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: [email protected]
