added test for no dist sampler

pytorch_lightning/models/trainer.py

@@ -369,7 +369,7 @@ class Trainer(TrainerIO):
 
         return val_results
 
-    def __get_dataloaders(self, model):
+    def get_dataloaders(self, model):
         """
         Dataloaders are provided by the model
         :param model:
@@ -591,7 +591,7 @@ class Trainer(TrainerIO):
         ref_model.on_gpu = self.on_gpu
 
         # transfer data loaders from model
-        self.__get_dataloaders(ref_model)
+        self.get_dataloaders(ref_model)
 
         # init training constants
         self.__layout_bookeeping()

tests/test_models.py

@@ -37,7 +37,7 @@ def test_ddp_sampler_error():
     hparams = get_hparams()
     model = LightningTestModel(hparams, force_remove_distributed_sampler=True)
 
-    trainer_options = dict(
+    trainer = Trainer(
         progress_bar=False,
         max_nb_epochs=1,
         gpus=[0, 1],
@@ -46,7 +46,7 @@ def test_ddp_sampler_error():
     )
 
     with pytest.raises(MisconfigurationException):
-        run_gpu_model_test(trainer_options, model, hparams)
+        trainer.get_dataloaders(model)
 
 
 def test_cpu_model():