code: def forward(self, pred, gold, raw, col_names):
      gold = F.avg_pool1d(
          gold,
          self.smooth_win,
          stride=1,
          padding="SAME",
          exclusive=False,
      )
      loss = F.mse_loss(pred, gold)
      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 SmoothMSELoss obj's underlying member method code with example usage: obj.forward(pred, gold, raw, col_names) and returns: loss