code: def build_speech_encoder(cls, args):
      model_args = cls.update_transformer_encoder_cfg(
          args, {"encoder_layers": args.speech_encoder_layers}
      )
      speech_encoder = SpeechWavTransformerEncoder(model_args)
      return speech_encoder
  
imports: import logging
  from collections import OrderedDict, namedtuple
  import torch.nn
  from fairseq import checkpoint_utils, utils
  from fairseq.checkpoint_utils import load_checkpoint_to_cpu
  from fairseq.file_io import PathManager
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.speech_to_text import SpeechWavTransformerEncoder, StackedSpeechWavTransformerEncoder, TransformerDecoder
  from fairseq.models.transformer import TransformerEncoder
  from .s2t_dualinputtransformer import DualInputEncoder, DualInputS2TTransformerModel, TransformerMultiInputDecoder
label_desc: Use image node_id 5 for calling the DualInputWavTransformerModel obj's underlying member method code with example usage: obj.build_speech_encoder(cls, args) and returns: speech_encoder