code: def load_target_dictionary(self):
      if self.cfg.labels:
          dict_path = os.path.join(
              self.cfg.data, f"dict.{self.cfg.labels}.txt"
          )
          return Dictionary.load(dict_path)
      return None
  
imports: import logging
  import os
  import torch
  import json
  from argparse import Namespace
  from dataclasses import dataclass, field
  from typing import Optional, Any
  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 NLUFinetuningTask obj's underlying member method code with example usage: obj.load_target_dictionary() and returns: None, Dictionary