code: def instantiate_multinode_ddp_if_possible():
      num_gpus = torch.cuda.device_count()
      ## Change logger=None to logger=False to support PTL 2.0
      trainer = Trainer(
          devices=num_gpus,
          accelerator="gpu",
          strategy="ddp",
          logger=False,
          enable_checkpointing=False,
      )
      exp_manager_cfg = ExpManagerConfig(
          exp_dir="./ddp_check/", use_datetime_version=False, version=""
      )
      exp_manager(trainer, cfg=OmegaConf.structured(exp_manager_cfg))
      return trainer
  
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 1 for calling a global function with example usage: instantiate_multinode_ddp_if_possible() and returns: trainer