code: def __init__(self, *args, **kwargs):
      cfg = OmegaConf.structured({})
      super().__init__(cfg)
      self.l1 = torch.nn.modules.Linear(in_features=32, out_features=32)
      self.bn = torch.nn.BatchNorm1d(32)
  
imports: import os.path
  from typing import Any, Dict, Union
  import pytest
  import pytorch_lightning
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Callback, Trainer
  from pytorch_lightning.utilities.exceptions import MisconfigurationException
  from pytorch_lightning.utilities.types import STEP_OUTPUT
  from nemo.collections.common.callbacks import EMA
  from nemo.collections.common.callbacks.ema import EMAOptimizer
  from nemo.core import ModelPT
  from nemo.utils.exp_manager import exp_manager
label_desc: Use image node_id 1 to create a new ExampleModel object from inherited base classes: ModelPT with example: obj = ExampleModel()