Remove leftover clean_logger call in tests (#11080)

Author: awaelchli

tests/plugins/test_tpu_spawn.py

@@ -20,7 +20,6 @@
 from torch.utils.data import DataLoader
 
 from pytorch_lightning import Trainer
-from pytorch_lightning.loggers import LoggerCollection, TensorBoardLogger
 from pytorch_lightning.plugins.training_type import TPUSpawnPlugin
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.helpers.boring_model import BoringModel, RandomDataset
@@ -103,18 +102,3 @@ def test_model_tpu_one_core():
     model = BoringModelTPU()
     trainer.fit(model)
     assert "PT_XLA_DEBUG" not in os.environ
-
-
-@RunIf(tpu=True)
-@pytest.mark.parametrize("use_list", [False, True])
-def test_tensorboard_ddp_spawn_cleanup(use_list, tmpdir):
-    tensorboard_logger = TensorBoardLogger(save_dir=tmpdir)
-    assert tensorboard_logger._experiment is None
-    tensorboard_logger.experiment  # this property access will create the experiment
-    assert tensorboard_logger._experiment is not None
-    logger = [tensorboard_logger] if use_list else tensorboard_logger
-    trainer = Trainer(strategy="ddp_spawn", accelerator="tpu", devices="auto", logger=logger)
-    trainer.training_type_plugin._clean_logger(trainer)
-    if use_list:
-        assert isinstance(trainer.logger, LoggerCollection)
-    assert tensorboard_logger._experiment is None