ghostplant
ghostplant
I think ROCm for APU has actually been supported using Linux kernel 4.20 + a special docker image with APU patches, whose gcnArch is recognized as `gfx902`.
@rohitsharma123123 Firstly, you should have Ubuntu 18.04, then upgrade your linux kernel to 5.0 for your system. Then install rocm-2.0-with-gfx902-patched from here: https://github.com/ghostplant/public/releases/download/ubuntu/ubuntu_bionic-rocm2_gfx902.tar.gz After that, you can compile any HIP...
@rohitsharma123123 If you use 16.04, upgrade kernel to 5.0 is still needed, and you can download a 18.04 docker image and install packages inside. I don't have pre-built pytorch-rocm for...
@rohitsharma123123 Actually, gfx902 performs only about 20x faster than single CPU thread, so you should not expect it can do much useful work.
You can use https://github.com/ghostplant/public/releases/download/ubuntu/ubuntu_bionic-rocm2_gfx902.tar.gz to create a ubuntu:18.04 docker image, then inside the image, you can follow standard way to compile latest https://github.com/ROCmSoftwarePlatform/tensorflow-upstream. Might have some slight failures during the...
The error happens on this line, which doesn't take effect, so the finally answer is half of the correct sum: ```sh .. { int s = 256; if (y_id %...
@sunway513 Any attention for this compiler bug? Hope to fix it soon~
@sunway513 Yeah, this compiler bug has a seriously bad impact on ROCm stability.
@eukaryote31 What is the output of command `rocm_agent_enumerator` in your environment?
@smithakihide Is hcc program runnable on Windows?