Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks

Mengdi Wang, Qing Zhang, Jun Yang +2

In this work, we propose a graph-adaptive pruning (GAP) method for efficient inference of convolutional neural networks (CNNs). In this method, the network is viewed as a computati…