code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
  
  
  
  
  def 			__lowercase	(						)    ->int:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Union[str, Any]					   =		HfArgumentParser(_UpperCamelCase     )
        try:
              lowercase			:   Tuple					   =		parser.parse_args_into_dataclasses()[0]
        except ValueError as e:
              lowercase			:   int					   =		'''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
              lowercase			:   List[Any]					   =		''' '''.join(str(_UpperCamelCase     ).split(''' '''     )[:-1]     )
              lowercase			:   str					   =		''''''
              lowercase			:   Any					   =		eval(str(_UpperCamelCase     ).split(''' '''     )[-1]     )
              lowercase			:   Tuple					   =		[]
              for arg in depreciated_args:
                    # arg[2:] removes '--'
                    if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
                          # arg[5:] removes '--no_'
                          full_error_msg += arg_error_msg.format(arg[5:]     )
                    else:
                          wrong_args.append(_UpperCamelCase     )
              if len(_UpperCamelCase     ) > 0:
                    lowercase			:   List[Any]					   =		full_error_msg + begin_error_msg + str(_UpperCamelCase     )
              raise ValueError(_UpperCamelCase     )
  
        lowercase			:   Union[str, Any]					   =		PyTorchBenchmark(args=_UpperCamelCase     )
        benchmark.run()
  
  
  if __name__ == "__main__":
    main()
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  __a   				=      {'''configuration_yoso''': ['''YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YosoConfig''']}
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''YOSO_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''YosoForMaskedLM''',
        '''YosoForMultipleChoice''',
        '''YosoForQuestionAnswering''',
        '''YosoForSequenceClassification''',
        '''YosoForTokenClassification''',
        '''YosoLayer''',
        '''YosoModel''',
        '''YosoPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_yoso import (
          YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
          YosoForMaskedLM,
          YosoForMultipleChoice,
          YosoForQuestionAnswering,
          YosoForSequenceClassification,
          YosoForTokenClassification,
          YosoLayer,
          YosoModel,
          YosoPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure)
  
  