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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import subprocess
from hashlib import sha256
import torch
BLOCK_SIZE = 128 * 1024
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 sha256sum(filename: str) -> str:
"""Compute SHA256 message digest from a file."""
hash_func = sha256()
byte_array = bytearray(BLOCK_SIZE)
memory_view = memoryview(byte_array)
with open(filename, 'rb', buffering=0) as file:
for block in iter(lambda: file.readinto(memory_view), 0):
hash_func.update(memory_view[:block])
return hash_func.hexdigest()
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 = sha256sum(in_file)
final_file = out_file.rstrip('.pth') + 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()
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