search

davisking / dlib

A toolkit for making real world machine learning and data analysis applications in C++
http://dlib.net
Boost Software License 1.0
13.59k stars 3.38k forks source link

Support for nVidia tensorcore #2104

Open rafale77 opened 4 years ago

rafale77 commented 4 years ago

More of a feature request than a problem report and forgive my ignorance if this is irrelevant but the nvidia 20x series and the 1660ti have tensor cores which could be use when called out on the nvidia driver using the fp16 extension. tensorflow does it that way. Is there a way to implement this on dlib?

see references

https://www.pugetsystems.com/labs/hpc/TensorFlow-Performance-with-1-4-GPUs----RTX-Titan-2080Ti-2080-2070-GTX-1660Ti-1070-1080Ti-and-Titan-V-1386/ https://medium.com/@noel_kennedy/how-to-use-half-precision-float16-when-training-on-rtx-cards-with-tensorflow-keras-d4033d59f9e4 https://www.pugetsystems.com/labs/hpc/NVIDIA-Titan-V-plus-Tensor-cores-Considerations-and-Testing-of-FP16-for-Deep-Learning-1141/ https://www.servethehome.com/nvidia-geforce-rtx-2060-super-review/5/

davisking commented 4 years ago

Yeah, you can't use fp16 with dlib's dnn tooling right now. It's all fp32. If someone wants to go and update it to support fp16 that would be neat, although it's somewhat non-trivial.