
'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def        UpperCAmelCase_ (  ):







 """simple docstring"""


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


if __name__ == "__main__":
     main()







'''simple docstring'''

import warnings
from functools import wraps
from typing import Callable


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 @wraps(lowerCamelCase_			)
 def _inner_fn(*lowerCamelCase_      ,			**lowerCamelCase_			):
  warnings.warn(
      (f'''\'{fn.__name__}\' is experimental and might be subject to breaking changes in the future.''')      ,			lowerCamelCase_      ,			)
  return fn(*lowerCamelCase_      ,			**lowerCamelCase_			)

 return _inner_fn





