Some of the good directions of MLIR like text format are already present in relay. And a natural next step would be the unification of relay and tensor level IR to bring a unified TVM IR.
Note that MLIR did not make the choice of IR design, so we still make a deliberate choice on how to design the IR. We could use more thoughts on "pattern-matching style pass" vs transformations on CFG(which we could move to a different thread). Note that both are pattern matching on different structures. In my experience, Halide's loop nesting IR benefit from certain high-level information and quick prototyping. While CFG+SSA is good for codegen(role of LLVM). --- [Visit Topic](https://discuss.tvm.ai/t/google-lasted-work-mlir-primer/1721/18) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/dc54e79ab911be8385d670b42a22c94b652c1dc83f3d2646e60b385eea7ea747). Tianqi Chen, UW, Seattle, WA, 98105, United States http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=Xba-UHEegsYDtpfK8ASSEg2
