Skip tests properly (#31308)

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

tests/models/t5/test_modeling_t5.py

@@ -596,7 +596,7 @@ class T5ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
 
     def _create_and_check_torch_fx_tracing(self, config, inputs_dict, output_loss=False):
         if not is_torch_fx_available() or not self.fx_compatible:
-            return
+            self.skipTest(reason="torch.fx is not available or not compatible with this model")
 
         configs_no_init = _config_zero_init(config)  # To be sure we have no Nan
         configs_no_init.return_dict = False
@@ -840,7 +840,7 @@ class T5ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
         model = T5Model.from_pretrained(model_name)
         self.assertIsNotNone(model)
 
-    @unittest.skip("Test has a segmentation fault on torch 1.8.0")
+    @unittest.skip(reason="Test has a segmentation fault on torch 1.8.0")
     def test_export_to_onnx(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()
         model = T5Model(config_and_inputs[0]).to(torch_device)

tests/models/t5/test_tokenization_t5.py

@@ -153,7 +153,7 @@ class T5TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
 
     def test_rust_and_python_full_tokenizers(self):
         if not self.test_rust_tokenizer:
-            return
+            self.skipTest(reason="test_rust_tokenizer is set to False")
 
         tokenizer = self.get_tokenizer()
         rust_tokenizer = self.get_rust_tokenizer()