C++ Code Generation for Fast Inference of Deep Learning Models in ROOT/TMVA

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We report the latest development in ROOT/TMVA, a new tool that takes trained ONNX deep learning models and emits C++ code that can be easily included and invoked for fast inference of the model, with minimal dependency. An introduction to SOFIE (System for Optimized Fast Inference code Emit) is pres...

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Autores principales: An, Sitong, Moneta, Lorenzo, Sengupta, Sanjiban, Hamdan, Ahmat, Sossai, Federico, Saxena, Aaradhya
Lenguaje:eng
Publicado: 2023
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012013
http://cds.cern.ch/record/2862109

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