EasyCV/benchmarks/tools/extract_backbone_weights.py

35 lines
1.0 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import argparse
import torch
from easycv.framework.errors import ValueError
def parse_args():
parser = argparse.ArgumentParser(
description='This script extracts backbone weights from a checkpoint')
parser.add_argument('checkpoint', help='checkpoint file')
parser.add_argument('output', type=str, help='destination file name')
args = parser.parse_args()
return args
def main():
args = parse_args()
assert args.output.endswith('.pth')
ck = torch.load(args.checkpoint, map_location=torch.device('cpu'))
output_dict = dict(state_dict=dict(), author='EasyCV')
has_backbone = False
for key, value in ck['state_dict'].items():
if key.startswith('backbone'):
output_dict['state_dict'][key[9:]] = value
has_backbone = True
if not has_backbone:
raise ValueError('Cannot find a backbone module in the checkpoint.')
torch.save(output_dict, args.output)
if __name__ == '__main__':
main()