GitLab

[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark (#5017)

* Use p2p

* Cannot bidirectonal send p2p

* Refactor tensor creation and serialization in P2P
communication

* Fix llama forward args in flash attention

* Add flop estimate from megatron

* Support loading weight not in weight_map when strict=False in hybrid_parallel

* Use send_forward_recv_backward, etc in 1f1b

* Use dataclass for metdata
Remove torch.cuda.synchronize() as suggested

* Add comment about the torch.cuda.synchronize for potential error

* Typo

* Update hybrid_parallel_checkpoint_io.py

* Update p2p.py

* Update one_f_one_b.py

* Update p2p.py

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Co-authored-by: flybird11111 <1829166702@qq.com>