

"""simple docstring"""




from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments

def 	A       (     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      HfArgumentParser(snake_case__    )
			SCREAMING_SNAKE_CASE__								=      parser.parse_args_into_dataclasses()[0]
			SCREAMING_SNAKE_CASE__								=      TensorFlowBenchmark(args=snake_case__    )
			try:
						SCREAMING_SNAKE_CASE__								=      parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						SCREAMING_SNAKE_CASE__								=      """Arg --no_{0} is no longer used, please use --no-{0} instead."""
						SCREAMING_SNAKE_CASE__								=      """ """.join(str(snake_case__    ).split(""" """    )[:-1]    )
						SCREAMING_SNAKE_CASE__								=      """"""
						SCREAMING_SNAKE_CASE__								=      eval(str(snake_case__    ).split(""" """    )[-1]    )
						SCREAMING_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(snake_case__    )
						if len(snake_case__    ) > 0:
									SCREAMING_SNAKE_CASE__								=      full_error_msg + begin_error_msg + str(snake_case__    )
						raise ValueError(snake_case__    )
			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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A_							:			Dict											= {
    "configuration_efficientnet": [
        "EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EfficientNetConfig",
        "EfficientNetOnnxConfig",
    ]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_							:			List[Any]											= ["EfficientNetImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_							:			Dict											= [
						    "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "EfficientNetForImageClassification",
						    "EfficientNetModel",
						    "EfficientNetPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_efficientnet import (
						    EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    EfficientNetConfig,
						    EfficientNetOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_efficientnet import EfficientNetImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_efficientnet import (
												    EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    EfficientNetForImageClassification,
												    EfficientNetModel,
												    EfficientNetPreTrainedModel,
												)

else:
						import sys

						A_							:			List[Any]											= _LazyModule(__name__, globals()["__file__"], _import_structure)


