§
    ‚ŠtjG	  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YOLOS model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzhustvl/yolos-base)Ú
checkpointc                   ó¢  — 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ed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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d(<   d)Z!eed*<   d+S ),ÚYolosConfiga•  
    num_detection_tokens (`int`, *optional*, defaults to 100):
        The number of detection tokens.
    use_mid_position_embeddings (`bool`, *optional*, defaults to `True`):
        Whether to use the mid-layer position encodings.

    Example:

    ```python
    >>> from transformers import YolosConfig, YolosModel

    >>> # Initializing a YOLOS hustvl/yolos-base style configuration
    >>> configuration = YolosConfig()

    >>> # Initializing a model (with random weights) from the hustvl/yolos-base style configuration
    >>> model = YolosModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úyolosi   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_eps)i   i`  .Ú
image_sizeé   Ú
patch_sizer   Únum_channelsTÚqkv_biaséd   Únum_detection_tokensÚuse_mid_position_embeddingsFÚauxiliary_lossé   Ú
class_costé   Ú	bbox_costé   Ú	giou_costÚbbox_loss_coefficientÚgiou_loss_coefficientgš™™™™™¹?Úeos_coefficientN)"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   r    r"   r$   r%   r&   r'   © ó    úk/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/yolos/configuration_yolos.pyr	   r	      s»  € € € € € € ðð ð* €Jà€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.8€J��S”	˜E # s (œOÑ+Ð8Ð8Ñ8Ø46€J��d˜3”i‘ %¨¨S¨¤/Ñ1Ð6Ð6Ñ6Ø€L�#ÐÐÑØ€HˆdÐÐÑØ #Ð˜#Ð#Ð#Ñ#Ø(,Ð Ð,Ð,Ñ,Ø €N�DÐ Ð Ñ Ø€J�ÐÐÑØ€IˆsÐÐÑØ€IˆsÐÐÑØ!"Ð˜3Ð"Ð"Ñ"Ø!"Ð˜3Ð"Ð"Ñ"Ø €O�UÐ Ð Ñ Ð Ð r5   r	   N)	r+   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r4   r5   r6   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 0Ô/ð-!ð` ˆ/€€€r5   