theofficialgman

https://github.com/Zelda64Recomp/Zelda64Recomp/assets/28281419/a0e24ee9-e90f-4f84-9235-453d86006d15 Once you have created x86_64 CI, I am happy to help with arm64 CI.

> I believe github has an action runner for ARM Linux, so it should just be a matter of adapting the existing CI to it. They don't yet publicly actually...

rebased and waiting for approval

So funny thing about https://github.com/Zelda64Recomp/Zelda64Recomp/pull/214/commits/50644954d7b6a0928cf1b42724348b62905f51c8 I did not need it on my first system because I had [box64](https://github.com/ptitSeb/box64) installed and the x86_64 binary ran through it without me catching that...

blocked by this as well https://github.com/theofficialgman/MuseScore/actions/runs/5554320081/jobs/10143965652#step:7:12459

also just to add, the above is on arm64v8/ubuntu:bionic where it is failing. It used to work (about 2 months ago)

I created an issue upstream https://gitlab.com/qemu-project/qemu/-/issues/1763

I suggest referring to system-monitoring-center for how to obtain these statistics for more devices in a semi-uniform way https://github.com/hakandundar34coding/system-monitoring-center/blob/e0c6246d38af487a378adf486eed61485eea7566/src/Gpu.py#L432-L711

Nvml and Nvidia smi don't exist on the Jetsons. I helped write system monitoring center so can guarantee it does use the /load path for this system. Read my linked...

@neofeo I personally just forked mangohud a long time ago since making this issue and implemented it and lots of other tegra specific clocks/loading myself. Ram bandwidth, clocks, gpu load,...