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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.
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330
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Bump actions/download-artifact from 2 to 4.1.7 in /.github/workflows (#1993)
f0cb081View on GitHub[UPD]support to save int8 model for gather/embedding (#1920)
fbe15feView on GitHub[BUG]support macbook woth apple M2，fix issue #1832 (#1898)
e5e981bView on GitHub[X86] hardswish add general impl when AVX not supported (#1906)
800472bView on GitHub[BUG]fix issue #1878, support convert onnx fp16 model to tnn fp16 model (#1892)
c37ba5fView on GitHub[X86][BUG]1. x86 device support dynamic range quant conv layer; (#1889)
753f3c6View on GitHub[UPD]fix scripts for building iOS/macosx framework (#1881)
8e0d3e6View on GitHub