code: def configure_optimizers(self):
      optimizer = optim.Adam(self.parameters(), lr=1e-3)
      return optimizer
  
file_path: aim/examples/pytorch_lightning_track.py
imports: import os
  import lightning.pytorch
  from aim.pytorch_lightning import AimLogger
  from torch import nn, optim, utils
  from torchvision.datasets import MNIST
  from torchvision.transforms import ToTensor
label_desc: Use image node_id 4 for calling the LitAutoEncoder obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer