class_docstr: Parameter for scaling the regression outputs.
code: def forward(self, inputs):
      out = inputs * self.scale_reg
      return out
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn.initializer import Normal, Constant
  from ppdet.core.workspace import register
  from ppdet.modeling.bbox_utils import distance2bbox, bbox2distance, batch_distance2bbox
  from ppdet.data.transform.atss_assigner import bbox_overlaps
label_desc: Use image node_id 2 for calling the ScaleReg obj's underlying member method code with example usage: obj.forward(inputs) and returns: out