default sched (#6062)

pytorch_lightning/plugins/training_type/deepspeed.py

@@ -26,6 +26,7 @@
 from pytorch_lightning.overrides.base import _LightningModuleWrapperBase
 from pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment
 from pytorch_lightning.plugins.training_type.ddp import DDPPlugin
+from pytorch_lightning.trainer.optimizers import _get_default_scheduler_config
 from pytorch_lightning.utilities import AMPType
 from pytorch_lightning.utilities.apply_func import apply_to_collection
 from pytorch_lightning.utilities.distributed import rank_zero_info, rank_zero_only
@@ -240,16 +241,8 @@ def _initialize_deepspeed_inference(self, model):
         )
 
     def configure_scheduler(self, lr_scheduler):
-        # this duplicates the defaults from init_optimizers
-        scheduler = {
-            'scheduler': lr_scheduler,
-            'name': None,  # no custom name
-            'interval': 'epoch',  # after epoch is over
-            'frequency': 1,  # every epoch/batch
-            'reduce_on_plateau': False,  # most often not ReduceLROnPlateau scheduler
-            'monitor': None,  # value to monitor for ReduceLROnPlateau
-            'strict': True,  # enforce that the monitor exists for ReduceLROnPlateau
-        }
+        scheduler = _get_default_scheduler_config()
+        scheduler["scheduler"] = lr_scheduler
         return [scheduler]
 
     @property