Improving Computational Efficiency of Convolutional Neural Networks through Block Fusion

Computational efficiency, not just model efficiency, is crucial for achieving high-performance convolutional neural networks. By co-optimizing model efficiency and computational efficiency through block fusion, it is possible to create models that are both accurate and fast.