code: def __init__(self, *args, **kwargs):
      cfg = OmegaConf.structured({})
      super().__init__(cfg, trainer=kwargs.get("trainer", None))
      # dummy parameter in order to allow DDP to execute
      self.l1 = torch.nn.modules.Linear(in_features=2, out_features=1)
  
imports: import os
  import shutil
  import pytest
  import torch
  from omegaconf import OmegaConf
  from pytorch_lightning import Trainer
  from nemo.core import ModelPT
  from nemo.utils import logging
  from nemo.utils.exp_manager import CallbackParams, ExpManagerConfig, StatelessTimer, exp_manager
label_desc: Use image node_id 1 to create a new ExampleModel object from inherited base classes: ModelPT with example: obj = ExampleModel()