Gabriel Ferns 254293b777 Add flag _metrics_log_runtime to disable runtime metric logging by default (#153506) ... https://github.com/pytorch/pytorch/pull/152708 expanded support of `get_estimated_runtime` to many more types of `SchedulerNodes`. This caused an increase in compile time because we're always calling `get_estimated_runtime` to populate the metrics table. This PR adds a flag for this logging, which reduces the instruction count by 8%. Long term, we should probably merge metrics.py with TORCH_LOGS/tlparse (suggestion from @xmfan). Update: added support for TORCH_LOGS for the metrics logging. Test Plan: mm_loop.py and many existing tests cover. Pull Request resolved: https://github.com/pytorch/pytorch/pull/153506 Approved by: https://github.com/eellison		2025-05-22 01:02:11 +00:00
..
__init__.py	[draft-export] Include guards for constraint violation errors (#138748)	2024-10-30 00:24:17 +00:00
_internal.py	Add flag _metrics_log_runtime to disable runtime metric logging by default (#153506)	2025-05-22 01:02:11 +00:00
_registrations.py	Add flag _metrics_log_runtime to disable runtime metric logging by default (#153506)	2025-05-22 01:02:11 +00:00
scribe.py	PEP585 update - mostly toplevels (#145178)	2025-01-22 02:21:14 +00:00
structured.py	[tlparse] Add stacktrace filter utility (#146858)	2025-02-13 00:21:34 +00:00