Thanks for taking a look @tqchen! Since scheduling will be completed with
TensorIR, it will provide the building blocks for being plugged into an
IRModule=>IRModule transformation pass. For our current use-case, it's
important to be able to fallback to previous optimizations in the form of TE
s
to clarify a bit, we do need have to ask for doing everything as form of
schedule, so it is OK for example to generate a compute definition that already
contains packing (you can view that as one special dispatch pass).
The main ask is that the TIR schedule pass should detect the already packed
