Hi, I recently read TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
However, I’m not clear about lowered loop program. Could anyone give an explanation?
For each schedule configuration, we use an ML model that takes the lowered loop program as input and predicts its running time on a given hardware back-end.
From section 5.2 ML-Based Cost Model
Thanks in advance.