Plan for TileLang integration with TVM-FFI

[SigureMo]

Hi TileLang team, I’m a developer from the @PaddlePaddle and I’d like to ask about TileLang’s plans for integrating TVM-FFI.

I noticed the mention in #960 regarding future TVM-FFI integration. Since TVM-FFI (now separated from TVM) focuses on DLPack-based tensor exchange and provides a clear FFI interface for DSLs and external kernel implementations, it can greatly simplify interoperability between frameworks. I have a couple of questions:

1. Do you have a more specific timeline or roadmap for adding TVM-FFI support to TileLang? I couldn’t find a related item in the roadmap issue ([Roadmap] Release Plan of tilelang 0.2.0 #79).
2. After TVM-FFI is supported, are there plans to make TileLang framework-agnostic so it can be used out-of-the-box with more frameworks (for example, PaddlePaddle), and make PyTorch an optional dependency? I’ve noticed many current PyTorch-based usages in the codebase could be replaced by TVM-FFI.

Thanks for your work on TileLang — we’d be glad to help with testing or building integration prototypes if that’s useful.

[LeiWang1999]

@SigureMo Thanks for your advice. We do have a plan, but for now, it would be better for us not to rely directly on TVM FFI, since TVM now depends on tvm-ffi. We plan to integrate tvm-ffi in our next update, once TVM has a new release.

But due to certain reasons, we can move this matter forward, and perhaps complete it before Oct. 21.

[Hzfengsy]

I will help with the rebase and integration process