docstr: Create Dataloader for the pool of unlabelled examples.
docstr_tok: ["Create","Dataloader","for","the","pool","of","unlabelled","examples","."]
code: def pool_dataloader(self) -> DataLoader:
      """Create Dataloader for the pool of unlabelled examples."""
      return DataLoader(
          self.active_dataset.pool,
          batch_size=self.batch_size,
          num_workers=4,
          shuffle=False,
      )
  
imports: import sys
  import types
  import warnings
  from collections.abc import Sequence
  from typing import Dict, Any, Optional
  import numpy
  import structlog
  import torch
  from pytorch_lightning import Trainer, Callback, LightningDataModule, LightningModule
  from pytorch_lightning.accelerators import CUDAAccelerator
  from torch.utils.data import DataLoader
  from tqdm import tqdm
  from baal.active import ActiveLearningDataset
  from baal.active.heuristics import heuristics
  from baal.modelwrapper import mc_inference
  from baal.utils.cuda_utils import to_cuda
  from baal.utils.iterutils import map_on_tensor
label_desc: Use image node_id 2 for calling the BaaLDataModule obj's underlying member method code with example usage: obj.pool_dataloader() and returns: DataLoader