code: def forward(self, pred, gold, raw, col_names):
      loss = F.smooth_l1_loss(
          pred, gold, reduction="mean", delta=self.delta
      )
      return loss
  
imports: import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
label_desc: Use image node_id 2 for calling the HuberLoss obj's underlying member method code with example usage: obj.forward(pred, gold, raw, col_names) and returns: loss