code: def test_step(self, batch, batch_idx):
      x, y = batch
      logits = self.forward(x)
      loss = F.nll_loss(logits, y.long())
      self.test_acc(logits, y)
      self.log("test_acc", self.test_acc)
      self.log("test_loss", loss)
  
imports: import sys
  import torch
  import torchvision.transforms
  from torch.nn import functional
  import torch.nn
  from torchmetrics import Accuracy
  from torchvision.datasets.mnist import MNIST
  from pytorch_lightning import LightningModule
  from clearml import Task
label_desc: Use image node_id 4 for calling the ImageClassifier obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) without return types