|
- # 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.
- 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()
- if out_file.endswith('.pth'):
- out_file_name = out_file[:-4]
- else:
- out_file_name = out_file
- final_file = out_file_name + f'-{sha[:8]}.pth'
- subprocess.Popen(['mv', out_file, final_file])
-
-
- def main():
- args = parse_args()
- process_checkpoint(args.in_file, args.out_file)
-
-
- if __name__ == '__main__':
- main()
|