code: def __init__(self, init_value=0.0, use_uncertainy=True):
      super(LossParam, self).__init__()
      self.loss_param = self.create_parameter(
          shape=[1],
          attr=ParamAttr(initializer=Constant(value=init_value)),
          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.regularizer import L2Decay
  from ppdet.core.workspace import register
  from paddle.nn.initializer import Normal, Constant
label_desc: Use image node_id 1 to create a new LossParam object from inherited base classes: nn with example: obj = LossParam(init_value, use_uncertainy)