> things/approaches that are fast on Nvidia can be 10x slower on AMD and vice versa. That's fine but the job of software is to abstract that out. The code shou

> things/approaches that are fast on Nvidia can be 10x slower on AMD and vice versa. That's fine but the job of software is to abstract that out. The code should at least compile, even if it is 10x less efficient and if multiple awkward sets of instructions need to be used instead of one. If Pytorch can be recompiled for AMD overnight with zero effort (only `ln -s amdcc nvcc`, `ln -s /usr/local/cuda /usr/local/amda`) they will gain some footing against Nvidia.