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dabnn
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dabnn/ci
daquexian bcb72c3b6b Fix wrong .so name in Net.java 4 years ago
..
android_aar Fix wrong .so name in Net.java 4 years ago
appimage Add appimage build script 5 years ago
adb_push_and_run.sh init azure pipeline 5 years ago
build_aar.sh Portable way to get nproc 5 years ago
build_appimage.sh Add appimage build script 5 years ago
build_dabnn.sh Portable way to get nproc 5 years ago
build_dabnn_v7.sh Add armv7 test 4 years ago
build_onnx2bnn.sh Windows CI compatibility 4 years ago
dabnn_build_and_test.yml Download onnx model and convert it to dab instead of download dab in ci 4 years ago
download_and_convert_models.sh Download onnx model and convert it to dab instead of download dab in ci 4 years ago
get_cores.sh Portable way to get nproc 5 years ago
onnx2bnn_build.yml Copy the missing onnx2bnn.exe 4 years ago
start_android_emulator.sh Add set -e in bash 5 years ago
start_android_emulator_v7.sh Add armv7 test 4 years ago
template_dabnn_run_test.yml Download onnx model and convert it to dab instead of download dab in ci 4 years ago
template_onnx2bnn_github_release.yml Add macos ci 5 years ago
template_onnx2bnn_publish_artifacts.yml Update 5 years ago
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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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