compiled model state_dict() workaround #639
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Pytorch 2.0 adds '_orig_mod.' prefix to keys of state_dict() of compiled models. For compatibility, we save state_dict() of the original model, which shares the weights without the prefix.
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Pytorch 2.0 adds
_orig_mod.prefix to keys of state_dict() of compiled models. For compatibility, we save state_dict() of the original model, which shares the weights without the prefix.I have verified this workaround by resuming model training from a checkpoint created after a few epochs of compiled model training. The behaviors are within the expected randomness from the original trajectory. See also PyTorch forum topic "How to save/load a model with torch.compile".