






from typing import TYPE_CHECKING

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


a		:	Dict      					=			{
    "configuration_flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Any      					=			["FlavaFeatureExtractor"]
       a		:	List[Any]      					=			["FlavaImageProcessor"]
       a		:	List[Any]      					=			["FlavaProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			[
           "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "FlavaForPreTraining",
           "FlavaImageCodebook",
           "FlavaImageModel",
           "FlavaModel",
           "FlavaMultimodalModel",
           "FlavaPreTrainedModel",
           "FlavaTextModel",
       ]

if TYPE_CHECKING:
       from .configuration_flava import (
           FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
           FlavaConfig,
           FlavaImageCodebookConfig,
           FlavaImageConfig,
           FlavaMultimodalConfig,
           FlavaTextConfig,
       )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_flava import FlavaFeatureExtractor
              from .image_processing_flava import FlavaImageProcessor
              from .processing_flava import FlavaProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flava import (
                  FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  FlavaForPreTraining,
                  FlavaImageCodebook,
                  FlavaImageModel,
                  FlavaModel,
                  FlavaMultimodalModel,
                  FlavaPreTrainedModel,
                  FlavaTextModel,
              )

else:
       import sys

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










from typing import TYPE_CHECKING

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


a		:	Any      					=			{
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			["DetaImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Tuple      					=			[
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_deta import DetaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deta import (
                  DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DetaForObjectDetection,
                  DetaModel,
                  DetaPreTrainedModel,
              )

else:
       import sys

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


