org.tensorflow

Interface Operand<T>

All Known Implementing Classes:

Abs, AccumulateN, AccumulatorNumAccumulated, AccumulatorTakeGradient, Acos, Acosh, Add, AddManySparseToTensorsMap, AddN, AddSparseToTensorsMap, AdjustContrast, AdjustHue, AdjustSaturation, All, AllReduce, AllToAll, Angle, AnonymousIterator, Any, ApplyAdadelta, ApplyAdagrad, ApplyAdagradDa, ApplyAdagradV2, ApplyAdam, ApplyAdaMax, ApplyAddSign, ApplyCenteredRmsProp, ApplyFtrl, ApplyGradientDescent, ApplyMomentum, ApplyPowerSign, ApplyProximalAdagrad, ApplyProximalGradientDescent, ApplyRmsProp, ApproximateEqual, ArgMax, ArgMin, Asin, Asinh, AssertNextDataset, Assign, AssignAdd, AssignSub, AsString, Atan, Atan2, Atanh, AudioSpectrogram, AudioSummary, AutoShardDataset, AvgPool, AvgPool3d, AvgPool3dGrad, AvgPoolGrad, BandPart, Barrier, BarrierIncompleteSize, BarrierReadySize, BatchCholesky, BatchCholeskyGrad, BatchDataset, BatchFft, BatchFft2d, BatchFft3d, BatchIfft, BatchIfft2d, BatchIfft3d, BatchMatMul, BatchMatMulV2, BatchMatrixBandPart, BatchMatrixDeterminant, BatchMatrixDiag, BatchMatrixDiagPart, BatchMatrixInverse, BatchMatrixSetDiag, BatchMatrixSolve, BatchMatrixSolveLs, BatchMatrixTriangularSolve, BatchNormWithGlobalNormalization, BatchToSpace, BatchToSpaceNd, BesselI0e, BesselI1e, Betainc, BiasAdd, BiasAddGrad, Bincount, Bitcast, BitwiseAnd, BitwiseOr, BitwiseXor, BoostedTreesAggregateStats, BoostedTreesCenterBias, BoostedTreesEnsembleResourceHandleOp, BoostedTreesExampleDebugOutputs, BoostedTreesMakeStatsSummary, BoostedTreesPredict, BoostedTreesQuantileStreamResourceHandleOp, BroadcastDynamicShape, BroadcastRecv, BroadcastSend, BroadcastTo, Bucketize, BytesProducedStatsDataset, CacheDataset, CacheDatasetV2, Cast, Ceil, CheckNumerics, Cholesky, CholeskyGrad, ChooseFastestDataset, ClipByValue, CollectiveGather, CollectivePermute, CompareAndBitpack, Complex, ComplexAbs, Concat, ConcatenateDataset, ConditionalAccumulator, ConfigureDistributedTPU, Conj, ConjugateTranspose, Constant, Conv2d, Conv2dBackpropFilter, Conv2dBackpropInput, Conv3d, Conv3dBackpropFilter, Conv3dBackpropInput, Cos, Cosh, CountUpTo, CropAndResize, CropAndResizeGradBoxes, CropAndResizeGradImage, Cross, CrossReplicaSum, CSVDataset, CudnnRnnCanonicalToParams, CudnnRNNCanonicalToParamsV2, CudnnRnnParamsSize, Cumprod, Cumsum, CumulativeLogsumexp, DataFormatDimMap, DataFormatVecPermute, DatasetCardinality, DatasetFromGraph, DatasetToGraph, DebugGradientIdentity, DebugGradientRefIdentity, DecodeAndCropJpeg, DecodeBase64, DecodeBmp, DecodeCompressed, DecodeGif, DecodeJpeg, DecodeJsonExample, DecodePaddedRaw, DecodePng, DecodeRaw, DeepCopy, DenseToSparseBatchDataset, DepthToSpace, DepthwiseConv2dNative, DepthwiseConv2dNativeBackpropFilter, DepthwiseConv2dNativeBackpropInput, Dequantize, DestroyTemporaryVariable, Det, Diag, DiagPart, Digamma, Dilation2d, Dilation2dBackpropFilter, Dilation2dBackpropInput, DirectedInterleaveDataset, Div, DivNoNan, DrawBoundingBoxes, DrawBoundingBoxesV2, DynamicStitch, EditDistance, Einsum, Elu, EluGrad, Empty, EmptyTensorList, EncodeBase64, EncodeJpeg, EncodeJpegVariableQuality, EncodePng, EncodeProto, EncodeWav, EnsureShape, Enter, Equal, Erf, Erfc, EuclideanNorm, Exit, Exp, ExpandDims, ExperimentalAssertNextDataset, ExperimentalAutoShardDataset, ExperimentalBytesProducedStatsDataset, ExperimentalChooseFastestDataset, ExperimentalCsvDataset, ExperimentalDatasetCardinality, ExperimentalDenseToSparseBatchDataset, ExperimentalDirectedInterleaveDataset, ExperimentalIgnoreErrorsDataset, ExperimentalIteratorGetDevice, ExperimentalLatencyStatsDataset, ExperimentalLmdbDataset, ExperimentalMatchingFilesDataset, ExperimentalMaxIntraOpParallelismDataset, ExperimentalNonSerializableDataset, ExperimentalParseExampleDataset, ExperimentalPrivateThreadPoolDataset, ExperimentalRandomDataset, ExperimentalRebatchDataset, ExperimentalSetStatsAggregatorDataset, ExperimentalSleepDataset, ExperimentalSlidingWindowDataset, ExperimentalSqlDataset, ExperimentalStatsAggregatorHandle, ExperimentalStatsAggregatorSummary, ExperimentalThreadPoolDataset, ExperimentalThreadPoolHandle, ExperimentalUnbatchDataset, ExperimentalUniqueDataset, Expm1, ExtractGlimpse, ExtractImagePatches, ExtractJpegShape, ExtractVolumePatches, Fact, FakeQuantWithMinMaxArgs, FakeQuantWithMinMaxArgsGradient, FakeQuantWithMinMaxVars, FakeQuantWithMinMaxVarsPerChannel, Fft, Fft2d, Fft3d, FifoQueue, Fill, FilterByLastComponentDataset, Fingerprint, FixedLengthRecordDataset, FixedLengthRecordReader, Floor, FloorDiv, FloorMod, FractionalAvgPoolGrad, FractionalMaxPoolGrad, FusedPadConv2d, FusedResizeAndPadConv2d, Gather, GatherNd, GetSessionHandle, GetSessionTensor, Greater, GreaterEqual, GuaranteeConst, HashTable, HistogramFixedWidth, HistogramSummary, HsvToRgb, Identity, IdentityReader, Ifft, Ifft2d, Ifft3d, Igamma, Igammac, IgammaGradA, IgnoreErrorsDataset, Imag, ImageSummary, ImmutableConst, InfeedDequeue, InplaceAdd, InplaceSub, InplaceUpdate, InTopK, Inv, Invert, InvertPermutation, InvGrad, Irfft, Irfft2d, Irfft3d, IsBoostedTreesEnsembleInitialized, IsBoostedTreesQuantileStreamResourceInitialized, IsFinite, IsInf, IsNan, IsVariableInitialized, Iterator, IteratorFromStringHandle, IteratorGetDevice, IteratorGetNextAsOptional, IteratorToStringHandle, Join, KMC2ChainInitialization, KmeansPlusPlusInitialization, L2Loss, LatencyStatsDataset, LeakyRelu, LeakyReluGrad, LeftShift, Less, LessEqual, Lgamma, LinSpace, LMDBDataset, LmdbReader, LoadAndRemapMatrix, LocalResponseNormalization, LocalResponseNormalizationGrad, Log, Log1p, LogicalAnd, LogicalNot, LogicalOr, LogSoftmax, LookupTableFind, LookupTableSize, LoopCond, LowerBound, MapIncompleteSize, MapSize, MatchingFiles, MatchingFilesDataset, MatMul, MatrixDiagPartV2, MatrixDiagV2, MatrixLogarithm, MatrixSetDiagV2, MatrixSolveLs, Max, Maximum, MaxIntraOpParallelismDataset, MaxPool, MaxPool3d, MaxPool3dGrad, MaxPool3dGradGrad, MaxPoolGrad, MaxPoolGradGrad, MaxPoolGradGradWithArgmax, MaxPoolGradWithArgmax, Mean, MergeSummary, Mfcc, Min, Minimum, MirrorPad, MirrorPadGrad, Mod, ModelDataset, Mul, MulNoNan, MultiDeviceIterator, MultiDeviceIteratorFromStringHandle, MultiDeviceIteratorInit, MultiDeviceIteratorToStringHandle, Multinomial, MutableDenseHashTable, MutableHashTable, MutableHashTableOfTensors, Mutex, MutexLock, NcclAllReduce, NcclBroadcast, NcclReduce, Neg, NextAfter, NextIteration, NonDeterministicInts, NonMaxSuppressionWithOverlaps, NonSerializableDataset, NotEqual, NthElement, OneHot, OnesLike, OptimizeDataset, OptionalFromValue, OptionalHasValue, OptionalNone, OrderedMapIncompleteSize, OrderedMapSize, OutfeedDequeue, Output, Pad, PaddedBatchDataset, PaddingFifoQueue, ParallelConcat, ParallelDynamicStitch, ParameterizedTruncatedNormal, ParseExampleDataset, ParseTensor, Placeholder, PlaceholderWithDefault, Polygamma, PopulationCount, Pow, PrefetchDataset, Prelinearize, PrelinearizeTuple, PreventGradient, PriorityQueue, PrivateThreadPoolDataset, Prod, QuantizeAndDequantize, QueueIsClosed, QueueSize, RaggedTensorToTensor, RaggedTensorToVariant, RandomCrop, RandomDataset, RandomGamma, RandomGammaGrad, RandomPoisson, RandomShuffle, RandomShuffleQueue, RandomStandardNormal, RandomUniform, RandomUniformInt, Range, RangeDataset, Rank, ReaderNumRecordsProduced, ReaderNumWorkUnitsCompleted, ReaderSerializeState, ReadFile, ReadVariableOp, Real, RealDiv, RebatchDataset, Reciprocal, ReciprocalGrad, RecordInput, ReduceAll, ReduceAny, ReduceJoin, ReduceMax, ReduceMin, ReduceProd, ReduceSum, RefEnter, RefExit, RefIdentity, RefNextIteration, RefSelect, RegexFullMatch, RegexReplace, Relu, Relu6, Relu6Grad, ReluGrad, RepeatDataset, Reshape, ResizeArea, ResizeBicubic, ResizeBicubicGrad, ResizeBilinear, ResizeBilinearGrad, ResizeNearestNeighbor, ResizeNearestNeighborGrad, ResourceAccumulatorNumAccumulated, ResourceAccumulatorTakeGradient, ResourceConditionalAccumulator, ResourceCountUpTo, ResourceGather, ResourceGatherNd, RestoreSlice, RetrieveTPUEmbeddingStochasticGradientDescentParameters, Reverse, ReverseSequence, Rfft, Rfft2d, Rfft3d, RgbToHsv, RightShift, Rint, Roll, Round, Rpc, Rsqrt, RsqrtGrad, SamplingDataset, ScalarSummary, ScaleAndTranslate, ScaleAndTranslateGrad, ScatterAdd, ScatterDiv, ScatterMax, ScatterMin, ScatterMul, ScatterNd, ScatterNdAdd, ScatterNdNonAliasingAdd, ScatterNdSub, ScatterNdUpdate, ScatterSub, ScatterUpdate, SdcaFprint, SegmentMax, SegmentMean, SegmentMin, SegmentProd, SegmentSum, SelectV2, Selu, SeluGrad, SerializeIterator, SerializeManySparse, SerializeSparse, SerializeTensor, SetDiag, SetSize, SetStatsAggregatorDataset, Shape, ShardDataset, ShardedFilename, ShardedFilespec, ShuffleAndRepeatDataset, ShuffleDataset, ShuffleDatasetV2, Sigmoid, SigmoidGrad, Sign, Sin, Sinh, Size, SkipDataset, SleepDataset, Slice, SlidingWindowDataset, Snapshot, SnapshotDataset, Softmax, Softplus, SoftplusGrad, Softsign, SoftsignGrad, Solve, SpaceToBatch, SpaceToBatchNd, SpaceToDepth, SparseApplyAdadelta, SparseApplyAdagrad, SparseApplyAdagradDa, SparseApplyAdagradV2, SparseApplyCenteredRmsProp, SparseApplyFtrl, SparseApplyMomentum, SparseApplyProximalAdagrad, SparseApplyProximalGradientDescent, SparseApplyRmsProp, SparseConditionalAccumulator, SparseDenseCwiseAdd, SparseDenseCwiseDiv, SparseDenseCwiseMul, SparseMatMul, SparseReduceMax, SparseReduceSum, SparseSegmentMean, SparseSegmentMeanGrad, SparseSegmentMeanWithNumSegments, SparseSegmentSqrtN, SparseSegmentSqrtNGrad, SparseSegmentSqrtNWithNumSegments, SparseSegmentSum, SparseSegmentSumWithNumSegments, SparseSliceGrad, SparseSoftmax, SparseTensorDenseAdd, SparseTensorDenseMatMul, SparseTensorSliceDataset, SparseToDense, SqlDataset, Sqrt, SqrtGrad, Sqrtm, Square, SquaredDifference, Squeeze, Stack, StageSize, StatefulRandomBinomial, StatefulStandardNormal, StatefulStandardNormalV2, StatefulTruncatedNormal, StatefulUniform, StatefulUniformFullInt, StatefulUniformInt, StatelessMultinomial, StatelessRandomNormal, StatelessRandomUniform, StatelessRandomUniformInt, StatelessTruncatedNormal, StaticRegexFullMatch, StaticRegexReplace, StatsAggregatorHandle, StatsAggregatorHandleV2, StatsAggregatorSummary, StopGradient, StridedSlice, StridedSliceAssign, StridedSliceGrad, StringFormat, StringLength, StringLower, StringUpper, Strip, Sub, Substr, Sum, SummaryWriter, TakeDataset, Tan, Tanh, TanhGrad, TemporaryVariable, TensorArrayGather, TensorArrayPack, TensorArrayRead, TensorArrayScatter, TensorArraySize, TensorArraySplit, TensorArrayUnpack, TensorArrayWrite, TensorDataset, TensorDiag, TensorDiagPart, TensorForestTreeIsInitializedOp, TensorForestTreePredict, TensorForestTreeResourceHandleOp, TensorForestTreeSerialize, TensorForestTreeSize, TensorListConcatLists, TensorListElementShape, TensorListFromTensor, TensorListGather, TensorListGetItem, TensorListLength, TensorListPushBack, TensorListPushBackBatch, TensorListReserve, TensorListResize, TensorListScatter, TensorListScatterIntoExistingList, TensorListScatterV2, TensorListSetItem, TensorListSplit, TensorListStack, TensorScatterAdd, TensorScatterSub, TensorScatterUpdate, TensorSliceDataset, TensorStridedSliceUpdate, TensorSummary, TextLineDataset, TextLineReader, TfRecordDataset, TfRecordReader, ThreadPoolDataset, ThreadPoolHandle, Tile, TileGrad, Timestamp, ToHashBucket, ToHashBucketFast, ToHashBucketStrong, ToNumber, TPUCompilationResult, TPUEmbeddingActivations, TPUOrdinalSelector, TPUReplicatedInput, Transpose, TriangularSolve, TridiagonalMatMul, TridiagonalSolve, TruncateDiv, TruncatedNormal, TruncateMod, Unbatch, UnbatchDataset, UnbatchGrad, UnicodeEncode, UnicodeScript, UnicodeTranscode, UniqueDataset, UnravelIndex, UnsortedSegmentJoin, UnsortedSegmentMax, UnsortedSegmentMin, UnsortedSegmentProd, UnsortedSegmentSum, UnwrapDatasetVariant, UpperBound, VarHandleOp, Variable, VariableShape, VarIsInitializedOp, Where, Where3, WholeFileReader, WindowDataset, WorkerHeartbeat, WrapDatasetVariant, Xdivy, Xlogy, Zeros, ZerosLike, Zeta, ZipDataset

public interface Operand<T>

Interface implemented by operands of a TensorFlow operation.

Example usage:

 // The "decodeJpeg" operation can be used as an operand to the "cast" operation
 Operand<UInt8> decodeJpeg = ops.image().decodeJpeg(...);
 ops.math().cast(decodeJpeg, DataType.FLOAT);

 // The output "y" of the "unique" operation can be used as an operand to the "cast" operation
 Output<Integer> y = ops.array().unique(...).y();
 ops.math().cast(y, Float.class);

 // The "split" operation can be used as operand list to the "concat" operation
 Iterable<? extends Operand<Float>> split = ops.array().split(...);
 ops.array().concat(0, split);
 

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.

Method Detail

asOutput

Output<T> asOutput()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

See Also:

OperationBuilder.addInput(Output)