§
    ‚ŠtjR
  ã                   ó„   — d Z ddlmZ ddlmZ ddlmZ  ed¬¦  «        e G d„ d	e¦  «        ¦   «         ¦   «         Zd	gZd
S )zViViT model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzgoogle/vivit-b-16x2-kinetics400)Ú
checkpointc                   ód  ‡ — e Zd ZU dZdZdZeee         z  eeef         z  e	d<   dZ
ee	d<   dZee         eedf         z  e	d	<   d
Zee	d<   dZee	d<   dZee	d<   dZee	d<   dZee	d<   dZee	d<   dZeez  e	d<   dZeez  e	d<   dZee	d<   dZee	d<   dZee	d<   dZedz  e	d<   d Zee	d!<   ˆ fd"„Zˆ xZS )#ÚVivitConfiga�  
    num_frames (`int`, *optional*, defaults to 32):
        The number of frames in each video.
    tubelet_size (`list[int]`, *optional*, defaults to `[2, 16, 16]`):
        The size (resolution) of each tubelet.
    pooler_output_size (`int`, *optional*):
        Dimensionality of the pooler layer. If None, defaults to `hidden_size`.
    pooler_act (`str`, *optional*, defaults to `"tanh"`):
        The activation function to be used by the pooler.

    Example:

    ```python
    >>> from transformers import VivitConfig, VivitModel

    >>> # Initializing a ViViT google/vivit-b-16x2-kinetics400 style configuration
    >>> configuration = VivitConfig()

    >>> # Initializing a model (with random weights) from the google/vivit-b-16x2-kinetics400 style configuration
    >>> model = VivitModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úvivitéà   Ú
image_sizeé    Ú
num_frames)é   é   r   .Útubelet_sizer   Únum_channelsi   Úhidden_sizeé   Únum_hidden_layersÚnum_attention_headsi   Úintermediate_sizeÚ	gelu_fastÚ
hidden_actg        Úhidden_dropout_probÚattention_probs_dropout_probg{®Gáz”?Úinitializer_rangeg�íµ ÷Æ°>Úlayer_norm_epsTÚqkv_biasNÚpooler_output_sizeÚtanhÚ
pooler_actc                 ón   •— | j         r| j         n| j        | _          t          ¦   «         j        di |¤Ž d S )N© )r   r   ÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €úk/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/vivit/configuration_vivit.pyr%   zVivitConfig.__post_init__E   sB   ø€ Ø=AÔ=TÐ"j $Ô"9Ð"9ÐZ^ÔZjˆÔØ�‰ŒÔÐ'Ð' Ð'Ð'Ð'Ð'Ð'ó    )Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typer   ÚintÚlistÚtupleÚ__annotations__r   r   r   r   r   r   r   r   Ústrr   Úfloatr   r   r   r   Úboolr   r!   r%   Ú__classcell__)r(   s   @r)   r	   r	      s„  ø€ € € € € € ðð ð2 €Jà47€J��d˜3”i‘ %¨¨S¨¤/Ñ1Ð7Ð7Ñ7Ø€J�ÐÐÑØ0;€L�$�s”)˜e C¨ HœoÑ-Ð;Ð;Ñ;Ø€L�#ÐÐÑØ€K�ÐÐÑØÐ�sÐÐÑØ!Ð˜Ð!Ð!Ñ!Ø!Ð�sÐ!Ð!Ñ!Ø!€J�Ð!Ð!Ñ!Ø'*Ð˜ ™Ð*Ð*Ñ*Ø03Ð  %¨#¡+Ð3Ð3Ñ3Ø#Ð�uÐ#Ð#Ñ#Ø!€N�EÐ!Ð!Ñ!Ø€HˆdÐÐÑØ%)Ð˜˜d™
Ð)Ð)Ñ)Ø€J�ÐÐÑð(ð (ð (ð (ð (ð (ð (ð (ð (r*   r	   N)	r.   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r#   r*   r)   ú<module>r<      s¡   ðð  Ð à .Ð .Ð .Ð .Ð .Ð .à 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø #Ð #Ð #Ð #Ð #Ð #ð €Ð<Ð=Ñ=Ô=Øð/(ð /(ð /(ð /(ð /(Ð"ñ /(ô /(ñ „ñ >Ô=ð/(ðd ˆ/€€€r*   