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Author SHA1 Message Date
Kazuaki Ishizaki
daff5d3556 Fix typos under caffe2 directory (#87840) 
This PR fixes typos in `.md` files under caffe2 directory

Pull Request resolved: https://github.com/pytorch/pytorch/pull/87840
Approved by: https://github.com/kit1980
 2022-10-28 04:53:36 +00:00
Justin Chu
438142a599 [ONNX] Update onnx submodule to 1.12 (#79585) 
Update onnx submodule to the 1.12 release
Pull Request resolved: https://github.com/pytorch/pytorch/pull/79585
Approved by: https://github.com/garymm, https://github.com/msaroufim
 2022-06-23 18:09:07 +00:00
BowenBao
679fc90cdb [ONNX] Support optional type (#68793) (#73284) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/73284

Some important ops won't support optional type until opset 16,
so we can't fully test things end-to-end, but I believe this should
be all that's needed. Once ONNX Runtime supports opset 16,
we can do more testing and fix any remaining bugs.

Test Plan: Imported from OSS

Reviewed By: albanD

Differential Revision: D34625646

Pulled By: malfet

fbshipit-source-id: 537fcbc1e9d87686cc61f5bd66a997e99cec287b

Co-authored-by: BowenBao <bowbao@microsoft.com>
Co-authored-by: neginraoof <neginmr@utexas.edu>
Co-authored-by: Nikita Shulga <nshulga@fb.com>
(cherry picked from commit 822e79f31ae54d73407f34f166b654f4ba115ea5)
 2022-05-04 20:24:30 +00:00
Thiago Crepaldi
950dc1b457 Fix use of ONNX optimizer by Caffe2 backend 
Fixes https://github.com/pytorch/pytorch/issues/69674

The fix is Back Compatible with any Caffe2 build. It simply tries to use `onnxptimizer` module when `onnx.optimizer` is not available.

`onnx.optimizer` does not exist since ONNX 1.9 (April 2021) as the code was moved to a different [repo](https://github.com/onnx/onnxoptimizer)

If both `onnx<1.9` and `onnxoptimizer` are not found, the current fallback behavior is maintained (no ONNX optimization happens). Otherwise, the ONNX optimization pass will run from whatever module it is found.

This PR does not require or enforce a direct package dependency to work
Pull Request resolved: https://github.com/pytorch/pytorch/pull/75718
Approved by: https://github.com/BowenBao, https://github.com/malfet
 2022-04-14 21:48:48 +00:00
Gary Miguel
3ac7828195 Update ONNX submodule to 1.11.0 (#73111) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/73111

Reviewed By: mikaylagawarecki

Differential Revision: D34352318

Pulled By: malfet

fbshipit-source-id: aee38c5dd2b379785ecba27f7f21a877461168e1
(cherry picked from commit 424f02c69cbf123e2c8e3220d139ad336fa8fb58)
 2022-02-24 08:32:32 +00:00
Lu Fang
a6eec0c60f Upgrade onnx submodule to 85546f8c44e627f8ff1181725d03cc49f675e44f (#66427) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/66427

Update the onnx submodule, so https://github.com/pytorch/pytorch/pull/66140 can land.

Test Plan: ci

Reviewed By: ezyang

Differential Revision: D31544610

fbshipit-source-id: 94831ef531bbd654a6aeb744cd53a38155848079
 2021-10-12 09:46:08 -07:00
BowenBao
e6c39a521b [ONNX] Update submodule to 1.10.1 (#63716) (#64576) 
Summary:
Stack from [ghstack](https://github.com/ezyang/ghstack):
* **https://github.com/pytorch/pytorch/issues/64576 [ONNX] Update submodule to 1.10.1 (https://github.com/pytorch/pytorch/issues/63716)**

* [ONNX] Update IR version to 7

* [ONNX] update submodule to 1.10.1

* Disable some tests in caffe2 that fail b/c caffe2 doesn't support the
  new ops.
* Update Bazel file.

* Update expect files for new ONNX IR version

Pull Request resolved: https://github.com/pytorch/pytorch/pull/64576

Reviewed By: jansel

Differential Revision: D31006896

Pulled By: msaroufim

fbshipit-source-id: f3bf97709f23a5a2cd49c708e7363231f2c1961a
 2021-09-16 22:29:54 -07:00
Nikita Shulga
eae84f0d5d Fix ONNX forward compatibility (#59327) 
Summary:
Fixes `onnx.utils.polish_model` not found exception when executed using onnx-1.9

Pull Request resolved: https://github.com/pytorch/pytorch/pull/59327

Reviewed By: H-Huang

Differential Revision: D28840563

Pulled By: malfet

fbshipit-source-id: 403a29a88e7dee8b3414602b9fe2b31baf737dce
 2021-06-02 12:39:56 -07:00
neginraoof
599f5058cf [ONNX] Update ONNX to rel-1.9 (#55889) (#57080) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/57080

ONNX optimizer is removed in ONNX 1.9
This PR removes ONNX optimizer from a C++ code path and uses `try-except` block in Python to keep it compatible with both ONNX-1.8 and 1.9.

Test Plan: Imported from OSS

Reviewed By: heitorschueroff

Differential Revision: D28467330

Pulled By: malfet

fbshipit-source-id: 5e4669dd0537648898e593f9e253da18d6dc7568

Co-authored-by: neginraoof <neginmr@utexas.edu>
Co-authored-by: Nikita Shulga <nshulga@fb.com>
 2021-06-02 08:27:17 -07:00
Sam Estep
5bcbbf5373 Lint trailing newlines (#54737) 
Summary:
*Context:* https://github.com/pytorch/pytorch/issues/53406 added a lint for trailing whitespace at the ends of lines. However, in order to pass FB-internal lints, that PR also had to normalize the trailing newlines in four of the files it touched. This PR adds an OSS lint to normalize trailing newlines.

The changes to the following files (made in 54847d0adb9be71be4979cead3d9d4c02160e4cd) are the only manually-written parts of this PR:

- `.github/workflows/lint.yml`
- `mypy-strict.ini`
- `tools/README.md`
- `tools/test/test_trailing_newlines.py`
- `tools/trailing_newlines.py`

I would have liked to make this just a shell one-liner like the other three similar lints, but nothing I could find quite fit the bill. Specifically, all the answers I tried from the following Stack Overflow questions were far too slow (at least a minute and a half to run on this entire repository):

- [How to detect file ends in newline?](https://stackoverflow.com/q/38746)
- [How do I find files that do not end with a newline/linefeed?](https://stackoverflow.com/q/4631068)
- [How to list all files in the Git index without newline at end of file](https://stackoverflow.com/q/27624800)
- [Linux - check if there is an empty line at the end of a file [duplicate]](https://stackoverflow.com/q/34943632)
- [git ensure newline at end of each file](https://stackoverflow.com/q/57770972)

To avoid giving false positives during the few days after this PR is merged, we should probably only merge it after https://github.com/pytorch/pytorch/issues/54967.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/54737

Test Plan:
Running the shell script from the "Ensure correct trailing newlines" step in the `quick-checks` job of `.github/workflows/lint.yml` should print no output and exit in a fraction of a second with a status of 0. That was not the case prior to this PR, as shown by this failing GHA workflow run on an earlier draft of this PR:

- https://github.com/pytorch/pytorch/runs/2197446987?check_suite_focus=true

In contrast, this run (after correcting the trailing newlines in this PR) succeeded:

- https://github.com/pytorch/pytorch/pull/54737/checks?check_run_id=2197553241

To unit-test `tools/trailing_newlines.py` itself (this is run as part of our "Test tools" GitHub Actions workflow):
```
python tools/test/test_trailing_newlines.py
```

Reviewed By: malfet

Differential Revision: D27409736

Pulled By: samestep

fbshipit-source-id: 46f565227046b39f68349bbd5633105b2d2e9b19
 2021-03-30 13:09:52 -07:00
Sam Estep
8c798e0622 Forbid trailing whitespace (#53406) 
Summary:
Context: https://github.com/pytorch/pytorch/pull/53299#discussion_r587882857

These are the only hand-written parts of this diff:
- the addition to `.github/workflows/lint.yml`
- the file endings changed in these four files (to appease FB-internal land-blocking lints):
  - `GLOSSARY.md`
  - `aten/src/ATen/core/op_registration/README.md`
  - `scripts/README.md`
  - `torch/csrc/jit/codegen/fuser/README.md`

The rest was generated by running this command (on macOS):
```
git grep -I -l ' $' -- . ':(exclude)**/contrib/**' ':(exclude)third_party' | xargs gsed -i 's/ *$//'
```

I looked over the auto-generated changes and didn't see anything that looked problematic.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/53406

Test Plan:
This run (after adding the lint but before removing existing trailing spaces) failed:
- https://github.com/pytorch/pytorch/runs/2043032377

This run (on the tip of this PR) succeeded:
- https://github.com/pytorch/pytorch/runs/2043296348

Reviewed By: walterddr, seemethere

Differential Revision: D26856620

Pulled By: samestep

fbshipit-source-id: 3f0de7f7c2e4b0f1c089eac9b5085a58dd7e0d97
 2021-03-05 17:22:55 -08:00
Yinghai Lu
f4c33edb45 Add onnxifi interface for set/get options (#52388) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/52388

Pull Request resolved: https://github.com/pytorch/glow/pull/5364

This allows us to change global variables through onnxifi calls. And add python bindings along with it. Note that we supply a dummy backend_id as it's not needed by glow due to setting being global.

#codemod

Test Plan:
```
buck test mode/dev //glow/fb/test:test_onnxifi_optionnnpi
```

Reviewed By: jfix71, khabinov

Differential Revision: D26481652

fbshipit-source-id: 19b8201c77f653cf7d93ad68760aa7fb5ec45ff4
 2021-02-18 20:12:34 -08:00
Hugo van Kemenade
473e78c0fa Remove redundant code for unsupported Python versions (#49486) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49486

Remove code for Python 3.5 and lower.

There's more that can be removed/modernised, but sticking mainly to redundant version checks here, to keep the diff/PR smaller.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/46579

Reviewed By: zou3519

Differential Revision: D24453571

Pulled By: ezyang

fbshipit-source-id: c2cfcf05d6c5f65df64d89c331692c9aec09248e
 2021-01-06 12:45:46 -08:00
Richard Barnes
9945fd7253 Drop unused imports from caffe2/python (#49980) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980

From
```
./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/
```

Test Plan: Standard sandcastle tests

Reviewed By: xush6528

Differential Revision: D25727359

fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286
 2021-01-05 13:17:46 -08:00
skyline75489
46b83212d1 Remove unused six code for Python 2/3 compatibility (#48077) 
Summary:
This is basically a reborn version of https://github.com/pytorch/pytorch/issues/45254 .

Ref: https://github.com/pytorch/pytorch/issues/42919

Pull Request resolved: https://github.com/pytorch/pytorch/pull/48077

Reviewed By: ngimel

Differential Revision: D25687042

Pulled By: bugra

fbshipit-source-id: 05f20a6f3c5212f73d0b1505b493b720e6cf74e5
 2020-12-22 18:07:08 -08:00
shubhambhokare1
bdf360f9f2 [ONNX] Update onnx submodule (#47366) 
Summary:
Update onnx submodule to 1.8 release

Pull Request resolved: https://github.com/pytorch/pytorch/pull/47366

Reviewed By: hl475

Differential Revision: D24968733

Pulled By: houseroad

fbshipit-source-id: 2f0a3436ab3c9380ed8ff0887a483743c1209721
 2020-11-30 00:05:46 -08:00
Bugra Akyildiz
27c7158166 Remove __future__ imports for legacy Python2 supports (#45033) 
Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:

```2to3 -f future -w caffe2```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033

Reviewed By: seemethere

Differential Revision: D23808648

Pulled By: bugra

fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
 2020-09-23 17:57:02 -07:00
Priyanshu
c89d2c6bf2 Replace black_list with block_list (#42088) 
Summary:
Fixes https://github.com/pytorch/pytorch/issues/41735

Pull Request resolved: https://github.com/pytorch/pytorch/pull/42088

Reviewed By: pbelevich

Differential Revision: D22794582

Pulled By: SplitInfinity

fbshipit-source-id: e256353befefa2630b99f9bcf0b79df3a7a8dcbd
 2020-08-20 14:34:02 -07:00
Yinghai Lu
dbdd28207c Expose a generic shape info struct for ONNXIFI Python interface (#42421) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/42421

Previously, we can only feed shape info from Python with float dtype, and batch based dim type when we do onnxifi from Python. This diff removes this limitation and uses TensorBoundShapes protobuf as a generic shape info struct. This will make the onnxifi interface in Python more flexible.

Reviewed By: ChunliF

Differential Revision: D22889781

fbshipit-source-id: 1a89f3a68c215a0409738c425b4e0d0617d58245
 2020-08-03 16:10:05 -07:00
Jeong Ukjae
f03156f9df replace blacklist in caffe2/python/onnx/frontend.py (#41777) 
Summary:
Close https://github.com/pytorch/pytorch/issues/41712

Pull Request resolved: https://github.com/pytorch/pytorch/pull/41777

Reviewed By: izdeby

Differential Revision: D22648532

Pulled By: yinghai

fbshipit-source-id: 7f4c9f313e2887e70bb4eb1ab037aea6b549cec7
 2020-07-22 10:02:16 -07:00
Stanislau Hlebik
b774ce54f8 remediation of S205607 
fbshipit-source-id: 798decc90db4f13770e97cdce3c0df7d5421b2a3
 2020-07-17 17:19:47 -07:00
Stanislau Hlebik
8fdea489af remediation of S205607 
fbshipit-source-id: 5113fe0c527595e4227ff827253b7414abbdf7ac
 2020-07-17 17:17:03 -07:00
Yinghai Lu
3ea15af630 [Onnxifi] Allow adding timeout for OnnxifOp run (#40081) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40081

Adding the functionality to enable timeout of OnnxifiOp run. In the case of backend hanging, it can error out quickly.

Test Plan:
```
 buck test glow/fb/test:test_onnxifinnpi -- test_timeout
```

Reviewed By: jackm321

Differential Revision: D22064533

fbshipit-source-id: 25487287c10ab217eb95692f09d48e13e19436ab
 2020-06-17 16:21:25 -07:00
Lu Fang
15ad9dd30f [ONNX] Bump up ONNX submodule to a82c6a7010e2e332d8f74ad5b0c726fd47c85376 (#39372) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39372

we only bump the submodule in oss to unblock some works

Test Plan: ci

Reviewed By: hl475

Differential Revision: D21830800

fbshipit-source-id: fb4a716992efcd71926f7bba24a7c24422c17e38
 2020-06-02 21:08:14 -07:00
Lu Fang
90a8cdfdbf Automatic update of fbcode/onnx to eae3eb8c61cf5ad27cc9a416dbdc5274982385a6 (#39089) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39089

Previous import was 79a7e0df7e86e0f32e7a05f563b24a566540c18b

Included changes:
- **[eae3eb8c](https://github.com/onnx/onnx/commit/eae3eb8c)**: Use cmake GNUInstallDirs (#2661) <Gustavo Alvarez>
- **[106821e9](https://github.com/onnx/onnx/commit/106821e9)**: Update sequence test case so input is not scalar and splits are specified (#2675) <Scott McKay>
- **[e094e101](https://github.com/onnx/onnx/commit/e094e101)**: Remove unnecessary copies and std::move (#2684) <Changming Sun>
- **[71145275](https://github.com/onnx/onnx/commit/71145275)**: Update Batchnorm test (#2674) <Lara Haidar>
- **[da13be2d](https://github.com/onnx/onnx/commit/da13be2d)**: Rename OPTIONAL to OPTIONAL_VALUE (#2682) <Changming Sun>
- **[2987fa06](https://github.com/onnx/onnx/commit/2987fa06)**: Adding CI for ONNX Debug mode (Linux, OSX) (#2651) <Vinitra Swamy>
- **[46fe392d](https://github.com/onnx/onnx/commit/46fe392d)**: Update Pow input types in Opset 12 (#2666) <Lara Haidar>
- **[ac1caf3b](https://github.com/onnx/onnx/commit/ac1caf3b)**: Change type of label tensor to int32/int64 in SoftmaxCrossEntropyLoss spec. (#2667) <M. Zeeshan Siddiqui>
- **[c2fefcbf](https://github.com/onnx/onnx/commit/c2fefcbf)**: [Training] SG with Momentum Optimizer (#1959) <Wei-Sheng Chin>
- **[8d15705e](https://github.com/onnx/onnx/commit/8d15705e)**: [Training] Add Adagrad optimizer operator (#1955) <Wei-Sheng Chin>
- **[94b01cdd](https://github.com/onnx/onnx/commit/94b01cdd)**: Suppress a warning in unsqueeze (#2637) <Hong Xu>
- **[0582d526](https://github.com/onnx/onnx/commit/0582d526)**: Fix Greater/LessOrEqual function definition (#2645) <Takeshi Watanabe>
- **[b852d819](https://github.com/onnx/onnx/commit/b852d819)**: Increment version number to 1.7.0 (#2639) <Chin Huang>
- **[ff4bb553](https://github.com/onnx/onnx/commit/ff4bb553)**: Regenerate Min test data (#2644) <Takeshi Watanabe>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D21750299

fbshipit-source-id: c33ec1b1e0dc65d0187e78db96d749f9037aae9c
 2020-05-27 18:55:48 -07:00
Natalia Gimelshein
93d87a16eb Revert D21493165: Automatic update of fbcode/onnx to 20b3e10e6c3a9cdab90d2bb864d1c36d3e3651cd 
Test Plan: revert-hammer

Differential Revision:
D21493165

Original commit changeset: 6863b289bfbf

fbshipit-source-id: 47b530c8ffceb3673a86b6cf0c064fe6af0eb72d
 2020-05-26 21:35:29 -07:00
Lu Fang
51274b501a Automatic update of fbcode/onnx to 20b3e10e6c3a9cdab90d2bb864d1c36d3e3651cd (#38203) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38203

Previous import was 79a7e0df7e86e0f32e7a05f563b24a566540c18b

Included changes:
- **[20b3e10e](https://github.com/onnx/onnx/commit/20b3e10e)**: Add 'ignore_index' input in the spec for SoftmaxCrossEntropyLoss and NLLLoss. (#2680) <M. Zeeshan Siddiqui>
- **[eae3eb8c](https://github.com/onnx/onnx/commit/eae3eb8c)**: Use cmake GNUInstallDirs (#2661) <Gustavo Alvarez>
- **[106821e9](https://github.com/onnx/onnx/commit/106821e9)**: Update sequence test case so input is not scalar and splits are specified (#2675) <Scott McKay>
- **[e094e101](https://github.com/onnx/onnx/commit/e094e101)**: Remove unnecessary copies and std::move (#2684) <Changming Sun>
- **[71145275](https://github.com/onnx/onnx/commit/71145275)**: Update Batchnorm test (#2674) <Lara Haidar>
- **[da13be2d](https://github.com/onnx/onnx/commit/da13be2d)**: Rename OPTIONAL to OPTIONAL_VALUE (#2682) <Changming Sun>
- **[2987fa06](https://github.com/onnx/onnx/commit/2987fa06)**: Adding CI for ONNX Debug mode (Linux, OSX) (#2651) <Vinitra Swamy>
- **[46fe392d](https://github.com/onnx/onnx/commit/46fe392d)**: Update Pow input types in Opset 12 (#2666) <Lara Haidar>
- **[ac1caf3b](https://github.com/onnx/onnx/commit/ac1caf3b)**: Change type of label tensor to int32/int64 in SoftmaxCrossEntropyLoss spec. (#2667) <M. Zeeshan Siddiqui>
- **[c2fefcbf](https://github.com/onnx/onnx/commit/c2fefcbf)**: [Training] SG with Momentum Optimizer (#1959) <Wei-Sheng Chin>
- **[8d15705e](https://github.com/onnx/onnx/commit/8d15705e)**: [Training] Add Adagrad optimizer operator (#1955) <Wei-Sheng Chin>
- **[94b01cdd](https://github.com/onnx/onnx/commit/94b01cdd)**: Suppress a warning in unsqueeze (#2637) <Hong Xu>
- **[0582d526](https://github.com/onnx/onnx/commit/0582d526)**: Fix Greater/LessOrEqual function definition (#2645) <Takeshi Watanabe>
- **[b852d819](https://github.com/onnx/onnx/commit/b852d819)**: Increment version number to 1.7.0 (#2639) <Chin Huang>
- **[ff4bb553](https://github.com/onnx/onnx/commit/ff4bb553)**: Regenerate Min test data (#2644) <Takeshi Watanabe>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D21493165

fbshipit-source-id: 6863b289bfbf4235e36f0e2456ce44c776aaf164
 2020-05-26 20:12:36 -07:00
Lu Fang
8181711637 Automatic update of fbcode/onnx to 79a7e0df7e86e0f32e7a05f563b24a566540c18b (#38106) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38106

Previous import was 807c62cf7e4c96ce49040bcf073b7e4a054f28a5

Included changes:
- **[79a7e0df](https://github.com/onnx/onnx/commit/79a7e0df)**: Fix copy paste error of Min op test case (#2640) <Takeshi Watanabe>
- **[4cd2538d](https://github.com/onnx/onnx/commit/4cd2538d)**: Add a release pipeline for Windows python packages (#2632) <Changming Sun>
- **[e8b33a5a](https://github.com/onnx/onnx/commit/e8b33a5a)**: Adding UnfoldToDepth op [1.7 Release] (#2616) <Negin Raoof>
- **[c2a8d525](https://github.com/onnx/onnx/commit/c2a8d525)**: update docs (#2627) <Ksenija Stanojevic>
- **[22752354](https://github.com/onnx/onnx/commit/22752354)**: Generate tests for MeanSquareDistance and SoftmaxCrossEntropyLoss (#2623) <Jonny Shipton>
- **[602bd622](https://github.com/onnx/onnx/commit/602bd622)**: Add section about external tensor data to IR.md (#2323) <Jonny Shipton>
- **[165c3f3b](https://github.com/onnx/onnx/commit/165c3f3b)**: Add integer support to Clip (#2532) <Jonny Shipton>
- **[a5fabf87](https://github.com/onnx/onnx/commit/a5fabf87)**: Add operators LessOrEqual and GreaterOrEqual (as functions) (#2606) <Jeremy Cochoy>
- **[f1dcdafc](https://github.com/onnx/onnx/commit/f1dcdafc)**: Fix input document of quantized operators (#2117) <Takeshi Watanabe>
- **[43af9b69](https://github.com/onnx/onnx/commit/43af9b69)**: Add reference impl for sequence ops (#2380) <Bowen Bao>
- **[aa50aa12](https://github.com/onnx/onnx/commit/aa50aa12)**: Print value case of TypeProto more friendly (#2422) <Takeshi Watanabe>
- **[2e67bfc3](https://github.com/onnx/onnx/commit/2e67bfc3)**: Fix issue #2436 (#2447) <daquexian>
- **[d27ffc6b](https://github.com/onnx/onnx/commit/d27ffc6b)**: Add support for integer tensors to Min and Max (#2608) <Jonny Shipton>
- **[5cc668af](https://github.com/onnx/onnx/commit/5cc668af)**: Update IR.md to describe training extension. (#2615) <G. Ramalingam>
- **[8c5bf9d4](https://github.com/onnx/onnx/commit/8c5bf9d4)**: Generate node backend tests for celu operator (#2607) <Jonny Shipton>
- **[7b65287e](https://github.com/onnx/onnx/commit/7b65287e)**: Change dtype of dd_da in gradient test to float32 (#2620) <Shinichiro Hamaji>
- **[e91739f2](https://github.com/onnx/onnx/commit/e91739f2)**: Introduce SoftmaxCrossentropy as a loss function (#2573) <Ksenija Stanojevic>
- **[b008ed3a](https://github.com/onnx/onnx/commit/b008ed3a)**: Support gathernd with batch_dim mode (#2585) <wezuo>
- **[d2fe4f22](https://github.com/onnx/onnx/commit/d2fe4f22)**: Introduce MeanSquaredError as Loss Function (#2570) <Ksenija Stanojevic>
- **[10b812a6](https://github.com/onnx/onnx/commit/10b812a6)**: Add support for default attributes within FunctionExpandHelper (#2588) <Ewa Tusień>
- **[3368834c](https://github.com/onnx/onnx/commit/3368834c)**: adding version update content. (#2609) <Ke Zhang>
- **[8873cb02](https://github.com/onnx/onnx/commit/8873cb02)**: Adding Inverse Op (#2578) <Negin Raoof>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D21471424

fbshipit-source-id: 5009a5f9558458a0aba56b2a9e8fffc3895a9e02
 2020-05-08 21:47:11 -07:00
Lu Fang
3cade9cdd4 Automatic update of fbcode/onnx to 807c62cf7e4c96ce49040bcf073b7e4a054f28a5 (#37983) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37983

Previous import was 9fdae4c68960a2d44cd1cc871c74a6a9d469fa1f

Included changes:
- **[807c62cf](https://github.com/onnx/onnx/commit/807c62cf)**: Training Proposal: Spec Changes and Gradient Operator (#2314) <Wei-Sheng Chin>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D21441188

fbshipit-source-id: 88b5be5bd479b59bdb45525f5dfe61d787151cdd
 2020-05-07 20:07:31 -07:00
Nikita Shulga
952e0f00a4 Skip c2_ref_tests on network failures (#37972) 
Summary:
Skip the tests if network is unaccessible and model can not be downloaded
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37972

Differential Revision: D21441996

Pulled By: malfet

fbshipit-source-id: 5ce59764584974aee9195572338ada1fa0351a75
 2020-05-06 22:19:28 -07:00
Lu Fang
1aedc2c5b9 Skip c2 ref onnx model tests (#37591) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37591

skip the tests since gluster is gone.

Test Plan: ci

Reviewed By: ezyang

Differential Revision: D21330359

fbshipit-source-id: a4e158fb72eddb08ba49fcfa9541569a150f8481
 2020-04-30 14:32:47 -07:00
Edward Yang
d5f8c8f3ba Revert D20121169: [pytorch][PR] ONNX Export Support for CrossEntropyLoss 
Test Plan: revert-hammer

Differential Revision:
D20121169

Original commit changeset: 7b56617e8c60

fbshipit-source-id: d7f302d1e54f3c978c3be0a0ad1ee600790a5b27
 2020-03-12 20:30:54 -07:00
Ksenija Stanojevic
944ea4c334 ONNX Export Support for CrossEntropyLoss (#33767) 
Summary:
Add ONNX export support for torch.nn.CrossEntropyLoss.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33767

Reviewed By: hl475

Differential Revision: D20121169

Pulled By: houseroad

fbshipit-source-id: 7b56617e8c60617b922949fc8b4ecc626eedf7ed
 2020-03-12 11:46:58 -07:00
Lu Fang
e5c7b7b8b5 Automatic update of fbcode/onnx to 04a29addfd5b912812addb8dea5f8763fbfaad01 (#33328) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33328

Previous import was 8b3f7e2e7a0f2aba0e629e23d89f07c7fc0e6a5e

Included changes:
- **[04a29add](https://github.com/onnx/onnx/commit/04a29add)**: Use // instead of # (#2598) <Lu Fang>
- **[f8e140a9](https://github.com/onnx/onnx/commit/f8e140a9)**: Kezhan/function update (#2596) <Ke Zhang>
- **[6185faae](https://github.com/onnx/onnx/commit/6185faae)**: fix the attribute types section in IR.md (#2590) <Ke Zhang>
- **[f254647a](https://github.com/onnx/onnx/commit/f254647a)**: Allow Constant operator to promote scalar and list to tensors. (#2592) <Jeremy Cochoy>
- **[f12ec799](https://github.com/onnx/onnx/commit/f12ec799)**: Add NegativeLogLikelihood(NllLoss) op (#2551) <liqunfu>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D19897554

fbshipit-source-id: d8efb5c5ac8f9d71727de33c67af681ed8ec8123
 2020-02-13 21:03:17 -08:00
Lu Fang
674dca0831 Automatic update of fbcode/onnx to 8b3f7e2e7a0f2aba0e629e23d89f07c7fc0e6a5e (#33075) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33075

Previous import was 65020daafa9183c769938b4512ce543fd5740f8f

Included changes:
- **[8b3f7e2e](https://github.com/onnx/onnx/commit/8b3f7e2e)**: Update Dropout and  BatchNorm to be Training Friendly (#2568) <Lara Haidar>
- **[61f0bbc5](https://github.com/onnx/onnx/commit/61f0bbc5)**: Fix a bug in ScatterND shape inference (#2577) <Bowen Bao>
- **[05bce9cf](https://github.com/onnx/onnx/commit/05bce9cf)**: add utility function to make reference attribute whose name is not the same as the attribute it refers. (#2583) <Ke Zhang>
- **[71181c83](https://github.com/onnx/onnx/commit/71181c83)**: Clarify spec for constant of shape with dim_n = 0 (#2567) <Negin Raoof>
- **[eadba733](https://github.com/onnx/onnx/commit/eadba733)**: Update sigs.md with link to calendar page (#2579) <Prasanth Pulavarthi>
- **[08562f8e](https://github.com/onnx/onnx/commit/08562f8e)**: Update working-groups.md (#2580) <Prasanth Pulavarthi>
- **[0e718913](https://github.com/onnx/onnx/commit/0e718913)**: Fix Slice op's shape inference logic (#2526) <Hariharan Seshadri>
- **[12111410](https://github.com/onnx/onnx/commit/12111410)**: Add missing spaces to Random*Like doc (#2572) <Takeshi Watanabe>
- **[7e6e61d6](https://github.com/onnx/onnx/commit/7e6e61d6)**: Contributing: fix typos (#2571) <Maher Jendoubi>
- **[bbd604ef](https://github.com/onnx/onnx/commit/bbd604ef)**: Add Einsum op (#2504) <Negin Raoof>
- **[fd3ab73a](https://github.com/onnx/onnx/commit/fd3ab73a)**: Clarify split supports zero length splits (#2544) <Negin Raoof>
- **[6dd73774](https://github.com/onnx/onnx/commit/6dd73774)**: Fix circleci build and drop unsupported Windows builds (#2565) <Wei-Sheng Chin>
- **[b3d201a2](https://github.com/onnx/onnx/commit/b3d201a2)**: Fix the formula of intermediate zero calculation for DynamicQuantizeLinear (#2556) <Yufeng Li>
- **[3613eb25](https://github.com/onnx/onnx/commit/3613eb25)**: Add wording to clarify. (#2555) <Dwayne Robinson>
- **[dfa4384c](https://github.com/onnx/onnx/commit/dfa4384c)**: Fix shape inference for Split with split attribute (#2328) <Shinichiro Hamaji>
- **[684fc1bc](https://github.com/onnx/onnx/commit/684fc1bc)**: Keep symbolic dims in Concat with a single input (#2418) <Shinichiro Hamaji>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D19784487

fbshipit-source-id: 421cdc3394faeff0168853f4ff065fc599ca3967
 2020-02-07 02:18:57 -08:00
Brian Wignall
f326045b37 Fix typos, via a Levenshtein-type corrector (#31523) 
Summary:
Should be non-semantic.

Uses https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines to find likely typos, with https://github.com/bwignall/typochecker to help automate the checking.

Uses an updated version of the tool used in https://github.com/pytorch/pytorch/pull/30606 .
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31523

Differential Revision: D19216749

Pulled By: mrshenli

fbshipit-source-id: 7fd489cb9a77cd7e4950c1046f925d57524960ea
 2020-01-17 16:03:19 -08:00
Lu Fang
f6f1e0aef5 Automatic update of fbcode/onnx to 65020daafa9183c769938b4512ce543fd5740f8f (#32125) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32125

Previous import was 57ebc587fcf3913b4be93653b0dd58c686447298

Included changes:
- **[65020daa](https://github.com/onnx/onnx/commit/65020daa)**: better error message for undefined inputs (#2540) <Yuxin Wu>
- **[8afff0e9](https://github.com/onnx/onnx/commit/8afff0e9)**: bump ORT version (#2538) <Lu Fang>
- **[3d9ca57e](https://github.com/onnx/onnx/commit/3d9ca57e)**: fix name of directory (#2537) <Prasanth Pulavarthi>
- **[df8fa2c9](https://github.com/onnx/onnx/commit/df8fa2c9)**: Repository guidelines (#2539) <Prasanth Pulavarthi>
- **[49cc2f02](https://github.com/onnx/onnx/commit/49cc2f02)**: Update CircleCI job to use Python3.6 (#2527) <bddppq>
- **[25ff79a4](https://github.com/onnx/onnx/commit/25ff79a4)**: Fix wrong model version, it's not 12 (the onnx_opset_version()), not 11 (the opset version of the latest stable), but 10 (#2478) <daquexian>
- **[7cebaed5](https://github.com/onnx/onnx/commit/7cebaed5)**: Fix Windows py3.5 CI (#2529) <bddppq>
- **[eddae00e](https://github.com/onnx/onnx/commit/eddae00e)**: Correct the order of arguments of InferShapes (#2500) <Shinichiro Hamaji>
- **[41b5afe6](https://github.com/onnx/onnx/commit/41b5afe6)**: Include <ostream> in common/status.h (#2519) <Casey Carter>
- **[423f1977](https://github.com/onnx/onnx/commit/423f1977)**: add 8 bit support to maxpool op (#2510) <Ashwini Khade>
- **[78593c2f](https://github.com/onnx/onnx/commit/78593c2f)**: add 8 bit support to reducemin and reducemax ops (#2516) <Ashwini Khade>

Test Plan: cont build

Reviewed By: benoitsteiner

Differential Revision: D19380034

fbshipit-source-id: ddce8450864a611773b2a32e2f0254c9bb6b6906
 2020-01-14 15:21:37 -08:00
Yinghai Lu
d2fdf140af Combine all the user inputs together and convert them to fp16 (#31898) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31898

Att

Reviewed By: tracelogfb

Differential Revision: D19291357

fbshipit-source-id: 747ed5234ca042ceeaff2d094701ead7597ac3ee
 2020-01-08 14:36:42 -08:00
Lu Fang
c34ef1aa2e Automatic update of fbcode/onnx to c08a7b76cf7c1555ae37186f12be4d62b2c39b3b (#30619) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30619

Previous import was fea8568cac61a482ed208748fdc0e1a8e47f62f5

Included changes:
- **[c08a7b76](https://github.com/onnx/onnx/commit/c08a7b76)**: doc: fix some typos at ONNXIFI (#2473) <Yorkie Liu>
- **[4be12d46](https://github.com/onnx/onnx/commit/4be12d46)**: remove workshop update since it is done (#2460) <Prasanth Pulavarthi>
- **[86107d1b](https://github.com/onnx/onnx/commit/86107d1b)**: Updated with correct URL to LICENSE (#2468) <Ryan Loney>
- **[9bf6fbb6](https://github.com/onnx/onnx/commit/9bf6fbb6)**: Update Argmin/Argmax (#2461) <Lara Haidar>
- **[748d81b8](https://github.com/onnx/onnx/commit/748d81b8)**: Fix windows conda build (#2452) <Ashwini Khade>
- **[a32db1c5](https://github.com/onnx/onnx/commit/a32db1c5)**: Delete duplicate word in comment (#2439) <Haibo Hao>
- **[e108da9a](https://github.com/onnx/onnx/commit/e108da9a)**: Fix bug in function body verifier (#2390) <G. Ramalingam>
- **[c3d3ef82](https://github.com/onnx/onnx/commit/c3d3ef82)**: docs: fix typo in IR.md (#2441) <Elliot Waite>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D18766132

fbshipit-source-id: 13c04f21399579acb87a8f9fac2e4c329b0720b8
 2019-12-10 10:15:08 -08:00
Supriya Rao
a51c5f5cbf Add JIT pass to insert permutes for conv ops (#30679) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30679

Caffe2 expects quantized ops to be in NHWC format while pytorch inputs are in NCHW.
Add a jit pass to insert permutes to convert from nchw2nhwc before each conv op and add nhwc2nchw permute after the conv op.
Using graph rewriter to find consecutive redundant permutes and remove them from the graph

Test Plan:
python test/onnx/test_pytorch_onnx_caffe2_quantized.py TestQuantizedOps

Imported from OSS

Differential Revision: D18790518

fbshipit-source-id: 4dd39cf0b31b21f5586c0edfdce2260d4e245112
 2019-12-05 18:51:16 -08:00
Brian Wignall
e7fe64f6a6 Fix typos (#30606) 
Summary:
Should be non-semantic.

Uses https://en.wikipedia.org/wiki/Wikipedia:Lists_of_common_misspellings/For_machines to find likely typos.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30606

Differential Revision: D18763028

Pulled By: mrshenli

fbshipit-source-id: 896515a2156d062653408852e6c04b429fc5955c
 2019-12-02 20:17:42 -08:00
Lu Fang
d6ee58494f Automatic update of fbcode/onnx to 23bb6ea1a71f08e200114a153f48bd7adb66d486 (#26441) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26441

Previous import was 1316afc9f972f81340faa05763e2898f38bcc3b0

Included changes:
- **[23bb6ea1](https://github.com/onnx/onnx/commit/23bb6ea1)**: Gemm optional bias (#2330) <James Allingham>
- **[1ac1f219](https://github.com/onnx/onnx/commit/1ac1f219)**: Changes for AIX platform (#1913) <kavanabhat>
- **[13b026f5](https://github.com/onnx/onnx/commit/13b026f5)**: Updated test cases for reshape (#2127) <James Allingham>
- **[97fcfe30](https://github.com/onnx/onnx/commit/97fcfe30)**: Replace is by == (#2326) <G. Ramalingam>
- **[3b5601e6](https://github.com/onnx/onnx/commit/3b5601e6)**: Updated docs for strides and dilations attributes  (#2291) <James Allingham>
- **[d0c697b1](https://github.com/onnx/onnx/commit/d0c697b1)**: Revamped test cases for Gemm (#2060) <James Allingham>
- **[a3955c3c](https://github.com/onnx/onnx/commit/a3955c3c)**: Add more shape inference tests for Logical operators to improve coverage (#2133) <Hariharan Seshadri>
- **[e2e12d97](https://github.com/onnx/onnx/commit/e2e12d97)**: Change incorrect use of ValueError to TypeError (#2304) <prcvih>
- **[1f4b5f8c](https://github.com/onnx/onnx/commit/1f4b5f8c)**: Support dynamic 'pads' and 'value' in Pad operator (#2031) <Hariharan Seshadri>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D17466717

fbshipit-source-id: 0f89a7a5a821d2c693492c99b4bebd5966e21d9f
 2019-09-24 05:38:52 -07:00
Lu Fang
bebc3d6aad Automatic update of fbcode/onnx to 1316afc9f972f81340faa05763e2898f38bcc3b0 (#26309) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26309

Previous import was 95252c2adec185e305e34486c6756ece9aa8f57f

Included changes:
- **[1316afc9](https://github.com/onnx/onnx/commit/1316afc9)**: Update IR doc to clarify initializers are permitted as node inputs (#2320) <G. Ramalingam>
- **[5e920d0c](https://github.com/onnx/onnx/commit/5e920d0c)**: Avoid uses of special chars (#2315) <Wei-Sheng Chin>
- **[2fa08b0f](https://github.com/onnx/onnx/commit/2fa08b0f)**: Regenerate ONNX proto and add release date to ver 6 IR (#2316) <Wei-Sheng Chin>
- **[adf9c7a3](https://github.com/onnx/onnx/commit/adf9c7a3)**: Add description of default type about y_zero_point (#2110) <Takeshi Watanabe>
- **[ee7072c7](https://github.com/onnx/onnx/commit/ee7072c7)**: Support make_attribute empty string (#2129) <shjwudp>
- **[f913b6e7](https://github.com/onnx/onnx/commit/f913b6e7)**: More unsqueeze tests (#2200) <James Allingham>
- **[57b51937](https://github.com/onnx/onnx/commit/57b51937)**: Fix resize shape inference issue in opset10 (#2294) <Bowen Bao>
- **[d7595f34](https://github.com/onnx/onnx/commit/d7595f34)**: Sequence related ops (#2249) <Bowen Bao>
- **[599f3da9](https://github.com/onnx/onnx/commit/599f3da9)**: Add helper function update_inputs_outputs_dims to tools (#2148) <Bowen Bao>
- **[3e6382bc](https://github.com/onnx/onnx/commit/3e6382bc)**: Update documentation about required input output types (#2310) <G. Ramalingam>
- **[0c765d9b](https://github.com/onnx/onnx/commit/0c765d9b)**: Shape inference for NMS (#2269) <Hariharan Seshadri>
- **[89266710](https://github.com/onnx/onnx/commit/89266710)**: Fix extra collect_snippets warning (#2277) (#2307) <Lutz Roeder>

Test Plan: ci

Reviewed By: hl475

Differential Revision: D17403954

fbshipit-source-id: 78a9c3ecf5aa7f7a0ba8ea30286eab61ee903772
 2019-09-17 06:46:59 -07:00
Lu Fang
7e4ac8b851 Automatic update of fbcode/onnx to 7988d8360b11e6003560076e9b1d4aa426db3244 (#25959) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25959

Previous import was 28ca699b69b5a31892619defca2391044a9a6052

Included changes:
- **[7988d836](https://github.com/onnx/onnx/commit/7988d836)**: Supporting negative axes for all existing onnx ops (#2281) <Negin Raoof>
- **[5ca0a09e](https://github.com/onnx/onnx/commit/5ca0a09e)**: Update managingexperimentalops.md (#1981) <Joseph Spisak>
- **[bc0495c1](https://github.com/onnx/onnx/commit/bc0495c1)**: Fix link to community docs in readme (#2261) <Prasanth Pulavarthi>
- **[2fdb3ef6](https://github.com/onnx/onnx/commit/2fdb3ef6)**: move map and sequence types to onnx domain, (#2244) <Ke Zhang>
- **[568b65aa](https://github.com/onnx/onnx/commit/568b65aa)**: Improve compatiblity with proto3 and enable reading attributes (#2288) <Dmitri Smirnov>
- **[1f350f2c](https://github.com/onnx/onnx/commit/1f350f2c)**: Remove type info for loop variadic input in Loop op used to compose the Range op (#2287) <Hariharan Seshadri>
- **[eb139446](https://github.com/onnx/onnx/commit/eb139446)**: Add Foundation WG to working-groups.md (#2276) <Ryan Loney>
- **[4eabc4b3](https://github.com/onnx/onnx/commit/4eabc4b3)**: Fix testdata model for CumSum. Add exclusive attribute. (#2271) <jignparm>
- **[1a62afdb](https://github.com/onnx/onnx/commit/1a62afdb)**: Support GatherND operator in ONNX (#2106) <Hariharan Seshadri>
- **[0e330e9d](https://github.com/onnx/onnx/commit/0e330e9d)**: Support ScatterND operator in ONNX (#2220) <Bowen Bao>
- **[733f7a6a](https://github.com/onnx/onnx/commit/733f7a6a)**: Add Det to ONNX (#2233) <Bowen Bao>
- **[52187738](https://github.com/onnx/onnx/commit/52187738)**: Update the description of nearest_mode of resize op (#2257) <daquexian>
- **[64b4b686](https://github.com/onnx/onnx/commit/64b4b686)**: Adding sparse tensor to ONNX (#2019) <G. Ramalingam>
- **[c8a8b7cc](https://github.com/onnx/onnx/commit/c8a8b7cc)**: Support Range operator in ONNX (#2242) <Hariharan Seshadri>
- **[44b0d6d5](https://github.com/onnx/onnx/commit/44b0d6d5)**: Update resize op (#2057) <daquexian>
- **[7d907964](https://github.com/onnx/onnx/commit/7d907964)**: Add function to fuse dynamic quantization graph into 1 node (#2187) <Ashwini Khade>
- **[36f8e6d9](https://github.com/onnx/onnx/commit/36f8e6d9)**: Update logo_request.md (#2231) <Prasanth Pulavarthi>
- **[4eb737c8](https://github.com/onnx/onnx/commit/4eb737c8)**: Update Clip in opset 11 to support min/max as inputs instead of attributes (#2096) <Bowen Bao>
- **[a25e1388](https://github.com/onnx/onnx/commit/a25e1388)**: Fix segfault in tile shape inference (#2221) <daquexian>
- **[2dc273c7](https://github.com/onnx/onnx/commit/2dc273c7)**: update onehot shape inference to reflect the spec for depth input (#2224) <Ashwini Khade>
- **[665211c1](https://github.com/onnx/onnx/commit/665211c1)**: Add GatherElements Op and Rename ScatterElements (#2143) <Lara Haidar>
- **[3ba2e31a](https://github.com/onnx/onnx/commit/3ba2e31a)**: Unique (#2141) <liqunfu>
- **[5a5588ad](https://github.com/onnx/onnx/commit/5a5588ad)**: Clarify dimension variable scoping (#2211) <G. Ramalingam>
- **[fabe39d5](https://github.com/onnx/onnx/commit/fabe39d5)**: Liqun/topk sort (#2126) <liqunfu>
- **[453aa644](https://github.com/onnx/onnx/commit/453aa644)**: Update document for NMS (#2193) <Hector Li>
- **[34e28ec2](https://github.com/onnx/onnx/commit/34e28ec2)**: Handle negative 'axis' value in Split type and shape inferencing (#2177) <Scott McKay>
- **[28ec4583](https://github.com/onnx/onnx/commit/28ec4583)**: depth to space shuffle order (#2163) <Negin Raoof>
- **[98f72629](https://github.com/onnx/onnx/commit/98f72629)**: minor updates to fix links in readme (#2189) <Prasanth Pulavarthi>
- **[321d1467](https://github.com/onnx/onnx/commit/321d1467)**: Add check to disallow squeezing input axes which are not 1 (#2204) <Ashwini Khade>
- **[573f0dc9](https://github.com/onnx/onnx/commit/573f0dc9)**: fix a bug in fun shape inference (#2188) <Tang, Cheng>
- **[36dc7110](https://github.com/onnx/onnx/commit/36dc7110)**: Clarify ambiguity in gather spec regarding indices expectation (#2202) <Ashwini Khade>
- **[a2449673](https://github.com/onnx/onnx/commit/a2449673)**: Fix some minor issues in IR.md and Versioning.md (#2108) <edgchen1>
- **[349aff69](https://github.com/onnx/onnx/commit/349aff69)**: Skip install typing package for python >=3.5 (#2199) <bddppq>

Test Plan: ci

Reviewed By: bddppq, benoitsteiner

Differential Revision: D17296390

fbshipit-source-id: 9f9f5ce85d9694128008d756c2ea393bd4e0cb71
 2019-09-12 12:15:03 -07:00
Dmytro Dzhulgakov
a6a7f35481 Better error messages in C2 ONNX backend (#25809) 
Summary:
Just a tiny fix to make debugging easier (output errors to stderr and include in the exception message)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25809

Reviewed By: zrphercule

Differential Revision: D17329957

Pulled By: houseroad

fbshipit-source-id: 0d73dd9f62c735fbc5096e6a7c0e5f58e4cd90ae
 2019-09-11 17:00:42 -07:00
neginraoof
3574d9ff70 updated pixel_shuffle in opset 11 to use depthToSpace 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/23739

Differential Revision: D16800355

Pulled By: bddppq

fbshipit-source-id: 1502c5b7ec1495286bad17b6ffa359cf995f78fb
 2019-08-15 11:37:44 -07:00
Amy Yang
9588cd921e weight_names bug fix (#23848) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23848

Problem:
In experiment running feed model 127607201 (/mnt/public/tracelog/feed_repro2/127607201_0.predictor), encountered blob dimensionality mismatch error when running onnxified net. This is due to the model initializing input blobs in current workspace with blob size 0, and onnxifi() falsely identified those input blobs as weight blobs and assigned wrong dimension.

Solution:
Add option to pass correct weight blob names to onnxifi() instead of using all blobs in current workspace.

Reviewed By: yinghai

Differential Revision: D16661396

fbshipit-source-id: cabe44db6b64e6538bef4b65e380312214b3ba9f
 2019-08-06 10:58:43 -07:00
Lu Fang
796a39ba85 Automatic update of fbcode/onnx to 707064980b9825b8705b9d1c9aad34d8b022d5dd (#22981) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22981

Previous import was 806aa863020fa180e57f576cb032ec44ce8ddcca

Included changes:
- **[70706498](https://github.com/onnx/onnx/commit/70706498)**: TensorProto::INT8 & INT16 were missed here (#2164) <ZINEKS>
- **[8218a4ea](https://github.com/onnx/onnx/commit/8218a4ea)**: Fix LabelEncoder's shape inference (#2170) <Wei-Sheng Chin>
- **[0f1a9a1c](https://github.com/onnx/onnx/commit/0f1a9a1c)**: Fixing a unit test in Cumsum Operator (#2157) <Jeff Saremi>
- **[2c03cff0](https://github.com/onnx/onnx/commit/2c03cff0)**: [New Operator] CumSum (#2030) <Jeff Saremi>
- **[220b8300](https://github.com/onnx/onnx/commit/220b8300)**: Fix globalpool output shape (#2147) <daquexian>

Reviewed By: benoitsteiner

Differential Revision: D16341736

fbshipit-source-id: 7e7a2684d8c821991231bfd6558f9f6cb4fb05fb
 2019-07-17 14:05:14 -07:00
hexiaoting
34536e207a Fix: convert Onnx DynamicSlice operator with 4 inputs to caffe2 fa… (#20846) 
Summary:
I reported an issue [https://github.com/pytorch/pytorch/issues/20743](url)
and make this pull request for it
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20846

Reviewed By: zrphercule

Differential Revision: D15569135

Pulled By: houseroad

fbshipit-source-id: 96a2c818ef666a7d79b96decfa347d7154b34d5c
 2019-06-19 00:09:15 -07:00
Lu Fang
c2a08d339b Automatic update of fbcode/onnx to dd599b05f424eb161a31f3e059566a33310dbe5e (#21641) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21641

Previous import was 5160f3ac3380302224998f1c95e111cd961c4bc5

Included changes:
- **[dd599b05](https://github.com/onnx/onnx/commit/dd599b05)**: Fix type s/depracted/deprecated/ (#2092) <Takeshi Watanabe>
- **[abb1702a](https://github.com/onnx/onnx/commit/abb1702a)**: Add shape inference for Tile op (#2076) <Hariharan Seshadri>
- **[67638d9c](https://github.com/onnx/onnx/commit/67638d9c)**: [New Operator] Round (#2053) <Jeff Saremi>
- **[584e4477](https://github.com/onnx/onnx/commit/584e4477)**: Add dilations support in ConvTranspose shape inference and update docs (#2068) <daquexian>

Reviewed By: zrphercule

Differential Revision: D15762382

fbshipit-source-id: 590f25fb733e1565eb90fcdeb797b0ba34e2d2c3
 2019-06-11 16:54:47 -07:00