Orange Pi 5 Plus Rockchip RK3588 Hardware ML Acceleration segfault help wanted
AI have an Orange Pi 5 Plus that I'm trying to setup for running Immich: I want to enjoy hardware accelerated machine learning. I've been having quite a bit of trouble getting the driver to work.
I am confident that my Immich setup is correct and that I have given the container proper access to the hardware. Why? Because when I run clinfo in the machine it can see the OpenCL hardware.
Furthermore https://immich.app/docs/features/ml-hardware-acceleration/ says
I've tried the https://github.com/JeffyCN/mirrors/raw/libmali/firmware/g610/mali_csffw.binq and equivalent from https://github.com/tsukumijima/libmali-rockchip/releases
I got the firmware from https://github.com/JeffyCN/mirrors/raw/libmali/firmware/g610/mali_csffw.binq but it does not make any difference no-matter if I include that file or not.
Between each test I've completely reset the system nuking all images and deleting storage. I get a segfault when the machine learning algo runs
Relevant logs attached, and part with error highlighted below:
I am confident that my Immich setup is correct and that I have given the container proper access to the hardware. Why? Because when I run clinfo in the machine it can see the OpenCL hardware.
Furthermore https://immich.app/docs/features/ml-hardware-acceleration/ says
In the case of ARM NN, the absence of a Could not load ANN shared libraries log entry means it loaded successfully.And I do NOT get the load error.
I've tried the https://github.com/JeffyCN/mirrors/raw/libmali/firmware/g610/mali_csffw.binq and equivalent from https://github.com/tsukumijima/libmali-rockchip/releases
I got the firmware from https://github.com/JeffyCN/mirrors/raw/libmali/firmware/g610/mali_csffw.binq but it does not make any difference no-matter if I include that file or not.
Between each test I've completely reset the system nuking all images and deleting storage. I get a segfault when the machine learning algo runs
Relevant logs attached, and part with error highlighted below:
message.txt7.35KB
message.txt17.03KB
