At this point, rather than chasing CUDA/cuDNN compatability, it would seem more productive for AMD to be targetting high level language support. Forget CUDA com

At this point, rather than chasing CUDA/cuDNN compatability, it would seem more productive for AMD to be targetting high level language support. Forget CUDA compatibility, and instead support work such as Mojo and MLIR. It seems that in an ideal world PyTorch support for AMD wouldn't rely on ROCm, but rather be based on high level code compiled to MLIR with AMD target support, with this same MLIR representation supporting Mojo and any other languages such as Julia that want optimized AMD support.