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

* First testing updating config tests

* Use run_common_tests

src/transformers/models/align/configuration_align.py

@@ -193,7 +193,7 @@ class AlignVisionConfig(PretrainedConfig):
         hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
             The non-linear activation function (function or string) in each block. If string, `"gelu"`, `"relu"`,
             `"selu", `"gelu_new"`, `"silu"` and `"mish"` are supported.
-        hiddem_dim (`int`, *optional*, defaults to 1280):
+        hidden_dim (`int`, *optional*, defaults to 1280):
             The hidden dimension of the layer before the classification head.
         pooling_type (`str` or `function`, *optional*, defaults to `"mean"`):
             Type of final pooling to be applied before the dense classification head. Available options are [`"mean"`,

src/transformers/models/timm_backbone/configuration_timm_backbone.py

@@ -79,5 +79,5 @@ def __init__(
         self.features_only = features_only
         self.use_pretrained_backbone = use_pretrained_backbone
         self.use_timm_backbone = True
-        self.out_indices = out_indices if out_indices is not None else (-1,)
+        self.out_indices = out_indices if out_indices is not None else [-1]
         self.freeze_batch_norm_2d = freeze_batch_norm_2d

tests/models/align/test_modeling_align.py

@@ -147,16 +147,15 @@ class AlignVisionModelTest(ModelTesterMixin, unittest.TestCase):
     def setUp(self):
         self.model_tester = AlignVisionModelTester(self)
         self.config_tester = ConfigTester(
-            self, config_class=AlignVisionConfig, has_text_modality=False, hidden_size=37
+            self,
+            config_class=AlignVisionConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["num_channels", "image_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="AlignVisionModel does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/bit/test_modeling_bit.py

@@ -173,15 +173,12 @@ class BitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = BitModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=BitConfig, has_text_modality=False)
+        self.config_tester = ConfigTester(
+            self, config_class=BitConfig, 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()
 
     @unittest.skip(reason="Bit does not output attentions")
     def test_attention_outputs(self):

tests/models/convnext/test_modeling_convnext.py

@@ -183,15 +183,16 @@ class ConvNextModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
 
     def setUp(self):
         self.model_tester = ConvNextModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=ConvNextConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=ConvNextConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["num_channels", "hidden_sizes"],
+        )
 
     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="ConvNext does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/convnextv2/test_modeling_convnextv2.py

@@ -191,15 +191,16 @@ class ConvNextV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
 
     def setUp(self):
         self.model_tester = ConvNextV2ModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=ConvNextV2Config, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=ConvNextV2Config,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["hidden_sizes", "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()
 
     @unittest.skip(reason="ConvNextV2 does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/cpmant/test_modeling_cpmant.py

@@ -151,12 +151,7 @@ def setUp(self):
         self.config_tester = ConfigTester(self, config_class=CpmAntConfig)
 
     def test_config(self):
-        self.config_tester.create_and_test_config_common_properties()
-        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.check_config_can_be_init_without_params()
-        self.config_tester.check_config_arguments_init()
+        self.config_tester.run_common_tests()
 
     def test_inputs_embeds(self):
         unittest.skip("CPMAnt doesn't support input_embeds.")(self.test_inputs_embeds)

tests/models/cvt/test_modeling_cvt.py

@@ -162,15 +162,16 @@ class CvtModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = CvtModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=CvtConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=CvtConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["hidden_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()
 
     @unittest.skip(reason="Cvt does not output attentions")
     def test_attention_outputs(self):

tests/models/deformable_detr/test_modeling_deformable_detr.py

@@ -230,15 +230,15 @@ def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
 
     def setUp(self):
         self.model_tester = DeformableDetrModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=DeformableDetrConfig, has_text_modality=False)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=DeformableDetrConfig,
+            has_text_modality=False,
+            common_properties=["num_channels", "d_model", "encoder_attention_heads", "decoder_attention_heads"],
+        )
 
     def test_config(self):
-        # we don't test common_properties and arguments_init as these don't apply for Deformable DETR
-        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.run_common_tests()
 
     def test_deformable_detr_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/depth_anything/test_modeling_depth_anything.py

@@ -149,17 +149,15 @@ class DepthAnythingModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
     def setUp(self):
         self.model_tester = DepthAnythingModelTester(self)
         self.config_tester = ConfigTester(
-            self, config_class=DepthAnythingConfig, has_text_modality=False, hidden_size=37
+            self,
+            config_class=DepthAnythingConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["patch_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_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()
 
     @unittest.skip(reason="Depth Anything with AutoBackbone does not have a base model and hence no input_embeddings")
     def test_inputs_embeds(self):

tests/models/dinat/test_modeling_dinat.py

@@ -219,15 +219,12 @@ class DinatModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = DinatModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=DinatConfig, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self, config_class=DinatConfig, embed_dim=37, common_properties=["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/donut/test_modeling_donut_swin.py

@@ -153,15 +153,16 @@ class DonutSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
 
     def setUp(self):
         self.model_tester = DonutSwinModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=DonutSwinConfig, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=DonutSwinConfig,
+            has_text_modality=False,
+            embed_dim=37,
+            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/efficientnet/test_modeling_efficientnet.py

@@ -142,16 +142,15 @@ class EfficientNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
     def setUp(self):
         self.model_tester = EfficientNetModelTester(self)
         self.config_tester = ConfigTester(
-            self, config_class=EfficientNetConfig, has_text_modality=False, hidden_size=37
+            self,
+            config_class=EfficientNetConfig,
+            has_text_modality=False,
+            hidden_size=37,
+            common_properties=["num_channels", "image_size", "hidden_dim"],
         )
 
     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="EfficientNet does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/focalnet/test_modeling_focalnet.py

@@ -250,15 +250,16 @@ class FocalNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
 
     def setUp(self):
         self.model_tester = FocalNetModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=FocalNetConfig, embed_dim=37, has_text_modality=False)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=FocalNetConfig,
+            embed_dim=37,
+            has_text_modality=False,
+            common_properties=["image_size", "patch_size", "num_channels", "hidden_sizes"],
+        )
 
     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/grounding_dino/test_modeling_grounding_dino.py

@@ -246,15 +246,15 @@ def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
 
     def setUp(self):
         self.model_tester = GroundingDinoModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=GroundingDinoConfig, has_text_modality=False)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=GroundingDinoConfig,
+            has_text_modality=False,
+            common_properties=["d_model", "encoder_attention_heads", "decoder_attention_heads"],
+        )
 
     def test_config(self):
-        # we don't test common_properties and arguments_init as these don't apply for Grounding DINO
-        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.run_common_tests()
 
     def test_model(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs()

tests/models/levit/test_modeling_levit.py

@@ -190,15 +190,12 @@ class LevitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
 
     def setUp(self):
         self.model_tester = LevitModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=LevitConfig, has_text_modality=False, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self, config_class=LevitConfig, has_text_modality=False, common_properties=["image_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()
 
     @unittest.skip(reason="Levit does not use inputs_embeds")
     def test_inputs_embeds(self):

tests/models/maskformer/test_modeling_maskformer_swin.py

@@ -184,7 +184,13 @@ class MaskFormerSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
 
     def setUp(self):
         self.model_tester = MaskFormerSwinModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=MaskFormerSwinConfig, embed_dim=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=MaskFormerSwinConfig,
+            has_text_modality=False,
+            embed_dim=37,
+            common_properties=["image_size", "patch_size", "num_channels"],
+        )
 
     @require_torch_multi_gpu
     @unittest.skip(
@@ -197,12 +203,7 @@ def test_multi_gpu_data_parallel_forward(self):
         pass
 
     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/perceiver/test_modeling_perceiver.py

@@ -315,7 +315,12 @@ class PerceiverModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
 
     def setUp(self):
         self.model_tester = PerceiverModelTester(self)
-        self.config_tester = ConfigTester(self, config_class=PerceiverConfig, hidden_size=37)
+        self.config_tester = ConfigTester(
+            self,
+            config_class=PerceiverConfig,
+            hidden_size=37,
+            common_properties=["d_model", "num_self_attention_heads", "num_cross_attention_heads"],
+        )
 
     def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
         inputs_dict = copy.deepcopy(inputs_dict)
@@ -344,12 +349,7 @@ def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
         return inputs_dict
 
     def test_config(self):
-        # we don't test common_properties and arguments_init as these don't apply for Perceiver
-        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.run_common_tests()
 
     def test_for_masked_lm(self):
         config_and_inputs = self.model_tester.prepare_config_and_inputs(model_class=PerceiverForMaskedLM)