


'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__    					=      {"configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig", "DeiTOnnxConfig"]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    					=      ["DeiTFeatureExtractor"]
  UpperCamelCase__    					=      ["DeiTImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    					=      [
      "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "DeiTForImageClassification",
      "DeiTForImageClassificationWithTeacher",
      "DeiTForMaskedImageModeling",
      "DeiTModel",
      "DeiTPreTrainedModel",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    					=      [
      "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFDeiTForImageClassification",
      "TFDeiTForImageClassificationWithTeacher",
      "TFDeiTForMaskedImageModeling",
      "TFDeiTModel",
      "TFDeiTPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_deit import DeiTFeatureExtractor
    from .image_processing_deit import DeiTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_deit import (
        DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DeiTForImageClassification,
        DeiTForImageClassificationWithTeacher,
        DeiTForMaskedImageModeling,
        DeiTModel,
        DeiTPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_deit import (
        TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFDeiTForImageClassification,
        TFDeiTForImageClassificationWithTeacher,
        TFDeiTForMaskedImageModeling,
        TFDeiTModel,
        TFDeiTPreTrainedModel,
    )


else:
  import sys

  UpperCamelCase__    					=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




"""simple docstring"""


from diffusers.utils.testing_utils import require_onnxruntime
@require_onnxruntime
class   _UpperCamelCase  :
							'''simple docstring'''







							pass




