code: def __init__(self, speech_enc, text_enc_layers, text_layer_norm):
      super().__init__(None)
      self.speech_encoder = speech_enc
      self.text_encoder_layers = text_enc_layers
      self.final_layer_norm = text_layer_norm
  
file_path: fairseq/fairseq/models/speech_to_text/s2t_wav_transformer.py
imports: import math
  import torch
  import torch.nn
  from fairseq.data.data_utils import compute_mask_indices
  from fairseq.models import FairseqEncoder
  from fairseq.models.wav2vec import ConvFeatureExtractionModel
  from fairseq.modules import GradMultiply, LayerNorm, SamePad, TransformerEncoderLayer
label_desc: Use image node_id 1 to create a new StackedSpeechWavTransformerEncoder object from inherited base classes: FairseqEncoder with example: obj = StackedSpeechWavTransformerEncoder(speech_enc, text_enc_layers, text_layer_norm)