code: def get_targets(self, sample, net_output):
      targets = sample["target"].view(-1)
      possible_translation_tokens = net_output[-1]
      if possible_translation_tokens is not None:
          targets = torch_find(
              possible_translation_tokens,
              targets,
              len(self.task.target_dictionary),
          )
      return targets
  
file_path: translate/pytorch_translate/research/knowledge_distillation/hybrid_dual_decoder_kd_model.py
imports: from fairseq.models import FairseqEncoderDecoderModel, register_model, register_model_architecture
  from pytorch_translate import hybrid_transformer_rnn, transformer
  from pytorch_translate.utils import torch_find
label_desc: Use image node_id 6 for calling the HybridDualDecoderKDModel obj's underlying member method code with example usage: obj.get_targets(sample, net_output) and returns: targets