xqdan commented on PR #79: URL: https://github.com/apache/tvm-rfcs/pull/79#issuecomment-1181184802
@yelite It's a great RFC，and this is what we need right now. the requirements we need: 1) For compute fusion. With TE compute, it's easy to concate TE computes with producer-comsuer relation to get a fused compute. for example, conv + elemwise ops fusion. We should have similar function in TVM script. Which thread is related to this requirement? 2) For conditional lowering. We may have some attributtes in graph/relay level, which will further decide how to lowering into different tir. With old ir builder/TE compute, we can do that. F4 in this RFC will ensure this，correct？ 3) For reducing boilerplate code. F3 is a good idea. Another one is we define a tir function (with or without host python code), and we reuse it other place. We see this in F4 which foucus on conditional lowering, however I think we should define/declare it as standalone Fearture. Looking forward to see this RFC in upstream! -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
