ROCm
compute-runtime
ROCm | compute-runtime | |
---|---|---|
198 | 58 | |
3,637 | 1,066 | |
- | 1.4% | |
0.0 | 10.0 | |
5 months ago | 6 days ago | |
Python | C++ | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ROCm
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AMD May Get Across the CUDA Moat
Yep, did exactly that. IMO he threw a fit, even though AMD was working with him squashing bugs. https://github.com/RadeonOpenCompute/ROCm/issues/2198#issuec...
- ROCm 5.7.0 Release
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ROCm Is AMD's #1 Priority, Executive Says
Ok, I wonder what's wrong. maybe it's this? https://stackoverflow.com/questions/4959621/error-1001-in-cl...
Nope. Anything about this on the arch wiki? Nope
This bug report[2] from 2021? Maybe I need to update my groups.
[2]: https://github.com/RadeonOpenCompute/ROCm/issues/1411
$ ls -la /dev/kfd
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Simplifying GPU Application Development with HMM
HMM is, I believe, a Linux feature.
AMD added HMM support in ROCm 5.0 according to this: https://github.com/RadeonOpenCompute/ROCm/blob/develop/CHANG...
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AMD Ryzen APU turned into a 16GB VRAM GPU and it can run Stable Diffusion
Woot AMD now supports APU? I sold my notebook as i hit a wall when trying rocm [1] Is there a list oft Wirkung apu's ?
[1] https://github.com/RadeonOpenCompute/ROCm/issues/1587
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Nvidia's CUDA Monopoly
Last I heard he's abandoned working with AMD products.
https://github.com/RadeonOpenCompute/ROCm/issues/2198#issuec...
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Nvidia H100 GPUs: Supply and Demand
They're talking about the meltdown he had on stream [1] (in front of the mentioned pirate flag), that ended with him saying he'd stop using AMD hardware [2]. He recanted this two weeks after talking with AMD [3].
Maybe he'll succeed, but this definitely doesn't scream stability to me. I'd be wary of investing money into his ventures (but then I'm not a VC, so what do I know).
[1] https://www.youtube.com/watch?v=Mr0rWJhv9jU
[2] https://github.com/RadeonOpenCompute/ROCm/issues/2198#issuec...
[3] https://twitter.com/realGeorgeHotz/status/166980346408248934...
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Open or closed source Nvidia driver?
As for rocm support on consumer devices, AMD wont even clarify what devices are supported. https://github.com/RadeonOpenCompute/ROCm/pull/1738
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Why Nvidia Keeps Winning: The Rise of an AI Giant
He flamed out, then is back after Lisa Su called him (lmao)
https://geohot.github.io/blog/jekyll/update/2023/05/24/the-t...
https://www.youtube.com/watch?v=Mr0rWJhv9jU
https://github.com/RadeonOpenCompute/ROCm/issues/2198#issuec...
https://geohot.github.io/blog/jekyll/update/2023/06/07/a-div...
On a personal level that youtube doesn't make him come off looking that good... like people are trying to get patches to him and generally soothe him/damage control and he's just being a bit of a manchild. And it sounds like that's the general course of events around a lot of his "efforts".
On the other hand he's not wrong either, having this private build inside AMD and not even validating official, supported configurations for the officially supported non-private builds they show to the world isn't a good look, and that's just the very start of the problems around ROCm. AMD's OpenCL runtime was never stable or good either and every experience I've heard with it was "we spent so much time fighting AMD-specific runtime bugs and specs jank that what we ended up with was essentially vendor-proprietary anyway".
On the other other hand, it sounds like AMD know this is a mess and has some big stability/maturity improvements in the pipeline. It seems clear from some of the smoke coming out of the building that they're cooking on more general ROCm support for RDNA cards, and generally working to patch the maturity and stability issues he's talking about. I hate the "wait for drivers/new software release bro it's gonna fix everything" that surrounds AMD products but in this case I'm at least hopeful they seem to understand the problem, even if it's completely absurdly late.
Some of what he was viewing as "the process happening in secret" was likely people doing rush patches on the latest build to accommodate him, and he comes off as berating them over it. Again, like, that stream just comes off as "mercurial manchild" not coding genius. And everyone knew the driver situation is bad, that's why there's notionally alpha for him to realize here in the first place. He's bumping into moneymakers, and getting mad about it.
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Disable "SetTensor/CopyTensor" console logging.
I tried to train another model using InceptionResNetV2 and the same issues happens. Also, this happens even using the model.predict() method if using the GPU. Probably this is an issue related to the AMD Radeon RX 6700 XT or some mine misconfiguration. System Inormation: ArchLinux 6.1.32-1-lts - AMD Radeon RX 6700 XT - gfx1031 Opened issues: - https://github.com/RadeonOpenCompute/ROCm/issues/2250 - https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/issues/2125
compute-runtime
- Intel Graphics Compute Runtime for OneAPI Level Zero and OpenCL
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Alder Lake HDR tone mapping
Well... Fuck! https://github.com/intel/compute-runtime/issues/643
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Proxmox VE 8.0 released!
For what it's worth, I was able to get IOMMU enabled and iGPU passthrough working for Plex on an Ubuntu 22.04 LXC container with a fresh install of Proxmox 8.0.3 (kenrel 6.2.16-3-pve) on an Intel i5-13400, ASRock B760M Pro RS/D4, also using Intel drivers released early today. I largely followed this guide.
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rocm-opencl (rocm-opencl-runtime) rx 6600 xt support
For this little project unless someone chimes in with experience or can point to regarding the RX 6600 XT / 6650 XT / perhaps 7600 I might go with https://github.com/intel/compute-runtime . (They don't have perfect documentation re supported gpus either, the readme table doesn't list DG2, you need to go to releases to see that) . Phoronix reported it as pretty stable when they tested it with kernel 6.2 in March.
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Vladmandic Stable Diffusion added Intel ARC GPU support on Linux
Update: I was able to fix my issue. I'm using Ubuntu 22.04.2 LTS and have the newest available kernel, 6.3.1. Installing the drivers via apt does not work, instead I needed to use https://github.com/intel/compute-runtime/releases/
- Intel Arc Driver Overhead - Just a Myth?
- How do you allocate more than 4GB of memory for OpenCL in A770 16GB?
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Proxmox iGPU passthrough to LXC not working
Drivers: https://github.com/intel/compute-runtime/releases
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Stable Diffusion Web UI for Intel Arc
wget https://github.com/intel/compute-runtime/releases/download/22.43.24595.30/intel-level-zero-gpu-dbgsym_1.3.24595.30_amd64.ddeb
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Current state of Intel Arc transcoding
For OpenCL HDR/DV tone-mapping, install the extra compute-runtime if running on host.
What are some alternatives?
tensorflow-directml - Fork of TensorFlow accelerated by DirectML
jellyfin-ffmpeg - FFmpeg for Jellyfin
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
kbct - Keyboard keycode mapping utility for Linux supporting layered configuration
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
docker-jellyfin
oneAPI.jl - Julia support for the oneAPI programming toolkit.
PMS_Updater - Shell script for updating the Plex Media Server inside the FreeNAS Plex plugin
SHARK - SHARK - High Performance Machine Learning Distribution
hawck - Key-rebinding daemon for Linux (Wayland/X11/Console)
llama.cpp - LLM inference in C/C++
intel-graphics-compiler