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operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
# Serialized Test Coverage Report
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.
## Summary
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
Serialized tests have covered 220/852 (25.8%) operators
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
## Not covered operators
<details>
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
<summary>There are 632 not covered operators</summary>
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* APMeter
* ATen
* Abs
* AbsGradient
* Accumulate
* AccumulateHistogram
* Accuracy
* Adam
* Add
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* AddFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* AddGradient
* Alias
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* AliasWithName
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Allgather
* Allreduce
* And
* Append
* Assert
* AtomicAppend
* AtomicFetchAdd
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* AtomicFetchAdd64
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* AtomicIter
* AveragePool
* AveragePool1D
* AveragePool1DGradient
* AveragePool2D
* AveragePool2DGradient
* AveragePool3D
* AveragePool3DGradient
* AveragePoolGradient
* AveragePut
* BRGNCHWCToPackedInt8BGRAStylizerDeprocess
* Barrier
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* BatchMatMulFP16Acc16Fake
* BatchMatMulFP16Acc32Fake
* BatchMatMulFP16Fake
* BatchPermutation
* BatchPermutationGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* BatchToSpace
* BisectPercentile
* BitwiseAnd
* BitwiseOr
* BitwiseXor
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* BooleanMaskGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* BooleanMaskLengths
* Broadcast
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* Bucketize
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* ByteWeightDequant
* Cast
* Cbrt
* CbrtGradient
* CheckAtomicBool
* CheckCounterDone
* CheckDatasetConsistency
* Checkpoint
* CloneCommonWorld
* CloseBlobsQueue
* CloseRebatchingQueue
* Col2Im
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* CollectRpnProposals
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* CollectTensor
* ComputeOffset
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* ConcatBatchMatMulBatchGatherOp
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* ConcatTensorVector
* ConditionalSetAtomicBool
* Conv1D
* Conv1DGradient
* Conv2D
* Conv2DGradient
* Conv3D
* Conv3DGradient
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* ConvRelu
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* ConvTranspose
* ConvTransposeGradient
* Copy
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* CopyCPUToGPU
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* CopyFromCPUInput
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* CopyGPUToCPU
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* CopyOnDeviceLike
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* CopyRowsToTensor
* CopyRowsToTensorGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Cos
* CosGradient
* CosineSimilarity
* CosineSimilarityGradient
* CountDown
* CountUp
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* Crash
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* CreateAtomicBool
* CreateBlobsQueue
* CreateBlobsQueueDB
* CreateCommonWorld
* CreateCounter
* CreateDB
* CreateMap
* CreateMutex
* CreateRebatchingQueue
* CreateScope
* CreateTensorVector
* CreateTextFileReader
* CreateTreeCursor
* CrossEntropy
* CrossEntropyGradient
* Cube
* CubeGradient
* DBExists
* DataCouple
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* DeformConv
* DeformConvGradient
Optimize channel_stats_op (#16243) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16243 Optimize channel_stats_op and add NHWC impl Reviewed By: takatosp1 Differential Revision: D13775515 fbshipit-source-id: decb889e646f5316d4afefdf9f9b6bc6343613cd
2019-03-12 18:52:01 +00:00
* DenseVectorToIdList
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* DepthConcat
* DepthSplit
* DequeueBlobs
* DequeueRebatchingQueue
* DestroyCommonWorld
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* DistributeFpnProposals
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Div
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* DivFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* DivGradient
* Do
* DotProductWithPadding
* DotProductWithPaddingGradient
* EQ
* EnforceFinite
* EnqueueBlobs
* EnqueueRebatchingQueue
* EnsureCPUOutput
* EnsureClipped
* EnsureDense
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Equalizer
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Exp
* ExpandDims
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FCFp16X
* FCGradient_Decomp
* FCGradient_Prune
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* FCTransposed
* FCTransposedGradient
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FC_Decomp
* FC_Prune
* FC_Sparse
* FP16MomentumSGDUpdate
* FP32MomentumSGDUpdate
* FP32ToFP16Fake
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* FP32ToFP16FakeNoSubnormal
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Fail
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FbFCPacked
* FbGemmPack
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* FbGemmPackTranspose
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* FeedBlob
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FilterExampleIds
* FilterSparseLabels
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Flatten
* FlattenToVec
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* Float16ConstantFill
* Float16UniformFill
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* FloatToFused2BitFakeRowwiseQuantized
* FloatToFused2BitRowwiseQuantized
* FloatToFused4BitFakeRowwiseQuantized
* FloatToFused4BitRowwiseQuantized
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* FloatToFused8BitRowwiseQuantized
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* FloatToFused8BitRowwiseQuantizedHalfScaleBias
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* FloatToFusedRandRowwiseQuantized
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FloatToHalf
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* FloatToRowwiseQuantized8Bits
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* Fp16FC
* Fp16FCAcc16
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Fp16FCAcc16NNPI
* Fp16FCAcc32
* Fp16FCAcc32NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Free
* Ftrl
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* FunHash
* FunHashGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Fused2BitRowwiseQuantizedToFloat
* Fused2BitRowwiseQuantizedToHalf
* Fused4BitRowwiseQuantizedToFloat
* Fused4BitRowwiseQuantizedToHalf
* Fused8BitRowwiseQuantizedHalfScaleBiasToFloat
* Fused8BitRowwiseQuantizedHalfScaleBiasToHalfFloat
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Fused8BitRowwiseQuantizedToFloat
* Fused8BitRowwiseQuantizedToHalfFloat
* FusedRandRowwiseQuantizedToFloat
* GE
* GFtrl
* GT
* GatherByKey
* GatherFused8BitRowwise
* GaussianFill
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* Gelu
* GeluGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* GenerateProposals
* GenerateProposalsCPP
* GetAllBlobNames
* GetCursorOffset
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* GetGPUMemoryUsage
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* GivenTensorBoolFill
* GivenTensorByteStringToUInt8Fill
* GivenTensorDoubleFill
* GivenTensorFill
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* GivenTensorInt16Fill
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* GivenTensorInt64Fill
* GivenTensorIntFill
* GivenTensorStringFill
* HSoftmax
* HSoftmaxGradient
* HSoftmaxSearch
* HalfFloatToFused8BitRowwiseQuantized
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* HalfFloatToFused8BitRowwiseQuantizedHalfScaleBias
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* HalfToFloat
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* HalfToFused2BitFakeRowwiseQuantized
* HalfToFused2BitRowwiseQuantized
* HalfToFused4BitFakeRowwiseQuantized
* HalfToFused4BitRowwiseQuantized
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* HardSigmoid
* HardSigmoidGradient
* HasElements
* HasScope
* HeatmapMaxKeypoint
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Histogram
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* HuffmanTreeHierarchy
* If
* Im2Col
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* ImageInput
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* IncrementPut
* IndexFreeze
* IndexGet
* IndexLoad
* IndexSize
* IndexStore
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* InferenceLSTM
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Int8Add
* Int8AddRelu
* Int8AveragePool
* Int8AveragePoolRelu
* Int8ChannelShuffle
* Int8Concat
* Int8Conv
* Int8ConvRelu
* Int8ConvTranspose
* Int8Dequantize
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Int8DequantizeNNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Int8FC
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Int8FCFakeAcc32NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Int8Flatten
* Int8GivenIntTensorFill
* Int8GivenTensorFill
* Int8LeakyRelu
* Int8MaxPool
* Int8MaxPoolRelu
* Int8Quantize
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Int8QuantizeNNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Int8Relu
* Int8Reshape
* Int8ResizeNearest
* Int8RoIAlign
* Int8Sigmoid
* Int8Slice
* Int8Softmax
* Int8Sum
* Int8SumRelu
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Int8Transpose
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* IntIndexCreate
* IsEmpty
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* IsNaN
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Iter
* KeySplit
* KeyValueToMap
* L1Distance
* L1DistanceGradient
* LC1D
* LC1DGradient
* LC2D
* LC2DGradient
* LC3D
* LC3DGradient
* LE
* LRN
* LRNGradient
* LSTMUnit
* LSTMUnitGradient
* LT
* LabelCrossEntropy
* LabelCrossEntropyGradient
* LambdaRankNdcg
* LambdaRankNdcgGradient
* Lars
* LastNWindowCollector
* LayerNorm
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* LayerNormFakeFP16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* LengthsIndicesInGradientMeanGradient
* LengthsIndicesInGradientSumGradient
* LengthsMax
* LengthsMaxWithMainInputAndForwardOutputGradient
* LengthsMean
* LengthsMeanGradient
* LengthsPartition
* LengthsSumGradient
* LengthsToSegmentIds
* LengthsToShape
* LengthsToWeights
* LengthsWeightedSum
* LengthsWeightedSumGradient
* LengthsWeightedSumWithMainInputGradient
* Load
* LogFatal
* Logit
* LogitGradient
* LongIndexCreate
* LpNorm
* LpNormGradient
* LpPool
* LpPoolGradient
* MSRAFill
* MakeTwoClass
* MakeTwoClassGradient
* MapToKeyValue
* MaxPool
* MaxPool1D
* MaxPool1DGradient
* MaxPool2D
* MaxPool2DGradient
* MaxPool3D
* MaxPool3DGradient
* MaxPoolGradient
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* MaxPoolWithIndex
* MaxPoolWithIndexGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* MergeDim
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* MergeExampleIds
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* MergeMultiListFeatureTensors
* MergeMultiListFeatureTensorsGradient
* MergeMultiMapFeatureTensors
* MergeMultiMapFeatureTensorsGradient
* MergeMultiScalarFeatureTensors
* MergeMultiScalarFeatureTensorsGradient
* MergeSingleListFeatureTensors
* MergeSingleListFeatureTensorsGradient
* MergeSingleMapFeatureTensors
* MergeSingleMapFeatureTensorsGradient
* MergeSingleScalarFeatureTensors
* MergeSingleScalarFeatureTensorsGradient
* Mod
* MomentumSGDUpdate
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* MulFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* MulGradient
* MultiClassAccuracy
* NCHW2NHWC
* NE
* NGramFromCategorical
* NHWC2NCHW
* Normalize
* NormalizeGradient
* NormalizeL1
* NormalizePlanarYUV
* Not
* Onnxifi
* Or
* PRelu
* PReluGradient
* PackRecords
* PackedInt8BGRANHWCToNCHWCStylizerPreprocess
* PadEmptySamples
* Partition
* Percentile
* Perplexity
* PrependDim
* Print
* Python
* PythonDLPack
* PythonDLPackGradient
* PythonGradient
* QuantDecode
* QuantDecodeGradient
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* QuantDecompZstd
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Quantile
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* RMACRegions
* Range
* RangeFill
* ReadNextBatch
* ReadRandomBatch
* ReceiveTensor
* Reciprocal
* ReciprocalGradient
* RecurrentNetworkBlobFetcher
* Reduce
* ReduceBackSum
* ReduceBackSumGradient
* ReduceFrontWeightedSum
* ReduceFrontWeightedSumGradient
* ReduceL1
* ReduceL1Gradient
* ReduceScatter
* ReduceSum
* ReduceSumGradient
* ReduceTailSum
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* ReluFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* RemovePadding
* ReplaceNaN
* ReservoirSampling
* ResetCounter
* ResetCursor
* Reshape
* ResizeLike
* ResizeNearest
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* ResizeNearest3D
* ResizeNearest3DGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* ResizeNearestGradient
* RetrieveCount
* RmsProp
* RoIAlign
* RoIAlignGradient
* RoIAlignRotated
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* RoIAlignRotatedGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* RoIPool
* RoIPoolGradient
* RowMul
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* RowWiseCounter
* RowWiseSparseAdagradFusedWithSparseLengthsSumGradient
* RowWiseSparseAdagradFusedWithSparseLengthsWeightedSumGradient
* RowWiseSparseAdagradFusedWithSparseLengthsWeightedSumGradientApprox
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* RowWiseSparseAdam
* Rowwise8BitQuantizedToFloat
* Rsqrt
* RsqrtGradient
* SafeDequeueBlobs
* SafeEnqueueBlobs
* Save
* Scale
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* ScaleBlobs
* Scatter
* ScriptModule
* ScriptModuleLoad
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SegmentIdsToLengths
* SegmentIdsToRanges
* SendTensor
* Shape
* Sigmoid
* SigmoidCrossEntropyWithLogits
* SigmoidCrossEntropyWithLogitsGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SigmoidFakeFp16
* SigmoidFakeFp16NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SigmoidGradient
* Sin
* SinGradient
* Snapshot
* Softplus
* SoftplusGradient
* Softsign
* SoftsignGradient
* SortAndShuffle
* SortedSegmentMean
* SortedSegmentMeanGradient
* SortedSegmentRangeLogMeanExp
* SortedSegmentRangeLogMeanExpGradient
* SortedSegmentRangeLogSumExp
* SortedSegmentRangeLogSumExpGradient
* SortedSegmentRangeMax
* SortedSegmentRangeMaxGradient
* SortedSegmentRangeMean
* SortedSegmentRangeMeanGradient
* SortedSegmentRangeSum
* SortedSegmentRangeSumGradient
* SortedSegmentSum
* SortedSegmentSumGradient
* SortedSegmentWeightedSum
* SortedSegmentWeightedSumGradient
* SpaceToBatch
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseAdagradFusedWithSparseLengthsSumGradient
* SparseAdagradFusedWithSparseLengthsWeightedSumGradient
* SparseAdagradFusedWithSparseLengthsWeightedSumGradientApprox
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseAdam
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseDropoutWithReplacement
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseFtrl
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* SparseFunHash
* SparseFunHashGradient
* SparseLabelSplit
* SparseLabelSplitGradient
* SparseLabelToBool
* SparseLabelToDense
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsIndicesInGradientMeanGradient
* SparseLengthsIndicesInGradientSumGradient
* SparseLengthsIndicesInGradientWeightedSumGradient
* SparseLengthsIndicesInGradientWeightedSumWithMainInputGradient
* SparseLengthsMean
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsMean2BitRowwiseSparse
* SparseLengthsMean4BitRowwiseSparse
* SparseLengthsMean8BitRowwiseSparse
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsMean8BitsRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsMeanFakeFP16
* SparseLengthsMeanFakeFP16AccFP16
* SparseLengthsMeanFakeFP16EmbeddingOnly
* SparseLengthsMeanFused2BitRowwise
* SparseLengthsMeanFused4BitRowwise
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsMeanFused8BitRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsMeanFused8BitRowwiseFakeFP16
* SparseLengthsMeanFused8BitRowwiseFakeFP16AccFP16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsMeanGradient
* SparseLengthsPositionalWeightedSum
* SparseLengthsSum
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsSum2BitRowwiseSparse
* SparseLengthsSum4BitRowwiseSparse
* SparseLengthsSum8BitRowwiseSparse
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsSum8BitsRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsSumFakeFP16
* SparseLengthsSumFakeFP16AccFP16
* SparseLengthsSumFakeFP16EmbeddingOnly
* SparseLengthsSumFused2BitRowwise
* SparseLengthsSumFused4BitRowwise
* SparseLengthsSumFused4BitRowwiseFakeFP16EmbeddingOnly
* SparseLengthsSumFused4BitRowwiseFakeFP16NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsSumFused8BitRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsSumFused8BitRowwiseFakeFP16
* SparseLengthsSumFused8BitRowwiseFakeFP16AccFP16
* SparseLengthsSumFused8BitRowwiseFakeFP16AccInvScaleFP16
* SparseLengthsSumFused8BitRowwiseFakeFP16EmbeddingOnly
* SparseLengthsSumFused8BitRowwiseFakeFP16NNPI
* SparseLengthsSumFused8BitRowwiseFakeFP32NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsSumGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsSumSparseLookup
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsWeightedMean8BitsRowwise
* SparseLengthsWeightedSum
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsWeightedSum2BitRowwiseSparse
* SparseLengthsWeightedSum4BitRowwiseSparse
* SparseLengthsWeightedSum8BitRowwiseSparse
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsWeightedSum8BitsRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsWeightedSumFakeFP16
* SparseLengthsWeightedSumFakeFP16AccFP16
* SparseLengthsWeightedSumFakeFP16EmbeddingOnly
* SparseLengthsWeightedSumFused2BitRowwise
* SparseLengthsWeightedSumFused4BitRowwise
* SparseLengthsWeightedSumFused4BitRowwiseFakeFP16EmbeddingOnly
* SparseLengthsWeightedSumFused4BitRowwiseFakeFP16NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsWeightedSumFused8BitRowwise
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16AccFP16
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16AccInvScaleFP16
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16EmbeddingOnly
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP16NNPI
* SparseLengthsWeightedSumFused8BitRowwiseFakeFP32NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseLengthsWeightedSumGradient
* SparseLengthsWeightedSumWithMainInputGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseLpRegularizer
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* SparseMatrixReshape
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseNormalize
* SparseSortedSegmentMean
* SparseSortedSegmentMeanGradient
* SparseSortedSegmentSum
* SparseSortedSegmentSumGradient
* SparseSortedSegmentWeightedSum
* SparseSortedSegmentWeightedSumGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SparseStorm
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SparseToDense
* SparseToDenseMask
* SparseToDenseMaskGradient
* SparseUnsortedSegmentMean
* SparseUnsortedSegmentMeanGradient
* SparseUnsortedSegmentSum
* SparseUnsortedSegmentSumGradient
* SparseUnsortedSegmentWeightedSum
* SparseUnsortedSegmentWeightedSumGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SpatialBNFakeFp16NNPI
* SpatialBNFakeLoweredFp16NNPI
* SpatialBNRelu
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Sqr
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SqrFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Sqrt
* SquaredL2Distance
* SquaredL2DistanceGradient
* Squeeze
* StatRegistryCreate
* StatRegistryExport
* StatRegistryUpdate
* StdDevPut
* StopGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Storm
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* StringIndexCreate
* StringJoin
* StringPrefix
* StringSuffix
* StumpFunc
* StumpFuncIndex
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SubFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SubGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* SumFakeFp16
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* SumInt
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* SumRelu
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* Summarize
* SwapBestPath
* Swish
* SwishGradient
* TT
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* TTContraction
* TTContractionGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* TTLinearGradient
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* TTPad
* TTPadGradient
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* TanhFakeFp16
* TanhFakeFp16NNPI
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* TensorProtosDBInput
* TensorVectorSize
* TextFileReaderRead
* ThrowChildThreadException
* ThrowException
* TimerBegin
* TimerEnd
* TimerGet
* TimerGetAndEnd
* TrimDataset
* UnPackRecords
* UniformFill
* UniformIntFill
* UniqueUniformFill
* UnsortedSegmentMean
* UnsortedSegmentMeanGradient
* UnsortedSegmentSum
* UnsortedSegmentSumGradient
* UnsortedSegmentWeightedSum
* UnsortedSegmentWeightedSumGradient
* VariableLengthSequencePadding
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* VideoInput
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* ViterbiPath
* WallClockTime
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* WeightScale
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* WeightedMultiSampling
* WeightedSample
* WeightedSampleDequeueBlobs
* WeightedSigmoidCrossEntropyWithLogits
* WeightedSigmoidCrossEntropyWithLogitsGradient
* While
* XavierFill
* Xor
* YellowFin
* ZeroGradient
</details>
## Covered operators
<details>
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
<summary>There are 220 covered operators</summary>
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* 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
Optimize channel_stats_op (#16243) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16243 Optimize channel_stats_op and add NHWC impl Reviewed By: takatosp1 Differential Revision: D13775515 fbshipit-source-id: decb889e646f5316d4afefdf9f9b6bc6343613cd
2019-03-12 18:52:01 +00:00
* Erf
* ErfGradient
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* 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
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* Sum
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
* 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>
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
<summary>There are 3 schemaless operators</summary>
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
Optimize channel_stats_op (#16243) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16243 Optimize channel_stats_op and add NHWC impl Reviewed By: takatosp1 Differential Revision: D13775515 fbshipit-source-id: decb889e646f5316d4afefdf9f9b6bc6343613cd
2019-03-12 18:52:01 +00:00
* C10LayerNorm_DontUseThisOpYet
[Caffe2][Pruning] Make the caffe2 Sum operator support long types (#40379) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/40379 The current sum operator doesn't support Long .. hence modify the code Test Plan: Write a test case Reviewed By: jspark1105, yinghai Differential Revision: D21917365 fbshipit-source-id: b37d2c100c70d17d2f89c309e40360ddfab584ee
2020-06-23 21:15:32 +00:00
* LengthsSumFakeFp16
Output sequence probability with CTC beam search, optional multiple output sequences (#21927) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21927 Add `OUTPUT_PROB` output to CTCBeamSearchDecoderOp to return a probability for each sequence. Add argument to output top-k instead of top-1 decoded sequences. Reviewed By: SuperIRabbit Differential Revision: D15797371 fbshipit-source-id: 737ca5cc4f90a0bcc3660ac9f58519a175977b69
2019-07-03 00:21:49 +00:00
* SparseLengthsMax
operator serialized test coverage summary document (#13703) Summary: Add a markdown document summarizing the coverage of serialized operator tests. This currently only takes into account what has been covered by the tests with respect to the entire registry of c2 operators. Next, we will break down the coverage by which operators have unit tests associated with them, which have hypothesis tests, and which have tests more specifically calling assertReferenceChecks. Pull Request resolved: https://github.com/pytorch/pytorch/pull/13703 Reviewed By: dzhulgakov Differential Revision: D12970810 Pulled By: ajyu fbshipit-source-id: 4f0cd057b1cf734371333e24d26cbab630a170e1
2018-11-09 23:02:03 +00:00
</details>
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