputs and Inputs exposed as methods.
RiscConv: Builder for the RiscConv operation.
RiscConvInst: An instance of ‘RiscConv’ Operation with it’s Outputs and Inputs exposed as methods.
RiscCos: Builder for the RiscCos operation.
RiscCosInst: An instance of ‘RiscCos’ Operation with it’s Outputs and Inputs exposed as methods.
RiscDiv: Builder for the RiscDiv operation.
RiscDivInst: An instance of ‘RiscDiv’ Operation with it’s Outputs and Inputs exposed as methods.
RiscDot: Builder for the RiscDot operation.
RiscDotInst: An instance of ‘RiscDot’ Operation with it’s Outputs and Inputs exposed as methods.
RiscExp: Builder for the RiscExp operation.
RiscExpInst: An instance of ‘RiscExp’ Operation with it’s Outputs and Inputs exposed as methods.
RiscFft: Builder for the RiscFft operation.
RiscFftInst: An instance of ‘RiscFft’ Operation with it’s Outputs and Inputs exposed as methods.
RiscFloor: Builder for the RiscFloor operation.
RiscFloorInst: An instance of ‘RiscFloor’ Operation with it’s Outputs and Inputs exposed as methods.
RiscGather: Builder for the RiscGather operation.
RiscGatherInst: An instance of ‘RiscGather’ Operation with it’s Outputs and Inputs exposed as methods.
RiscImag: Builder for the RiscImag operation.
RiscImagInst: An instance of ‘RiscImag’ Operation with it’s Outputs and Inputs exposed as methods.
RiscIsFinite: Builder for the RiscIsFinite operation.
RiscIsFiniteInst: An instance of ‘RiscIsFinite’ Operation with it’s Outputs and Inputs exposed as methods.
RiscLog: Builder for the RiscLog operation.
RiscLogInst: An instance of ‘RiscLog’ Operation with it’s Outputs and Inputs exposed as methods.
RiscLogicalAnd: Builder for the RiscLogicalAnd operation.
RiscLogicalAndInst: An instance of ‘RiscLogicalAnd’ Operation with it’s Outputs and Inputs exposed as methods.
RiscLogicalNot: Builder for the RiscLogicalNot operation.
RiscLogicalNotInst: An instance of ‘RiscLogicalNot’ Operation with it’s Outputs and Inputs exposed as methods.
RiscLogicalOr: Builder for the RiscLogicalOr operation.
RiscLogicalOrInst: An instance of ‘RiscLogicalOr’ Operation with it’s Outputs and Inputs exposed as methods.
RiscMax: Builder for the RiscMax operation.
RiscMaxInst: An instance of ‘RiscMax’ Operation with it’s Outputs and Inputs exposed as methods.
RiscMin: Builder for the RiscMin operation.
RiscMinInst: An instance of ‘RiscMin’ Operation with it’s Outputs and Inputs exposed as methods.
RiscMul: Builder for the RiscMul operation.
RiscMulInst: An instance of ‘RiscMul’ Operation with it’s Outputs and Inputs exposed as methods.
RiscNeg: Builder for the RiscNeg operation.
RiscNegInst: An instance of ‘RiscNeg’ Operation with it’s Outputs and Inputs exposed as methods.
RiscPad: Builder for the RiscPad operation.
RiscPadInst: An instance of ‘RiscPad’ Operation with it’s Outputs and Inputs exposed as methods.
RiscPool: Builder for the RiscPool operation.
RiscPoolInst: An instance of ‘RiscPool’ Operation with it’s Outputs and Inputs exposed as methods.
RiscPow: Builder for the RiscPow operation.
RiscPowInst: An instance of ‘RiscPow’ Operation with it’s Outputs and Inputs exposed as methods.
RiscRandomUniform: Builder for the RiscRandomUniform operation.
RiscRandomUniformInst: An instance of ‘RiscRandomUniform’ Operation with it’s Outputs and Inputs exposed as methods.
RiscReal: Builder for the RiscReal operation.
RiscRealInst: An instance of ‘RiscReal’ Operation with it’s Outputs and Inputs exposed as methods.
RiscReduce: Builder for the RiscReduce operation.
RiscReduceInst: An instance of ‘RiscReduce’ Operation with it’s Outputs and Inputs exposed as methods.
RiscRem: Builder for the RiscRem operation.
RiscRemInst: An instance of ‘RiscRem’ Operation with it’s Outputs and Inputs exposed as methods.
RiscReshape: Builder for the RiscReshape operation.
RiscReshapeInst: An instance of ‘RiscReshape’ Operation with it’s Outputs and Inputs exposed as methods.
RiscReverse: Builder for the RiscReverse operation.
RiscReverseInst: An instance of ‘RiscReverse’ Operation with it’s Outputs and Inputs exposed as methods.
RiscScatter: Builder for the RiscScatter operation.
RiscScatterInst: An instance of ‘RiscScatter’ Operation with it’s Outputs and Inputs exposed as methods.
RiscShape: Builder for the RiscShape operation.
RiscShapeInst: An instance of ‘RiscShape’ Operation with it’s Outputs and Inputs exposed as methods.
RiscSign: Builder for the RiscSign operation.
RiscSignInst: An instance of ‘RiscSign’ Operation with it’s Outputs and Inputs exposed as methods.
RiscSlice: Builder for the RiscSlice operation.
RiscSliceInst: An instance of ‘RiscSlice’ Operation with it’s Outputs and Inputs exposed as methods.
RiscSort: Builder for the RiscSort operation.
RiscSortInst: An instance of ‘RiscSort’ Operation with it’s Outputs and Inputs exposed as methods.
RiscSqueeze: Builder for the RiscSqueeze operation.
RiscSqueezeInst: An instance of ‘RiscSqueeze’ Operation with it’s Outputs and Inputs exposed as methods.
RiscSub: Builder for the RiscSub operation.
RiscSubInst: An instance of ‘RiscSub’ Operation with it’s Outputs and Inputs exposed as methods.
RiscTranspose: Builder for the RiscTranspose operation.
RiscTransposeInst: An instance of ‘RiscTranspose’ Operation with it’s Outputs and Inputs exposed as methods.
RiscTriangularSolve: Builder for the RiscTriangularSolve operation.
RiscTriangularSolveInst: An instance of ‘RiscTriangularSolve’ Operation with it’s Outputs and Inputs exposed as methods.
RiscUnary: Builder for the RiscUnary operation.
RiscUnaryInst: An instance of ‘RiscUnary’ Operation with it’s Outputs and Inputs exposed as methods.
RiscWhile: Builder for the RiscWhile operation.
RiscWhileInst: An instance of ‘RiscWhile’ Operation with it’s Outputs and Inputs exposed as methods.
RngReadAndSkip: Builder for the RngReadAndSkip operation.
RngReadAndSkipInst: An instance of ‘RngReadAndSkip’ Operation with it’s Outputs and Inputs exposed as methods.
RngSkip: Builder for the RngSkip operation.
RngSkipInst: An instance of ‘RngSkip’ Operation with it’s Outputs and Inputs exposed as methods.
Roll: Builder for the Roll operation.
RollInst: An instance of ‘Roll’ Operation with it’s Outputs and Inputs exposed as methods.
Round: Builder for the Round operation.
RoundInst: An instance of ‘Round’ Operation with it’s Outputs and Inputs exposed as methods.
Rsqrt: Builder for the Rsqrt operation.
RsqrtGrad: Builder for the RsqrtGrad operation.
RsqrtGradInst: An instance of ‘RsqrtGrad’ Operation with it’s Outputs and Inputs exposed as methods.
RsqrtInst: An instance of ‘Rsqrt’ Operation with it’s Outputs and Inputs exposed as methods.
SampleDistortedBoundingBox: Builder for the SampleDistortedBoundingBox operation.
SampleDistortedBoundingBoxInst: An instance of ‘SampleDistortedBoundingBox’ Operation with it’s Outputs and Inputs exposed as methods.
SampleDistortedBoundingBoxV2: Builder for the SampleDistortedBoundingBoxV2 operation.
SampleDistortedBoundingBoxV2Inst: An instance of ‘SampleDistortedBoundingBoxV2’ Operation with it’s Outputs and Inputs exposed as methods.
SamplingDataset: Builder for the SamplingDataset operation.
SamplingDatasetInst: An instance of ‘SamplingDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Save: Builder for the Save operation.
SaveDataset: Builder for the SaveDataset operation.
SaveDatasetInst: An instance of ‘SaveDataset’ Operation with it’s Outputs and Inputs exposed as methods.
SaveDatasetV2: Builder for the SaveDatasetV2 operation.
SaveDatasetV2Inst: An instance of ‘SaveDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
SaveInst: An instance of ‘Save’ Operation with it’s Outputs and Inputs exposed as methods.
SaveSlices: Builder for the SaveSlices operation.
SaveSlicesInst: An instance of ‘SaveSlices’ Operation with it’s Outputs and Inputs exposed as methods.
SaveV2: Builder for the SaveV2 operation.
SaveV2Inst: An instance of ‘SaveV2’ Operation with it’s Outputs and Inputs exposed as methods.
ScalarSummary: Builder for the ScalarSummary operation.
ScalarSummaryInst: An instance of ‘ScalarSummary’ Operation with it’s Outputs and Inputs exposed as methods.
ScaleAndTranslate: Builder for the ScaleAndTranslate operation.
ScaleAndTranslateGrad: Builder for the ScaleAndTranslateGrad operation.
ScaleAndTranslateGradInst: An instance of ‘ScaleAndTranslateGrad’ Operation with it’s Outputs and Inputs exposed as methods.
ScaleAndTranslateInst: An instance of ‘ScaleAndTranslate’ Operation with it’s Outputs and Inputs exposed as methods.
ScanDataset: Builder for the ScanDataset operation.
ScanDatasetInst: An instance of ‘ScanDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterAdd: Builder for the ScatterAdd operation.
ScatterAddInst: An instance of ‘ScatterAdd’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterDiv: Builder for the ScatterDiv operation.
ScatterDivInst: An instance of ‘ScatterDiv’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterMax: Builder for the ScatterMax operation.
ScatterMaxInst: An instance of ‘ScatterMax’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterMin: Builder for the ScatterMin operation.
ScatterMinInst: An instance of ‘ScatterMin’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterMul: Builder for the ScatterMul operation.
ScatterMulInst: An instance of ‘ScatterMul’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNd: Builder for the ScatterNd operation.
ScatterNdAdd: Builder for the ScatterNdAdd operation.
ScatterNdAddInst: An instance of ‘ScatterNdAdd’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdInst: An instance of ‘ScatterNd’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdMax: Builder for the ScatterNdMax operation.
ScatterNdMaxInst: An instance of ‘ScatterNdMax’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdMin: Builder for the ScatterNdMin operation.
ScatterNdMinInst: An instance of ‘ScatterNdMin’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdNonAliasingAdd: Builder for the ScatterNdNonAliasingAdd operation.
ScatterNdNonAliasingAddInst: An instance of ‘ScatterNdNonAliasingAdd’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdSub: Builder for the ScatterNdSub operation.
ScatterNdSubInst: An instance of ‘ScatterNdSub’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterNdUpdate: Builder for the ScatterNdUpdate operation.
ScatterNdUpdateInst: An instance of ‘ScatterNdUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterSub: Builder for the ScatterSub operation.
ScatterSubInst: An instance of ‘ScatterSub’ Operation with it’s Outputs and Inputs exposed as methods.
ScatterUpdate: Builder for the ScatterUpdate operation.
ScatterUpdateInst: An instance of ‘ScatterUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
SdcaFprint: Builder for the SdcaFprint operation.
SdcaFprintInst: An instance of ‘SdcaFprint’ Operation with it’s Outputs and Inputs exposed as methods.
SdcaOptimizer: Builder for the SdcaOptimizer operation.
SdcaOptimizerInst: An instance of ‘SdcaOptimizer’ Operation with it’s Outputs and Inputs exposed as methods.
SdcaOptimizerV2: Builder for the SdcaOptimizerV2 operation.
SdcaOptimizerV2Inst: An instance of ‘SdcaOptimizerV2’ Operation with it’s Outputs and Inputs exposed as methods.
SdcaShrinkL1: Builder for the SdcaShrinkL1 operation.
SdcaShrinkL1Inst: An instance of ‘SdcaShrinkL1’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentMax: Builder for the SegmentMax operation.
SegmentMaxInst: An instance of ‘SegmentMax’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentMaxV2: Builder for the SegmentMaxV2 operation.
SegmentMaxV2Inst: An instance of ‘SegmentMaxV2’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentMean: Builder for the SegmentMean operation.
SegmentMeanInst: An instance of ‘SegmentMean’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentMin: Builder for the SegmentMin operation.
SegmentMinInst: An instance of ‘SegmentMin’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentMinV2: Builder for the SegmentMinV2 operation.
SegmentMinV2Inst: An instance of ‘SegmentMinV2’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentProd: Builder for the SegmentProd operation.
SegmentProdInst: An instance of ‘SegmentProd’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentProdV2: Builder for the SegmentProdV2 operation.
SegmentProdV2Inst: An instance of ‘SegmentProdV2’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentSum: Builder for the SegmentSum operation.
SegmentSumInst: An instance of ‘SegmentSum’ Operation with it’s Outputs and Inputs exposed as methods.
SegmentSumV2: Builder for the SegmentSumV2 operation.
SegmentSumV2Inst: An instance of ‘SegmentSumV2’ Operation with it’s Outputs and Inputs exposed as methods.
Select: Builder for the Select operation.
SelectInst: An instance of ‘Select’ Operation with it’s Outputs and Inputs exposed as methods.
SelectV2: Builder for the SelectV2 operation.
SelectV2Inst: An instance of ‘SelectV2’ Operation with it’s Outputs and Inputs exposed as methods.
SelfAdjointEig: Builder for the SelfAdjointEig operation.
SelfAdjointEigInst: An instance of ‘SelfAdjointEig’ Operation with it’s Outputs and Inputs exposed as methods.
SelfAdjointEigV2: Builder for the SelfAdjointEigV2 operation.
SelfAdjointEigV2Inst: An instance of ‘SelfAdjointEigV2’ Operation with it’s Outputs and Inputs exposed as methods.
Selu: Builder for the Selu operation.
SeluGrad: Builder for the SeluGrad operation.
SeluGradInst: An instance of ‘SeluGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SeluInst: An instance of ‘Selu’ Operation with it’s Outputs and Inputs exposed as methods.
Send: Builder for the Send operation.
SendInst: An instance of ‘Send’ Operation with it’s Outputs and Inputs exposed as methods.
SendTPUEmbeddingGradients: Builder for the SendTPUEmbeddingGradients operation.
SendTPUEmbeddingGradientsInst: An instance of ‘SendTPUEmbeddingGradients’ Operation with it’s Outputs and Inputs exposed as methods.
SerializeIterator: Builder for the SerializeIterator operation.
SerializeIteratorInst: An instance of ‘SerializeIterator’ Operation with it’s Outputs and Inputs exposed as methods.
SerializeManySparse: Builder for the SerializeManySparse operation.
SerializeManySparseInst: An instance of ‘SerializeManySparse’ Operation with it’s Outputs and Inputs exposed as methods.
SerializeSparse: Builder for the SerializeSparse operation.
SerializeSparseInst: An instance of ‘SerializeSparse’ Operation with it’s Outputs and Inputs exposed as methods.
SerializeTensor: Builder for the SerializeTensor operation.
SerializeTensorInst: An instance of ‘SerializeTensor’ Operation with it’s Outputs and Inputs exposed as methods.
SetSize: Builder for the SetSize operation.
SetSizeInst: An instance of ‘SetSize’ Operation with it’s Outputs and Inputs exposed as methods.
SetStatsAggregatorDataset: Builder for the SetStatsAggregatorDataset operation.
SetStatsAggregatorDatasetInst: An instance of ‘SetStatsAggregatorDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Shape: Builder for the Shape operation.
ShapeInst: An instance of ‘Shape’ Operation with it’s Outputs and Inputs exposed as methods.
ShapeN: Builder for the ShapeN operation.
ShapeNInst: An instance of ‘ShapeN’ Operation with it’s Outputs and Inputs exposed as methods.
ShardDataset: Builder for the ShardDataset operation.
ShardDatasetInst: An instance of ‘ShardDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ShardedFilename: Builder for the ShardedFilename operation.
ShardedFilenameInst: An instance of ‘ShardedFilename’ Operation with it’s Outputs and Inputs exposed as methods.
ShardedFilespec: Builder for the ShardedFilespec operation.
ShardedFilespecInst: An instance of ‘ShardedFilespec’ Operation with it’s Outputs and Inputs exposed as methods.
ShuffleAndRepeatDataset: Builder for the ShuffleAndRepeatDataset operation.
ShuffleAndRepeatDatasetInst: An instance of ‘ShuffleAndRepeatDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ShuffleAndRepeatDatasetV2: Builder for the ShuffleAndRepeatDatasetV2 operation.
ShuffleAndRepeatDatasetV2Inst: An instance of ‘ShuffleAndRepeatDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ShuffleDataset: Builder for the ShuffleDataset operation.
ShuffleDatasetInst: An instance of ‘ShuffleDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ShuffleDatasetV2: Builder for the ShuffleDatasetV2 operation.
ShuffleDatasetV3: Builder for the ShuffleDatasetV3 operation.
ShuffleDatasetV2Inst: An instance of ‘ShuffleDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
ShuffleDatasetV3Inst: An instance of ‘ShuffleDatasetV3’ Operation with it’s Outputs and Inputs exposed as methods.
ShutdownDistributedTPU: Builder for the ShutdownDistributedTPU operation.
ShutdownDistributedTPUInst: An instance of ‘ShutdownDistributedTPU’ Operation with it’s Outputs and Inputs exposed as methods.
ShutdownTPUSystem: Builder for the ShutdownTPUSystem operation.
ShutdownTPUSystemInst: An instance of ‘ShutdownTPUSystem’ Operation with it’s Outputs and Inputs exposed as methods.
Sigmoid: Builder for the Sigmoid operation.
SigmoidGrad: Builder for the SigmoidGrad operation.
SigmoidGradInst: An instance of ‘SigmoidGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SigmoidInst: An instance of ‘Sigmoid’ Operation with it’s Outputs and Inputs exposed as methods.
Sign: Builder for the Sign operation.
SignInst: An instance of ‘Sign’ Operation with it’s Outputs and Inputs exposed as methods.
Sin: Builder for the Sin operation.
SinInst: An instance of ‘Sin’ Operation with it’s Outputs and Inputs exposed as methods.
Sinh: Builder for the Sinh operation.
SinhInst: An instance of ‘Sinh’ Operation with it’s Outputs and Inputs exposed as methods.
Size: Builder for the Size operation.
SizeInst: An instance of ‘Size’ Operation with it’s Outputs and Inputs exposed as methods.
SkipDataset: Builder for the SkipDataset operation.
SkipDatasetInst: An instance of ‘SkipDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Skipgram: Builder for the Skipgram operation.
SkipgramInst: An instance of ‘Skipgram’ Operation with it’s Outputs and Inputs exposed as methods.
SleepDataset: Builder for the SleepDataset operation.
SleepDatasetInst: An instance of ‘SleepDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Slice: Builder for the Slice operation.
SliceInst: An instance of ‘Slice’ Operation with it’s Outputs and Inputs exposed as methods.
SlidingWindowDataset: Builder for the SlidingWindowDataset operation.
SlidingWindowDatasetInst: An instance of ‘SlidingWindowDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Snapshot: Builder for the Snapshot operation.
SnapshotChunkDataset: Builder for the SnapshotChunkDataset operation.
SnapshotChunkDatasetInst: An instance of ‘SnapshotChunkDataset’ Operation with it’s Outputs and Inputs exposed as methods.
SnapshotDataset: Builder for the SnapshotDataset operation.
SnapshotDatasetInst: An instance of ‘SnapshotDataset’ Operation with it’s Outputs and Inputs exposed as methods.
SnapshotDatasetReader: Builder for the SnapshotDatasetReader operation.
SnapshotDatasetReaderInst: An instance of ‘SnapshotDatasetReader’ Operation with it’s Outputs and Inputs exposed as methods.
SnapshotDatasetV2: Builder for the SnapshotDatasetV2 operation.
SnapshotDatasetV2Inst: An instance of ‘SnapshotDatasetV2’ Operation with it’s Outputs and Inputs exposed as methods.
SnapshotInst: An instance of ‘Snapshot’ Operation with it’s Outputs and Inputs exposed as methods.
SnapshotNestedDatasetReader: Builder for the SnapshotNestedDatasetReader operation.
SnapshotNestedDatasetReaderInst: An instance of ‘SnapshotNestedDatasetReader’ Operation with it’s Outputs and Inputs exposed as methods.
SobolSample: Builder for the SobolSample operation.
SobolSampleInst: An instance of ‘SobolSample’ Operation with it’s Outputs and Inputs exposed as methods.
Softmax: Builder for the Softmax operation.
SoftmaxCrossEntropyWithLogits: Builder for the SoftmaxCrossEntropyWithLogits operation.
SoftmaxCrossEntropyWithLogitsInst: An instance of ‘SoftmaxCrossEntropyWithLogits’ Operation with it’s Outputs and Inputs exposed as methods.
SoftmaxInst: An instance of ‘Softmax’ Operation with it’s Outputs and Inputs exposed as methods.
Softplus: Builder for the Softplus operation.
SoftplusGrad: Builder for the SoftplusGrad operation.
SoftplusGradInst: An instance of ‘SoftplusGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SoftplusInst: An instance of ‘Softplus’ Operation with it’s Outputs and Inputs exposed as methods.
Softsign: Builder for the Softsign operation.
SoftsignGrad: Builder for the SoftsignGrad operation.
SoftsignGradInst: An instance of ‘SoftsignGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SoftsignInst: An instance of ‘Softsign’ Operation with it’s Outputs and Inputs exposed as methods.
SpaceToBatch: Builder for the SpaceToBatch operation.
SpaceToBatchInst: An instance of ‘SpaceToBatch’ Operation with it’s Outputs and Inputs exposed as methods.
SpaceToBatchND: Builder for the SpaceToBatchND operation.
SpaceToBatchNDInst: An instance of ‘SpaceToBatchND’ Operation with it’s Outputs and Inputs exposed as methods.
SpaceToDepth: Builder for the SpaceToDepth operation.
SpaceToDepthInst: An instance of ‘SpaceToDepth’ Operation with it’s Outputs and Inputs exposed as methods.
SparseAccumulatorApplyGradient: Builder for the SparseAccumulatorApplyGradient operation.
SparseAccumulatorApplyGradientInst: An instance of ‘SparseAccumulatorApplyGradient’ Operation with it’s Outputs and Inputs exposed as methods.
SparseAccumulatorTakeGradient: Builder for the SparseAccumulatorTakeGradient operation.
SparseAccumulatorTakeGradientInst: An instance of ‘SparseAccumulatorTakeGradient’ Operation with it’s Outputs and Inputs exposed as methods.
SparseAdd: Builder for the SparseAdd operation.
SparseAddGrad: Builder for the SparseAddGrad operation.
SparseAddGradInst: An instance of ‘SparseAddGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseAddInst: An instance of ‘SparseAdd’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyAdadelta: Builder for the SparseApplyAdadelta operation.
SparseApplyAdadeltaInst: An instance of ‘SparseApplyAdadelta’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyAdagrad: Builder for the SparseApplyAdagrad operation.
SparseApplyAdagradDA: Builder for the SparseApplyAdagradDA operation.
SparseApplyAdagradDAInst: An instance of ‘SparseApplyAdagradDA’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyAdagradInst: An instance of ‘SparseApplyAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyAdagradV2: Builder for the SparseApplyAdagradV2 operation.
SparseApplyAdagradV2Inst: An instance of ‘SparseApplyAdagradV2’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyCenteredRMSProp: Builder for the SparseApplyCenteredRMSProp operation.
SparseApplyCenteredRMSPropInst: An instance of ‘SparseApplyCenteredRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyFtrl: Builder for the SparseApplyFtrl operation.
SparseApplyFtrlInst: An instance of ‘SparseApplyFtrl’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyFtrlV2: Builder for the SparseApplyFtrlV2 operation.
SparseApplyFtrlV2Inst: An instance of ‘SparseApplyFtrlV2’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyMomentum: Builder for the SparseApplyMomentum operation.
SparseApplyMomentumInst: An instance of ‘SparseApplyMomentum’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyProximalAdagrad: Builder for the SparseApplyProximalAdagrad operation.
SparseApplyProximalAdagradInst: An instance of ‘SparseApplyProximalAdagrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyProximalGradientDescent: Builder for the SparseApplyProximalGradientDescent operation.
SparseApplyProximalGradientDescentInst: An instance of ‘SparseApplyProximalGradientDescent’ Operation with it’s Outputs and Inputs exposed as methods.
SparseApplyRMSProp: Builder for the SparseApplyRMSProp operation.
SparseApplyRMSPropInst: An instance of ‘SparseApplyRMSProp’ Operation with it’s Outputs and Inputs exposed as methods.
SparseBincount: Builder for the SparseBincount operation.
SparseBincountInst: An instance of ‘SparseBincount’ Operation with it’s Outputs and Inputs exposed as methods.
SparseConcat: Builder for the SparseConcat operation.
SparseConcatInst: An instance of ‘SparseConcat’ Operation with it’s Outputs and Inputs exposed as methods.
SparseConditionalAccumulator: Builder for the SparseConditionalAccumulator operation.
SparseConditionalAccumulatorInst: An instance of ‘SparseConditionalAccumulator’ Operation with it’s Outputs and Inputs exposed as methods.
SparseCountSparseOutput: Builder for the SparseCountSparseOutput operation.
SparseCountSparseOutputInst: An instance of ‘SparseCountSparseOutput’ Operation with it’s Outputs and Inputs exposed as methods.
SparseCross: Builder for the SparseCross operation.
SparseCrossHashed: Builder for the SparseCrossHashed operation.
SparseCrossHashedInst: An instance of ‘SparseCrossHashed’ Operation with it’s Outputs and Inputs exposed as methods.
SparseCrossInst: An instance of ‘SparseCross’ Operation with it’s Outputs and Inputs exposed as methods.
SparseCrossV2: Builder for the SparseCrossV2 operation.
SparseCrossV2Inst: An instance of ‘SparseCrossV2’ Operation with it’s Outputs and Inputs exposed as methods.
SparseDenseCwiseAdd: Builder for the SparseDenseCwiseAdd operation.
SparseDenseCwiseAddInst: An instance of ‘SparseDenseCwiseAdd’ Operation with it’s Outputs and Inputs exposed as methods.
SparseDenseCwiseDiv: Builder for the SparseDenseCwiseDiv operation.
SparseDenseCwiseDivInst: An instance of ‘SparseDenseCwiseDiv’ Operation with it’s Outputs and Inputs exposed as methods.
SparseDenseCwiseMul: Builder for the SparseDenseCwiseMul operation.
SparseDenseCwiseMulInst: An instance of ‘SparseDenseCwiseMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseFillEmptyRows: Builder for the SparseFillEmptyRows operation.
SparseFillEmptyRowsGrad: Builder for the SparseFillEmptyRowsGrad operation.
SparseFillEmptyRowsGradInst: An instance of ‘SparseFillEmptyRowsGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseFillEmptyRowsInst: An instance of ‘SparseFillEmptyRows’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatMul: Builder for the SparseMatMul operation.
SparseMatMulInst: An instance of ‘SparseMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixAdd: Builder for the SparseMatrixAdd operation.
SparseMatrixAddInst: An instance of ‘SparseMatrixAdd’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixMatMul: Builder for the SparseMatrixMatMul operation.
SparseMatrixMatMulInst: An instance of ‘SparseMatrixMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixMul: Builder for the SparseMatrixMul operation.
SparseMatrixMulInst: An instance of ‘SparseMatrixMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixNNZ: Builder for the SparseMatrixNNZ operation.
SparseMatrixNNZInst: An instance of ‘SparseMatrixNNZ’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixOrderingAMD: Builder for the SparseMatrixOrderingAMD operation.
SparseMatrixOrderingAMDInst: An instance of ‘SparseMatrixOrderingAMD’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixSoftmax: Builder for the SparseMatrixSoftmax operation.
SparseMatrixSoftmaxGrad: Builder for the SparseMatrixSoftmaxGrad operation.
SparseMatrixSoftmaxGradInst: An instance of ‘SparseMatrixSoftmaxGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixSoftmaxInst: An instance of ‘SparseMatrixSoftmax’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixSparseCholesky: Builder for the SparseMatrixSparseCholesky operation.
SparseMatrixSparseCholeskyInst: An instance of ‘SparseMatrixSparseCholesky’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixSparseMatMul: Builder for the SparseMatrixSparseMatMul operation.
SparseMatrixSparseMatMulInst: An instance of ‘SparseMatrixSparseMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixTranspose: Builder for the SparseMatrixTranspose operation.
SparseMatrixTransposeInst: An instance of ‘SparseMatrixTranspose’ Operation with it’s Outputs and Inputs exposed as methods.
SparseMatrixZeros: Builder for the SparseMatrixZeros operation.
SparseMatrixZerosInst: An instance of ‘SparseMatrixZeros’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReduceMax: Builder for the SparseReduceMax operation.
SparseReduceMaxInst: An instance of ‘SparseReduceMax’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReduceMaxSparse: Builder for the SparseReduceMaxSparse operation.
SparseReduceMaxSparseInst: An instance of ‘SparseReduceMaxSparse’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReduceSum: Builder for the SparseReduceSum operation.
SparseReduceSumInst: An instance of ‘SparseReduceSum’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReduceSumSparse: Builder for the SparseReduceSumSparse operation.
SparseReduceSumSparseInst: An instance of ‘SparseReduceSumSparse’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReorder: Builder for the SparseReorder operation.
SparseReorderInst: An instance of ‘SparseReorder’ Operation with it’s Outputs and Inputs exposed as methods.
SparseReshape: Builder for the SparseReshape operation.
SparseReshapeInst: An instance of ‘SparseReshape’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentMean: Builder for the SparseSegmentMean operation.
SparseSegmentMeanGrad: Builder for the SparseSegmentMeanGrad operation.
SparseSegmentMeanGradInst: An instance of ‘SparseSegmentMeanGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentMeanInst: An instance of ‘SparseSegmentMean’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentMeanWithNumSegments: Builder for the SparseSegmentMeanWithNumSegments operation.
SparseSegmentMeanWithNumSegmentsInst: An instance of ‘SparseSegmentMeanWithNumSegments’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSqrtN: Builder for the SparseSegmentSqrtN operation.
SparseSegmentSqrtNGrad: Builder for the SparseSegmentSqrtNGrad operation.
SparseSegmentSqrtNGradInst: An instance of ‘SparseSegmentSqrtNGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSqrtNInst: An instance of ‘SparseSegmentSqrtN’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSqrtNWithNumSegments: Builder for the SparseSegmentSqrtNWithNumSegments operation.
SparseSegmentSqrtNWithNumSegmentsInst: An instance of ‘SparseSegmentSqrtNWithNumSegments’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSum: Builder for the SparseSegmentSum operation.
SparseSegmentSumGrad: Builder for the SparseSegmentSumGrad operation.
SparseSegmentSumGradInst: An instance of ‘SparseSegmentSumGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSumInst: An instance of ‘SparseSegmentSum’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSegmentSumWithNumSegments: Builder for the SparseSegmentSumWithNumSegments operation.
SparseSegmentSumWithNumSegmentsInst: An instance of ‘SparseSegmentSumWithNumSegments’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSlice: Builder for the SparseSlice operation.
SparseSliceGrad: Builder for the SparseSliceGrad operation.
SparseSliceGradInst: An instance of ‘SparseSliceGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSliceInst: An instance of ‘SparseSlice’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSoftmax: Builder for the SparseSoftmax operation.
SparseSoftmaxCrossEntropyWithLogits: Builder for the SparseSoftmaxCrossEntropyWithLogits operation.
SparseSoftmaxCrossEntropyWithLogitsInst: An instance of ‘SparseSoftmaxCrossEntropyWithLogits’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSoftmaxInst: An instance of ‘SparseSoftmax’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSparseMaximum: Builder for the SparseSparseMaximum operation.
SparseSparseMaximumInst: An instance of ‘SparseSparseMaximum’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSparseMinimum: Builder for the SparseSparseMinimum operation.
SparseSparseMinimumInst: An instance of ‘SparseSparseMinimum’ Operation with it’s Outputs and Inputs exposed as methods.
SparseSplit: Builder for the SparseSplit operation.
SparseSplitInst: An instance of ‘SparseSplit’ Operation with it’s Outputs and Inputs exposed as methods.
SparseTensorDenseAdd: Builder for the SparseTensorDenseAdd operation.
SparseTensorDenseAddInst: An instance of ‘SparseTensorDenseAdd’ Operation with it’s Outputs and Inputs exposed as methods.
SparseTensorDenseMatMul: Builder for the SparseTensorDenseMatMul operation.
SparseTensorDenseMatMulInst: An instance of ‘SparseTensorDenseMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
SparseTensorSliceDataset: Builder for the SparseTensorSliceDataset operation.
SparseTensorSliceDatasetInst: An instance of ‘SparseTensorSliceDataset’ Operation with it’s Outputs and Inputs exposed as methods.
SparseTensorToCSRSparseMatrix: Builder for the SparseTensorToCSRSparseMatrix operation.
SparseTensorToCSRSparseMatrixInst: An instance of ‘SparseTensorToCSRSparseMatrix’ Operation with it’s Outputs and Inputs exposed as methods.
SparseToDense: Builder for the SparseToDense operation.
SparseToDenseInst: An instance of ‘SparseToDense’ Operation with it’s Outputs and Inputs exposed as methods.
SparseToSparseSetOperation: Builder for the SparseToSparseSetOperation operation.
SparseToSparseSetOperationInst: An instance of ‘SparseToSparseSetOperation’ Operation with it’s Outputs and Inputs exposed as methods.
Spence: Builder for the Spence operation.
SpenceInst: An instance of ‘Spence’ Operation with it’s Outputs and Inputs exposed as methods.
Split: Builder for the Split operation.
SplitDedupData: Builder for the SplitDedupData operation.
SplitDedupDataInst: An instance of ‘SplitDedupData’ Operation with it’s Outputs and Inputs exposed as methods.
SplitInst: An instance of ‘Split’ Operation with it’s Outputs and Inputs exposed as methods.
SplitV: Builder for the SplitV operation.
SplitVInst: An instance of ‘SplitV’ Operation with it’s Outputs and Inputs exposed as methods.
SqlDataset: Builder for the SqlDataset operation.
SqlDatasetInst: An instance of ‘SqlDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Sqrt: Builder for the Sqrt operation.
SqrtGrad: Builder for the SqrtGrad operation.
SqrtGradInst: An instance of ‘SqrtGrad’ Operation with it’s Outputs and Inputs exposed as methods.
SqrtInst: An instance of ‘Sqrt’ Operation with it’s Outputs and Inputs exposed as methods.
Square: Builder for the Square operation.
SquareInst: An instance of ‘Square’ Operation with it’s Outputs and Inputs exposed as methods.
SquaredDifference: Builder for the SquaredDifference operation.
SquaredDifferenceInst: An instance of ‘SquaredDifference’ Operation with it’s Outputs and Inputs exposed as methods.
Squeeze: Builder for the Squeeze operation.
SqueezeInst: An instance of ‘Squeeze’ Operation with it’s Outputs and Inputs exposed as methods.
Stack: Builder for the Stack operation.
StackClose: Builder for the StackClose operation.
StackCloseInst: An instance of ‘StackClose’ Operation with it’s Outputs and Inputs exposed as methods.
StackCloseV2: Builder for the StackCloseV2 operation.
StackCloseV2Inst: An instance of ‘StackCloseV2’ Operation with it’s Outputs and Inputs exposed as methods.
StackInst: An instance of ‘Stack’ Operation with it’s Outputs and Inputs exposed as methods.
StackPop: Builder for the StackPop operation.
StackPopInst: An instance of ‘StackPop’ Operation with it’s Outputs and Inputs exposed as methods.
StackPopV2: Builder for the StackPopV2 operation.
StackPopV2Inst: An instance of ‘StackPopV2’ Operation with it’s Outputs and Inputs exposed as methods.
StackPush: Builder for the StackPush operation.
StackPushInst: An instance of ‘StackPush’ Operation with it’s Outputs and Inputs exposed as methods.
StackPushV2: Builder for the StackPushV2 operation.
StackPushV2Inst: An instance of ‘StackPushV2’ Operation with it’s Outputs and Inputs exposed as methods.
StackV2: Builder for the StackV2 operation.
StackV2Inst: An instance of ‘StackV2’ Operation with it’s Outputs and Inputs exposed as methods.
Stage: Builder for the Stage operation.
StageClear: Builder for the StageClear operation.
StageClearInst: An instance of ‘StageClear’ Operation with it’s Outputs and Inputs exposed as methods.
StageInst: An instance of ‘Stage’ Operation with it’s Outputs and Inputs exposed as methods.
StagePeek: Builder for the StagePeek operation.
StagePeekInst: An instance of ‘StagePeek’ Operation with it’s Outputs and Inputs exposed as methods.
StageSize: Builder for the StageSize operation.
StageSizeInst: An instance of ‘StageSize’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulPartitionedCall: Builder for the StatefulPartitionedCall operation.
StatefulPartitionedCallInst: An instance of ‘StatefulPartitionedCall’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulRandomBinomial: Builder for the StatefulRandomBinomial operation.
StatefulRandomBinomialInst: An instance of ‘StatefulRandomBinomial’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulStandardNormal: Builder for the StatefulStandardNormal operation.
StatefulStandardNormalInst: An instance of ‘StatefulStandardNormal’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulStandardNormalV2: Builder for the StatefulStandardNormalV2 operation.
StatefulStandardNormalV2Inst: An instance of ‘StatefulStandardNormalV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulTruncatedNormal: Builder for the StatefulTruncatedNormal operation.
StatefulTruncatedNormalInst: An instance of ‘StatefulTruncatedNormal’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulUniform: Builder for the StatefulUniform operation.
StatefulUniformFullInt: Builder for the StatefulUniformFullInt operation.
StatefulUniformFullIntInst: An instance of ‘StatefulUniformFullInt’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulUniformInst: An instance of ‘StatefulUniform’ Operation with it’s Outputs and Inputs exposed as methods.
StatefulUniformInt: Builder for the StatefulUniformInt operation.
StatefulUniformIntInst: An instance of ‘StatefulUniformInt’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessCase: Builder for the StatelessCase operation.
StatelessCaseInst: An instance of ‘StatelessCase’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessIf: Builder for the StatelessIf operation.
StatelessIfInst: An instance of ‘StatelessIf’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessMultinomial: Builder for the StatelessMultinomial operation.
StatelessMultinomialInst: An instance of ‘StatelessMultinomial’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessParameterizedTruncatedNormal: Builder for the StatelessParameterizedTruncatedNormal operation.
StatelessParameterizedTruncatedNormalInst: An instance of ‘StatelessParameterizedTruncatedNormal’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomBinomial: Builder for the StatelessRandomBinomial operation.
StatelessRandomBinomialInst: An instance of ‘StatelessRandomBinomial’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomGammaV2: Builder for the StatelessRandomGammaV2 operation.
StatelessRandomGammaV3: Builder for the StatelessRandomGammaV3 operation.
StatelessRandomGammaV2Inst: An instance of ‘StatelessRandomGammaV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomGammaV3Inst: An instance of ‘StatelessRandomGammaV3’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomGetAlg: Builder for the StatelessRandomGetAlg operation.
StatelessRandomGetAlgInst: An instance of ‘StatelessRandomGetAlg’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomGetKeyCounter: Builder for the StatelessRandomGetKeyCounter operation.
StatelessRandomGetKeyCounterAlg: Builder for the StatelessRandomGetKeyCounterAlg operation.
StatelessRandomGetKeyCounterAlgInst: An instance of ‘StatelessRandomGetKeyCounterAlg’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomGetKeyCounterInst: An instance of ‘StatelessRandomGetKeyCounter’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomNormal: Builder for the StatelessRandomNormal operation.
StatelessRandomNormalInst: An instance of ‘StatelessRandomNormal’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomNormalV2: Builder for the StatelessRandomNormalV2 operation.
StatelessRandomNormalV2Inst: An instance of ‘StatelessRandomNormalV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomPoisson: Builder for the StatelessRandomPoisson operation.
StatelessRandomPoissonInst: An instance of ‘StatelessRandomPoisson’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniform: Builder for the StatelessRandomUniform operation.
StatelessRandomUniformFullInt: Builder for the StatelessRandomUniformFullInt operation.
StatelessRandomUniformFullIntInst: An instance of ‘StatelessRandomUniformFullInt’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniformFullIntV2: Builder for the StatelessRandomUniformFullIntV2 operation.
StatelessRandomUniformFullIntV2Inst: An instance of ‘StatelessRandomUniformFullIntV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniformInst: An instance of ‘StatelessRandomUniform’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniformInt: Builder for the StatelessRandomUniformInt operation.
StatelessRandomUniformIntInst: An instance of ‘StatelessRandomUniformInt’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniformIntV2: Builder for the StatelessRandomUniformIntV2 operation.
StatelessRandomUniformIntV2Inst: An instance of ‘StatelessRandomUniformIntV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessRandomUniformV2: Builder for the StatelessRandomUniformV2 operation.
StatelessRandomUniformV2Inst: An instance of ‘StatelessRandomUniformV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessSampleDistortedBoundingBox: Builder for the StatelessSampleDistortedBoundingBox operation.
StatelessSampleDistortedBoundingBoxInst: An instance of ‘StatelessSampleDistortedBoundingBox’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessShuffle: Builder for the StatelessShuffle operation.
StatelessShuffleInst: An instance of ‘StatelessShuffle’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessTruncatedNormal: Builder for the StatelessTruncatedNormal operation.
StatelessTruncatedNormalInst: An instance of ‘StatelessTruncatedNormal’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessTruncatedNormalV2: Builder for the StatelessTruncatedNormalV2 operation.
StatelessTruncatedNormalV2Inst: An instance of ‘StatelessTruncatedNormalV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatelessWhile: Builder for the StatelessWhile operation.
StatelessWhileInst: An instance of ‘StatelessWhile’ Operation with it’s Outputs and Inputs exposed as methods.
StaticRegexFullMatch: Builder for the StaticRegexFullMatch operation.
StaticRegexFullMatchInst: An instance of ‘StaticRegexFullMatch’ Operation with it’s Outputs and Inputs exposed as methods.
StaticRegexReplace: Builder for the StaticRegexReplace operation.
StaticRegexReplaceInst: An instance of ‘StaticRegexReplace’ Operation with it’s Outputs and Inputs exposed as methods.
StatsAggregatorHandle: Builder for the StatsAggregatorHandle operation.
StatsAggregatorHandleInst: An instance of ‘StatsAggregatorHandle’ Operation with it’s Outputs and Inputs exposed as methods.
StatsAggregatorHandleV2: Builder for the StatsAggregatorHandleV2 operation.
StatsAggregatorHandleV2Inst: An instance of ‘StatsAggregatorHandleV2’ Operation with it’s Outputs and Inputs exposed as methods.
StatsAggregatorSetSummaryWriter: Builder for the StatsAggregatorSetSummaryWriter operation.
StatsAggregatorSetSummaryWriterInst: An instance of ‘StatsAggregatorSetSummaryWriter’ Operation with it’s Outputs and Inputs exposed as methods.
StatsAggregatorSummary: Builder for the StatsAggregatorSummary operation.
StatsAggregatorSummaryInst: An instance of ‘StatsAggregatorSummary’ Operation with it’s Outputs and Inputs exposed as methods.
StochasticCastToInt: Builder for the StochasticCastToInt operation.
StochasticCastToIntInst: An instance of ‘StochasticCastToInt’ Operation with it’s Outputs and Inputs exposed as methods.
StopGradient: Builder for the StopGradient operation.
StopGradientInst: An instance of ‘StopGradient’ Operation with it’s Outputs and Inputs exposed as methods.
StridedSlice: Builder for the StridedSlice operation.
StridedSliceAssign: Builder for the StridedSliceAssign operation.
StridedSliceAssignInst: An instance of ‘StridedSliceAssign’ Operation with it’s Outputs and Inputs exposed as methods.
StridedSliceGrad: Builder for the StridedSliceGrad operation.
StridedSliceGradInst: An instance of ‘StridedSliceGrad’ Operation with it’s Outputs and Inputs exposed as methods.
StridedSliceInst: An instance of ‘StridedSlice’ Operation with it’s Outputs and Inputs exposed as methods.
StringFormat: Builder for the StringFormat operation.
StringFormatInst: An instance of ‘StringFormat’ Operation with it’s Outputs and Inputs exposed as methods.
StringJoin: Builder for the StringJoin operation.
StringJoinInst: An instance of ‘StringJoin’ Operation with it’s Outputs and Inputs exposed as methods.
StringLength: Builder for the StringLength operation.
StringLengthInst: An instance of ‘StringLength’ Operation with it’s Outputs and Inputs exposed as methods.
StringLower: Builder for the StringLower operation.
StringLowerInst: An instance of ‘StringLower’ Operation with it’s Outputs and Inputs exposed as methods.
StringNGrams: Builder for the StringNGrams operation.
StringNGramsInst: An instance of ‘StringNGrams’ Operation with it’s Outputs and Inputs exposed as methods.
StringSplit: Builder for the StringSplit operation.
StringSplitInst: An instance of ‘StringSplit’ Operation with it’s Outputs and Inputs exposed as methods.
StringSplitV2: Builder for the StringSplitV2 operation.
StringSplitV2Inst: An instance of ‘StringSplitV2’ Operation with it’s Outputs and Inputs exposed as methods.
StringStrip: Builder for the StringStrip operation.
StringStripInst: An instance of ‘StringStrip’ Operation with it’s Outputs and Inputs exposed as methods.
StringToHashBucket: Builder for the StringToHashBucket operation.
StringToHashBucketFast: Builder for the StringToHashBucketFast operation.
StringToHashBucketFastInst: An instance of ‘StringToHashBucketFast’ Operation with it’s Outputs and Inputs exposed as methods.
StringToHashBucketInst: An instance of ‘StringToHashBucket’ Operation with it’s Outputs and Inputs exposed as methods.
StringToHashBucketStrong: Builder for the StringToHashBucketStrong operation.
StringToHashBucketStrongInst: An instance of ‘StringToHashBucketStrong’ Operation with it’s Outputs and Inputs exposed as methods.
StringToNumber: Builder for the StringToNumber operation.
StringToNumberInst: An instance of ‘StringToNumber’ Operation with it’s Outputs and Inputs exposed as methods.
StringUpper: Builder for the StringUpper operation.
StringUpperInst: An instance of ‘StringUpper’ Operation with it’s Outputs and Inputs exposed as methods.
Sub: Builder for the Sub operation.
SubInst: An instance of ‘Sub’ Operation with it’s Outputs and Inputs exposed as methods.
Substr: Builder for the Substr operation.
SubstrInst: An instance of ‘Substr’ Operation with it’s Outputs and Inputs exposed as methods.
SubtractDeprecated: Builder for the Sub operation.
Sum: Builder for the Sum operation.
SumInst: An instance of ‘Sum’ Operation with it’s Outputs and Inputs exposed as methods.
SummaryWriter: Builder for the SummaryWriter operation.
SummaryWriterInst: An instance of ‘SummaryWriter’ Operation with it’s Outputs and Inputs exposed as methods.
Svd: Builder for the Svd operation.
SvdInst: An instance of ‘Svd’ Operation with it’s Outputs and Inputs exposed as methods.
Switch: Builder for the Switch operation.
SwitchInst: An instance of ‘Switch’ Operation with it’s Outputs and Inputs exposed as methods.
SymbolicGradient: Builder for the SymbolicGradient operation.
SymbolicGradientInst: An instance of ‘SymbolicGradient’ Operation with it’s Outputs and Inputs exposed as methods.
SyncDevice: Builder for the SyncDevice operation.
SyncDeviceInst: An instance of ‘SyncDevice’ Operation with it’s Outputs and Inputs exposed as methods.
TFRecordDataset: Builder for the TFRecordDataset operation.
TFRecordDatasetInst: An instance of ‘TFRecordDataset’ Operation with it’s Outputs and Inputs exposed as methods.
TFRecordReader: Builder for the TFRecordReader operation.
TFRecordReaderInst: An instance of ‘TFRecordReader’ Operation with it’s Outputs and Inputs exposed as methods.
TFRecordReaderV2: Builder for the TFRecordReaderV2 operation.
TFRecordReaderV2Inst: An instance of ‘TFRecordReaderV2’ Operation with it’s Outputs and Inputs exposed as methods.
TPUCompilationResult: Builder for the TPUCompilationResult operation.
TPUCompilationResultInst: An instance of ‘TPUCompilationResult’ Operation with it’s Outputs and Inputs exposed as methods.
TPUCompile: Builder for the TPUCompile operation.
TPUCompileInst: An instance of ‘TPUCompile’ Operation with it’s Outputs and Inputs exposed as methods.
TPUCompileSucceededAssert: Builder for the TPUCompileSucceededAssert operation.
TPUCompileSucceededAssertInst: An instance of ‘TPUCompileSucceededAssert’ Operation with it’s Outputs and Inputs exposed as methods.
TPUEmbeddingActivations: Builder for the TPUEmbeddingActivations operation.
TPUEmbeddingActivationsInst: An instance of ‘TPUEmbeddingActivations’ Operation with it’s Outputs and Inputs exposed as methods.
TPUExecute: Builder for the TPUExecute operation.
TPUExecuteAndUpdateVariables: Builder for the TPUExecuteAndUpdateVariables operation.
TPUExecuteAndUpdateVariablesInst: An instance of ‘TPUExecuteAndUpdateVariables’ Operation with it’s Outputs and Inputs exposed as methods.
TPUExecuteInst: An instance of ‘TPUExecute’ Operation with it’s Outputs and Inputs exposed as methods.
TPUOrdinalSelector: Builder for the TPUOrdinalSelector operation.
TPUOrdinalSelectorInst: An instance of ‘TPUOrdinalSelector’ Operation with it’s Outputs and Inputs exposed as methods.
TPUPartitionedCall: Builder for the TPUPartitionedCall operation.
TPUPartitionedCallInst: An instance of ‘TPUPartitionedCall’ Operation with it’s Outputs and Inputs exposed as methods.
TPUPartitionedInput: Builder for the TPUPartitionedInput operation.
TPUPartitionedInputInst: An instance of ‘TPUPartitionedInput’ Operation with it’s Outputs and Inputs exposed as methods.
TPUPartitionedInputV2: Builder for the TPUPartitionedInputV2 operation.
TPUPartitionedInputV2Inst: An instance of ‘TPUPartitionedInputV2’ Operation with it’s Outputs and Inputs exposed as methods.
TPUPartitionedOutput: Builder for the TPUPartitionedOutput operation.
TPUPartitionedOutputInst: An instance of ‘TPUPartitionedOutput’ Operation with it’s Outputs and Inputs exposed as methods.
TPUPartitionedOutputV2: Builder for the TPUPartitionedOutputV2 operation.
TPUPartitionedOutputV2Inst: An instance of ‘TPUPartitionedOutputV2’ Operation with it’s Outputs and Inputs exposed as methods.
TPUReplicateMetadata: Builder for the TPUReplicateMetadata operation.
TPUReplicateMetadataInst: An instance of ‘TPUReplicateMetadata’ Operation with it’s Outputs and Inputs exposed as methods.
TPUReplicatedInput: Builder for the TPUReplicatedInput operation.
TPUReplicatedInputInst: An instance of ‘TPUReplicatedInput’ Operation with it’s Outputs and Inputs exposed as methods.
TPUReplicatedOutput: Builder for the TPUReplicatedOutput operation.
TPUReplicatedOutputInst: An instance of ‘TPUReplicatedOutput’ Operation with it’s Outputs and Inputs exposed as methods.
TPUReshardVariables: Builder for the TPUReshardVariables operation.
TPUReshardVariablesInst: An instance of ‘TPUReshardVariables’ Operation with it’s Outputs and Inputs exposed as methods.
TPURoundRobin: Builder for the TPURoundRobin operation.
TPURoundRobinInst: An instance of ‘TPURoundRobin’ Operation with it’s Outputs and Inputs exposed as methods.
TakeDataset: Builder for the TakeDataset operation.
TakeDatasetInst: An instance of ‘TakeDataset’ Operation with it’s Outputs and Inputs exposed as methods.
TakeManySparseFromTensorsMap: Builder for the TakeManySparseFromTensorsMap operation.
TakeManySparseFromTensorsMapInst: An instance of ‘TakeManySparseFromTensorsMap’ Operation with it’s Outputs and Inputs exposed as methods.
TakeWhileDataset: Builder for the TakeWhileDataset operation.
TakeWhileDatasetInst: An instance of ‘TakeWhileDataset’ Operation with it’s Outputs and Inputs exposed as methods.
Tan: Builder for the Tan operation.
TanInst: An instance of ‘Tan’ Operation with it’s Outputs and Inputs exposed as methods.
Tanh: Builder for the Tanh operation.
TanhGrad: Builder for the TanhGrad operation.
TanhGradInst: An instance of ‘TanhGrad’ Operation with it’s Outputs and Inputs exposed as methods.
TanhInst: An instance of ‘Tanh’ Operation with it’s Outputs and Inputs exposed as methods.
TemporaryVariable: Builder for the TemporaryVariable operation.
TemporaryVariableInst: An instance of ‘TemporaryVariable’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArray: Builder for the TensorArray operation.
TensorArrayClose: Builder for the TensorArrayClose operation.
TensorArrayCloseInst: An instance of ‘TensorArrayClose’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayCloseV2: Builder for the TensorArrayCloseV2 operation.
TensorArrayCloseV3: Builder for the TensorArrayCloseV3 operation.
TensorArrayCloseV2Inst: An instance of ‘TensorArrayCloseV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayCloseV3Inst: An instance of ‘TensorArrayCloseV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayConcat: Builder for the TensorArrayConcat operation.
TensorArrayConcatInst: An instance of ‘TensorArrayConcat’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayConcatV2: Builder for the TensorArrayConcatV2 operation.
TensorArrayConcatV3: Builder for the TensorArrayConcatV3 operation.
TensorArrayConcatV2Inst: An instance of ‘TensorArrayConcatV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayConcatV3Inst: An instance of ‘TensorArrayConcatV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGather: Builder for the TensorArrayGather operation.
TensorArrayGatherInst: An instance of ‘TensorArrayGather’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGatherV2: Builder for the TensorArrayGatherV2 operation.
TensorArrayGatherV3: Builder for the TensorArrayGatherV3 operation.
TensorArrayGatherV2Inst: An instance of ‘TensorArrayGatherV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGatherV3Inst: An instance of ‘TensorArrayGatherV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGrad: Builder for the TensorArrayGrad operation.
TensorArrayGradInst: An instance of ‘TensorArrayGrad’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGradV2: Builder for the TensorArrayGradV2 operation.
TensorArrayGradV3: Builder for the TensorArrayGradV3 operation.
TensorArrayGradV2Inst: An instance of ‘TensorArrayGradV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGradV3Inst: An instance of ‘TensorArrayGradV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayGradWithShape: Builder for the TensorArrayGradWithShape operation.
TensorArrayGradWithShapeInst: An instance of ‘TensorArrayGradWithShape’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayInst: An instance of ‘TensorArray’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayPack: Builder for the TensorArrayPack operation.
TensorArrayPackInst: An instance of ‘TensorArrayPack’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayRead: Builder for the TensorArrayRead operation.
TensorArrayReadInst: An instance of ‘TensorArrayRead’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayReadV2: Builder for the TensorArrayReadV2 operation.
TensorArrayReadV3: Builder for the TensorArrayReadV3 operation.
TensorArrayReadV2Inst: An instance of ‘TensorArrayReadV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayReadV3Inst: An instance of ‘TensorArrayReadV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayScatter: Builder for the TensorArrayScatter operation.
TensorArrayScatterInst: An instance of ‘TensorArrayScatter’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayScatterV2: Builder for the TensorArrayScatterV2 operation.
TensorArrayScatterV3: Builder for the TensorArrayScatterV3 operation.
TensorArrayScatterV2Inst: An instance of ‘TensorArrayScatterV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayScatterV3Inst: An instance of ‘TensorArrayScatterV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySize: Builder for the TensorArraySize operation.
TensorArraySizeInst: An instance of ‘TensorArraySize’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySizeV2: Builder for the TensorArraySizeV2 operation.
TensorArraySizeV3: Builder for the TensorArraySizeV3 operation.
TensorArraySizeV2Inst: An instance of ‘TensorArraySizeV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySizeV3Inst: An instance of ‘TensorArraySizeV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySplit: Builder for the TensorArraySplit operation.
TensorArraySplitInst: An instance of ‘TensorArraySplit’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySplitV2: Builder for the TensorArraySplitV2 operation.
TensorArraySplitV3: Builder for the TensorArraySplitV3 operation.
TensorArraySplitV2Inst: An instance of ‘TensorArraySplitV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArraySplitV3Inst: An instance of ‘TensorArraySplitV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayUnpack: Builder for the TensorArrayUnpack operation.
TensorArrayUnpackInst: An instance of ‘TensorArrayUnpack’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayV2: Builder for the TensorArrayV2 operation.
TensorArrayV3: Builder for the TensorArrayV3 operation.
TensorArrayV2Inst: An instance of ‘TensorArrayV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayV3Inst: An instance of ‘TensorArrayV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayWrite: Builder for the TensorArrayWrite operation.
TensorArrayWriteInst: An instance of ‘TensorArrayWrite’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayWriteV2: Builder for the TensorArrayWriteV2 operation.
TensorArrayWriteV3: Builder for the TensorArrayWriteV3 operation.
TensorArrayWriteV2Inst: An instance of ‘TensorArrayWriteV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorArrayWriteV3Inst: An instance of ‘TensorArrayWriteV3’ Operation with it’s Outputs and Inputs exposed as methods.
TensorDataset: Builder for the TensorDataset operation.
TensorDatasetInst: An instance of ‘TensorDataset’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListConcat: Builder for the TensorListConcat operation.
TensorListConcatInst: An instance of ‘TensorListConcat’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListConcatLists: Builder for the TensorListConcatLists operation.
TensorListConcatListsInst: An instance of ‘TensorListConcatLists’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListConcatV2: Builder for the TensorListConcatV2 operation.
TensorListConcatV2Inst: An instance of ‘TensorListConcatV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListElementShape: Builder for the TensorListElementShape operation.
TensorListElementShapeInst: An instance of ‘TensorListElementShape’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListFromTensor: Builder for the TensorListFromTensor operation.
TensorListFromTensorInst: An instance of ‘TensorListFromTensor’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListGather: Builder for the TensorListGather operation.
TensorListGatherInst: An instance of ‘TensorListGather’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListGetItem: Builder for the TensorListGetItem operation.
TensorListGetItemInst: An instance of ‘TensorListGetItem’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListLength: Builder for the TensorListLength operation.
TensorListLengthInst: An instance of ‘TensorListLength’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListPopBack: Builder for the TensorListPopBack operation.
TensorListPopBackInst: An instance of ‘TensorListPopBack’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListPushBack: Builder for the TensorListPushBack operation.
TensorListPushBackBatch: Builder for the TensorListPushBackBatch operation.
TensorListPushBackBatchInst: An instance of ‘TensorListPushBackBatch’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListPushBackInst: An instance of ‘TensorListPushBack’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListReserve: Builder for the TensorListReserve operation.
TensorListReserveInst: An instance of ‘TensorListReserve’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListResize: Builder for the TensorListResize operation.
TensorListResizeInst: An instance of ‘TensorListResize’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListScatter: Builder for the TensorListScatter operation.
TensorListScatterInst: An instance of ‘TensorListScatter’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListScatterIntoExistingList: Builder for the TensorListScatterIntoExistingList operation.
TensorListScatterIntoExistingListInst: An instance of ‘TensorListScatterIntoExistingList’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListScatterV2: Builder for the TensorListScatterV2 operation.
TensorListScatterV2Inst: An instance of ‘TensorListScatterV2’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListSetItem: Builder for the TensorListSetItem operation.
TensorListSetItemInst: An instance of ‘TensorListSetItem’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListSplit: Builder for the TensorListSplit operation.
TensorListSplitInst: An instance of ‘TensorListSplit’ Operation with it’s Outputs and Inputs exposed as methods.
TensorListStack: Builder for the TensorListStack operation.
TensorListStackInst: An instance of ‘TensorListStack’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapErase: Builder for the TensorMapErase operation.
TensorMapEraseInst: An instance of ‘TensorMapErase’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapHasKey: Builder for the TensorMapHasKey operation.
TensorMapHasKeyInst: An instance of ‘TensorMapHasKey’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapInsert: Builder for the TensorMapInsert operation.
TensorMapInsertInst: An instance of ‘TensorMapInsert’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapLookup: Builder for the TensorMapLookup operation.
TensorMapLookupInst: An instance of ‘TensorMapLookup’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapSize: Builder for the TensorMapSize operation.
TensorMapSizeInst: An instance of ‘TensorMapSize’ Operation with it’s Outputs and Inputs exposed as methods.
TensorMapStackKeys: Builder for the TensorMapStackKeys operation.
TensorMapStackKeysInst: An instance of ‘TensorMapStackKeys’ Operation with it’s Outputs and Inputs exposed as methods.
TensorScatterAdd: Builder for the TensorScatterAdd operation.
TensorScatterAddInst: An instance of ‘TensorScatterAdd’ Operation with it’s Outputs and Inputs exposed as methods.
TensorScatterMax: Builder for the TensorScatterMax operation.
TensorScatterMaxInst: An instance of ‘TensorScatterMax’ Operation with it’s Outputs and Inputs exposed as methods.
TensorScatterMin: Builder for the TensorScatterMin operation.
TensorScatterMinInst: An instance of ‘TensorScatterMin’ Operation with it’s Outputs and Inputs exposed as methods.
TensorScatterSub: Builder for the TensorScatterSub operation.
TensorScatterSubInst: An instance of ‘TensorScatterSub’ Operation with it’s Outputs and Inputs exposed as methods.
TensorScatterUpdate: Builder for the TensorScatterUpdate operation.
TensorScatterUpdateInst: An instance of ‘TensorScatterUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
TensorSliceDataset: Builder for the TensorSliceDataset operation.
TensorSliceDatasetInst: An instance of ‘TensorSliceDataset’ Operation with it’s Outputs and Inputs exposed as methods.
TensorStridedSliceUpdate: Builder for the TensorStridedSliceUpdate operation.
TensorStridedSliceUpdateInst: An instance of ‘TensorStridedSliceUpdate’ Operation with it’s Outputs and Inputs exposed as methods.
TensorSummary: Builder for the TensorSummary operation.
TensorSummaryInst: An instance of ‘TensorSummary’ Operation with it’s Outputs and Inputs exposed as methods.
TensorSummaryV2: Builder for the TensorSummaryV2 operation.
TensorSummaryV2Inst: An instance of ‘TensorSummaryV2’ Operation with it’s Outputs and Inputs exposed as methods.
TextLineDataset: Builder for the TextLineDataset operation.
TextLineDatasetInst: An instance of ‘TextLineDataset’ Operation with it’s Outputs and Inputs exposed as methods.
TextLineReader: Builder for the TextLineReader operation.
TextLineReaderInst: An instance of ‘TextLineReader’ Operation with it’s Outputs and Inputs exposed as methods.
TextLineReaderV2: Builder for the TextLineReaderV2 operation.
TextLineReaderV2Inst: An instance of ‘TextLineReaderV2’ Operation with it’s Outputs and Inputs exposed as methods.
ThreadPoolDataset: Builder for the ThreadPoolDataset operation.
ThreadPoolDatasetInst: An instance of ‘ThreadPoolDataset’ Operation with it’s Outputs and Inputs exposed as methods.
ThreadPoolHandle: Builder for the ThreadPoolHandle operation.
ThreadPoolHandleInst: An instance of ‘ThreadPoolHandle’ Operation with it’s Outputs and Inputs exposed as methods.
ThreadUnsafeUnigramCandidateSampler: Builder for the ThreadUnsafeUnigramCandidateSampler operation.
ThreadUnsafeUnigramCandidateSamplerInst: An instance of ‘ThreadUnsafeUnigramCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
Tile: Builder for the Tile operation.
TileGrad: Builder for the TileGrad operation.
TileGradInst: An instance of ‘TileGrad’ Operation with it’s Outputs and Inputs exposed as methods.
TileInst: An instance of ‘Tile’ Operation with it’s Outputs and Inputs exposed as methods.
Timestamp: Builder for the Timestamp operation.
TimestampInst: An instance of ‘Timestamp’ Operation with it’s Outputs and Inputs exposed as methods.
ToBool: Builder for the ToBool operation.
ToBoolInst: An instance of ‘ToBool’ Operation with it’s Outputs and Inputs exposed as methods.
TopK: Builder for the TopK operation.
TopKInst: An instance of ‘TopK’ Operation with it’s Outputs and Inputs exposed as methods.
TopKUnique: Builder for the TopKUnique operation.
TopKUniqueInst: An instance of ‘TopKUnique’ Operation with it’s Outputs and Inputs exposed as methods.
TopKV2: Builder for the TopKV2 operation.
TopKV2Inst: An instance of ‘TopKV2’ Operation with it’s Outputs and Inputs exposed as methods.
TopKWithUnique: Builder for the TopKWithUnique operation.
TopKWithUniqueInst: An instance of ‘TopKWithUnique’ Operation with it’s Outputs and Inputs exposed as methods.
TpuHandleToProtoKey: Builder for the TpuHandleToProtoKey operation.
TpuHandleToProtoKeyInst: An instance of ‘TpuHandleToProtoKey’ Operation with it’s Outputs and Inputs exposed as methods.
Transpose: Builder for the Transpose operation.
TransposeInst: An instance of ‘Transpose’ Operation with it’s Outputs and Inputs exposed as methods.
TridiagonalMatMul: Builder for the TridiagonalMatMul operation.
TridiagonalMatMulInst: An instance of ‘TridiagonalMatMul’ Operation with it’s Outputs and Inputs exposed as methods.
TridiagonalSolve: Builder for the TridiagonalSolve operation.
TridiagonalSolveInst: An instance of ‘TridiagonalSolve’ Operation with it’s Outputs and Inputs exposed as methods.
TruncateDiv: Builder for the TruncateDiv operation.
TruncateDivInst: An instance of ‘TruncateDiv’ Operation with it’s Outputs and Inputs exposed as methods.
TruncateMod: Builder for the TruncateMod operation.
TruncateModInst: An instance of ‘TruncateMod’ Operation with it’s Outputs and Inputs exposed as methods.
TruncatedNormal: Builder for the TruncatedNormal operation.
TruncatedNormalInst: An instance of ‘TruncatedNormal’ Operation with it’s Outputs and Inputs exposed as methods.
Unbatch: Builder for the Unbatch operation.
UnbatchDataset: Builder for the UnbatchDataset operation.
UnbatchDatasetInst: An instance of ‘UnbatchDataset’ Operation with it’s Outputs and Inputs exposed as methods.
UnbatchGrad: Builder for the UnbatchGrad operation.
UnbatchGradInst: An instance of ‘UnbatchGrad’ Operation with it’s Outputs and Inputs exposed as methods.
UnbatchInst: An instance of ‘Unbatch’ Operation with it’s Outputs and Inputs exposed as methods.
UncompressElement: Builder for the UncompressElement operation.
UncompressElementInst: An instance of ‘UncompressElement’ Operation with it’s Outputs and Inputs exposed as methods.
UnicodeDecode: Builder for the UnicodeDecode operation.
UnicodeDecodeInst: An instance of ‘UnicodeDecode’ Operation with it’s Outputs and Inputs exposed as methods.
UnicodeDecodeWithOffsets: Builder for the UnicodeDecodeWithOffsets operation.
UnicodeDecodeWithOffsetsInst: An instance of ‘UnicodeDecodeWithOffsets’ Operation with it’s Outputs and Inputs exposed as methods.
UnicodeEncode: Builder for the UnicodeEncode operation.
UnicodeEncodeInst: An instance of ‘UnicodeEncode’ Operation with it’s Outputs and Inputs exposed as methods.
UnicodeScript: Builder for the UnicodeScript operation.
UnicodeScriptInst: An instance of ‘UnicodeScript’ Operation with it’s Outputs and Inputs exposed as methods.
UnicodeTranscode: Builder for the UnicodeTranscode operation.
UnicodeTranscodeInst: An instance of ‘UnicodeTranscode’ Operation with it’s Outputs and Inputs exposed as methods.
UniformCandidateSampler: Builder for the UniformCandidateSampler operation.
UniformCandidateSamplerInst: An instance of ‘UniformCandidateSampler’ Operation with it’s Outputs and Inputs exposed as methods.
UniformDequantize: Builder for the UniformDequantize operation.
UniformDequantizeInst: An instance of ‘UniformDequantize’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantize: Builder for the UniformQuantize operation.
UniformQuantizeInst: An instance of ‘UniformQuantize’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedAdd: Builder for the UniformQuantizedAdd operation.
UniformQuantizedAddInst: An instance of ‘UniformQuantizedAdd’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedClipByValue: Builder for the UniformQuantizedClipByValue operation.
UniformQuantizedClipByValueInst: An instance of ‘UniformQuantizedClipByValue’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedConvolution: Builder for the UniformQuantizedConvolution operation.
UniformQuantizedConvolutionHybrid: Builder for the UniformQuantizedConvolutionHybrid operation.
UniformQuantizedConvolutionHybridInst: An instance of ‘UniformQuantizedConvolutionHybrid’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedConvolutionInst: An instance of ‘UniformQuantizedConvolution’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedDot: Builder for the UniformQuantizedDot operation.
UniformQuantizedDotHybrid: Builder for the UniformQuantizedDotHybrid operation.
UniformQuantizedDotHybridInst: An instance of ‘UniformQuantizedDotHybrid’ Operation with it’s Outputs and Inputs exposed as methods.
UniformQuantizedDotInst: An instance of ‘UniformQuantizedDot’ Operation with it’s Outputs and Inputs exposed as methods.
UniformRequantize: Builder for the UniformRequantize operation.
UniformRequantizeInst: An instance of ‘UniformRequantize’ Operation with it’s Outputs and Inputs exposed as methods.
Unique: Builder for the Unique operation.
UniqueDataset: Builder for the UniqueDataset operation.
UniqueDatasetInst: An instance of ‘UniqueDataset’ Operation with it’s Outputs and Inputs exposed as methods.
UniqueInst: An instance of ‘Unique’ Operation with it’s Outputs and Inputs exposed as methods.
UniqueV2: Builder for the UniqueV2 operation.
UniqueV2Inst: An instance of ‘UniqueV2’ Operation with it’s Outputs and Inputs exposed as methods.
UniqueWithCounts: Builder for the UniqueWithCounts operation.
UniqueWithCountsInst: An instance of ‘UniqueWithCounts’ Operation with it’s Outputs and Inputs exposed as methods.
UniqueWithCountsV2: Builder for the UniqueWithCountsV2 operation.
UniqueWithCountsV2Inst: An instance of ‘UniqueWithCountsV2’ Operation with it’s Outputs and Inputs exposed as methods.
Unpack: Builder for the Unpack operation.
UnpackInst: An instance of ‘Unpack’ Operation with it’s Outputs and Inputs exposed as methods.
UnravelIndex: Builder for the UnravelIndex operation.
UnravelIndexInst: An instance of ‘UnravelIndex’ Operation with it’s Outputs and Inputs exposed as methods.
UnsortedSegmentJoin: Builder for the UnsortedSegmentJoin operation.
UnsortedSegmentJoinInst: An instance of ‘UnsortedSegmentJoin’ Operation with it’s Outputs and Inputs exposed as methods.
UnsortedSegmentMax: Builder for the UnsortedSegmentMax operation.
UnsortedSegmentMaxInst: An instance of ‘UnsortedSegmentMax’ Operation with it’s Outputs and Inputs exposed as methods.
UnsortedSegmentMin: Builder for the UnsortedSegmentMin operation.
UnsortedSegmentMinInst: An instance of ‘UnsortedSegmentMin’ Operation with it’s Outputs and Inputs exposed as methods.
UnsortedSegmentProd: Builder for the UnsortedSegmentProd operation.
UnsortedSegmentProdInst: An instance of ‘UnsortedSegmentProd’ Operation with it’s Outputs and Inputs exposed as methods.
UnsortedSegmentSum: Builder for the UnsortedSegmentSum operation.
UnsortedSegmentSumInst: An instance of ‘UnsortedSegmentSum’ Operation with it’s Outputs and Inputs exposed as methods.
Unstage: Builder for the Unstage operation.
UnstageInst: An instance of ‘Unstage’ Operation with it’s Outputs and Inputs exposed as methods.
UnwrapDatasetVariant: Builder for the UnwrapDatasetVariant operation.
UnwrapDatasetVariantInst: An instance of ‘UnwrapDatasetVariant’ Operation with it’s Outputs and Inputs exposed as methods.
UpperBound: Builder for the UpperBound operation.
UpperBoundInst: An instance of ‘UpperBound’ Operation with it’s Outputs and Inputs exposed as methods.
VarHandleOp: Builder for the VarHandleOp operation.
VarHandleOpInst: An instance of ‘VarHandleOp’ Operation with it’s Outputs and Inputs exposed as methods.
VarIsInitializedOp: Builder for the VarIsInitializedOp operation.
VarIsInitializedOpInst: An instance of ‘VarIsInitializedOp’ Operation with it’s Outputs and Inputs exposed as methods.
Variable: Builder for the Variable operation.
VariableInst: An instance of ‘Variable’ Operation with it’s Outputs and Inputs exposed as methods.
VariableShape: Builder for the VariableShape operation.
VariableShapeInst: An instance of ‘VariableShape’ Operation with it’s Outputs and Inputs exposed as methods.
VariableV2: Builder for the VariableV2 operation.
VariableV2Inst: An instance of ‘VariableV2’ Operation with it’s Outputs and Inputs exposed as methods.
Where: Builder for the Where operation.
WhereInst: An instance of ‘Where’ Operation with it’s Outputs and Inputs exposed as methods.
While: Builder for the While operation.
WhileInst: An instance of ‘While’ Operation with it’s Outputs and Inputs exposed as methods.
WholeFileReader: Builder for the WholeFileReader operation.
WholeFileReaderInst: An instance of ‘WholeFileReader’ Operation with it’s Outputs and Inputs exposed as methods.
WholeFileReaderV2: Builder for the WholeFileReaderV2 operation.
WholeFileReaderV2Inst: An instance of ‘WholeFileReaderV2’ Operation with it’s Outputs and Inputs exposed as methods.
WindowDataset: Builder for the WindowDataset operation.
WindowDatasetInst: An instance of ‘WindowDataset’ Operation with it’s Outputs and Inputs exposed as methods.
WindowOp: Builder for the WindowOp operation.
WindowOpInst: An instance of ‘WindowOp’ Operation with it’s Outputs and Inputs exposed as methods.
WorkerHeartbeat: Builder for the WorkerHeartbeat operation.
WorkerHeartbeatInst: An instance of ‘WorkerHeartbeat’ Operation with it’s Outputs and Inputs exposed as methods.
WrapDatasetVariant: Builder for the WrapDatasetVariant operation.
WrapDatasetVariantInst: An instance of ‘WrapDatasetVariant’ Operation with it’s Outputs and Inputs exposed as methods.
WriteAudioSummary: Builder for the WriteAudioSummary operation.
WriteAudioSummaryInst: An instance of ‘WriteAudioSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteFile: Builder for the WriteFile operation.
WriteFileInst: An instance of ‘WriteFile’ Operation with it’s Outputs and Inputs exposed as methods.
WriteGraphSummary: Builder for the WriteGraphSummary operation.
WriteGraphSummaryInst: An instance of ‘WriteGraphSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteHistogramSummary: Builder for the WriteHistogramSummary operation.
WriteHistogramSummaryInst: An instance of ‘WriteHistogramSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteImageSummary: Builder for the WriteImageSummary operation.
WriteImageSummaryInst: An instance of ‘WriteImageSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteRawProtoSummary: Builder for the WriteRawProtoSummary operation.
WriteRawProtoSummaryInst: An instance of ‘WriteRawProtoSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteScalarSummary: Builder for the WriteScalarSummary operation.
WriteScalarSummaryInst: An instance of ‘WriteScalarSummary’ Operation with it’s Outputs and Inputs exposed as methods.
WriteSummary: Builder for the WriteSummary operation.
WriteSummaryInst: An instance of ‘WriteSummary’ Operation with it’s Outputs and Inputs exposed as methods.
Xdivy: Builder for the Xdivy operation.
XdivyInst: An instance of ‘Xdivy’ Operation with it’s Outputs and Inputs exposed as methods.
XlaConcatND: Builder for the XlaConcatND operation.
XlaConcatNDInst: An instance of ‘XlaConcatND’ Operation with it’s Outputs and Inputs exposed as methods.
XlaHostCompute: Builder for the XlaHostCompute operation.
XlaHostComputeInst: An instance of ‘XlaHostCompute’ Operation with it’s Outputs and Inputs exposed as methods.
XlaRecvFromHost: Builder for the XlaRecvFromHost operation.
XlaRecvFromHostInst: An instance of ‘XlaRecvFromHost’ Operation with it’s Outputs and Inputs exposed as methods.
XlaRecvTPUEmbeddingActivations: Builder for the XlaRecvTPUEmbeddingActivations operation.
XlaRecvTPUEmbeddingActivationsInst: An instance of ‘XlaRecvTPUEmbeddingActivations’ Operation with it’s Outputs and Inputs exposed as methods.
XlaRecvTPUEmbeddingDeduplicationData: Builder for the XlaRecvTPUEmbeddingDeduplicationData operation.
XlaRecvTPUEmbeddingDeduplicationDataInst: An instance of ‘XlaRecvTPUEmbeddingDeduplicationData’ Operation with it’s Outputs and Inputs exposed as methods.
XlaSendTPUEmbeddingGradients: Builder for the XlaSendTPUEmbeddingGradients operation.
XlaSendTPUEmbeddingGradientsInst: An instance of ‘XlaSendTPUEmbeddingGradients’ Operation with it’s Outputs and Inputs exposed as methods.
XlaSendToHost: Builder for the XlaSendToHost operation.
XlaSendToHostInst: An instance of ‘XlaSendToHost’ Operation with it’s Outputs and Inputs exposed as methods.
XlaSplitND: Builder for the XlaSplitND operation.
XlaSplitNDInst: An instance of ‘XlaSplitND’ Operation with it’s Outputs and Inputs exposed as methods.
Xlog1py: Builder for the Xlog1py operation.
Xlog1pyInst: An instance of ‘Xlog1py’ Operation with it’s Outputs and Inputs exposed as methods.
Xlogy: Builder for the Xlogy operation.
XlogyInst: An instance of ‘Xlogy’ Operation with it’s Outputs and Inputs exposed as methods.
ZerosLike: Builder for the ZerosLike operation.
ZerosLikeInst: An instance of ‘ZerosLike’ Operation with it’s Outputs and Inputs exposed as methods.
Zeta: Builder for the Zeta operation.
ZetaInst: An instance of ‘Zeta’ Operation with it’s Outputs and Inputs exposed as methods.
ZipDataset: Builder for the ZipDataset operation.
ZipDatasetInst: An instance of ‘ZipDataset’ Operation with it’s Outputs and Inputs exposed as methods.

Functions§

abort: Shorthand for Abort::new().build(scope).
abs: Shorthand for Abs::new().build(x, scope).
accumulate_nv2: Shorthand for AccumulateNV2::new().build(inputs, scope).
accumulator_apply_gradient: Shorthand for AccumulatorApplyGradient::new().build(handle, local_step, gradient, scope).
accumulator_num_accumulated: Shorthand for AccumulatorNumAccumulated::new().build(handle, scope).
accumulator_set_global_step: Shorthand for AccumulatorSetGlobalStep::new().build(handle, new_global_step, scope).
accumulator_take_gradient: Shorthand for AccumulatorTakeGradient::new().build(handle, num_required, scope).
acos: Shorthand for Acos::new().build(x, scope).
acosh: Shorthand for Acosh::new().build(x, scope).
add: Shorthand for Add::new().build(x, y, scope).
add_many_sparse_to_tensors_map: Shorthand for AddManySparseToTensorsMap::new().build(sparse_indices, sparse_values, sparse_shape, scope).
add_n: Shorthand for AddN::new().build(inputs, scope).
add_sparse_to_tensors_map: Shorthand for AddSparseToTensorsMap::new().build(sparse_indices, sparse_values, sparse_shape, scope).
add_v2: Shorthand for AddV2::new().build(x, y, scope).
adjust_contrast: Shorthand for AdjustContrast::new().build(images, contrast_factor, min_value, max_value, scope).
adjust_contrastv2: Shorthand for AdjustContrastv2::new().build(images, contrast_factor, scope).
adjust_hue: Shorthand for AdjustHue::new().build(images, delta, scope).
adjust_saturation: Shorthand for AdjustSaturation::new().build(images, scale, scope).
all: Shorthand for All::new().build(input, reduction_indices, scope).
all_candidate_sampler: Shorthand for AllCandidateSampler::new().build(true_classes, scope).
all_to_all: Shorthand for AllToAll::new().build(input, group_assignment, scope).
angle: Shorthand for Angle::new().build(input, scope).
anonymous_hash_table: Shorthand for AnonymousHashTable::new().build(scope).
anonymous_iterator: Shorthand for AnonymousIterator::new().build(scope).
anonymous_iterator_v2: Shorthand for AnonymousIteratorV2::new().build(scope).
anonymous_iterator_v3: Shorthand for AnonymousIteratorV3::new().build(scope).
anonymous_memory_cache: Shorthand for AnonymousMemoryCache::new().build(scope).
anonymous_multi_device_iterator: Shorthand for AnonymousMultiDeviceIterator::new().build(scope).
anonymous_multi_device_iterator_v3: Shorthand for AnonymousMultiDeviceIteratorV3::new().build(scope).
anonymous_mutable_dense_hash_table: Shorthand for AnonymousMutableDenseHashTable::new().build(empty_key, deleted_key, scope).
anonymous_mutable_hash_table: Shorthand for AnonymousMutableHashTable::new().build(scope).
anonymous_mutable_hash_table_of_tensors: Shorthand for AnonymousMutableHashTableOfTensors::new().build(scope).
anonymous_random_seed_generator: Shorthand for AnonymousRandomSeedGenerator::new().build(seed, seed2, scope).
anonymous_seed_generator: Shorthand for AnonymousSeedGenerator::new().build(seed, seed2, reshuffle, scope).
any: Shorthand for Any::new().build(input, reduction_indices, scope).
apply_ada_max: Shorthand for ApplyAdaMax::new().build(var, m, v, beta1_power, lr, beta1, beta2, epsilon, grad, scope).
apply_adadelta: Shorthand for ApplyAdadelta::new().build(var, accum, accum_update, lr, rho, epsilon, grad, scope).
apply_adagrad: Shorthand for ApplyAdagrad::new().build(var, accum, lr, grad, scope).
apply_adagrad_da: Shorthand for ApplyAdagradDA::new().build(var, gradient_accumulator, gradient_squared_accumulator, grad, lr, l1, l2, global_step, scope).
apply_adagrad_v2: Shorthand for ApplyAdagradV2::new().build(var, accum, lr, epsilon, grad, scope).
apply_adam: Shorthand for ApplyAdam::new().build(var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad, scope).
apply_add_sign: Shorthand for ApplyAddSign::new().build(var, m, lr, alpha, sign_decay, beta, grad, scope).
apply_centered_rmsprop: Shorthand for ApplyCenteredRMSProp::new().build(var, mg, ms, mom, lr, rho, momentum, epsilon, grad, scope).
apply_ftrl: Shorthand for ApplyFtrl::new().build(var, accum, linear, grad, lr, l1, l2, lr_power, scope).
apply_ftrl_v2: Shorthand for ApplyFtrlV2::new().build(var, accum, linear, grad, lr, l1, l2, l2_shrinkage, lr_power, scope).
apply_gradient_descent: Shorthand for ApplyGradientDescent::new().build(var, alpha, delta, scope).
apply_momentum: Shorthand for ApplyMomentum::new().build(var, accum, lr, grad, momentum, scope).
apply_power_sign: Shorthand for ApplyPowerSign::new().build(var, m, lr, logbase, sign_decay, beta, grad, scope).
apply_proximal_adagrad: Shorthand for ApplyProximalAdagrad::new().build(var, accum, lr, l1, l2, grad, scope).
apply_proximal_gradient_descent: Shorthand for ApplyProximalGradientDescent::new().build(var, alpha, l1, l2, delta, scope).
apply_rmsprop: Shorthand for ApplyRMSProp::new().build(var, ms, mom, lr, rho, momentum, epsilon, grad, scope).
approx_top_k: Shorthand for ApproxTopK::new().build(input, scope).
approximate_equal: Shorthand for ApproximateEqual::new().build(x, y, scope).
arg_max: Shorthand for ArgMax::new().build(input, dimension, scope).
arg_min: Shorthand for ArgMin::new().build(input, dimension, scope).
as_string: Shorthand for AsString::new().build(input, scope).
asin: Shorthand for Asin::new().build(x, scope).
asinh: Shorthand for Asinh::new().build(x, scope).
assert: Shorthand for Assert::new().build(condition, data, scope).
assert_cardinality_dataset: Shorthand for AssertCardinalityDataset::new().build(input_dataset, cardinality, scope).
assert_next_dataset: Shorthand for AssertNextDataset::new().build(input_dataset, transformations, scope).
assert_prev_dataset: Shorthand for AssertPrevDataset::new().build(input_dataset, transformations, scope).
assign: Shorthand for Assign::new().build(ref_, value, scope).
assign_add: Shorthand for AssignAdd::new().build(ref_, value, scope).
assign_add_variable_op: Shorthand for AssignAddVariableOp::new().build(resource, value, scope).
assign_sub: Shorthand for AssignSub::new().build(ref_, value, scope).
assign_sub_variable_op: Shorthand for AssignSubVariableOp::new().build(resource, value, scope).
assign_variable_op: Shorthand for AssignVariableOp::new().build(resource, value, scope).
assign_variable_xla_concat_nd: Shorthand for AssignVariableXlaConcatND::new().build(resource, inputs, scope).
atan: Shorthand for Atan::new().build(x, scope).
atan2: Shorthand for Atan2::new().build(y, x, scope).
atanh: Shorthand for Atanh::new().build(x, scope).
audio_spectrogram: Shorthand for AudioSpectrogram::new().build(input, scope).
audio_summary: Shorthand for AudioSummary::new().build(tag, tensor, scope).
audio_summary_v2: Shorthand for AudioSummaryV2::new().build(tag, tensor, sample_rate, scope).
auto_shard_dataset: Shorthand for AutoShardDataset::new().build(input_dataset, num_workers, index, scope).
avg_pool: Shorthand for AvgPool::new().build(value, scope).
avg_pool3_d: Shorthand for AvgPool3D::new().build(input, scope).
avg_pool3_dgrad: Shorthand for AvgPool3DGrad::new().build(orig_input_shape, grad, scope).
avg_pool_grad: Shorthand for AvgPoolGrad::new().build(orig_input_shape, grad, scope).
banded_triangular_solve: Shorthand for BandedTriangularSolve::new().build(matrix, rhs, scope).
barrier: Shorthand for Barrier::new().build(scope).
barrier_close: Shorthand for BarrierClose::new().build(handle, scope).
barrier_incomplete_size: Shorthand for BarrierIncompleteSize::new().build(handle, scope).
barrier_insert_many: Shorthand for BarrierInsertMany::new().build(handle, keys, values, scope).
barrier_ready_size: Shorthand for BarrierReadySize::new().build(handle, scope).
barrier_take_many: Shorthand for BarrierTakeMany::new().build(handle, num_elements, scope).
batch: Shorthand for Batch::new().build(in_tensors, scope).
batch_cholesky: Shorthand for BatchCholesky::new().build(input, scope).
batch_cholesky_grad: Shorthand for BatchCholeskyGrad::new().build(l, grad, scope).
batch_dataset: Shorthand for BatchDataset::new().build(input_dataset, batch_size, scope).
batch_dataset_v2: Shorthand for BatchDatasetV2::new().build(input_dataset, batch_size, drop_remainder, scope).
batch_fft: Shorthand for BatchFFT::new().build(input, scope).
batch_fft2_d: Shorthand for BatchFFT2D::new().build(input, scope).
batch_fft3_d: Shorthand for BatchFFT3D::new().build(input, scope).
batch_function: Shorthand for BatchFunction::new().build(in_tensors, captured_tensors, scope).
batch_ifft: Shorthand for BatchIFFT::new().build(input, scope).
batch_ifft2_d: Shorthand for BatchIFFT2D::new().build(input, scope).
batch_ifft3_d: Shorthand for BatchIFFT3D::new().build(input, scope).
batch_mat_mul: Shorthand for BatchMatMul::new().build(x, y, scope).
batch_mat_mul_v2: Shorthand for BatchMatMulV2::new().build(x, y, scope).
batch_mat_mul_v3: Shorthand for BatchMatMulV3::new().build(x, y, scope).
batch_matrix_band_part: Shorthand for BatchMatrixBandPart::new().build(input, num_lower, num_upper, scope).
batch_matrix_determinant: Shorthand for BatchMatrixDeterminant::new().build(input, scope).
batch_matrix_diag: Shorthand for BatchMatrixDiag::new().build(diagonal, scope).
batch_matrix_diag_part: Shorthand for BatchMatrixDiagPart::new().build(input, scope).
batch_matrix_inverse: Shorthand for BatchMatrixInverse::new().build(input, scope).
batch_matrix_set_diag: Shorthand for BatchMatrixSetDiag::new().build(input, diagonal, scope).
batch_matrix_solve: Shorthand for BatchMatrixSolve::new().build(matrix, rhs, scope).
batch_matrix_solve_ls: Shorthand for BatchMatrixSolveLs::new().build(matrix, rhs, l2_regularizer, scope).
batch_matrix_triangular_solve: Shorthand for BatchMatrixTriangularSolve::new().build(matrix, rhs, scope).
batch_norm_with_global_normalization: Shorthand for BatchNormWithGlobalNormalization::new().build(t, m, v, beta, gamma, scope).
batch_norm_with_global_normalization_grad: Shorthand for BatchNormWithGlobalNormalizationGrad::new().build(t, m, v, gamma, backprop, scope).
batch_self_adjoint_eig: Shorthand for BatchSelfAdjointEig::new().build(input, scope).
batch_self_adjoint_eig_v2: Shorthand for BatchSelfAdjointEigV2::new().build(input, scope).
batch_svd: Shorthand for BatchSvd::new().build(input, scope).
batch_to_space: Shorthand for BatchToSpace::new().build(input, crops, scope).
batch_to_space_nd: Shorthand for BatchToSpaceND::new().build(input, block_shape, crops, scope).
bessel_i0: Shorthand for BesselI0::new().build(x, scope).
bessel_i0e: Shorthand for BesselI0e::new().build(x, scope).
bessel_i1: Shorthand for BesselI1::new().build(x, scope).
bessel_i1e: Shorthand for BesselI1e::new().build(x, scope).
bessel_j0: Shorthand for BesselJ0::new().build(x, scope).
bessel_j1: Shorthand for BesselJ1::new().build(x, scope).
bessel_k0: Shorthand for BesselK0::new().build(x, scope).
bessel_k0e: Shorthand for BesselK0e::new().build(x, scope).
bessel_k1: Shorthand for BesselK1::new().build(x, scope).
bessel_k1e: Shorthand for BesselK1e::new().build(x, scope).
bessel_y0: Shorthand for BesselY0::new().build(x, scope).
bessel_y1: Shorthand for BesselY1::new().build(x, scope).
betainc: Shorthand for Betainc::new().build(a, b, x, scope).
bias_add: Shorthand for BiasAdd::new().build(value, bias, scope).
bias_add_grad: Shorthand for BiasAddGrad::new().build(out_backprop, scope).
bias_add_v1: Shorthand for BiasAddV1::new().build(value, bias, scope).
bincount: Shorthand for Bincount::new().build(arr, size, weights, scope).
bitcast: Shorthand for Bitcast::new().build(input, scope).
bitwise_and: Shorthand for BitwiseAnd::new().build(x, y, scope).
bitwise_or: Shorthand for BitwiseOr::new().build(x, y, scope).
bitwise_xor: Shorthand for BitwiseXor::new().build(x, y, scope).
block_lstm: Shorthand for BlockLSTM::new().build(seq_len_max, x, cs_prev, h_prev, w, wci, wcf, wco, b, scope).
block_lstmgrad: Shorthand for BlockLSTMGrad::new().build(seq_len_max, x, cs_prev, h_prev, w, wci, wcf, wco, b, i, cs, f, o, ci, co, h, cs_grad, h_grad, scope).
block_lstmgrad_v2: Shorthand for BlockLSTMGradV2::new().build(seq_len_max, x, cs_prev, h_prev, w, wci, wcf, wco, b, i, cs, f, o, ci, co, h, cs_grad, h_grad, scope).
block_lstmv2: Shorthand for BlockLSTMV2::new().build(seq_len_max, x, cs_prev, h_prev, w, wci, wcf, wco, b, scope).
boosted_trees_aggregate_stats: Shorthand for BoostedTreesAggregateStats::new().build(node_ids, gradients, hessians, feature, scope).
boosted_trees_bucketize: Shorthand for BoostedTreesBucketize::new().build(float_values, bucket_boundaries, scope).
boosted_trees_calculate_best_feature_split: Shorthand for BoostedTreesCalculateBestFeatureSplit::new().build(node_id_range, stats_summary, l1, l2, tree_complexity, min_node_weight, scope).
boosted_trees_calculate_best_feature_split_v2: Shorthand for BoostedTreesCalculateBestFeatureSplitV2::new().build(node_id_range, stats_summaries_list, split_types, candidate_feature_ids, l1, l2, tree_complexity, min_node_weight, scope).
boosted_trees_calculate_best_gains_per_feature: Shorthand for BoostedTreesCalculateBestGainsPerFeature::new().build(node_id_range, stats_summary_list, l1, l2, tree_complexity, min_node_weight, scope).
boosted_trees_center_bias: Shorthand for BoostedTreesCenterBias::new().build(tree_ensemble_handle, mean_gradients, mean_hessians, l1, l2, scope).
boosted_trees_create_ensemble: Shorthand for BoostedTreesCreateEnsemble::new().build(tree_ensemble_handle, stamp_token, tree_ensemble_serialized, scope).
boosted_trees_create_quantile_stream_resource: Shorthand for BoostedTreesCreateQuantileStreamResource::new().build(quantile_stream_resource_handle, epsilon, num_streams, scope).
boosted_trees_deserialize_ensemble: Shorthand for BoostedTreesDeserializeEnsemble::new().build(tree_ensemble_handle, stamp_token, tree_ensemble_serialized, scope).
boosted_trees_ensemble_resource_handle_op: Shorthand for BoostedTreesEnsembleResourceHandleOp::new().build(scope).
boosted_trees_example_debug_outputs: Shorthand for BoostedTreesExampleDebugOutputs::new().build(tree_ensemble_handle, bucketized_features, scope).
boosted_trees_flush_quantile_summaries: Shorthand for BoostedTreesFlushQuantileSummaries::new().build(quantile_stream_resource_handle, scope).
boosted_trees_get_ensemble_states: Shorthand for BoostedTreesGetEnsembleStates::new().build(tree_ensemble_handle, scope).
boosted_trees_make_quantile_summaries: Shorthand for BoostedTreesMakeQuantileSummaries::new().build(float_values, example_weights, epsilon, scope).
boosted_trees_make_stats_summary: Shorthand for BoostedTreesMakeStatsSummary::new().build(node_ids, gradients, hessians, bucketized_features_list, scope).
boosted_trees_predict: Shorthand for BoostedTreesPredict::new().build(tree_ensemble_handle, bucketized_features, scope).
boosted_trees_quantile_stream_resource_add_summaries: Shorthand for BoostedTreesQuantileStreamResourceAddSummaries::new().build(quantile_stream_resource_handle, summaries, scope).
boosted_trees_quantile_stream_resource_deserialize: Shorthand for BoostedTreesQuantileStreamResourceDeserialize::new().build(quantile_stream_resource_handle, bucket_boundaries, scope).
boosted_trees_quantile_stream_resource_flush: Shorthand for BoostedTreesQuantileStreamResourceFlush::new().build(quantile_stream_resource_handle, num_buckets, scope).
boosted_trees_quantile_stream_resource_get_bucket_boundaries: Shorthand for BoostedTreesQuantileStreamResourceGetBucketBoundaries::new().build(quantile_stream_resource_handle, scope).
boosted_trees_quantile_stream_resource_handle_op: Shorthand for BoostedTreesQuantileStreamResourceHandleOp::new().build(scope).
boosted_trees_serialize_ensemble: Shorthand for BoostedTreesSerializeEnsemble::new().build(tree_ensemble_handle, scope).
boosted_trees_sparse_aggregate_stats: Shorthand for BoostedTreesSparseAggregateStats::new().build(node_ids, gradients, hessians, feature_indices, feature_values, feature_shape, scope).
boosted_trees_sparse_calculate_best_feature_split: Shorthand for BoostedTreesSparseCalculateBestFeatureSplit::new().build(node_id_range, stats_summary_indices, stats_summary_values, stats_summary_shape, l1, l2, tree_complexity, min_node_weight, scope).
boosted_trees_training_predict: Shorthand for BoostedTreesTrainingPredict::new().build(tree_ensemble_handle, cached_tree_ids, cached_node_ids, bucketized_features, scope).
boosted_trees_update_ensemble: Shorthand for BoostedTreesUpdateEnsemble::new().build(tree_ensemble_handle, feature_ids, node_ids, gains, thresholds, left_node_contribs, right_node_contribs, max_depth, learning_rate, scope).
boosted_trees_update_ensemble_v2: Shorthand for BoostedTreesUpdateEnsembleV2::new().build(tree_ensemble_handle, feature_ids, dimension_ids, node_ids, gains, thresholds, left_node_contribs, right_node_contribs, split_types, max_depth, learning_rate, pruning_mode, scope).
broadcast_args: Shorthand for BroadcastArgs::new().build(s0, s1, scope).
broadcast_gradient_args: Shorthand for BroadcastGradientArgs::new().build(s0, s1, scope).
broadcast_to: Shorthand for BroadcastTo::new().build(input, shape, scope).
bucketize: Shorthand for Bucketize::new().build(input, scope).
bytes_produced_stats_dataset: Shorthand for BytesProducedStatsDataset::new().build(input_dataset, tag, scope).
cache_dataset: Shorthand for CacheDataset::new().build(input_dataset, filename, scope).
cache_dataset_v2: Shorthand for CacheDatasetV2::new().build(input_dataset, filename, cache, scope).
case: Shorthand for Case::new().build(branch_index, input, scope).
cast: Shorthand for Cast::new().build(x, scope).
ceil: Shorthand for Ceil::new().build(x, scope).
check_numerics: Shorthand for CheckNumerics::new().build(tensor, scope).
check_numerics_v2: Shorthand for CheckNumericsV2::new().build(tensor, scope).
cholesky: Shorthand for Cholesky::new().build(input, scope).
cholesky_grad: Shorthand for CholeskyGrad::new().build(l, grad, scope).
choose_fastest_branch_dataset: Shorthand for ChooseFastestBranchDataset::new().build(input_dataset, ratio_numerator, ratio_denominator, other_arguments, scope).
choose_fastest_dataset: Shorthand for ChooseFastestDataset::new().build(input_datasets, scope).
clip_by_value: Shorthand for ClipByValue::new().build(t, clip_value_min, clip_value_max, scope).
close_summary_writer: Shorthand for CloseSummaryWriter::new().build(writer, scope).
collate_tpuembedding_memory: Shorthand for CollateTPUEmbeddingMemory::new().build(memory_configs, scope).
collective_all_to_all_v2: Shorthand for CollectiveAllToAllV2::new().build(input, group_size, group_key, instance_key, ordering_token, scope).
collective_all_to_all_v3: Shorthand for CollectiveAllToAllV3::new().build(input, communicator, group_assignment, scope).
collective_assign_group_v2: Shorthand for CollectiveAssignGroupV2::new().build(group_assignment, device_index, base_key, scope).
collective_bcast_recv: Shorthand for CollectiveBcastRecv::new().build(scope).
collective_bcast_recv_v2: Shorthand for CollectiveBcastRecvV2::new().build(group_size, group_key, instance_key, shape, scope).
collective_bcast_send: Shorthand for CollectiveBcastSend::new().build(input, scope).
collective_bcast_send_v2: Shorthand for CollectiveBcastSendV2::new().build(input, group_size, group_key, instance_key, scope).
collective_gather: Shorthand for CollectiveGather::new().build(input, scope).
collective_gather_v2: Shorthand for CollectiveGatherV2::new().build(input, group_size, group_key, instance_key, ordering_token, scope).
collective_initialize_communicator: Shorthand for CollectiveInitializeCommunicator::new().build(group_key, rank, group_size, scope).
collective_permute: Shorthand for CollectivePermute::new().build(input, source_target_pairs, scope).
collective_reduce: Shorthand for CollectiveReduce::new().build(input, scope).
collective_reduce_scatter_v2: Shorthand for CollectiveReduceScatterV2::new().build(input, group_size, group_key, instance_key, ordering_token, scope).
collective_reduce_v2: Shorthand for CollectiveReduceV2::new().build(input, group_size, group_key, instance_key, ordering_token, scope).
collective_reduce_v3: Shorthand for CollectiveReduceV3::new().build(input, communicator, group_assignment, scope).
combined_non_max_suppression: Shorthand for CombinedNonMaxSuppression::new().build(boxes, scores, max_output_size_per_class, max_total_size, iou_threshold, score_threshold, scope).
complex: Shorthand for Complex::new().build(real, imag, scope).
complex_abs: Shorthand for ComplexAbs::new().build(x, scope).
composite_tensor_variant_from_components: Shorthand for CompositeTensorVariantFromComponents::new().build(components, scope).
composite_tensor_variant_to_components: Shorthand for CompositeTensorVariantToComponents::new().build(encoded, scope).
compress_element: Shorthand for CompressElement::new().build(components, scope).
compute_accidental_hits: Shorthand for ComputeAccidentalHits::new().build(true_classes, sampled_candidates, scope).
compute_batch_size: Shorthand for ComputeBatchSize::new().build(input_dataset, scope).
compute_dedup_data_tuple_mask: Shorthand for ComputeDedupDataTupleMask::new().build(scope).
concat: Shorthand for Concat::new().build(concat_dim, values, scope).
concat_offset: Shorthand for ConcatOffset::new().build(concat_dim, shape, scope).
concat_v2: Shorthand for ConcatV2::new().build(values, axis, scope).
concatenate_dataset: Shorthand for ConcatenateDataset::new().build(input_dataset, another_dataset, scope).
conditional_accumulator: Shorthand for ConditionalAccumulator::new().build(scope).
configure_and_initialize_global_tpu: Shorthand for ConfigureAndInitializeGlobalTPU::new().build(scope).
configure_distributed_tpu: Shorthand for ConfigureDistributedTPU::new().build(scope).
configure_tpuembedding: Shorthand for ConfigureTPUEmbedding::new().build(scope).
configure_tpuembedding_host: Shorthand for ConfigureTPUEmbeddingHost::new().build(common_config, memory_config, scope).
configure_tpuembedding_memory: Shorthand for ConfigureTPUEmbeddingMemory::new().build(common_config, scope).
conj: Shorthand for Conj::new().build(input, scope).
conjugate_transpose: Shorthand for ConjugateTranspose::new().build(x, perm, scope).
connect_tpuembedding_hosts: Shorthand for ConnectTPUEmbeddingHosts::new().build(network_configs, scope).
const_: Shorthand for Const::new().build(scope).
constant: Creates a constant.
consume_mutex_lock: Shorthand for ConsumeMutexLock::new().build(mutex_lock, scope).
control_trigger: Shorthand for ControlTrigger::new().build(scope).
conv2_d: Shorthand for Conv2D::new().build(input, filter, scope).
conv2_dbackprop_filter: Shorthand for Conv2DBackpropFilter::new().build(input, filter_sizes, out_backprop, scope).
conv2_dbackprop_filter_v2: Shorthand for Conv2DBackpropFilterV2::new().build(input, filter, out_backprop, scope).
conv2_dbackprop_input: Shorthand for Conv2DBackpropInput::new().build(input_sizes, filter, out_backprop, scope).
conv2_dbackprop_input_v2: Shorthand for Conv2DBackpropInputV2::new().build(input, filter, out_backprop, scope).
conv3_d: Shorthand for Conv3D::new().build(input, filter, scope).
conv3_dbackprop_filter: Shorthand for Conv3DBackpropFilter::new().build(input, filter, out_backprop, scope).
conv3_dbackprop_filter_v2: Shorthand for Conv3DBackpropFilterV2::new().build(input, filter_sizes, out_backprop, scope).
conv3_dbackprop_input: Shorthand for Conv3DBackpropInput::new().build(input, filter, out_backprop, scope).
conv3_dbackprop_input_v2: Shorthand for Conv3DBackpropInputV2::new().build(input_sizes, filter, out_backprop, scope).
copy: Shorthand for Copy::new().build(input, scope).
copy_host: Shorthand for CopyHost::new().build(input, scope).
copy_to_mesh: Shorthand for CopyToMesh::new().build(input, scope).
copy_to_mesh_grad: Shorthand for CopyToMeshGrad::new().build(input, forward_input, scope).
cos: Shorthand for Cos::new().build(x, scope).
cosh: Shorthand for Cosh::new().build(x, scope).
count_up_to: Shorthand for CountUpTo::new().build(ref_, scope).
create_summary_db_writer: Shorthand for CreateSummaryDbWriter::new().build(writer, db_uri, experiment_name, run_name, user_name, scope).
create_summary_file_writer: Shorthand for CreateSummaryFileWriter::new().build(writer, logdir, max_queue, flush_millis, filename_suffix, scope).
crop_and_resize: Shorthand for CropAndResize::new().build(image, boxes, box_ind, crop_size, scope).
crop_and_resize_grad_boxes: Shorthand for CropAndResizeGradBoxes::new().build(grads, image, boxes, box_ind, scope).
crop_and_resize_grad_image: Shorthand for CropAndResizeGradImage::new().build(grads, boxes, box_ind, image_size, scope).
cross: Shorthand for Cross::new().build(a, b, scope).
cross_replica_sum: Shorthand for CrossReplicaSum::new().build(input, group_assignment, scope).
csrsparse_matrix_components: Shorthand for CSRSparseMatrixComponents::new().build(csr_sparse_matrix, index, scope).
csrsparse_matrix_to_dense: Shorthand for CSRSparseMatrixToDense::new().build(sparse_input, scope).
csrsparse_matrix_to_sparse_tensor: Shorthand for CSRSparseMatrixToSparseTensor::new().build(sparse_matrix, scope).
csvdataset: Shorthand for CSVDataset::new().build(filenames, compression_type, buffer_size, header, field_delim, use_quote_delim, na_value, select_cols, record_defaults, scope).
csvdataset_v2: Shorthand for CSVDatasetV2::new().build(filenames, compression_type, buffer_size, header, field_delim, use_quote_delim, na_value, select_cols, record_defaults, exclude_cols, scope).
ctcbeam_search_decoder: Shorthand for CTCBeamSearchDecoder::new().build(inputs, sequence_length, scope).
ctcgreedy_decoder: Shorthand for CTCGreedyDecoder::new().build(inputs, sequence_length, scope).
ctcloss: Shorthand for CTCLoss::new().build(inputs, labels_indices, labels_values, sequence_length, scope).
ctcloss_v2: Shorthand for CTCLossV2::new().build(inputs, labels_indices, labels_values, sequence_length, scope).
cudnn_rnn: Shorthand for CudnnRNN::new().build(input, input_h, input_c, params, scope).
cudnn_rnnbackprop: Shorthand for CudnnRNNBackprop::new().build(input, input_h, input_c, params, output, output_h, output_c, output_backprop, output_h_backprop, output_c_backprop, reserve_space, scope).
cudnn_rnnbackprop_v2: Shorthand for CudnnRNNBackpropV2::new().build(input, input_h, input_c, params, output, output_h, output_c, output_backprop, output_h_backprop, output_c_backprop, reserve_space, host_reserved, scope).
cudnn_rnnbackprop_v3: Shorthand for CudnnRNNBackpropV3::new().build(input, input_h, input_c, params, sequence_lengths, output, output_h, output_c, output_backprop, output_h_backprop, output_c_backprop, reserve_space, host_reserved, scope).
cudnn_rnncanonical_to_params: Shorthand for CudnnRNNCanonicalToParams::new().build(num_layers, num_units, input_size, weights, biases, scope).
cudnn_rnncanonical_to_params_v2: Shorthand for CudnnRNNCanonicalToParamsV2::new().build(num_layers, num_units, input_size, weights, biases, scope).
cudnn_rnnparams_size: Shorthand for CudnnRNNParamsSize::new().build(num_layers, num_units, input_size, scope).
cudnn_rnnparams_to_canonical: Shorthand for CudnnRNNParamsToCanonical::new().build(num_layers, num_units, input_size, params, scope).
cudnn_rnnparams_to_canonical_v2: Shorthand for CudnnRNNParamsToCanonicalV2::new().build(num_layers, num_units, input_size, params, scope).
cudnn_rnnv2: Shorthand for CudnnRNNV2::new().build(input, input_h, input_c, params, scope).
cudnn_rnnv3: Shorthand for CudnnRNNV3::new().build(input, input_h, input_c, params, sequence_lengths, scope).
cumprod: Shorthand for Cumprod::new().build(x, axis, scope).
cumsum: Shorthand for Cumsum::new().build(x, axis, scope).
cumulative_logsumexp: Shorthand for CumulativeLogsumexp::new().build(x, axis, scope).
data_format_dim_map: Shorthand for DataFormatDimMap::new().build(x, scope).
data_format_vec_permute: Shorthand for DataFormatVecPermute::new().build(x, scope).
data_service_dataset: Shorthand for DataServiceDataset::new().build(dataset_id, processing_mode, address, protocol, job_name, max_outstanding_requests, iteration_counter, scope).
data_service_dataset_v2: Shorthand for DataServiceDatasetV2::new().build(dataset_id, processing_mode, address, protocol, job_name, consumer_index, num_consumers, max_outstanding_requests, iteration_counter, scope).
data_service_dataset_v3: Shorthand for DataServiceDatasetV3::new().build(dataset_id, processing_mode, address, protocol, job_name, consumer_index, num_consumers, max_outstanding_requests, iteration_counter, scope).
data_service_dataset_v4: Shorthand for DataServiceDatasetV4::new().build(dataset_id, processing_mode, address, protocol, job_name, consumer_index, num_consumers, max_outstanding_requests, iteration_counter, scope).
dataset_cardinality: Shorthand for DatasetCardinality::new().build(input_dataset, scope).
dataset_from_graph: Shorthand for DatasetFromGraph::new().build(graph_def, scope).
dataset_to_graph: Shorthand for DatasetToGraph::new().build(input_dataset, scope).
dataset_to_graph_v2: Shorthand for DatasetToGraphV2::new().build(input_dataset, scope).
dataset_to_single_element: Shorthand for DatasetToSingleElement::new().build(dataset, scope).
dataset_to_tfrecord: Shorthand for DatasetToTFRecord::new().build(input_dataset, filename, compression_type, scope).
dawsn: Shorthand for Dawsn::new().build(x, scope).
debug_gradient_identity: Shorthand for DebugGradientIdentity::new().build(input, scope).
debug_gradient_ref_identity: Shorthand for DebugGradientRefIdentity::new().build(input, scope).
debug_identity: Shorthand for DebugIdentity::new().build(input, scope).
debug_identity_v2: Shorthand for DebugIdentityV2::new().build(input, scope).
debug_identity_v3: Shorthand for DebugIdentityV3::new().build(input, scope).
debug_nan_count: Shorthand for DebugNanCount::new().build(input, scope).
debug_numeric_summary: Shorthand for DebugNumericSummary::new().build(input, scope).
debug_numeric_summary_v2: Shorthand for DebugNumericSummaryV2::new().build(input, scope).
decode_and_crop_jpeg: Shorthand for DecodeAndCropJpeg::new().build(contents, crop_window, scope).
decode_base64: Shorthand for DecodeBase64::new().build(input, scope).
decode_bmp: Shorthand for DecodeBmp::new().build(contents, scope).
decode_compressed: Shorthand for DecodeCompressed::new().build(bytes, scope).
decode_csv: Shorthand for DecodeCSV::new().build(records, record_defaults, scope).
decode_gif: Shorthand for DecodeGif::new().build(contents, scope).
decode_image: Shorthand for DecodeImage::new().build(contents, scope).
decode_jpeg: Shorthand for DecodeJpeg::new().build(contents, scope).
decode_jsonexample: Shorthand for DecodeJSONExample::new().build(json_examples, scope).
decode_padded_raw: Shorthand for DecodePaddedRaw::new().build(input_bytes, fixed_length, scope).
decode_png: Shorthand for DecodePng::new().build(contents, scope).
decode_proto_v2: Shorthand for DecodeProtoV2::new().build(bytes, scope).
decode_raw: Shorthand for DecodeRaw::new().build(bytes, scope).
decode_wav: Shorthand for DecodeWav::new().build(contents, scope).
deep_copy: Shorthand for DeepCopy::new().build(x, scope).
delete_iterator: Shorthand for DeleteIterator::new().build(handle, deleter, scope).
delete_memory_cache: Shorthand for DeleteMemoryCache::new().build(handle, deleter, scope).
delete_multi_device_iterator: Shorthand for DeleteMultiDeviceIterator::new().build(multi_device_iterator, iterators, deleter, scope).
delete_random_seed_generator: Shorthand for DeleteRandomSeedGenerator::new().build(handle, deleter, scope).
delete_seed_generator: Shorthand for DeleteSeedGenerator::new().build(handle, deleter, scope).
delete_session_tensor: Shorthand for DeleteSessionTensor::new().build(handle, scope).
dense_bincount: Shorthand for DenseBincount::new().build(input, size, weights, scope).
dense_count_sparse_output: Shorthand for DenseCountSparseOutput::new().build(values, weights, scope).
dense_to_csrsparse_matrix: Shorthand for DenseToCSRSparseMatrix::new().build(dense_input, indices, scope).
dense_to_dense_set_operation: Shorthand for DenseToDenseSetOperation::new().build(set1, set2, scope).
dense_to_sparse_batch_dataset: Shorthand for DenseToSparseBatchDataset::new().build(input_dataset, batch_size, row_shape, scope).
dense_to_sparse_set_operation: Shorthand for DenseToSparseSetOperation::new().build(set1, set2_indices, set2_values, set2_shape, scope).
depth_to_space: Shorthand for DepthToSpace::new().build(input, scope).
depthwise_conv2d_native: Shorthand for DepthwiseConv2dNative::new().build(input, filter, scope).
depthwise_conv2d_native_backprop_filter: Shorthand for DepthwiseConv2dNativeBackpropFilter::new().build(input, filter_sizes, out_backprop, scope).
depthwise_conv2d_native_backprop_input: Shorthand for DepthwiseConv2dNativeBackpropInput::new().build(input_sizes, filter, out_backprop, scope).
dequantize: Shorthand for Dequantize::new().build(input, min_range, max_range, scope).
deserialize_iterator: Shorthand for DeserializeIterator::new().build(resource_handle, serialized, scope).
deserialize_many_sparse: Shorthand for DeserializeManySparse::new().build(serialized_sparse, scope).
deserialize_sparse: Shorthand for DeserializeSparse::new().build(serialized_sparse, scope).
destroy_resource_op: Shorthand for DestroyResourceOp::new().build(resource, scope).
destroy_temporary_variable: Shorthand for DestroyTemporaryVariable::new().build(ref_, scope).
device_index: Shorthand for DeviceIndex::new().build(scope).
diag: Shorthand for Diag::new().build(diagonal, scope).
diag_part: Shorthand for DiagPart::new().build(input, scope).
digamma: Shorthand for Digamma::new().build(x, scope).
dilation2_d: Shorthand for Dilation2D::new().build(input, filter, scope).
dilation2_dbackprop_filter: Shorthand for Dilation2DBackpropFilter::new().build(input, filter, out_backprop, scope).
dilation2_dbackprop_input: Shorthand for Dilation2DBackpropInput::new().build(input, filter, out_backprop, scope).
directed_interleave_dataset: Shorthand for DirectedInterleaveDataset::new().build(selector_input_dataset, data_input_datasets, scope).
disable_copy_on_read: Shorthand for DisableCopyOnRead::new().build(resource, scope).
distributed_save: Shorthand for DistributedSave::new().build(dataset, directory, address, scope).
div: Shorthand for Div::new().build(x, y, scope).
div_no_nan: Shorthand for DivNoNan::new().build(x, y, scope).
draw_bounding_boxes: Shorthand for DrawBoundingBoxes::new().build(images, boxes, scope).
draw_bounding_boxes_v2: Shorthand for DrawBoundingBoxesV2::new().build(images, boxes, colors, scope).
dtensor_restore_v2: Shorthand for DTensorRestoreV2::new().build(prefix, tensor_names, shape_and_slices, scope).
dtensor_set_global_tpuarray: Shorthand for DTensorSetGlobalTPUArray::new().build(topology, scope).
dummy_iteration_counter: Shorthand for DummyIterationCounter::new().build(scope).
dummy_memory_cache: Shorthand for DummyMemoryCache::new().build(scope).
dummy_seed_generator: Shorthand for DummySeedGenerator::new().build(scope).
dynamic_enqueue_tpuembedding_arbitrary_tensor_batch: Shorthand for DynamicEnqueueTPUEmbeddingArbitraryTensorBatch::new().build(sample_indices_or_row_splits, embedding_indices, aggregation_weights, mode_override, device_ordinal, scope).
dynamic_partition: Shorthand for DynamicPartition::new().build(data, partitions, scope).
dynamic_stitch: Shorthand for DynamicStitch::new().build(indices, data, scope).
eager_py_func: Shorthand for EagerPyFunc::new().build(input, scope).
edit_distance: Shorthand for EditDistance::new().build(hypothesis_indices, hypothesis_values, hypothesis_shape, truth_indices, truth_values, truth_shape, scope).
eig: Shorthand for Eig::new().build(input, scope).
einsum: Shorthand for Einsum::new().build(inputs, scope).
elu: Shorthand for Elu::new().build(features, scope).
elu_grad: Shorthand for EluGrad::new().build(gradients, outputs, scope).
empty: Shorthand for Empty::new().build(shape, scope).
empty_tensor_list: Shorthand for EmptyTensorList::new().build(element_shape, max_num_elements, scope).
empty_tensor_map: Shorthand for EmptyTensorMap::new().build(scope).
encode_base64: Shorthand for EncodeBase64::new().build(input, scope).
encode_jpeg: Shorthand for EncodeJpeg::new().build(image, scope).
encode_jpeg_variable_quality: Shorthand for EncodeJpegVariableQuality::new().build(images, quality, scope).
encode_png: Shorthand for EncodePng::new().build(image, scope).
encode_proto: Shorthand for EncodeProto::new().build(sizes, values, scope).
encode_wav: Shorthand for EncodeWav::new().build(audio, sample_rate, scope).
enqueue_tpuembedding_arbitrary_tensor_batch: Shorthand for EnqueueTPUEmbeddingArbitraryTensorBatch::new().build(sample_indices_or_row_splits, embedding_indices, aggregation_weights, mode_override, scope).
enqueue_tpuembedding_batch: Shorthand for EnqueueTPUEmbeddingBatch::new().build(batch, mode_override, scope).
enqueue_tpuembedding_integer_batch: Shorthand for EnqueueTPUEmbeddingIntegerBatch::new().build(batch, mode_override, scope).
enqueue_tpuembedding_ragged_tensor_batch: Shorthand for EnqueueTPUEmbeddingRaggedTensorBatch::new().build(sample_splits, embedding_indices, aggregation_weights, mode_override, scope).
enqueue_tpuembedding_sparse_batch: Shorthand for EnqueueTPUEmbeddingSparseBatch::new().build(sample_indices, embedding_indices, aggregation_weights, mode_override, scope).
enqueue_tpuembedding_sparse_tensor_batch: Shorthand for EnqueueTPUEmbeddingSparseTensorBatch::new().build(sample_indices, embedding_indices, aggregation_weights, mode_override, scope).
ensure_shape: Shorthand for EnsureShape::new().build(input, scope).
enter: Shorthand for Enter::new().build(data, scope).
equal: Shorthand for Equal::new().build(x, y, scope).
erf: Shorthand for Erf::new().build(x, scope).
erfc: Shorthand for Erfc::new().build(x, scope).
erfinv: Shorthand for Erfinv::new().build(x, scope).
euclidean_norm: Shorthand for EuclideanNorm::new().build(input, reduction_indices, scope).
execute_tpuembedding_partitioner: Shorthand for ExecuteTPUEmbeddingPartitioner::new().build(scope).
exit: Shorthand for Exit::new().build(data, scope).
exp: Shorthand for Exp::new().build(x, scope).
expand_dims: Shorthand for ExpandDims::new().build(input, dim, scope).
experimental_assert_next_dataset: Shorthand for ExperimentalAssertNextDataset::new().build(input_dataset, transformations, scope).
experimental_auto_shard_dataset: Shorthand for ExperimentalAutoShardDataset::new().build(input_dataset, num_workers, index, scope).
experimental_bytes_produced_stats_dataset: Shorthand for ExperimentalBytesProducedStatsDataset::new().build(input_dataset, tag, scope).
experimental_choose_fastest_dataset: Shorthand for ExperimentalChooseFastestDataset::new().build(input_datasets, scope).
experimental_csvdataset: Shorthand for ExperimentalCSVDataset::new().build(filenames, compression_type, buffer_size, header, field_delim, use_quote_delim, na_value, select_cols, record_defaults, scope).
experimental_dataset_cardinality: Shorthand for ExperimentalDatasetCardinality::new().build(input_dataset, scope).
experimental_dataset_to_tfrecord: Shorthand for ExperimentalDatasetToTFRecord::new().build(input_dataset, filename, compression_type, scope).
experimental_dense_to_sparse_batch_dataset: Shorthand for ExperimentalDenseToSparseBatchDataset::new().build(input_dataset, batch_size, row_shape, scope).
experimental_directed_interleave_dataset: Shorthand for ExperimentalDirectedInterleaveDataset::new().build(selector_input_dataset, data_input_datasets, scope).
experimental_group_by_reducer_dataset: Shorthand for ExperimentalGroupByReducerDataset::new().build(input_dataset, key_func_other_arguments, init_func_other_arguments, reduce_func_other_arguments, finalize_func_other_arguments, scope).
experimental_group_by_window_dataset: Shorthand for ExperimentalGroupByWindowDataset::new().build(input_dataset, key_func_other_arguments, reduce_func_other_arguments, window_size_func_other_arguments, scope).
experimental_ignore_errors_dataset: Shorthand for ExperimentalIgnoreErrorsDataset::new().build(input_dataset, scope).
experimental_iterator_get_device: Shorthand for ExperimentalIteratorGetDevice::new().build(resource, scope).
experimental_latency_stats_dataset: Shorthand for ExperimentalLatencyStatsDataset::new().build(input_dataset, tag, scope).
experimental_lmdbdataset: Shorthand for ExperimentalLMDBDataset::new().build(filenames, scope).
experimental_map_and_batch_dataset: Shorthand for ExperimentalMapAndBatchDataset::new().build(input_dataset, other_arguments, batch_size, num_parallel_calls, drop_remainder, scope).
experimental_map_dataset: Shorthand for ExperimentalMapDataset::new().build(input_dataset, other_arguments, scope).
experimental_matching_files_dataset: Shorthand for ExperimentalMatchingFilesDataset::new().build(patterns, scope).
experimental_max_intra_op_parallelism_dataset: Shorthand for ExperimentalMaxIntraOpParallelismDataset::new().build(input_dataset, max_intra_op_parallelism, scope).
experimental_non_serializable_dataset: Shorthand for ExperimentalNonSerializableDataset::new().build(input_dataset, scope).
experimental_parallel_interleave_dataset: Shorthand for ExperimentalParallelInterleaveDataset::new().build(input_dataset, other_arguments, cycle_length, block_length, sloppy, buffer_output_elements, prefetch_input_elements, scope).
experimental_parse_example_dataset: Shorthand for ExperimentalParseExampleDataset::new().build(input_dataset, num_parallel_calls, dense_defaults, scope).
experimental_private_thread_pool_dataset: Shorthand for ExperimentalPrivateThreadPoolDataset::new().build(input_dataset, num_threads, scope).
experimental_random_dataset: Shorthand for ExperimentalRandomDataset::new().build(seed, seed2, scope).
experimental_rebatch_dataset: Shorthand for ExperimentalRebatchDataset::new().build(input_dataset, num_replicas, scope).
experimental_scan_dataset: Shorthand for ExperimentalScanDataset::new().build(input_dataset, initial_state, other_arguments, scope).
experimental_set_stats_aggregator_dataset: Shorthand for ExperimentalSetStatsAggregatorDataset::new().build(input_dataset, stats_aggregator, tag, counter_prefix, scope).
experimental_sleep_dataset: Shorthand for ExperimentalSleepDataset::new().build(input_dataset, sleep_microseconds, scope).
experimental_sliding_window_dataset: Shorthand for ExperimentalSlidingWindowDataset::new().build(input_dataset, window_size, window_shift, window_stride, scope).
experimental_sql_dataset: Shorthand for ExperimentalSqlDataset::new().build(driver_name, data_source_name, query, scope).
experimental_stats_aggregator_handle: Shorthand for ExperimentalStatsAggregatorHandle::new().build(scope).
experimental_stats_aggregator_summary: Shorthand for ExperimentalStatsAggregatorSummary::new().build(iterator, scope).
experimental_take_while_dataset: Shorthand for ExperimentalTakeWhileDataset::new().build(input_dataset, other_arguments, scope).
experimental_thread_pool_dataset: Shorthand for ExperimentalThreadPoolDataset::new().build(input_dataset, thread_pool, scope).
experimental_thread_pool_handle: Shorthand for ExperimentalThreadPoolHandle::new().build(scope).
experimental_unbatch_dataset: Shorthand for ExperimentalUnbatchDataset::new().build(input_dataset, scope).
experimental_unique_dataset: Shorthand for ExperimentalUniqueDataset::new().build(input_dataset, scope).
expint: Shorthand for Expint::new().build(x, scope).
expm1: Shorthand for Expm1::new().build(x, scope).
extract_glimpse: Shorthand for ExtractGlimpse::new().build(input, size, offsets, scope).
extract_glimpse_v2: Shorthand for ExtractGlimpseV2::new().build(input, size, offsets, scope).
extract_image_patches: Shorthand for ExtractImagePatches::new().build(images, scope).
extract_jpeg_shape: Shorthand for ExtractJpegShape::new().build(contents, scope).
extract_volume_patches: Shorthand for ExtractVolumePatches::new().build(input, scope).
fact: Shorthand for Fact::new().build(scope).
fake_param: Shorthand for FakeParam::new().build(scope).
fake_quant_with_min_max_args: Shorthand for FakeQuantWithMinMaxArgs::new().build(inputs, scope).
fake_quant_with_min_max_args_gradient: Shorthand for FakeQuantWithMinMaxArgsGradient::new().build(gradients, inputs, scope).
fake_quant_with_min_max_vars: Shorthand for FakeQuantWithMinMaxVars::new().build(inputs, min, max, scope).
fake_quant_with_min_max_vars_gradient: Shorthand for FakeQuantWithMinMaxVarsGradient::new().build(gradients, inputs, min, max, scope).
fake_quant_with_min_max_vars_per_channel: Shorthand for FakeQuantWithMinMaxVarsPerChannel::new().build(inputs, min, max, scope).
fake_quant_with_min_max_vars_per_channel_gradient: Shorthand for FakeQuantWithMinMaxVarsPerChannelGradient::new().build(gradients, inputs, min, max, scope).
fake_queue: Shorthand for FakeQueue::new().build(resource, scope).
fft: Shorthand for FFT::new().build(input, scope).
fft2_d: Shorthand for FFT2D::new().build(input, scope).
fft3_d: Shorthand for FFT3D::new().build(input, scope).
fifoqueue: Shorthand for FIFOQueue::new().build(scope).
fifoqueue_v2: Shorthand for FIFOQueueV2::new().build(scope).
file_system_set_configuration: Shorthand for FileSystemSetConfiguration::new().build(scheme, key, value, scope).
fill: Shorthand for Fill::new().build(dims, value, scope).
filter_by_last_component_dataset: Shorthand for FilterByLastComponentDataset::new().build(input_dataset, scope).
filter_dataset: Shorthand for FilterDataset::new().build(input_dataset, other_arguments, scope).
finalize_dataset: Shorthand for FinalizeDataset::new().build(input_dataset, scope).
finalize_tpuembedding: Shorthand for FinalizeTPUEmbedding::new().build(common_config, memory_config, scope).
fingerprint: Shorthand for Fingerprint::new().build(data, method, scope).
fixed_length_record_dataset: Shorthand for FixedLengthRecordDataset::new().build(filenames, header_bytes, record_bytes, footer_bytes, buffer_size, scope).
fixed_length_record_dataset_v2: Shorthand for FixedLengthRecordDatasetV2::new().build(filenames, header_bytes, record_bytes, footer_bytes, buffer_size, compression_type, scope).
fixed_length_record_reader: Shorthand for FixedLengthRecordReader::new().build(scope).
fixed_length_record_reader_v2: Shorthand for FixedLengthRecordReaderV2::new().build(scope).
fixed_unigram_candidate_sampler: Shorthand for FixedUnigramCandidateSampler::new().build(true_classes, scope).
flat_map_dataset: Shorthand for FlatMapDataset::new().build(input_dataset, other_arguments, scope).
floor: Shorthand for Floor::new().build(x, scope).
floor_div: Shorthand for FloorDiv::new().build(x, y, scope).
floor_mod: Shorthand for FloorMod::new().build(x, y, scope).
flush_summary_writer: Shorthand for FlushSummaryWriter::new().build(writer, scope).
for_: Shorthand for For::new().build(start, limit, delta, input, scope).
fractional_avg_pool: Shorthand for FractionalAvgPool::new().build(value, scope).
fractional_avg_pool_grad: Shorthand for FractionalAvgPoolGrad::new().build(orig_input_tensor_shape, out_backprop, row_pooling_sequence, col_pooling_sequence, scope).
fractional_max_pool: Shorthand for FractionalMaxPool::new().build(value, scope).
fractional_max_pool_grad: Shorthand for FractionalMaxPoolGrad::new().build(orig_input, orig_output, out_backprop, row_pooling_sequence, col_pooling_sequence, scope).
fresnel_cos: Shorthand for FresnelCos::new().build(x, scope).
fresnel_sin: Shorthand for FresnelSin::new().build(x, scope).
fused_batch_norm: Shorthand for FusedBatchNorm::new().build(x, scale, offset, mean, variance, scope).
fused_batch_norm_grad: Shorthand for FusedBatchNormGrad::new().build(y_backprop, x, scale, reserve_space_1, reserve_space_2, scope).
fused_batch_norm_grad_v2: Shorthand for FusedBatchNormGradV2::new().build(y_backprop, x, scale, reserve_space_1, reserve_space_2, scope).
fused_batch_norm_grad_v3: Shorthand for FusedBatchNormGradV3::new().build(y_backprop, x, scale, reserve_space_1, reserve_space_2, reserve_space_3, scope).
fused_batch_norm_v2: Shorthand for FusedBatchNormV2::new().build(x, scale, offset, mean, variance, scope).
fused_batch_norm_v3: Shorthand for FusedBatchNormV3::new().build(x, scale, offset, mean, variance, scope).
fused_pad_conv2_d: Shorthand for FusedPadConv2D::new().build(input, paddings, filter, scope).
fused_resize_and_pad_conv2_d: Shorthand for FusedResizeAndPadConv2D::new().build(input, size, paddings, filter, scope).
gather: Shorthand for Gather::new().build(params, indices, scope).
gather_nd: Shorthand for GatherNd::new().build(params, indices, scope).
gather_v2: Shorthand for GatherV2::new().build(params, indices, axis, scope).
generate_bounding_box_proposals: Shorthand for GenerateBoundingBoxProposals::new().build(scores, bbox_deltas, image_info, anchors, nms_threshold, pre_nms_topn, min_size, scope).
generate_vocab_remapping: Shorthand for GenerateVocabRemapping::new().build(new_vocab_file, old_vocab_file, scope).
generator_dataset: Shorthand for GeneratorDataset::new().build(init_func_other_args, next_func_other_args, finalize_func_other_args, scope).
get_element_at_index: Shorthand for GetElementAtIndex::new().build(dataset, index, scope).
get_options: Shorthand for GetOptions::new().build(input_dataset, scope).
get_session_handle: Shorthand for GetSessionHandle::new().build(value, scope).
get_session_handle_v2: Shorthand for GetSessionHandleV2::new().build(value, scope).
get_session_tensor: Shorthand for GetSessionTensor::new().build(handle, scope).
greater: Shorthand for Greater::new().build(x, y, scope).
greater_equal: Shorthand for GreaterEqual::new().build(x, y, scope).
group_by_reducer_dataset: Shorthand for GroupByReducerDataset::new().build(input_dataset, key_func_other_arguments, init_func_other_arguments, reduce_func_other_arguments, finalize_func_other_arguments, scope).
group_by_window_dataset: Shorthand for GroupByWindowDataset::new().build(input_dataset, key_func_other_arguments, reduce_func_other_arguments, window_size_func_other_arguments, scope).
grublock_cell: Shorthand for GRUBlockCell::new().build(x, h_prev, w_ru, w_c, b_ru, b_c, scope).
grublock_cell_grad: Shorthand for GRUBlockCellGrad::new().build(x, h_prev, w_ru, w_c, b_ru, b_c, r, u, c, d_h, scope).
guarantee_const: Shorthand for GuaranteeConst::new().build(input, scope).
hash_table: Shorthand for HashTable::new().build(scope).
hash_table_v2: Shorthand for HashTableV2::new().build(scope).
histogram_fixed_width: Shorthand for HistogramFixedWidth::new().build(values, value_range, nbins, scope).
histogram_summary: Shorthand for HistogramSummary::new().build(tag, values, scope).
host_const: Shorthand for HostConst::new().build(scope).
hsvto_rgb: Shorthand for HSVToRGB::new().build(images, scope).
identity: Shorthand for Identity::new().build(input, scope).
identity_n: Shorthand for IdentityN::new().build(input, scope).
identity_reader: Shorthand for IdentityReader::new().build(scope).
identity_reader_v2: Shorthand for IdentityReaderV2::new().build(scope).
if_: Shorthand for If::new().build(cond, input, scope).
ifft: Shorthand for IFFT::new().build(input, scope).
ifft2_d: Shorthand for IFFT2D::new().build(input, scope).
ifft3_d: Shorthand for IFFT3D::new().build(input, scope).
igamma: Shorthand for Igamma::new().build(a, x, scope).
igamma_grad_a: Shorthand for IgammaGradA::new().build(a, x, scope).
igammac: Shorthand for Igammac::new().build(a, x, scope).
ignore_errors_dataset: Shorthand for IgnoreErrorsDataset::new().build(input_dataset, scope).
imag: Shorthand for Imag::new().build(input, scope).
image_projective_transform_v2: Shorthand for ImageProjectiveTransformV2::new().build(images, transforms, output_shape, scope).
image_projective_transform_v3: Shorthand for ImageProjectiveTransformV3::new().build(images, transforms, output_shape, fill_value, scope).
image_summary: Shorthand for ImageSummary::new().build(tag, tensor, scope).
immutable_const: Shorthand for ImmutableConst::new().build(scope).
import_event: Shorthand for ImportEvent::new().build(writer, event, scope).
in_top_k: Shorthand for InTopK::new().build(predictions, targets, scope).
in_top_kv2: Shorthand for InTopKV2::new().build(predictions, targets, k, scope).
infeed_dequeue: Shorthand for InfeedDequeue::new().build(scope).
infeed_dequeue_tuple: Shorthand for InfeedDequeueTuple::new().build(scope).
infeed_enqueue: Shorthand for InfeedEnqueue::new().build(input, scope).
infeed_enqueue_prelinearized_buffer: Shorthand for InfeedEnqueuePrelinearizedBuffer::new().build(input, scope).
infeed_enqueue_tuple: Shorthand for InfeedEnqueueTuple::new().build(inputs, scope).
initialize_table: Shorthand for InitializeTable::new().build(table_handle, keys, values, scope).
initialize_table_from_dataset: Shorthand for InitializeTableFromDataset::new().build(table_handle, dataset, scope).
initialize_table_from_text_file: Shorthand for InitializeTableFromTextFile::new().build(table_handle, filename, scope).
initialize_table_from_text_file_v2: Shorthand for InitializeTableFromTextFileV2::new().build(table_handle, filename, scope).
initialize_table_v2: Shorthand for InitializeTableV2::new().build(table_handle, keys, values, scope).
inplace_add: Shorthand for InplaceAdd::new().build(x, i, v, scope).
inplace_sub: Shorthand for InplaceSub::new().build(x, i, v, scope).
inplace_update: Shorthand for InplaceUpdate::new().build(x, i, v, scope).
interleave_dataset: Shorthand for InterleaveDataset::new().build(input_dataset, other_arguments, cycle_length, block_length, scope).
inv: Shorthand for Inv::new().build(x, scope).
inv_grad: Shorthand for InvGrad::new().build(y, dy, scope).
invert: Shorthand for Invert::new().build(x, scope).
invert_permutation: Shorthand for InvertPermutation::new().build(x, scope).
irfft: Shorthand for IRFFT::new().build(input, fft_length, scope).
irfft2_d: Shorthand for IRFFT2D::new().build(input, fft_length, scope).
irfft3_d: Shorthand for IRFFT3D::new().build(input, fft_length, scope).
is_boosted_trees_ensemble_initialized: Shorthand for IsBoostedTreesEnsembleInitialized::new().build(tree_ensemble_handle, scope).
is_boosted_trees_quantile_stream_resource_initialized: Shorthand for IsBoostedTreesQuantileStreamResourceInitialized::new().build(quantile_stream_resource_handle, scope).
is_finite: Shorthand for IsFinite::new().build(x, scope).
is_inf: Shorthand for IsInf::new().build(x, scope).
is_nan: Shorthand for IsNan::new().build(x, scope).
is_tpuembedding_initialized: Shorthand for IsTPUEmbeddingInitialized::new().build(scope).
is_variable_initialized: Shorthand for IsVariableInitialized::new().build(ref_, scope).
isotonic_regression: Shorthand for IsotonicRegression::new().build(input, scope).
iterator: Shorthand for Iterator::new().build(scope).
iterator_from_string_handle: Shorthand for IteratorFromStringHandle::new().build(string_handle, scope).
iterator_from_string_handle_v2: Shorthand for IteratorFromStringHandleV2::new().build(string_handle, scope).
iterator_get_device: Shorthand for IteratorGetDevice::new().build(resource, scope).
iterator_get_next: Shorthand for IteratorGetNext::new().build(iterator, scope).
iterator_get_next_as_optional: Shorthand for IteratorGetNextAsOptional::new().build(iterator, scope).
iterator_get_next_sync: Shorthand for IteratorGetNextSync::new().build(iterator, scope).
iterator_to_string_handle: Shorthand for IteratorToStringHandle::new().build(resource_handle, scope).
iterator_v2: Shorthand for IteratorV2::new().build(scope).
kmc2_chain_initialization: Shorthand for KMC2ChainInitialization::new().build(distances, seed, scope).
kmeans_plus_plus_initialization: Shorthand for KmeansPlusPlusInitialization::new().build(points, num_to_sample, seed, num_retries_per_sample, scope).
kth_order_statistic: Shorthand for KthOrderStatistic::new().build(input, scope).
l2_loss: Shorthand for L2Loss::new().build(t, scope).
latency_stats_dataset: Shorthand for LatencyStatsDataset::new().build(input_dataset, tag, scope).
leaky_relu: Shorthand for LeakyRelu::new().build(features, scope).
leaky_relu_grad: Shorthand for LeakyReluGrad::new().build(gradients, features, scope).
learned_unigram_candidate_sampler: Shorthand for LearnedUnigramCandidateSampler::new().build(true_classes, scope).
left_shift: Shorthand for LeftShift::new().build(x, y, scope).
legacy_parallel_interleave_dataset_v2: Shorthand for LegacyParallelInterleaveDatasetV2::new().build(input_dataset, other_arguments, cycle_length, block_length, buffer_output_elements, prefetch_input_elements, scope).
less: Shorthand for Less::new().build(x, y, scope).
less_equal: Shorthand for LessEqual::new().build(x, y, scope).
lgamma: Shorthand for Lgamma::new().build(x, scope).
lin_space: Shorthand for LinSpace::new().build(start, stop, num, scope).
list_dataset: Shorthand for ListDataset::new().build(tensors, scope).
list_diff: Shorthand for ListDiff::new().build(x, y, scope).
lmdbdataset: Shorthand for LMDBDataset::new().build(filenames, scope).
lmdbreader: Shorthand for LMDBReader::new().build(scope).
load_all_tpuembedding_parameters: Shorthand for LoadAllTPUEmbeddingParameters::new().build(parameters, auxiliary1, auxiliary2, auxiliary3, auxiliary4, auxiliary5, auxiliary6, auxiliary7, scope).
load_and_remap_matrix: Shorthand for LoadAndRemapMatrix::new().build(ckpt_path, old_tensor_name, row_remapping, col_remapping, initializing_values, scope).
load_dataset: Shorthand for LoadDataset::new().build(path, reader_func_other_args, scope).
load_tpuembedding_adadelta_parameters: Shorthand for LoadTPUEmbeddingAdadeltaParameters::new().build(parameters, accumulators, updates, scope).
load_tpuembedding_adagrad_momentum_parameters: Shorthand for LoadTPUEmbeddingAdagradMomentumParameters::new().build(parameters, accumulators, momenta, scope).
load_tpuembedding_adagrad_parameters: Shorthand for LoadTPUEmbeddingAdagradParameters::new().build(parameters, accumulators, scope).
load_tpuembedding_adamparameters: Shorthand for LoadTPUEmbeddingADAMParameters::new().build(parameters, momenta, velocities, scope).
load_tpuembedding_centered_rmsprop_parameters: Shorthand for LoadTPUEmbeddingCenteredRMSPropParameters::new().build(parameters, ms, mom, mg, scope).
load_tpuembedding_frequency_estimator_parameters: Shorthand for LoadTPUEmbeddingFrequencyEstimatorParameters::new().build(parameters, last_hit_step, scope).
load_tpuembedding_ftrlparameters: Shorthand for LoadTPUEmbeddingFTRLParameters::new().build(parameters, accumulators, linears, scope).
load_tpuembedding_mdladagrad_light_parameters: Shorthand for LoadTPUEmbeddingMDLAdagradLightParameters::new().build(parameters, accumulators, weights, benefits, scope).
load_tpuembedding_momentum_parameters: Shorthand for LoadTPUEmbeddingMomentumParameters::new().build(parameters, momenta, scope).
load_tpuembedding_proximal_adagrad_parameters: Shorthand for LoadTPUEmbeddingProximalAdagradParameters::new().build(parameters, accumulators, scope).
load_tpuembedding_proximal_yogi_parameters: Shorthand for LoadTPUEmbeddingProximalYogiParameters::new().build(parameters, v, m, scope).
load_tpuembedding_rmsprop_parameters: Shorthand for LoadTPUEmbeddingRMSPropParameters::new().build(parameters, ms, mom, scope).
load_tpuembedding_stochastic_gradient_descent_parameters: Shorthand for LoadTPUEmbeddingStochasticGradientDescentParameters::new().build(parameters, scope).
log: Shorthand for Log::new().build(x, scope).
log1p: Shorthand for Log1p::new().build(x, scope).
log_matrix_determinant: Shorthand for LogMatrixDeterminant::new().build(input, scope).
log_softmax: Shorthand for LogSoftmax::new().build(logits, scope).
log_uniform_candidate_sampler: Shorthand for LogUniformCandidateSampler::new().build(true_classes, scope).
logical_and: Shorthand for LogicalAnd::new().build(x, y, scope).
logical_not: Shorthand for LogicalNot::new().build(x, scope).
logical_or: Shorthand for LogicalOr::new().build(x, y, scope).
lookup_table_export: Shorthand for LookupTableExport::new().build(table_handle, scope).
lookup_table_export_v2: Shorthand for LookupTableExportV2::new().build(table_handle, scope).
lookup_table_find: Shorthand for LookupTableFind::new().build(table_handle, keys, default_value, scope).
lookup_table_find_v2: Shorthand for LookupTableFindV2::new().build(table_handle, keys, default_value, scope).
lookup_table_import: Shorthand for LookupTableImport::new().build(table_handle, keys, values, scope).
lookup_table_import_v2: Shorthand for LookupTableImportV2::new().build(table_handle, keys, values, scope).
lookup_table_insert: Shorthand for LookupTableInsert::new().build(table_handle, keys, values, scope).
lookup_table_insert_v2: Shorthand for LookupTableInsertV2::new().build(table_handle, keys, values, scope).
lookup_table_remove_v2: Shorthand for LookupTableRemoveV2::new().build(table_handle, keys, scope).
lookup_table_size: Shorthand for LookupTableSize::new().build(table_handle, scope).
lookup_table_size_v2: Shorthand for LookupTableSizeV2::new().build(table_handle, scope).
loop_cond: Shorthand for LoopCond::new().build(input, scope).
lower_bound: Shorthand for LowerBound::new().build(sorted_inputs, values, scope).
lrn: Shorthand for LRN::new().build(input, scope).
lrngrad: Shorthand for LRNGrad::new().build(input_grads, input_image, output_image, scope).
lstmblock_cell: Shorthand for LSTMBlockCell::new().build(x, cs_prev, h_prev, w, wci, wcf, wco, b, scope).
lstmblock_cell_grad: Shorthand for LSTMBlockCellGrad::new().build(x, cs_prev, h_prev, w, wci, wcf, wco, b, i, cs, f, o, ci, co, cs_grad, h_grad, scope).
lu: Shorthand for Lu::new().build(input, scope).
make_iterator: Shorthand for MakeIterator::new().build(dataset, iterator, scope).
make_unique: Shorthand for MakeUnique::new().build(input, scope).
map_and_batch_dataset: Shorthand for MapAndBatchDataset::new().build(input_dataset, other_arguments, batch_size, num_parallel_calls, drop_remainder, scope).
map_clear: Shorthand for MapClear::new().build(scope).
map_dataset: Shorthand for MapDataset::new().build(input_dataset, other_arguments, scope).
map_defun: Shorthand for MapDefun::new().build(arguments, captured_inputs, scope).
map_incomplete_size: Shorthand for MapIncompleteSize::new().build(scope).
map_peek: Shorthand for MapPeek::new().build(key, indices, scope).
map_size: Shorthand for MapSize::new().build(scope).
map_stage: Shorthand for MapStage::new().build(key, indices, values, scope).
map_unstage: Shorthand for MapUnstage::new().build(key, indices, scope).
map_unstage_no_key: Shorthand for MapUnstageNoKey::new().build(indices, scope).
mat_mul: Shorthand for MatMul::new().build(a, b, scope).
matching_files: Shorthand for MatchingFiles::new().build(pattern, scope).
matching_files_dataset: Shorthand for MatchingFilesDataset::new().build(patterns, scope).
matrix_band_part: Shorthand for MatrixBandPart::new().build(input, num_lower, num_upper, scope).
matrix_determinant: Shorthand for MatrixDeterminant::new().build(input, scope).
matrix_diag: Shorthand for MatrixDiag::new().build(diagonal, scope).
matrix_diag_part: Shorthand for MatrixDiagPart::new().build(input, scope).
matrix_diag_part_v2: Shorthand for MatrixDiagPartV2::new().build(input, k, padding_value, scope).
matrix_diag_part_v3: Shorthand for MatrixDiagPartV3::new().build(input, k, padding_value, scope).
matrix_diag_v2: Shorthand for MatrixDiagV2::new().build(diagonal, k, num_rows, num_cols, padding_value, scope).
matrix_diag_v3: Shorthand for MatrixDiagV3::new().build(diagonal, k, num_rows, num_cols, padding_value, scope).
matrix_exponential: Shorthand for MatrixExponential::new().build(input, scope).
matrix_inverse: Shorthand for MatrixInverse::new().build(input, scope).
matrix_logarithm: Shorthand for MatrixLogarithm::new().build(input, scope).
matrix_set_diag: Shorthand for MatrixSetDiag::new().build(input, diagonal, scope).
matrix_set_diag_v2: Shorthand for MatrixSetDiagV2::new().build(input, diagonal, k, scope).
matrix_set_diag_v3: Shorthand for MatrixSetDiagV3::new().build(input, diagonal, k, scope).
matrix_solve: Shorthand for MatrixSolve::new().build(matrix, rhs, scope).
matrix_solve_ls: Shorthand for MatrixSolveLs::new().build(matrix, rhs, l2_regularizer, scope).
matrix_square_root: Shorthand for MatrixSquareRoot::new().build(input, scope).
matrix_triangular_solve: Shorthand for MatrixTriangularSolve::new().build(matrix, rhs, scope).
max: Shorthand for Max::new().build(input, reduction_indices, scope).
max_intra_op_parallelism_dataset: Shorthand for MaxIntraOpParallelismDataset::new().build(input_dataset, max_intra_op_parallelism, scope).
max_pool: Shorthand for MaxPool::new().build(input, scope).
max_pool3_d: Shorthand for MaxPool3D::new().build(input, scope).
max_pool3_dgrad: Shorthand for MaxPool3DGrad::new().build(orig_input, orig_output, grad, scope).
max_pool3_dgrad_grad: Shorthand for MaxPool3DGradGrad::new().build(orig_input, orig_output, grad, scope).
max_pool_grad: Shorthand for MaxPoolGrad::new().build(orig_input, orig_output, grad, scope).
max_pool_grad_grad: Shorthand for MaxPoolGradGrad::new().build(orig_input, orig_output, grad, scope).
max_pool_grad_grad_v2: Shorthand for MaxPoolGradGradV2::new().build(orig_input, orig_output, grad, ksize, strides, scope).
max_pool_grad_grad_with_argmax: Shorthand for MaxPoolGradGradWithArgmax::new().build(input, grad, argmax, scope).
max_pool_grad_v2: Shorthand for MaxPoolGradV2::new().build(orig_input, orig_output, grad, ksize, strides, scope).
max_pool_grad_with_argmax: Shorthand for MaxPoolGradWithArgmax::new().build(input, grad, argmax, scope).
max_pool_v2: Shorthand for MaxPoolV2::new().build(input, ksize, strides, scope).
max_pool_with_argmax: Shorthand for MaxPoolWithArgmax::new().build(input, scope).
maximum: Shorthand for Maximum::new().build(x, y, scope).
mean: Shorthand for Mean::new().build(input, reduction_indices, scope).
merge: Shorthand for Merge::new().build(inputs, scope).
merge_dedup_data: Shorthand for MergeDedupData::new().build(integer_tensor, float_tensor, scope).
merge_summary: Shorthand for MergeSummary::new().build(inputs, scope).
merge_v2_checkpoints: Shorthand for MergeV2Checkpoints::new().build(checkpoint_prefixes, destination_prefix, scope).
mfcc: Shorthand for Mfcc::new().build(spectrogram, sample_rate, scope).
min: Shorthand for Min::new().build(input, reduction_indices, scope).
minimum: Shorthand for Minimum::new().build(x, y, scope).
mirror_pad: Shorthand for MirrorPad::new().build(input, paddings, scope).
mirror_pad_grad: Shorthand for MirrorPadGrad::new().build(input, paddings, scope).
mlir_passthrough_op: Shorthand for MlirPassthroughOp::new().build(inputs, scope).
mod_: Shorthand for Mod::new().build(x, y, scope).
model_dataset: Shorthand for ModelDataset::new().build(input_dataset, scope).
mul: Shorthand for Mul::new().build(x, y, scope).
mul_no_nan: Shorthand for MulNoNan::new().build(x, y, scope).
multi_device_iterator: Shorthand for MultiDeviceIterator::new().build(scope).
multi_device_iterator_from_string_handle: Shorthand for MultiDeviceIteratorFromStringHandle::new().build(string_handle, scope).
multi_device_iterator_get_next_from_shard: Shorthand for MultiDeviceIteratorGetNextFromShard::new().build(multi_device_iterator, shard_num, incarnation_id, scope).
multi_device_iterator_init: Shorthand for MultiDeviceIteratorInit::new().build(dataset, multi_device_iterator, max_buffer_size, scope).
multi_device_iterator_to_string_handle: Shorthand for MultiDeviceIteratorToStringHandle::new().build(multi_device_iterator, scope).
multinomial: Shorthand for Multinomial::new().build(logits, num_samples, scope).
multiplyDeprecated: Shorthand for Multiply::new().build(scope), a, b).
mutable_dense_hash_table: Shorthand for MutableDenseHashTable::new().build(empty_key, scope).
mutable_dense_hash_table_v2: Shorthand for MutableDenseHashTableV2::new().build(empty_key, deleted_key, scope).
mutable_hash_table: Shorthand for MutableHashTable::new().build(scope).
mutable_hash_table_of_tensors: Shorthand for MutableHashTableOfTensors::new().build(scope).
mutable_hash_table_of_tensors_v2: Shorthand for MutableHashTableOfTensorsV2::new().build(scope).
mutable_hash_table_v2: Shorthand for MutableHashTableV2::new().build(scope).
mutex_lock: Shorthand for MutexLock::new().build(mutex, scope).
mutex_v2: Shorthand for MutexV2::new().build(scope).
nccl_all_reduce: Shorthand for NcclAllReduce::new().build(input, scope).
nccl_broadcast: Shorthand for NcclBroadcast::new().build(input, scope).
nccl_reduce: Shorthand for NcclReduce::new().build(input, scope).
ndtri: Shorthand for Ndtri::new().build(x, scope).
nearest_neighbors: Shorthand for NearestNeighbors::new().build(points, centers, k, scope).
neg: Shorthand for Neg::new().build(x, scope).
neg_train: Shorthand for NegTrain::new().build(w_in, w_out, examples, labels, lr, scope).
next_after: Shorthand for NextAfter::new().build(x1, x2, scope).
next_iteration: Shorthand for NextIteration::new().build(data, scope).
no_op: Shorthand for NoOp::new().build(scope).
non_deterministic_ints: Shorthand for NonDeterministicInts::new().build(shape, scope).
non_max_suppression: Shorthand for NonMaxSuppression::new().build(boxes, scores, max_output_size, scope).
non_max_suppression_v2: Shorthand for NonMaxSuppressionV2::new().build(boxes, scores, max_output_size, iou_threshold, scope).
non_max_suppression_v3: Shorthand for NonMaxSuppressionV3::new().build(boxes, scores, max_output_size, iou_threshold, score_threshold, scope).
non_max_suppression_v4: Shorthand for NonMaxSuppressionV4::new().build(boxes, scores, max_output_size, iou_threshold, score_threshold, scope).
non_max_suppression_v5: Shorthand for NonMaxSuppressionV5::new().build(boxes, scores, max_output_size, iou_threshold, score_threshold, soft_nms_sigma, scope).
non_max_suppression_with_overlaps: Shorthand for NonMaxSuppressionWithOverlaps::new().build(overlaps, scores, max_output_size, overlap_threshold, score_threshold, scope).
non_serializable_dataset: Shorthand for NonSerializableDataset::new().build(input_dataset, scope).
not_equal: Shorthand for NotEqual::new().build(x, y, scope).
nth_element: Shorthand for NthElement::new().build(input, n, scope).
one_hot: Shorthand for OneHot::new().build(indices, depth, on_value, off_value, scope).
one_shot_iterator: Shorthand for OneShotIterator::new().build(scope).
ones_like: Shorthand for OnesLike::new().build(x, scope).
optimize_dataset: Shorthand for OptimizeDataset::new().build(input_dataset, optimizations, scope).
optimize_dataset_v2: Shorthand for OptimizeDatasetV2::new().build(input_dataset, optimizations_enabled, optimizations_disabled, optimizations_default, scope).
optional_from_value: Shorthand for OptionalFromValue::new().build(components, scope).
optional_get_value: Shorthand for OptionalGetValue::new().build(optional, scope).
optional_has_value: Shorthand for OptionalHasValue::new().build(optional, scope).
optional_none: Shorthand for OptionalNone::new().build(scope).
options_dataset: Shorthand for OptionsDataset::new().build(input_dataset, scope).
ordered_map_clear: Shorthand for OrderedMapClear::new().build(scope).
ordered_map_incomplete_size: Shorthand for OrderedMapIncompleteSize::new().build(scope).
ordered_map_peek: Shorthand for OrderedMapPeek::new().build(key, indices, scope).
ordered_map_size: Shorthand for OrderedMapSize::new().build(scope).
ordered_map_stage: Shorthand for OrderedMapStage::new().build(key, indices, values, scope).
ordered_map_unstage: Shorthand for OrderedMapUnstage::new().build(key, indices, scope).
ordered_map_unstage_no_key: Shorthand for OrderedMapUnstageNoKey::new().build(indices, scope).
outfeed_dequeue: Shorthand for OutfeedDequeue::new().build(scope).
outfeed_dequeue_tuple: Shorthand for OutfeedDequeueTuple::new().build(scope).
outfeed_dequeue_tuple_v2: Shorthand for OutfeedDequeueTupleV2::new().build(device_ordinal, scope).
outfeed_dequeue_v2: Shorthand for OutfeedDequeueV2::new().build(device_ordinal, scope).
outfeed_enqueue: Shorthand for OutfeedEnqueue::new().build(input, scope).
outfeed_enqueue_tuple: Shorthand for OutfeedEnqueueTuple::new().build(inputs, scope).
pack: Shorthand for Pack::new().build(values, scope).
pad: Shorthand for Pad::new().build(input, paddings, scope).
pad_v2: Shorthand for PadV2::new().build(input, paddings, constant_values, scope).
padded_batch_dataset: Shorthand for PaddedBatchDataset::new().build(input_dataset, batch_size, padded_shapes, padding_values, scope).
padded_batch_dataset_v2: Shorthand for PaddedBatchDatasetV2::new().build(input_dataset, batch_size, padded_shapes, padding_values, drop_remainder, scope).
padding_fifoqueue: Shorthand for PaddingFIFOQueue::new().build(scope).
padding_fifoqueue_v2: Shorthand for PaddingFIFOQueueV2::new().build(scope).
parallel_batch_dataset: Shorthand for ParallelBatchDataset::new().build(input_dataset, batch_size, num_parallel_calls, drop_remainder, scope).
parallel_concat: Shorthand for ParallelConcat::new().build(values, scope).
parallel_dynamic_stitch: Shorthand for ParallelDynamicStitch::new().build(indices, data, scope).
parallel_filter_dataset: Shorthand for ParallelFilterDataset::new().build(input_dataset, other_arguments, num_parallel_calls, scope).
parallel_interleave_dataset: Shorthand for ParallelInterleaveDataset::new().build(input_dataset, other_arguments, cycle_length, block_length, sloppy, buffer_output_elements, prefetch_input_elements, scope).
parallel_interleave_dataset_v2: Shorthand for ParallelInterleaveDatasetV2::new().build(input_dataset, other_arguments, cycle_length, block_length, num_parallel_calls, scope).
parallel_interleave_dataset_v3: Shorthand for ParallelInterleaveDatasetV3::new().build(input_dataset, other_arguments, cycle_length, block_length, num_parallel_calls, scope).
parallel_interleave_dataset_v4: Shorthand for ParallelInterleaveDatasetV4::new().build(input_dataset, other_arguments, cycle_length, block_length, buffer_output_elements, prefetch_input_elements, num_parallel_calls, scope).
parallel_map_dataset: Shorthand for ParallelMapDataset::new().build(input_dataset, other_arguments, num_parallel_calls, scope).
parallel_map_dataset_v2: Shorthand for ParallelMapDatasetV2::new().build(input_dataset, other_arguments, num_parallel_calls, scope).
parameterized_truncated_normal: Shorthand for ParameterizedTruncatedNormal::new().build(shape, means, stdevs, minvals, maxvals, scope).
parse_example: Shorthand for ParseExample::new().build(serialized, names, sparse_keys, dense_keys, dense_defaults, scope).
parse_example_dataset: Shorthand for ParseExampleDataset::new().build(input_dataset, num_parallel_calls, dense_defaults, scope).
parse_example_dataset_v2: Shorthand for ParseExampleDatasetV2::new().build(input_dataset, num_parallel_calls, dense_defaults, scope).
parse_example_v2: Shorthand for ParseExampleV2::new().build(serialized, names, sparse_keys, dense_keys, ragged_keys, dense_defaults, scope).
parse_sequence_example: Shorthand for ParseSequenceExample::new().build(serialized, debug_name, context_dense_defaults, scope).
parse_sequence_example_v2: Shorthand for ParseSequenceExampleV2::new().build(serialized, debug_name, context_sparse_keys, context_dense_keys, context_ragged_keys, feature_list_sparse_keys, feature_list_dense_keys, feature_list_ragged_keys, feature_list_dense_missing_assumed_empty, context_dense_defaults, scope).
parse_single_example: Shorthand for ParseSingleExample::new().build(serialized, dense_defaults, scope).
parse_single_sequence_example: Shorthand for ParseSingleSequenceExample::new().build(serialized, feature_list_dense_missing_assumed_empty, context_sparse_keys, context_dense_keys, feature_list_sparse_keys, feature_list_dense_keys, context_dense_defaults, debug_name, scope).
parse_tensor: Shorthand for ParseTensor::new().build(serialized, scope).
partitioned_call: Shorthand for PartitionedCall::new().build(args, scope).
placeholder: Shorthand for Placeholder::new().build(scope).
placeholder_v2: Shorthand for PlaceholderV2::new().build(scope).
placeholder_with_default: Shorthand for PlaceholderWithDefault::new().build(input, scope).
polygamma: Shorthand for Polygamma::new().build(a, x, scope).
population_count: Shorthand for PopulationCount::new().build(x, scope).
pow: Shorthand for Pow::new().build(x, y, scope).
prefetch_dataset: Shorthand for PrefetchDataset::new().build(input_dataset, buffer_size, scope).
prelinearize: Shorthand for Prelinearize::new().build(input, scope).
prelinearize_tuple: Shorthand for PrelinearizeTuple::new().build(inputs, scope).
prevent_gradient: Shorthand for PreventGradient::new().build(input, scope).
print: Shorthand for Print::new().build(input, data, scope).
print_v2: Shorthand for PrintV2::new().build(input, scope).
priority_queue: Shorthand for PriorityQueue::new().build(scope).
priority_queue_v2: Shorthand for PriorityQueueV2::new().build(scope).
private_thread_pool_dataset: Shorthand for PrivateThreadPoolDataset::new().build(input_dataset, num_threads, scope).
prod: Shorthand for Prod::new().build(input, reduction_indices, scope).
py_func: Shorthand for PyFunc::new().build(input, scope).
py_func_stateless: Shorthand for PyFuncStateless::new().build(input, scope).
qr: Shorthand for Qr::new().build(input, scope).
quantize_and_dequantize: Shorthand for QuantizeAndDequantize::new().build(input, scope).
quantize_and_dequantize_v2: Shorthand for QuantizeAndDequantizeV2::new().build(input, input_min, input_max, scope).
quantize_and_dequantize_v3: Shorthand for QuantizeAndDequantizeV3::new().build(input, input_min, input_max, num_bits, scope).
quantize_and_dequantize_v4: Shorthand for QuantizeAndDequantizeV4::new().build(input, input_min, input_max, scope).
quantize_and_dequantize_v4_grad: Shorthand for QuantizeAndDequantizeV4Grad::new().build(gradients, input, input_min, input_max, scope).
quantize_down_and_shrink_range: Shorthand for QuantizeDownAndShrinkRange::new().build(input, input_min, input_max, scope).
quantize_v2: Shorthand for QuantizeV2::new().build(input, min_range, max_range, scope).
quantized_add: Shorthand for QuantizedAdd::new().build(x, y, min_x, max_x, min_y, max_y, scope).
quantized_avg_pool: Shorthand for QuantizedAvgPool::new().build(input, min_input, max_input, scope).
quantized_batch_norm_with_global_normalization: Shorthand for QuantizedBatchNormWithGlobalNormalization::new().build(t, t_min, t_max, m, m_min, m_max, v, v_min, v_max, beta, beta_min, beta_max, gamma, gamma_min, gamma_max, scope).
quantized_bias_add: Shorthand for QuantizedBiasAdd::new().build(input, bias, min_input, max_input, min_bias, max_bias, scope).
quantized_concat: Shorthand for QuantizedConcat::new().build(concat_dim, values, input_mins, input_maxes, scope).
quantized_conv2_d: Shorthand for QuantizedConv2D::new().build(input, filter, min_input, max_input, min_filter, max_filter, scope).
quantized_conv2_dand_relu: Shorthand for QuantizedConv2DAndRelu::new().build(input, filter, min_input, max_input, min_filter, max_filter, scope).
quantized_conv2_dand_relu_and_requantize: Shorthand for QuantizedConv2DAndReluAndRequantize::new().build(input, filter, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, scope).
quantized_conv2_dand_requantize: Shorthand for QuantizedConv2DAndRequantize::new().build(input, filter, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, scope).
quantized_conv2_dper_channel: Shorthand for QuantizedConv2DPerChannel::new().build(input, filter, min_input, max_input, min_filter, max_filter, scope).
quantized_conv2_dwith_bias: Shorthand for QuantizedConv2DWithBias::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, scope).
quantized_conv2_dwith_bias_and_relu: Shorthand for QuantizedConv2DWithBiasAndRelu::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, scope).
quantized_conv2_dwith_bias_and_relu_and_requantize: Shorthand for QuantizedConv2DWithBiasAndReluAndRequantize::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, scope).
quantized_conv2_dwith_bias_and_requantize: Shorthand for QuantizedConv2DWithBiasAndRequantize::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, scope).
quantized_conv2_dwith_bias_signed_sum_and_relu_and_requantize: Shorthand for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, summand, min_summand, max_summand, scope).
quantized_conv2_dwith_bias_sum_and_relu: Shorthand for QuantizedConv2DWithBiasSumAndRelu::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, summand, scope).
quantized_conv2_dwith_bias_sum_and_relu_and_requantize: Shorthand for QuantizedConv2DWithBiasSumAndReluAndRequantize::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, summand, min_summand, max_summand, scope).
quantized_depthwise_conv2_d: Shorthand for QuantizedDepthwiseConv2D::new().build(input, filter, min_input, max_input, min_filter, max_filter, scope).
quantized_depthwise_conv2_dwith_bias: Shorthand for QuantizedDepthwiseConv2DWithBias::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, scope).
quantized_depthwise_conv2_dwith_bias_and_relu: Shorthand for QuantizedDepthwiseConv2DWithBiasAndRelu::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, scope).
quantized_depthwise_conv2_dwith_bias_and_relu_and_requantize: Shorthand for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize::new().build(input, filter, bias, min_input, max_input, min_filter, max_filter, min_freezed_output, max_freezed_output, scope).
quantized_instance_norm: Shorthand for QuantizedInstanceNorm::new().build(x, x_min, x_max, scope).
quantized_mat_mul: Shorthand for QuantizedMatMul::new().build(a, b, min_a, max_a, min_b, max_b, scope).
quantized_mat_mul_with_bias: Shorthand for QuantizedMatMulWithBias::new().build(a, b, bias, min_a, max_a, min_b, max_b, scope).
quantized_mat_mul_with_bias_and_dequantize: Shorthand for QuantizedMatMulWithBiasAndDequantize::new().build(a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_output, scope).
quantized_mat_mul_with_bias_and_relu: Shorthand for QuantizedMatMulWithBiasAndRelu::new().build(a, b, bias, min_a, max_a, min_b, max_b, scope).
quantized_mat_mul_with_bias_and_relu_and_requantize: Shorthand for QuantizedMatMulWithBiasAndReluAndRequantize::new().build(a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_output, scope).
quantized_mat_mul_with_bias_and_requantize: Shorthand for QuantizedMatMulWithBiasAndRequantize::new().build(a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_output, scope).
quantized_max_pool: Shorthand for QuantizedMaxPool::new().build(input, min_input, max_input, scope).
quantized_mul: Shorthand for QuantizedMul::new().build(x, y, min_x, max_x, min_y, max_y, scope).
quantized_relu: Shorthand for QuantizedRelu::new().build(features, min_features, max_features, scope).
quantized_relu6: Shorthand for QuantizedRelu6::new().build(features, min_features, max_features, scope).
quantized_relu_x: Shorthand for QuantizedReluX::new().build(features, max_value, min_features, max_features, scope).
quantized_reshape: Shorthand for QuantizedReshape::new().build(tensor, shape, input_min, input_max, scope).
quantized_resize_bilinear: Shorthand for QuantizedResizeBilinear::new().build(images, size, min, max, scope).
queue_close: Shorthand for QueueClose::new().build(handle, scope).
queue_close_v2: Shorthand for QueueCloseV2::new().build(handle, scope).
queue_dequeue: Shorthand for QueueDequeue::new().build(handle, scope).
queue_dequeue_many: Shorthand for QueueDequeueMany::new().build(handle, n, scope).
queue_dequeue_many_v2: Shorthand for QueueDequeueManyV2::new().build(handle, n, scope).
queue_dequeue_up_to: Shorthand for QueueDequeueUpTo::new().build(handle, n, scope).
queue_dequeue_up_to_v2: Shorthand for QueueDequeueUpToV2::new().build(handle, n, scope).
queue_dequeue_v2: Shorthand for QueueDequeueV2::new().build(handle, scope).
queue_enqueue: Shorthand for QueueEnqueue::new().build(handle, components, scope).
queue_enqueue_many: Shorthand for QueueEnqueueMany::new().build(handle, components, scope).
queue_enqueue_many_v2: Shorthand for QueueEnqueueManyV2::new().build(handle, components, scope).
queue_enqueue_v2: Shorthand for QueueEnqueueV2::new().build(handle, components, scope).
queue_is_closed: Shorthand for QueueIsClosed::new().build(handle, scope).
queue_is_closed_v2: Shorthand for QueueIsClosedV2::new().build(handle, scope).
queue_size: Shorthand for QueueSize::new().build(handle, scope).
queue_size_v2: Shorthand for QueueSizeV2::new().build(handle, scope).
ragged_bincount: Shorthand for RaggedBincount::new().build(splits, values, size, weights, scope).
ragged_count_sparse_output: Shorthand for RaggedCountSparseOutput::new().build(splits, values, weights, scope).
ragged_cross: Shorthand for RaggedCross::new().build(ragged_values, ragged_row_splits, sparse_indices, sparse_values, sparse_shape, dense_inputs, scope).
ragged_fill_empty_rows: Shorthand for RaggedFillEmptyRows::new().build(value_rowids, values, nrows, default_value, scope).
ragged_fill_empty_rows_grad: Shorthand for RaggedFillEmptyRowsGrad::new().build(reverse_index_map, grad_values, scope).
ragged_gather: Shorthand for RaggedGather::new().build(params_nested_splits, params_dense_values, indices, scope).
ragged_range: Shorthand for RaggedRange::new().build(starts, limits, deltas, scope).
ragged_tensor_from_variant: Shorthand for RaggedTensorFromVariant::new().build(encoded_ragged, scope).
ragged_tensor_to_sparse: Shorthand for RaggedTensorToSparse::new().build(rt_nested_splits, rt_dense_values, scope).
ragged_tensor_to_tensor: Shorthand for RaggedTensorToTensor::new().build(shape, values, default_value, row_partition_tensors, scope).
ragged_tensor_to_variant: Shorthand for RaggedTensorToVariant::new().build(rt_nested_splits, rt_dense_values, scope).
ragged_tensor_to_variant_gradient: Shorthand for RaggedTensorToVariantGradient::new().build(encoded_ragged_grad, row_splits, dense_values_shape, scope).
random_crop: Shorthand for RandomCrop::new().build(image, size, scope).
random_dataset: Shorthand for RandomDataset::new().build(seed, seed2, scope).
random_dataset_v2: Shorthand for RandomDatasetV2::new().build(seed, seed2, seed_generator, scope).
random_gamma: Shorthand for RandomGamma::new().build(shape, alpha, scope).
random_gamma_grad: Shorthand for RandomGammaGrad::new().build(alpha, sample, scope).
random_index_shuffle: Shorthand for RandomIndexShuffle::new().build(index, seed, max_index, scope).
random_normalDeprecated: Shorthand for RandomNormal::new().build(scope), x).
random_poisson: Shorthand for RandomPoisson::new().build(shape, rate, scope).
random_poisson_v2: Shorthand for RandomPoissonV2::new().build(shape, rate, scope).
random_shuffle: Shorthand for RandomShuffle::new().build(value, scope).
random_shuffle_queue: Shorthand for RandomShuffleQueue::new().build(scope).
random_shuffle_queue_v2: Shorthand for RandomShuffleQueueV2::new().build(scope).
random_standard_normal: Shorthand for RandomStandardNormal::new().build(shape, scope).
random_uniform: Shorthand for RandomUniform::new().build(shape, scope).
random_uniform_int: Shorthand for RandomUniformInt::new().build(shape, minval, maxval, scope).
range: Shorthand for Range::new().build(start, limit, delta, scope).
range_dataset: Shorthand for RangeDataset::new().build(start, stop, step, scope).
rank: Shorthand for Rank::new().build(input, scope).
read_file: Shorthand for ReadFile::new().build(filename, scope).
read_variable_op: Shorthand for ReadVariableOp::new().build(resource, scope).
read_variable_xla_split_nd: Shorthand for ReadVariableXlaSplitND::new().build(resource, scope).
reader_num_records_produced: Shorthand for ReaderNumRecordsProduced::new().build(reader_handle, scope).
reader_num_records_produced_v2: Shorthand for ReaderNumRecordsProducedV2::new().build(reader_handle, scope).
reader_num_work_units_completed: Shorthand for ReaderNumWorkUnitsCompleted::new().build(reader_handle, scope).
reader_num_work_units_completed_v2: Shorthand for ReaderNumWorkUnitsCompletedV2::new().build(reader_handle, scope).
reader_read: Shorthand for ReaderRead::new().build(reader_handle, queue_handle, scope).
reader_read_up_to: Shorthand for ReaderReadUpTo::new().build(reader_handle, queue_handle, num_records, scope).
reader_read_up_to_v2: Shorthand for ReaderReadUpToV2::new().build(reader_handle, queue_handle, num_records, scope).
reader_read_v2: Shorthand for ReaderReadV2::new().build(reader_handle, queue_handle, scope).
reader_reset: Shorthand for ReaderReset::new().build(reader_handle, scope).
reader_reset_v2: Shorthand for ReaderResetV2::new().build(reader_handle, scope).
reader_restore_state: Shorthand for ReaderRestoreState::new().build(reader_handle, state, scope).
reader_restore_state_v2: Shorthand for ReaderRestoreStateV2::new().build(reader_handle, state, scope).
reader_serialize_state: Shorthand for ReaderSerializeState::new().build(reader_handle, scope).
reader_serialize_state_v2: Shorthand for ReaderSerializeStateV2::new().build(reader_handle, scope).
real: Shorthand for Real::new().build(input, scope).
real_div: Shorthand for RealDiv::new().build(x, y, scope).
rebatch_dataset: Shorthand for RebatchDataset::new().build(input_dataset, num_replicas, scope).
rebatch_dataset_v2: Shorthand for RebatchDatasetV2::new().build(input_dataset, batch_sizes, drop_remainder, scope).
reciprocal: Shorthand for Reciprocal::new().build(x, scope).
reciprocal_grad: Shorthand for ReciprocalGrad::new().build(y, dy, scope).
record_input: Shorthand for RecordInput::new().build(scope).
recv: Shorthand for Recv::new().build(scope).
recv_tpuembedding_activations: Shorthand for RecvTPUEmbeddingActivations::new().build(scope).
reduce_dataset: Shorthand for ReduceDataset::new().build(input_dataset, initial_state, other_arguments, scope).
reduce_join: Shorthand for ReduceJoin::new().build(inputs, reduction_indices, scope).
ref_enter: Shorthand for RefEnter::new().build(data, scope).
ref_exit: Shorthand for RefExit::new().build(data, scope).
ref_identity: Shorthand for RefIdentity::new().build(input, scope).
ref_merge: Shorthand for RefMerge::new().build(inputs, scope).
ref_next_iteration: Shorthand for RefNextIteration::new().build(data, scope).
ref_select: Shorthand for RefSelect::new().build(index, inputs, scope).
ref_switch: Shorthand for RefSwitch::new().build(data, pred, scope).
regex_full_match: Shorthand for RegexFullMatch::new().build(input, pattern, scope).
regex_replace: Shorthand for RegexReplace::new().build(input, pattern, rewrite, scope).
register_dataset: Shorthand for RegisterDataset::new().build(dataset, address, protocol, scope).
register_dataset_v2: Shorthand for RegisterDatasetV2::new().build(dataset, address, protocol, scope).
relayout: Shorthand for Relayout::new().build(input, scope).
relayout_grad: Shorthand for RelayoutGrad::new().build(input, forward_input, scope).
relu: Shorthand for Relu::new().build(features, scope).
relu6: Shorthand for Relu6::new().build(features, scope).
relu6_grad: Shorthand for Relu6Grad::new().build(gradients, features, scope).
relu_grad: Shorthand for ReluGrad::new().build(gradients, features, scope).
remote_call: Shorthand for RemoteCall::new().build(target, args, scope).
repeat_dataset: Shorthand for RepeatDataset::new().build(input_dataset, count, scope).
requantization_range: Shorthand for RequantizationRange::new().build(input, input_min, input_max, scope).
requantization_range_per_channel: Shorthand for RequantizationRangePerChannel::new().build(input, input_min, input_max, scope).
requantize: Shorthand for Requantize::new().build(input, input_min, input_max, requested_output_min, requested_output_max, scope).
requantize_per_channel: Shorthand for RequantizePerChannel::new().build(input, input_min, input_max, requested_output_min, requested_output_max, scope).
reshape: Shorthand for Reshape::new().build(tensor, shape, scope).
resize_area: Shorthand for ResizeArea::new().build(images, size, scope).
resize_bicubic: Shorthand for ResizeBicubic::new().build(images, size, scope).
resize_bicubic_grad: Shorthand for ResizeBicubicGrad::new().build(grads, original_image, scope).
resize_bilinear: Shorthand for ResizeBilinear::new().build(images, size, scope).
resize_bilinear_grad: Shorthand for ResizeBilinearGrad::new().build(grads, original_image, scope).
resize_nearest_neighbor: Shorthand for ResizeNearestNeighbor::new().build(images, size, scope).
resize_nearest_neighbor_grad: Shorthand for ResizeNearestNeighborGrad::new().build(grads, size, scope).
resource_accumulator_apply_gradient: Shorthand for ResourceAccumulatorApplyGradient::new().build(handle, local_step, gradient, scope).
resource_accumulator_num_accumulated: Shorthand for ResourceAccumulatorNumAccumulated::new().build(handle, scope).
resource_accumulator_set_global_step: Shorthand for ResourceAccumulatorSetGlobalStep::new().build(handle, new_global_step, scope).
resource_accumulator_take_gradient: Shorthand for ResourceAccumulatorTakeGradient::new().build(handle, num_required, scope).
resource_apply_ada_max: Shorthand for ResourceApplyAdaMax::new().build(var, m, v, beta1_power, lr, beta1, beta2, epsilon, grad, scope).
resource_apply_adadelta: Shorthand for ResourceApplyAdadelta::new().build(var, accum, accum_update, lr, rho, epsilon, grad, scope).
resource_apply_adagrad: Shorthand for ResourceApplyAdagrad::new().build(var, accum, lr, grad, scope).
resource_apply_adagrad_da: Shorthand for ResourceApplyAdagradDA::new().build(var, gradient_accumulator, gradient_squared_accumulator, grad, lr, l1, l2, global_step, scope).
resource_apply_adagrad_v2: Shorthand for ResourceApplyAdagradV2::new().build(var, accum, lr, epsilon, grad, scope).
resource_apply_adam: Shorthand for ResourceApplyAdam::new().build(var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad, scope).
resource_apply_adam_with_amsgrad: Shorthand for ResourceApplyAdamWithAmsgrad::new().build(var, m, v, vhat, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad, scope).
resource_apply_add_sign: Shorthand for ResourceApplyAddSign::new().build(var, m, lr, alpha, sign_decay, beta, grad, scope).
resource_apply_centered_rmsprop: Shorthand for ResourceApplyCenteredRMSProp::new().build(var, mg, ms, mom, lr, rho, momentum, epsilon, grad, scope).
resource_apply_ftrl: Shorthand for ResourceApplyFtrl::new().build(var, accum, linear, grad, lr, l1, l2, lr_power, scope).
resource_apply_ftrl_v2: Shorthand for ResourceApplyFtrlV2::new().build(var, accum, linear, grad, lr, l1, l2, l2_shrinkage, lr_power, scope).
resource_apply_gradient_descent: Shorthand for ResourceApplyGradientDescent::new().build(var, alpha, delta, scope).
resource_apply_keras_momentum: Shorthand for ResourceApplyKerasMomentum::new().build(var, accum, lr, grad, momentum, scope).
resource_apply_momentum: Shorthand for ResourceApplyMomentum::new().build(var, accum, lr, grad, momentum, scope).
resource_apply_power_sign: Shorthand for ResourceApplyPowerSign::new().build(var, m, lr, logbase, sign_decay, beta, grad, scope).
resource_apply_proximal_adagrad: Shorthand for ResourceApplyProximalAdagrad::new().build(var, accum, lr, l1, l2, grad, scope).
resource_apply_proximal_gradient_descent: Shorthand for ResourceApplyProximalGradientDescent::new().build(var, alpha, l1, l2, delta, scope).
resource_apply_rmsprop: Shorthand for ResourceApplyRMSProp::new().build(var, ms, mom, lr, rho, momentum, epsilon, grad, scope).
resource_conditional_accumulator: Shorthand for ResourceConditionalAccumulator::new().build(scope).
resource_count_up_to: Shorthand for ResourceCountUpTo::new().build(resource, scope).
resource_gather: Shorthand for ResourceGather::new().build(resource, indices, scope).
resource_gather_nd: Shorthand for ResourceGatherNd::new().build(resource, indices, scope).
resource_scatter_add: Shorthand for ResourceScatterAdd::new().build(resource, indices, updates, scope).
resource_scatter_div: Shorthand for ResourceScatterDiv::new().build(resource, indices, updates, scope).
resource_scatter_max: Shorthand for ResourceScatterMax::new().build(resource, indices, updates, scope).
resource_scatter_min: Shorthand for ResourceScatterMin::new().build(resource, indices, updates, scope).
resource_scatter_mul: Shorthand for ResourceScatterMul::new().build(resource, indices, updates, scope).
resource_scatter_nd_add: Shorthand for ResourceScatterNdAdd::new().build(ref_, indices, updates, scope).
resource_scatter_nd_max: Shorthand for ResourceScatterNdMax::new().build(ref_, indices, updates, scope).
resource_scatter_nd_min: Shorthand for ResourceScatterNdMin::new().build(ref_, indices, updates, scope).
resource_scatter_nd_sub: Shorthand for ResourceScatterNdSub::new().build(ref_, indices, updates, scope).
resource_scatter_nd_update: Shorthand for ResourceScatterNdUpdate::new().build(ref_, indices, updates, scope).
resource_scatter_sub: Shorthand for ResourceScatterSub::new().build(resource, indices, updates, scope).
resource_scatter_update: Shorthand for ResourceScatterUpdate::new().build(resource, indices, updates, scope).
resource_sparse_apply_adadelta: Shorthand for ResourceSparseApplyAdadelta::new().build(var, accum, accum_update, lr, rho, epsilon, grad, indices, scope).
resource_sparse_apply_adagrad: Shorthand for ResourceSparseApplyAdagrad::new().build(var, accum, lr, grad, indices, scope).
resource_sparse_apply_adagrad_da: Shorthand for ResourceSparseApplyAdagradDA::new().build(var, gradient_accumulator, gradient_squared_accumulator, grad, indices, lr, l1, l2, global_step, scope).
resource_sparse_apply_adagrad_v2: Shorthand for ResourceSparseApplyAdagradV2::new().build(var, accum, lr, epsilon, grad, indices, scope).
resource_sparse_apply_centered_rmsprop: Shorthand for ResourceSparseApplyCenteredRMSProp::new().build(var, mg, ms, mom, lr, rho, momentum, epsilon, grad, indices, scope).
resource_sparse_apply_ftrl: Shorthand for ResourceSparseApplyFtrl::new().build(var, accum, linear, grad, indices, lr, l1, l2, lr_power, scope).
resource_sparse_apply_ftrl_v2: Shorthand for ResourceSparseApplyFtrlV2::new().build(var, accum, linear, grad, indices, lr, l1, l2, l2_shrinkage, lr_power, scope).
resource_sparse_apply_keras_momentum: Shorthand for ResourceSparseApplyKerasMomentum::new().build(var, accum, lr, grad, indices, momentum, scope).
resource_sparse_apply_momentum: Shorthand for ResourceSparseApplyMomentum::new().build(var, accum, lr, grad, indices, momentum, scope).
resource_sparse_apply_proximal_adagrad: Shorthand for ResourceSparseApplyProximalAdagrad::new().build(var, accum, lr, l1, l2, grad, indices, scope).
resource_sparse_apply_proximal_gradient_descent: Shorthand for ResourceSparseApplyProximalGradientDescent::new().build(var, alpha, l1, l2, grad, indices, scope).
resource_sparse_apply_rmsprop: Shorthand for ResourceSparseApplyRMSProp::new().build(var, ms, mom, lr, rho, momentum, epsilon, grad, indices, scope).
resource_strided_slice_assign: Shorthand for ResourceStridedSliceAssign::new().build(ref_, begin, end, strides, value, scope).
restore: Shorthand for Restore::new().build(file_pattern, tensor_name, scope).
restore_slice: Shorthand for RestoreSlice::new().build(file_pattern, tensor_name, shape_and_slice, scope).
restore_v2: Shorthand for RestoreV2::new().build(prefix, tensor_names, shape_and_slices, scope).
retrieve_all_tpuembedding_parameters: Shorthand for RetrieveAllTPUEmbeddingParameters::new().build(scope).
retrieve_tpuembedding_adadelta_parameters: Shorthand for RetrieveTPUEmbeddingAdadeltaParameters::new().build(scope).
retrieve_tpuembedding_adagrad_momentum_parameters: Shorthand for RetrieveTPUEmbeddingAdagradMomentumParameters::new().build(scope).
retrieve_tpuembedding_adagrad_parameters: Shorthand for RetrieveTPUEmbeddingAdagradParameters::new().build(scope).
retrieve_tpuembedding_adamparameters: Shorthand for RetrieveTPUEmbeddingADAMParameters::new().build(scope).
retrieve_tpuembedding_centered_rmsprop_parameters: Shorthand for RetrieveTPUEmbeddingCenteredRMSPropParameters::new().build(scope).
retrieve_tpuembedding_frequency_estimator_parameters: Shorthand for RetrieveTPUEmbeddingFrequencyEstimatorParameters::new().build(scope).
retrieve_tpuembedding_ftrlparameters: Shorthand for RetrieveTPUEmbeddingFTRLParameters::new().build(scope).
retrieve_tpuembedding_mdladagrad_light_parameters: Shorthand for RetrieveTPUEmbeddingMDLAdagradLightParameters::new().build(scope).
retrieve_tpuembedding_momentum_parameters: Shorthand for RetrieveTPUEmbeddingMomentumParameters::new().build(scope).
retrieve_tpuembedding_proximal_adagrad_parameters: Shorthand for RetrieveTPUEmbeddingProximalAdagradParameters::new().build(scope).
retrieve_tpuembedding_proximal_yogi_parameters: Shorthand for RetrieveTPUEmbeddingProximalYogiParameters::new().build(scope).
retrieve_tpuembedding_rmsprop_parameters: Shorthand for RetrieveTPUEmbeddingRMSPropParameters::new().build(scope).
retrieve_tpuembedding_stochastic_gradient_descent_parameters: Shorthand for RetrieveTPUEmbeddingStochasticGradientDescentParameters::new().build(scope).
reverse: Shorthand for Reverse::new().build(tensor, dims, scope).
reverse_sequence: Shorthand for ReverseSequence::new().build(input, seq_lengths, scope).
reverse_v2: Shorthand for ReverseV2::new().build(tensor, axis, scope).
rewrite_dataset: Shorthand for RewriteDataset::new().build(input_dataset, rewrite_name, scope).
rfft: Shorthand for RFFT::new().build(input, fft_length, scope).
rfft2_d: Shorthand for RFFT2D::new().build(input, fft_length, scope).
rfft3_d: Shorthand for RFFT3D::new().build(input, fft_length, scope).
rgbto_hsv: Shorthand for RGBToHSV::new().build(images, scope).
right_shift: Shorthand for RightShift::new().build(x, y, scope).
rint: Shorthand for Rint::new().build(x, scope).
risc_abs: Shorthand for RiscAbs::new().build(x, scope).
risc_add: Shorthand for RiscAdd::new().build(x, y, scope).
risc_binary_arithmetic: Shorthand for RiscBinaryArithmetic::new().build(x, y, scope).
risc_binary_comparison: Shorthand for RiscBinaryComparison::new().build(x, y, scope).
risc_bitcast: Shorthand for RiscBitcast::new().build(x, scope).
risc_broadcast: Shorthand for RiscBroadcast::new().build(input, shape, scope).
risc_cast: Shorthand for RiscCast::new().build(x, scope).
risc_ceil: Shorthand for RiscCeil::new().build(x, scope).
risc_cholesky: Shorthand for RiscCholesky::new().build(input, scope).
risc_concat: Shorthand for RiscConcat::new().build(values, axis, scope).
risc_condition: Shorthand for RiscCondition::new().build(pred, input_true, input_false, scope).
risc_conv: Shorthand for RiscConv::new().build(input, filter, scope).
risc_cos: Shorthand for RiscCos::new().build(x, scope).
risc_div: Shorthand for RiscDiv::new().build(x, y, scope).
risc_dot: Shorthand for RiscDot::new().build(a, b, scope).
risc_exp: Shorthand for RiscExp::new().build(x, scope).
risc_fft: Shorthand for RiscFft::new().build(input, scope).
risc_floor: Shorthand for RiscFloor::new().build(x, scope).
risc_gather: Shorthand for RiscGather::new().build(params, indices, axis, scope).
risc_imag: Shorthand for RiscImag::new().build(input, scope).
risc_is_finite: Shorthand for RiscIsFinite::new().build(x, scope).
risc_log: Shorthand for RiscLog::new().build(x, scope).
risc_logical_and: Shorthand for RiscLogicalAnd::new().build(x, y, scope).
risc_logical_not: Shorthand for RiscLogicalNot::new().build(x, scope).
risc_logical_or: Shorthand for RiscLogicalOr::new().build(x, y, scope).
risc_max: Shorthand for RiscMax::new().build(x, y, scope).
risc_min: Shorthand for RiscMin::new().build(x, y, scope).
risc_mul: Shorthand for RiscMul::new().build(x, y, scope).
risc_neg: Shorthand for RiscNeg::new().build(x, scope).
risc_pad: Shorthand for RiscPad::new().build(input, paddings, constant_values, scope).
risc_pool: Shorthand for RiscPool::new().build(value, scope).
risc_pow: Shorthand for RiscPow::new().build(x, y, scope).
risc_random_uniform: Shorthand for RiscRandomUniform::new().build(shape, scope).
risc_real: Shorthand for RiscReal::new().build(input, scope).
risc_reduce: Shorthand for RiscReduce::new().build(tensor, axis, scope).
risc_rem: Shorthand for RiscRem::new().build(x, y, scope).
risc_reshape: Shorthand for RiscReshape::new().build(tensor, shape, scope).
risc_reverse: Shorthand for RiscReverse::new().build(tensor, axis, scope).
risc_scatter: Shorthand for RiscScatter::new().build(indices, updates, shape, scope).
risc_shape: Shorthand for RiscShape::new().build(input, scope).
risc_sign: Shorthand for RiscSign::new().build(x, scope).
risc_slice: Shorthand for RiscSlice::new().build(input, begin, size, scope).
risc_sort: Shorthand for RiscSort::new().build(input, axis, scope).
risc_squeeze: Shorthand for RiscSqueeze::new().build(input, scope).
risc_sub: Shorthand for RiscSub::new().build(x, y, scope).
risc_transpose: Shorthand for RiscTranspose::new().build(x, perm, scope).
risc_triangular_solve: Shorthand for RiscTriangularSolve::new().build(matrix, rhs, scope).
risc_unary: Shorthand for RiscUnary::new().build(x, scope).
risc_while: Shorthand for RiscWhile::new().build(input, scope).
rng_read_and_skip: Shorthand for RngReadAndSkip::new().build(resource, alg, delta, scope).
rng_skip: Shorthand for RngSkip::new().build(resource, algorithm, delta, scope).
roll: Shorthand for Roll::new().build(input, shift, axis, scope).
round: Shorthand for Round::new().build(x, scope).
rsqrt: Shorthand for Rsqrt::new().build(x, scope).
rsqrt_grad: Shorthand for RsqrtGrad::new().build(y, dy, scope).
sample_distorted_bounding_box: Shorthand for SampleDistortedBoundingBox::new().build(image_size, bounding_boxes, scope).
sample_distorted_bounding_box_v2: Shorthand for SampleDistortedBoundingBoxV2::new().build(image_size, bounding_boxes, min_object_covered, scope).
sampling_dataset: Shorthand for SamplingDataset::new().build(input_dataset, rate, seed, seed2, scope).
save: Shorthand for Save::new().build(filename, tensor_names, data, scope).
save_dataset: Shorthand for SaveDataset::new().build(input_dataset, path, shard_func_other_args, scope).
save_dataset_v2: Shorthand for SaveDatasetV2::new().build(input_dataset, path, shard_func_other_args, scope).
save_slices: Shorthand for SaveSlices::new().build(filename, tensor_names, shapes_and_slices, data, scope).
save_v2: Shorthand for SaveV2::new().build(prefix, tensor_names, shape_and_slices, tensors, scope).
scalar_summary: Shorthand for ScalarSummary::new().build(tags, values, scope).
scale_and_translate: Shorthand for ScaleAndTranslate::new().build(images, size, scale, translation, scope).
scale_and_translate_grad: Shorthand for ScaleAndTranslateGrad::new().build(grads, original_image, scale, translation, scope).
scan_dataset: Shorthand for ScanDataset::new().build(input_dataset, initial_state, other_arguments, scope).
scatter_add: Shorthand for ScatterAdd::new().build(ref_, indices, updates, scope).
scatter_div: Shorthand for ScatterDiv::new().build(ref_, indices, updates, scope).
scatter_max: Shorthand for ScatterMax::new().build(ref_, indices, updates, scope).
scatter_min: Shorthand for ScatterMin::new().build(ref_, indices, updates, scope).
scatter_mul: Shorthand for ScatterMul::new().build(ref_, indices, updates, scope).
scatter_nd: Shorthand for ScatterNd::new().build(indices, updates, shape, scope).
scatter_nd_add: Shorthand for ScatterNdAdd::new().build(ref_, indices, updates, scope).
scatter_nd_max: Shorthand for ScatterNdMax::new().build(ref_, indices, updates, scope).
scatter_nd_min: Shorthand for ScatterNdMin::new().build(ref_, indices, updates, scope).
scatter_nd_non_aliasing_add: Shorthand for ScatterNdNonAliasingAdd::new().build(input, indices, updates, scope).
scatter_nd_sub: Shorthand for ScatterNdSub::new().build(ref_, indices, updates, scope).
scatter_nd_update: Shorthand for ScatterNdUpdate::new().build(ref_, indices, updates, scope).
scatter_sub: Shorthand for ScatterSub::new().build(ref_, indices, updates, scope).
scatter_update: Shorthand for ScatterUpdate::new().build(ref_, indices, updates, scope).
sdca_fprint: Shorthand for SdcaFprint::new().build(input, scope).
sdca_optimizer: Shorthand for SdcaOptimizer::new().build(sparse_example_indices, sparse_feature_indices, sparse_feature_values, dense_features, example_weights, example_labels, sparse_indices, sparse_weights, dense_weights, example_state_data, scope).
sdca_optimizer_v2: Shorthand for SdcaOptimizerV2::new().build(sparse_example_indices, sparse_feature_indices, sparse_feature_values, dense_features, example_weights, example_labels, sparse_indices, sparse_weights, dense_weights, example_state_data, scope).
sdca_shrink_l1: Shorthand for SdcaShrinkL1::new().build(weights, scope).
segment_max: Shorthand for SegmentMax::new().build(data, segment_ids, scope).
segment_max_v2: Shorthand for SegmentMaxV2::new().build(data, segment_ids, num_segments, scope).
segment_mean: Shorthand for SegmentMean::new().build(data, segment_ids, scope).
segment_min: Shorthand for SegmentMin::new().build(data, segment_ids, scope).
segment_min_v2: Shorthand for SegmentMinV2::new().build(data, segment_ids, num_segments, scope).
segment_prod: Shorthand for SegmentProd::new().build(data, segment_ids, scope).
segment_prod_v2: Shorthand for SegmentProdV2::new().build(data, segment_ids, num_segments, scope).
segment_sum: Shorthand for SegmentSum::new().build(data, segment_ids, scope).
segment_sum_v2: Shorthand for SegmentSumV2::new().build(data, segment_ids, num_segments, scope).
select: Shorthand for Select::new().build(condition, t, e, scope).
select_v2: Shorthand for SelectV2::new().build(condition, t, e, scope).
self_adjoint_eig: Shorthand for SelfAdjointEig::new().build(input, scope).
self_adjoint_eig_v2: Shorthand for SelfAdjointEigV2::new().build(input, scope).
selu: Shorthand for Selu::new().build(features, scope).
selu_grad: Shorthand for SeluGrad::new().build(gradients, outputs, scope).
send: Shorthand for Send::new().build(tensor, scope).
send_tpuembedding_gradients: Shorthand for SendTPUEmbeddingGradients::new().build(inputs, learning_rates, scope).
serialize_iterator: Shorthand for SerializeIterator::new().build(resource_handle, scope).
serialize_many_sparse: Shorthand for SerializeManySparse::new().build(sparse_indices, sparse_values, sparse_shape, scope).
serialize_sparse: Shorthand for SerializeSparse::new().build(sparse_indices, sparse_values, sparse_shape, scope).
serialize_tensor: Shorthand for SerializeTensor::new().build(tensor, scope).
set_size: Shorthand for SetSize::new().build(set_indices, set_values, set_shape, scope).
set_stats_aggregator_dataset: Shorthand for SetStatsAggregatorDataset::new().build(input_dataset, stats_aggregator, tag, counter_prefix, scope).
shape: Shorthand for Shape::new().build(input, scope).
shape_n: Shorthand for ShapeN::new().build(input, scope).
shard_dataset: Shorthand for ShardDataset::new().build(input_dataset, num_shards, index, scope).
sharded_filename: Shorthand for ShardedFilename::new().build(basename, shard, num_shards, scope).
sharded_filespec: Shorthand for ShardedFilespec::new().build(basename, num_shards, scope).
shuffle_and_repeat_dataset: Shorthand for ShuffleAndRepeatDataset::new().build(input_dataset, buffer_size, seed, seed2, count, scope).
shuffle_and_repeat_dataset_v2: Shorthand for ShuffleAndRepeatDatasetV2::new().build(input_dataset, buffer_size, seed, seed2, count, seed_generator, scope).
shuffle_dataset: Shorthand for ShuffleDataset::new().build(input_dataset, buffer_size, seed, seed2, scope).
shuffle_dataset_v2: Shorthand for ShuffleDatasetV2::new().build(input_dataset, buffer_size, seed_generator, scope).
shuffle_dataset_v3: Shorthand for ShuffleDatasetV3::new().build(input_dataset, buffer_size, seed, seed2, seed_generator, scope).
shutdown_distributed_tpu: Shorthand for ShutdownDistributedTPU::new().build(scope).
shutdown_tpusystem: Shorthand for ShutdownTPUSystem::new().build(scope).
sigmoid: Shorthand for Sigmoid::new().build(x, scope).
sigmoid_grad: Shorthand for SigmoidGrad::new().build(y, dy, scope).
sign: Shorthand for Sign::new().build(x, scope).
sin: Shorthand for Sin::new().build(x, scope).
sinh: Shorthand for Sinh::new().build(x, scope).
size: Shorthand for Size::new().build(input, scope).
skip_dataset: Shorthand for SkipDataset::new().build(input_dataset, count, scope).
skipgram: Shorthand for Skipgram::new().build(scope).
sleep_dataset: Shorthand for SleepDataset::new().build(input_dataset, sleep_microseconds, scope).
slice: Shorthand for Slice::new().build(input, begin, size, scope).
sliding_window_dataset: Shorthand for SlidingWindowDataset::new().build(input_dataset, window_size, window_shift, window_stride, scope).
snapshot: Shorthand for Snapshot::new().build(input, scope).
snapshot_chunk_dataset: Shorthand for SnapshotChunkDataset::new().build(chunk_file, scope).
snapshot_dataset: Shorthand for SnapshotDataset::new().build(input_dataset, path, scope).
snapshot_dataset_reader: Shorthand for SnapshotDatasetReader::new().build(shard_dir, start_index, scope).
snapshot_dataset_v2: Shorthand for SnapshotDatasetV2::new().build(input_dataset, path, reader_func_other_args, shard_func_other_args, scope).
snapshot_nested_dataset_reader: Shorthand for SnapshotNestedDatasetReader::new().build(inputs, scope).
sobol_sample: Shorthand for SobolSample::new().build(dim, num_results, skip, scope).
softmax: Shorthand for Softmax::new().build(logits, scope).
softmax_cross_entropy_with_logits: Shorthand for SoftmaxCrossEntropyWithLogits::new().build(features, labels, scope).
softplus: Shorthand for Softplus::new().build(features, scope).
softplus_grad: Shorthand for SoftplusGrad::new().build(gradients, features, scope).
softsign: Shorthand for Softsign::new().build(features, scope).
softsign_grad: Shorthand for SoftsignGrad::new().build(gradients, features, scope).
space_to_batch: Shorthand for SpaceToBatch::new().build(input, paddings, scope).
space_to_batch_nd: Shorthand for SpaceToBatchND::new().build(input, block_shape, paddings, scope).
space_to_depth: Shorthand for SpaceToDepth::new().build(input, scope).
sparse_accumulator_apply_gradient: Shorthand for SparseAccumulatorApplyGradient::new().build(handle, local_step, gradient_indices, gradient_values, gradient_shape, scope).
sparse_accumulator_take_gradient: Shorthand for SparseAccumulatorTakeGradient::new().build(handle, num_required, scope).
sparse_add: Shorthand for SparseAdd::new().build(a_indices, a_values, a_shape, b_indices, b_values, b_shape, thresh, scope).
sparse_add_grad: Shorthand for SparseAddGrad::new().build(backprop_val_grad, a_indices, b_indices, sum_indices, scope).
sparse_apply_adadelta: Shorthand for SparseApplyAdadelta::new().build(var, accum, accum_update, lr, rho, epsilon, grad, indices, scope).
sparse_apply_adagrad: Shorthand for SparseApplyAdagrad::new().build(var, accum, lr, grad, indices, scope).
sparse_apply_adagrad_da: Shorthand for SparseApplyAdagradDA::new().build(var, gradient_accumulator, gradient_squared_accumulator, grad, indices, lr, l1, l2, global_step, scope).
sparse_apply_adagrad_v2: Shorthand for SparseApplyAdagradV2::new().build(var, accum, lr, epsilon, grad, indices, scope).
sparse_apply_centered_rmsprop: Shorthand for SparseApplyCenteredRMSProp::new().build(var, mg, ms, mom, lr, rho, momentum, epsilon, grad, indices, scope).
sparse_apply_ftrl: Shorthand for SparseApplyFtrl::new().build(var, accum, linear, grad, indices, lr, l1, l2, lr_power, scope).
sparse_apply_ftrl_v2: Shorthand for SparseApplyFtrlV2::new().build(var, accum, linear, grad, indices, lr, l1, l2, l2_shrinkage, lr_power, scope).
sparse_apply_momentum: Shorthand for SparseApplyMomentum::new().build(var, accum, lr, grad, indices, momentum, scope).
sparse_apply_proximal_adagrad: Shorthand for SparseApplyProximalAdagrad::new().build(var, accum, lr, l1, l2, grad, indices, scope).
sparse_apply_proximal_gradient_descent: Shorthand for SparseApplyProximalGradientDescent::new().build(var, alpha, l1, l2, grad, indices, scope).
sparse_apply_rmsprop: Shorthand for SparseApplyRMSProp::new().build(var, ms, mom, lr, rho, momentum, epsilon, grad, indices, scope).
sparse_bincount: Shorthand for SparseBincount::new().build(indices, values, dense_shape, size, weights, scope).
sparse_concat: Shorthand for SparseConcat::new().build(indices, values, shapes, scope).
sparse_conditional_accumulator: Shorthand for SparseConditionalAccumulator::new().build(scope).
sparse_count_sparse_output: Shorthand for SparseCountSparseOutput::new().build(indices, values, dense_shape, weights, scope).
sparse_cross: Shorthand for SparseCross::new().build(indices, values, shapes, dense_inputs, scope).
sparse_cross_hashed: Shorthand for SparseCrossHashed::new().build(indices, values, shapes, dense_inputs, num_buckets, strong_hash, salt, scope).
sparse_cross_v2: Shorthand for SparseCrossV2::new().build(indices, values, shapes, dense_inputs, sep, scope).
sparse_dense_cwise_add: Shorthand for SparseDenseCwiseAdd::new().build(sp_indices, sp_values, sp_shape, dense, scope).
sparse_dense_cwise_div: Shorthand for SparseDenseCwiseDiv::new().build(sp_indices, sp_values, sp_shape, dense, scope).
sparse_dense_cwise_mul: Shorthand for SparseDenseCwiseMul::new().build(sp_indices, sp_values, sp_shape, dense, scope).
sparse_fill_empty_rows: Shorthand for SparseFillEmptyRows::new().build(indices, values, dense_shape, default_value, scope).
sparse_fill_empty_rows_grad: Shorthand for SparseFillEmptyRowsGrad::new().build(reverse_index_map, grad_values, scope).
sparse_mat_mul: Shorthand for SparseMatMul::new().build(a, b, scope).
sparse_matrix_add: Shorthand for SparseMatrixAdd::new().build(a, b, alpha, beta, scope).
sparse_matrix_mat_mul: Shorthand for SparseMatrixMatMul::new().build(a, b, scope).
sparse_matrix_mul: Shorthand for SparseMatrixMul::new().build(a, b, scope).
sparse_matrix_nnz: Shorthand for SparseMatrixNNZ::new().build(sparse_matrix, scope).
sparse_matrix_ordering_amd: Shorthand for SparseMatrixOrderingAMD::new().build(input, scope).
sparse_matrix_softmax: Shorthand for SparseMatrixSoftmax::new().build(logits, scope).
sparse_matrix_softmax_grad: Shorthand for SparseMatrixSoftmaxGrad::new().build(softmax, grad_softmax, scope).
sparse_matrix_sparse_cholesky: Shorthand for SparseMatrixSparseCholesky::new().build(input, permutation, scope).
sparse_matrix_sparse_mat_mul: Shorthand for SparseMatrixSparseMatMul::new().build(a, b, scope).
sparse_matrix_transpose: Shorthand for SparseMatrixTranspose::new().build(input, scope).
sparse_matrix_zeros: Shorthand for SparseMatrixZeros::new().build(dense_shape, scope).
sparse_reduce_max: Shorthand for SparseReduceMax::new().build(input_indices, input_values, input_shape, reduction_axes, scope).
sparse_reduce_max_sparse: Shorthand for SparseReduceMaxSparse::new().build(input_indices, input_values, input_shape, reduction_axes, scope).
sparse_reduce_sum: Shorthand for SparseReduceSum::new().build(input_indices, input_values, input_shape, reduction_axes, scope).
sparse_reduce_sum_sparse: Shorthand for SparseReduceSumSparse::new().build(input_indices, input_values, input_shape, reduction_axes, scope).
sparse_reorder: Shorthand for SparseReorder::new().build(input_indices, input_values, input_shape, scope).
sparse_reshape: Shorthand for SparseReshape::new().build(input_indices, input_shape, new_shape, scope).
sparse_segment_mean: Shorthand for SparseSegmentMean::new().build(data, indices, segment_ids, scope).
sparse_segment_mean_grad: Shorthand for SparseSegmentMeanGrad::new().build(grad, indices, segment_ids, output_dim0, scope).
sparse_segment_mean_with_num_segments: Shorthand for SparseSegmentMeanWithNumSegments::new().build(data, indices, segment_ids, num_segments, scope).
sparse_segment_sqrt_n: Shorthand for SparseSegmentSqrtN::new().build(data, indices, segment_ids, scope).
sparse_segment_sqrt_ngrad: Shorthand for SparseSegmentSqrtNGrad::new().build(grad, indices, segment_ids, output_dim0, scope).
sparse_segment_sqrt_nwith_num_segments: Shorthand for SparseSegmentSqrtNWithNumSegments::new().build(data, indices, segment_ids, num_segments, scope).
sparse_segment_sum: Shorthand for SparseSegmentSum::new().build(data, indices, segment_ids, scope).
sparse_segment_sum_grad: Shorthand for SparseSegmentSumGrad::new().build(grad, indices, segment_ids, output_dim0, scope).
sparse_segment_sum_with_num_segments: Shorthand for SparseSegmentSumWithNumSegments::new().build(data, indices, segment_ids, num_segments, scope).
sparse_slice: Shorthand for SparseSlice::new().build(indices, values, shape, start, size, scope).
sparse_slice_grad: Shorthand for SparseSliceGrad::new().build(backprop_val_grad, input_indices, input_start, output_indices, scope).
sparse_softmax: Shorthand for SparseSoftmax::new().build(sp_indices, sp_values, sp_shape, scope).
sparse_softmax_cross_entropy_with_logits: Shorthand for SparseSoftmaxCrossEntropyWithLogits::new().build(features, labels, scope).
sparse_sparse_maximum: Shorthand for SparseSparseMaximum::new().build(a_indices, a_values, a_shape, b_indices, b_values, b_shape, scope).
sparse_sparse_minimum: Shorthand for SparseSparseMinimum::new().build(a_indices, a_values, a_shape, b_indices, b_values, b_shape, scope).
sparse_split: Shorthand for SparseSplit::new().build(split_dim, indices, values, shape, scope).
sparse_tensor_dense_add: Shorthand for SparseTensorDenseAdd::new().build(a_indices, a_values, a_shape, b, scope).
sparse_tensor_dense_mat_mul: Shorthand for SparseTensorDenseMatMul::new().build(a_indices, a_values, a_shape, b, scope).
sparse_tensor_slice_dataset: Shorthand for SparseTensorSliceDataset::new().build(indices, values, dense_shape, scope).
sparse_tensor_to_csrsparse_matrix: Shorthand for SparseTensorToCSRSparseMatrix::new().build(indices, values, dense_shape, scope).
sparse_to_dense: Shorthand for SparseToDense::new().build(sparse_indices, output_shape, sparse_values, default_value, scope).
sparse_to_sparse_set_operation: Shorthand for SparseToSparseSetOperation::new().build(set1_indices, set1_values, set1_shape, set2_indices, set2_values, set2_shape, scope).
spence: Shorthand for Spence::new().build(x, scope).
split: Shorthand for Split::new().build(split_dim, value, scope).
split_dedup_data: Shorthand for SplitDedupData::new().build(input, scope).
split_v: Shorthand for SplitV::new().build(value, size_splits, split_dim, scope).
sql_dataset: Shorthand for SqlDataset::new().build(driver_name, data_source_name, query, scope).
sqrt: Shorthand for Sqrt::new().build(x, scope).
sqrt_grad: Shorthand for SqrtGrad::new().build(y, dy, scope).
square: Shorthand for Square::new().build(x, scope).
squared_difference: Shorthand for SquaredDifference::new().build(x, y, scope).
squeeze: Shorthand for Squeeze::new().build(input, scope).
stack: Shorthand for Stack::new().build(scope).
stack_close: Shorthand for StackClose::new().build(handle, scope).
stack_close_v2: Shorthand for StackCloseV2::new().build(handle, scope).
stack_pop: Shorthand for StackPop::new().build(handle, scope).
stack_pop_v2: Shorthand for StackPopV2::new().build(handle, scope).
stack_push: Shorthand for StackPush::new().build(handle, elem, scope).
stack_push_v2: Shorthand for StackPushV2::new().build(handle, elem, scope).
stack_v2: Shorthand for StackV2::new().build(max_size, scope).
stage: Shorthand for Stage::new().build(values, scope).
stage_clear: Shorthand for StageClear::new().build(scope).
stage_peek: Shorthand for StagePeek::new().build(index, scope).
stage_size: Shorthand for StageSize::new().build(scope).
stateful_partitioned_call: Shorthand for StatefulPartitionedCall::new().build(args, scope).
stateful_random_binomial: Shorthand for StatefulRandomBinomial::new().build(resource, algorithm, shape, counts, probs, scope).
stateful_standard_normal: Shorthand for StatefulStandardNormal::new().build(resource, shape, scope).
stateful_standard_normal_v2: Shorthand for StatefulStandardNormalV2::new().build(resource, algorithm, shape, scope).
stateful_truncated_normal: Shorthand for StatefulTruncatedNormal::new().build(resource, algorithm, shape, scope).
stateful_uniform: Shorthand for StatefulUniform::new().build(resource, algorithm, shape, scope).
stateful_uniform_full_int: Shorthand for StatefulUniformFullInt::new().build(resource, algorithm, shape, scope).
stateful_uniform_int: Shorthand for StatefulUniformInt::new().build(resource, algorithm, shape, minval, maxval, scope).
stateless_case: Shorthand for StatelessCase::new().build(branch_index, input, scope).
stateless_if: Shorthand for StatelessIf::new().build(cond, input, scope).
stateless_multinomial: Shorthand for StatelessMultinomial::new().build(logits, num_samples, seed, scope).
stateless_parameterized_truncated_normal: Shorthand for StatelessParameterizedTruncatedNormal::new().build(shape, seed, means, stddevs, minvals, maxvals, scope).
stateless_random_binomial: Shorthand for StatelessRandomBinomial::new().build(shape, seed, counts, probs, scope).
stateless_random_gamma_v2: Shorthand for StatelessRandomGammaV2::new().build(shape, seed, alpha, scope).
stateless_random_gamma_v3: Shorthand for StatelessRandomGammaV3::new().build(shape, key, counter, alg, alpha, scope).
stateless_random_get_alg: Shorthand for StatelessRandomGetAlg::new().build(scope).
stateless_random_get_key_counter: Shorthand for StatelessRandomGetKeyCounter::new().build(seed, scope).
stateless_random_get_key_counter_alg: Shorthand for StatelessRandomGetKeyCounterAlg::new().build(seed, scope).
stateless_random_normal: Shorthand for StatelessRandomNormal::new().build(shape, seed, scope).
stateless_random_normal_v2: Shorthand for StatelessRandomNormalV2::new().build(shape, key, counter, alg, scope).
stateless_random_poisson: Shorthand for StatelessRandomPoisson::new().build(shape, seed, lam, scope).
stateless_random_uniform: Shorthand for StatelessRandomUniform::new().build(shape, seed, scope).
stateless_random_uniform_full_int: Shorthand for StatelessRandomUniformFullInt::new().build(shape, seed, scope).
stateless_random_uniform_full_int_v2: Shorthand for StatelessRandomUniformFullIntV2::new().build(shape, key, counter, alg, scope).
stateless_random_uniform_int: Shorthand for StatelessRandomUniformInt::new().build(shape, seed, minval, maxval, scope).
stateless_random_uniform_int_v2: Shorthand for StatelessRandomUniformIntV2::new().build(shape, key, counter, alg, minval, maxval, scope).
stateless_random_uniform_v2: Shorthand for StatelessRandomUniformV2::new().build(shape, key, counter, alg, scope).
stateless_sample_distorted_bounding_box: Shorthand for StatelessSampleDistortedBoundingBox::new().build(image_size, bounding_boxes, min_object_covered, seed, scope).
stateless_shuffle: Shorthand for StatelessShuffle::new().build(value, key, counter, alg, scope).
stateless_truncated_normal: Shorthand for StatelessTruncatedNormal::new().build(shape, seed, scope).
stateless_truncated_normal_v2: Shorthand for StatelessTruncatedNormalV2::new().build(shape, key, counter, alg, scope).
stateless_while: Shorthand for StatelessWhile::new().build(input, scope).
static_regex_full_match: Shorthand for StaticRegexFullMatch::new().build(input, scope).
static_regex_replace: Shorthand for StaticRegexReplace::new().build(input, scope).
stats_aggregator_handle: Shorthand for StatsAggregatorHandle::new().build(scope).
stats_aggregator_handle_v2: Shorthand for StatsAggregatorHandleV2::new().build(scope).
stats_aggregator_set_summary_writer: Shorthand for StatsAggregatorSetSummaryWriter::new().build(stats_aggregator, summary, scope).
stats_aggregator_summary: Shorthand for StatsAggregatorSummary::new().build(iterator, scope).
stochastic_cast_to_int: Shorthand for StochasticCastToInt::new().build(input, key, counter, alg, scope).
stop_gradient: Shorthand for StopGradient::new().build(input, scope).
strided_slice: Shorthand for StridedSlice::new().build(input, begin, end, strides, scope).
strided_slice_assign: Shorthand for StridedSliceAssign::new().build(ref_, begin, end, strides, value, scope).
strided_slice_grad: Shorthand for StridedSliceGrad::new().build(shape, begin, end, strides, dy, scope).
string_format: Shorthand for StringFormat::new().build(inputs, scope).
string_join: Shorthand for StringJoin::new().build(inputs, scope).
string_length: Shorthand for StringLength::new().build(input, scope).
string_lower: Shorthand for StringLower::new().build(input, scope).
string_ngrams: Shorthand for StringNGrams::new().build(data, data_splits, scope).
string_split: Shorthand for StringSplit::new().build(input, delimiter, scope).
string_split_v2: Shorthand for StringSplitV2::new().build(input, sep, scope).
string_strip: Shorthand for StringStrip::new().build(input, scope).
string_to_hash_bucket: Shorthand for StringToHashBucket::new().build(string_tensor, scope).
string_to_hash_bucket_fast: Shorthand for StringToHashBucketFast::new().build(input, scope).
string_to_hash_bucket_strong: Shorthand for StringToHashBucketStrong::new().build(input, scope).
string_to_number: Shorthand for StringToNumber::new().build(string_tensor, scope).
string_upper: Shorthand for StringUpper::new().build(input, scope).
sub: Shorthand for Sub::new().build(x, y, scope).
substr: Shorthand for Substr::new().build(input, pos, len, scope).
subtractDeprecated: Shorthand for Subtract::new().build(scope), a, b).
sum: Shorthand for Sum::new().build(input, reduction_indices, scope).
summary_writer: Shorthand for SummaryWriter::new().build(scope).
svd: Shorthand for Svd::new().build(input, scope).
switch: Shorthand for Switch::new().build(data, pred, scope).
symbolic_gradient: Shorthand for SymbolicGradient::new().build(input, scope).
sync_device: Shorthand for SyncDevice::new().build(scope).
take_dataset: Shorthand for TakeDataset::new().build(input_dataset, count, scope).
take_many_sparse_from_tensors_map: Shorthand for TakeManySparseFromTensorsMap::new().build(sparse_handles, scope).
take_while_dataset: Shorthand for TakeWhileDataset::new().build(input_dataset, other_arguments, scope).
tan: Shorthand for Tan::new().build(x, scope).
tanh: Shorthand for Tanh::new().build(x, scope).
tanh_grad: Shorthand for TanhGrad::new().build(y, dy, scope).
temporary_variable: Shorthand for TemporaryVariable::new().build(scope).
tensor_array: Shorthand for TensorArray::new().build(size, scope).
tensor_array_close: Shorthand for TensorArrayClose::new().build(handle, scope).
tensor_array_close_v2: Shorthand for TensorArrayCloseV2::new().build(handle, scope).
tensor_array_close_v3: Shorthand for TensorArrayCloseV3::new().build(handle, scope).
tensor_array_concat: Shorthand for TensorArrayConcat::new().build(handle, flow_in, scope).
tensor_array_concat_v2: Shorthand for TensorArrayConcatV2::new().build(handle, flow_in, scope).
tensor_array_concat_v3: Shorthand for TensorArrayConcatV3::new().build(handle, flow_in, scope).
tensor_array_gather: Shorthand for TensorArrayGather::new().build(handle, indices, flow_in, scope).
tensor_array_gather_v2: Shorthand for TensorArrayGatherV2::new().build(handle, indices, flow_in, scope).
tensor_array_gather_v3: Shorthand for TensorArrayGatherV3::new().build(handle, indices, flow_in, scope).
tensor_array_grad: Shorthand for TensorArrayGrad::new().build(handle, flow_in, scope).
tensor_array_grad_v2: Shorthand for TensorArrayGradV2::new().build(handle, flow_in, scope).
tensor_array_grad_v3: Shorthand for TensorArrayGradV3::new().build(handle, flow_in, scope).
tensor_array_grad_with_shape: Shorthand for TensorArrayGradWithShape::new().build(handle, flow_in, shape_to_prepend, scope).
tensor_array_pack: Shorthand for TensorArrayPack::new().build(handle, flow_in, scope).
tensor_array_read: Shorthand for TensorArrayRead::new().build(handle, index, flow_in, scope).
tensor_array_read_v2: Shorthand for TensorArrayReadV2::new().build(handle, index, flow_in, scope).
tensor_array_read_v3: Shorthand for TensorArrayReadV3::new().build(handle, index, flow_in, scope).
tensor_array_scatter: Shorthand for TensorArrayScatter::new().build(handle, indices, value, flow_in, scope).
tensor_array_scatter_v2: Shorthand for TensorArrayScatterV2::new().build(handle, indices, value, flow_in, scope).
tensor_array_scatter_v3: Shorthand for TensorArrayScatterV3::new().build(handle, indices, value, flow_in, scope).
tensor_array_size: Shorthand for TensorArraySize::new().build(handle, flow_in, scope).
tensor_array_size_v2: Shorthand for TensorArraySizeV2::new().build(handle, flow_in, scope).
tensor_array_size_v3: Shorthand for TensorArraySizeV3::new().build(handle, flow_in, scope).
tensor_array_split: Shorthand for TensorArraySplit::new().build(handle, value, lengths, flow_in, scope).
tensor_array_split_v2: Shorthand for TensorArraySplitV2::new().build(handle, value, lengths, flow_in, scope).
tensor_array_split_v3: Shorthand for TensorArraySplitV3::new().build(handle, value, lengths, flow_in, scope).
tensor_array_unpack: Shorthand for TensorArrayUnpack::new().build(handle, value, flow_in, scope).
tensor_array_v2: Shorthand for TensorArrayV2::new().build(size, scope).
tensor_array_v3: Shorthand for TensorArrayV3::new().build(size, scope).
tensor_array_write: Shorthand for TensorArrayWrite::new().build(handle, index, value, flow_in, scope).
tensor_array_write_v2: Shorthand for TensorArrayWriteV2::new().build(handle, index, value, flow_in, scope).
tensor_array_write_v3: Shorthand for TensorArrayWriteV3::new().build(handle, index, value, flow_in, scope).
tensor_dataset: Shorthand for TensorDataset::new().build(components, scope).
tensor_list_concat: Shorthand for TensorListConcat::new().build(input_handle, scope).
tensor_list_concat_lists: Shorthand for TensorListConcatLists::new().build(input_a, input_b, scope).
tensor_list_concat_v2: Shorthand for TensorListConcatV2::new().build(input_handle, element_shape, leading_dims, scope).
tensor_list_element_shape: Shorthand for TensorListElementShape::new().build(input_handle, scope).
tensor_list_from_tensor: Shorthand for TensorListFromTensor::new().build(tensor, element_shape, scope).
tensor_list_gather: Shorthand for TensorListGather::new().build(input_handle, indices, element_shape, scope).
tensor_list_get_item: Shorthand for TensorListGetItem::new().build(input_handle, index, element_shape, scope).
tensor_list_length: Shorthand for TensorListLength::new().build(input_handle, scope).
tensor_list_pop_back: Shorthand for TensorListPopBack::new().build(input_handle, element_shape, scope).
tensor_list_push_back: Shorthand for TensorListPushBack::new().build(input_handle, tensor, scope).
tensor_list_push_back_batch: Shorthand for TensorListPushBackBatch::new().build(input_handles, tensor, scope).
tensor_list_reserve: Shorthand for TensorListReserve::new().build(element_shape, num_elements, scope).
tensor_list_resize: Shorthand for TensorListResize::new().build(input_handle, size, scope).
tensor_list_scatter: Shorthand for TensorListScatter::new().build(tensor, indices, element_shape, scope).
tensor_list_scatter_into_existing_list: Shorthand for TensorListScatterIntoExistingList::new().build(input_handle, tensor, indices, scope).
tensor_list_scatter_v2: Shorthand for TensorListScatterV2::new().build(tensor, indices, element_shape, num_elements, scope).
tensor_list_set_item: Shorthand for TensorListSetItem::new().build(input_handle, index, item, scope).
tensor_list_split: Shorthand for TensorListSplit::new().build(tensor, element_shape, lengths, scope).
tensor_list_stack: Shorthand for TensorListStack::new().build(input_handle, element_shape, scope).
tensor_map_erase: Shorthand for TensorMapErase::new().build(input_handle, key, scope).
tensor_map_has_key: Shorthand for TensorMapHasKey::new().build(input_handle, key, scope).
tensor_map_insert: Shorthand for TensorMapInsert::new().build(input_handle, key, value, scope).
tensor_map_lookup: Shorthand for TensorMapLookup::new().build(input_handle, key, scope).
tensor_map_size: Shorthand for TensorMapSize::new().build(input_handle, scope).
tensor_map_stack_keys: Shorthand for TensorMapStackKeys::new().build(input_handle, scope).
tensor_scatter_add: Shorthand for TensorScatterAdd::new().build(tensor, indices, updates, scope).
tensor_scatter_max: Shorthand for TensorScatterMax::new().build(tensor, indices, updates, scope).
tensor_scatter_min: Shorthand for TensorScatterMin::new().build(tensor, indices, updates, scope).
tensor_scatter_sub: Shorthand for TensorScatterSub::new().build(tensor, indices, updates, scope).
tensor_scatter_update: Shorthand for TensorScatterUpdate::new().build(tensor, indices, updates, scope).
tensor_slice_dataset: Shorthand for TensorSliceDataset::new().build(components, scope).
tensor_strided_slice_update: Shorthand for TensorStridedSliceUpdate::new().build(input, begin, end, strides, value, scope).
tensor_summary: Shorthand for TensorSummary::new().build(tensor, scope).
tensor_summary_v2: Shorthand for TensorSummaryV2::new().build(tag, tensor, serialized_summary_metadata, scope).
text_line_dataset: Shorthand for TextLineDataset::new().build(filenames, compression_type, buffer_size, scope).
text_line_reader: Shorthand for TextLineReader::new().build(scope).
text_line_reader_v2: Shorthand for TextLineReaderV2::new().build(scope).
tfrecord_dataset: Shorthand for TFRecordDataset::new().build(filenames, compression_type, buffer_size, scope).
tfrecord_reader: Shorthand for TFRecordReader::new().build(scope).
tfrecord_reader_v2: Shorthand for TFRecordReaderV2::new().build(scope).
thread_pool_dataset: Shorthand for ThreadPoolDataset::new().build(input_dataset, thread_pool, scope).
thread_pool_handle: Shorthand for ThreadPoolHandle::new().build(scope).
thread_unsafe_unigram_candidate_sampler: Shorthand for ThreadUnsafeUnigramCandidateSampler::new().build(true_classes, scope).
tile: Shorthand for Tile::new().build(input, multiples, scope).
tile_grad: Shorthand for TileGrad::new().build(input, multiples, scope).
timestamp: Shorthand for Timestamp::new().build(scope).
to_bool: Shorthand for ToBool::new().build(input, scope).
top_k: Shorthand for TopK::new().build(input, scope).
top_kunique: Shorthand for TopKUnique::new().build(input, scope).
top_kv2: Shorthand for TopKV2::new().build(input, k, scope).
top_kwith_unique: Shorthand for TopKWithUnique::new().build(input, scope).
tpu_handle_to_proto_key: Shorthand for TpuHandleToProtoKey::new().build(uid, scope).
tpucompilation_result: Shorthand for TPUCompilationResult::new().build(scope).
tpucompile: Shorthand for TPUCompile::new().build(dynamic_shapes, guaranteed_constants, scope).
tpucompile_succeeded_assert: Shorthand for TPUCompileSucceededAssert::new().build(compilation_status, scope).
tpuembedding_activations: Shorthand for TPUEmbeddingActivations::new().build(embedding_variable, sliced_activations, scope).
tpuexecute: Shorthand for TPUExecute::new().build(args, key, scope).
tpuexecute_and_update_variables: Shorthand for TPUExecuteAndUpdateVariables::new().build(args, key, scope).
tpuordinal_selector: Shorthand for TPUOrdinalSelector::new().build(scope).
tpupartitioned_call: Shorthand for TPUPartitionedCall::new().build(args, device_ordinal, scope).
tpupartitioned_input: Shorthand for TPUPartitionedInput::new().build(inputs, scope).
tpupartitioned_input_v2: Shorthand for TPUPartitionedInputV2::new().build(inputs, scope).
tpupartitioned_output: Shorthand for TPUPartitionedOutput::new().build(inputs, scope).
tpupartitioned_output_v2: Shorthand for TPUPartitionedOutputV2::new().build(inputs, scope).
tpureplicate_metadata: Shorthand for TPUReplicateMetadata::new().build(scope).
tpureplicated_input: Shorthand for TPUReplicatedInput::new().build(inputs, scope).
tpureplicated_output: Shorthand for TPUReplicatedOutput::new().build(input, scope).
tpureshard_variables: Shorthand for TPUReshardVariables::new().build(vars, new_format_key, format_state_var, scope).
tpuround_robin: Shorthand for TPURoundRobin::new().build(scope).
transpose: Shorthand for Transpose::new().build(x, perm, scope).
tridiagonal_mat_mul: Shorthand for TridiagonalMatMul::new().build(superdiag, maindiag, subdiag, rhs, scope).
tridiagonal_solve: Shorthand for TridiagonalSolve::new().build(diagonals, rhs, scope).
truncate_div: Shorthand for TruncateDiv::new().build(x, y, scope).
truncate_mod: Shorthand for TruncateMod::new().build(x, y, scope).
truncated_normal: Shorthand for TruncatedNormal::new().build(shape, scope).
unbatch: Shorthand for Unbatch::new().build(batched_tensor, batch_index, id, scope).
unbatch_dataset: Shorthand for UnbatchDataset::new().build(input_dataset, scope).
unbatch_grad: Shorthand for UnbatchGrad::new().build(original_input, batch_index, grad, id, scope).
uncompress_element: Shorthand for UncompressElement::new().build(compressed, scope).
unicode_decode: Shorthand for UnicodeDecode::new().build(input, scope).
unicode_decode_with_offsets: Shorthand for UnicodeDecodeWithOffsets::new().build(input, scope).
unicode_encode: Shorthand for UnicodeEncode::new().build(input_values, input_splits, scope).
unicode_script: Shorthand for UnicodeScript::new().build(input, scope).
unicode_transcode: Shorthand for UnicodeTranscode::new().build(input, scope).
uniform_candidate_sampler: Shorthand for UniformCandidateSampler::new().build(true_classes, scope).
uniform_dequantize: Shorthand for UniformDequantize::new().build(input, scales, zero_points, scope).
uniform_quantize: Shorthand for UniformQuantize::new().build(input, scales, zero_points, scope).
uniform_quantized_add: Shorthand for UniformQuantizedAdd::new().build(lhs, rhs, lhs_scales, lhs_zero_points, rhs_scales, rhs_zero_points, output_scales, output_zero_points, scope).
uniform_quantized_clip_by_value: Shorthand for UniformQuantizedClipByValue::new().build(operand, min, max, scales, zero_points, scope).
uniform_quantized_convolution: Shorthand for UniformQuantizedConvolution::new().build(lhs, rhs, lhs_scales, lhs_zero_points, rhs_scales, rhs_zero_points, output_scales, output_zero_points, scope).
uniform_quantized_convolution_hybrid: Shorthand for UniformQuantizedConvolutionHybrid::new().build(lhs, rhs, rhs_scales, rhs_zero_points, scope).
uniform_quantized_dot: Shorthand for UniformQuantizedDot::new().build(lhs, rhs, lhs_scales, lhs_zero_points, rhs_scales, rhs_zero_points, output_scales, output_zero_points, scope).
uniform_quantized_dot_hybrid: Shorthand for UniformQuantizedDotHybrid::new().build(lhs, rhs, rhs_scales, rhs_zero_points, scope).
uniform_requantize: Shorthand for UniformRequantize::new().build(input, input_scales, input_zero_points, output_scales, output_zero_points, scope).
unique: Shorthand for Unique::new().build(x, scope).
unique_dataset: Shorthand for UniqueDataset::new().build(input_dataset, scope).
unique_v2: Shorthand for UniqueV2::new().build(x, axis, scope).
unique_with_counts: Shorthand for UniqueWithCounts::new().build(x, scope).
unique_with_counts_v2: Shorthand for UniqueWithCountsV2::new().build(x, axis, scope).
unpack: Shorthand for Unpack::new().build(value, scope).
unravel_index: Shorthand for UnravelIndex::new().build(indices, dims, scope).
unsorted_segment_join: Shorthand for UnsortedSegmentJoin::new().build(inputs, segment_ids, num_segments, scope).
unsorted_segment_max: Shorthand for UnsortedSegmentMax::new().build(data, segment_ids, num_segments, scope).
unsorted_segment_min: Shorthand for UnsortedSegmentMin::new().build(data, segment_ids, num_segments, scope).
unsorted_segment_prod: Shorthand for UnsortedSegmentProd::new().build(data, segment_ids, num_segments, scope).
unsorted_segment_sum: Shorthand for UnsortedSegmentSum::new().build(data, segment_ids, num_segments, scope).
unstage: Shorthand for Unstage::new().build(scope).
unwrap_dataset_variant: Shorthand for UnwrapDatasetVariant::new().build(input_handle, scope).
upper_bound: Shorthand for UpperBound::new().build(sorted_inputs, values, scope).
var_handle_op: Shorthand for VarHandleOp::new().build(scope).
var_is_initialized_op: Shorthand for VarIsInitializedOp::new().build(resource, scope).
variable: Shorthand for Variable::new().build(scope).
variable_shape: Shorthand for VariableShape::new().build(input, scope).
variable_v2: Shorthand for VariableV2::new().build(scope).
where_: Shorthand for Where::new().build(input, scope).
while_: Shorthand for While::new().build(input, scope).
whole_file_reader: Shorthand for WholeFileReader::new().build(scope).
whole_file_reader_v2: Shorthand for WholeFileReaderV2::new().build(scope).
window_dataset: Shorthand for WindowDataset::new().build(input_dataset, size, shift, stride, drop_remainder, scope).
window_op: Shorthand for WindowOp::new().build(inputs, scope).
worker_heartbeat: Shorthand for WorkerHeartbeat::new().build(request, scope).
wrap_dataset_variant: Shorthand for WrapDatasetVariant::new().build(input_handle, scope).
write_audio_summary: Shorthand for WriteAudioSummary::new().build(writer, step, tag, tensor, sample_rate, scope).
write_file: Shorthand for WriteFile::new().build(filename, contents, scope).
write_graph_summary: Shorthand for WriteGraphSummary::new().build(writer, step, tensor, scope).
write_histogram_summary: Shorthand for WriteHistogramSummary::new().build(writer, step, tag, values, scope).
write_image_summary: Shorthand for WriteImageSummary::new().build(writer, step, tag, tensor, bad_color, scope).
write_raw_proto_summary: Shorthand for WriteRawProtoSummary::new().build(writer, step, tensor, scope).
write_scalar_summary: Shorthand for WriteScalarSummary::new().build(writer, step, tag, value, scope).
write_summary: Shorthand for WriteSummary::new().build(writer, step, tensor, tag, summary_metadata, scope).
xdivy: Shorthand for Xdivy::new().build(x, y, scope).
xla_concat_nd: Shorthand for XlaConcatND::new().build(inputs, scope).
xla_host_compute: Shorthand for XlaHostCompute::new().build(inputs, scope).
xla_recv_from_host: Shorthand for XlaRecvFromHost::new().build(scope).
xla_recv_tpuembedding_activations: Shorthand for XlaRecvTPUEmbeddingActivations::new().build(deduplication_data, scope).
xla_recv_tpuembedding_deduplication_data: Shorthand for XlaRecvTPUEmbeddingDeduplicationData::new().build(scope).
xla_send_to_host: Shorthand for XlaSendToHost::new().build(input, scope).
xla_send_tpuembedding_gradients: Shorthand for XlaSendTPUEmbeddingGradients::new().build(gradients, learning_rates, deduplication_data, scope).
xla_split_nd: Shorthand for XlaSplitND::new().build(input, scope).
xlog1py: Shorthand for Xlog1py::new().build(x, y, scope).
xlogy: Shorthand for Xlogy::new().build(x, y, scope).
zeros_like: Shorthand for ZerosLike::new().build(x, scope).
zeta: Shorthand for Zeta::new().build(x, q, scope).
zip_dataset: Shorthand for ZipDataset::new().build(input_datasets, scope).

Module opsCopy item path

Structs§

Functions§

Module ops