code: def forward(self, ide_outs, targets, emb_scale, classifier):
      loss_ides = []
      for i, p_ide in enumerate(ide_outs):
          t_conf = targets["tconf{}".format(i)]
          t_ide = targets["tide{}".format(i)]
  
          loss_ide = self.emb_loss(
              p_ide, t_conf, t_ide, emb_scale, classifier
          )
          loss_ides.append(loss_ide)
      return loss_ides
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
label_desc: Use image node_id 3 for calling the JDEEmbeddingLoss obj's underlying member method code with example usage: obj.forward(ide_outs, targets, emb_scale, classifier) and returns: loss_ides