
    sg/                     Z    d Z ddlmZ ddlmZ  ej
                  e      Z G d de      Zy)zPEGASUS model configuration   )PretrainedConfig)loggingc                        e Zd ZdZdZdgZdddZ	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 	 d fd	Zede	fd	       Z
ede	fd
       Z xZS )PegasusConfiga  
    This is the configuration class to store the configuration of a [`PegasusModel`]. It is used to instantiate an
    PEGASUS model according to the specified arguments, defining the model architecture. Instantiating a configuration
    with the defaults will yield a similar configuration to that of the PEGASUS
    [google/pegasus-large](https://huggingface.co/google/pegasus-large) architecture.

    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
    documentation from [`PretrainedConfig`] for more information.


    Args:
        vocab_size (`int`, *optional*, defaults to 50265):
            Vocabulary size of the PEGASUS model. Defines the number of different tokens that can be represented by the
            `inputs_ids` passed when calling [`PegasusModel`] or [`TFPegasusModel`].
        d_model (`int`, *optional*, defaults to 1024):
            Dimensionality of the layers and the pooler layer.
        encoder_layers (`int`, *optional*, defaults to 12):
            Number of encoder layers.
        decoder_layers (`int`, *optional*, defaults to 12):
            Number of decoder layers.
        encoder_attention_heads (`int`, *optional*, defaults to 16):
            Number of attention heads for each attention layer in the Transformer encoder.
        decoder_attention_heads (`int`, *optional*, defaults to 16):
            Number of attention heads for each attention layer in the Transformer decoder.
        decoder_ffn_dim (`int`, *optional*, defaults to 4096):
            Dimensionality of the "intermediate" (often named feed-forward) layer in decoder.
        encoder_ffn_dim (`int`, *optional*, defaults to 4096):
            Dimensionality of the "intermediate" (often named feed-forward) layer in decoder.
        activation_function (`str` or `function`, *optional*, defaults to `"gelu"`):
            The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`,
            `"relu"`, `"silu"` and `"gelu_new"` are supported.
        dropout (`float`, *optional*, defaults to 0.1):
            The dropout probability for all fully connected layers in the embeddings, encoder, and pooler.
        attention_dropout (`float`, *optional*, defaults to 0.0):
            The dropout ratio for the attention probabilities.
        activation_dropout (`float`, *optional*, defaults to 0.0):
            The dropout ratio for activations inside the fully connected layer.
        max_position_embeddings (`int`, *optional*, defaults to 1024):
            The maximum sequence length that this model might ever be used with. Typically set this to something large
            just in case (e.g., 512 or 1024 or 2048).
        init_std (`float`, *optional*, defaults to 0.02):
            The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
        encoder_layerdrop (`float`, *optional*, defaults to 0.0):
            The LayerDrop probability for the encoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556)
            for more details.
        decoder_layerdrop (`float`, *optional*, defaults to 0.0):
            The LayerDrop probability for the decoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556)
            for more details.
        scale_embedding (`bool`, *optional*, defaults to `False`):
            Scale embeddings by diving by sqrt(d_model).
        use_cache (`bool`, *optional*, defaults to `True`):
            Whether or not the model should return the last key/values attentions (not used by all models)
        forced_eos_token_id (`int`, *optional*, defaults to 1):
            The id of the token to force as the last generated token when `max_length` is reached. Usually set to
            `eos_token_id`.

    Example:

    ```python
    >>> from transformers import PegasusConfig, PegasusModel

    >>> # Initializing a PEGASUS google/pegasus-large style configuration
    >>> configuration = PegasusConfig()

    >>> # Initializing a model (with random weights) from the google/pegasus-large style configuration
    >>> model = PegasusModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```pegasuspast_key_valuesencoder_attention_headsd_model)num_attention_headshidden_sizec           	      :   || _         || _        || _        || _        || _        || _        || _        || _        || _        || _	        || _
        || _        || _        || _        |	| _        |
| _        || _        || _        || _        t'        | P  d|||||d| y )N)pad_token_ideos_token_idis_encoder_decoderdecoder_start_token_idforced_eos_token_id )
vocab_sizemax_position_embeddingsr
   encoder_ffn_dimencoder_layersr	   decoder_ffn_dimdecoder_layersdecoder_attention_headsdropoutattention_dropoutactivation_dropoutactivation_functioninit_stdencoder_layerdropdecoder_layerdrop	use_cachenum_hidden_layersscale_embeddingsuper__init__)selfr   r   r   r   r	   r   r   r   r    r!   r"   r   r   r
   r   r   r   r   r   r$   r   r   r   kwargs	__class__s                            d/var/www/html/venv/lib/python3.12/site-packages/transformers/models/pegasus/configuration_pegasus.pyr&   zPegasusConfig.__init__d   s    6 %'>$.,'>$.,'>$!2"4#6  !2!2"!/. 	
%%1#9 3	
 	
    returnc                     | j                   S N)r	   r'   s    r*   r   z!PegasusConfig.num_attention_heads   s    +++r+   c                     | j                   S r.   )r
   r/   s    r*   r   zPegasusConfig.hidden_size   s    ||r+   )iY              r2   r3   r4           r5   TTgelur1   g?r5   r5   g{Gz?    Fr7      r8   )__name__
__module____qualname____doc__
model_typekeys_to_ignore_at_inferenceattribute_mapr&   propertyintr   r   __classcell__)r)   s   @r*   r   r      s    EN J#4"5,EV_`M  $ " "" 15
n ,S , , S  r+   r   N)	r<   configuration_utilsr   utilsr   
get_loggerr9   loggerr   r   r+   r*   <module>rG      s3    " 3  
		H	%I$ Ir+   