mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
5bcbbf5373
Summary: *Context:* https://github.com/pytorch/pytorch/issues/53406 added a lint for trailing whitespace at the ends of lines. However, in order to pass FB-internal lints, that PR also had to normalize the trailing newlines in four of the files it touched. This PR adds an OSS lint to normalize trailing newlines. The changes to the following files (made in 54847d0adb9be71be4979cead3d9d4c02160e4cd) are the only manually-written parts of this PR: - `.github/workflows/lint.yml` - `mypy-strict.ini` - `tools/README.md` - `tools/test/test_trailing_newlines.py` - `tools/trailing_newlines.py` I would have liked to make this just a shell one-liner like the other three similar lints, but nothing I could find quite fit the bill. Specifically, all the answers I tried from the following Stack Overflow questions were far too slow (at least a minute and a half to run on this entire repository): - [How to detect file ends in newline?](https://stackoverflow.com/q/38746) - [How do I find files that do not end with a newline/linefeed?](https://stackoverflow.com/q/4631068) - [How to list all files in the Git index without newline at end of file](https://stackoverflow.com/q/27624800) - [Linux - check if there is an empty line at the end of a file [duplicate]](https://stackoverflow.com/q/34943632) - [git ensure newline at end of each file](https://stackoverflow.com/q/57770972) To avoid giving false positives during the few days after this PR is merged, we should probably only merge it after https://github.com/pytorch/pytorch/issues/54967. Pull Request resolved: https://github.com/pytorch/pytorch/pull/54737 Test Plan: Running the shell script from the "Ensure correct trailing newlines" step in the `quick-checks` job of `.github/workflows/lint.yml` should print no output and exit in a fraction of a second with a status of 0. That was not the case prior to this PR, as shown by this failing GHA workflow run on an earlier draft of this PR: - https://github.com/pytorch/pytorch/runs/2197446987?check_suite_focus=true In contrast, this run (after correcting the trailing newlines in this PR) succeeded: - https://github.com/pytorch/pytorch/pull/54737/checks?check_run_id=2197553241 To unit-test `tools/trailing_newlines.py` itself (this is run as part of our "Test tools" GitHub Actions workflow): ``` python tools/test/test_trailing_newlines.py ``` Reviewed By: malfet Differential Revision: D27409736 Pulled By: samestep fbshipit-source-id: 46f565227046b39f68349bbd5633105b2d2e9b19
879 lines
17 KiB
Markdown
879 lines
17 KiB
Markdown
# 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 220/852 (25.8%) operators
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## Not covered operators
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<details>
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<summary>There are 632 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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* AddFakeFp16
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* AddGradient
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* Alias
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* AliasWithName
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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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* AtomicFetchAdd64
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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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* BatchMatMulFP16Acc16Fake
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* BatchMatMulFP16Acc32Fake
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* BatchMatMulFP16Fake
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* BatchPermutation
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* BatchPermutationGradient
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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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* BooleanMaskGradient
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* BooleanMaskLengths
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* Broadcast
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* Bucketize
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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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* CollectRpnProposals
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* CollectTensor
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* ComputeOffset
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* ConcatBatchMatMulBatchGatherOp
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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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* ConvRelu
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* ConvTranspose
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* ConvTransposeGradient
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* Copy
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* CopyCPUToGPU
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* CopyFromCPUInput
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* CopyGPUToCPU
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* CopyOnDeviceLike
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* CopyRowsToTensor
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* CopyRowsToTensorGradient
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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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* Crash
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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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* DeformConv
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* DeformConvGradient
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* DenseVectorToIdList
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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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* DistributeFpnProposals
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* Div
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* DivFakeFp16
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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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* Equalizer
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* Exp
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* ExpandDims
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* FCFp16X
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* FCGradient_Decomp
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* FCGradient_Prune
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* FCTransposed
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* FCTransposedGradient
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* FC_Decomp
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* FC_Prune
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* FC_Sparse
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* FP16MomentumSGDUpdate
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* FP32MomentumSGDUpdate
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* FP32ToFP16Fake
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* FP32ToFP16FakeNoSubnormal
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* Fail
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* FbFCPacked
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* FbGemmPack
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* FbGemmPackTranspose
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* FeedBlob
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* FilterExampleIds
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* FilterSparseLabels
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* Flatten
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* FlattenToVec
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* Float16ConstantFill
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* Float16UniformFill
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* FloatToFused2BitFakeRowwiseQuantized
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* FloatToFused2BitRowwiseQuantized
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* FloatToFused4BitFakeRowwiseQuantized
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* FloatToFused4BitRowwiseQuantized
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* FloatToFused8BitRowwiseQuantized
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* FloatToFused8BitRowwiseQuantizedHalfScaleBias
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* FloatToFusedRandRowwiseQuantized
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* FloatToHalf
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* FloatToRowwiseQuantized8Bits
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* Fp16FC
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* Fp16FCAcc16
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* Fp16FCAcc16NNPI
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* Fp16FCAcc32
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* Fp16FCAcc32NNPI
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* Free
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* Ftrl
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* FunHash
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* FunHashGradient
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* Fused2BitRowwiseQuantizedToFloat
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* Fused2BitRowwiseQuantizedToHalf
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* Fused4BitRowwiseQuantizedToFloat
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* Fused4BitRowwiseQuantizedToHalf
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* Fused8BitRowwiseQuantizedHalfScaleBiasToFloat
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* Fused8BitRowwiseQuantizedHalfScaleBiasToHalfFloat
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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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* Gelu
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* GeluGradient
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* GenerateProposals
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* GenerateProposalsCPP
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* GetAllBlobNames
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* GetCursorOffset
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* GetGPUMemoryUsage
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* GivenTensorBoolFill
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* GivenTensorByteStringToUInt8Fill
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* GivenTensorDoubleFill
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* GivenTensorFill
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* GivenTensorInt16Fill
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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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* HalfFloatToFused8BitRowwiseQuantizedHalfScaleBias
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* HalfToFloat
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* HalfToFused2BitFakeRowwiseQuantized
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* HalfToFused2BitRowwiseQuantized
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* HalfToFused4BitFakeRowwiseQuantized
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* HalfToFused4BitRowwiseQuantized
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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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* Histogram
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* HuffmanTreeHierarchy
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* If
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* Im2Col
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* ImageInput
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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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* InferenceLSTM
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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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* Int8DequantizeNNPI
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* Int8FC
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* Int8FCFakeAcc32NNPI
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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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* Int8QuantizeNNPI
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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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* Int8Transpose
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* IntIndexCreate
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* IsEmpty
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* IsNaN
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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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* LayerNormFakeFP16
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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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* MaxPoolWithIndex
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* MaxPoolWithIndexGradient
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* MergeDim
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* MergeExampleIds
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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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* MulFakeFp16
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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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* QuantDecompZstd
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* Quantile
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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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* ReluFakeFp16
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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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* ResizeNearest3D
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* ResizeNearest3DGradient
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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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* RoIAlignRotatedGradient
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* RoIPool
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* RoIPoolGradient
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* RowMul
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* RowWiseCounter
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* RowWiseSparseAdagradFusedWithSparseLengthsSumGradient
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* RowWiseSparseAdagradFusedWithSparseLengthsWeightedSumGradient
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* RowWiseSparseAdagradFusedWithSparseLengthsWeightedSumGradientApprox
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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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* ScaleBlobs
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* Scatter
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* ScriptModule
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* ScriptModuleLoad
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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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* SigmoidFakeFp16
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* SigmoidFakeFp16NNPI
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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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* SparseAdagradFusedWithSparseLengthsSumGradient
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* SparseAdagradFusedWithSparseLengthsWeightedSumGradient
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* SparseAdagradFusedWithSparseLengthsWeightedSumGradientApprox
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* SparseAdam
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* SparseDropoutWithReplacement
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* SparseFtrl
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* SparseFunHash
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* SparseFunHashGradient
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* SparseLabelSplit
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* SparseLabelSplitGradient
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* SparseLabelToBool
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* SparseLabelToDense
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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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* SparseLengthsMean2BitRowwiseSparse
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* SparseLengthsMean4BitRowwiseSparse
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* SparseLengthsMean8BitRowwiseSparse
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* SparseLengthsMean8BitsRowwise
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* SparseLengthsMeanFakeFP16
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* SparseLengthsMeanFakeFP16AccFP16
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* SparseLengthsMeanFakeFP16EmbeddingOnly
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* SparseLengthsMeanFused2BitRowwise
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* SparseLengthsMeanFused4BitRowwise
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* SparseLengthsMeanFused8BitRowwise
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* SparseLengthsMeanFused8BitRowwiseFakeFP16
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* SparseLengthsMeanFused8BitRowwiseFakeFP16AccFP16
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* SparseLengthsMeanGradient
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* SparseLengthsPositionalWeightedSum
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* SparseLengthsSum
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* SparseLengthsSum2BitRowwiseSparse
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* SparseLengthsSum4BitRowwiseSparse
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* SparseLengthsSum8BitRowwiseSparse
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* SparseLengthsSum8BitsRowwise
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* SparseLengthsSumFakeFP16
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* SparseLengthsSumFakeFP16AccFP16
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* SparseLengthsSumFakeFP16EmbeddingOnly
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* SparseLengthsSumFused2BitRowwise
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* SparseLengthsSumFused4BitRowwise
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* SparseLengthsSumFused4BitRowwiseFakeFP16EmbeddingOnly
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* SparseLengthsSumFused4BitRowwiseFakeFP16NNPI
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* SparseLengthsSumFused8BitRowwise
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* SparseLengthsSumFused8BitRowwiseFakeFP16
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* SparseLengthsSumFused8BitRowwiseFakeFP16AccFP16
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* SparseLengthsSumFused8BitRowwiseFakeFP16AccInvScaleFP16
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* SparseLengthsSumFused8BitRowwiseFakeFP16EmbeddingOnly
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* SparseLengthsSumFused8BitRowwiseFakeFP16NNPI
|
|
* SparseLengthsSumFused8BitRowwiseFakeFP32NNPI
|
|
* SparseLengthsSumGradient
|
|
* SparseLengthsSumSparseLookup
|
|
* SparseLengthsWeightedMean8BitsRowwise
|
|
* SparseLengthsWeightedSum
|
|
* SparseLengthsWeightedSum2BitRowwiseSparse
|
|
* SparseLengthsWeightedSum4BitRowwiseSparse
|
|
* SparseLengthsWeightedSum8BitRowwiseSparse
|
|
* SparseLengthsWeightedSum8BitsRowwise
|
|
* SparseLengthsWeightedSumFakeFP16
|
|
* SparseLengthsWeightedSumFakeFP16AccFP16
|
|
* SparseLengthsWeightedSumFakeFP16EmbeddingOnly
|
|
* SparseLengthsWeightedSumFused2BitRowwise
|
|
* SparseLengthsWeightedSumFused4BitRowwise
|
|
* SparseLengthsWeightedSumFused4BitRowwiseFakeFP16EmbeddingOnly
|
|
* SparseLengthsWeightedSumFused4BitRowwiseFakeFP16NNPI
|
|
* SparseLengthsWeightedSumFused8BitRowwise
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16AccFP16
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16AccInvScaleFP16
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16EmbeddingOnly
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16NNPI
|
|
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP32NNPI
|
|
* SparseLengthsWeightedSumGradient
|
|
* SparseLengthsWeightedSumWithMainInputGradient
|
|
* SparseLpRegularizer
|
|
* SparseMatrixReshape
|
|
* SparseNormalize
|
|
* SparseSortedSegmentMean
|
|
* SparseSortedSegmentMeanGradient
|
|
* SparseSortedSegmentSum
|
|
* SparseSortedSegmentSumGradient
|
|
* SparseSortedSegmentWeightedSum
|
|
* SparseSortedSegmentWeightedSumGradient
|
|
* SparseStorm
|
|
* SparseToDense
|
|
* SparseToDenseMask
|
|
* SparseToDenseMaskGradient
|
|
* SparseUnsortedSegmentMean
|
|
* SparseUnsortedSegmentMeanGradient
|
|
* SparseUnsortedSegmentSum
|
|
* SparseUnsortedSegmentSumGradient
|
|
* SparseUnsortedSegmentWeightedSum
|
|
* SparseUnsortedSegmentWeightedSumGradient
|
|
* SpatialBNFakeFp16NNPI
|
|
* SpatialBNFakeLoweredFp16NNPI
|
|
* SpatialBNRelu
|
|
* Sqr
|
|
* SqrFakeFp16
|
|
* Sqrt
|
|
* SquaredL2Distance
|
|
* SquaredL2DistanceGradient
|
|
* Squeeze
|
|
* StatRegistryCreate
|
|
* StatRegistryExport
|
|
* StatRegistryUpdate
|
|
* StdDevPut
|
|
* StopGradient
|
|
* Storm
|
|
* StringIndexCreate
|
|
* StringJoin
|
|
* StringPrefix
|
|
* StringSuffix
|
|
* StumpFunc
|
|
* StumpFuncIndex
|
|
* SubFakeFp16
|
|
* SubGradient
|
|
* SumFakeFp16
|
|
* SumInt
|
|
* SumRelu
|
|
* Summarize
|
|
* SwapBestPath
|
|
* Swish
|
|
* SwishGradient
|
|
* TT
|
|
* TTContraction
|
|
* TTContractionGradient
|
|
* TTLinearGradient
|
|
* TTPad
|
|
* TTPadGradient
|
|
* TanhFakeFp16
|
|
* TanhFakeFp16NNPI
|
|
* TensorProtosDBInput
|
|
* TensorVectorSize
|
|
* TextFileReaderRead
|
|
* ThrowChildThreadException
|
|
* ThrowException
|
|
* TimerBegin
|
|
* TimerEnd
|
|
* TimerGet
|
|
* TimerGetAndEnd
|
|
* TrimDataset
|
|
* UnPackRecords
|
|
* UniformFill
|
|
* UniformIntFill
|
|
* UniqueUniformFill
|
|
* UnsortedSegmentMean
|
|
* UnsortedSegmentMeanGradient
|
|
* UnsortedSegmentSum
|
|
* UnsortedSegmentSumGradient
|
|
* UnsortedSegmentWeightedSum
|
|
* UnsortedSegmentWeightedSumGradient
|
|
* VariableLengthSequencePadding
|
|
* VideoInput
|
|
* ViterbiPath
|
|
* WallClockTime
|
|
* WeightScale
|
|
* WeightedMultiSampling
|
|
* WeightedSample
|
|
* WeightedSampleDequeueBlobs
|
|
* WeightedSigmoidCrossEntropyWithLogits
|
|
* WeightedSigmoidCrossEntropyWithLogitsGradient
|
|
* While
|
|
* XavierFill
|
|
* Xor
|
|
* YellowFin
|
|
* ZeroGradient
|
|
</details>
|
|
|
|
## Covered operators
|
|
<details>
|
|
<summary>There are 220 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
|
|
* Erf
|
|
* ErfGradient
|
|
* 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
|
|
* Sum
|
|
* 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 3 schemaless operators</summary>
|
|
|
|
* C10LayerNorm_DontUseThisOpYet
|
|
* LengthsSumFakeFp16
|
|
* SparseLengthsMax
|
|
</details>
|