
"""simple docstring"""





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def 							A_     ():

					'''simple docstring'''





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


if __name__ == "__main__":
		main()






"""simple docstring"""





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase_					:						str				= {'''configuration_timm_backbone''': ['''TimmBackboneConfig''']}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_					:						Union[str, Any]				= ['''TimmBackbone''']


if TYPE_CHECKING:
		from .configuration_timm_backbone import TimmBackboneConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_timm_backbone import TimmBackbone

else:
		import sys

		UpperCamelCase_					:						List[Any]				= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




