Personally I am not quite into polyhedral optimization for now, mainly because most kernels in deep learning can get fine performance with handcrafted scheduling. For very computational intensive kernels we already have good vendor library support. Relatively, graph-level optimization is somehow more like low-hanging fruits.
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