code: def main(cfg):
      logging.info(f"Hydra config: {OmegaConf.to_yaml(cfg)}")
      trainer = pl.Trainer(**cfg.trainer)
      exp_manager(trainer, cfg.get("exp_manager", None))
      msdd_model = EncDecDiarLabelModel(cfg=cfg.model, trainer=trainer)
      trainer.fit(msdd_model)
  
imports: import pytorch_lightning
  from omegaconf import OmegaConf
  from pytorch_lightning import seed_everything
  from nemo.collections.asr.models import EncDecDiarLabelModel
  from nemo.core.config import hydra_runner
  from nemo.utils import logging
  from nemo.utils.exp_manager import exp_manager
label_desc: Use image node_id 1 for calling a global function with example usage: main(cfg) without return types