@yangjunpro Really happy to see another solution for TensorCore. You are right! I just extend tvm intrinsic to support it. It does cause programmers who write the schedule some trouble. It is not easy to write a high-performance schedule.
I'm really curious about how to use IR passes to recognize the pattern. Does it need to split into several loops of 16 in python code? I appreciate it if you can show me some details and simple examples -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/4052#issuecomment-537821079
