Thanks @lhutton1 , for relax and moving forward, one canonical example that can be helpful is the [https://github.com/apache/tvm/tree/main/python/tvm/dlight](dlight) package, which defines pattern matching and apply of transforms, that can then be used as part of pass.
Right now dlight started from gpu based schedule for LLMs but would be great to expand it to include CPU flows. Notably the operator definition still resides in topi or other places and dlight focuses on detecting TIR pattern and apply transformations -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/107#issuecomment-1991793518 You are receiving this because you are subscribed to this thread. Message ID: <apache/tvm-rfcs/pull/107/c1991793...@github.com>
