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

conftest.py

@@ -53,7 +53,7 @@ NOT_DEVICE_TESTS = {
     "test_torch_save_load",
     "test_initialization",
     "test_forward_signature",
-    "test_model_common_attributes",
+    "test_model_get_set_embeddings",
     "test_model_main_input_name",
     "test_correct_missing_keys",
     "test_tie_model_weights",

tests/models/align/test_modeling_align.py

@@ -171,7 +171,7 @@ class AlignVisionModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="AlignVisionModel does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     def test_forward_signature(self):
@@ -489,7 +489,7 @@ class AlignModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="AlignModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # override as the `temperature` parameter initilization is different for ALIGN

tests/models/altclip/test_modeling_altclip.py

@@ -153,7 +153,7 @@ class AltCLIPVisionModelTest(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:
@@ -459,7 +459,7 @@ class AltCLIPModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         pass
 
     @unittest.skip(reason="CLIPModel 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 AltCLIP

tests/models/audio_spectrogram_transformer/test_modeling_audio_spectrogram_transformer.py

@@ -185,7 +185,7 @@ class ASTModelTest(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/autoformer/test_modeling_autoformer.py

@@ -212,7 +212,6 @@ class AutoformerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
     test_missing_keys = False
     test_torchscript = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
 
     def setUp(self):
         self.model_tester = AutoformerModelTester(self)
@@ -403,6 +402,10 @@ class AutoformerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
     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(filename="train-batch.pt"):
     file = hf_hub_download(repo_id="hf-internal-testing/tourism-monthly-batch", filename=filename, repo_type="dataset")

tests/models/bark/test_modeling_bark.py

@@ -809,7 +809,7 @@ class BarkFineModelTest(ModelTesterMixin, unittest.TestCase):
             expected_arg_names = ["codebook_idx", "input_ids"]
             self.assertListEqual(arg_names[:2], expected_arg_names)
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         # one embedding layer per codebook
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 

tests/models/beit/test_modeling_beit.py

@@ -270,7 +270,7 @@ class BeitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_feed_forward_chunking(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/bit/test_modeling_bit.py

@@ -196,7 +196,7 @@ class BitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="Bit 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/blip/test_modeling_blip.py

@@ -168,7 +168,7 @@ class BlipVisionModelTest(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:
@@ -462,7 +462,7 @@ class BlipModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="BlipModel 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 Blip
@@ -867,7 +867,7 @@ class BlipVQAModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="BlipModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
 
@@ -901,7 +901,7 @@ class BlipTextRetrievalModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="BlipModel 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):
@@ -1129,7 +1129,7 @@ class BlipTextImageModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="BlipModel 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/blip_2/test_modeling_blip_2.py

@@ -162,7 +162,7 @@ class Blip2VisionModelTest(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:
@@ -463,7 +463,7 @@ class Blip2ForConditionalGenerationDecoderOnlyTest(ModelTesterMixin, GenerationT
         pass
 
     @unittest.skip(reason="Blip2Model does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="There's no base Blip2Model")
@@ -722,7 +722,7 @@ class Blip2ModelTest(ModelTesterMixin, PipelineTesterMixin, GenerationTesterMixi
         pass
 
     @unittest.skip(reason="Blip2Model does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="There's no base Blip2Model")

tests/models/bridgetower/test_modeling_bridgetower.py

@@ -499,7 +499,7 @@ class BridgeTowerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
                         )
 
     @unittest.skip(reason="""Bridge Tower does not have input/output embeddings. So this test is not applicable.""")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="""Bridge Tower does not have input/output embeddings. Thus this test is not applicable.""")

tests/models/canine/test_modeling_canine.py

@@ -506,7 +506,7 @@ class CanineModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip("CANINE does not have a get_input_embeddings() method.")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(

tests/models/chinese_clip/test_modeling_chinese_clip.py

@@ -441,7 +441,7 @@ class ChineseCLIPVisionModelTest(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:
@@ -589,7 +589,7 @@ class ChineseCLIPModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         pass
 
     @unittest.skip(reason="ChineseCLIPModel 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 CHINESE_CLIP

tests/models/clap/test_modeling_clap.py

@@ -177,7 +177,7 @@ class ClapAudioModelTest(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:
@@ -533,7 +533,7 @@ class ClapModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="ClapModel 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 CLAP

tests/models/clip/test_modeling_clip.py

@@ -191,7 +191,7 @@ class CLIPVisionModelTest(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:
@@ -506,7 +506,7 @@ class CLIPModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="CLIPModel 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 CLIP
@@ -783,7 +783,7 @@ class CLIPForImageClassificationModelTest(ModelTesterMixin, PipelineTesterMixin,
         pass
 
     @unittest.skip(reason="CLIPForImageClassification does not support inputs_embeds")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="CLIPForImageClassification does not support gradient checkpointing yet")

tests/models/clipseg/test_modeling_clipseg.py

@@ -169,7 +169,7 @@ class CLIPSegVisionModelTest(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:
@@ -490,7 +490,7 @@ class CLIPSegModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         pass
 
     @unittest.skip(reason="CLIPSegModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(

tests/models/clvp/test_modeling_clvp.py

@@ -489,7 +489,7 @@ class ClvpModelForConditionalGenerationTest(ModelTesterMixin, unittest.TestCase)
         pass
 
     @unittest.skip(reason="ClvpModelForConditionalGeneration does not have get_input_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 Clvp

tests/models/conditional_detr/test_modeling_conditional_detr.py

@@ -251,7 +251,7 @@ class ConditionalDetrModelTest(ModelTesterMixin, GenerationTesterMixin, Pipeline
         pass
 
     @unittest.skip(reason="Conditional DETR does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Conditional DETR is not a generative model")

tests/models/convnext/test_modeling_convnext.py

@@ -202,7 +202,7 @@ class ConvNextModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
         pass
 
     @unittest.skip(reason="ConvNext does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="ConvNext does not use feedforward chunking")

tests/models/convnextv2/test_modeling_convnextv2.py

@@ -210,7 +210,7 @@ class ConvNextV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
         pass
 
     @unittest.skip(reason="ConvNextV2 does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="ConvNextV2 does not use feedforward chunking")

tests/models/cvt/test_modeling_cvt.py

@@ -185,7 +185,7 @@ class CvtModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="Cvt 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/data2vec/test_modeling_data2vec_audio.py

@@ -442,7 +442,7 @@ class Data2VecAudioModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
     # Data2VecAudio 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
 
     @is_pt_flax_cross_test

tests/models/data2vec/test_modeling_data2vec_vision.py

@@ -207,7 +207,7 @@ class Data2VecVisionModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
     def test_multi_gpu_data_parallel_forward(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/decision_transformer/test_modeling_decision_transformer.py

@@ -143,7 +143,6 @@ class DecisionTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
     test_attention_outputs = False
     test_hidden_states_output = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
     test_gradient_checkpointing = False
     test_torchscript = False
 
@@ -184,6 +183,10 @@ class DecisionTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
 
             self.assertListEqual(arg_names[: len(expected_arg_names)], expected_arg_names)
 
+    @unittest.skip(reason="Model does not have input embeddings")
+    def test_model_get_set_embeddings(self):
+        pass
+
 
 @require_torch
 class DecisionTransformerModelIntegrationTest(unittest.TestCase):

tests/models/deformable_detr/test_modeling_deformable_detr.py

@@ -257,7 +257,7 @@ class DeformableDetrModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
         pass
 
     @unittest.skip(reason="Deformable DETR does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Deformable DETR is not a generative model")

tests/models/deit/test_modeling_deit.py

@@ -241,7 +241,7 @@ class DeiTModelTest(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/depth_anything/test_modeling_depth_anything.py

@@ -178,7 +178,7 @@ class DepthAnythingModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
         pass
 
     @unittest.skip(reason="Depth Anything with AutoBackbone does not have a base model and hence no input_embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Depth Anything with AutoBackbone does not have a base model")

tests/models/detr/test_modeling_detr.py

@@ -251,7 +251,7 @@ class DetrModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
         pass
 
     @unittest.skip(reason="DETR does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="DETR is not a generative model")

tests/models/dinat/test_modeling_dinat.py

@@ -253,7 +253,7 @@ class DinatModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_feed_forward_chunking(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/dinov2/test_modeling_dinov2.py

@@ -258,7 +258,7 @@ class Dinov2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_training_gradient_checkpointing_use_reentrant_false(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/donut/test_modeling_donut_swin.py

@@ -175,7 +175,7 @@ class DonutSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
         # DonutSwin does not use inputs_embeds
         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/dpt/test_modeling_dpt.py

@@ -183,7 +183,7 @@ class DPTModelTest(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/dpt/test_modeling_dpt_auto_backbone.py

@@ -217,7 +217,7 @@ class DPTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
                     )
 
     @unittest.skip(reason="DPT with AutoBackbone does not have a base model and hence no input_embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="DPT with AutoBackbone does not have a base model")

tests/models/dpt/test_modeling_dpt_hybrid.py

@@ -198,7 +198,7 @@ class DPTModelTest(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/efficientnet/test_modeling_efficientnet.py

@@ -162,7 +162,7 @@ class EfficientNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
         pass
 
     @unittest.skip(reason="EfficientNet does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="EfficientNet does not use feedforward chunking")

tests/models/encodec/test_modeling_encodec.py

@@ -183,7 +183,7 @@ class EncodecModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         pass
 
     @unittest.skip("The EncodecModel is not transformers based, thus it does not have `inputs_embeds` logics")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip("The EncodecModel is not transformers based, thus it does not have the usual `attention` logic")

tests/models/fastspeech2_conformer/test_modeling_fastspeech2_conformer.py

@@ -344,7 +344,7 @@ class FastSpeech2ConformerModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="FastSpeech2Conformer has no input embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(
@@ -766,7 +766,7 @@ class FastSpeech2ConformerWithHifiGanTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="FastSpeech2Conformer has no input embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(

tests/models/flava/test_modeling_flava.py

@@ -180,7 +180,7 @@ class FlavaImageModelTest(ModelTesterMixin, unittest.TestCase):
         # FLAVA does not use inputs_embeds
         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:
@@ -619,7 +619,7 @@ class FlavaMultimodalModelTest(ModelTesterMixin, unittest.TestCase):
             expected_arg_names = ["hidden_states"]
             self.assertListEqual(arg_names[:1], expected_arg_names)
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         # No embedding in multimodal model
         pass
 
@@ -742,7 +742,7 @@ class FlavaImageCodebookTest(ModelTesterMixin, unittest.TestCase):
     def test_attention_outputs(self):
         pass
 
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         # No embedding in multimodal model
         pass
 
@@ -944,7 +944,7 @@ class FlavaModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     # FlavaModel 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 FLAVA

tests/models/focalnet/test_modeling_focalnet.py

@@ -288,7 +288,7 @@ class FocalNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
     def test_feed_forward_chunking(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[:-1]:

tests/models/fsmt/test_modeling_fsmt.py

@@ -193,8 +193,8 @@ class FSMTModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
     def test_config(self):
         self.config_tester.run_common_tests()
 
-    # XXX: override test_model_common_attributes / different Embedding type
-    def test_model_common_attributes(self):
+    # XXX: override test_model_get_set_embeddings / different Embedding type
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs()
 
         for model_class in self.all_model_classes:

tests/models/git/test_modeling_git.py

@@ -142,7 +142,7 @@ class GitVisionModelTest(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:

tests/models/glpn/test_modeling_glpn.py

@@ -173,7 +173,7 @@ class GLPNModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip("GLPN 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/grounding_dino/test_modeling_grounding_dino.py

@@ -269,7 +269,7 @@ class GroundingDinoModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Tes
         pass
 
     @unittest.skip(reason="Grounding DINO does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Grounding DINO does not use token embeddings")

tests/models/groupvit/test_modeling_groupvit.py

@@ -174,7 +174,7 @@ class GroupViTVisionModelTest(ModelTesterMixin, unittest.TestCase):
         tf.random.set_seed(seed)
         return super().test_pt_tf_model_equivalence()
 
-    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:
@@ -573,7 +573,7 @@ class GroupViTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
         pass
 
     @unittest.skip(reason="GroupViTModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # overwritten from parent as this equivalent test needs a specific `seed` and hard to get a good one!

tests/models/hubert/test_modeling_hubert.py

@@ -366,7 +366,7 @@ class HubertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     # Hubert 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):
@@ -631,7 +631,7 @@ class HubertRobustModelTest(ModelTesterMixin, unittest.TestCase):
     # Hubert 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/ibert/test_modeling_ibert.py

@@ -334,7 +334,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     # Override
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:

tests/models/informer/test_modeling_informer.py

@@ -198,7 +198,6 @@ class InformerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
     test_missing_keys = False
     test_torchscript = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
 
     def setUp(self):
         self.model_tester = InformerModelTester(self)
@@ -468,6 +467,10 @@ class InformerModelTest(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(filename="train-batch.pt"):
     file = hf_hub_download(repo_id="hf-internal-testing/tourism-monthly-batch", filename=filename, repo_type="dataset")

tests/models/instructblip/test_modeling_instructblip.py

@@ -165,7 +165,7 @@ class InstructBlipVisionModelTest(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:
@@ -485,7 +485,7 @@ class InstructBlipForConditionalGenerationDecoderOnlyTest(ModelTesterMixin, Gene
         pass
 
     @unittest.skip(reason="InstructBlipModel does not have input/output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="There's no base InstructBlipModel")

tests/models/levit/test_modeling_levit.py

@@ -209,7 +209,7 @@ class LevitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="Levit does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Levit does not output attentions")

tests/models/mask2former/test_modeling_mask2former.py

@@ -225,7 +225,7 @@ class Mask2FormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         pass
 
     @unittest.skip(reason="Mask2Former does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Mask2Former is not a generative model")

tests/models/maskformer/test_modeling_maskformer.py

@@ -251,7 +251,7 @@ class MaskFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
         pass
 
     @unittest.skip(reason="MaskFormer does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="MaskFormer is not a generative model")

tests/models/maskformer/test_modeling_maskformer_swin.py

@@ -224,7 +224,7 @@ class MaskFormerSwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
     def test_feed_forward_chunking(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/mgp_str/test_modeling_mgp_str.py

@@ -145,7 +145,7 @@ class MgpstrModelTest(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/mobilenet_v1/test_modeling_mobilenet_v1.py

@@ -167,7 +167,7 @@ class MobileNetV1ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         pass
 
     @unittest.skip(reason="MobileNetV1 does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="MobileNetV1 does not output attentions")

tests/models/mobilenet_v2/test_modeling_mobilenet_v2.py

@@ -218,7 +218,7 @@ class MobileNetV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         pass
 
     @unittest.skip(reason="MobileNetV2 does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="MobileNetV2 does not output attentions")

tests/models/mobilevit/test_modeling_mobilevit.py

@@ -211,7 +211,7 @@ class MobileViTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
         pass
 
     @unittest.skip(reason="MobileViT does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="MobileViT does not output attentions")

tests/models/mobilevitv2/test_modeling_mobilevitv2.py

@@ -213,7 +213,7 @@ class MobileViTV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         pass
 
     @unittest.skip(reason="MobileViTV2 does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="MobileViTV2 does not output attentions")

tests/models/musicgen/test_modeling_musicgen.py

@@ -256,7 +256,7 @@ class MusicgenDecoderTest(ModelTesterMixin, GenerationTesterMixin, PipelineTeste
                 model(**inputs)[0]
 
     # override since we have embeddings / LM heads over multiple codebooks
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -1401,7 +1401,7 @@ class MusicgenTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
                         )
 
     # override since we have embeddings / LM heads over multiple codebooks
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:

tests/models/musicgen_melody/test_modeling_musicgen_melody.py

@@ -259,7 +259,7 @@ class MusicgenMelodyDecoderTest(ModelTesterMixin, GenerationTesterMixin, unittes
                 model(**inputs)[0]
 
     # override since we have embeddings / LM heads over multiple codebooks
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:
@@ -1385,7 +1385,7 @@ class MusicgenMelodyTest(ModelTesterMixin, GenerationTesterMixin, PipelineTester
                         )
 
     # override since we have embeddings / LM heads over multiple codebooks
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
         for model_class in self.all_model_classes:

tests/models/oneformer/test_modeling_oneformer.py

@@ -293,7 +293,7 @@ class OneFormerModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCas
         pass
 
     @unittest.skip(reason="OneFormer does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="OneFormer is not a generative model")

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:

tests/models/swin/test_modeling_swin.py

@@ -289,7 +289,7 @@ class SwinModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     def test_feed_forward_chunking(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/swin2sr/test_modeling_swin2sr.py

@@ -222,7 +222,7 @@ class Swin2SRModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
     def test_training_gradient_checkpointing_use_reentrant_false(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/swinv2/test_modeling_swinv2.py

@@ -256,7 +256,7 @@ class Swinv2ModelTest(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/table_transformer/test_modeling_table_transformer.py

@@ -265,7 +265,7 @@ class TableTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipelin
         pass
 
     @unittest.skip(reason="Table Transformer does not have a get_input_embeddings method")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="Table Transformer is not a generative model")

tests/models/time_series_transformer/test_modeling_time_series_transformer.py

@@ -187,7 +187,6 @@ class TimeSeriesTransformerModelTest(ModelTesterMixin, PipelineTesterMixin, unit
     test_missing_keys = False
     test_torchscript = False
     test_inputs_embeds = False
-    test_model_common_attributes = False
 
     def setUp(self):
         self.model_tester = TimeSeriesTransformerModelTester(self)
@@ -476,6 +475,10 @@ class TimeSeriesTransformerModelTest(ModelTesterMixin, PipelineTesterMixin, unit
     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(filename="train-batch.pt"):
     file = hf_hub_download(repo_id="hf-internal-testing/tourism-monthly-batch", filename=filename, repo_type="dataset")

tests/models/timesformer/test_modeling_timesformer.py

@@ -192,7 +192,7 @@ class TimesformerModelTest(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:

tests/models/timm_backbone/test_modeling_timm_backbone.py

@@ -158,7 +158,7 @@ class TimmBackboneModelTest(ModelTesterMixin, BackboneTesterMixin, PipelineTeste
         pass
 
     @unittest.skip("TimmBackbone models doesn't have inputs_embeds")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip("TimmBackbone model cannot be created without specifying a backbone checkpoint")

tests/models/tvp/test_modeling_tvp.py

@@ -191,7 +191,7 @@ class TVPModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="TVPModel 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 TVP

tests/models/unispeech/test_modeling_unispeech.py

@@ -369,7 +369,7 @@ class UniSpeechRobustModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.T
     # UniSpeech 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/unispeech_sat/test_modeling_unispeech_sat.py

@@ -419,7 +419,7 @@ class UniSpeechSatModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Test
     # UniSpeechSat 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):
@@ -631,7 +631,7 @@ class UniSpeechSatRobustModelTest(ModelTesterMixin, unittest.TestCase):
     # UniSpeechSat 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/univnet/test_modeling_univnet.py

@@ -163,7 +163,7 @@ class UnivNetModelTest(ModelTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip(reason="UnivNetModel does not use input embeddings and thus has no get_input_embeddings method.")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="UnivNetModel does not support all arguments tested, such as output_hidden_states.")

tests/models/upernet/test_modeling_upernet.py

@@ -184,7 +184,7 @@ class UperNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         pass
 
     @unittest.skip(reason="UperNet does not support input and output embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     @unittest.skip(reason="UperNet does not have a base model")

tests/models/videomae/test_modeling_videomae.py

@@ -220,7 +220,7 @@ class VideoMAEModelTest(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/vit/test_modeling_vit.py

@@ -226,7 +226,7 @@ class ViTModelTest(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/vit_mae/test_modeling_vit_mae.py

@@ -186,7 +186,7 @@ class ViTMAEModelTest(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/vit_msn/test_modeling_vit_msn.py

@@ -174,7 +174,7 @@ class ViTMSNModelTest(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/vitdet/test_modeling_vitdet.py

@@ -204,7 +204,7 @@ class VitDetModelTest(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/vitmatte/test_modeling_vitmatte.py

@@ -185,7 +185,7 @@ class VitMatteModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
         pass
 
     @unittest.skip(reason="ViTMatte 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/vits/test_modeling_vits.py

@@ -265,7 +265,7 @@ class VitsModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         pass
 
     @unittest.skip("VITS has no input embeddings")
-    def test_model_common_attributes(self):
+    def test_model_get_set_embeddings(self):
         pass
 
     # override since the model is not deterministic, so we need to set the seed for each forward pass

tests/models/vivit/test_modeling_vivit.py

@@ -192,7 +192,7 @@ class VivitModelTest(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: