

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def    __UpperCAmelCase (	)			->     str:

					"""simple docstring"""

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


if __name__ == "__main__":
			main()






from diffusers.utils.testing_utils import require_onnxruntime

@require_onnxruntime
class 				UpperCAmelCase_		:
							"""simple docstring"""







							pass



