def test_log_dir_no_logger(tmp_path):
    """Tests that the path is correct even when there is no logger."""
    expected = str(tmp_path)
    model = TestModel(expected)

    trainer = Trainer(
        default_root_dir=tmp_path, max_steps=2, logger=False, callbacks=[ModelCheckpoint(dirpath=tmp_path)]
    )

    assert trainer.log_dir == expected
    trainer.fit(model)
    assert trainer.log_dir == expected
Tests that the path is correct even when there is no logger.
tests/tests_pytorch/trainer/properties/test_log_dir.py