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Merged
LiYuRio merged 1 commit into from
Feb 13, 2023
Merged

solve comm problem #2

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7 changes: 6 additions & 1 deletion python/paddle/distributed/auto_parallel/parallelizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -502,8 +502,13 @@ def parallelize(
# instantiate communication by process_mapping.
all_process_groups = get_all_process_groups()
for process_group in all_process_groups:
if len(_g_process_group_map) > 0:
tmp = paddle.to_tensor([1], dtype="int32")
paddle.distributed.all_reduce(tmp, sync_op=True, group=_g_process_group_map[0])
paddle.device.cuda.synchronize()

if rank not in process_group.ranks:
continue
continue
process_group.instantiate()

# Copy distributed info to the default context
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8 changes: 7 additions & 1 deletion python/paddle/distributed/auto_parallel/process_group.py
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Original file line number Diff line number Diff line change
Expand Up @@ -161,8 +161,14 @@ def instantiate(self):
)
paddle.distributed.all_reduce(tmp, sync_op=True, group=self)
paddle.distributed.wait(tmp, group=self)

# TODO(shenliang03) AlltoAll create communicator
alltoall_tmp = paddle.empty(shape=[self.nranks, self.nranks], dtype="int32")
out = paddle._legacy_C_ops.alltoall(alltoall_tmp,
'use_calc_stream', True,
'ring_id', ring_id)
paddle.device.cuda.synchronize()
paddle.enable_static()

self._is_instantiate = True

def is_member(self):
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