Amandeep Chhabra e15848669f [1/n]adding torch.distributed.run option to provide destination for event logging (#154644) (#155268) ... Summary: **Problem Statement** Currently, torch distributed elastic does not support to an option specify destination for event logging from torch.distributed.run. *recording events to default destination:* https://fburl.com/code/7f9b0993 The default destination is "null". ***Solution*** adding option in torch.destributed.run to specify event_logging_destination. The default value will be "null" which is current default so it won;t affect users unless the specify it via command line. Test Plan: https://www.internalfb.com/mlhub/pipelines/runs/mast/f738408681-TrainingApplication_torch_distributed_run_3?job_attempt=0&version=0&tab=execution_details&env=PRODUCTION Rollback Plan: Reviewed By: kiukchung Differential Revision: D75183591 Pull Request resolved: https://github.com/pytorch/pytorch/pull/155268 Approved by: https://github.com/d4l3k		2025-06-09 10:43:52 +00:00
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agent	[1/n]adding torch.distributed.run option to provide destination for event logging (#154644) (#155268)	2025-06-09 10:43:52 +00:00
events	[BE][PYFMT] migrate PYFMT for torch.{distributed,distributions} to ruff format (#144547)	2025-02-28 07:35:56 +00:00
metrics	[BE][PYFMT] migrate PYFMT for torch.{distributed,distributions} to ruff format (#144547)	2025-02-28 07:35:56 +00:00
multiprocessing	Revert "[BE]: Enable RUFF TRY400 rule - log.exception (#153473)"	2025-05-16 08:29:26 +00:00
rendezvous	Expose the rendezvous keepalive arguments (#145228)	2025-03-03 19:11:56 +00:00
timer	Propagate callable parameter types using ParamSpec (#142306) (#151014)	2025-04-13 20:38:11 +00:00
utils	remove allow-untyped-defs from torch/distributed/elastic/utils/logging.py (#154625)	2025-05-30 07:37:56 +00:00
__init__.py
control_plane.py	Propagate callable parameter types using ParamSpec (#142306) (#151014)	2025-04-13 20:38:11 +00:00