[PyTorch] Refactor Resize Token Embeddings (#8880)

* fix resize tokens

* correct mobile_bert

* move embedding fix into modeling_utils.py

* refactor

* fix lm head resize

* refactor

* break lines to make sylvain happy

* add news tests

* fix typo

* improve test

* skip bart-like for now

* check if base_model = get(...) is necessary

* clean files

* improve test

* fix tests

* revert style templates

* Update templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py

tests/test_modeling_fsmt.py

@@ -226,15 +226,9 @@ class FSMTModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
     def test_tie_model_weights(self):
         pass
 
-    # def test_auto_model(self):
-    #     # XXX: add a tiny model to s3?
-    #     model_name = "facebook/wmt19-ru-en-tiny"
-    #     tiny = AutoModel.from_pretrained(model_name)  # same vocab size
-    #     tok = AutoTokenizer.from_pretrained(model_name)  # same tokenizer
-    #     inputs_dict = tok.batch_encode_plus(["Hello my friends"], return_tensors="pt")
-
-    #     with torch.no_grad():
-    #         tiny(**inputs_dict)
+    @unittest.skip("TODO: Decoder embeddings cannot be resized at the moment")
+    def test_resize_embeddings_untied(self):
+        pass
 
 
 @require_torch