




from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					HfArgumentParser(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 PyTorchBenchmarkArguments.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_						)

						_UpperCAmelCase													=					PyTorchBenchmark(args=snake_case_						)
						benchmark.run()


if __name__ == "__main__":
				main()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase_     :    int      =			{
    'configuration_videomae': ['VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VideoMAEConfig'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_     :    List[str]      =			[
				    'VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'VideoMAEForPreTraining',
				    'VideoMAEModel',
				    'VideoMAEPreTrainedModel',
				    'VideoMAEForVideoClassification',
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_     :    Any      =			['VideoMAEFeatureExtractor']
				lowercase_     :    Dict      =			['VideoMAEImageProcessor']

if TYPE_CHECKING:
				from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_videomae import (
								    VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
								    VideoMAEForPreTraining,
								    VideoMAEForVideoClassification,
								    VideoMAEModel,
								    VideoMAEPreTrainedModel,
								)

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_videomae import VideoMAEFeatureExtractor
								from .image_processing_videomae import VideoMAEImageProcessor

else:
				import sys

				lowercase_     :    int      =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




