



from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


__snake_case       :	Union[str, Any]            ={
    'susnato/ernie-m-base_pytorch': 'https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json',
    'susnato/ernie-m-large_pytorch': 'https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json',
}



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			="""ernie_m"""
		snake_case_			={"dropout": "classifier_dropout", "num_classes": "num_labels"}



		def __init__(self	,__lowerCamelCase = 25_00_02	,__lowerCamelCase = 7_68	,__lowerCamelCase = 12	,__lowerCamelCase = 12	,__lowerCamelCase = 30_72	,__lowerCamelCase = "gelu"	,__lowerCamelCase = 0.1	,__lowerCamelCase = 0.1	,__lowerCamelCase = 5_14	,__lowerCamelCase = 0.02	,__lowerCamelCase = 1	,__lowerCamelCase = 1e-05	,__lowerCamelCase=None	,__lowerCamelCase=False	,__lowerCamelCase=0.0	,**__lowerCamelCase	,)  ->    str:

						"""simple docstring"""






						super().__init__(pad_token_id=__lowerCamelCase	,**__lowerCamelCase				)
						lowerCAmelCase__  :       Optional[Any]				=  vocab_size
						lowerCAmelCase__  :       Union[str, Any]				=  hidden_size
						lowerCAmelCase__  :       Dict				=  num_hidden_layers
						lowerCAmelCase__  :       int				=  num_attention_heads
						lowerCAmelCase__  :       Any				=  intermediate_size
						lowerCAmelCase__  :       Tuple				=  hidden_act
						lowerCAmelCase__  :       List[Any]				=  hidden_dropout_prob
						lowerCAmelCase__  :       Tuple				=  attention_probs_dropout_prob
						lowerCAmelCase__  :       Tuple				=  max_position_embeddings
						lowerCAmelCase__  :       List[str]				=  initializer_range
						lowerCAmelCase__  :       Optional[Any]				=  layer_norm_eps
						lowerCAmelCase__  :       Union[str, Any]				=  classifier_dropout
						lowerCAmelCase__  :       Optional[Any]				=  is_decoder
						lowerCAmelCase__  :       Optional[int]				=  act_dropout






import copy

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


__snake_case       :	Any            =logging.get_logger(__name__)



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			="""encoder-decoder"""
		snake_case_			=True



		def __init__(self	,**__lowerCamelCase				)  ->    Union[str, Any]:

						"""simple docstring"""






						super().__init__(**__lowerCamelCase				)
						assert (
						    "encoder" in kwargs and "decoder" in kwargs
						), "Config has to be initialized with encoder and decoder config"
						lowerCAmelCase__  :       Optional[Any]				=  kwargs.pop('''encoder'''				)
						lowerCAmelCase__  :       Any				=  encoder_config.pop('''model_type'''				)
						lowerCAmelCase__  :       str				=  kwargs.pop('''decoder'''				)
						lowerCAmelCase__  :       Tuple				=  decoder_config.pop('''model_type'''				)

						from ..auto.configuration_auto import AutoConfig

						lowerCAmelCase__  :       Tuple				=  AutoConfig.for_model(__lowerCamelCase	,**__lowerCamelCase				)
						lowerCAmelCase__  :       Any				=  AutoConfig.for_model(__lowerCamelCase	,**__lowerCamelCase				)
						lowerCAmelCase__  :       str				=  True



		@classmethod
		def 	lowerCAmelCase__   (cls	,__lowerCamelCase	,__lowerCamelCase	,**__lowerCamelCase				)  ->    PretrainedConfig:

						"""simple docstring"""






						logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''				)
						lowerCAmelCase__  :       Optional[int]				=  True
						lowerCAmelCase__  :       List[str]				=  True

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



		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  copy.deepcopy(self.__dict__				)
						lowerCAmelCase__  :       Optional[Any]				=  self.encoder.to_dict()
						lowerCAmelCase__  :       str				=  self.decoder.to_dict()
						lowerCAmelCase__  :       Optional[int]				=  self.__class__.model_type
						return output

