How can i do AutoTVM tuning once for an operator but apply the best config for other input/output shape with best performance?
As you know, AutoTVM get best config only with certain input/output shape of compute. If shape changed, the operator need do AutoTVM Tuning again. This feature limits AutoTVM to be used for common algrithm optimization.
For example, using resize as cnn preprocess, the input image shape is always mutable, so we cann’t optimize resize operator using AutoTVM.