mirror of https://github.com/hpcaitech/ColossalAI
28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
from colossalai.core import global_context as gpc
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from colossalai.registry import GRADIENT_HANDLER
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from ...context.parallel_mode import ParallelMode
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from ._base_gradient_handler import BaseGradientHandler
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from .utils import bucket_allreduce
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@GRADIENT_HANDLER.register_module
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class DataParallelGradientHandler(BaseGradientHandler):
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"""A helper class to handle all-reduce operations in a data parallel group.
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A all-reduce collective communication will be operated in
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:func:`handle_gradient` among a data parallel group.
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For better performance, it bucketizes the gradients of all parameters that are
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the same type to improve the efficiency of communication.
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Args:
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model (Module): Model where the gradients accumulate.
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optimizer (Optimizer): Optimizer for updating the parameters.
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"""
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def handle_gradient(self):
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"""A method running a all-reduce operation in a data parallel group.
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"""
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# TODO: add memory buffer
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if gpc.data_parallel_size > 1:
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bucket_allreduce(param_list=self._model.parameters(), group=gpc.get_group(ParallelMode.DATA))
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