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26 lines
645 B
26 lines
645 B
2 years ago
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import torch.nn as nn
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class ModelWrapper(nn.Module):
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"""
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A wrapper class to define the common interface used by booster.
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Args:
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module (nn.Module): The model to be wrapped.
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"""
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def __init__(self, module: nn.Module) -> None:
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super().__init__()
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self.module = module
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def unwrap(self):
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"""
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Unwrap the model to return the original model for checkpoint saving/loading.
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"""
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if isinstance(self.module, ModelWrapper):
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return self.module.unwrap()
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return self.module
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def forward(self, *args, **kwargs):
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return self.module(*args, **kwargs)
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