mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 05:10:06 +06:00
1c8c2d9ab3
* move old s2s scripts to legacy * add the tests back * proper rename * restore * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Stas Bekman <stas@stason.org> Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
37 lines
1.4 KiB
Python
Executable File
37 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python
|
|
# Copyright 2020 The HuggingFace Team. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
from typing import Union
|
|
|
|
import fire
|
|
import torch
|
|
from tqdm import tqdm
|
|
|
|
|
|
def convert(src_path: str, map_location: str = "cpu", save_path: Union[str, None] = None) -> None:
|
|
"""Convert a pytorch_model.bin or model.pt file to torch.float16 for faster downloads, less disk space."""
|
|
state_dict = torch.load(src_path, map_location=map_location)
|
|
for k, v in tqdm(state_dict.items()):
|
|
if not isinstance(v, torch.Tensor):
|
|
raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin")
|
|
state_dict[k] = v.half()
|
|
if save_path is None: # overwrite src_path
|
|
save_path = src_path
|
|
torch.save(state_dict, save_path)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
fire.Fire(convert)
|