2017 and we still can’t support AMD hardware, why?
Not all of us own NV hardware. Some of us want to use these tools at home without having to make a new purchase or purchase some AWS time. Not all of us are research scientists with fat grants allowing us to buy the latest NV hardware. When will the vendor lock-in stop? Surely “free” tools should be open to all.
yaxattax
Lots of work need to be done to reach Nvidia’s performance. Cudnn is a huge step for performance that AMD does not have yet. There was OpenCL support for torch, but pragmatically everyone just turned to CUDA devices. If someone is willing to make a cudnn equivalent maybe it would change.
ClementPinard
Please see this thread for more details. We are waiting for HIP to be released from AMD.
smth
Felix_Lessange
gvskalyan
Did you have a good experience using ROCm?
Madegomez