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[gemini] fixes for benchmarking (#5847)

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* [gemini] fix missing return

* [gemini] fix missing arg pass

* [gemini] use gather tensor instead of list

* [test] enable flash attention for benchmark by default

* [test] enable flash attention for benchmark by default

---------

Co-authored-by: genghaozhe <939857490@qq.com>
This commit is contained in:
botbw
2024-06-26 15:52:09 +08:00
committed by GitHub
parent 2a25a2aff7
commit 8e718a1421
5 changed files with 27 additions and 15 deletions
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12
colossalai/zero/gemini/chunk/chunk.py
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@@ -403,9 +403,9 @@ class Chunk:
self.shard_size, dtype=self.dtype, device=get_accelerator().get_current_device()
)
input_list = list(torch.chunk(self.cuda_global_chunk, chunks=self.pg_size, dim=0))
self.grad_reduce_work = dist.reduce_scatter(
self.cuda_shard, input_list, group=self.torch_pg, async_op=async_op
assert self.cuda_global_chunk.is_contiguous()
self.grad_reduce_work = dist.reduce_scatter_tensor(
self.cuda_shard, self.cuda_global_chunk, group=self.torch_pg, async_op=async_op
)
if self.extra_dp_group is not None:
@@ -520,8 +520,10 @@ class Chunk:
assert self.cuda_shard is not None
alloc_storage(self.cuda_global_chunk)
gather_list = list(torch.chunk(input=self.cuda_global_chunk, chunks=self.pg_size, dim=0))
work = dist.all_gather(gather_list, self.cuda_shard, self.torch_pg, async_op=async_op)
assert self.cuda_global_chunk.is_contiguous()
work = dist.all_gather_into_tensor(
self.cuda_global_chunk, self.cuda_shard, self.torch_pg, async_op=async_op
)
self.cuda_shard = None
self.is_gathered = True