





"""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_	 =AttentionProcessor




class 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Any,					*lowerCAmelCase__						:       Optional[int],					**lowerCAmelCase__						:       str				)      -> int:




										'''simple docstring'''



										_UpperCamelCase     :   List[str]      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       str,					*lowerCAmelCase__						:       Any,					**lowerCAmelCase__						:       Any				)      -> Dict:




										'''simple docstring'''



										_UpperCamelCase     :   List[str]      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Any,					*lowerCAmelCase__						:       Any,					**lowerCAmelCase__						:       Optional[Any]				)      -> int:




										'''simple docstring'''



										_UpperCamelCase     :   int      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Any,					*lowerCAmelCase__						:       List[str],					**lowerCAmelCase__						:       List[str]				)      -> str:




										'''simple docstring'''



										_UpperCamelCase     :   str      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Optional[Any],					*lowerCAmelCase__						:       Any,					**lowerCAmelCase__						:       List[str]				)      -> Union[str, Any]:




										'''simple docstring'''



										_UpperCamelCase     :   Optional[Any]      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Tuple,					*lowerCAmelCase__						:       Optional[Any],					**lowerCAmelCase__						:       Union[str, Any]				)      -> Tuple:




										'''simple docstring'''



										_UpperCamelCase     :   int      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Dict,					*lowerCAmelCase__						:       Any,					**lowerCAmelCase__						:       Optional[int]				)      -> Union[str, Any]:




										'''simple docstring'''



										_UpperCamelCase     :   str      =       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 					_a		( _lowerCAmelCase							):






				def __init__(					self						:       Tuple,					*lowerCAmelCase__						:       int,					**lowerCAmelCase__						:       Dict				)      -> List[str]:




										'''simple docstring'''



										_UpperCamelCase     :   Optional[int]      =       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__				)










"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_	 ={
    """configuration_camembert""": ["""CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CamembertConfig""", """CamembertOnnxConfig"""],
}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_	 =["""CamembertTokenizer"""]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_	 =["""CamembertTokenizerFast"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_	 =[
						    """CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """CamembertForCausalLM""",
						    """CamembertForMaskedLM""",
						    """CamembertForMultipleChoice""",
						    """CamembertForQuestionAnswering""",
						    """CamembertForSequenceClassification""",
						    """CamembertForTokenClassification""",
						    """CamembertModel""",
						    """CamembertPreTrainedModel""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_	 =[
						    """TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TFCamembertForCausalLM""",
						    """TFCamembertForMaskedLM""",
						    """TFCamembertForMultipleChoice""",
						    """TFCamembertForQuestionAnswering""",
						    """TFCamembertForSequenceClassification""",
						    """TFCamembertForTokenClassification""",
						    """TFCamembertModel""",
						    """TFCamembertPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig, CamembertOnnxConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_camembert import CamembertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_camembert_fast import CamembertTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_camembert import (
												    CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    CamembertForCausalLM,
												    CamembertForMaskedLM,
												    CamembertForMultipleChoice,
												    CamembertForQuestionAnswering,
												    CamembertForSequenceClassification,
												    CamembertForTokenClassification,
												    CamembertModel,
												    CamembertPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_camembert import (
												    TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFCamembertForCausalLM,
												    TFCamembertForMaskedLM,
												    TFCamembertForMultipleChoice,
												    TFCamembertForQuestionAnswering,
												    TFCamembertForSequenceClassification,
												    TFCamembertForTokenClassification,
												    TFCamembertModel,
												    TFCamembertPreTrainedModel,
												)

else:
						import sys

						UpperCamelCase_	 =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



