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.
rubicfa
commented
11 months ago
1. 环境（environment）
RunTime DEVICE: ARM/OPENCL/METAL
2. Github版本
commit(optional):
3. 编译方式(compile method) CMake完整编译参数(full cmake arguments)
4. 编译日志(build log)
5. 详细描述bug 情况 (Describe the bug)
6. 运行日志（runtime log）
7. 截图（Screenshots）
尝试拿了yolov8官方的yolov8n.pt模型 进行了int8量化后 精度损失验证 没有一张图片是正确的 试过使用没有量化前的模型 可以进行正确的推理