def METHOD_NAME(data_root: str, semantickitti_root: str):
    val_dataset = SemanticKittiDataset(path=semantickitti_root, split="valid")
    config_file = Path(sys.modules[EfficientLpsLearner.__module__].__file__).parent / 'configs' / 'singlegpu_semantickitti.py'
    learner = EfficientLpsLearner(str(config_file))
    learner.load(path=f'{data_root}/checkpoints/model_semantickitti.pth')
    eval_stats = learner.eval(val_dataset, print_results=True)
    assert eval_stats  # This assert is just a workaround since pyflakes does not support the NOQA comment