code: def mask_unused_subword_slots(self, slot_preds, subtokens_mask):
      # Retrieve intent and slot vocabularies from configuration.
      slot_labels = self.cfg.data_desc.slot_labels
      predicted_slots = []
      for slot_preds_query, mask_query in zip(
          slot_preds, subtokens_mask
      ):
          query_slots = ""
          for slot, mask in zip(slot_preds_query, mask_query):
              if mask == 1:
                  # if slot < len(slot_labels):
                  query_slots += slot_labels[int(slot)] + " "
                  # else:
                  #     query_slots += 'Unknown_slot '
          predicted_slots.append(query_slots.strip())
      return predicted_slots
  
imports: import os
  from typing import Dict, List, Optional
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Trainer
  from torch.utils.data import DataLoader
  from nemo.collections.common.losses import AggregatorLoss, CrossEntropyLoss
  from nemo.collections.nlp.data.dialogue.data_processor.assistant_data_processor import DialogueAssistantDataProcessor
  from nemo.collections.nlp.data.dialogue.dataset.dialogue_bert_dataset import DialogueBERTDataset, DialogueIntentSlotInferenceDataset
  from nemo.collections.nlp.data.intent_slot_classification import IntentSlotDataDesc
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  from nemo.collections.nlp.metrics.dialogue_metrics import DialogueClassificationMetrics
  from nemo.collections.nlp.models.nlp_model import NLPModel
  from nemo.collections.nlp.modules.common import SequenceTokenClassifier
  from nemo.collections.nlp.parts.utils_funcs import tensor2list
  from nemo.core.classes import typecheck
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging
label_desc: Use image node_id 25 for calling the IntentSlotClassificationModel obj's underlying member method code with example usage: obj.mask_unused_subword_slots(slot_preds, subtokens_mask) and returns: predicted_slots