code: def __init__(self, args, dictionary, embed_tokens):
      super().__init__(args, dictionary, embed_tokens)
      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 FairseqNATEncoder object from inherited base classes: TransformerEncoder with example: obj = FairseqNATEncoder(args, dictionary, embed_tokens)