mirror of https://github.com/hpcaitech/ColossalAI
[NFC] polish colossalai/communication/collective.py (#1262)
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@ -10,10 +10,7 @@ from colossalai.context import ParallelMode
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from colossalai.core import global_context as gpc
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def all_gather(tensor: Tensor,
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dim: int,
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parallel_mode: ParallelMode,
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async_op: bool = False) -> Tensor:
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def all_gather(tensor: Tensor, dim: int, parallel_mode: ParallelMode, async_op: bool = False) -> Tensor:
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r"""Gathers all tensors from the parallel group and concatenates them in a
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specific dimension.
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@ -163,11 +160,7 @@ def broadcast(tensor: Tensor, src: int, parallel_mode: ParallelMode, async_op: b
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return out
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def reduce(tensor: Tensor,
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dst: int,
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parallel_mode: ParallelMode,
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op: ReduceOp = ReduceOp.SUM,
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async_op: bool = False):
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def reduce(tensor: Tensor, dst: int, parallel_mode: ParallelMode, op: ReduceOp = ReduceOp.SUM, async_op: bool = False):
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r"""Reduce tensors across whole parallel group. Only the process with
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rank ``dst`` is going to receive the final result.
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