When training the model, we need to find out whether there is multi GPU training
If using Python to load the model normally:
model.load_state_dict(torch.load(model_path))
If multi GPU training is used in training
model = torch.nn.DataParallel(model, device_ids=range(opt.ngpu))
If so, loading the model requires
model.load_state_dict({k.replace('module.',''):v for k,v in torch.load(model_path).items()})
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