#Rusticl + #radeonsi works with #hashcat! The dictionary mode at least.
Trying to use brute force fails on the self test.
Still better than clover, which makes the GPU hang up so badly I can't even turn off the computer.
This is awesome cause this #APU (#Ryzen 2400G) is not supported by #rocm. Rusticl is the best #opencl I can get right now.
#Rusticl #radeonsi #hashcat #apu #ryzen #rocm #opencl
The #rocm examples at https://github.com/amd/rocm-examples/blob/develop/HIP-Basic/runtime_compilation/main.hip are nice, but it is annoying that they are in C++ when the underlying API is in C.
Here, have a few #ponies #AI generated today from my local computer setup.
Had issues starting off, because after a crash and not dumping memory. Long story short I generate batches of 4 images at 768x768 at a time, then when I get one I like I move to img2img regenerate for hopefully better image and higher resolution at 1536x1536 - can only do one at a time though
The issue lies in #ROCm not supporting FP16 operations, so uses 2x more memory and takes 2x longer than it should.
Need to run large MPI jobs across multiple #AMD GPUs?
Don't miss our latest #AMDlabnotes blog post covering #GPU-aware MPI with #ROCm support 👇
#ROCm 5.5.1 Released For #AMD's #OpenSource Compute Stack
The officially supported GPUs currently with ROCm are the Instinct MI50, Instinct MI60, Radeon VII, Radeon Pro VII, Radeon Pro W6800, Radeon Pro V620, Instinct MI100, and Instinct MI300. While there has been #RDNA3 movement with ROCM, so far the recently announced Radeon Pro W7800/W7900 series are yet to be officially listed.
https://www.phoronix.com/news/AMD-ROCm-5.5.1
#AMD #ROCm 5.5 Released With RDNA3 Improvements, Many Changes
https://www.phoronix.com/news/ROCm-5.5-Released
Original tweet : https://twitter.com/phoronix/status/1653349014429999105
#AMD #ROCm 5.5 In The Process Of Being Released
-- Much better RDNA3 support!
https://www.phoronix.com/news/ROCm-5.5-Releasing
Original tweet : https://twitter.com/phoronix/status/1653143397593501700
혹시 AMD 그래픽 카드 쓰시는 분 중에 SD 돌리실 분 있으면... 쓰세요.
#Rusticl es uno de los componentes más prometedores de Mesa, ya que puede brindar un buen soporte de #OpenCL para #AMD #Radeon sin tener que tirar de componentes raros que son soportados por pocos sistemas.
Parece que en rendimiento puede dar alcance a #ROCm, pero habrá que ver si soluciones como DaVinci Resolve dan soporte a través de él, ya que el software profesional es muy tendente a seguir un modelo más bien propio de principios de los años 90 del siglo pasado. https://www.phoronix.com/news/Rusticl-RadeonSI-Near
#rusticl #opencl #amd #radeon #rocm
The end might be neigh for my trusty Vega 56 #GPU. :blobcatsad:
* #ROCm wonder
* #Linux friendly drivers
* ML thesis workhorse
* CIV6/Modded Skyrim time-waster-enabler
* Pandemic survivor
...but playing with #stablediffusion models now causes screen artifacts followed by machine reboots. Every time. Oof.
You will be missed old friend.
Any recommendations on a logical ROCm-supported replacement attainable by mere mortals? RX 6800?
#gpu #rocm #linux #stablediffusion
The @gnutools #GDB Debugger Adds Support For Debugging @amdradeon #ROCm / HIP Code
https://www.phoronix.com/news/GDB-ROCm-HIP-Debugging
Original tweet : https://twitter.com/phoronix/status/1621171679643987969
Want to build #ROCm on your #Linux workstation? 🐧
#AMDlabnotes presents a new blog post covering three possible ways to install ROCm.
Take a look now over on on #gpuopen
#gpuopen #amdlabnotes #linux #rocm
#AMD #ROCm 5.4.2 Released As Another Small Update To The Compute Stack
https://www.phoronix.com/news/AMD-ROCm-5.4.2
Original tweet : https://twitter.com/phoronix/status/1614227281635061762
ROCm in [community]
https://www.phoronix.com/news/Radeon-ROCm-5.4.1
Original tweet : https://twitter.com/phoronix/status/1603536839347937280
#AMD #ROCm 5.4 Released With HIP Improvements
https://www.phoronix.com/news/AMD-ROCm-5.4-Released#rocm
Original tweet : https://twitter.com/phoronix/status/1598048591586918400
Okay, tried my first hand at #StableDiffusion and the results were pretty interesting. However also pretty slow (10 minutes for a batch of 6 images on my 7950x).
I don't want to mess with #ROCm too much, so I wonder if there is another way to make it run on the GPU. #rusticl / #clvk? Also I started wondering how hard it would be to add enough #vulkan support to #pytorch ? (I always wanted a usecase for VK_NV_cooperate_matrix 🙃 )
Theoretically my GPU should be enough for a 10x speedup ...
#pytorch #vulkan #clvk #Rusticl #rocm #stablediffusion