Re: [apache/tvm-rfcs] [RFC] Buffer Layout Padding (PR #77)

2022-06-21 Thread Eric Lunderberg
> Introducing changes to TIR would needs some additional thoughts that deserves > some extra consideration. Due to the N*M complexity (where N is the TIR > possibilities and M is the number of primitives to be supported) that needs > to be handled in implementation (by backend implementers and p

Re: [apache/tvm-rfcs] [RFC] TUNIP: TVMScript Unified Printer (PR #74)

2022-06-21 Thread Junru Shao
I'm merging this RFC as it seems that our discussion has reached consensus, but feel free to follow-up any time! -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/74#issuecomment-1162072459 You are receiving this because you are subscribed to this thre

Re: [apache/tvm-rfcs] [RFC] TUNIP: TVMScript Unified Printer (PR #74)

2022-06-21 Thread Junru Shao
Merged #74 into main. -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/74#event-6849482980 You are receiving this because you are subscribed to this thread. Message ID:

Re: [apache/tvm-rfcs] [RFC] Adding initial SVE implementation (#18)

2022-06-21 Thread Manupa Karunaratne
Hi @tqchen @kparzysz-quic @kparzysz-quic @masahi @tkonolige @smeijer1234 , We are looking to revive this work. I have gone through the thread. Summary so far is as follows : * We want to introduce/enhance a scheduling vectorization primitive that could be controlled by user/auto-tuner/auto-sche

[Apache TVM Discuss] [Development/pre-RFC] [pre-RFC] Polybench-TVM

2022-06-21 Thread Wheest via Apache TVM Discuss
My idea looks at adding official TVM tensor expression implementations of kernels from the polybench benchmarking system. It's possible that some kernels do not make sense within the TVM programming model, however I still believe there is value here. I've started my implementation, but would l

[Apache TVM Discuss] [Development] [Denormal Number] How will TVM handle denormal numbers?

2022-06-21 Thread Yan Zhang via Apache TVM Discuss
I am working on optimizing ResNeSt, and I have met the denormal issues. The following is the solution, which sets denormal numbers to zero. But I am confused that **where should I put the codes**. There are some requirements: 1. Target should be checked. This solution can only be applied to