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https://github.com/hpcaitech/ColossalAI.git
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26b7aac0be
* [zero] refactor low-level zero folder structure * [zero] fix legacy zero import path * [zero] fix legacy zero import path * [zero] remove useless import * [zero] refactor gemini folder structure * [zero] refactor gemini folder structure * [zero] refactor legacy zero import path * [zero] refactor gemini folder structure * [zero] refactor gemini folder structure * [zero] refactor gemini folder structure * [zero] refactor legacy zero import path * [zero] fix test import path * [zero] fix test * [zero] fix circular import * [zero] update import
21 lines
808 B
Python
21 lines
808 B
Python
import copy
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import torch
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from colossalai.zero.legacy.sharded_model import ShardedModelV2
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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, 'colo_attr')
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shard_flag = zero_param.colo_attr.sharded_data_tensor.is_sharded
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if shard_flag:
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sharded_model.shard_strategy.gather([zero_param.colo_attr.sharded_data_tensor])
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param.data = copy.deepcopy(zero_param.colo_attr.data_payload)
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if shard_flag:
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sharded_model.shard_strategy.shard([zero_param.colo_attr.sharded_data_tensor])
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