37 lines
1.4 KiB
Python
Executable File
37 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Union
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import fire
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import torch
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from tqdm import tqdm
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def convert(src_path: str, map_location: str = "cpu", save_path: Union[str, None] = None) -> None:
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"""Convert a pytorch_model.bin or model.pt file to torch.float16 for faster downloads, less disk space."""
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state_dict = torch.load(src_path, map_location=map_location)
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for k, v in tqdm(state_dict.items()):
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if not isinstance(v, torch.Tensor):
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raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin")
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state_dict[k] = v.half()
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if save_path is None: # overwrite src_path
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save_path = src_path
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torch.save(state_dict, save_path)
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if __name__ == "__main__":
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fire.Fire(convert)
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