diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py
index f79cdb1a..c767028b 100644
--- a/pytorch_lightning/trainer/trainer.py
+++ b/pytorch_lightning/trainer/trainer.py
@@ -639,7 +639,7 @@ class Trainer(TrainerIO):
         # call warnings from proc zero only which triggers dataloaders
         # if those have to download data it will only happen on proc 0
         if self.proc_rank == 0:
-            if self.use_ddp or self.use_ddp2 and not isinstance(self.get_train_dataloader().sampler, DistributedSampler):
+            if (self.use_ddp or self.use_ddp2) and not isinstance(self.get_train_dataloader().sampler, DistributedSampler):
                 msg = """
                 You're using multiple gpus and multiple nodes without using a DistributedSampler
                 to assign a subset of your data to each process. To silence this warning, pass a
@@ -658,7 +658,7 @@ class Trainer(TrainerIO):
                 """
                 warnings.warn(msg)
 
-            if self.use_ddp or self.use_ddp2 and self.get_val_dataloaders is not None:
+            if (self.use_ddp or self.use_ddp2) and self.get_val_dataloaders is not None:
                 for dataloader in self.get_val_dataloaders():
                     if not isinstance(dataloader.sampler, DistributedSampler):
                         msg = """
@@ -681,7 +681,7 @@ class Trainer(TrainerIO):
                         warnings.warn(msg)
                         break
 
-            if self.use_ddp or self.use_ddp2 and self.get_test_dataloaders is not None:
+            if (self.use_ddp or self.use_ddp2) and self.get_test_dataloaders is not None:
                 for dataloader in self.get_test_dataloaders():
                     if not isinstance(dataloader.sampler, DistributedSampler):
                         msg = """