code: def test_step(self, batch, batch_idx):
      x, y = batch
      logits = self.forward(x)
      loss = F.cross_entropy(logits, y)
      self.test_acc(torch.argmax(logits, dim=1), y)
      self.log("test_loss", loss)
      self.log("test_acc", self.test_acc.compute())
  
file_path: mlflow/examples/pytorch/AxHyperOptimizationPTL/iris.py
imports: import pytorch_lightning
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 6 for calling the IrisClassification obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) without return types