-
-
Save tonykero/8ceb62868378ee11e36b07f975731d26 to your computer and use it in GitHub Desktop.
| ## Will successfully install amdgpu drivers and rocm, | |
| ## but pointless as there is no gpu device attached to WSL2 (only CUDA and DirectML is supported, not /dev/kfd or amd gpus) | |
| ## ROCM/HIP | |
| sudo apt update | |
| sudo apt dist-upgrade | |
| sudo apt install libnuma-dev | |
| wget -q -O - http://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add - | |
| echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main' | sudo tee /etc/apt/sources.list.d/rocm.list | |
| sudo apt update | |
| sudo apt install rocm-dkms | |
| sudo usermod -a -G video $LOGNAME | |
| sudo usermod -a -G render $LOGNAME | |
| ## TEST | |
| /opt/rocm/bin/rocminfo | |
| /opt/rocm/opencl/bin/clinfo | |
| ## AMDGPU DRIVER | |
| #http://cofal.work/2019/09/27/Ubuntu%E4%B8%8B%E5%AE%89%E8%A3%85ROCm%E8%BF%87%E7%A8%8B/ | |
| #https://askubuntu.com/questions/1097030/cant-install-amdgpu-pro-18-40-on-ubuntu-server-18-04-01 | |
| sudo apt update && sudo apt install -y build-essential clang clang-format clang-tidy cmake cmake-qt-gui ssh curl apt-utils pkg-config g++-multilib git libunwind-dev libfftw3-dev libelf-dev libncurses5-dev libpthread-stubs0-dev vim gfortran libboost-program-options-dev libssl-dev libboost-dev libboost-system-dev libboost-filesystem-dev rpm build-essential cdbs dh-make dkms execstack dh-modaliases | |
| sudo apt-get install linux-headers-4.15.0-20-generic | |
| sudo apt-add-repository universe | |
| sudo dpkg --add-architecture i386 | |
| sudo ./amdgpu-install --opencl=legacy --no-dkms | |
| sudo apt-get -o Dpkg::Options::="--force-overwrite" install amdgpu-dkms | |
| # for amdgpu-pro-install (use previously downloaded files in cache) | |
| amdgpu-uninstall | |
| sudo ./amdgpu-pro-install --opencl=legacy | |
| #https://askubuntu.com/questions/1040474/warning-amdgpu-dkms-failed-for-running-kernel-on-both-16-04-18-04 | |
| apt install amdgpu-dkms libdrm-amdgpu-amdgpu1 libdrm-amdgpu1 libdrm2-amdgpu | |
| # --- | |
| sudo apt-get -o Dpkg::Options::="--force-overwrite" dist-upgrade | |
| ## TEST | |
| /opt/rocm/bin/rocminfo | |
| /opt/rocm/opencl/bin/clinfo |
I was unaware that PyTorch-DirectML existed 🤔🤔🤔 hmmmmm. I might try that.
Also, the use case for me when it comes to ROCm and CuDNN/Cuda Tookit would be Game Development and Remastering games via harnessing the full power of my GPU.
@NickDeBeenSAE
pytorch_directml is actually very cool: it's how stable diffusion project works on AMD GPUs: https://github.com/search?q=repo%3Alshqqytiger%2Fstable-diffusion-webui-directml%20torch_directml&type=code
(in a fork though)
For Game Development I feel like you could exploit Vulkan Compute Shaders, depends on the flexibility you need for GPGPU programming.
Otherwise, another portable solution with SYCL is DPC++ https://oneapi-src.github.io/oneDNN/v2.5/dev_guide_dpcpp_backends.html, they seem to have an OpenCL backend, didn't test though.
Then apart from that, I'm convinced that nothing is mature, or not fully portable, having to fight with ROCm or CUDA seems a bother to me...
personal preference
I can mention https://github.com/halide/Halide also, which is C++ Centric, but supports a load of backend.
Hope you get what you searched for.
ROCm support seems avialable for windows already last month. There might be more people wondering this topic(like me :)), just like nvidia provide a WSL2 based solution for a long time.
BTW, does ROCm windows release make any difference on this topic? I'm totally new to ML and just want to learn.
same here, stuck at the accessing to /dev/kdf
same here, stuck at the accessing to /dev/kdf
How the hell did you manage to install the drivers?
ROCm support seems avialable for windows already last month. There might be more people wondering this topic(like me :)), just like nvidia provide a WSL2 based solution for a long time.
BTW, does ROCm windows release make any difference on this topic? I'm totally new to ML and just want to learn.
pytorch and tenserflow did not release any distribution that supports ROCm on Windows right now, ROCm comes to windows is just "come", it did not have any actual support from DL&ML models, I think it still a long way to go.
Seems amd is working on that wsl2 support now. In rocm 6.0.6 installer, there is a usecase option for wsl2, but I haven't tried that yet.
Seems amd is working on that wsl2 support now. In rocm 6.0.6 installer, there is a usecase option for wsl2, but I haven't tried that yet.
Where did you find 6.0.6 installer? I only see 6.0.2. I would like to test that out and see if it works
Seems amd is working on that wsl2 support now. In rocm 6.0.6 installer, there is a usecase option for wsl2, but I haven't tried that yet.
Where did you find 6.0.6 installer? I only see 6.0.2. I would like to test that out and see if it works
https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html
However apt reports can't locate hsa-runtime-rocr4wsl-amdgpu, so I think it is not opened to public now. Maybe we could see it working in rocm 6.1?
I'm getting the same issue, is there a way to list all --usecase options?
sudo amdgpu-install --list-usecase has an option for wsl:
wsl (for using ROCm in a WSL context)
- ROCr WSL runtime library (Ubuntu 22.04 only)
sudo amdgpu-install --usecase=wsl gives me this:
Hit:1 https://repo.radeon.com/amdgpu/6.0.2/ubuntu jammy InRelease
Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease
Hit:3 http://security.ubuntu.com/ubuntu jammy-security InRelease
Get:4 https://dl.modular.com/public/installer/deb/ubuntu jammy InRelease [3672 B]
Hit:5 https://repo.radeon.com/rocm/apt/6.0.2 jammy InRelease
Hit:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease
Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease
Fetched 3672 B in 0s (8270 B/s)
Reading package lists... Done
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
E: Unable to locate package hsa-runtime-rocr4wsl-amdgpu
So the wsl option seems to be mapped to hsa-runtime-rocr4wsl-amdgpu. Do you think there's an error in the package name it's mapped to?
I'm getting the same issue, is there a way to list all
--usecaseoptions?sudo amdgpu-install --list-usecasehas an option forwsl:wsl (for using ROCm in a WSL context) - ROCr WSL runtime library (Ubuntu 22.04 only)
sudo amdgpu-install --usecase=wslgives me this:Hit:1 https://repo.radeon.com/amdgpu/6.0.2/ubuntu jammy InRelease Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease Hit:3 http://security.ubuntu.com/ubuntu jammy-security InRelease Get:4 https://dl.modular.com/public/installer/deb/ubuntu jammy InRelease [3672 B] Hit:5 https://repo.radeon.com/rocm/apt/6.0.2 jammy InRelease Hit:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease Fetched 3672 B in 0s (8270 B/s) Reading package lists... Done Reading package lists... Done Building dependency tree... Done Reading state information... Done E: Unable to locate package hsa-runtime-rocr4wsl-amdgpuSo the
wsloption seems to be mapped tohsa-runtime-rocr4wsl-amdgpu. Do you think there's an error in the package name it's mapped to?
Maybe it is just not ready for wsl yet, and will release in future versions?
Same error with ROCm 6.1.
Opened an issue here: https://github.com/ROCm/ROCm/issues/3051
where is this damn mythical hsa-runtime-rocr4wsl-amdgpu ???
https://community.amd.com/t5/ai/new-amd-rocm-6-1-software-for-radeon-release-offers-more-choices/ba-p/688840
So WSL support would be ready at rocm 6.1.3
no it's here: https://youtu.be/p1jKqV9IV8I
Windows Driver: https://www.amd.com/en/resources/support-articles/release-notes/RN-RAD-WIN-24-10-21-01-WSL-2.html
Online Guide: https://rocm.docs.amd.com/projects/radeon/en/latest/docs/install/wsl/install-radeon.html
Offline PDF: https://rocm.docs.amd.com/_/downloads/radeon/en/latest/pdf/
where is this damn mythical
hsa-runtime-rocr4wsl-amdgpu???
Only exists in jammy/22.04 I manually added the old repos to a 24.10 install and got the packages installed, but there are other problems. Install a ubuntu 22.04 instance and it'll work fine.
but pointless as there is no gpu device attached to WSL2 (only CUDA and DirectML is supported, not /dev/kfd or amd gpus)
I shoud read this carefully before I try the scripts.
@NickDeBeenSAE I am really super sorry, I should probably hide or delete this gist, I did not think that someone would actually try my gist.
I did this 3 years ago and never clicked on it again, basically it installs but cannot do anything because as you mentioned it simply just does not work.
My use case at the time was for gpu accelerated machine learning on Windows, with an AMD GPU, but thanks to [PyTorch-DirectML] I don't need it anymore (https://learn.microsoft.com/en-us/windows/ai/directml/gpu-pytorch-windows)
But for SYCL with ROCm platform I think this is still blocking under Windows. (EDIT: actually this may have been my initial use case)
May I ask why are you trying to use ROCm for ?
Again really sorry for your loss of time, try to send a message under a gist to ask if it still works or something....