





'''simple docstring'''


import warnings

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


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	 =							{
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}

class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							Dict         =					"mvp"
 __lowerCamelCase						:							Dict         =					["past_key_values"]
 __lowerCamelCase						:							int         =					{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




 def __init__(	self			,     _lowerCAmelCase=50267			,     _lowerCAmelCase=1024			,     _lowerCAmelCase=12			,     _lowerCAmelCase=4096			,     _lowerCAmelCase=16			,     _lowerCAmelCase=12			,     _lowerCAmelCase=4096			,     _lowerCAmelCase=16			,     _lowerCAmelCase=0.0			,     _lowerCAmelCase=0.0			,     _lowerCAmelCase="gelu"			,     _lowerCAmelCase=1024			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=0.0			,     _lowerCAmelCase=0.0			,     _lowerCAmelCase=0.02			,     _lowerCAmelCase=0.0			,     _lowerCAmelCase=False			,     _lowerCAmelCase=True			,     _lowerCAmelCase=1			,     _lowerCAmelCase=0			,     _lowerCAmelCase=2			,     _lowerCAmelCase=True			,     _lowerCAmelCase=2			,     _lowerCAmelCase=2			,     _lowerCAmelCase=False			,     _lowerCAmelCase=100			,     _lowerCAmelCase=800			,     **_lowerCAmelCase			,     )    ->							List[Any]:
     _lowerCAmelCase				=      vocab_size
     _lowerCAmelCase				=      max_position_embeddings
     _lowerCAmelCase				=      d_model
     _lowerCAmelCase				=      encoder_ffn_dim
     _lowerCAmelCase				=      encoder_layers
     _lowerCAmelCase				=      encoder_attention_heads
     _lowerCAmelCase				=      decoder_ffn_dim
     _lowerCAmelCase				=      decoder_layers
     _lowerCAmelCase				=      decoder_attention_heads
     _lowerCAmelCase				=      dropout
     _lowerCAmelCase				=      attention_dropout
     _lowerCAmelCase				=      activation_dropout
     _lowerCAmelCase				=      activation_function
     _lowerCAmelCase				=      init_std
     _lowerCAmelCase				=      encoder_layerdrop
     _lowerCAmelCase				=      decoder_layerdrop
     _lowerCAmelCase				=      classifier_dropout
     _lowerCAmelCase				=      use_cache
     _lowerCAmelCase				=      encoder_layers
     _lowerCAmelCase				=      scale_embedding  # scale factor will be sqrt(d_model) if True
     _lowerCAmelCase				=      use_prompt
     _lowerCAmelCase				=      prompt_length
     _lowerCAmelCase				=      prompt_mid_dim

     super().__init__(
         pad_token_id=_lowerCAmelCase			,     bos_token_id=_lowerCAmelCase			,     eos_token_id=_lowerCAmelCase			,     is_encoder_decoder=_lowerCAmelCase			,     decoder_start_token_id=_lowerCAmelCase			,     forced_eos_token_id=_lowerCAmelCase			,     **_lowerCAmelCase			,     )

     if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"			,     _lowerCAmelCase		):
         _lowerCAmelCase				=      self.bos_token_id
         warnings.warn(
             f'''Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '''
             "The config can simply be saved and uploaded again to be fixed."		)









'''simple docstring'''


from ...configuration_utils import PretrainedConfig

class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							List[str]         =					"bert-generation"




 def __init__(	self			,     _lowerCAmelCase=50358			,     _lowerCAmelCase=1024			,     _lowerCAmelCase=24			,     _lowerCAmelCase=16			,     _lowerCAmelCase=4096			,     _lowerCAmelCase="gelu"			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=512			,     _lowerCAmelCase=0.02			,     _lowerCAmelCase=1E-12			,     _lowerCAmelCase=0			,     _lowerCAmelCase=2			,     _lowerCAmelCase=1			,     _lowerCAmelCase="absolute"			,     _lowerCAmelCase=True			,     **_lowerCAmelCase			,     )    ->							Tuple:
     super().__init__(pad_token_id=_lowerCAmelCase			,     bos_token_id=_lowerCAmelCase			,     eos_token_id=_lowerCAmelCase			,     **_lowerCAmelCase		)

     _lowerCAmelCase				=      vocab_size
     _lowerCAmelCase				=      hidden_size
     _lowerCAmelCase				=      num_hidden_layers
     _lowerCAmelCase				=      num_attention_heads
     _lowerCAmelCase				=      hidden_act
     _lowerCAmelCase				=      intermediate_size
     _lowerCAmelCase				=      hidden_dropout_prob
     _lowerCAmelCase				=      attention_probs_dropout_prob
     _lowerCAmelCase				=      max_position_embeddings
     _lowerCAmelCase				=      initializer_range
     _lowerCAmelCase				=      layer_norm_eps
     _lowerCAmelCase				=      position_embedding_type
     _lowerCAmelCase				=      use_cache


