OSSForks/pytorch

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History

Xuehai Pan 995df34b19 [BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 ) Pull Request resolved: https://github.com/pytorch/pytorch/pull/144547 Approved by: https://github.com/kwen2501		2025-02-28 07:35:56 +00:00
..
__init__.py	[pipelining] Add ZBV schedule (#142084 )	2024-12-11 02:00:57 +00:00
_backward.py	[BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 )	2025-02-28 07:35:56 +00:00
_debug.py	remove allow-untyped-defs from torch/distributed/pipelining/_debug.py (#143871 )	2024-12-27 01:20:26 +00:00
_IR.py	[BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 )	2025-02-28 07:35:56 +00:00
_unflatten.py	PEP585 update - torch/distributed (#145164 )	2025-01-21 04:23:29 +00:00
_utils.py	PEP585: More UP006 fixes (#146392 )	2025-02-20 06:18:13 +00:00
microbatch.py	[BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 )	2025-02-28 07:35:56 +00:00
README.md
schedules.py	[BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 )	2025-02-28 07:35:56 +00:00
stage.py	[BE][PYFMT] migrate PYFMT for `torch.{distributed,distributions}` to `ruff format` (#144547 )	2025-02-28 07:35:56 +00:00

README.md

Pipeline Parallelism for PyTorch

torch.distributed.pipelining is a package for implementing pipeline parallelism on your model.

Our documentation is available here.