@xulongwu4 , in the discussion I also read that for some people the change in config.toml was not sufficient. But for me it resolved the issue and I was able to use GPU within a docker container.

Ok, my fault. Calibre is a python program and I activate an Anaconda environment by default. So calibre uses that python installation which don't have the dbus libraries. So its not a bug and you can close this issue. I apologize and many thanks for your efforts.

All packages are ok. And I have the same problem on two different computers with Solus Plasma.

Everything up-to-date, checked it. Tested it on another Laptop with Budgie, there it is working. Seams to be Plasma related only.

Ok, my fault. Just a missing dependency. libgtksourceview needs to be installed manually.

For some progress on AMD ROCm see my comment here: ROCm tensorflow

Everybody who has an AMD gpu has now a possibility for machine learning under Solus. I just got an gpu accelerated MNIST example to run :) With kernel 4.18 just type the command

echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules

(see ROCm for details). After that just pull the rocm tensorflow docker image (rocm-tensorflow) and thats it. Happy machine learning ...

@DataDrake : I guess you had a lot of work regarding moving the infrastructure and you did a great work on that. I just want to know if there are any news on the AMD ROCm topic ? Last Friday AMD released ROCm 1.9, the version that should fully support Kernels since version 4.17.

@DataDrake Thank you very much for your response, that are fantastic news !
By the way, if you need some testing, maybe I can help you. I have a RX580 which should be fully supported with Kernel 4.17.

Hi everyone. I do not know, how much work you already put into getting ROCm to run on Solus. I did some tests recently and I want to share my experiences.

Sorry, my fault. Up until now the meaning of "triage" was not clear to me. Never heard that word before (-:

@kyrios123 mentioned that Cuda 9 is a releases candidate. The status changed and CUDA 9 is downloadable now without any registration. Maybe it is now a possibility for packaging into Solus ?