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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 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...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2023
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Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012013 http://cds.cern.ch/record/2862109 |