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20 lines
1.3 KiB
Markdown
20 lines
1.3 KiB
Markdown
# Using the `modular_converter` linter
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`pip install libcst` is a must!
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# `sh examples/modular-transformers/convert_examples.sh` to get the converted outputs
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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`.
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Examples of possible usage are available in the `examples/modular-transformers`, or `modular_gemma` for a full model usage.
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`python utils/modular_model_converter.py --files_to_parse "/Users/arthurzucker/Work/transformers/examples/modular-transformers/modular_my_new_model2.py"`
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## How it works
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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.
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The code from the `modular` file and the class dependency mapping are "merged" to produce the single model single file.
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We use ruff to automatically remove the potential duplicate imports.
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## Why we use libcst instead of the native AST?
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AST is super powerful, but it does not keep the `docstring`, `comment` or code formatting. Thus we decided to go with `libcst` |