For deep learning specifically, the TVM project (http://tvm.ai) is a substantially more advanced project than Halide, with a much larger community. I’d highly recommend checking that out.
I personally made mistake initially, which I deeply regretted, for not adding a clear citation to Halide in some of our codebase where we reused useful hacks introduced in Halide codebase. We fixed that issue a year ago.
The two projects now have very different design priorities and focus. We as a community should not hijack the thread that belongs to Halide.
Tianqi - TVM PMC
We would certainly welcome healthy discussions, where I would be more than happy to talk about the different design choices we made and why some only makes sense for one project but not another due to different goals. That would better happen at in issues, forums though, but not an hn thread
As ever, it's unclear what "substantially more advanced" means, and to cherry-pick just some of the biggest users, there's a large and growing amount of Halide code in Android, Photoshop, and numerous Google services. I'll let billions of devices and tens of thousands of servers speak for themselves.
For the benefit of others not aware: TVM took Halide, deleted the half of it they didn't understand, then reimplemented it (copy-pasting large chunks without credit, hacks and all) and claimed it was a revolutionary new deep learning IR. People who already knew Halide were left scratching their heads unable to tell how this wasn't just Halide re-marketed in a different community.