[model checkpoint] add gloo groups for cpu tensor communication (#589)

This commit is contained in:
アマデウス
2022-04-01 10:15:52 +08:00
committed by GitHub
parent 54e688b623
commit 297b8baae2
10 changed files with 98 additions and 23 deletions

View File

@@ -20,6 +20,7 @@ class Initializer_Pipeline(ProcessGroupInitializer):
pipeline_parallel_size (int): Size of pipeline parallel
tensor_parallel_size (int): Size of tensor parallel
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.data_group_size = self.world_size // self.data_parallel_size
@@ -36,20 +37,19 @@ class Initializer_Pipeline(ProcessGroupInitializer):
for i in range(self.data_parallel_size):
for j in range(self.pipeline_stage_size):
pipe_ranks = list(
range(i * self.data_group_size + j,
(i + 1) * self.data_group_size,
self.pipeline_stage_size))
range(i * self.data_group_size + j, (i + 1) * self.data_group_size, self.pipeline_stage_size))
pipe_group_size = len(pipe_ranks)
pipe_group = dist.new_group(pipe_ranks)
group_cpu = dist.new_group(pipe_ranks, backend='gloo') if dist.get_backend() != 'gloo' else pipe_group
if self.rank in pipe_ranks:
local_rank = pipe_ranks.index(self.rank)
group_world_size = pipe_group_size
process_group = pipe_group
cpu_group = group_cpu
ranks_in_group = pipe_ranks
dist_settings.append(
tuple((local_rank, group_world_size,
process_group, ranks_in_group,
tuple((local_rank, group_world_size, process_group, cpu_group, ranks_in_group,
ParallelMode.PIPELINE)))
return dist_settings