code: def test_step(self, batch, batch_idx):
      self.evaluate(batch, "test")
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from pytorch_lightning import LightningModule, Trainer, seed_everything
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  from torch.optim.lr_scheduler import OneCycleLR
  from torchmetrics.functional import accuracy
  from pl_bolts.datamodules import CIFAR10DataModule
  from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
label_desc: Use image node_id 6 for calling the LitResnet obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) without return types