




"""simple docstring"""







from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments





def     __snake_case   (							):


    """simple docstring"""







    UpperCamelCase										=  HfArgumentParser(_lowercase						)
    try:
        UpperCamelCase										=  parser.parse_args_into_dataclasses()[0]
    except ValueError as e:
        UpperCamelCase										=  '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
        UpperCamelCase										=  ''' '''.join(str(_lowercase						).split(''' '''						)[:-1]						)
        UpperCamelCase										=  ''''''
        UpperCamelCase										=  eval(str(_lowercase						).split(''' '''						)[-1]						)
        UpperCamelCase										=  []
        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(_lowercase						)
        if len(_lowercase						) > 0:
            UpperCamelCase										=  full_error_msg + begin_error_msg + str(_lowercase						)
        raise ValueError(_lowercase						)

    UpperCamelCase										=  PyTorchBenchmark(args=_lowercase						)
    benchmark.run()


if __name__ == "__main__":
  main()





"""simple docstring"""







import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					CustomConfig







   def __init__(		self					,				lowerCamelCase_)							->      List[Any]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.hidden_size					,				config.hidden_size)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Optional[Any]:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      List[str]:
       pass

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					NoSuperInitConfig







   def __init__(		self					,				lowerCamelCase_)							->      Optional[int]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.attribute					,				config.attribute)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      int:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Any:
       pass