






from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def        lowerCamelCase__   (					)     ->   List[str]:
  __UpperCAmelCase							:			Dict     =						HfArgumentParser(__lowerCamelCase	)
  try:
    __UpperCAmelCase							:			str     =						parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    __UpperCAmelCase							:			Dict     =						"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
    __UpperCAmelCase							:			Union[str, Any]     =						""" """.join(str(__lowerCamelCase	).split(""" """	)[:-1]	)
    __UpperCAmelCase							:			Optional[Any]     =						""""""
    __UpperCAmelCase							:			str     =						eval(str(__lowerCamelCase	).split(""" """	)[-1]	)
    __UpperCAmelCase							:			List[str]     =						[]
    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(__lowerCamelCase	)
    if len(__lowerCamelCase	) > 0:
      __UpperCAmelCase							:			List[Any]     =						full_error_msg + begin_error_msg + str(__lowerCamelCase	)
    raise ValueError(__lowerCamelCase	)

  __UpperCAmelCase							:			Optional[int]     =						PyTorchBenchmark(args=__lowerCamelCase	)
  benchmark.run()


if __name__ == "__main__":
       main()










from typing import TYPE_CHECKING

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


a	: Optional[int]      =				{
    "configuration_deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: Optional[int]      =				["DeformableDetrFeatureExtractor"]
       a	: List[str]      =				["DeformableDetrImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a	: List[Any]      =				[
           "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DeformableDetrForObjectDetection",
           "DeformableDetrModel",
           "DeformableDetrPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
              from .image_processing_deformable_detr import DeformableDetrImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deformable_detr import (
                  DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DeformableDetrForObjectDetection,
                  DeformableDetrModel,
                  DeformableDetrPreTrainedModel,
              )

else:
       import sys

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


