Fix embeddings resizing in TF models (#8657)

* Resize the biases in same time than the embeddings

* Trigger CI

* Biases are not reset anymore

* Remove get_output_embeddings + better LM model detection in generation utils

* Apply style

* First test on BERT

* Update docstring + new name

* Apply the new resizing logic to all the models

* fix tests

* Apply style

* Update the template

* Fix naming

* Fix naming

* Apply style

* Apply style

* Remove unused import

* Revert get_output_embeddings

* Trigger CI

* Update num parameters

* Restore get_output_embeddings in TFPretrainedModel and add comments

* Style

* Add decoder resizing

* Style

* Fix tests

* Separate bias and decoder resize

* Fix tests

* Fix tests

* Apply style

* Add bias resizing in MPNet

* Trigger CI

* Apply style

tests/test_modeling_tf_blenderbot.py

@@ -18,17 +18,17 @@ import unittest
 from tests.test_configuration_common import ConfigTester
 from tests.test_modeling_tf_bart import TFBartModelTester
 from tests.test_modeling_tf_common import TFModelTesterMixin
-from transformers import (
-    BlenderbotConfig,
-    BlenderbotSmallTokenizer,
-    TFAutoModelForSeq2SeqLM,
-    TFBlenderbotForConditionalGeneration,
-    is_tf_available,
-)
+from transformers import BlenderbotConfig, BlenderbotSmallTokenizer, is_tf_available
 from transformers.file_utils import cached_property
 from transformers.testing_utils import is_pt_tf_cross_test, require_tf, require_tokenizers, slow
 
 
+if is_tf_available():
+    import tensorflow as tf
+
+    from transformers import TFAutoModelForSeq2SeqLM, TFBlenderbotForConditionalGeneration
+
+
 class TFBlenderbotModelTester(TFBartModelTester):
     config_updates = dict(
         normalize_before=True,
@@ -65,6 +65,17 @@ class TFBlenderbotModelTest(TFModelTesterMixin, unittest.TestCase):
         # Should be uncommented during patrick TF refactor
         pass
 
+    def test_model_common_attributes(self):
+        config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
+
+        for model_class in self.all_model_classes:
+            model = model_class(config)
+            assert isinstance(model.get_input_embeddings(), tf.keras.layers.Layer)
+            x = model.get_output_layer_with_bias()
+            assert x is None
+            name = model.get_prefix_bias_name()
+            assert name is None
+
 
 @is_pt_tf_cross_test
 @require_tokenizers