code: def teardown(self, stage):
      if stage == "fit":
          nni.report_final_result(self._get_validation_metrics())
  
imports: import warnings
  from typing import Dict, List, Optional, Union, Type
  import torch.nn
  import torch.optim
  import torchmetrics
  from torch.utils.data import DataLoader
  import nni
  from ..lightning import LightningModule, _AccuracyWithLogits, Lightning
  from .trainer import Trainer
label_desc: Use image node_id 9 for calling the _MultiModelSupervisedLearningModule obj's underlying member method code with example usage: obj.teardown(stage) without return types