Can you give me another GPGPU framework that puts in the effort to have up-to-date benchmark comparisions between different hardware? Just as an example I just

Can you give me another GPGPU framework that puts in the effort to have up-to-date benchmark comparisions between different hardware? Just as an example I just bought an M1 laptop. Even PyTorch CPU cross-compiling hasn't been done properly, and TensorFlow support is full of bugs. I hope that with M1X it will be taken more seriously by Apple. I understand your point (Julia is a great example), but trying to support a rarely used hardware with a rarely supported framework is just not practical. (Stick with CUDA.jl for Julia :) )