Rename test_model_common_attributes -> test_model_get_set_embeddings (h…

…uggingface#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 @@
     "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 @@ def test_inputs_embeds_matches_input_ids(self):
         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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_config(self):
     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 @@ def test_attention_outputs(self):
     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 @@ def test_forward_signature(self):
             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 @@ def test_multi_gpu_data_parallel_forward(self):
     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 @@ def test_inputs_embeds(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_initialization(self):
                         )
 
     @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 @@ def test_inputs_embeds_matches_input_ids(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_config(self):
     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 @@ def test_retain_grad_hidden_states_attentions(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_inputs_embeds_matches_input_ids(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_inputs_embeds(self):
         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 @@ def test_resize_tokens_embeddings(self):
     # 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 @@ def test_inputs_embeds(self):
     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 @@ def test_forward_signature(self):
 
             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 @@ def test_inputs_embeds_matches_input_ids(self):
         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 @@ def test_config(self):
     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 @@ def test_training_gradient_checkpointing(self):
         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 @@ def test_inputs_embeds_matches_input_ids(self):
         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 @@ def test_inputs_embeds(self):
     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: