code: def configure_optimizers(self):
      optimizer = torch.optim.Adam(
          self.parameters(), lr=self.learning_rate
      )
      return optimizer
  
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 5 for calling the MnistModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer