基于滤波器裁剪的卷积神经网络加速算法

李浩,赵文杰,韩波

Convolutional neural network acceleration algorithm based on filters pruning

Hao LI,Wen-jie ZHAO,Bo HAN

表 2 裁剪、重训练多个模型及其结果

Tab.2 Results of pruning and retraining models

模型 y/% Fw/106 ΔF/% M/106 ΔM/% VGG-16 93.33 313 − 15 − VGG-16-A 93.47 179 43.2 5.4 64 ResNet-56 93.11 127 − 0.85 − ResNet- 56-A 93.07 112 11.8 0.77 9.4 ResNet- 56-B 93.03 92.3 27.3 0.72 15.3 ResNet-110 93.62 256 − 1.73 − ResNet-110-A 93.67 213 16.8 1.68 2.9 ResNet-110-B 93.48 155 39.5 1.14 34.1 ResNet-34 73.29 3 640 − 21.6 − ResNet- 34-A 72.61 3 080 15.5 19.9 7.9 ResNet- 34-B 72.31 2 760 24.2 19.3 10.6