code: def step(self, closure=None):
      for group in self.param_groups:
          group["count"] += 1
      super().step(closure)
  
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 2 for calling the OptCounter obj's underlying member method code with example usage: obj.step(closure) without return types