code: def build_encoder(
      cls, args, src_dict, embed_tokens, proj_to_decoder=False
  ):
      return pytorch_translate_transformer.TransformerEncoder(
          args, src_dict, embed_tokens, proj_to_decoder=False
      )
  
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 5 for calling the HybridTransformerRNNModel obj's underlying member method code with example usage: obj.build_encoder(cls, args, src_dict, embed_tokens, proj_to_decoder) and returns: pytorch_translate_transformer