Oleksandr Ismailov

When it will be merged I will create a pull request to kaldi sources which use your fork.

During compiling I have gotten errors chained with missed headers If you need to understand what actually I can add here this info. But I think from your side will...

@juansebashr Unfortunately still no, currently using Nvidia Jetson Orin Nano with cuda 11 support(expensive board but enough efficient). In addition I plan to introduce support of rk3588 NPU(Orange Pi 5,...

@juansebashr I tried to build with cuda 10.2 but it produced an error with missed includes, may be localization of this dependency can be reduced…

You can turn it off with cmake option, I have build without problem it… try to search what option of ctranslate turn off openmp

-DWITH_MKL=OFF

cmake -Bbuild_folder -DWITH_MKL=OFF cmake —build build_folder

Add option -DOPENMP_RUNTIME=NONE cmake -Bbuild_folder -DWITH_MKL=OFF -DOPENMP_RUNTIME=NONE -DWITH_CUDA=ON -DWITH_CUDNN=ON cmake —build build_folder 1. cmake can create directory for you with option -ByourSuperPuperFolderName, not needed to do redundant mkdir and after...

You can even create wheel python package, for installation

And be ready to understand that nvidia orin nano give good comparison only on big models and medium, on tiny unfortunately OrangePi 5 will be faster… (I am about FasterWhisper🙂)