Run tests if skip condition not met (#18764)

* Run tests if skip condition not met

* Update comment - remove outdated ref to TF 2.8

tests/models/convnext/test_modeling_tf_convnext.py

@@ -145,10 +145,10 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
-        pass
+        super().test_keras_fit()
 
     @unittest.skip(reason="ConvNext does not support input and output embeddings")
     def test_model_common_attributes(self):
@@ -176,7 +176,7 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_dataset_conversion(self):
         super().test_dataset_conversion()

tests/models/regnet/test_modeling_tf_regnet.py

@@ -138,10 +138,10 @@ class TFRegNetModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
-        pass
+        super().test_keras_fit()
 
     @unittest.skip(reason="RegNet does not support input and output embeddings")
     def test_model_common_attributes(self):

tests/models/segformer/test_modeling_tf_segformer.py

@@ -332,7 +332,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_dataset_conversion(self):
         super().test_dataset_conversion()
@@ -342,7 +342,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()