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Using the diff_converter linter
pip install libcst is a must!
sh examples/diff-conversion/convert_examples.sh to get the converted outputs
The diff converter is a new linter specific to transformers. It allows us to unpack inheritance in python to convert a modular diff file like diff_gemma.py into a single model single file.
Examples of possible usage are available in the examples/diff-conversion, or diff_gemma for a full model usage.
python utils/diff_model_converter.py --files_to_parse "/Users/arthurzucker/Work/transformers/examples/diff-conversion/diff_my_new_model2.py"
How it works
We use the libcst parser to produce an AST representation of the diff_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 difference dependencies.
The code from the diff 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