33 lines
1000 B
Python
33 lines
1000 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import torch
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def parse_args():
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parser = argparse.ArgumentParser(
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description='This script extracts backbone weights from a checkpoint')
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parser.add_argument('checkpoint', type=str, help='checkpoint file')
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parser.add_argument('output', type=str, help='destination file name')
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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assert args.output.endswith('.pth')
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ck = torch.load(args.checkpoint, map_location=torch.device('cpu'))
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output_dict = dict(state_dict=dict(), author='MMSelfSup')
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has_backbone = False
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for key, value in ck['state_dict'].items():
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if key.startswith('backbone'):
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output_dict['state_dict'][key[9:]] = value
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has_backbone = True
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if not has_backbone:
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raise Exception('Cannot find a backbone module in the checkpoint.')
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torch.save(output_dict, args.output)
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if __name__ == '__main__':
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main()
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