






'''simple docstring'''

from ..utils import is_flax_available, is_torch_available


if is_torch_available():
   from .autoencoder_kl import AutoencoderKL
   from .controlnet import ControlNetModel
   from .dual_transformer_ad import DualTransformeraDModel
   from .modeling_utils import ModelMixin
   from .prior_transformer import PriorTransformer
   from .ta_film_transformer import TaFilmDecoder
   from .transformer_ad import TransformeraDModel
   from .unet_ad import UNetaDModel
   from .unet_ad import UNetaDModel
   from .unet_ad_condition import UNetaDConditionModel
   from .unet_ad_condition import UNetaDConditionModel
   from .vq_model import VQModel

if is_flax_available():
   from .controlnet_flax import FlaxControlNetModel
   from .unet_ad_condition_flax import FlaxUNetaDConditionModel
   from .vae_flax import FlaxAutoencoderKL











'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def     __lowercase  ()   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       Any				   =				HfArgumentParser(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     __lowerCamelCase						:       Dict				   =				TensorFlowBenchmark(args=_lowercase     )
     try:
          __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          __lowerCamelCase						:       Tuple				   =				"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
          __lowerCamelCase						:       List[Any]				   =				""" """.join(str(_lowercase     ).split(""" """     )[:-1]     )
          __lowerCamelCase						:       Tuple				   =				""""""
          __lowerCamelCase						:       List[str]				   =				eval(str(_lowercase     ).split(""" """     )[-1]     )
          __lowerCamelCase						:       Tuple				   =				[]
          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(_lowercase     )
          if len(_lowercase     ) > 0:
               __lowerCamelCase						:       Tuple				   =				full_error_msg + begin_error_msg + str(_lowercase     )
          raise ValueError(_lowercase     )
     benchmark.run()


if __name__ == "__main__":
   main()



