@anijain2305: Thanks for such great findings! I wonder whether it is really possible to keep the enable and disable of such optimization at low level more dynamic than static. Where it should be dependent on target performance rather than condition of TVM optimization. In this case too, we can maintain a historical data which can tell us whether mix and match of TVM optimization and LLVM optimization can yield an optimum result. And based on that, we can predict the fate of Enable/Disable of such optimization. I believe the LLVM scope for optimization should not intersect with TVM scope for optimization, otherwise it will be like total collapse of hierarchical structure. This is just a thought! I am eagerly observing responses from all the experts in TVM community.
--- [Visit Topic](https://discuss.tvm.ai/t/disabling-llvm-unrolling/6039/4) 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/0fa4c2536092e87ab2f7f7f025492bb7cb8e7e372e1f5ed0b3e83be59cbea5e2).
