mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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17 lines
333 B
17 lines
333 B
1 year ago
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from typing import Optional
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from torch.nn import Module
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__all__ = [
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"get_pretrained_path",
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"set_pretrained_path",
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]
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def get_pretrained_path(model: Module) -> Optional[str]:
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return getattr(model, "_pretrained", None)
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def set_pretrained_path(model: Module, path: str) -> None:
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setattr(model, "_pretrained", path)
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