File size: 1,857 Bytes
d670799 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import datetime
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 some unnecessary keys for smaller file size
unnecessary_keys = ['message_hub', 'optimizer', 'param_schedulers']
for k in unnecessary_keys:
if k in checkpoint:
del checkpoint[k]
unnecessary_params = ['data_preprocessor.mean', 'data_preprocessor.std']
for k in unnecessary_params:
if 'state_dict' in checkpoint and k in checkpoint['state_dict']:
del checkpoint['state_dict'][k]
# 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
current_date = datetime.datetime.now().strftime('%Y%m%d')
final_file = out_file_name + f'_{current_date}-{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()
|