






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


__A					=	logging.get_logger(__name__)

__A					=	{
    "facebook/vit-mae-base": "https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Tuple				= 'vit_mae'



    def __init__(				self      :     str ,     __SCREAMING_SNAKE_CASE      :     List[Any]=768 ,     __SCREAMING_SNAKE_CASE      :     Dict=12 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=12 ,     __SCREAMING_SNAKE_CASE      :     int=3072 ,     __SCREAMING_SNAKE_CASE      :     List[str]="gelu" ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=0.0 ,     __SCREAMING_SNAKE_CASE      :     Dict=0.0 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=0.02 ,     __SCREAMING_SNAKE_CASE      :     List[str]=1e-12 ,     __SCREAMING_SNAKE_CASE      :     Any=224 ,     __SCREAMING_SNAKE_CASE      :     str=16 ,     __SCREAMING_SNAKE_CASE      :     Tuple=3 ,     __SCREAMING_SNAKE_CASE      :     str=True ,     __SCREAMING_SNAKE_CASE      :     List[str]=16 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=512 ,     __SCREAMING_SNAKE_CASE      :     Dict=8 ,     __SCREAMING_SNAKE_CASE      :     Dict=2048 ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=0.75 ,     __SCREAMING_SNAKE_CASE      :     Any=False ,     **__SCREAMING_SNAKE_CASE      :     Optional[Any] ,     )      ->							Optional[Any]:
           super().__init__(**__SCREAMING_SNAKE_CASE      )

           __UpperCAmelCase     				=hidden_size
           __UpperCAmelCase     				=num_hidden_layers
           __UpperCAmelCase     				=num_attention_heads
           __UpperCAmelCase     				=intermediate_size
           __UpperCAmelCase     				=hidden_act
           __UpperCAmelCase     				=hidden_dropout_prob
           __UpperCAmelCase     				=attention_probs_dropout_prob
           __UpperCAmelCase     				=initializer_range
           __UpperCAmelCase     				=layer_norm_eps
           __UpperCAmelCase     				=image_size
           __UpperCAmelCase     				=patch_size
           __UpperCAmelCase     				=num_channels
           __UpperCAmelCase     				=qkv_bias
           __UpperCAmelCase     				=decoder_num_attention_heads
           __UpperCAmelCase     				=decoder_hidden_size
           __UpperCAmelCase     				=decoder_num_hidden_layers
           __UpperCAmelCase     				=decoder_intermediate_size
           __UpperCAmelCase     				=mask_ratio
           __UpperCAmelCase     				=norm_pix_loss








"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments

def 				_snake_case      (   ):




   """simple docstring"""







   _lowerCamelCase	:					Any   =		HfArgumentParser(__snake_case   )
   _lowerCamelCase	:					int   =		parser.parse_args_into_dataclasses()[0]
   _lowerCamelCase	:					Dict   =		TensorFlowBenchmark(args=__snake_case   )
   try:
      _lowerCamelCase	:					Optional[int]   =		parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      _lowerCamelCase	:					Union[str, Any]   =		"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
      _lowerCamelCase	:					List[str]   =		""" """.join(str(__snake_case   ).split(""" """   )[:-1]   )
      _lowerCamelCase	:					Dict   =		""""""
      _lowerCamelCase	:					List[Any]   =		eval(str(__snake_case   ).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(__snake_case   )
      if len(__snake_case   ) > 0:
         _lowerCamelCase	:					Tuple   =		full_error_msg + begin_error_msg + str(__snake_case   )
      raise ValueError(__snake_case   )
   benchmark.run()


if __name__ == "__main__":
 main()

