code: def __init__(self, task, encoder, teacher_decoder, student_decoder):
      super().__init__(encoder, student_decoder)
      self.teacher_decoder = teacher_decoder
      self.student_decoder = student_decoder
      self.using_teacher = True
      self.task = task
  
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 1 to create a new HybridDualDecoderKDModel object from inherited base classes: FairseqEncoderDecoderModel with example: obj = HybridDualDecoderKDModel(task, encoder, teacher_decoder, student_decoder)