35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
import torch
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import argparse
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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', help='checkpoint file')
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parser.add_argument(
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'--save-path', type=str, default=None, 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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if args.save_path is None:
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args.save_path = args.checkpoint[:-4] + "_extracted.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="OpenSelfSup")
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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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#elif key.startswith('encoder_q.0'):
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# output_dict['state_dict'][key[12:]] = value
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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.save_path)
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if __name__ == '__main__':
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main()
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