Error(s) in loading state_dict for DataParallel:

This error occurs when trying to load the state_dict of a model trained using DataParallel in PyTorch. The error message may contain more specific information about the issue, but generally it indicates that the state_dict cannot be loaded because it was saved using DataParallel and the current model is not using DataParallel.

To resolve this error, you can either modify your model to use DataParallel when loading the state_dict, or modify the state_dict to remove references to DataParallel.

To modify your model to use DataParallel when loading the state_dict, you can wrap your model in DataParallel before loading the state_dict, like so:

model = nn.DataParallel(model)
model.load_state_dict(state_dict)

If you want to modify the state_dict to remove references to DataParallel, you can use the following code:

state_dict = {k.replace('module.', ''): v for k, v in state_dict.items()}
model.load_state_dict(state_dict)

This code removes the 'module.' prefix from the keys in the state_dict, which is added automatically by DataParallel.