Remove redundant `test_head_masking = True` flags in test files (#9858)

* Remove redundant test_head_masking = True flags

* Remove all redundant test_head_masking flags in PyTorch test_modeling_* files

* Make test_head_masking = True as a default choice in test_modeling_tf_commong.py

* Remove all redundant test_head_masking flags in TensorFlow
test_modeling_tf_* files

* Put back test_head_masking=False fot TFT5 models

tests/test_modeling_bart.py

@@ -402,7 +402,6 @@ class BartModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
     all_generative_model_classes = (BartForConditionalGeneration,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_blenderbot.py

@@ -206,7 +206,6 @@ class BlenderbotModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.Test
     all_generative_model_classes = (BlenderbotForConditionalGeneration,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_blenderbot_small.py

@@ -214,7 +214,6 @@ class BlenderbotSmallModelTest(ModelTesterMixin, GenerationTesterMixin, unittest
     all_generative_model_classes = (BlenderbotSmallForConditionalGeneration,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_distilbert.py

@@ -209,7 +209,6 @@ class DistilBertModelTest(ModelTesterMixin, unittest.TestCase):
     test_pruning = True
     test_torchscript = True
     test_resize_embeddings = True
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = DistilBertModelTester(self)

tests/test_modeling_lxmert.py

@@ -527,10 +527,6 @@ class LxmertModelTest(ModelTesterMixin, unittest.TestCase):
     test_pruning = False
     test_torchscript = False
 
-    test_head_masking = False
-    test_pruning = False
-    test_torchscript = False
-
     # overwrite function because qa models takes different input label shape
     def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
         inputs_dict = copy.deepcopy(inputs_dict)

tests/test_modeling_marian.py

@@ -223,7 +223,6 @@ class MarianModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase
     all_generative_model_classes = (MarianMTModel,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_mbart.py

@@ -219,7 +219,6 @@ class MBartModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase)
     all_generative_model_classes = (MBartForConditionalGeneration,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_pegasus.py

@@ -207,7 +207,6 @@ class PegasusModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCas
     all_generative_model_classes = (PegasusForConditionalGeneration,) if is_torch_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
     test_missing_keys = False
 
     def setUp(self):

tests/test_modeling_tf_bart.py

@@ -178,7 +178,6 @@ class TFBartModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFBartForConditionalGeneration,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFBartModelTester(self)

tests/test_modeling_tf_blenderbot.py

@@ -177,7 +177,6 @@ class TFBlenderbotModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFBlenderbotForConditionalGeneration,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFBlenderbotModelTester(self)

tests/test_modeling_tf_blenderbot_small.py

@@ -179,7 +179,6 @@ class TFBlenderbotSmallModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFBlenderbotSmallForConditionalGeneration,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFBlenderbotSmallModelTester(self)

tests/test_modeling_tf_common.py

@@ -75,6 +75,7 @@ class TFModelTesterMixin:
     all_model_classes = ()
     all_generative_model_classes = ()
     test_resize_embeddings = True
+    test_head_masking = True
     is_encoder_decoder = False
 
     def _prepare_for_class(self, inputs_dict, model_class, return_labels=False) -> dict:

tests/test_modeling_tf_marian.py

@@ -179,7 +179,6 @@ class TFMarianModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFMarianMTModel,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFMarianModelTester(self)

tests/test_modeling_tf_mbart.py

@@ -181,7 +181,6 @@ class TFMBartModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFMBartForConditionalGeneration,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFMBartModelTester(self)

tests/test_modeling_tf_pegasus.py

@@ -177,7 +177,6 @@ class TFPegasusModelTest(TFModelTesterMixin, unittest.TestCase):
     all_generative_model_classes = (TFPegasusForConditionalGeneration,) if is_tf_available() else ()
     is_encoder_decoder = True
     test_pruning = False
-    test_head_masking = True
 
     def setUp(self):
         self.model_tester = TFPegasusModelTester(self)