code: def training_step(self, *args, **kwargs):
      assert self.trainer.log_dir == self.expected_log_dir
      return super().training_step(*args, **kwargs)
  
file_path: pytorch-lightning/tests/tests_pytorch/trainer/properties/test_log_dir.py
imports: import pytest
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import ModelCheckpoint
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loggers import CSVLogger, TensorBoardLogger
label_desc: Use image node_id 2 for calling the TestModel obj's underlying member method code with example usage: obj.training_step() and returns: super