code: def test_dataloader(self):
      return DataLoader(self.mnist_test, batch_size=self.batch_size)
  
imports: import math
  import os
  import torch
  from filelock import FileLock
  import pytorch_lightning
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchmetrics import Accuracy
  from torchvision import transforms
  from torchvision.datasets import MNIST
  from ray.tune.integration.pytorch_lightning import TuneReportCheckpointCallback
  from ray import train, tune
label_desc: Use image node_id 6 for calling the MNISTDataModule obj's underlying member method code with example usage: obj.test_dataloader() and returns: DataLoader