text: import options
  import utils
  from trainer import Validator
  
  if __name__ == "__main__":
  
      print("=======================================================")
      print("Evaluate / generate 3D Point Cloud generation model.")
      print("=======================================================")
  
      cfg = options.get_arguments()
      cfg.batchSize = cfg.inputViewN
      # cfg.chunkSize = 50
  
      RESULTS_PATH = f"results/{cfg.model}_{cfg.experiment}"
      utils.make_folder(RESULTS_PATH)
  
      dataloaders = utils.make_data_fixed(cfg)
      test_dataset = dataloaders[1].dataset
  
      model = utils.build_structure_generator(cfg).to(cfg.device)
  
      validator = Validator(cfg, test_dataset) 
  
      hist = validator.eval(model)
      hist.to_csv(f"{RESULTS_PATH}.csv", index=False)
  