7 Commits

Author	SHA1	Message	Date
Jez Ng	4667e20b3f	Delete a bunch of type-ignores (#113990) ... * Replaced `ignore[import]` by mypy config file entries * Removed a bunch of ignores around previously-fixed attr-defined / call-arg issues * Fixed some invalid / undefined types; added a few more type-ignores to squelch the downstream errors this exposed Pull Request resolved: https://github.com/pytorch/pytorch/pull/113990 Approved by: https://github.com/eellison, https://github.com/Skylion007 ghstack dependencies: #113979	2023-11-18 02:48:38 +00:00
Aaron Gokaslan	cb856b08b2	[BE]: Attach cause to some exceptions and enable RUFF TRY200 (#111496) ... 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	2023-10-19 21:56:36 +00:00
JackCaoG	08e49fe97a	Make openxla and opexla_eval backend show up in list_backends (#107905) ... The reason to keep the non-aot(openxla_eval) backend is discussed in https://github.com/pytorch/xla/issues/5430#issuecomment-1683191662. Pull Request resolved: https://github.com/pytorch/pytorch/pull/107905 Approved by: https://github.com/jansel	2023-08-25 21:52:17 +00:00
JackCaoG	139437bb84	Make Openxla dynamo backend take boxed input (#107260) ... Fixes https://github.com/pytorch/xla/issues/5454 Also adding the inference(non-aot) backend back since we see a speed regression when using the aot-backend compared to the non-aot openxla backend. It is being tracked in https://github.com/pytorch/xla/issues/5430 Pull Request resolved: https://github.com/pytorch/pytorch/pull/107260 Approved by: https://github.com/shunting314, https://github.com/jansel	2023-08-18 16:58:05 +00:00
JackCaoG	c9eb95cca4	Update XLA dyanmo backend name (#106489) ... This is to deprecate the old XLA dyanmo backend and rename it `openxla`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/106489 Approved by: https://github.com/jansel, https://github.com/shunting314	2023-08-03 20:00:37 +00:00
Jason Ansel	e071d72f3c	Tag dynamo backends as debug/experimental (#93878) ... Hides debug/experimental backends by default. Before: ``` torch._dynamo.list_backends() ['aot_eager', 'aot_eager_decomp_partition', 'aot_torchxla_trace_once', 'aot_torchxla_trivial', 'aot_ts', 'aot_ts_nvfuser', 'cudagraphs', 'dynamo_accuracy_minifier_backend', 'dynamo_minifier_backend', 'eager', 'inductor', 'ipex', 'nvprims_aten', 'nvprims_nvfuser', 'onnxrt', 'tensorrt', 'torchxla_trace_once', 'torchxla_trivial', 'ts', 'tvm'] ``` After: ``` torch._dynamo.list_backends() ['aot_ts_nvfuser', 'cudagraphs', 'inductor', 'ipex', 'nvprims_nvfuser', 'onnxrt', 'tensorrt', 'tvm'] ``` Fixes https://github.com/pytorch/pytorch/issues/93733 Pull Request resolved: https://github.com/pytorch/pytorch/pull/93878 Approved by: https://github.com/voznesenskym	2023-02-04 00:50:51 +00:00
Jason Ansel	60e8c766b5	Refactor dynamo training backends (#93409) ... This splits training.py into many files and moves them from `dynamo.optimizations.training` to `dynamo.backends.*`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/93409 Approved by: https://github.com/ezyang	2023-02-03 03:07:15 +00:00