Fix/test pass overrides

pytorch_lightning/trainer/evaluation_loop.py

@@ -288,7 +288,7 @@ def evaluate(self, model, dataloaders, max_batches, test=False):
 
     def run_evaluation(self, test=False):
         # when testing make sure user defined a test step
-        if test and not (self.is_overriden('test_step') and self.is_overriden('test_end')):
+        if test and not (self.is_overriden('test_step') or self.is_overriden('test_end')):
             m = '''You called `.test()` without defining model's `.test_step()` or `.test_end()`.
                     Please define and try again'''
             raise MisconfigurationException(m)

tests/test_trainer.py

@@ -762,5 +762,39 @@ def test_trainer_min_steps_and_epochs(tmpdir):
         trainer.current_epoch > 0, "Model did not train for at least min_steps"
 
 
+def test_testpass_overrides(tmpdir):
+    hparams = tutils.get_hparams()
+    from pytorch_lightning.utilities.debugging import MisconfigurationException
+
+    class TestModelNoEnd(LightningTestModelBase):
+        def test_step(self, *args, **kwargs):
+            return {}
+
+        def test_dataloader(self):
+            return self.train_dataloader()
+
+    class TestModelNoStep(LightningTestModelBase):
+        def test_end(self, outputs):
+            return {}
+
+        def test_dataloader(self):
+            return self.train_dataloader()
+
+    # Misconfig when neither test_step or test_end is implemented
+    with pytest.raises(MisconfigurationException):
+        model = LightningTestModelBase(hparams)
+        Trainer().test(model)
+
+    # No exceptions when one or both of test_step or test_end are implemented
+    model = TestModelNoStep(hparams)
+    Trainer().test(model)
+
+    model = TestModelNoEnd(hparams)
+    Trainer().test(model)
+
+    model = LightningTestModel(hparams)
+    Trainer().test(model)
+
+
 # if __name__ == '__main__':
 #     pytest.main([__file__])