32 lines
856 B
Python
32 lines
856 B
Python
import argparse
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from pathlib import Path
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from transformers import PreTrainedModel
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from lit_module import LitModule
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def parse_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--version",
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type=int,
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help="Pytorch lightning checkpoint of version to export",
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required=True,
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)
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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args = parse_args()
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lightning_logs_dir_path = Path("lightning_logs").joinpath(f"version_{args.version}")
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exports_dir_path = Path("exports").joinpath(f"version_{args.version}")
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checkpoint_file_path = next(lightning_logs_dir_path.glob("checkpoints/*.ckpt"))
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lit_module = LitModule.load_from_checkpoint(checkpoint_file_path)
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model: PreTrainedModel = lit_module.__core_module__
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model.save_pretrained(exports_dir_path)
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