

'''simple docstring'''





from typing import Union

import fire
import torch
from tqdm import tqdm






def 				_lowerCAmelCase			(   __magic_name__						:     str   , __magic_name__						:     str = "cpu"   , __magic_name__						:     Union[str, None] = None						)				->  None:
						lowercase :							Dict    		=torch.load(__magic_name__   , map_location=__magic_name__						)
						for k, v in tqdm(state_dict.items()						):
												if not isinstance(__magic_name__   , torch.Tensor						):
																		raise TypeError('''FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'''						)
												lowercase :							List[str]    		=v.half()
						if save_path is None:  # overwrite src_path
												lowercase :							Union[str, Any]    		=src_path
						torch.save(__magic_name__   , __magic_name__						)


if __name__ == "__main__":
							fire.Fire(convert)












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


A       :   Dict					= {'''processing_layoutxlm''': ['''LayoutXLMProcessor''']}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A       :   Dict					= ['''LayoutXLMTokenizer''']

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A       :   Dict					= ['''LayoutXLMTokenizerFast''']

if TYPE_CHECKING:
					from .processing_layoutxlm import LayoutXLMProcessor

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_layoutxlm import LayoutXLMTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
					import sys

					A       :   int					= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



