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

We report the latest development in ROOT/TMVA, a new system 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. We present an overview of the current solutions for conducting inference in C+...

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Detalles Bibliográficos
Autores principales: An, Sitong, Moneta, Lorenzo
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202125103040
http://cds.cern.ch/record/2780369