

"""simple docstring"""
from ..utils import DummyObject, requires_backends

class        _UpperCamelCase	(						metaclass=lowerCamelCase__	):


  """simple docstring"""





  snake_case_        =    ['torch', 'transformers', 'invisible_watermark']



  def __init__( self					: Any       ,       *snake_case					: Any       ,       **snake_case					: List[str]      )	->			Optional[Any]:


         '''simple docstring'''





         requires_backends(self       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )



  @classmethod
  def 							_UpperCAmelCase      ( cls					: List[Any]       ,       *snake_case					: Dict       ,       **snake_case					: Any      )	->			int:


         '''simple docstring'''





         requires_backends(cls       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )




  @classmethod
  def 							_UpperCAmelCase      ( cls					: Dict       ,       *snake_case					: Optional[Any]       ,       **snake_case					: Optional[Any]      )	->			List[Any]:


         '''simple docstring'''





         requires_backends(cls       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )

class        _UpperCamelCase	(						metaclass=lowerCamelCase__	):


  """simple docstring"""





  snake_case_        =    ['torch', 'transformers', 'invisible_watermark']



  def __init__( self					: Any       ,       *snake_case					: List[Any]       ,       **snake_case					: Optional[int]      )	->			str:


         '''simple docstring'''





         requires_backends(self       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )



  @classmethod
  def 							_UpperCAmelCase      ( cls					: Any       ,       *snake_case					: Dict       ,       **snake_case					: List[str]      )	->			List[str]:


         '''simple docstring'''





         requires_backends(cls       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )




  @classmethod
  def 							_UpperCAmelCase      ( cls					: List[Any]       ,       *snake_case					: List[Any]       ,       **snake_case					: List[Any]      )	->			Dict:


         '''simple docstring'''





         requires_backends(cls       ,       ['''torch''', '''transformers''', '''invisible_watermark''']      )



"""simple docstring"""
from typing import Callable, Optional, Union

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


A									=						logging.get_logger(__name__)

A									=						{
    """microsoft/prophetnet-large-uncased""": (
        """https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"""
    ),
}

class        _UpperCamelCase	(						lowerCamelCase__	):


  """simple docstring"""





  snake_case_        =    'prophetnet'
  snake_case_        =    ['past_key_values']
  snake_case_        =    {
      'num_attention_heads': 'num_encoder_attention_heads',
  }



  def __init__( self					: Union[str, Any]       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[Union[str, Callable]] = "gelu"       ,       snake_case					: Optional[int] = 3_0522       ,       snake_case					: Optional[int] = 1024       ,       snake_case					: Optional[int] = 4096       ,       snake_case					: Optional[int] = 12       ,       snake_case					: Optional[int] = 16       ,       snake_case					: Optional[int] = 4096       ,       snake_case					: Optional[int] = 12       ,       snake_case					: Optional[int] = 16       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[float] = 0.1       ,       snake_case					: Optional[int] = 512       ,       snake_case					: Optional[float] = 0.02       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[int] = 0       ,       snake_case					: Optional[int] = 2       ,       snake_case					: Optional[int] = 32       ,       snake_case					: Optional[int] = 128       ,       snake_case					: Optional[bool] = False       ,       snake_case					: Optional[float] = 0.0       ,       snake_case					: Optional[bool] = True       ,       snake_case					: Optional[int] = 0       ,       snake_case					: Optional[int] = 1       ,       snake_case					: Optional[int] = 2       ,       **snake_case					: Optional[int]       ,       )	->			List[Any]:


         '''simple docstring'''





         __magic_name__			:		Union[str, Any]        =     vocab_size
         __magic_name__			:		Tuple        =     hidden_size
         __magic_name__			:		str        =     encoder_ffn_dim
         __magic_name__			:		Tuple        =     num_encoder_layers
         __magic_name__			:		int        =     num_encoder_attention_heads
         __magic_name__			:		int        =     decoder_ffn_dim
         __magic_name__			:		Optional[int]        =     num_decoder_layers
         __magic_name__			:		str        =     num_decoder_attention_heads
         __magic_name__			:		Optional[Any]        =     max_position_embeddings
         __magic_name__			:		Union[str, Any]        =     init_std  # Normal(0, this parameter)
         __magic_name__			:		Tuple        =     activation_function

         # parameters for prophetnet
         __magic_name__			:		int        =     ngram
         __magic_name__			:		str        =     num_buckets
         __magic_name__			:		Any        =     relative_max_distance
         __magic_name__			:		Optional[int]        =     disable_ngram_loss
         __magic_name__			:		str        =     eps

         # 3 Types of Dropout
         __magic_name__			:		Dict        =     attention_dropout
         __magic_name__			:		Optional[int]        =     activation_dropout
         __magic_name__			:		List[Any]        =     dropout

         __magic_name__			:		str        =     use_cache

         super().__init__(
             pad_token_id=snake_case       ,       bos_token_id=snake_case       ,       eos_token_id=snake_case       ,       is_encoder_decoder=snake_case       ,       add_cross_attention=snake_case       ,       decoder_start_token_id=snake_case       ,       **snake_case       ,       )



  @property
  def 							_UpperCAmelCase      ( self					: str      )	->			int:


         '''simple docstring'''





         return self.num_encoder_layers + self.num_decoder_layers




  @num_hidden_layers.setter
  def 							_UpperCAmelCase      ( self					: Dict       ,       snake_case					: int      )	->			Optional[int]:


         '''simple docstring'''





         raise NotImplementedError(
             '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
             ''' `num_decoder_layers`.'''      )
