
'''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,
)


lowerCAmelCase_      =   AttentionProcessor







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)







class 		snake_case_       (						a__						):



   """simple docstring"""





   def __init__( self			,   *UpperCamelCase			,   **UpperCamelCase):
          lowerCamelCase__				   =      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"			,   _lowerCamelCase			,   standard_warn=_lowerCamelCase)
          super().__init__(*_lowerCamelCase			,   **_lowerCamelCase)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__				:      List[Any]    		=     {
    '''configuration_decision_transformer''': [
        '''DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''DecisionTransformerConfig''',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__				:      List[str]    		=     [
          '''DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''DecisionTransformerGPT2Model''',
          '''DecisionTransformerGPT2PreTrainedModel''',
          '''DecisionTransformerModel''',
          '''DecisionTransformerPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_decision_transformer import (
          DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          DecisionTransformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_decision_transformer import (
                DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                DecisionTransformerGPTaModel,
                DecisionTransformerGPTaPreTrainedModel,
                DecisionTransformerModel,
                DecisionTransformerPreTrainedModel,
            )


else:
      import sys

      a__				:      str    		=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
