TVM: Where Are We GoingTianqi ChenCurrent Deep Learning Landscape Frameworks and Inference engines DL Compilers Kenrel Libraries Hardware CuDNN NNPack MKL-DNN Hand optimized Open source, automated end-to- end optimization0 码力 | 31 页 | 22.64 MB | 5 月前3
Trends Artificial Intelligence
infrastructure growth. As more developers build AI-native apps, they also create tools, wrappers and libraries that make it easier for others to follow. New front-end frameworks, embedding pipelines, model0 码力 | 340 页 | 12.14 MB | 4 月前3
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