code: def main(cfg):
      trainer = pl.Trainer(**cfg.trainer)
      exp_manager(trainer, cfg=cfg.get("exp_manager", None))
      model = SpectrogramEnhancerModel(cfg=cfg.model, trainer=trainer)
      lr_logger = pl.callbacks.LearningRateMonitor()
      trainer.callbacks.extend([lr_logger])
      trainer.fit(model)
  
imports: import pytorch_lightning
  from nemo.collections.tts.models import SpectrogramEnhancerModel
  from nemo.core.config import hydra_runner
  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