Refactor torchscript based exporter logic to move them to a single (private) location for better code management. Original public module and method apis are preserved.
- Updated module paths in `torch/csrc/autograd/python_function.cpp` accordingly
- Removed `check_onnx_broadcast` from `torch/autograd/_functions/utils.py` because it is private&unused
@albanD / @soulitzer could you review changes in `torch/csrc/autograd/python_function.cpp` and
`torch/autograd/_functions/utils.py`? Thanks!
## BC Breaking
- **Deprecated members in `torch.onnx.verification` are removed**
Differential Revision: [D81236421](https://our.internmc.facebook.com/intern/diff/D81236421)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/161323
Approved by: https://github.com/titaiwangms, https://github.com/angelayi
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
ghstack dependencies: #127122, #127123, #127124, #127125
Very low probability, but it is possible to have all values positive throughout the
execution of this test model. The test tries to fake an incorrect export by replacing
relu's output with its input. However, the behavior of the model is the same when
values are all positive. Hence leading to false test failure.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/92105
Approved by: https://github.com/titaiwangms
fix#78119
Why:
As in onnx tests verification code, we used to only consider tracing output, which ignores None type, this PR enables runtime test to keep None type in torch in script mode.
1. Move Optional Type tests from no runtime to runtime, as it's supported by ONNXRUNTIME.
2. Add ignoreNone flag for output comparison of internal tests
Pull Request resolved: https://github.com/pytorch/pytorch/pull/83184
Approved by: https://github.com/justinchuby, https://github.com/BowenBao
A graph is exported for each set of inputs. The exported graphs are then compared
to each other, and discrepancies are reported. This function first checks the jit
graph, and then the onnx graph.
Unless otherwise specified, the jit/ONNX graph is expected to be the same, regardless
of the inputs it used for exporting. A discrepancy would imply the graph exported is
not accurate when running with other set of inputs, which will typically results in
runtime error or output mismatches.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78323
Approved by: https://github.com/justinchuby, https://github.com/garymm
