Use self.config_tester.run_common_tests() (#31431)

* First testing updating config tests

* Use run_common_tests

tests/models/superpoint/test_modeling_superpoint.py

@@ -124,15 +124,16 @@ class SuperPointModelTest(ModelTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = SuperPointModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=SuperPointConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=SuperPointConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["encoder_hidden_sizes", "decoder_hidden_size"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     @unittest.skip(reason="SuperPointForKeypointDetection does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/swin/test_modeling_swin.py

@@ -243,15 +243,16 @@ class SwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = SwinModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=SwinConfig, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=SwinConfig,
+            embed_dim=37,
+            has_text_modality=False,
+            common_properties=["image_size", "patch_size", "num_channels"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/swin2sr/test_modeling_swin2sr.py

@@ -175,15 +175,16 @@ class Swin2SRModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
 
     def setUp(self):
         self.model_tester = Swin2SRModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=Swin2SRConfig, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=Swin2SRConfig,
+            embed_dim=37,
+            has_text_modality=False,
+            common_properties=["image_size", "patch_size", "num_channels"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/swinv2/test_modeling_swinv2.py

@@ -229,15 +229,16 @@ class Swinv2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = Swinv2ModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=Swinv2Config, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=Swinv2Config,
+            embed_dim=37,
+            has_text_modality=False,
+            common_properties=["image_size", "patch_size", "num_channels"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/timm_backbone/test_modeling_timm_backbone.py

@@ -18,7 +18,6 @@ import inspect
 import unittest
 
 from transformers import AutoBackbone
-from transformers.configuration_utils import PretrainedConfig
 from transformers.testing_utils import require_timm, require_torch, torch_device
 from transformers.utils.import_utils import is_torch_available
 
@@ -106,17 +105,15 @@ class TimmBackboneModelTest(ModelTesterMixin, BackboneTesterMixin, PipelineTeste
     has_attentions = False
 
     def setUp(self):
-        self.config_class = PretrainedConfig
+        # self.config_class = PretrainedConfig
+        self.config_class = TimmBackboneConfig
         self.model_tester = TimmBackboneModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=self.config_class, has_text_modality=False)
+        self.config_tester = ConfigTester(
+            self, config_class=self.config_class, has_text_modality=False, common_properties=["num_channels"]
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_timm_transformer_backbone_equivalence(self):
         timm_checkpoint = "resnet18"

tests/models/univnet/test_modeling_univnet.py

@@ -121,20 +121,16 @@ class UnivNetModelTest(ModelTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = UnivNetModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=UnivNetConfig)
+        self.config_tester = ConfigTester(
+            self, config_class=UnivNetConfig, has_text_modality=False, common_properties=["num_mel_bins"]
+        )
 
     @unittest.skip(reason="fix this once it gets more usage")
     def test_multi_gpu_data_parallel_forward(self):
         super().test_multi_gpu_data_parallel_forward()
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_from_and_save_pretrained_subfolder()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/upernet/test_modeling_upernet.py

@@ -161,15 +161,16 @@ class UperNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
 
     def setUp(self):
         self.model_tester = UperNetModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=UperNetConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=UperNetConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["hidden_size"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_for_semantic_segmentation(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/vitmatte/test_modeling_vitmatte.py

@@ -146,15 +146,16 @@ class VitMatteModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
 
     def setUp(self):
         self.model_tester = VitMatteModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=VitMatteConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=VitMatteConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["hidden_size"],
+        )
 
     def test_config(self):
-        self.config_tester.create_and_test_config_to_json_string()
-        self.config_tester.create_and_test_config_to_json_file()
-        self.config_tester.create_and_test_config_from_and_save_pretrained()
-        self.config_tester.create_and_test_config_with_num_labels()
-        self.config_tester.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     @unittest.skip(reason="VitMatte does not use inputs_embeds")
     def test_inputs_embeds(self):