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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 |
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