code: def semi_supervised_transformer(args):
      base_architecture(args)
      multilingual_model.MultilingualModel.set_multilingual_arch_args(
          args
      )
  
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 2 for calling a global function with example usage: semi_supervised_transformer(args) without return types