# 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()