ó
    Eñi6  ã                   óØ   • S SK r S SKr S SK JrJr  S SKJr  S SKJr  SSKJ	r	  SSK
JrJr  \ R                  R                   SS	\S
\S\S\S\4
S jj5       r " S S\R$                  5      rg)é    N)ÚnnÚTensor)Ú_pair)Ú_assert_has_opsé   )Ú_log_api_usage_onceé   )Úcheck_roi_boxes_shapeÚconvert_boxes_to_roi_formatÚinputÚboxesÚoutput_sizeÚspatial_scaleÚreturnc                 ó®  • [         R                  R                  5       (       d2  [         R                  R                  5       (       d  [	        [
        5        [        5         [        U5        Un[        U5      n[        U[         R                  5      (       d  [        U5      n[         R                  R                  R                  XX2S   US   5      u  pVU$ )aK  
Performs Position-Sensitive Region of Interest (RoI) Pool operator
described in R-FCN

Args:
    input (Tensor[N, C, H, W]): The input tensor, i.e. a batch with ``N`` elements. Each element
        contains ``C`` feature maps of dimensions ``H x W``.
    boxes (Tensor[K, 5] or List[Tensor[L, 4]]): the box coordinates in (x1, y1, x2, y2)
        format where the regions will be taken from.
        The coordinate must satisfy ``0 <= x1 < x2`` and ``0 <= y1 < y2``.
        If a single Tensor is passed, then the first column should
        contain the index of the corresponding element in the batch, i.e. a number in ``[0, N - 1]``.
        If a list of Tensors is passed, then each Tensor will correspond to the boxes for an element i
        in the batch.
    output_size (int or Tuple[int, int]): the size of the output (in bins or pixels) after the pooling
        is performed, as (height, width).
    spatial_scale (float): a scaling factor that maps the box coordinates to
        the input coordinates. For example, if your boxes are defined on the scale
        of a 224x224 image and your input is a 112x112 feature map (resulting from a 0.5x scaling of
        the original image), you'll want to set this to 0.5. Default: 1.0

Returns:
    Tensor[K, C / (output_size[0] * output_size[1]), output_size[0], output_size[1]]: The pooled RoIs.
r   r	   )ÚtorchÚjitÚis_scriptingÚ
is_tracingr   Úps_roi_poolr   r
   r   Ú
isinstancer   r   ÚopsÚtorchvision)r   r   r   r   ÚroisÚoutputÚ_s          ÚX/home/mande/repo/quber/.venv/lib/python3.13/site-packages/torchvision/ops/ps_roi_pool.pyr   r      sš   € ô> �9‰9×!Ñ!×#Ñ#¬E¯I©I×,@Ñ,@×,BÑ,BÜœKÔ(ÜÔÜ˜%Ô Ø€DÜ˜Ó$€KÜ�dœEŸL™L×)Ñ)Ü*¨4Ó0ˆÜ—	‘	×%Ñ%×1Ñ1°%¸}ÐZ[ÉnÐ^iÐjkÑ^lÓm�I€FØ€Mó    c                   ó\   ^ • \ rS rSrSrS\S\4U 4S jjrS\S\S\4S	 jr	S\
4S
 jrSrU =r$ )Ú	PSRoIPoolé6   z
See :func:`ps_roi_pool`.
r   r   c                 óP   >• [         TU ]  5         [        U 5        Xl        X l        g ©N)ÚsuperÚ__init__r   r   r   )Úselfr   r   Ú	__class__s      €r   r%   ÚPSRoIPool.__init__;   s"   ø€ Ü‰ÑÔÜ˜DÔ!Ø&ÔØ*Õr   r   r   r   c                 óD   • [        XU R                  U R                  5      $ r#   )r   r   r   )r&   r   r   s      r   ÚforwardÚPSRoIPool.forwardA   s   € Ü˜5¨×(8Ñ(8¸$×:LÑ:LÓMÐMr   c                 ól   • U R                   R                   SU R                   SU R                   S3nU$ )Nz(output_size=z, spatial_scale=Ú))r'   Ú__name__r   r   )r&   Úss     r   Ú__repr__ÚPSRoIPool.__repr__D   s;   € Ø�~‰~×&Ñ&Ð' }°T×5EÑ5EÐ4FÐFVÐW[×WiÑWiÐVjÐjkÐlˆØˆr   )r   r   )r.   Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__ÚintÚfloatr%   r   r*   Ústrr0   Ú__static_attributes__Ú__classcell__)r'   s   @r   r    r    6   sJ   ø† ñð+ Cð +¸÷ +ðN˜Vð N¨6ð N°fô Nð˜#÷ ò r   r    )g      ð?)r   Útorch.fxr   r   Útorch.nn.modules.utilsr   Útorchvision.extensionr   Úutilsr   Ú_utilsr
   r   ÚfxÚwrapr6   r7   r   ÚModuler    © r   r   Ú<module>rD      sz   ðÛ Û ß Ý (Ý 1å 'ß Fð ‡�‡�ð
 ñ	'Øð'àð'ð ð'ð ð	'ð
 ô'ó ð'ôT�—	‘	õ r   