code: def setup_model(self):
      # Stateless timer for 3 seconds.
      # Max steps shouldn't matter for it should stop in 3 seconds based on the timer.
      # Val check interval makes sure a checkpoint is written and can be restored from.
      callback_params = CallbackParams()
      callback_params.monitor = "val_loss"
      callback_params.save_top_k = 1
      trainer = Trainer(
          devices=1,
          val_check_interval=5,
          max_steps=10000,
          accelerator="gpu",
          strategy="ddp",
          logger=False,
          enable_checkpointing=False,
      )
      exp_manager_cfg = ExpManagerConfig(
          explicit_log_dir="./ptl_stateless_timer_check/",
          use_datetime_version=False,
          version="",
          resume_ignore_no_checkpoint=True,
          create_checkpoint_callback=True,
          checkpoint_callback_params=callback_params,
          resume_if_exists=True,
          max_time_per_run="00:00:00:03",
      )
      exp_manager(trainer, cfg=OmegaConf.structured(exp_manager_cfg))
      model = ExampleModel(trainer=trainer)
      trainer.fit(model)
      return trainer
  
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 for calling the TestStatelessTimer obj's underlying member method code with example usage: obj.setup_model() and returns: trainer