code: def __init__(
      self, args, dictionary, embed_tokens, no_encoder_attn=False
  ):
      super().__init__(args, dictionary, embed_tokens, no_encoder_attn)
      self.ensemble_models = None
  
imports: import math
  import torch
  from fairseq.models.transformer import TransformerDecoder, TransformerEncoder, TransformerModel
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
label_desc: Use image node_id 1 to create a new FairseqNATDecoder object from inherited base classes: TransformerDecoder with example: obj = FairseqNATDecoder(args, dictionary, embed_tokens, no_encoder_attn)