Ë
    ÛÓ^jA	  ã                   ój   — 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y
)zI-JEPA model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzfacebook/ijepa_vith14_1k)Ú
checkpointc                   óD  ‡ — e Zd ZU dZdZ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e   z  eeef   z  ed<   dZeee   z  eeef   z  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IJepaConfiga¥  
    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 IJepaConfig, IJepaModel

    >>> # Initializing a IJEPA ijepa-base-patch16-224 style configuration
    >>> configuration = IJepaConfig()

    >>> # Initializing a model (with random weights) from the ijepa-base-patch16-224 style configuration
    >>> model = IJepaModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úijepai   Úhidden_sizeé   Únum_hidden_layersÚnum_attention_headsi   Úintermediate_sizeÚgeluÚ
hidden_actg        Úhidden_dropout_probÚattention_probs_dropout_probg{®Gáz”?Úinitializer_rangegê-�™—q=Úlayer_norm_epséà   Ú
image_sizeé   Ú
patch_sizer   Únum_channelsTÚqkv_biasNÚpooler_output_sizeÚtanhÚ
pooler_actc                 óv   •— | j                   r| j                   n| j                  | _         t        ‰| �  di |¤Ž y )N© )r   r   ÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €úx/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/models/ijepa/configuration_ijepa.pyr"   zIJepaConfig.__post_init__@   s2   ø€ Ø=A×=TÒ=T $×"9Ò"9ÐZ^×ZjÑZjˆÔÜ‰ÑÑ' Ó'ó    )Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typer   ÚintÚ__annotations__r   r   r   r   Ústrr   Úfloatr   r   r   r   ÚlistÚtupler   r   r   Úboolr   r   r"   Ú__classcell__)r%   s   @r&   r	   r	      sì   ø… ñð* €Jà€K�ÓØÐ�sÓØ!Ð˜Ó!Ø!Ð�sÓ!Ø€J�ÓØ'*Ð˜ ™Ó*Ø03Ð  %¨#¡+Ó3Ø#Ð�uÓ#Ø!€N�EÓ!Ø47€J��d˜3‘i‘ %¨¨S¨¡/Ñ1Ó7Ø46€J��d˜3‘i‘ %¨¨S¨¡/Ñ1Ó6Ø€L�#ÓØ€HˆdÓØ%)Ð˜˜d™
Ó)Ø€J�Ó÷(ð (r'   r	   N)	r+   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r    r'   r&   ú<module>r9      sG   ðñ !å .å 3Ý #ñ Ð5Ô6Øô*(Ð"ó *(ó ó 7ð*(ðZ ˆ/�r'   