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I think PyTorch support is decent, I use it on my Radeon VII a lot. - You can compile on https://lernapparat.de/pytorch-rocm/ https://lernapparat.de/pytorch-roc
by t-vi 6y ago
I think PyTorch support is decent, I use it on my Radeon VII a lot.
- You can compile on https://lernapparat.de/pytorch-rocm/ https://lernapparat.de/pytorch-rocm/ (disclaimer my own link)
- Arch has support out of the box: https://aur.archlinux.org/packages/python-pytorch-rocm/ https://aur.archlinux.org/packages/python-pytorch-rocm/
- AMD also has a ROCm docker with PyTorch (https://rocmdocs.amd.com/en/latest/Deep_learning/Deep-learning.html#recommended-install-using-published-pytorch-rocm-docker-image https://rocmdocs.amd.com/en/latest/Deep_learning/Deep-learni...)
- If you know the secret URL (which you can infer from the other URLs on the front page), there are also test wheels for rocm3.8.
So AMD got a lot of heat for not supporting Navi (RDNA) with ROCm, but it seems that they are weeding out the things keeping people from running it ( https://github.com/ROCmSoftwarePlatform/pytorch/issues/718 https://github.com/ROCmSoftwarePlatform/pytorch/issues/718 and the links in that look like gfx10 is almost there for rocBlas and MIOpen). We'll see what ROCm 3.9 will bring and what the state of big navi is.
- fluffything 6y agoI have a 5800 XT and I've just given up on ROCm support for it at this point. Why would I get a Radeon VII when used nvidia cards for machine learning are extremely cheap, and then I don't have to worry about experimental stuff breaking one day before deadline lol
- philjohn 6y agoPart of it is also AMD segmenting their gaming cards (RDNA) from their compute-focussed cards (CDNA).