code: def train_dataloader(self) -> DataLoader:
      loader = DataLoader(
          self.train_dataset,
          batch_size=self.train_batch_size,
          collate_fn=self.train_dataset.collate_fn,
          pin_memory=True,
          num_workers=4,
      )
      return loader
  
file_path: NeMo/examples/multimodal/x_to_nerf/data.py
imports: import pytorch_lightning
  from omegaconf.omegaconf import DictConfig
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the AggregatorDataModule obj's underlying member method code with example usage: obj.train_dataloader() and returns: loader