CI: avoid human error, automatically infer generative models (#33212)

* tmp commit

* move tests to the right class

* remove ALL all_generative_model_classes = ...

* skip tf roberta

* skip InstructBlipForConditionalGenerationDecoderOnlyTest

* videollava

* reduce diff

* reduce diff

* remove  on vlms

* fix a few more

* manual rebase bits

* more manual rebase

* remove all manual generative model class test entries

* fix up to ernie

* a few more removals

* handle remaining cases

* recurrent gemma

* it's better here

* make fixup

* tf idefics is broken

* tf bert + generate is broken

* don't touch tf :()

* don't touch tf :(

* make fixup

* better comments for test skips

* revert tf changes

* remove empty line removal

* one more

* missing one

tests/models/blenderbot_small/test_modeling_blenderbot_small.py

@@ -217,7 +217,6 @@ class BlenderbotSmallModelTester:
 @require_torch
 class BlenderbotSmallModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (BlenderbotSmallModel, BlenderbotSmallForConditionalGeneration) if is_torch_available() else ()
-    all_generative_model_classes = (BlenderbotSmallForConditionalGeneration,) if is_torch_available() else ()
     pipeline_model_mapping = (
         {
             "feature-extraction": BlenderbotSmallModel,
@@ -542,7 +541,6 @@ class BlenderbotSmallStandaloneDecoderModelTester:
 @require_torch
 class BlenderbotSmallStandaloneDecoderModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
     all_model_classes = (BlenderbotSmallDecoder, BlenderbotSmallForCausalLM) if is_torch_available() else ()
-    all_generative_model_classes = (BlenderbotSmallForCausalLM,) if is_torch_available() else ()
     test_pruning = False
     is_encoder_decoder = False
 

tests/models/blenderbot_small/test_modeling_flax_blenderbot_small.py

@@ -318,7 +318,6 @@ class FlaxBlenderbotSmallModelTest(FlaxModelTesterMixin, unittest.TestCase, Flax
         if is_flax_available()
         else ()
     )
-    all_generative_model_classes = (FlaxBlenderbotSmallForConditionalGeneration,) if is_flax_available() else ()
 
     def is_pipeline_test_to_skip(
         self,