I have a (rather different!) application that’s released as a Flatpak, and GPU acceleration is CUDA-only there, too. It supports ROCm when compiled locally, but ROCm just can’t work through the sandbox at this point, unfortunately. Not for lack of trying.
If you have an example of a Flatpak where it does work, I’d love to see their manifest so I can learn from it.
Seems to only support cpu or cuda, not AMD sadly.
https://github.com/ladaapp/lada
For the prepackaged flathub or docker installations.
Great news, you can run this software with an AMD GPU fine, just follow the installation instructions in your link and install pytorch for ROCm. https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html
I have a (rather different!) application that’s released as a Flatpak, and GPU acceleration is CUDA-only there, too. It supports ROCm when compiled locally, but ROCm just can’t work through the sandbox at this point, unfortunately. Not for lack of trying.
If you have an example of a Flatpak where it does work, I’d love to see their manifest so I can learn from it.
@PlantPowerPhysicist @HappyFrog f(l)atpak is workaround, not solution. It should not work in non-default configuration
You do realize people don’t care if it uses extra 200mb of space, if they don’t have to build it from GitHub or break their repos.