code: def __call__(self, predicts, target=None):
      loss_dict = dict()
      for pairs in self.model_name_pairs:
          p1 = predicts[pairs[0]]
          p2 = predicts[pairs[1]]
  
          loss_dict[pairs[0] + "_" + pairs[1]] = self.kljs_loss(p1, p2)
  
      return loss_dict
  
imports: import paddle
  import paddle.nn.functional
label_desc: Use image node_id 3 for calling the DMLLoss obj's underlying member method code with example usage: obj.__call__(predicts, target) and returns: loss_dict