pytorch

b652577d - Change test_torchinductor_opinfo.py to mark skips/xfails in a better way (#94813)

Change test_torchinductor_opinfo.py to mark skips/xfails in a better way (#94813) With this change, expected failures will be correctly reported as such by pytest (instead of passes as before). It was sometimes a little confusing to see operators you did not expect to work in inductor reported as passing their tests. One downside is that expected failures/skips for test variants have now to be identified by tuples. I.e., `("max", "reduction_no_dim"): {f16},` instead of just `"max.reduction_no_dim": {f16}`. It seems to me it is worth it. This change would also allow to simplify `TestInductorOpInfo` class a little, since it doesn't have to handle the skips/xfails anymore, but that might require dropping support for things like `PYTORCH_COLLECT_EXPECT` and `PYTORCH_FAIL_ON_SUCCESS` so I didn't do it. Also couple of other minor changes: - Got rid of c32, c64, c128 in torchinductor_opinfo. We don't support complex numbers, so they shouldn't be necessary. - Renamed TestExpect Enum to ExpectedTestResult to get rid of a pytest warning that thinks it is a class that has tests. Pull Request resolved: https://github.com/pytorch/pytorch/pull/94813 Approved by: https://github.com/lezcano, https://github.com/jansel