# Copyright (c) OpenMMLab. All rights reserved.

import argparse

import os

import platform

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)

    if platform.system() == 'Windows':

        sha = subprocess.check_output(

            ['certutil', '-hashfile', out_file, 'SHA256'])

        sha = str(sha).split('\\r\\n')[1]

    else:

        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'

    os.rename(out_file, final_file)

def main():

    args = parse_args()

    process_checkpoint(args.in_file, args.out_file)

if __name__ == '__main__':

    main()