fix running stage access

Author: awaelchli

tests/models/test_restore.py

@@ -453,7 +453,7 @@ def on_train_start(self):
             # haven't trained with the new loaded model
             dp_model = new_trainer.model
             dp_model.eval()
-            dp_model.module.module.running_stage = RunningStage.EVALUATING
+            new_trainer._running_stage = RunningStage.EVALUATING
 
             dataloader = self.train_dataloader()
             tpipes.run_prediction(self.trainer.lightning_module, dataloader)

tests/overrides/test_data_parallel.py

@@ -1,4 +1,4 @@
-from unittest.mock import MagicMock
+from unittest.mock import MagicMock, Mock
 
 import pytest
 import torch
@@ -103,7 +103,8 @@ def training_step(self, batch, batch_idx):
             return {"loss": loss}
 
     model = TestModel()
-    model.running_stage = RunningStage.TRAINING
+    model.trainer = Mock()
+    model.trainer._running_stage = RunningStage.TRAINING
     batch = torch.rand(2, 32).cuda()
     batch_idx = 0
 
@@ -146,7 +147,8 @@ def training_step(self, batch, batch_idx):
 
     model = TestModel()
     model.to(device)
-    model.running_stage = RunningStage.TRAINING
+    model.trainer = Mock()
+    model.trainer._running_stage = RunningStage.TRAINING
     batch = torch.rand(2, 32).to(device)
     batch_idx = 0