code: def train_dataloader(self):
      return DataLoader(
          MNIST(root=_PATH_DATASETS, train=True, download=True),
          batch_size=128,
          num_workers=1,
      )
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from lightning.pytorch.core.module import LightningModule
  from torch.utils.data import DataLoader
  from tests_pytorch import _PATH_DATASETS
  from tests_pytorch.helpers.datasets import MNIST, AverageDataset, TrialMNIST
label_desc: Use image node_id 5 for calling the ParityModuleMNIST obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader