mirror of
https://github.com/saymrwulf/pytorch.git
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730 lines
13 KiB
Markdown
730 lines
13 KiB
Markdown
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# Serialized Test Coverage Report
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This is an automatically generated file. Please see `caffe2/python/serialized_test/README.md` for details. In the case of merge conflicts, please rebase and regenerate.
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## Summary
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Serialized tests have covered 217/684 (31.7%) operators
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## Not covered operators
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<details>
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<summary>There are 467 not covered operators</summary>
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* APMeter
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* ATen
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* Abs
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* AbsGradient
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* Accumulate
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* AccumulateHistogram
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* Accuracy
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* Adam
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* Add
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* AddGradient
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* Alias
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* Allgather
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* Allreduce
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* And
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* Append
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* Assert
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* AtomicAppend
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* AtomicFetchAdd
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* AtomicIter
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* AveragePool
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* AveragePool1D
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* AveragePool1DGradient
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* AveragePool2D
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* AveragePool2DGradient
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* AveragePool3D
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* AveragePool3DGradient
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* AveragePoolGradient
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* AveragePut
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* BRGNCHWCToPackedInt8BGRAStylizerDeprocess
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* Barrier
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* BatchToSpace
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* BisectPercentile
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* BitwiseAnd
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* BitwiseOr
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* BitwiseXor
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* BooleanMaskLengths
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* Broadcast
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* ByteWeightDequant
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* Cast
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* Cbrt
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* CbrtGradient
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* CheckAtomicBool
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* CheckCounterDone
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* CheckDatasetConsistency
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* Checkpoint
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* CloneCommonWorld
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* CloseBlobsQueue
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* CloseRebatchingQueue
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* Col2Im
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* CollectTensor
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* ComputeOffset
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* ConcatTensorVector
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* ConditionalSetAtomicBool
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* Conv1D
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* Conv1DGradient
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* Conv2D
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* Conv2DGradient
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* Conv3D
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* Conv3DGradient
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* ConvTranspose
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* ConvTransposeGradient
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* Copy
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* CopyFromCPUInput
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* CopyOnDeviceLike
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* Cos
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* CosGradient
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* CosineSimilarity
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* CosineSimilarityGradient
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* CountDown
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* CountUp
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* CreateAtomicBool
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* CreateBlobsQueue
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* CreateBlobsQueueDB
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* CreateCommonWorld
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* CreateCounter
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* CreateDB
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* CreateMap
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* CreateMutex
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* CreateRebatchingQueue
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* CreateScope
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* CreateTensorVector
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* CreateTextFileReader
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* CreateTreeCursor
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* CrossEntropy
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* CrossEntropyGradient
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* Cube
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* CubeGradient
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* DBExists
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* DataCouple
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* DepthConcat
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* DepthSplit
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* DequeueBlobs
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* DequeueRebatchingQueue
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* DestroyCommonWorld
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* Div
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* DivGradient
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* Do
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* DotProductWithPadding
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* DotProductWithPaddingGradient
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* EQ
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* EnforceFinite
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* EnqueueBlobs
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* EnqueueRebatchingQueue
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* EnsureCPUOutput
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* EnsureClipped
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* EnsureDense
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* Exp
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* ExpandDims
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* FCTransposed
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* FCTransposedGradient
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* Fail
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* FeedBlob
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* FileStoreHandlerCreate
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* Flatten
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* FlattenToVec
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* FloatToFused8BitRowwiseQuantized
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* FloatToFusedRandRowwiseQuantized
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* FloatToRowwiseQuantized8Bits
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* Free
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* Ftrl
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* Fused8BitRowwiseQuantizedToFloat
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* Fused8BitRowwiseQuantizedToHalfFloat
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* FusedRandRowwiseQuantizedToFloat
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* GE
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* GFtrl
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* GT
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* GatherByKey
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* GatherFused8BitRowwise
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* GaussianFill
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* GenerateProposals
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* GenerateProposalsCPP
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* GetAllBlobNames
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* GetCursorOffset
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* GivenTensorBoolFill
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* GivenTensorByteStringToUInt8Fill
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* GivenTensorDoubleFill
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* GivenTensorFill
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* GivenTensorInt64Fill
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* GivenTensorIntFill
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* GivenTensorStringFill
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* HSoftmax
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* HSoftmaxGradient
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* HSoftmaxSearch
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* HalfFloatToFused8BitRowwiseQuantized
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* HardSigmoid
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* HardSigmoidGradient
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* HasElements
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* HasScope
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* HeatmapMaxKeypoint
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* HuffmanTreeHierarchy
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* If
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* Im2Col
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* IncrementPut
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* IndexFreeze
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* IndexGet
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* IndexLoad
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* IndexSize
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* IndexStore
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* Int8Add
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* Int8AddRelu
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* Int8AveragePool
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* Int8AveragePoolRelu
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* Int8ChannelShuffle
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* Int8Concat
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* Int8Conv
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* Int8ConvRelu
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* Int8ConvTranspose
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* Int8Dequantize
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* Int8FC
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* Int8Flatten
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* Int8GivenIntTensorFill
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* Int8GivenTensorFill
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* Int8LeakyRelu
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* Int8MaxPool
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* Int8MaxPoolRelu
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* Int8Quantize
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* Int8Relu
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* Int8Reshape
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* Int8ResizeNearest
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* Int8RoIAlign
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* Int8Sigmoid
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* Int8Slice
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* Int8Softmax
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* Int8Sum
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* Int8SumRelu
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* IntIndexCreate
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* IsEmpty
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* Iter
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* KeySplit
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* KeyValueToMap
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* L1Distance
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* L1DistanceGradient
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* LC1D
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* LC1DGradient
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* LC2D
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* LC2DGradient
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* LC3D
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* LC3DGradient
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* LE
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* LRN
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* LRNGradient
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* LSTMUnit
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* LSTMUnitGradient
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* LT
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* LabelCrossEntropy
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* LabelCrossEntropyGradient
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* LambdaRankNdcg
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* LambdaRankNdcgGradient
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* Lars
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* LastNWindowCollector
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* LayerNorm
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* LengthsIndicesInGradientMeanGradient
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* LengthsIndicesInGradientSumGradient
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* LengthsMax
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* LengthsMaxWithMainInputAndForwardOutputGradient
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* LengthsMean
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* LengthsMeanGradient
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* LengthsPartition
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* LengthsSumGradient
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* LengthsToSegmentIds
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* LengthsToShape
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* LengthsToWeights
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* LengthsWeightedSum
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* LengthsWeightedSumGradient
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* LengthsWeightedSumWithMainInputGradient
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* Load
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* LogFatal
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* Logit
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* LogitGradient
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* LongIndexCreate
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* LpNorm
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* LpNormGradient
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* LpPool
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* LpPoolGradient
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* MSRAFill
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* MakeTwoClass
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* MakeTwoClassGradient
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* MapToKeyValue
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* MaxPool
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* MaxPool1D
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* MaxPool1DGradient
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* MaxPool2D
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* MaxPool2DGradient
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* MaxPool3D
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* MaxPool3DGradient
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* MaxPoolGradient
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* MergeDim
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* MergeMultiListFeatureTensors
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* MergeMultiListFeatureTensorsGradient
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* MergeMultiMapFeatureTensors
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* MergeMultiMapFeatureTensorsGradient
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* MergeMultiScalarFeatureTensors
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* MergeMultiScalarFeatureTensorsGradient
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* MergeSingleListFeatureTensors
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* MergeSingleListFeatureTensorsGradient
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* MergeSingleMapFeatureTensors
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* MergeSingleMapFeatureTensorsGradient
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* MergeSingleScalarFeatureTensors
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* MergeSingleScalarFeatureTensorsGradient
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* Mod
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* MomentumSGDUpdate
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* MulGradient
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* MultiClassAccuracy
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* NCHW2NHWC
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* NE
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* NGramFromCategorical
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* NHWC2NCHW
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* Normalize
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* NormalizeGradient
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* NormalizeL1
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* NormalizePlanarYUV
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* Not
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* Onnxifi
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* Or
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* PRelu
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* PReluGradient
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* PackRecords
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* PackedInt8BGRANHWCToNCHWCStylizerPreprocess
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* PadEmptySamples
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* Partition
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* Percentile
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* Perplexity
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* PrependDim
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* Print
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* Python
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* PythonDLPack
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* PythonDLPackGradient
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* PythonGradient
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* QuantDecode
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* QuantDecodeGradient
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* RMACRegions
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* Range
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* RangeFill
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* ReadNextBatch
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* ReadRandomBatch
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* ReceiveTensor
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* Reciprocal
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* ReciprocalGradient
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* RecurrentNetworkBlobFetcher
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* Reduce
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* ReduceBackSum
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* ReduceBackSumGradient
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* ReduceFrontWeightedSum
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* ReduceFrontWeightedSumGradient
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* ReduceL1
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* ReduceL1Gradient
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* ReduceScatter
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* ReduceSum
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* ReduceSumGradient
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* ReduceTailSum
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* RemovePadding
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* ReplaceNaN
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* ReservoirSampling
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* ResetCounter
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* ResetCursor
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* Reshape
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* ResizeLike
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* ResizeNearest
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* ResizeNearestGradient
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* RetrieveCount
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* RmsProp
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* RoIAlign
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* RoIAlignGradient
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* RoIAlignRotated
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* RoIPool
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* RoIPoolGradient
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* RowMul
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* RowWiseSparseAdam
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* Rowwise8BitQuantizedToFloat
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* Rsqrt
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* RsqrtGradient
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* SafeDequeueBlobs
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* SafeEnqueueBlobs
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* Save
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* Scale
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* SegmentIdsToLengths
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* SegmentIdsToRanges
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* SendTensor
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* Shape
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* Sigmoid
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* SigmoidCrossEntropyWithLogits
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* SigmoidCrossEntropyWithLogitsGradient
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* SigmoidGradient
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* Sin
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* SinGradient
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* Snapshot
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* Softplus
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* SoftplusGradient
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* Softsign
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* SoftsignGradient
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* SortAndShuffle
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* SortedSegmentMean
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* SortedSegmentMeanGradient
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* SortedSegmentRangeLogMeanExp
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* SortedSegmentRangeLogMeanExpGradient
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* SortedSegmentRangeLogSumExp
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* SortedSegmentRangeLogSumExpGradient
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* SortedSegmentRangeMax
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* SortedSegmentRangeMaxGradient
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* SortedSegmentRangeMean
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* SortedSegmentRangeMeanGradient
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* SortedSegmentRangeSum
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* SortedSegmentRangeSumGradient
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* SortedSegmentSum
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* SortedSegmentSumGradient
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* SortedSegmentWeightedSum
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* SortedSegmentWeightedSumGradient
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* SpaceToBatch
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* SparseAdam
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* SparseFtrl
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* SparseLengthsIndicesInGradientMeanGradient
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* SparseLengthsIndicesInGradientSumGradient
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* SparseLengthsIndicesInGradientWeightedSumGradient
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* SparseLengthsIndicesInGradientWeightedSumWithMainInputGradient
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* SparseLengthsMean
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* SparseLengthsMean8BitsRowwise
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* SparseLengthsMeanFused8BitRowwise
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* SparseLengthsMeanGradient
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* SparseLengthsPositionalWeightedSum
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* SparseLengthsSum
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* SparseLengthsSum8BitsRowwise
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* SparseLengthsSumFused8BitRowwise
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* SparseLengthsSumGradient
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* SparseLengthsWeightedMean8BitsRowwise
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* SparseLengthsWeightedSum
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* SparseLengthsWeightedSum8BitsRowwise
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* SparseLengthsWeightedSumFused8BitRowwise
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* SparseLengthsWeightedSumGradient
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* SparseLengthsWeightedSumWithMainInputGradient
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* SparseNormalize
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* SparseSortedSegmentMean
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* SparseSortedSegmentMeanGradient
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* SparseSortedSegmentSum
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* SparseSortedSegmentSumGradient
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* SparseSortedSegmentWeightedSum
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* SparseSortedSegmentWeightedSumGradient
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* SparseToDense
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* SparseToDenseMask
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* SparseToDenseMaskGradient
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* SparseUnsortedSegmentMean
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* SparseUnsortedSegmentMeanGradient
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* SparseUnsortedSegmentSum
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* SparseUnsortedSegmentSumGradient
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* SparseUnsortedSegmentWeightedSum
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* SparseUnsortedSegmentWeightedSumGradient
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* Sqr
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* Sqrt
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* SquaredL2Distance
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||
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* SquaredL2DistanceGradient
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* Squeeze
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||
|
|
* StatRegistryCreate
|
||
|
|
* StatRegistryExport
|
||
|
|
* StatRegistryUpdate
|
||
|
|
* StdDevPut
|
||
|
|
* StopGradient
|
||
|
|
* StoreAdd
|
||
|
|
* StoreGet
|
||
|
|
* StoreSet
|
||
|
|
* StoreWait
|
||
|
|
* StringIndexCreate
|
||
|
|
* StringJoin
|
||
|
|
* StringPrefix
|
||
|
|
* StringSuffix
|
||
|
|
* StumpFunc
|
||
|
|
* StumpFuncIndex
|
||
|
|
* SubGradient
|
||
|
|
* Sum
|
||
|
|
* SumInt
|
||
|
|
* Summarize
|
||
|
|
* SwapBestPath
|
||
|
|
* Swish
|
||
|
|
* SwishGradient
|
||
|
|
* TT
|
||
|
|
* TTLinearGradient
|
||
|
|
* TensorProtosDBInput
|
||
|
|
* TensorVectorSize
|
||
|
|
* TextFileReaderRead
|
||
|
|
* ThrowChildThreadException
|
||
|
|
* ThrowException
|
||
|
|
* TimerBegin
|
||
|
|
* TimerEnd
|
||
|
|
* TimerGet
|
||
|
|
* TimerGetAndEnd
|
||
|
|
* TrimDataset
|
||
|
|
* UnPackRecords
|
||
|
|
* UniformFill
|
||
|
|
* UniformIntFill
|
||
|
|
* UniqueUniformFill
|
||
|
|
* UnsortedSegmentMean
|
||
|
|
* UnsortedSegmentMeanGradient
|
||
|
|
* UnsortedSegmentSum
|
||
|
|
* UnsortedSegmentSumGradient
|
||
|
|
* UnsortedSegmentWeightedSum
|
||
|
|
* UnsortedSegmentWeightedSumGradient
|
||
|
|
* VariableLengthSequencePadding
|
||
|
|
* ViterbiPath
|
||
|
|
* WallClockTime
|
||
|
|
* WeightedMultiSampling
|
||
|
|
* WeightedSample
|
||
|
|
* WeightedSampleDequeueBlobs
|
||
|
|
* WeightedSigmoidCrossEntropyWithLogits
|
||
|
|
* WeightedSigmoidCrossEntropyWithLogitsGradient
|
||
|
|
* While
|
||
|
|
* XavierFill
|
||
|
|
* Xor
|
||
|
|
* YellowFin
|
||
|
|
* ZeroGradient
|
||
|
|
</details>
|
||
|
|
|
||
|
|
## Covered operators
|
||
|
|
<details>
|
||
|
|
<summary>There are 217 covered operators</summary>
|
||
|
|
|
||
|
|
* Acos
|
||
|
|
* AcosGradient
|
||
|
|
* Adadelta
|
||
|
|
* Adagrad
|
||
|
|
* AddPadding
|
||
|
|
* AffineChannel
|
||
|
|
* AffineChannelGradient
|
||
|
|
* ArgMax
|
||
|
|
* ArgMin
|
||
|
|
* Asin
|
||
|
|
* AsinGradient
|
||
|
|
* Atan
|
||
|
|
* AtanGradient
|
||
|
|
* AveragedLoss
|
||
|
|
* AveragedLossGradient
|
||
|
|
* BBoxTransform
|
||
|
|
* BatchBoxCox
|
||
|
|
* BatchBucketOneHot
|
||
|
|
* BatchBucketize
|
||
|
|
* BatchDenseToSparse
|
||
|
|
* BatchGather
|
||
|
|
* BatchGatherGradient
|
||
|
|
* BatchMatMul
|
||
|
|
* BatchMoments
|
||
|
|
* BatchMomentsGradient
|
||
|
|
* BatchOneHot
|
||
|
|
* BatchSparseToDense
|
||
|
|
* BernoulliJSD
|
||
|
|
* BernoulliJSDGradient
|
||
|
|
* BooleanMask
|
||
|
|
* BooleanUnmask
|
||
|
|
* BoxWithNMSLimit
|
||
|
|
* CTCBeamSearchDecoder
|
||
|
|
* CTCGreedyDecoder
|
||
|
|
* Ceil
|
||
|
|
* ChannelBackpropStats
|
||
|
|
* ChannelShuffle
|
||
|
|
* ChannelShuffleGradient
|
||
|
|
* ChannelStats
|
||
|
|
* Clip
|
||
|
|
* ClipGradient
|
||
|
|
* ClipTensorByScaling
|
||
|
|
* CollectAndDistributeFpnRpnProposals
|
||
|
|
* ColwiseMax
|
||
|
|
* ColwiseMaxGradient
|
||
|
|
* Concat
|
||
|
|
* Conditional
|
||
|
|
* ConstantFill
|
||
|
|
* Conv
|
||
|
|
* ConvGradient
|
||
|
|
* Cosh
|
||
|
|
* CoshGradient
|
||
|
|
* CosineEmbeddingCriterion
|
||
|
|
* CosineEmbeddingCriterionGradient
|
||
|
|
* DiagonalFill
|
||
|
|
* DotProduct
|
||
|
|
* DotProductGradient
|
||
|
|
* Dropout
|
||
|
|
* DropoutGrad
|
||
|
|
* ElementwiseLinear
|
||
|
|
* ElementwiseLinearGradient
|
||
|
|
* Elu
|
||
|
|
* EluGradient
|
||
|
|
* Expand
|
||
|
|
* ExpandGradient
|
||
|
|
* FC
|
||
|
|
* FCGradient
|
||
|
|
* Find
|
||
|
|
* FindDuplicateElements
|
||
|
|
* FlexibleTopK
|
||
|
|
* FlexibleTopKGradient
|
||
|
|
* Floor
|
||
|
|
* GRUUnit
|
||
|
|
* GRUUnitGradient
|
||
|
|
* Gather
|
||
|
|
* GatherPadding
|
||
|
|
* GatherRanges
|
||
|
|
* GatherRangesToDense
|
||
|
|
* Glu
|
||
|
|
* GroupNorm
|
||
|
|
* GroupNormGradient
|
||
|
|
* IndexHash
|
||
|
|
* InstanceNorm
|
||
|
|
* InstanceNormGradient
|
||
|
|
* IntegralImage
|
||
|
|
* IntegralImageGradient
|
||
|
|
* IsMemberOf
|
||
|
|
* LC
|
||
|
|
* LCGradient
|
||
|
|
* LayerNormGradient
|
||
|
|
* LeakyRelu
|
||
|
|
* LeakyReluGradient
|
||
|
|
* LearningRate
|
||
|
|
* LearningRateAdaption
|
||
|
|
* LengthsGather
|
||
|
|
* LengthsPad
|
||
|
|
* LengthsRangeFill
|
||
|
|
* LengthsSplit
|
||
|
|
* LengthsSum
|
||
|
|
* LengthsTile
|
||
|
|
* LengthsToRanges
|
||
|
|
* LengthsTopK
|
||
|
|
* LengthsTopKGradient
|
||
|
|
* Log
|
||
|
|
* MarginRankingCriterion
|
||
|
|
* MarginRankingCriterionGradient
|
||
|
|
* MatMul
|
||
|
|
* Max
|
||
|
|
* MaxGradient
|
||
|
|
* Mean
|
||
|
|
* MeanGradient
|
||
|
|
* MergeIdLists
|
||
|
|
* Min
|
||
|
|
* MinGradient
|
||
|
|
* Moments
|
||
|
|
* MomentsGradient
|
||
|
|
* MomentumSGD
|
||
|
|
* Mul
|
||
|
|
* NanCheck
|
||
|
|
* NegateGradient
|
||
|
|
* Negative
|
||
|
|
* NumpyTile
|
||
|
|
* ONNXWhile
|
||
|
|
* OneHot
|
||
|
|
* PackRNNSequence
|
||
|
|
* PackSegments
|
||
|
|
* PadImage
|
||
|
|
* PadImageGradient
|
||
|
|
* PairWiseLoss
|
||
|
|
* PairWiseLossGradient
|
||
|
|
* PiecewiseLinearTransform
|
||
|
|
* Pow
|
||
|
|
* RecurrentNetwork
|
||
|
|
* RecurrentNetworkGradient
|
||
|
|
* ReduceBackMax
|
||
|
|
* ReduceBackMaxGradient
|
||
|
|
* ReduceBackMean
|
||
|
|
* ReduceBackMeanGradient
|
||
|
|
* ReduceFrontMax
|
||
|
|
* ReduceFrontMaxGradient
|
||
|
|
* ReduceFrontMean
|
||
|
|
* ReduceFrontMeanGradient
|
||
|
|
* ReduceFrontSum
|
||
|
|
* ReduceFrontSumGradient
|
||
|
|
* ReduceL2
|
||
|
|
* ReduceL2Gradient
|
||
|
|
* ReduceMax
|
||
|
|
* ReduceMaxGradient
|
||
|
|
* ReduceMean
|
||
|
|
* ReduceMeanGradient
|
||
|
|
* ReduceMin
|
||
|
|
* ReduceMinGradient
|
||
|
|
* Relu
|
||
|
|
* ReluGradient
|
||
|
|
* ReluN
|
||
|
|
* ReluNGradient
|
||
|
|
* RemoveDataBlocks
|
||
|
|
* ReversePackedSegs
|
||
|
|
* RowWiseSparseAdagrad
|
||
|
|
* RowwiseMax
|
||
|
|
* RowwiseMaxGradient
|
||
|
|
* ScatterAssign
|
||
|
|
* ScatterWeightedSum
|
||
|
|
* SegmentOneHot
|
||
|
|
* Selu
|
||
|
|
* SeluGradient
|
||
|
|
* SequenceMask
|
||
|
|
* Sign
|
||
|
|
* Sinh
|
||
|
|
* SinhGradient
|
||
|
|
* SinusoidPositionEncoding
|
||
|
|
* Size
|
||
|
|
* Slice
|
||
|
|
* SliceGradient
|
||
|
|
* Softmax
|
||
|
|
* SoftmaxGradient
|
||
|
|
* SoftmaxWithLoss
|
||
|
|
* SoftmaxWithLossGradient
|
||
|
|
* SparseAdadelta
|
||
|
|
* SparseAdagrad
|
||
|
|
* SparseMomentumSGDUpdate
|
||
|
|
* SparseWngrad
|
||
|
|
* SpatialBN
|
||
|
|
* SpatialBNGradient
|
||
|
|
* SpatialSoftmaxWithLoss
|
||
|
|
* SpatialSoftmaxWithLossGradient
|
||
|
|
* Split
|
||
|
|
* SplitByLengths
|
||
|
|
* SquareRootDivide
|
||
|
|
* StringEndsWith
|
||
|
|
* StringStartsWith
|
||
|
|
* Sub
|
||
|
|
* SumElements
|
||
|
|
* SumElementsGradient
|
||
|
|
* SumElementsInt
|
||
|
|
* SumReduceLike
|
||
|
|
* SumSqrElements
|
||
|
|
* Tan
|
||
|
|
* TanGradient
|
||
|
|
* Tanh
|
||
|
|
* TanhGradient
|
||
|
|
* ThresholdedRelu
|
||
|
|
* ThresholdedReluGradient
|
||
|
|
* Tile
|
||
|
|
* TileGradient
|
||
|
|
* TopK
|
||
|
|
* TopKGradient
|
||
|
|
* Transpose
|
||
|
|
* Unique
|
||
|
|
* UnpackRNNSequence
|
||
|
|
* UnpackSegments
|
||
|
|
* UpsampleBilinear
|
||
|
|
* UpsampleBilinearGradient
|
||
|
|
* WeightedSum
|
||
|
|
* WeightedSumGradient
|
||
|
|
* Where
|
||
|
|
* Wngrad
|
||
|
|
</details>
|
||
|
|
|
||
|
|
## Excluded from coverage statistics
|
||
|
|
### Schemaless operators
|
||
|
|
<details>
|
||
|
|
<summary>There are 21 schemaless operators</summary>
|
||
|
|
|
||
|
|
* C10Add_DontUseThisOpYet
|
||
|
|
* C10AveragedLoss_DontUseThisOpYet
|
||
|
|
* C10BatchGather_DontUseThisOpYet
|
||
|
|
* C10BatchMatMul_DontUseThisOpYet
|
||
|
|
* C10Cast_DontUseThisOpYet
|
||
|
|
* C10Concat_DontUseThisOpYet
|
||
|
|
* C10ConstantFill_DontUseThisOpYet
|
||
|
|
* C10EnforceFinite_DontUseThisOpYet
|
||
|
|
* C10ExpandDims_DontUseThisOpYet
|
||
|
|
* C10FC_DontUseThisOpYet
|
||
|
|
* C10Flatten_DontUseThisOpYet
|
||
|
|
* C10GivenTensorFill_DontUseThisOpYet
|
||
|
|
* C10GivenTensorInt64Fill_DontUseThisOpYet
|
||
|
|
* C10GivenTensorIntFill_DontUseThisOpYet
|
||
|
|
* C10Mul_DontUseThisOpYet
|
||
|
|
* C10Relu_DontUseThisOpYet
|
||
|
|
* C10SigmoidCrossEntropyWithLogits_DontUseThisOpYet
|
||
|
|
* C10Sigmoid_DontUseThisOpYet
|
||
|
|
* C10SparseLengthsSum_DontUseThisOpYet
|
||
|
|
* C10StopGradient_DontUseThisOpYet
|
||
|
|
* C10UniformFill_DontUseThisOpYet
|
||
|
|
</details>
|
||
|
|
|