code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_tf_available,
      is_torch_available,
      is_vision_available,
  )
  
  
  _SCREAMING_SNAKE_CASE    :				int       =					{
      "configuration_sam": [
          "SAM_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "SamConfig",
          "SamMaskDecoderConfig",
          "SamPromptEncoderConfig",
          "SamVisionConfig",
      ],
      "processing_sam": ["SamProcessor"],
  }
  
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				int       =					[
       "SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "SamModel",
       "SamPreTrainedModel",
   ]
  try:
   if not is_tf_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				Tuple       =					[
       "TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "TFSamModel",
       "TFSamPreTrainedModel",
   ]
  try:
   if not is_vision_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   _SCREAMING_SNAKE_CASE    :				Dict       =					["SamImageProcessor"]
  
  
  if TYPE_CHECKING:
   from .configuration_sam import (
       SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
       SamConfig,
       SamMaskDecoderConfig,
       SamPromptEncoderConfig,
       SamVisionConfig,
   )
   from .processing_sam import SamProcessor
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_sam import SAM_PRETRAINED_MODEL_ARCHIVE_LIST, SamModel, SamPreTrainedModel
  
   try:
    if not is_tf_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_tf_sam import TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST, TFSamModel, TFSamPreTrainedModel
  
   try:
    if not is_vision_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .image_processing_sam import SamImageProcessor
  
  else:
   import sys
  
   _SCREAMING_SNAKE_CASE    :				Tuple       =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
style_context: 
  
  
  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,
  )
  
  
  _SCREAMING_SNAKE_CASE    :				Optional[int]       =					AttentionProcessor
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           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'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  