| # Copyright (c) OpenMMLab. All rights reserved. | |
| import argparse | |
| import subprocess | |
| import torch | |
| 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') | |
| args = parser.parse_args() | |
| return args | |
| def process_checkpoint(in_file, out_file): | |
| checkpoint = torch.load(in_file, map_location='cpu') | |
| # remove optimizer for smaller file size | |
| if 'optimizer' in checkpoint: | |
| del checkpoint['optimizer'] | |
| # if it is necessary to remove some sensitive data in checkpoint['meta'], | |
| # add the code here. | |
| torch.save(checkpoint, out_file) | |
| sha = subprocess.check_output(['sha256sum', out_file]).decode() | |
| final_file = out_file.rstrip('.pth') + '-{}.pth'.format(sha[:8]) | |
| subprocess.Popen(['mv', out_file, final_file]) | |
| def main(): | |
| args = parse_args() | |
| process_checkpoint(args.in_file, args.out_file) | |
| if __name__ == '__main__': | |
| main() | |