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.
Hi～～我对TNN中卷积实现部分非常感兴趣，我看到README文件中技术方案一节中提到“CNN 核心卷积运算通过 Winograd，Tile-GEMM， Direct Conv 等多种算法实现，保证不同参数、计算尺度下高效计算”，Winograd和Direct Conv算法我都了解，我想知道Tile-GEMM算法的原理是怎样的？请问有相关的文档或者论文可以参考吗？ 十分期待TNN团队的回复，非常感谢！