mirror of https://github.com/hpcaitech/ColossalAI
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import torch
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from colossalai.legacy.registry import OPHOOKS
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from . import BaseOpHook
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@OPHOOKS.register_module
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class ShardParamHook(BaseOpHook):
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"""
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A hook to process sharded param before and after FWD and BWD operator executing.
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"""
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def __init__(self):
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super().__init__()
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def niter(self):
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return self._niter
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def pre_fwd_exec(self, module: torch.nn.Module, *args):
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for param in module.parameters():
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assert hasattr(param, 'ca_attr')
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param.ca_attr.gather()
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param.data = param.ca_attr.payload()
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def post_fwd_exec(self, module: torch.nn.Module, *args):
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for param in module.parameters():
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assert hasattr(param, 'ca_attr')
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param.ca_attr.shard()
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param.data = param.ca_attr.payload()
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def pre_bwd_exec(self, module: torch.nn.Module, input, output):
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for param in module.parameters():
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assert hasattr(param, 'ca_attr')
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param.ca_attr.gather()
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param.data = param.ca_attr.payload()
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def post_bwd_exec(self, module: torch.nn.Module, input):
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for param in module.parameters():
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assert hasattr(param, 'ca_attr')
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param.ca_attr.shard()
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param.data = param.ca_attr.payload()
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def pre_iter(self):
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pass
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def post_iter(self):
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pass
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