My take is,
MLIR is a replacement of HalideIR. 1) compiler infra support, like cfg/dfa/ssa, with these, we can avoid pattern matching style pass on Halide, which is not good for maintaining, 2) other better utilities, like text ir; 3) unified IR for multi-level, graph and tensor. I agree the idea we have a MLIR phase in TVM. if it's indeed better, we can move our work to MLIR gradually, or just write new optimization pass on MLIR. --- [Visit Topic](https://discuss.tvm.ai/t/google-lasted-work-mlir-primer/1721/17) 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/0e24b57e89d3d6edcfa06fda5e8a7e6da1aa6a9e89bb4a188ffb00c38a50be7b). Tianqi Chen, UW, Seattle, WA, 98105, United States http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=yrr-J9fBn994G8i-pPhrng2
