
import copy

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


A     :	Dict    = logging.get_logger(__name__)







class 			__A( a			):
				snake_case_						   =    '''encoder-decoder'''
				snake_case_						   =    True




				def __init__(     self		,     **_snake_case				)    ->      str:


								'''simple docstring'''




								super().__init__(**_snake_case				)
								assert (
								    "encoder" in kwargs and "decoder" in kwargs
								), "Config has to be initialized with encoder and decoder config"
								__a										=    kwargs.pop('''encoder'''				)
								__a										=    encoder_config.pop('''model_type'''				)
								__a										=    kwargs.pop('''decoder'''				)
								__a										=    decoder_config.pop('''model_type'''				)

								from ..auto.configuration_auto import AutoConfig

								__a										=    AutoConfig.for_model(_snake_case		,     **_snake_case				)
								__a										=    AutoConfig.for_model(_snake_case		,     **_snake_case				)
								__a										=    True




				@classmethod
				def 				SCREAMING_SNAKE_CASE_		(     cls		,     _snake_case		,     _snake_case		,     **_snake_case				)    ->      PretrainedConfig:


								'''simple docstring'''




								logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''				)
								__a										=    True
								__a										=    True

								return cls(encoder=encoder_config.to_dict()		,     decoder=decoder_config.to_dict()		,     **_snake_case				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Optional[Any]:


								'''simple docstring'''




								__a										=    copy.deepcopy(self.__dict__				)
								__a										=    self.encoder.to_dict()
								__a										=    self.decoder.to_dict()
								__a										=    self.__class__.model_type
								return output







"""simple docstring"""
from torch import nn

def 				snake_case      (   A__						):
			if act_fn in ["swish", "silu"]:
						return nn.SiLU()
			elif act_fn == "mish":
						return nn.Mish()
			elif act_fn == "gelu":
						return nn.GELU()
			else:
						raise ValueError(F"""Unsupported activation function: {act_fn}"""						)



