`torchxla_trace_once ` and `aot_torchxla_trivial ` should be removed.
In our internal(hopefully dashboard can be open source soon) torchbench daily runs, `openxla` backend has much higher passing rate and similar perfomrance as the `openxla_eval`(non-aot-auto-grad backend). We still use `openxla_eval` in llama2 example but I think we should move user to `openxla` backend going forward.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/122128
Approved by: https://github.com/alanwaketan, https://github.com/jansel
The original motivation for MYPYINDUCTOR was a faster type checking configuration that only checked a subset of files. With the removal of `follow_imports = ignore`, we are now able to use dmypy to do fast incremental typechecking, eliminating the need for this.
Perhaps erroneously, when I tee'ed up this PR I elected to delete the `follow_imports = skip` designations in the mypy-inductor.ini. This lead to a number of extra type error suppressions that I manually edited. You will need to review.
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/118432
Approved by: https://github.com/Skylion007
ghstack dependencies: #118414, #118418
Did some easy fixes from enabling TRY200. Most of these seem like oversights instead of intentional. The proper way to silence intentional errors is with `from None` to note that you thought about whether it should contain the cause and decided against it.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/111496
Approved by: https://github.com/malfet
