| import torch | |
| if __name__ == '__main__': | |
| model_path = "saved_model/19/model.pth" | |
| output_path = "saved_model/19/model1.pth" | |
| checkpoint_dict = torch.load(model_path, map_location='cpu') | |
| checkpoint_dict_new = {} | |
| for k, v in checkpoint_dict.items(): | |
| if k == "optimizer": | |
| print("remove optimizer") | |
| continue | |
| checkpoint_dict_new[k] = v | |
| torch.save(checkpoint_dict_new, output_path) | |