






'''simple docstring'''

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


UpperCAmelCase__						:Optional[Any]          =			logging.get_logger(__name__)

UpperCAmelCase__						:List[str]          =			{
    """SCUT-DLVCLab/lilt-roberta-en-base""": (
        """https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"""
    ),
}







class 	SCREAMING_SNAKE_CASE	(      __SCREAMING_SNAKE_CASE  ):
       snake_case__    :     Optional[int]   		=			'lilt'




       def __init__(					self      : List[Any]	,    A__      : List[Any]=30522	,    A__      : Tuple=768	,    A__      : List[Any]=12	,    A__      : Optional[int]=12	,    A__      : Any=3072	,    A__      : Dict="gelu"	,    A__      : Any=0.1	,    A__      : Dict=0.1	,    A__      : Tuple=512	,    A__      : int=2	,    A__      : Dict=0.02	,    A__      : str=1e-1_2	,    A__      : Tuple=0	,    A__      : int="absolute"	,    A__      : int=None	,    A__      : Optional[Any]=4	,    A__      : Optional[Any]=1024	,    **A__      : List[Any]	,    ):


            """simple docstring"""







            super().__init__(pad_token_id=_a	,    **_a					)

            __lowerCamelCase						:       Optional[int]				   =				vocab_size
            __lowerCamelCase						:       str				   =				hidden_size
            __lowerCamelCase						:       Any				   =				num_hidden_layers
            __lowerCamelCase						:       Optional[int]				   =				num_attention_heads
            __lowerCamelCase						:       Tuple				   =				hidden_act
            __lowerCamelCase						:       List[str]				   =				intermediate_size
            __lowerCamelCase						:       Any				   =				hidden_dropout_prob
            __lowerCamelCase						:       Union[str, Any]				   =				attention_probs_dropout_prob
            __lowerCamelCase						:       Dict				   =				max_position_embeddings
            __lowerCamelCase						:       Any				   =				type_vocab_size
            __lowerCamelCase						:       Any				   =				initializer_range
            __lowerCamelCase						:       int				   =				layer_norm_eps
            __lowerCamelCase						:       Dict				   =				position_embedding_type
            __lowerCamelCase						:       int				   =				classifier_dropout
            __lowerCamelCase						:       List[Any]				   =				channel_shrink_ratio
            __lowerCamelCase						:       Tuple				   =				max_ad_position_embeddings











'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def     __lowercase  ()   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       Any				   =				HfArgumentParser(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     __lowerCamelCase						:       Dict				   =				TensorFlowBenchmark(args=_lowercase     )
     try:
          __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          __lowerCamelCase						:       Tuple				   =				"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
          __lowerCamelCase						:       List[Any]				   =				""" """.join(str(_lowercase     ).split(""" """     )[:-1]     )
          __lowerCamelCase						:       Tuple				   =				""""""
          __lowerCamelCase						:       List[str]				   =				eval(str(_lowercase     ).split(""" """     )[-1]     )
          __lowerCamelCase						:       Tuple				   =				[]
          for arg in depreciated_args:
               # arg[2:] removes '--'
               if arg[2:] in TensorFlowBenchmark.deprecated_args:
                    # arg[5:] removes '--no_'
                    full_error_msg += arg_error_msg.format(arg[5:]     )
               else:
                    wrong_args.append(_lowercase     )
          if len(_lowercase     ) > 0:
               __lowerCamelCase						:       Tuple				   =				full_error_msg + begin_error_msg + str(_lowercase     )
          raise ValueError(_lowercase     )
     benchmark.run()


if __name__ == "__main__":
   main()



