51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import subprocess
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from hashlib import sha256
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import torch
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BLOCK_SIZE = 128 * 1024
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def parse_args():
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parser = argparse.ArgumentParser(
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description='Process a checkpoint to be published')
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parser.add_argument('in_file', help='input checkpoint filename')
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parser.add_argument('out_file', help='output checkpoint filename')
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args = parser.parse_args()
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return args
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def sha256sum(filename: str) -> str:
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"""Compute SHA256 message digest from a file."""
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hash_func = sha256()
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byte_array = bytearray(BLOCK_SIZE)
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memory_view = memoryview(byte_array)
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with open(filename, 'rb', buffering=0) as file:
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for block in iter(lambda: file.readinto(memory_view), 0):
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hash_func.update(memory_view[:block])
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return hash_func.hexdigest()
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def process_checkpoint(in_file, out_file):
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checkpoint = torch.load(in_file, map_location='cpu')
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# remove optimizer for smaller file size
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if 'optimizer' in checkpoint:
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del checkpoint['optimizer']
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# if it is necessary to remove some sensitive data in checkpoint['meta'],
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# add the code here.
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torch.save(checkpoint, out_file)
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sha = sha256sum(in_file)
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final_file = out_file.rstrip('.pth') + f'-{sha[:8]}.pth'
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subprocess.Popen(['mv', out_file, final_file])
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def main():
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args = parse_args()
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process_checkpoint(args.in_file, args.out_file)
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if __name__ == '__main__':
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main()
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