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[GSoC 2025] Final Report - TMVA - SOFIE Project - PrasannaKasar #1756
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[GSoC 2025] Final Report - TMVA - SOFIE Project - PrasannaKasar #1756
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hi @maszyman |
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Could you please review? |
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LGTM, but I would like mentors to have a look
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Yes sure |
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Should I tag them here? @maszyman |
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Already did in #1756 (comment) ;-) |
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Okay |
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LGTM! |
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Looks good overall, thanks for the report. Some suggestions:
| layout: blog_post | ||
| logo: "TMVA - SOFIE" | ||
| intro: | | ||
| Developed a parser within SOFIE to parse Machine Learning models trained with Keras. Rewrote the existing parser, which was written in C++, in Python. Added support for parsing missing layers, such as Pooling and LayerNormalization, and wrote unit tests for the parser. |
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| Developed a parser within SOFIE to parse Machine Learning models trained with Keras. Rewrote the existing parser, which was written in C++, in Python. Added support for parsing missing layers, such as Pooling and LayerNormalization, and wrote unit tests for the parser. | |
| Rewrote the existing parser, which was written in C++, in Python. |
Maybe rephrase this line, this sounds a bit ambiguous. A suggestion could be, "Rewrote the existing parser in Python, which was previously written in C++".
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| ## Work Accomplished | ||
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| Since SOFIE's operators are written entirely in C++, we had to leverage ROOT's `Pythonization` functionality, which essentially allows us to use SOFIE's C++ objects in a Pythonic interface. The overall structure of the parser is very similar to the previous one. The sequence of operations is as follows: |
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| Since SOFIE's operators are written entirely in C++, we had to leverage ROOT's `Pythonization` functionality, which essentially allows us to use SOFIE's C++ objects in a Pythonic interface. The overall structure of the parser is very similar to the previous one. The sequence of operations is as follows: | |
| Since SOFIE's operators are written entirely in C++, we had to leverage ROOT's `Pythonization` functionality, which essentially allows us to bind SOFIE's C++ objects to a Pythonic interface. The overall structure of the parser is very similar to the previous one. The sequence of operations is as follows: |
Project: TMVA SOFIE - Enhancing Keras Parser and JAX/FLAX Integration