Let me stress the attention on the fact, that MLIR doesn't only offer different
IR, it also offers different approach to scheduling via its Polyhedral dialect.
For example, I see affine transformations as types in the standard.
---
[Visit Topic](https://discuss.tvm.ai/t/google-lasted-work-
[quote="aca88, post:24, topic:1721"]
I am no expert in polyhedral scheduling, but that sounds like very complex
problem to solve (at least fully automated).
[/quote]
No, I think that automation is not a necessary property of polyhedral approach.
See for example Loopy project (https://github.co
In my opinion, it is TVM which may (and should!) benefit of polyhedral
approaches. I see Relay as a different story, it may or may not use TVM as a
backend.
---
[Visit Topic](https://discuss.tvm.ai/t/google-lasted-work-mlir-primer/1721/30)
to respond.
You are receiving this because you e
Glad to see this work continued!
Attaching link to a comment where we report on the original Autodiff VS Relay
compatibility.
https://github.com/apache/incubator-tvm/issues/2562#issuecomment-461814676
---
[Visit
Topic](https://discuss.tvm.ai/t/rfc-bring-in-tensor-expression-autodiff/598
