code: def configure_optimizers(self):
      optimizer = nni.trace(torch.optim.Adam)(
          self.parameters(), lr=0.001
      )
      scheduler_dict = {
          "scheduler": nni.trace(torch.optim.lr_scheduler.LambdaLR)(
              optimizer, lr_lambda=lambda epoch: 1 / epoch
          ),
          "interval": "epoch",
      }
      return {"optimizer": optimizer, "lr_scheduler": scheduler_dict}
  
file_path: nni/examples/compression/evaluator/lightning_evaluator.py
imports: import pytorch_lightning
  from pytorch_lightning.loggers import TensorBoardLogger
  import torch
  from torchmetrics.functional import accuracy
  import nni
  from examples.compression.models import build_resnet18
  from nni.compression import LightningEvaluator
label_desc: Use image node_id 6 for calling the MyModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: dict