code: def forward(
      self,
      src_tokens,
      src_lengths=None,
      mode="",
      alignment=None,
      **kwargs,
  ):
      return super().forward(src_tokens, src_lengths, mode, **kwargs)
  
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 10 for calling the SpeechTextPreTrainEncoder obj's underlying member method code with example usage: obj.forward(src_tokens, src_lengths, mode, alignment) and returns: super