class_docstr: Parameter for scaling the regression outputs.
code: def __init__(self):
      super(ScaleReg, self).__init__()
      self.scale_reg = self.create_parameter(
          shape=[1],
          attr=ParamAttr(initializer=Constant(value=1.0)),
          dtype="float32",
      )
  
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 1 to create a new ScaleReg object from inherited base classes: nn with example: obj = ScaleReg()