code: def __init__(self, task, encoder, decoder):
      super().__init__(encoder, decoder)
      self.task = task
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from fairseq import utils
  from fairseq.models import FairseqEncoderDecoderModel, FairseqIncrementalDecoder, register_model, register_model_architecture, transformer
  from fairseq.modules import MultiheadAttention
  from pytorch_translate import multilingual_model, transformer, vocab_reduction
  from pytorch_translate.utils import torch_find
label_desc: Use image node_id 1 to create a new HybridTransformerRNNModel object from inherited base classes: FairseqEncoderDecoderModel with example: obj = HybridTransformerRNNModel(task, encoder, decoder)