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hao-ai-lab-FastVideo/fastvideo/models/stepvideo/parallel.py
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Python

import torch
from fastvideo.utils.communications import all_gather
from fastvideo.utils.parallel_states import nccl_info
def parallel_forward(fn_):
def wrapTheFunction(_, hidden_states, *args, **kwargs):
if kwargs['parallel']:
hidden_states = torch.chunk(hidden_states, nccl_info.sp_size, dim=-2)[nccl_info.rank_within_group]
kwargs['attn_mask'] = torch.chunk(kwargs['attn_mask'], nccl_info.sp_size,
dim=-2)[nccl_info.rank_within_group]
output = fn_(_, hidden_states, *args, **kwargs)
if kwargs['parallel']:
output = all_gather(output.contiguous(), dim=-2)
return output
return wrapTheFunction