mirror of
https://github.com/finegrain-ai/refiners.git
synced 2024-11-23 22:58:45 +00:00
10dfa73a09
Co-authored-by: Pierre Colle <piercus@gmail.com>
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
import argparse
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from pathlib import Path
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from refiners.fluxion.utils import load_tensors, save_to_safetensors
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from refiners.foundationals.swin.mvanet.converter import convert_weights
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--from",
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type=str,
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required=True,
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dest="source_path",
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help="A MVANet checkpoint. One can be found at https://github.com/qianyu-dlut/MVANet",
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)
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parser.add_argument(
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"--to",
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type=str,
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dest="output_path",
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default=None,
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help=(
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"Path to save the converted model. If not specified, the output path will be the source path with the"
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" extension changed to .safetensors."
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),
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)
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parser.add_argument("--half", action="store_true", dest="half")
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args = parser.parse_args()
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src_weights = load_tensors(args.source_path)
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weights = convert_weights(src_weights)
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if args.half:
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weights = {key: value.half() for key, value in weights.items()}
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if args.output_path is None:
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args.output_path = f"{Path(args.source_path).stem}.safetensors"
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save_to_safetensors(path=args.output_path, tensors=weights)
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if __name__ == "__main__":
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main()
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