code: def training_step(self, batch, batch_idx):
      self.log("test", -batch_idx)
      return super().training_step(batch, batch_idx)
  
imports: import re
  from collections import OrderedDict
  from logging import INFO
  from typing import Union
  import pytest
  import torch
  import torch.nn.utils.prune
  from lightning.pytorch import Trainer, seed_everything
  from lightning.pytorch.callbacks import ModelCheckpoint, ModelPruning
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from torch import nn
  from torch.nn import Sequential
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 2 for calling the TestModel obj's underlying member method code with example usage: obj.training_step(batch, batch_idx) and returns: super