Skip tests properly (#31308)

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

tests/models/data2vec/test_modeling_data2vec_audio.py

@@ -426,22 +426,19 @@ class Data2VecAudioModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         self.model_tester.check_labels_out_of_vocab(*config_and_inputs)
 
-    # Data2VecAudio has no inputs_embeds
+    @unittest.skip(reason="Data2VecAudio has no inputs_embeds")
     def test_inputs_embeds(self):
         pass
 
-    # `input_ids` is renamed to `input_values`
+    @unittest.skip(reason="`input_ids` is renamed to `input_values`")
     def test_forward_signature(self):
         pass
 
-    # Data2VecAudio cannot resize token embeddings
-    # since it has no tokens embeddings
+    @unittest.skip(reason="Data2VecAudio has no tokens embeddings")
     def test_resize_tokens_embeddings(self):
         pass
 
-    # Data2VecAudio has no inputs_embeds
-    # and thus the `get_input_embeddings` fn
-    # is not implemented
+    @unittest.skip(reason="Data2VecAudio has no inputs_embeds")
     def test_model_get_set_embeddings(self):
         pass
 

tests/models/data2vec/test_modeling_data2vec_vision.py

@@ -196,8 +196,8 @@ class Data2VecVisionModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
     def test_config(self):
         self.config_tester.run_common_tests()
 
+    @unittest.skip(reason="Data2VecVision does not use inputs_embeds")
     def test_inputs_embeds(self):
-        # Data2VecVision does not use inputs_embeds
         pass
 
     @require_torch_multi_gpu
@@ -226,7 +226,7 @@ class Data2VecVisionModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
 
     def test_training(self):
         if not self.model_tester.is_training:
-            return
+            self.skipTest(reason="model_tester.is_training is set to False")
 
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
         config.return_dict = True
@@ -245,7 +245,7 @@ class Data2VecVisionModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
     def test_training_gradient_checkpointing(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
         if not self.model_tester.is_training:
-            return
+            self.skipTest(reason="model_tester.is_training is set to False")
 
         config.use_cache = False
         config.return_dict = True