is-instance check to determine the type of a plugin for teardown deci…

…sion (Lightning-AI#8741)

pytorch_lightning/trainer/trainer.py

@@ -32,7 +32,7 @@
 from pytorch_lightning.loops.dataloader.evaluation_loop import EvaluationLoop
 from pytorch_lightning.loops.dataloader.prediction_loop import PredictionLoop
 from pytorch_lightning.loops.fit_loop import FitLoop
-from pytorch_lightning.plugins import Plugin
+from pytorch_lightning.plugins import DDPSpawnPlugin, Plugin
 from pytorch_lightning.plugins.environments import ClusterEnvironment
 from pytorch_lightning.profiler import (
     AdvancedProfiler,
@@ -76,7 +76,6 @@
 )
 from pytorch_lightning.utilities.debugging import InternalDebugger
 from pytorch_lightning.utilities.distributed import distributed_available
-from pytorch_lightning.utilities.enums import DistributedType
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from pytorch_lightning.utilities.imports import _fault_tolerant_enabled
 from pytorch_lightning.utilities.model_helpers import is_overridden
@@ -947,7 +946,7 @@ def _run(self, model: "pl.LightningModule") -> Optional[Union[_EVALUATE_OUTPUT,
 
         # teardown if necessary (similar calls for spawn plugins are excluded as they have
         # been included at the end of `new_process` functions)
-        if self._distrib_type not in DistributedType.interactive_compatible_types():
+        if not isinstance(self.training_type_plugin, DDPSpawnPlugin):
             self._call_teardown_hook()
 
         if self.state.status != TrainerStatus.INTERRUPTED: