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I am getting some conflicting messages about support. There is a small group of people working on ROCm for Julia (in AMDGPU.jl) and while that work is still alp

I am getting some conflicting messages about support. There is a small group of people working on ROCm for Julia (in AMDGPU.jl) and while that work is still alpha quality, they seem to expect even devices as old as RX 580 to work. Are all of these support issues something that is on the ROCm/AMD/driver side, or are they on the side of libraries like pytorch?

snovv_crash 6y ago
RX580 had a pro version which got ROCm support. It's the newer cards and older cards which aren't supported.
- dnautics 6y ago
  Can confirm, I made an 8x rx580 rig for an r&d project specifically for that reason.
  - freeqaz 6y ago
    Time to re-sell into the hot GPU market now? :P
    - dnautics 6y ago
      Don't work there anymore; even so that server is probably buried under loads of failed ideas.
- my123 6y ago
  RX580 is out of support for ROCm nowadays, which only supports Vega and Instinct now. https://github.com/RadeonOpenCompute/ROCm/issues/1353#issuecomment-753772733 https://github.com/RadeonOpenCompute/ROCm/issues/1353#issuec...
jpsamaroo 6y ago
This is an issue with AMD not wanting to long-term support the code paths in ROCm components necessary to enable ROCm on these devices. My hope is that Polaris GPU owners will step up to the plate and contribute patches to ROCm components to ensure that their cards keep working, when AMD is unwilling to do the leg work themselves (which is fair, they aren't nearly as big or rich as NVidia).