






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,
)


__A          = AttentionProcessor





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      str						,   *__A:      Dict						,   **__A:      List[Any]      )			-> Any:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      Optional[int]						,   **__A:      Tuple      )			-> Tuple:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Tuple						,   *__A:      Union[str, Any]						,   **__A:      str      )			-> List[Any]:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[str]						,   *__A:      int						,   **__A:      List[str]      )			-> int:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      int						,   **__A:      Union[str, Any]      )			-> Any:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      Optional[Any]						,   **__A:      int      )			-> Optional[Any]:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Any						,   *__A:      Optional[int]						,   **__A:      List[Any]      )			-> Dict:
												_A									=       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   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Union[str, Any]						,   *__A:      int						,   **__A:      int      )			-> Any:
												_A									=       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      )











from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A          = logging.get_logger(__name__)

__A          = {
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							A_       =    "nystromformer"

							def __init__(     self:      List[str]						,   __A:      Dict=3_00_00						,   __A:      int=7_68						,   __A:      int=12						,   __A:      Union[str, Any]=12						,   __A:      List[str]=30_72						,   __A:      Tuple="gelu_new"						,   __A:      Optional[Any]=0.1						,   __A:      Union[str, Any]=0.1						,   __A:      int=5_10						,   __A:      List[Any]=2						,   __A:      List[Any]=64						,   __A:      Optional[Any]=64						,   __A:      str=65						,   __A:      List[str]=False						,   __A:      Tuple=0.02						,   __A:      Dict=1e-5						,   __A:      int=1						,   __A:      str=0						,   __A:      int=2						,   **__A:      Union[str, Any]						,   )			-> int:
												_A									=       vocab_size
												_A									=       max_position_embeddings
												_A									=       hidden_size
												_A									=       num_hidden_layers
												_A									=       num_attention_heads
												_A									=       intermediate_size
												_A									=       hidden_act
												_A									=       hidden_dropout_prob
												_A									=       attention_probs_dropout_prob
												_A									=       initializer_range
												_A									=       type_vocab_size
												_A									=       segment_means_seq_len
												_A									=       num_landmarks
												_A									=       conv_kernel_size
												_A									=       inv_coeff_init_option
												_A									=       layer_norm_eps
												super().__init__(pad_token_id=__A						,   bos_token_id=__A						,   eos_token_id=__A						,   **__A      )



