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b334822163
* [zero] polish sharded param name * polish code * polish * polish code * polish * polsih * polish
20 lines
810 B
Python
20 lines
810 B
Python
import torch
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from colossalai.zero.sharded_model import ShardedModelV2
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import copy
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def col_model_deepcopy(sharded_model: ShardedModelV2, other_model: torch.nn.Module):
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"""
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copy param of the ShardedModelV2 to other_model.
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Note the other_model has to be the same as self.
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"""
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for zero_param, param in zip(sharded_model.parameters(), other_model.parameters()):
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assert hasattr(zero_param, 'col_attr')
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shard_flag = zero_param.col_attr.sharded_data_tensor.is_sharded
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if shard_flag:
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sharded_model.shard_strategy.gather([zero_param.col_attr.sharded_data_tensor])
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param.data = copy.deepcopy(zero_param.col_attr.sharded_data_tensor.payload)
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if shard_flag:
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sharded_model.shard_strategy.shard([zero_param.col_attr.sharded_data_tensor])
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