
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


_A   =			logging.get_logger(__name__)

_A   =			"T5Config"







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							str									=		"mt5"
     UpperCAmelCase__    :							List[str]									=		MTaConfig







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							Union[str, Any]									=		"mt5"
     UpperCAmelCase__    :							Any									=		MTaConfig







class 					lowerCamelCase		(  A_  ):
     UpperCAmelCase__    :							Optional[Any]									=		"mt5"
     UpperCAmelCase__    :							Dict									=		MTaConfig



from ..utils import DummyObject, requires_backends







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							Union[str, Any]									=		["onnx"]





     def __init__(self				:   Tuple    ,   *_A				:   Optional[int]    ,   **_A				:   Any       )						->						Dict:
         requires_backends(self    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   int    ,   *_A				:   Dict    ,   **_A				:   List[Any]       )						->						Optional[Any]:
         requires_backends(cls    ,   ["onnx"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Dict    ,   *_A				:   Tuple    ,   **_A				:   Optional[Any]       )						->						int:
         requires_backends(cls    ,   ["onnx"]       )

