code: def configure_optimizers(self):
      self.my_opt = OptCounter(self.parameters(), lr=0.02)
      return self.my_opt
  
imports: import math
  import random
  import omegaconf
  import pytest
  import pytorch_lightning
  import torch
  import torch.optim
  from pytorch_lightning.utilities import rank_zero_only
  from nemo.core import config, optim
  from nemo.core.optim.lr_scheduler import AVAILABLE_SCHEDULERS
  from nemo.core.optim.optimizers import AVAILABLE_OPTIMIZERS
  from nemo.utils import logging
label_desc: Use image node_id 4 for calling the ExampleModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: self