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| # Copyright (c) OpenMMLab. All rights reserved. | |
| import argparse | |
| import subprocess | |
| import torch | |
| from mmengine.logging import print_log | |
| def parse_args(): | |
| parser = argparse.ArgumentParser( | |
| description='Process a checkpoint to be published') | |
| parser.add_argument('in_file', help='input checkpoint filename') | |
| parser.add_argument('out_file', help='output checkpoint filename') | |
| parser.add_argument( | |
| '--save-keys', | |
| nargs='+', | |
| type=str, | |
| default=['meta', 'state_dict'], | |
| help='keys to save in the published checkpoint') | |
| args = parser.parse_args() | |
| return args | |
| def process_checkpoint(in_file, out_file, save_keys=['meta', 'state_dict']): | |
| checkpoint = torch.load(in_file, map_location='cpu') | |
| # only keep `meta` and `state_dict` for smaller file size | |
| ckpt_keys = list(checkpoint.keys()) | |
| for k in ckpt_keys: | |
| if k not in save_keys: | |
| print_log( | |
| f'Key `{k}` will be removed because it is not in ' | |
| f'save_keys. If you want to keep it, ' | |
| f'please set --save-keys.', | |
| logger='current') | |
| checkpoint.pop(k, None) | |
| # if it is necessary to remove some sensitive data in checkpoint['meta'], | |
| # add the code here. | |
| if torch.__version__ >= '1.6': | |
| torch.save(checkpoint, out_file, _use_new_zipfile_serialization=False) | |
| else: | |
| torch.save(checkpoint, out_file) | |
| sha = subprocess.check_output(['sha256sum', out_file]).decode() | |
| final_file = out_file.rstrip('.pth') + f'-{sha[:8]}.pth' | |
| subprocess.Popen(['mv', out_file, final_file]) | |
| print_log( | |
| f'The published model is saved at {final_file}.', logger='current') | |
| def main(): | |
| args = parse_args() | |
| process_checkpoint(args.in_file, args.out_file, args.save_keys) | |
| if __name__ == '__main__': | |
| main() | |