




'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def 		__magic_name__    (	)		->					List[Any]:

					'''simple docstring'''

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


if __name__ == "__main__":
							main()





'''simple docstring'''
from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 			a      (			__a   )  ->	int:



					'''simple docstring'''






					for param in module.parameters():
										UpperCamelCase__   :Dict												= False


def 			a      (			)  ->	Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= '''cuda''' if torch.cuda.is_available() else '''cpu'''
					if torch.backends.mps.is_available() and torch.backends.mps.is_built():
										UpperCamelCase__   :Optional[int]												= '''mps'''
					if device == "mps":
										print(
										    '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
										    ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
										    ''' with generations.'''   )
					return device


def 			a      (			__a   )  ->	Any:



					'''simple docstring'''






					UpperCamelCase__   :Dict												= plt.imshow(__a   )
					fig.axes.get_xaxis().set_visible(__a   )
					fig.axes.get_yaxis().set_visible(__a   )
					plt.show()







def 			a      (			)  ->	str:



					'''simple docstring'''






					UpperCamelCase__   :int												= datetime.now()
					UpperCamelCase__   :str												= current_time.strftime('''%H:%M:%S'''   )
					return timestamp