mmselfsup/tools/publish_model.py

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2020-06-16 00:05:18 +08:00
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')
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, in_file + ".tmp.pth")
sha = subprocess.check_output(['sha256sum', out_file]).decode()
final_file = out_file.rstrip('.pth') + f'-{sha[:8]}.pth'
subprocess.Popen(['mv', in_file + ".tmp.pth", final_file])
def main():
args = parse_args()
process_checkpoint(args.in_file, args.in_file)
if __name__ == '__main__':
main()