code: def _setup_dataloader_from_config(
      self, cfg: DictConfig, split: str
  ) -> DataLoader:
      dataset_cfg = self._cfg.dataset
      data_dir = dataset_cfg.data_dir
  
      if not os.path.exists(data_dir):
          raise FileNotFoundError(
              f"Data directory is not found at: {data_dir}."
          )
  
      dataset = DialogueGPTClassificationDataset(
          dataset_split=split,
          dialogues_processor=self.dialogues_processor,
          tokenizer=self.dialogues_processor._tokenizer,
          cfg=dataset_cfg,
      )
  
      dl = torch.utils.data.DataLoader(
          dataset=dataset,
          batch_size=cfg.batch_size,
          collate_fn=dataset.collate_fn,
          drop_last=cfg.drop_last,
          shuffle=cfg.shuffle,
          num_workers=cfg.num_workers,
          pin_memory=cfg.pin_memory,
      )
      return dl
  
imports: import collections
  import copy
  import os
  import random
  from typing import Dict, Optional, Union
  import numpy
  import torch
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from torch.utils.data import DataLoader
  from transformers import AutoModelWithLMHead
  from nemo.collections.nlp.data.dialogue import DialogueGPTClassificationDataset, DialogueSGDDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.assistant_data_processor import DialogueAssistantDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.design_data_processor import DialogueDesignDataProcessor
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  from nemo.collections.nlp.metrics.dialogue_metrics import DialogueClassificationMetrics
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_model import MegatronGPTModel
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_prompt_learning_model import MegatronGPTPromptLearningModel
  from nemo.collections.nlp.models.nlp_model import NLPModel
  from nemo.collections.nlp.modules.common import VirtualPromptSource, VirtualPromptStyle
  from nemo.collections.nlp.modules.common.text_generation_utils import get_default_sampling_params, megatron_gpt_generate
  from nemo.collections.nlp.modules.common.transformer.text_generation import LengthParam
  from nemo.collections.nlp.parts.nlp_overrides import NLPSaveRestoreConnector
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging
label_desc: Use image node_id 32 for calling the DialogueGPTClassificationModel obj's underlying member method code with example usage: obj._setup_dataloader_from_config(cfg, split) and returns: dl