Try this to install ROCm v 4.something. Use Kernel up to 5.4 to be safe (5.4 started in 2020)
forum of DEBIAN TEAM WORKING ON ROCM PACKAGING
AMD's repo of Pytorch. This is the branch I succesfully built.
GeForce RTX 3060 12GB is generally minimum recommended for AI inference and some training
NON-passmark comparisons of GPU. Vega 8 is better than Vega 7.
SHOWS EXACTS SPECS OF CPU OR APU INCLUDING GRAPHICS
2x16GB $89, or $80 for open box. This is close to my current memory, but is Ripjaws vs my TridentZ
$104 for 2x16G. Open box for $94. This is the closes to my current memory.
$249, at Canadacomputers, they also have open box for $224. BUY THIS, NOT THE AMD Ryzen 5 5600GT(VEGA7), BECAUSE THIS HAS VEGA8, FASTER THAN VEGA7, AND SAME AS VEGA8 ON LAPTOP 2500U.
Compare Distinct graphics cards with AMD APUs. Result: Buy Ryzen 5700G, or AMD Ryzen 5 5600GT as GPU is the same. BUT Ryzen 5700G has 25% better CPU
Buy the Ryzen 5 5600GT (6 graphics cores, $189CDN) but also consider AMD Ryzen 7 5700G (8 graphics cores, now on sale $245CDN)
$189 in Canadacomputers
Install Pytorch on ROCm from AMD git repo. TRY THIS!!!
Describes flags that build PyTorch locally - maybe I should try that!!
This guy claims he got both gfx900 and gfx902 working. I asked to try my test.
Another attempt failed for me.
Database of AMD GPUs. Here we can see that 2500U is Vega 8 mobile , which is GCN 5.0. This is only supported in ROCm up to 4.5.2!!
Rusticl seems equivalent of rocm.
This site seems to claim there is a known fix. Looks like someone is fixing it???
Installing PyTorch for ROCm - this document claims gfx900 compatibility
Looks like gfx900, gfx902, gfx909 and gfx90c are the same
Pytorch packages from AMD. Goes with amdgpu-install packages in https://repo.radeon.com/amdgpu-install/
Repo of rocm (amdgpu) packages from amd. The last version 4, 4.5.2 is under 21.40.2. Try to install with Kernel 5.4 (release 2020). Same packages under different old names are at https://repo.radeon.com/rocm/apt/
Suggested git-build of pytorch on gfx90c FAILED for me
venv is Python build-in module; pyvenv is Python script on top of venv. pyenv is a OS-level thing. All of them allow to create virtual environments
