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daquexian fbbe650e1d | 4 years ago | |
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CMakeLists.txt | 4 years ago | |
benchmark.cpp | 4 years ago | |
benchmark_single_model.cpp | 4 years ago |
我们推出了 dabnn,一个用 ARM 汇编重写了卷积,高度优化的二值网络 inference 框架。实验显示 dabnn 相对于现有的二值网络和浮点网络 inference 框架均能带来极大的加速。在运行单个二值卷积时,我们的速度是 BMXNet (除 dabnn 外唯一一个二值网络 inference 框架) 的 800%~2400%,在运行二值化的 ResNet-18 时,我们的速度是 BMXNet 的约 700%。
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