code: def pool_dataloader(self):
      return DataLoader(
          self.active_dataset.pool,
          self.hparams.batch_size,
          shuffle=False,
          num_workers=4,
      )
  
imports: import argparse
  import copy
  from argparse import Namespace
  import torch
  from experiments.ssl_experiments.pimodel_cifar10 import PIModel
  from torch import nn
  from torch.hub import load_state_dict_from_url
  from torch.utils.data import DataLoader
  from torchvision.datasets import CIFAR10
  from torchvision.models import vgg16
  from baal import ActiveLearningDataset, get_heuristic
  from baal.bayesian.dropout import patch_module
  from baal import ActiveLightningModule, BaalTrainer, ResetCallback
label_desc: Use image node_id 2 for calling the PIActiveLearningModel obj's underlying member method code with example usage: obj.pool_dataloader() and returns: DataLoader