code: def nonautoregressive_transformer_wmt_en_de(args):
      base_architecture(args)
  
imports: import torch
  import torch.nn.functional
  from fairseq import utils
  from fairseq.iterative_refinement_generator import DecoderOut
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.nat import FairseqNATDecoder, FairseqNATModel, ensemble_decoder
  from fairseq.models.transformer import Embedding
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
label_desc: Use image node_id 5 for calling a global function with example usage: nonautoregressive_transformer_wmt_en_de(args) without return types