code: def configure_optimizers(self):
      optimizer = torch.optim.Adam(self.parameters(), lr=0.01)
      return [optimizer], []
  
imports: import operator
  import torch
  import torch.nn.functional
  from lightning.pytorch import LightningModule
  from lightning_utilities.core.imports import compare_version
  from torch import nn
  from torchmetrics import Accuracy, MeanSquaredError
label_desc: Use image node_id 3 for calling the RegressionModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list