





from typing import TYPE_CHECKING

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


_snake_case				= {
    """configuration_mobilenet_v1""": [
        """MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV1Config""",
        """MobileNetV1OnnxConfig""",
    ],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= ["""MobileNetV1FeatureExtractor"""]
  _snake_case				= ["""MobileNetV1ImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= [
      """MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """MobileNetV1ForImageClassification""",
      """MobileNetV1Model""",
      """MobileNetV1PreTrainedModel""",
      """load_tf_weights_in_mobilenet_v1""",
  ]


if TYPE_CHECKING:
  from .configuration_mobilenet_va import (
      MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
      MobileNetVaConfig,
      MobileNetVaOnnxConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
    from .image_processing_mobilenet_va import MobileNetVaImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_mobilenet_va import (
        MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
        MobileNetVaForImageClassification,
        MobileNetVaModel,
        MobileNetVaPreTrainedModel,
        load_tf_weights_in_mobilenet_va,
    )


else:
  import sys

  _snake_case				= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







from ..utils import DummyObject, requires_backends
class 				a_ (						metaclass=SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					['tensorflow_text']




 def __init__(			self					:  Tuple			,    *lowercase__					:  str			,    **lowercase__					:  Union[str, Any]):







        '''simple docstring'''



        requires_backends(self			,    ['tensorflow_text'])
