new_contents: 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()
  
subject: add a tool to process models to be published