You are viewing a plain text version of this content. The canonical link for it is here.

Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/01/27 03:17:57 UTC

[GitHub] [tvm] masahi edited a comment on pull request #7344: [AutoScheduler] Enable schedule sharing in dispatch context

masahi edited a comment on pull request #7344:
URL: https://github.com/apache/tvm/pull/7344#issuecomment-767987598


   Yes, I believe dynamic tuning and codegen is one of the biggest challenges of TVM this year. I'm glad at least there are folks looking at the problem. 
   
   MaskRCNN should serve as a good benchmark, it has both dynamic dense (very large) and dynamic conv2d + conv2d transpose. All of them are current bottleneck, without tuning them I cannot beat pytorch.


----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org