code: def build_speech_encoder(cls, args):
      model_args = cls.update_transformer_encoder_cfg(
          args,
          {
              "encoder_layers": args.speech_encoder_layers,
              "speech_mask_prob": args.speech_sup_mask_prob,
          },
      )
      speech_encoder = SpeechWavTransformerEncoder(model_args)
      return speech_encoder
  
imports: import logging
  from collections import OrderedDict, namedtuple
  from typing import Dict, Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from fairseq import checkpoint_utils, utils
  from fairseq.file_io import PathManager
  from fairseq.models import FairseqDecoder, FairseqEncoderDecoderModel, register_model, register_model_architecture
  from fairseq.models.speech_to_text import MultiInputDecoder, MultiModalityEncoder, SpeechWavTransformerEncoder, StackedSpeechWavTransformerEncoder
  from fairseq.models.transformer import TransformerDecoder, TransformerEncoder, TransformerModel
label_desc: Use image node_id 4 for calling the SpeechTextPreTrainEncoder obj's underlying member method code with example usage: obj.build_speech_encoder(cls, args) and returns: speech_encoder