class_docstr: FCOSLoss of Consistency Regularization
code: def decode_bbox(self, ltrb, points):
      assert (
          ltrb.shape[0] == points.shape[0]
      ), "When decoding bbox in one image, the num of loc should be same with points."
      bbox_decoding = paddle.stack(
          [
              points[:, 0] - ltrb[:, 0],
              points[:, 1] - ltrb[:, 1],
              points[:, 0] + ltrb[:, 2],
              points[:, 1] + ltrb[:, 3],
          ],
          axis=1,
      )
      return bbox_decoding
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ppdet.modeling import ops
  from functools import partial
label_desc: Use image node_id 6 for calling the FCOSLossCR obj's underlying member method code with example usage: obj.decode_bbox(ltrb, points) and returns: bbox_decoding