class_docstr: L1Loss on thresh, DiceLoss on thresh_binary and binary.
code: def forward(self, pred, batch):
      dice_loss, metrics = self.dice_loss(pred, batch)
      l1_loss, l1_metric = self.l1_loss(
          pred["thresh"], batch["thresh_map"], batch["thresh_mask"]
      )
  
      loss = dice_loss + self.l1_scale * l1_loss
      metrics.update(**l1_metric)
      return loss, metrics
  
imports: import sys
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the L1DiceLoss obj's underlying member method code with example usage: obj.forward(pred, batch) and returns: loss,  metrics