code: def setup_model(trainer: Trainer):
      model = ExampleModel(trainer=trainer)
  
      logging.info(f"M.Global Rank:{model.global_rank}")
      logging.info(f"M.Local Rank:{model.local_rank}")
      logging.info(f"M.World Size:{model.trainer.world_size}")
  
      trainer.predict(model)
      return model
  
imports: import os
  import shutil
  import torch
  from omegaconf import OmegaConf
  from pytorch_lightning import Trainer
  from pytorch_lightning.utilities import rank_zero_only
  from nemo.core import ModelPT
  from nemo.utils import logging
  from nemo.utils.exp_manager import ExpManagerConfig, exp_manager
label_desc: Use image node_id 2 for calling a global function with example usage: setup_model(trainer) and returns: model