code: def train_dataloader(self):
      return DataLoader(self.train_dataset, batch_size=self.batch_size)
  
imports: import json
  from glob import glob
  import os
  import torch
  from torch.nn import functional
  from torch import nn
  from pytorch_lightning.core.lightning import LightningModule
  from pytorch_lightning import Trainer
  from torch.optim import Adam
  from torch.utils.data import DataLoader, random_split, Subset
  from torch.utils.data.dataset import Dataset
  from torchvision.datasets import MNIST
  from torchvision import transforms
  import pytest
  import urllib
  from keepsake.pl_callback import KeepsakeCallback
label_desc: Use image node_id 5 for calling the ModelNoValidation obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader