code: def train_dataloader(self):
      return DataLoader(
          dataset=self.train_dataset,
          batch_size=self.batch_size,
          shuffle=True,
          num_workers=self.workers,
          pin_memory=self.pin_memory,
          prefetch_factor=2,
      )
  
file_path: NeuralCompression/projects/illm/open_images_datamodule.py
imports: import logging
  from pathlib import Path
  from typing import Callable, List, Optional
  from default_transforms import default_train_transform, default_val_transform
  from lightning.pytorch import LightningDataModule
  from PIL.Image import Image
  from torch import Tensor
  from torch.utils.data import DataLoader
  from neuralcompression.data import OpenImagesV6
label_desc: Use image node_id 3 for calling the OpenImagesDataModule obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader