code: def _setup_dataloader_from_config(self, cfg: DictConfig):
      input_file = f"{self.data_dir}/{cfg.prefix}.tsv"
      slot_file = f"{self.data_dir}/{cfg.prefix}_slots.tsv"
  
      if not (os.path.exists(input_file) and os.path.exists(slot_file)):
          raise FileNotFoundError(
              f"{input_file} or {slot_file} not found. Please refer to the documentation for the right format \
                   of Intents and Slots files."
          )
  
      dataset = IntentSlotClassificationDataset(
          input_file=input_file,
          slot_file=slot_file,
          tokenizer=self.tokenizer,
          max_seq_length=self.max_seq_length,
          num_samples=cfg.num_samples,
          pad_label=self.cfg.data_desc.pad_label,
          ignore_extra_tokens=self.cfg.ignore_extra_tokens,
          ignore_start_end=self.cfg.ignore_start_end,
      )
  
      return DataLoader(
          dataset=dataset,
          batch_size=cfg.batch_size,
          shuffle=cfg.shuffle,
          num_workers=cfg.num_workers,
          pin_memory=cfg.pin_memory,
          drop_last=cfg.drop_last,
          collate_fn=dataset.collate_fn,
      )
  
imports: import os
  import pathlib
  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.intent_slot_classification import IntentSlotClassificationDataset, IntentSlotDataDesc, IntentSlotInferenceDataset
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  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 17 for calling the IntentSlotClassificationModel obj's underlying member method code with example usage: obj._setup_dataloader_from_config(cfg) and returns: DataLoader