साथ काम करने वाले चुनिंदा TensorFlow ऑपरेटर

TensorFlow के कोर ऑपरेटर

TensorFlow के मुख्य ऑपरेशन की पूरी सूची नीचे दी गई है. ये सुविधाएं, TensorFlow Ops सुविधा के साथ TensorFlow Lite रनटाइम के साथ काम करती हैं.

raw_ops.Abort
raw_ops.Abs
raw_ops.Add
raw_ops.AddN
raw_ops.AddV2
raw_ops.AdjustContrast
raw_ops.AdjustContrastv2
raw_ops.AdjustHue
raw_ops.AdjustSaturation
raw_ops.All
raw_ops.Angle
raw_ops.Any
raw_ops.ApplyAdadelta
raw_ops.ApplyAdagrad
raw_ops.ApplyAdagradDA
raw_ops.ApplyAdagradV2
raw_ops.ApplyAdam
raw_ops.ApplyAdaMax
raw_ops.ApplyAddSign
raw_ops.ApplyCenteredRMSProp
raw_ops.ApplyFtrl
raw_ops.ApplyFtrlV2
raw_ops.ApplyGradientDescent
raw_ops.ApplyMomentum
raw_ops.ApplyPowerSign
raw_ops.ApplyProximalAdagrad
raw_ops.ApplyProximalGradientDescent
raw_ops.ApplyRMSProp
raw_ops.ApproximateEqual
raw_ops.ArgMax
raw_ops.ArgMin
raw_ops.AsString
raw_ops.Assert
raw_ops.Assign
raw_ops.AssignAdd
raw_ops.AssignAddVariableOp
raw_ops.AssignSub
raw_ops.AssignSubVariableOp
raw_ops.AssignVariableOp
raw_ops.Atan
raw_ops.Atan2
raw_ops.AudioSpectrogram
raw_ops.AvgPool
raw_ops.AvgPool3D
raw_ops.AvgPool3DGrad
raw_ops.AvgPoolGrad
raw_ops.BatchCholesky
raw_ops.BatchDatasetV2
raw_ops.BatchMatMul
raw_ops.BatchMatMulV2
raw_ops.BatchMatrixBandPart
raw_ops.BatchMatrixDiag
raw_ops.BatchMatrixDiagPart
raw_ops.BatchMatrixInverse
raw_ops.BatchMatrixSetDiag
raw_ops.BatchMatrixTriangularSolve
raw_ops.BatchNormWithGlobalNormalization
raw_ops.BatchNormWithGlobalNormalizationGrad
raw_ops.BatchToSpace
raw_ops.BatchToSpaceND
raw_ops.BiasAdd
raw_ops.BiasAddGrad
raw_ops.BiasAddV1
raw_ops.Bincount
raw_ops.Bitcast
raw_ops.BitwiseAnd
raw_ops.BitwiseOr
raw_ops.BitwiseXor
raw_ops.BroadcastArgs
raw_ops.BroadcastGradientArgs
raw_ops.BroadcastTo
raw_ops.Bucketize
raw_ops.CTCBeamSearchDecoder
raw_ops.CTCGreedyDecoder
raw_ops.Case
raw_ops.Cast
raw_ops.Ceil
raw_ops.CheckNumerics
raw_ops.CheckNumericsV2
raw_ops.Cholesky
raw_ops.ClipByValue
raw_ops.CombinedNonMaxSuppression
raw_ops.Complex
raw_ops.ComplexAbs
raw_ops.Concat
raw_ops.ConcatOffset
raw_ops.ConcatV2
raw_ops.Conj
raw_ops.ConjugateTranspose
raw_ops.Const
raw_ops.ControlTrigger
raw_ops.Conv2D
raw_ops.Conv2DBackpropFilter
raw_ops.Conv2DBackpropInput
raw_ops.Conv3D
raw_ops.Conv3DBackpropFilter
raw_ops.Conv3DBackpropFilterV2
raw_ops.Conv3DBackpropInput
raw_ops.Conv3DBackpropInputV2
raw_ops.Cos
raw_ops.Cosh
raw_ops.CropAndResize
raw_ops.CropAndResizeGradBoxes
raw_ops.CropAndResizeGradImage
raw_ops.CTCBeamSearchDecoder
raw_ops.CTCGreedyDecoder
raw_ops.Cumprod
raw_ops.Cumsum
raw_ops.CumulativeLogsumexp
raw_ops.DataFormatDimMap
raw_ops.DataFormatVecPermute
raw_ops.DebugGradientIdentity
raw_ops.DebugGradientRefIdentity
raw_ops.DecodeAndCropJpeg
raw_ops.DecodeBase64
raw_ops.DecodeBmp
raw_ops.DecodeGif
raw_ops.DecodeImage
raw_ops.DecodeJpeg
raw_ops.DecodePaddedRaw
raw_ops.DecodePng
raw_ops.DecodeRaw
raw_ops.DecodeWav
raw_ops.DeepCopy
raw_ops.DeleteSessionTensor
raw_ops.DenseBincount
raw_ops.DenseToDenseSetOperation
raw_ops.DenseToSparseSetOperation
raw_ops.DepthToSpace
raw_ops.DepthwiseConv2dNative
raw_ops.DepthwiseConv2dNativeBackpropFilter
raw_ops.DepthwiseConv2dNativeBackpropInput
raw_ops.Dequantize
raw_ops.DestroyResourceOp
raw_ops.DestroyTemporaryVariable
raw_ops.Diag
raw_ops.DiagPart
raw_ops.Dilation2D
raw_ops.Dilation2DBackpropFilter
raw_ops.Dilation2DBackpropInput
raw_ops.Div
raw_ops.DivNoNan
raw_ops.DynamicPartition
raw_ops.DynamicStitch
raw_ops.Einsum
raw_ops.Elu
raw_ops.EluGrad
raw_ops.Empty
raw_ops.EmptyTensorList
raw_ops.EmptyTensorMap
raw_ops.EncodeBase64
raw_ops.EncodeJpeg
raw_ops.EncodeJpegVariableQuality
raw_ops.EncodePng
raw_ops.EncodeWav
raw_ops.EnsureShape
raw_ops.Enter
raw_ops.Equal
raw_ops.Erf
raw_ops.Exit
raw_ops.Exp
raw_ops.ExpandDims
raw_ops.ExtractImagePatches
raw_ops.FakeQuantWithMinMaxArgs
raw_ops.FakeQuantWithMinMaxArgsGradient
raw_ops.FakeQuantWithMinMaxVars
raw_ops.FakeQuantWithMinMaxVarsGradient
raw_ops.FakeQuantWithMinMaxVarsPerChannel
raw_ops.FakeQuantWithMinMaxVarsPerChannelGradient
raw_ops.FakeQueue
raw_ops.FFT
raw_ops.FFT2D
raw_ops.FFT3D
raw_ops.FIFOQueue
raw_ops.FIFOQueueV2
raw_ops.Fill
raw_ops.FilterDataset
raw_ops.FinalizeDataset
raw_ops.Fingerprint
raw_ops.FlatMapDataset
raw_ops.Floor
raw_ops.FloorDiv
raw_ops.FloorMod
raw_ops.FusedBatchNorm
raw_ops.FusedBatchNormGrad
raw_ops.FusedBatchNormGradV2
raw_ops.FusedBatchNormGradV3
raw_ops.FusedBatchNormV2
raw_ops.FusedBatchNormV3
raw_ops.FusedPadConv2D
raw_ops.FusedResizeAndPadConv2D
raw_ops.Gather
raw_ops.GatherNd
raw_ops.GatherV2
raw_ops.GetSessionHandle
raw_ops.GetSessionHandleV2
raw_ops.GetSessionTensor
raw_ops.Greater
raw_ops.GreaterEqual
raw_ops.HSVToRGB
raw_ops.HashTable
raw_ops.HashTableV2
raw_ops.HistogramSummary
raw_ops.Identity
raw_ops.IdentityN
raw_ops.IFFT
raw_ops.IFFT2D
raw_ops.IFFT3D
raw_ops.Imag
raw_ops.ImageProjectiveTransformV2
raw_ops.ImageProjectiveTransformV3
raw_ops.ImmutableConst
raw_ops.InplaceAdd
raw_ops.InplaceSub
raw_ops.InplaceUpdate
raw_ops.InTopK
raw_ops.InTopKV2
raw_ops.InitializeTable
raw_ops.InitializeTableFromDataset
raw_ops.InitializeTableFromTextFile
raw_ops.InitializeTableFromTextFileV2
raw_ops.InitializeTableV2
raw_ops.Inv
raw_ops.Invert
raw_ops.InvertPermutation
raw_ops.InvGrad
raw_ops.IRFFT
raw_ops.IRFFT2D
raw_ops.IRFFT3D
raw_ops.IsFinite
raw_ops.IsNan
raw_ops.IsVariableInitialized
raw_ops.LRN
raw_ops.LeakyRelu
raw_ops.LeakyReluGrad
raw_ops.LeftShift
raw_ops.Less
raw_ops.LessEqual
raw_ops.LinSpace
raw_ops.ListDiff
raw_ops.Log
raw_ops.LogMatrixDeterminant
raw_ops.LogSoftmax
raw_ops.LogicalAnd
raw_ops.LogicalNot
raw_ops.LogicalOr
raw_ops.LookupTableExport
raw_ops.LookupTableExportV2
raw_ops.LookupTableFind
raw_ops.LookupTableFindV2
raw_ops.LookupTableImport
raw_ops.LookupTableImportV2
raw_ops.LookupTableInsert
raw_ops.LookupTableInsertV2
raw_ops.LookupTableRemoveV2
raw_ops.LookupTableSize
raw_ops.LookupTableSizeV2
raw_ops.LoopCond
raw_ops.LRN
raw_ops.MapDataset
raw_ops.MatMul
raw_ops.MatrixBandPart
raw_ops.MatrixDiag
raw_ops.MatrixDiagPart
raw_ops.MatrixDiagPartV2
raw_ops.MatrixDiagPartV3
raw_ops.MatrixDiagV2
raw_ops.MatrixDiagV3
raw_ops.MatrixInverse
raw_ops.MatrixSetDiag
raw_ops.MatrixSetDiagV2
raw_ops.MatrixSetDiagV3
raw_ops.MatrixTriangularSolve
raw_ops.Max
raw_ops.Maximum
raw_ops.MaxPool
raw_ops.MaxPool3D
raw_ops.MaxPool3DGrad
raw_ops.MaxPool3DGradGrad
raw_ops.MaxPoolGrad
raw_ops.MaxPoolGradGrad
raw_ops.MaxPoolGradGradV2
raw_ops.MaxPoolGradV2
raw_ops.MaxPoolGradWithArgmax
raw_ops.MaxPoolV2
raw_ops.MaxPoolWithArgmax
raw_ops.Mean
raw_ops.Merge
raw_ops.MergeSummary
raw_ops.MergeV2Checkpoints
raw_ops.Mfcc
raw_ops.Min
raw_ops.Minimum
raw_ops.MirrorPad
raw_ops.MirrorPadGrad
raw_ops.ModelDataset
raw_ops.Mul
raw_ops.MulNoNan
raw_ops.Multinomial
raw_ops.MutableDenseHashTable
raw_ops.MutableDenseHashTableV2
raw_ops.MutableHashTable
raw_ops.MutableHashTableOfTensors
raw_ops.MutableHashTableOfTensorsV2
raw_ops.MutableHashTableV2
raw_ops.Neg
raw_ops.NextIteration
raw_ops.NonMaxSuppression
raw_ops.NonMaxSuppressionV2
raw_ops.NonMaxSuppressionV3
raw_ops.NonMaxSuppressionV4
raw_ops.NonMaxSuppressionV5
raw_ops.NonMaxSuppressionWithOverlaps
raw_ops.NoOp
raw_ops.NotEqual
raw_ops.OneHot
raw_ops.OnesLike
raw_ops.OptimizeDatasetV2
raw_ops.OptionalFromValue
raw_ops.OptionalGetValue
raw_ops.OptionalHasValue
raw_ops.OptionalNone
raw_ops.Pack
raw_ops.Pad
raw_ops.PadV2
raw_ops.PaddingFIFOQueue
raw_ops.PaddingFIFOQueueV2
raw_ops.PadV2
raw_ops.ParallelConcat
raw_ops.ParallelDynamicStitch
raw_ops.ParseExample
raw_ops.ParseExampleV2
raw_ops.ParseSequenceExample
raw_ops.ParseSequenceExampleV2
raw_ops.ParseSingleExample
raw_ops.ParseSingleSequenceExample
raw_ops.Placeholder
raw_ops.PlaceholderV2
raw_ops.PlaceholderWithDefault
raw_ops.PopulationCount
raw_ops.Pow
raw_ops.PreventGradient
raw_ops.Print
raw_ops.PrintV2
raw_ops.Prod
raw_ops.Qr
raw_ops.QuantizedAdd
raw_ops.QuantizedAvgPool
raw_ops.QuantizedBatchNormWithGlobalNormalization
raw_ops.QuantizedBiasAdd
raw_ops.QuantizedConcat
raw_ops.QuantizedConv2D
raw_ops.QuantizedInstanceNorm
raw_ops.QuantizedMatMul
raw_ops.QuantizedMaxPool
raw_ops.QuantizedMul
raw_ops.QuantizeDownAndShrinkRange
raw_ops.QuantizedRelu
raw_ops.QuantizedRelu6
raw_ops.QuantizedReshape
raw_ops.QuantizedResizeBilinear
raw_ops.QuantizeV2
raw_ops.QueueClose
raw_ops.QueueCloseV2
raw_ops.QueueDequeue
raw_ops.QueueDequeueMany
raw_ops.QueueDequeueManyV2
raw_ops.QueueDequeueUpTo
raw_ops.QueueDequeueUpToV2
raw_ops.QueueDequeueV2
raw_ops.QueueEnqueue
raw_ops.QueueEnqueueMany
raw_ops.QueueEnqueueManyV2
raw_ops.QueueEnqueueV2
raw_ops.QueueIsClosed
raw_ops.QueueIsClosedV2
raw_ops.QueueSize
raw_ops.QueueSizeV2
raw_ops.RFFT
raw_ops.RFFT2D
raw_ops.RFFT3D
raw_ops.RGBToHSV
raw_ops.RaggedBincount
raw_ops.RaggedGather
raw_ops.RaggedRange
raw_ops.RaggedTensorFromVariant
raw_ops.RaggedTensorToSparse
raw_ops.RaggedTensorToTensor
raw_ops.RaggedTensorToVariant
raw_ops.RaggedTensorToVariantGradient
raw_ops.RandomGamma
raw_ops.RandomPoisson
raw_ops.RandomPoissonV2
raw_ops.RandomShuffle
raw_ops.RandomStandardNormal
raw_ops.RandomUniform
raw_ops.RandomUniformInt
raw_ops.Range
raw_ops.Rank
raw_ops.ReadFile
raw_ops.ReadVariableOp
raw_ops.Real
raw_ops.RealDiv
raw_ops.Reciprocal
raw_ops.ReciprocalGrad
raw_ops.Recv
raw_ops.ReduceDataset
raw_ops.ReduceJoin
raw_ops.RefEnter
raw_ops.RefExit
raw_ops.RefIdentity
raw_ops.RefMerge
raw_ops.RefNextIteration
raw_ops.RefSelect
raw_ops.RefSwitch
raw_ops.RegexFullMatch
raw_ops.RegexReplace
raw_ops.Relu
raw_ops.Relu6
raw_ops.Relu6Grad
raw_ops.ReluGrad
raw_ops.RemoteCall
raw_ops.RepeatDataset
raw_ops.RequantizationRange
raw_ops.Requantize
raw_ops.Reshape
raw_ops.ResizeBicubic
raw_ops.ResizeBicubicGrad
raw_ops.ResizeBilinear
raw_ops.ResizeBilinearGrad
raw_ops.ResizeNearestNeighbor
raw_ops.ResizeNearestNeighborGrad
raw_ops.ResourceApplyAdadelta
raw_ops.ResourceApplyAdagrad
raw_ops.ResourceApplyAdagradDA
raw_ops.ResourceApplyAdagradV2
raw_ops.ResourceApplyAdam
raw_ops.ResourceApplyAdaMax
raw_ops.ResourceApplyAdamWithAmsgrad
raw_ops.ResourceApplyAddSign
raw_ops.ResourceApplyCenteredRMSProp
raw_ops.ResourceApplyFtrl
raw_ops.ResourceApplyFtrlV2
raw_ops.ResourceApplyGradientDescent
raw_ops.ResourceApplyKerasMomentum
raw_ops.ResourceApplyMomentum
raw_ops.ResourceApplyPowerSign
raw_ops.ResourceApplyProximalAdagrad
raw_ops.ResourceApplyProximalGradientDescent
raw_ops.ResourceApplyRMSProp
raw_ops.ResourceGather
raw_ops.ResourceGatherNd
raw_ops.ResourceScatterAdd
raw_ops.ResourceScatterDiv
raw_ops.ResourceScatterMax
raw_ops.ResourceScatterMin
raw_ops.ResourceScatterMul
raw_ops.ResourceScatterNdAdd
raw_ops.ResourceScatterNdMax
raw_ops.ResourceScatterNdMin
raw_ops.ResourceScatterNdSub
raw_ops.ResourceScatterNdUpdate
raw_ops.ResourceScatterSub
raw_ops.ResourceScatterUpdate
raw_ops.ResourceSparseApplyAdadelta
raw_ops.ResourceSparseApplyAdagrad
raw_ops.ResourceSparseApplyAdagradDA
raw_ops.ResourceSparseApplyAdagradV2
raw_ops.ResourceSparseApplyCenteredRMSProp
raw_ops.ResourceSparseApplyFtrl
raw_ops.ResourceSparseApplyFtrlV2
raw_ops.ResourceSparseApplyKerasMomentum
raw_ops.ResourceSparseApplyMomentum
raw_ops.ResourceSparseApplyProximalAdagrad
raw_ops.ResourceSparseApplyProximalGradientDescent
raw_ops.ResourceSparseApplyRMSProp
raw_ops.ResourceStridedSliceAssign
raw_ops.Restore
raw_ops.RestoreSlice
raw_ops.RestoreV2
raw_ops.Reverse
raw_ops.ReverseSequence
raw_ops.ReverseV2
raw_ops.RightShift
raw_ops.Roll
raw_ops.Round
raw_ops.Rsqrt
raw_ops.RsqrtGrad
raw_ops.SampleDistortedBoundingBox
raw_ops.SampleDistortedBoundingBoxV2
raw_ops.Save
raw_ops.SaveSlices
raw_ops.SaveV2
raw_ops.ScalarSummary
raw_ops.ScatterNd
raw_ops.ScatterNdAdd
raw_ops.ScatterNdMax
raw_ops.ScatterNdMin
raw_ops.ScatterNdNonAliasingAdd
raw_ops.ScatterNdSub
raw_ops.ScatterNdUpdate
raw_ops.SegmentMax
raw_ops.SegmentMean
raw_ops.SegmentMin
raw_ops.SegmentProd
raw_ops.SegmentSum
raw_ops.Select
raw_ops.SelectV2
raw_ops.Selu
raw_ops.SeluGrad
raw_ops.Send
raw_ops.SerializeTensor
raw_ops.Shape
raw_ops.ShapeN
raw_ops.ShardedFilename
raw_ops.ShardedFilespec
raw_ops.Sigmoid
raw_ops.SigmoidGrad
raw_ops.Sign
raw_ops.Sin
raw_ops.Sinh
raw_ops.Size
raw_ops.Slice
raw_ops.Softmax
raw_ops.SoftmaxCrossEntropyWithLogits
raw_ops.Softplus
raw_ops.SoftplusGrad
raw_ops.Softsign
raw_ops.SoftsignGrad
raw_ops.SpaceToBatch
raw_ops.SpaceToBatchND
raw_ops.SpaceToDepth
raw_ops.SparseAdd
raw_ops.SparseApplyAdadelta
raw_ops.SparseApplyAdagrad
raw_ops.SparseApplyAdagradDA
raw_ops.SparseApplyAdagradV2
raw_ops.SparseApplyCenteredRMSProp
raw_ops.SparseApplyFtrl
raw_ops.SparseApplyFtrlV2
raw_ops.SparseApplyMomentum
raw_ops.SparseApplyProximalAdagrad
raw_ops.SparseApplyProximalGradientDescent
raw_ops.SparseApplyRMSProp
raw_ops.SparseBincount
raw_ops.SparseCross
raw_ops.SparseCrossHashed
raw_ops.SparseCrossV2
raw_ops.SparseFillEmptyRows
raw_ops.SparseFillEmptyRowsGrad
raw_ops.SparseReduceSum
raw_ops.SparseReshape
raw_ops.SparseReorder
raw_ops.SparseSegmentMean
raw_ops.SparseSegmentMeanGrad
raw_ops.SparseSegmentMeanWithNumSegments
raw_ops.SparseSegmentSqrtN
raw_ops.SparseSegmentSqrtNGrad
raw_ops.SparseSegmentSqrtNWithNumSegments
raw_ops.SparseSegmentSum
raw_ops.SparseSegmentSumGrad
raw_ops.SparseSegmentSumWithNumSegments
raw_ops.SparseSlice
raw_ops.SparseSoftmaxCrossEntropyWithLogits
raw_ops.SparseTensorDenseMatMul
raw_ops.SparseToDense
raw_ops.SparseToSparseSetOperation
raw_ops.Split
raw_ops.SplitV
raw_ops.Sqrt
raw_ops.SqrtGrad
raw_ops.Square
raw_ops.SquaredDifference
raw_ops.Squeeze
raw_ops.Stack
raw_ops.StackClose
raw_ops.StackCloseV2
raw_ops.StackPop
raw_ops.StackPopV2
raw_ops.StackPush
raw_ops.StackPushV2
raw_ops.StackV2
raw_ops.StatelessMultinomial
raw_ops.StatelessRandomGammaV2
raw_ops.StatelessRandomGammaV3
raw_ops.StatelessRandomGetAlg
raw_ops.StatelessRandomGetKeyCounter
raw_ops.StatelessRandomGetKeyCounterAlg
raw_ops.StatelessRandomNormal
raw_ops.StatelessRandomNormalV2
raw_ops.StatelessRandomPoisson
raw_ops.StatelessRandomUniform
raw_ops.StatelessRandomUniformFullInt
raw_ops.StatelessRandomUniformFullIntV2
raw_ops.StatelessRandomUniformInt
raw_ops.StatelessRandomUniformIntV2
raw_ops.StatelessRandomUniformV2
raw_ops.StatelessSampleDistortedBoundingBox
raw_ops.StatelessTruncatedNormal
raw_ops.StatelessTruncatedNormalV2
raw_ops.StaticRegexFullMatch
raw_ops.StaticRegexReplace
raw_ops.StopGradient
raw_ops.StridedSlice
raw_ops.StridedSliceAssign
raw_ops.StridedSliceGrad
raw_ops.StringFormat
raw_ops.StringJoin
raw_ops.StringLength
raw_ops.StringLower
raw_ops.StringSplit
raw_ops.StringSplitV2
raw_ops.StringStrip
raw_ops.StringToHashBucket
raw_ops.StringToHashBucketFast
raw_ops.StringToHashBucketStrong
raw_ops.StringToNumber
raw_ops.Sub
raw_ops.Substr
raw_ops.Sum
raw_ops.Switch
raw_ops.SymbolicGradient
raw_ops.TakeDataset
raw_ops.TakeWhileDataset
raw_ops.Tan
raw_ops.Tanh
raw_ops.TanhGrad
raw_ops.TemporaryVariable
raw_ops.TensorArray
raw_ops.TensorArrayClose
raw_ops.TensorArrayCloseV2
raw_ops.TensorArrayCloseV3
raw_ops.TensorArrayConcat
raw_ops.TensorArrayConcatV2
raw_ops.TensorArrayConcatV3
raw_ops.TensorArrayGather
raw_ops.TensorArrayGatherV2
raw_ops.TensorArrayGatherV3
raw_ops.TensorArrayGrad
raw_ops.TensorArrayGradV2
raw_ops.TensorArrayGradV3
raw_ops.TensorArrayGradWithShape
raw_ops.TensorArrayPack
raw_ops.TensorArrayRead
raw_ops.TensorArrayReadV2
raw_ops.TensorArrayReadV3
raw_ops.TensorArrayScatter
raw_ops.TensorArrayScatterV2
raw_ops.TensorArrayScatterV3
raw_ops.TensorArraySize
raw_ops.TensorArraySizeV2
raw_ops.TensorArraySizeV3
raw_ops.TensorArraySplit
raw_ops.TensorArraySplitV2
raw_ops.TensorArraySplitV3
raw_ops.TensorArrayUnpack
raw_ops.TensorArrayV2
raw_ops.TensorArrayV3
raw_ops.TensorArrayWrite
raw_ops.TensorArrayWriteV2
raw_ops.TensorArrayWriteV3
raw_ops.TensorListConcat
raw_ops.TensorListConcatLists
raw_ops.TensorListConcatV2
raw_ops.TensorListElementShape
raw_ops.TensorListFromTensor
raw_ops.TensorListGather
raw_ops.TensorListGetItem
raw_ops.TensorListLength
raw_ops.TensorListPopBack
raw_ops.TensorListPushBack
raw_ops.TensorListPushBackBatch
raw_ops.TensorListReserve
raw_ops.TensorListResize
raw_ops.TensorListScatter
raw_ops.TensorListScatterIntoExistingList
raw_ops.TensorListScatterV2
raw_ops.TensorListSetItem
raw_ops.TensorListSplit
raw_ops.TensorListStack
raw_ops.TensorMapErase
raw_ops.TensorMapHasKey
raw_ops.TensorMapInsert
raw_ops.TensorMapLookup
raw_ops.TensorMapSize
raw_ops.TensorMapStackKeys
raw_ops.TensorScatterAdd
raw_ops.TensorScatterMax
raw_ops.TensorScatterMin
raw_ops.TensorScatterSub
raw_ops.TensorScatterUpdate
raw_ops.TensorSliceDataset
raw_ops.TensorStridedSliceUpdate
raw_ops.Tile
raw_ops.TileGrad
raw_ops.Timestamp
raw_ops.TokenizerFromLogits
raw_ops.TopK
raw_ops.TopKV2
raw_ops.Transpose
raw_ops.TruncateDiv
raw_ops.TruncatedNormal
raw_ops.UnicodeDecode
raw_ops.UnicodeDecodeWithOffsets
raw_ops.UnicodeEncode
raw_ops.UnicodeTranscode
raw_ops.Unique
raw_ops.UniqueV2
raw_ops.UniqueWithCounts
raw_ops.UniqueWithCountsV2
raw_ops.Unpack
raw_ops.UnsortedSegmentJoin
raw_ops.UnsortedSegmentMax
raw_ops.UnsortedSegmentMin
raw_ops.UnsortedSegmentProd
raw_ops.UnsortedSegmentSum
raw_ops.UnwrapDatasetVariant
raw_ops.UpperBound
raw_ops.VarHandleOp
raw_ops.Variable
raw_ops.VariableShape
raw_ops.VariableV2
raw_ops.VarIsInitializedOp
raw_ops.Where
raw_ops.WrapDatasetVariant
raw_ops.WriteFile
raw_ops.Xdivy
raw_ops.Xlog1py
raw_ops.Xlogy
raw_ops.ZerosLike

TensorFlow के टेक्स्ट और वाक्य पार्सल ऑपरेटर

अगर कन्वर्ज़न के लिए Python API का इस्तेमाल करके, उन लाइब्रेरी को इंपोर्ट किया जाता है, तो यहां दिए गए TensorFlow Text और SentencePiece ऑपरेटर काम करते हैं.

TF.Text ऑपरेटर:

CaseFoldUTF8
ConstrainedSequence
MaxSpanningTree
NormalizeUTF8
NormalizeUTF8WithOffsetsMap
RegexSplitWithOffsets
RougeL
SentenceFragments
SentencepieceOp
SentencepieceTokenizeOp
SentencepieceTokenizeWithOffsetsOp
SentencepieceDetokenizeOp
SentencepieceVocabSizeOp
SplitMergeTokenizeWithOffsets
UnicodeScriptTokenizeWithOffsets
WhitespaceTokenizeWithOffsets
WordpieceTokenizeWithOffsets

StencePiece ऑपरेटर:

SentencepieceGetPieceSize
SentencepiecePieceToId
SentencepieceIdToPiece
SentencepieceEncodeDense
SentencepieceEncodeSparse
SentencepieceDecode

नीचे दिया गया स्निपेट, ऊपर दिए गए ऑपरेटर के साथ मॉडल बदलने का तरीका बताता है:

import tensorflow as tf
# These imports are required to load operators' definition.
import tensorflow_text as tf_text
import sentencepiece as spm

converter = tf.lite.TFLiteConverter.from_keras_model(your_model)
converter.target_spec.supported_ops = [
  tf.lite.OpsSet.TFLITE_BUILTINS, tf.lite.OpsSet.SELECT_TF_OPS
]
model_data = converter.convert()

रनटाइम साइड पर, TensorFlow टेक्स्ट या सेंटेंसपीस लाइब्रेरी को फ़ाइनल ऐप्लिकेशन या बाइनरी से जोड़ना भी ज़रूरी होता है.

उपयोगकर्ता के तय किए गए ऑपरेटर

ध्यान दें: यह सुविधा सिर्फ़ TensorFlow के 2.5 वर्शन में उपलब्ध है

अगर आपने अपने TensorFlow ऑपरेटर बनाए हैं, तो उनके साथ वाले मॉडल को भी TensorFlow Lite में बदला जा सकता है. इसके लिए, experimental_select_user_tf_ops में ज़रूरी ऑपरेटर की सूची बनाएं. ऐसा करने के लिए, यहां दिया गया तरीका अपनाएं:

import tensorflow as tf

ops_module = tf.load_op_library('./your_ops_library.so')

converter = tf.lite.TFLiteConverter.from_saved_model(your_model)
converter.target_spec.supported_ops = [
  tf.lite.OpsSet.TFLITE_BUILTINS, tf.lite.OpsSet.SELECT_TF_OPS
]
converter.target_spec.experimental_select_user_tf_ops = [
    'your_op_name1',
    'your_op_name2'
]
model_data = converter.convert()

रनटाइम साइड पर, अपनी ऑपरेटर लाइब्रेरी को फ़ाइनल ऐप्लिकेशन या बाइनरी से लिंक करना भी ज़रूरी होता है.

अनुमति वाली सूची में, TensorFlow के मुख्य ऑपरेटर जोड़ें.

अगर ऐसा होता है कि TensorFlow के मुख्य ऑपरेटर, ऊपर दी गई सूची में नहीं हैं, तो सुविधा के अनुरोध की शिकायत यहां की जा सकती है. इसके लिए, TensorFlow के कोर ऑपरेटर के नाम, अनुमति वाली सूची में नहीं दिए गए हैं.

सोर्स कोड से खुद भी पुल अनुरोध बनाया जा सकता है. उदाहरण के लिए, अगर आपको अनुमति वाली सूची में raw_ops.StringToNumber ऑपरेटर को जोड़ना है, तो इसकी समीक्षा करने, अपडेट करने की तीन जगहें हैं.

(1) portable_extended_ops_group2 BUILD नियम में ऑपरेटर कर्नेल सोर्स कोड जोड़ें.

filegroup(
    name = "portable_extended_ops_group2",
    srcs = [
        ...
+   "string_to_number_op.cc",

        ...
    ],
)

tensorflow/core/kernels डायरेक्ट्री में, सही ऑपरेटर kernel सोर्स फ़ाइल ढूंढने के लिए, सोर्स कोड की जगह खोजें. इसमें ऑपरेटर के नाम के साथ यह कर्नेल घोषणा दी गई है:

REGISTER_KERNEL_BUILDER(Name("StringToNumber")                 \
                            .Device(DEVICE_CPU)                \
                            .TypeConstraint<type>("out_type"), \
                        StringToNumberOp<type>)

अगर tensorflow/core/kernels डायरेक्ट्री में कोई हेडर फ़ाइल है, जो ऑपरेटर कर्नेल सोर्स कोड के लिए ज़रूरी है, तो आपको हेडर फ़ाइल को portable_extended_ops_headers BUILD नियम में इस तरह जोड़ना होगा:

filegroup(
    name = "portable_extended_ops_headers",
    srcs = [
        ...
+   "string_util.h",

        ...
    ],
)

(2) ऑपरेटर का नाम अनुमति वाली सूची में जोड़ें.

अनुमति वाली सूची के बारे में tensorflow/lite/delegates/flex/allowlisted_flex_ops.cc में बताया गया है. TensorFlow के कोर ऑपरेटर का नाम सूची में शामिल होना ज़रूरी है, ताकि TF को चुनें विकल्प के ज़रिए अनुमति दी जा सके.

static const std::set<std::string>* allowlisted_flex_ops =
    new std::set<std::string>({
        ...
+   "StringToNumber",

        ...
    });

ऊपर दी गई सूची को वर्णमाला के क्रम में लगाया गया है, इसलिए यह पक्का करता है कि नाम सही जगह पर हो.

(3) इस गाइड पेज पर ऑपरेटर का नाम जोड़ें.

अन्य डेवलपर को ऑपरेटर शामिल करने से जुड़ी जानकारी दिखाने के लिए, गाइड के इस पेज को भी अपडेट करना ज़रूरी है. यह पेज tensorflow/lite/g3doc/guide/op_select_allowlist.md पर मौजूद है.

## TensorFlow core operators

The following is an exhaustive list of TensorFlow core operations that are
supported by TensorFlow Lite runtime with the Select TensorFlow Ops feature.

...
+*   `raw_ops.StringToNumber`
...