PlaidML through OpenCL (Really fast!!!)
Pytorch using RocM on your GPU
And you can compile and run HIP code which is almost the same as CUDA.
Also recent versions of RocM 5.2 onwards are compatable with the NAVI graphics cards albeit without the support of MIOPEN (An optimizer for RoCM for each GPU)
Ok start by installing Fedora 31.
Boot in then run an update using
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sudo dnf update
This should upgrade your kernel from 5.3 to 5.8 (Ok reboot now with your new kernel)
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sudo reboot
Ok now I gleemed this online from various sources because the Fedora install and the amd install methods all break.
Use instead either the Redhat EL8 repos or the Centos8 repos by doing the following(I used Centos):
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sudo tee /etc/yum.repos.d/ROCm.repo <<EOF
[ROCm]
name=ROCm
baseurl=http://repo.radeon.com/rocm/centos8/rpm
enabled=1
gpgcheck=1
gpgkey=http://repo.radeon.com/rocm/rocm.gpg.key
EOF
Ok and here are the installs for rocm you need to edit the rocm_agent_enumerator
to work with fedoras python.
This will do that and install everything you need.
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sudo dnf install rocm-device-libs hsakmt-roct hip-samples hipify-clang
dnf repoquery --location rocminfo
sudo rpm -Uvh --nodeps http://repo.radeon.com/rocm/centos8/rpm/rocminfo-1.0.0.50200-65.el8.x86_64.rpm
sudo sed -i 's/^#!.*/#!\/usr\/bin\/python/' /opt/rocm-5.2.0/bin/rocm_agent_enumerator
sudo dnf install hsa-amd-aqlprofile
sudo dnf install rocm-opencl rocm-opencl-devel
sudo dnf hip-runtime-amd5.2.0.x86_64
Also and I nearly forgot to mention if you are using a NAVI gpu card like mine is RX 5500 XT or something similar it will say NAVI 10 when you do
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lspci
Then you should do this so that ROCM works in pytorch:
Install Pytorch with ROCM
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pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.1.1
And for NAVI cards,
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export HSA_OVERRIDE_GFX_VERSION=10.3.0
This should make RoCM work on your machine!!
Now follow these instructions to run StableDiffusion in a WebGui on your AMD gpu under Fedora:
https://github.com/AUTOMATIC1111/stable ... n-AMD-GPUs