TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
1. 环境(environment)
RunTime DEVICE: ARM/x86
2. Github版本
commit(optional):
3. 编译方式(compile method) 修改build_quanttool.sh文件,并将-DCMAKE_BUILD_TYPE=Release设置为-DCMAKE_BUILD_TYPE=Debug 执行 ./build_quanttool.sh -c
4. 编译日志(build log)
5. 详细描述bug 情况 (Describe the bug) 如何在quantization_cmd中打开调试模式,查看调试信息?我进行上述设置后,并在CLion中的quantize.cc和calibration.cc文件中打上了断点,但执行的时候没有在断点处停止,而是直接运行完毕。
6. 运行日志(runtime log)
7. 截图(Screenshots)