ROCm
rocm-arch
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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
rocm-arch
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im trying to install AMD radeon software but i keep getting this dependency issue
I never could get rocm/hip to work on mint after going round and round several times over months. I finally switched distros and had it running in minutes under an arch based distro using https://github.com/rocm-arch/rocm-arch
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Blender with AMD on Linux.
I struggled for some time trying to make AMD's Rocm/HIP work in linux so I could use my GPU with blender. Never could get it to work across several distros (mint, ubuntu, fedora). I finally dropped it and just ran GPUless for months. I have since found myself on Manjaro and gave it another try after finding this github. Using this on manjaro I was able to install rocm/hip in NO time and am now using blender with my AMD GPU in linux.
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ROCm 4.5.2 Downgrade for Vega 10 Support
To do this, you need to use the repository: https://github.com/rocm-arch/rocm-arch and checkout to commit 135aa026557d7c11d5f446d6c01521535e9e5747
- polar opposites
- I need assistance interpreting a specific error and understanding the purpose of the code that is referenced by the error, please.
- Finally, ROCm packages in [community]!
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Help with installing ROCm on GFX803
To make it brief. Trying to install rocm-opencl-runtime and rocm-hip-runtime from rocm-arch on github.
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Limit AUR build cores; paru
rocm-arch README
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Blender 3.3 Released With Intel oneAPI Backend, Improved AMD HIP Support
Then why doesn't it work unless I have this installed?
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Be careful guys
Yeah, I had to install rocm using this method https://github.com/rocm-arch/rocm-arch. Afaik, it doesn't replace mesa, but provides OpenCL and HIP.
What are some alternatives?
tensorflow-directml - Fork of TensorFlow accelerated by DirectML
tensorflow-upstream - TensorFlow ROCm port
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
rocFFT - Next generation FFT implementation for ROCm
oneAPI.jl - Julia support for the oneAPI programming toolkit.
aurpublish - PKGBUILD management framework for the Arch User Repository
SHARK - SHARK - High Performance Machine Learning Distribution
HIP - HIP: C++ Heterogeneous-Compute Interface for Portability
llama.cpp - LLM inference in C/C++
ROCm-OpenCL-Runtime - ROCm OpenOpenCL Runtime
plaidml - PlaidML is a framework for making deep learning work everywhere.
nvchecker - New version checker for software releases