Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13007
No reason to use the hook if it's set, this helps fbcode traces.
This slightly pessimizes the stack trace for ATen functions,
because we are no longer skipping all of the frames we should.
This is probably OK.
Reviewed By: Yangqing
Differential Revision: D10518499
fbshipit-source-id: be54e490df3c3fde7ff894b5b1473442ffc7ded3
Summary:
Changes in this PR:
1. Intermediate Docker image is shared from build stage to test stage through ECR, in order to fix the Caffe2 flaky CUDA tests.
2. There are ~7 Caffe2 operator tests that are only flaky in `caffe2_py2_gcc4_8_ubuntu14_04_test` on CPU. Disabling those tests on that config only, which is okay to do because we are still running those tests in other test jobs.
After this PR is merged, CircleCI will be running on master automatically, and will be running on PRs if the author rebased their PR onto the newest master (which we will ask all the authors to do when we switch off Jenkins for Linux).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12389
Differential Revision: D10224267
Pulled By: yf225
fbshipit-source-id: dd1a90a425c3d13b870d3d328cb301eee2e6e2cd
Summary:
This PR adds all PyTorch and Caffe2 job configs to CircleCI.
Steps for the CircleCI mini-trial:
- [ ] Make sure this PR passes Jenkins CI and fbcode internal tests
- [x] Approve this PR
- [ ] Ask CircleCI to turn up the number of build machines
- [ ] Land this PR so that the new `.circleci/config.yml` will take effect
Several Caffe2 tests are flaky on CircleCI machines and hence skipped when running on CircleCI. A proper fix for them will be worked on after a successful mini-trial.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11264
Differential Revision: D9656793
Pulled By: yf225
fbshipit-source-id: 7832e90018f3dff7651489c04a179d6742168fe1
Summary:
The broadcast is used by default when the opset version is greater then 6.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10108
Reviewed By: bddppq
Differential Revision: D9176934
Pulled By: houseroad
fbshipit-source-id: b737bd87b0ddc241c657d35856d1273c9950eeba
Summary:
And let Gemm conversion to inspect the input `C` to try converting to FC.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9870
Reviewed By: houseroad
Differential Revision: D9013198
Pulled By: bddppq
fbshipit-source-id: b4c509cfccca238262e1c406b004e66cef256321
* Check mappings ONNX -> Caffe2 bear the same argument names
When adding an extra arg to an input ONNX op, if it's not supported in Caffe2, the exporter would just silently pass it to NetDef and ignore it in the implementation. It's pretty error-prone. Caffe2 also has an OpSchema description and we can enforce that all arguments explicitly appear in schema or listed explicitly in Caffe2.
See also https://github.com/caffe2/caffe2/pull/2478
Add test for C2 argument checking
* Some operators do not log arguments, which prevents argument checks.
Invite users to file an issue to fix the schema.
* Fix useless opset_import in onnx
* Set the default ir version in make_model
* Use the target_opset_version in Caffe2Frontend
* remove make_model from helper in caffe2.python.onnx
* Handle legacy pad in Caffe2==>ONNX converter, also remove fake initializer
* Address the comments, 1) have filtering fake initializer before ssa rewrite, 2) polish the legacy padding handling logic
* Add test cases to cover the code just added
* Nit
