




from typing import TYPE_CHECKING

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


__magic_name__  :  List[Any]					=       {
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  Union[str, Any]					=       ["""BlipImageProcessor"""]


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  Optional[Any]					=       [
          """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """BlipModel""",
          """BlipPreTrainedModel""",
          """BlipForConditionalGeneration""",
          """BlipForQuestionAnswering""",
          """BlipVisionModel""",
          """BlipTextModel""",
          """BlipForImageTextRetrieval""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  Union[str, Any]					=       [
          """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFBlipModel""",
          """TFBlipPreTrainedModel""",
          """TFBlipForConditionalGeneration""",
          """TFBlipForQuestionAnswering""",
          """TFBlipVisionModel""",
          """TFBlipTextModel""",
          """TFBlipForImageTextRetrieval""",
      ]

if TYPE_CHECKING:
      from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
      from .processing_blip import BlipProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_blip import BlipImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_blip import (
                BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                BlipForConditionalGeneration,
                BlipForImageTextRetrieval,
                BlipForQuestionAnswering,
                BlipModel,
                BlipPreTrainedModel,
                BlipTextModel,
                BlipVisionModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_blip import (
                TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFBlipForConditionalGeneration,
                TFBlipForImageTextRetrieval,
                TFBlipForQuestionAnswering,
                TFBlipModel,
                TFBlipPreTrainedModel,
                TFBlipTextModel,
                TFBlipVisionModel,
            )

else:
      import sys

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







from typing import TYPE_CHECKING

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


__magic_name__  :  Optional[Any]					=       {
    """configuration_informer""": [
        """INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InformerConfig""",
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  int					=       [
          """INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """InformerForPrediction""",
          """InformerModel""",
          """InformerPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_informer import (
                INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                InformerForPrediction,
                InformerModel,
                InformerPreTrainedModel,
            )

else:
      import sys

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

