Hi Torsten, thanks a lot for your work! I am here to ask if it's planned to create a group for these packages. That would make it a lot easier to install all of the (currently available) toolchain at once. Best, Sefa On Fri, 2022-12-23 at 16:20 +0100, Torsten Keßler wrote: > Hi all! > > I'm excited to announce that basic ROCm support was added to > [community-testing] yesterday! > > What is ROCm? > ROCm is AMD's open source framework for GPU programming. It comprises > an > OpenCL implementation, HIP (AMD's CUDA) and OpenMP offloading. > > Which GPUs are supported? > Official support is limited, see [1]. > > Which parts were added to [community-testing]? > The low level components (rocminfo, rocm-smi-lib), the OpenCL runtime > (rocm-opencl-runtime) and the HIP runtime / compiler (hip-runtime- > amd). > > How can I use it? > Install (hip-runtime-amd rocm-smi-lib rocm-opencl-runtime) to use all > currently available packages. First check if the amdgpu kernel module > is > loaded and add your login user to the video and render groups. Run > /opt/rocm/bin/rocminfo to validate that the HSA runtime correctly > detects your hardware. You can also check the output of clinfo for > OpenCL support. > > Use case: blender > First, install hip-runtime-amd and add /opt/rocm/bin to PATH. Open > blender, go to Edit -> Preferences and select "HIP" in "System / > Cycles > Render Devices". Open your favorite scene and select "GPU compute" in > "Render Properties". You can monitor the GPU load with > > watch -n.1 rocm-smi > > if you've installed rocm-smi-lib. > > What's next? > Add the ROCm math libraries (rocblas, rocsparse, rocfft, ..) that are > needed for Machine Learning and many other applications. > > Best! > Torsten > > [1] > https://docs.amd.com/bundle/Hardware_and_Software_Reference_Guide/page/Hardware_and_Software_Support.html
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