[GitHub] [tvm] masahi commented on pull request #7344: [AutoScheduler] Enable schedule sharing in dispatch context
masahi commented 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. 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: us...@infra.apache.org
[GitHub] [tvm] masahi commented on pull request #7344: [AutoScheduler] Enable schedule sharing in dispatch context
masahi commented on pull request #7344: URL: https://github.com/apache/tvm/pull/7344#issuecomment-767970847 @comaniac Does this mean tuning support for dynamic workload (dynamic batch size etc) is coming soon? I'm very excited for this, that would tremendously help my MaskRCNN!! 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: us...@infra.apache.org
