100%. If you ever tried to build pytorch (or tensorflow) gpu accellerated using NVidia vs AMD it was absolutely chalk and cheese for the longest time. Nvidia/C

100%. If you ever tried to build pytorch (or tensorflow) gpu accellerated using NVidia vs AMD it was absolutely chalk and cheese for the longest time. Nvidia/CUDA process: Download package. Run the build. It works. Run your thing- it's GPU accelerated. Go get a beer/coffee/whatever while your net runs. AMD process: Download package. Run the build. Debug failure. Read lots of articles about which patches to apply. Apply the patches. Run the build. It fails again. Shit. OK ok now I know what to do. I need a special fork of the package. go get that. Find it doesn't actually have the same API that the latest pytorch/tf relies on. OK downgrade those to an earlier version. OK now we're good. Run the build again. Aw shit. That failed again. More web searches. Oh ok now I know - there's some other patches you need to apply to this branch. OK cool. Now it compiles. Install the package. Run the thing. Huh. That's weird. GPU accelleration isn't on.... sigh....