code: def configure_optimizers(self):
      optimizer = torch.optim.Adadelta(
          self.model.parameters(), lr=self.hparams.lr
      )
      return [optimizer], [
          torch.optim.lr_scheduler.StepLR(
              optimizer, step_size=1, gamma=self.hparams.gamma
          )
      ]
  
imports: import sys
  import torch
  import torchvision.transforms
  from torch.nn import functional
  import torch.nn
  from torchmetrics import Accuracy
  from torchvision.datasets.mnist import MNIST
  from pytorch_lightning import LightningModule
  from clearml import Task
label_desc: Use image node_id 5 for calling the ImageClassifier obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list