![]() * Add support for __all__ and potentailly deleting functions
* updates
* update
* nits
* remove dummies
* fix warning
* fixup
* style
* update
* fixup
* skip copied from when # skip
* remove log
* bring dummies back
* fixup
* remove copied from
* fixup
* remove warnings from `make fix-copies`
* fix doc issues
* nits
* Better error message !
* add support for more flexible naming!
* style
* breaking style?
* fix super() renaming issues
* del not needed when you don't call super().__init__()
* style
* no more fmt on :)
* properly remove `self`
* fixup
* fix
* doc nits
* add some doc 🫡
|
||
---|---|---|
.. | ||
configuration_dummy.py | ||
configuration_my_new_model.py | ||
configuration_my_new_model2.py | ||
configuration_new_model.py | ||
configuration_super.py | ||
convert_examples.sh | ||
modeling_dummy_bert.py | ||
modeling_dummy.py | ||
modeling_my_new_model2.py | ||
modeling_super.py | ||
modular_dummy_bert.py | ||
modular_dummy.py | ||
modular_my_new_model.py | ||
modular_my_new_model2.py | ||
modular_new_model.py | ||
modular_roberta.py | ||
modular_super.py | ||
README.md |
Using the modular_converter
linter
pip install libcst
is a must!
sh examples/modular-transformers/convert_examples.sh
to get the converted outputs
The modular converter is a new linter
specific to transformers
. It allows us to unpack inheritance in python to convert a modular file like modular_gemma.py
into a single model single file
.
Examples of possible usage are available in the examples/modular-transformers
, or modular_gemma
for a full model usage.
python utils/modular_model_converter.py --files_to_parse "/Users/arthurzucker/Work/transformers/examples/modular-transformers/modular_my_new_model2.py"
How it works
We use the libcst
parser to produce an AST representation of the modular_xxx.py
file. For any imports that are made from transformers.models.modeling_xxxx
we parse the source code of that module, and build a class dependency mapping, which allows us to unpack the modularerence dependencies.
The code from the modular
file and the class dependency mapping are "merged" to produce the single model single file.
We use ruff to automatically remove the potential duplicate imports.
Why we use libcst instead of the native AST?
AST is super powerful, but it does not keep the docstring
, comment
or code formatting. Thus we decided to go with libcst