


"""simple docstring"""






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


UpperCAmelCase       :	str  		=						logging.get_logger(__name__)

UpperCAmelCase       :	Optional[Any]  		=						{
    "facebook/timesformer": "https://huggingface.co/facebook/timesformer/resolve/main/config.json",
}





class 	lowerCamelCase__  (	__snake_case							):







					"""simple docstring"""


					__a      			=				"""timesformer"""






					def __init__(			self       :					Dict					,			UpperCamelCase       :					Any=224					,			UpperCamelCase       :					int=16					,			UpperCamelCase       :					Union[str, Any]=3					,			UpperCamelCase       :					List[Any]=8					,			UpperCamelCase       :					Optional[int]=768					,			UpperCamelCase       :					Any=12					,			UpperCamelCase       :					int=12					,			UpperCamelCase       :					Any=3_072					,			UpperCamelCase       :					Optional[int]="gelu"					,			UpperCamelCase       :					Tuple=0.0					,			UpperCamelCase       :					Any=0.0					,			UpperCamelCase       :					Any=0.02					,			UpperCamelCase       :					Union[str, Any]=1e-6					,			UpperCamelCase       :					Optional[int]=True					,			UpperCamelCase       :					Optional[Any]="divided_space_time"					,			UpperCamelCase       :					List[str]=0					,			**UpperCamelCase       :					str					,			):
												'''simple docstring'''






												super().__init__(**a__    )

												__UpperCAmelCase  :		Any 				=   image_size
												__UpperCAmelCase  :		Any 				=   patch_size
												__UpperCAmelCase  :		int 				=   num_channels
												__UpperCAmelCase  :		Tuple 				=   num_frames

												__UpperCAmelCase  :		Union[str, Any] 				=   hidden_size
												__UpperCAmelCase  :		Any 				=   num_hidden_layers
												__UpperCAmelCase  :		Optional[int] 				=   num_attention_heads
												__UpperCAmelCase  :		int 				=   intermediate_size
												__UpperCAmelCase  :		Union[str, Any] 				=   hidden_act
												__UpperCAmelCase  :		Optional[Any] 				=   hidden_dropout_prob
												__UpperCAmelCase  :		str 				=   attention_probs_dropout_prob
												__UpperCAmelCase  :		List[Any] 				=   initializer_range
												__UpperCAmelCase  :		int 				=   layer_norm_eps
												__UpperCAmelCase  :		Any 				=   qkv_bias

												__UpperCAmelCase  :		List[Any] 				=   attention_type
												__UpperCAmelCase  :		Union[str, Any] 				=   drop_path_rate




from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments





def 	_lowerCAmelCase					( )			-> str:





	"""simple docstring"""







	A             =					HfArgumentParser(UpperCamelCase__    )
	A             =					parser.parse_args_into_dataclasses()[0]
	A             =					TensorFlowBenchmark(args=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 TensorFlowBenchmark.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__    )
	benchmark.run()


if __name__ == "__main__":
				main()



