[MLIR][SparseTensor] Loop ordering strategy infrastructure (flag) (#154656) As discussed before, this PR adds the basic infrastructure/boiler plate for loop ordering strategies to be implemented. If this looks ok, I wanted to also mention some of the heuristics that I would implement next, if they sound reasonable to you guys: - Parallel first : prioritize parallel loops over reduction loops - Dense outer : prioritize the most dense loops first - Sparse outer : the opposite, potentially useful in some cases? There is another that I am considering, stride/memory aware, which would prioritize loops with better stride patterns (like sequential or linear). Not sure how well this carries over to Sparse Tensor though. Are there any ideas/heuristics that I should definitely try to implement? As we discussed, I will try to incrementally add heuristics. Sorry for the delay on my end, and thank you so much for the feedback! --------- Co-authored-by: Aart Bik <ajcbik@google.com>
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