



'''simple docstring'''

import warnings

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


UpperCAmelCase     		=   logging.get_logger(__name__)

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

class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						UpperCAmelCase							:   List[Any]									=		"mvp"
						UpperCAmelCase							:   str									=		["past_key_values"]
						UpperCAmelCase							:   Optional[int]									=		{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}


						def __init__( self     ,	A_=5_0267     ,	A_=1024     ,	A_=12     ,	A_=4096     ,	A_=16     ,	A_=12     ,	A_=4096     ,	A_=16     ,	A_=0.0     ,	A_=0.0     ,	A_="gelu"     ,	A_=1024     ,	A_=0.1     ,	A_=0.0     ,	A_=0.0     ,	A_=0.0_2     ,	A_=0.0     ,	A_=False     ,	A_=True     ,	A_=1     ,	A_=0     ,	A_=2     ,	A_=True     ,	A_=2     ,	A_=2     ,	A_=False     ,	A_=100     ,	A_=800     ,	**A_     ,	)     ->     Tuple:
							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=A_     ,	bos_token_id=A_     ,	eos_token_id=A_     ,	is_encoder_decoder=A_     ,	decoder_start_token_id=A_     ,	forced_eos_token_id=A_     ,	**A_     ,	)

							if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""     ,	A_				):
								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 torch import nn






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[int]							)      ->						Union[str, Any]:







	"""simple docstring"""
	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}'							)