docstr: :return: output - Test data loader for the given input
docstr_tok: [":","return",":","output","-","Test","data","loader","for","the","given","input"]
code: def test_dataloader(self):
      """
      :return: output - Test data loader for the given input
      """
      return self.create_data_loader(self.df_test)
  
imports: import lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchmetrics.functional import accuracy
  from torchvision import datasets, transforms
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: self