Rename test_model_common_attributes -> test_model_get_set_embeddings (#31321)

* Rename to test_model_common_attributes
The method name is misleading - it is testing being able to get and set embeddings, not common attributes to all models

* Explicitly skip

tests/models/owlv2/test_modeling_owlv2.py

@@ -162,7 +162,7 @@ class Owlv2VisionModelTest(ModelTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -465,7 +465,7 @@ class Owlv2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="Owlv2Model does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # override as the `logit_scale` parameter initilization is different for OWLV2
@@ -671,7 +671,7 @@ class Owlv2ForObjectDetectionTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="Owlv2Model does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Test_initialization is tested in individual model tests")

tests/models/owlvit/test_modeling_owlvit.py

@@ -160,7 +160,7 @@ class OwlViTVisionModelTest(ModelTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -460,7 +460,7 @@ class OwlViTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="OwlViTModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # override as the `logit_scale` parameter initilization is different for OWLVIT
@@ -664,7 +664,7 @@ class OwlViTForObjectDetectionTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="OwlViTModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Test_initialization is tested in individual model tests")

tests/models/patchtsmixer/test_modeling_patchtsmixer.py

@@ -229,7 +229,6 @@ class PatchTSMixerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
     test_missing_keys = False
     test_torchscript = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
 
     test_resize_embeddings = True
     test_resize_position_embeddings = False
@@ -448,6 +447,10 @@ class PatchTSMixerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
     def test_retain_grad_hidden_states_attentions(self):
         super().test_retain_grad_hidden_states_attentions()
 
+    @unittest.skip(reason="Model does not have input embeddings")
+    def test_model_get_set_embeddings(self):
+        pass
+
 
 def prepare_batch(repo_id="ibm/patchtsmixer-etth1-test-data", file="pretrain_batch.pt"):
     # TODO: Make repo public

tests/models/patchtst/test_modeling_patchtst.py

@@ -165,7 +165,6 @@ class PatchTSTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
     test_missing_keys = True
     test_torchscript = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
 
     test_resize_embeddings = True
     test_resize_position_embeddings = False
@@ -297,6 +296,10 @@ class PatchTSTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
     def test_retain_grad_hidden_states_attentions(self):
         super().test_retain_grad_hidden_states_attentions()
 
+    @unittest.skip(reason="Model does not have input embeddings")
+    def test_model_get_set_embeddings(self):
+        pass
+
 
 def prepare_batch(repo_id="hf-internal-testing/etth1-hourly-batch", file="train-batch.pt"):
     file = hf_hub_download(repo_id=repo_id, filename=file, repo_type="dataset")

tests/models/perceiver/test_modeling_perceiver.py

@@ -377,7 +377,7 @@ class PerceiverModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
         )
         self.model_tester.create_and_check_for_image_classification_conv(*config_and_inputs)
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         for model_class in self.all_model_classes:
             config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_model_class(model_class)
             model = model_class(config)

tests/models/pix2struct/test_modeling_pix2struct.py

@@ -162,7 +162,7 @@ class Pix2StructVisionModelTest(ModelTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -458,7 +458,7 @@ class Pix2StructModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
         pass
 
     @unittest.skip(reason="Pix2StructModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_forward_signature(self):

tests/models/poolformer/test_modeling_poolformer.py

@@ -149,7 +149,7 @@ class PoolFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
         pass
 
     @unittest.skip("PoolFormer does not have get_input_embeddings method and get_output_embeddings methods")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_hidden_states_output(self):

tests/models/pvt/test_modeling_pvt.py

@@ -183,7 +183,7 @@ class PvtModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip("Pvt does not have get_input_embeddings method and get_output_embeddings methods")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_initialization(self):

tests/models/pvt_v2/test_modeling_pvt_v2.py

@@ -219,7 +219,7 @@ class PvtV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip("Pvt-V2 does not have get_input_embeddings method and get_output_embeddings methods")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="This architecture does not work with using reentrant.")

tests/models/regnet/test_modeling_regnet.py

@@ -155,7 +155,7 @@ class RegNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="RegNet does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_model(self):

tests/models/resnet/test_modeling_resnet.py

@@ -200,7 +200,7 @@ class ResNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="ResNet does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_model(self):

tests/models/sam/test_modeling_sam.py

@@ -326,7 +326,7 @@ class SamModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:

tests/models/segformer/test_modeling_segformer.py

@@ -205,7 +205,7 @@ class SegformerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
         pass
 
     @unittest.skip("SegFormer does not have get_input_embeddings method and get_output_embeddings methods")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_attention_outputs(self):

tests/models/seggpt/test_modeling_seggpt.py

@@ -187,7 +187,7 @@ class SegGptModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:

tests/models/sew/test_modeling_sew.py

@@ -352,7 +352,7 @@ class SEWModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     # SEW has no inputs_embeds
     # and thus the `get_input_embeddings` fn
     # is not implemented
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip("No support for low_cpu_mem_usage=True.")

tests/models/sew_d/test_modeling_sew_d.py

@@ -374,7 +374,7 @@ class SEWDModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     # SEW has no inputs_embeds
     # and thus the `get_input_embeddings` fn
     # is not implemented
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_retain_grad_hidden_states_attentions(self):

tests/models/siglip/test_modeling_siglip.py

@@ -166,7 +166,7 @@ class SiglipVisionModelTest(ModelTesterMixin, unittest.TestCase):
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -469,8 +469,8 @@ class SiglipModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="SiglipModel does not have input/output embeddings")
-    # Copied from tests.models.clip.test_modeling_clip.CLIPModelTest.test_model_common_attributes
-    def test_model_common_attributes(self):
+    # Copied from tests.models.clip.test_modeling_clip.CLIPModelTest.test_model_get_set_embeddings
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="SiglipModel does not support training")
@@ -627,7 +627,7 @@ class SiglipForImageClassificationModelTest(ModelTesterMixin, PipelineTesterMixi
         pass
 
     @unittest.skip(reason="SiglipForImageClassification does not support inputs_embeds")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="SiglipForImageClassification does not support gradient checkpointing yet")

tests/models/speecht5/test_modeling_speecht5.py

@@ -217,7 +217,7 @@ class SpeechT5ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
         pass
 
     # this model has no input embeddings
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_retain_grad_hidden_states_attentions(self):
@@ -1654,7 +1654,7 @@ class SpeechT5ForSpeechToSpeechTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     # this model has no input embeddings
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # skipped because there is always dropout in SpeechT5SpeechDecoderPrenet
@@ -1848,7 +1848,7 @@ class SpeechT5HifiGanTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     # this model has no input embeddings
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # skip as this model doesn't support all arguments tested

tests/models/superpoint/test_modeling_superpoint.py

@@ -143,7 +143,7 @@ class SuperPointModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="SuperPointForKeypointDetection does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="SuperPointForKeypointDetection does not use feedforward chunking")

tests/models/swiftformer/test_modeling_swiftformer.py

@@ -166,7 +166,7 @@ class SwiftFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
     def test_inputs_embeds(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes: