code: def _bbox2distance(self, points, bbox):
      x1y1, x2y2 = paddle.split(bbox, 2, -1)
      lt = points - x1y1
      rb = x2y2 - points
      return paddle.concat([lt, rb], -1).clip(
          self.reg_range[0], self.reg_range[1] - 1 - 0.01
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from paddle import ParamAttr
  from paddle.nn.initializer import KaimingNormal
  from paddle.nn.initializer import Normal, Constant
  from ..bbox_utils import batch_distance2bbox
  from ..losses import GIoULoss
  from ..initializer import bias_init_with_prob, constant_, normal_
  from ..assigners.utils import generate_anchors_for_grid_cell
  from ppdet.modeling.backbones.cspresnet import ConvBNLayer, RepVggBlock
  from ppdet.modeling.ops import get_static_shape, get_act_fn
  from ppdet.modeling.layers import MultiClassNMS
label_desc: Use image node_id 12 for calling the PPYOLOEHead obj's underlying member method code with example usage: obj._bbox2distance(points, bbox) and returns: paddle