code: def configure_optimizers(self):
      return torch.optim.Adam(self.parameters(), lr=0.02)
  
file_path: labml/samples/lightning/mnist.py
imports: import pytorch_lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader
  from torchvision import transforms
  from torchvision.datasets import MNIST
  from labml import lab, experiment
  from labml.utils.lightning import LabMLLightningLogger
label_desc: Use image node_id 4 for calling the MNISTModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch