D3D9On12
ROCm
D3D9On12 | ROCm | |
---|---|---|
10 | 198 | |
337 | 3,637 | |
1.5% | - | |
6.2 | 0.0 | |
29 days ago | 6 months ago | |
C++ | Python | |
MIT License | MIT License |
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D3D9On12
- DirectX9 on DirectX12 Mapping Layer
- [CPU + GPU BUNDLE] i5-12600KF + Arc A750 + Play & Create software $590 - $20 coupon = $570 free shipping. [Canada Computers]
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Conspiracy Theory Time: Microsoft is planning a ultimatum for Graphics's APIs alternatives
No Intel is not using dxvk but https://github.com/microsoft/D3D9On12, the DXVK is just a reimplementation and not a WDDM compatible UMD driver, because of this the DXVK will never be accepted a part of Wine project, the DXVK not use the same D3D9 and D3Dcompiler from Microsoft, the DXVK replaces this and not give a UMD D3D9 adapter with WDDM component, because this the DXVK never be used to replace a driver.
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Getting ready to put it all together.
When Intel first shipped Arc, D3D9 games all ran via a layer called D3D9On12 which isn't very performance optimized. Last week's driver adds two additional modes - DXVK (an open source equivalent to D3D9On12 which targets Vulkan, used widely as part of Steam on Linux) and a port of their old D3D9 driver for Intel HD Graphics. The driver decides which of the three drivers to use based on the app name, which is based on their internal benchmarking of which works best per-game (e.g. you can force any game to run via DXVK by renaming the .exe to csgo.exe)
- Intel is using DXVK for their Windows Arc GPU DX9 drivers
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Arc A770 Available 10/12 for $329
Intel has officially declared they are providing full DirectX 9 support via D3D9on12 .
- Intel’s dropping native support for DirectX 9 games in favor of emulation (not DXVK)
- Which Intel Graphics Products Support DirectX 9* (DX9)?
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GPU Architecture Types Explained
> rewrite d3d9.dll to emulate the API in user mode on top of D3D12.
There seem to be such a project actually, just released to open source:
https://github.com/microsoft/D3D9On12
https://devblogs.microsoft.com/directx/open-sourcing-direct3...
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
What are some alternatives?
tensorflow-directml - Fork of TensorFlow accelerated by DirectML
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
oneAPI.jl - Julia support for the oneAPI programming toolkit.
SHARK - SHARK - High Performance Machine Learning Distribution
llama.cpp - LLM inference in C/C++
plaidml - PlaidML is a framework for making deep learning work everywhere.
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
tensorflow-upstream - TensorFlow ROCm port
ROCm-OpenCL-Runtime - ROCm OpenOpenCL Runtime
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.