
"""simple docstring"""





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def  lowerCamelCase__						(     )				->						Dict:


					"""simple docstring"""





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


if __name__ == "__main__":
				main()










'''simple docstring'''
import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class   lowercase      (				unittest.TestCase   ):

		"""simple docstring"""

		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :Any				   =					inspect.getfile(accelerate.test_utils				)
							UpperCamelCase__  :Any				   =					os.path.sep.join(
							    mod_file.split(os.path.sep				)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']				)

							from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

							UpperCamelCase__  :List[str]				   =					test_metrics




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main       ,  num_processes=1				)




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main				)




		@require_single_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							self.test_metrics.main()




		@require_multi_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							print(F'''Found {torch.cuda.device_count()} devices.'''				)
							UpperCamelCase__  :Optional[Any]				   =					['''torchrun''', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
							with patch_environment(omp_num_threads=1				):
												execute_subprocess_async(UpperCamelCase_       ,  env=os.environ.copy()				)