code: def forward(self, inputs):
      out = paddle.exp(-self.loss_param) * inputs + self.loss_param
      return out * 0.5
  
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 2 for calling the LossParam obj's underlying member method code with example usage: obj.forward(inputs) and returns: unknown