





from ...configuration_utils import PretrainedConfig
from ...utils import logging


a__			:    Optional[int]			      =		logging.get_logger(__name__)

a__			:    Optional[Any]			      =		{
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}





class UpperCAmelCase_							(   _SCREAMING_SNAKE_CASE   ):
  __lowerCAmelCase      :	List[Any]  	=      """qdqbert"""


  def __init__(       self   ,__snake_case=3_0_5_2_2   ,__snake_case=7_6_8   ,__snake_case=1_2   ,__snake_case=1_2   ,__snake_case=3_0_7_2   ,__snake_case="gelu"   ,__snake_case=0.1   ,__snake_case=0.1   ,__snake_case=5_1_2   ,__snake_case=2   ,__snake_case=0.02   ,__snake_case=1E-12   ,__snake_case=True   ,__snake_case=1   ,__snake_case=0   ,__snake_case=2   ,**__snake_case   ,):



       """simple docstring"""





       super().__init__(pad_token_id=__snake_case   ,bos_token_id=__snake_case   ,eos_token_id=__snake_case   ,**__snake_case   )

       A_					      =					vocab_size
       A_					      =					max_position_embeddings
       A_					      =					hidden_size
       A_					      =					num_hidden_layers
       A_					      =					num_attention_heads
       A_					      =					intermediate_size
       A_					      =					hidden_act
       A_					      =					hidden_dropout_prob
       A_					      =					attention_probs_dropout_prob
       A_					      =					initializer_range
       A_					      =					type_vocab_size
       A_					      =					layer_norm_eps
       A_					      =					use_cache










from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments

def     UpperCAmelCase_						(						)  ->							Optional[int]:
     '''simple docstring'''


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

     A_					      =					PyTorchBenchmark(args=_UpperCAmelCase							)
     benchmark.run()


if __name__ == "__main__":
      main()



