code: def test_dataloader(self):
      test_dataset = MNIST(
          "./data",
          train=False,
          download=False,
          transform=self.transform,
      )
      return torch.utils.data.DataLoader(
          test_dataset, batch_size=self.hparams.batch_size
      )
  
imports: import sys
  import torch
  import torchvision.transforms
  from torch.nn import functional
  import torch.nn
  from torchmetrics import Accuracy
  from torchvision.datasets.mnist import MNIST
  from pytorch_lightning import LightningModule
  from clearml import Task
label_desc: Use image node_id 9 for calling the ImageClassifier obj's underlying member method code with example usage: obj.test_dataloader() and returns: torch