code: def setup(self, stage=None):
      self.mnist_train = MNIST(
          self.data_dir, train=True, transform=self.transform
      )
      self.mnist_val = MNIST(
          self.data_dir, train=False, transform=self.transform
      )
  
imports: import argparse
  import logging
  import os
  import time
  import warnings
  import torch
  from pytorch_lightning import LightningModule, loggers, Trainer
  from torch import nn
  from torch.nn import functional
  from torch.utils.data import DataLoader
  from torchmetrics.functional.classification.accuracy import multiclass_accuracy
  from torchvision import transforms
  from torchvision.datasets import MNIST
label_desc: Use image node_id 7 for calling the MnistModel obj's underlying member method code with example usage: obj.setup(stage) without return types