code: def val_dataloader(self):
      dataset = OnesDataset(10)
      return torch.utils.data.DataLoader(
          dataset, batch_size=2, num_workers=4
      )
  
imports: import os
  import shutil
  import pytest
  import torch
  from omegaconf import OmegaConf
  from pytorch_lightning import Trainer
  from nemo.core import ModelPT
  from nemo.utils import logging
  from nemo.utils.exp_manager import CallbackParams, ExpManagerConfig, StatelessTimer, exp_manager
label_desc: Use image node_id 3 for calling the ExampleModel obj's underlying member method code with example usage: obj.val_dataloader() and returns: torch