code: def train_dataloader(self):
      dataset = MNIST(
          os.getcwd(),
          train=True,
          download=True,
          transform=transforms.ToTensor(),
      )
      return DataLoader(
          dataset, batch_size=32, num_workers=4, shuffle=True
      )
  
file_path: fastai/nbs/examples/migrating_lightning.py
imports: from fastai.data.load import DataLoader
  import os, torch
  from torch.nn import functional
  from torchvision.datasets import MNIST
  from torchvision import transforms
  from lightning import LightningModule
label_desc: Use image node_id 5 for calling the LitModel obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader