


from typing import TYPE_CHECKING

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


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

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=["MobileNetV1FeatureExtractor"]
				lowerCAmelCase__       :	List[Any]     				=["MobileNetV1ImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Union[str, Any]     				=[
				    "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

				lowerCAmelCase__       :	Dict     				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







'''simple docstring'''



from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    "cross_attention",
    "0.20.0",
    "Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.",
    standard_warn=False,
)


UpperCamelCase__					:						str											=     AttentionProcessor

class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	int:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Any:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	List[str]:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Tuple:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	str:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Union[str, Any]:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	str:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Any:
          _SCREAMING_SNAKE_CASE          = F"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'					)					)} instead."
          deprecate("""cross_attention"""				,							"""0.20.0"""				,							A__				,							standard_warn=A__					)
          super().__init__(*A__				,							**A__					)






