h6 SSKrSSKrSSKJrJr SSKJr SSKJr SSKJ r SSK J r J r \RRSS \S \S \S \S \4 Sjj5r"SS\R$5rg)N)nnTensor)_pair)_assert_has_ops)_log_api_usage_once)check_roi_boxes_shapeconvert_boxes_to_roi_formatinputboxes output_size spatial_scalereturnc[RR5(d2[RR5(d[ [ 5 [ 5 [U5 Un[U5n[U[R5(d [U5n[RRR XX2SUS5upVU$)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. rr )torchjit is_scripting is_tracingr ps_roi_poolrr r isinstancerr ops torchvision)r r rrroisoutput_s S/var/www/auris/envauris/lib/python3.13/site-packages/torchvision/ops/ps_roi_pool.pyrr s> 99 ! ! # #EII,@,@,B,BK(% D $K dELL ) )*40 %%11%}Z[n^ijk^lmIF Mc\^\rSrSrSrS\S\4U4SjjrS\S\S\4S jr S\ 4S jr S r U=r $) PSRoIPool6z See :func:`ps_roi_pool`. rrcP>[TU]5 [U5 XlX lgN)super__init__rrr)selfrr __class__s rr%PSRoIPool.__init__;s" D!&*rr rrcD[XURUR5$r#)rrr)r&r rs rforwardPSRoIPool.forwardAs5(8(8$:L:LMMrclURRSURSURS3nU$)Nz (output_size=z, spatial_scale=))r'__name__rr)r&ss r__repr__PSRoIPool.__repr__Ds;~~&&'}T5E5E4FFVW[WiWiVjjk lr)rr)r. __module__ __qualname____firstlineno____doc__intfloatr%rr*strr0__static_attributes__ __classcell__)r's@rr r 6sJ+C++ NVN6NfN#rr )g?)rtorch.fxrrtorch.nn.modules.utilsrtorchvision.extensionrutilsr_utilsr r fxwrapr6r7rModuler rrrDsz (1'F  ' ' '' '  ''T r