Instead of using the DNN model, a high effort method is used to determine what algorithm to use for each partition. After partitioning, each partition is optimized using both AIG and MIG methods and the one that reduces the area and delay product is the method to be used.
Note: This metric is not the same used to train the DNN model, and the model was also trained on cones rather than full partitions.