code: def load_target_dictionary(self):
      if self.cfg.labels:
          target_dictionary = self.cfg.data
          if self.cfg.target_dictionary:  # override dict
              target_dictionary = self.cfg.target_dictionary
          dict_path = os.path.join(
              target_dictionary, f"dict.{self.cfg.labels}.txt"
          )
          logger.info("Using dict_path : {}".format(dict_path))
          return Dictionary.load(dict_path)
      return None
  
imports: import logging
  import os
  from fairseq.data.multi_corpus_dataset import MultiCorpusDataset
  import torch
  import json
  from argparse import Namespace
  from dataclasses import dataclass, field
  from typing import Optional, Any, OrderedDict
  from fairseq.data import AddTargetDataset, Dictionary, encoders
  from fairseq.tasks.audio_pretraining import AudioPretrainingTask, AudioPretrainingConfig
  from fairseq.dataclass import FairseqDataclass
  from fairseq.dataclass.configs import GenerationConfig
  from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
  from .None import register_task
  from ..None import utils
  from ..logging import metrics
label_desc: Use image node_id 2 for calling the AudioFinetuningTask obj's underlying member method code with example usage: obj.load_target_dictionary() and returns: None, Dictionary