Large modular logic refactoring (#34487)

* rework converter

* Update modular_model_converter.py

* Update modular_model_converter.py

* Update modular_model_converter.py

* Update modular_model_converter.py

* cleaning

* cleaning

* finalize imports

* imports

* Update modular_model_converter.py

* Better renaming to avoid visiting same file multiple times

* start converting files

* style

* address most comments

* style

* remove unused stuff in get_needed_imports

* style

* move class dependency functions outside class

* Move main functions outside class

* style

* Update modular_model_converter.py

* rename func

* add augmented dependencies

* Update modular_model_converter.py

* Add types_to_file_type + tweak annotation handling

* Allow assignment dependency mapping + fix regex

* style + update modular examples

* fix modular_roberta example (wrong redefinition of __init__)

* slightly correct order in which dependencies will appear

* style

* review comments

* Performance + better handling of dependencies when they are imported

* style

* Add advanced new classes capabilities

* style

* add forgotten check

* Update modeling_llava_next_video.py

* Add prority list ordering in check_conversion as well

* Update check_modular_conversion.py

* Update configuration_gemma.py

examples/modular-transformers/modular_roberta.py

@@ -13,8 +13,5 @@ class RobertaEmbeddings(BertEmbeddings):
 
 
 class RobertaModel(BertModel):
-    def __init__(self, config):
+    def __init__(self, config, add_pooling_layer=True):
         super().__init__(self, config)
-        # Error out here. Why? Because `RobertaEmbeddings` is defined but not used.
-        # no, because it's defined, and RobertaModel should use RobertaEmbedding
-        # here if initialized that way it won't use the new embedding.