如何加速NVIDIA GPU上的训练、推理和机器学习应用?【英伟达工程师亲授】.zip

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  • 2022-05-27 03:55
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本教程将教读者学习使用TensorRT(TRT)中的INT8量化来部署这些训练过的模型,所有这些都将在TensorFlow框架的新型便捷API中进行。
Accelerating training, inference, and ML applications on NVIDIA GPUs Presentation.zip
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<html xmlns="http://www.w3.org/1999/xhtml"><head><meta charset="utf-8"><meta name="generator" content="pdf2htmlEX"><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/css/base.min.css"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css"><link rel="stylesheet" href="https://csdnimg.cn/release/download_crawler_static/12090472/raw.css"><script src="https://csdnimg.cn/release/download_crawler_static/js/compatibility.min.js"></script><script src="https://csdnimg.cn/release/download_crawler_static/js/pdf2htmlEX.min.js"></script><script>try{pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({});}catch(e){}</script><title></title></head><body><div id="sidebar" style="display: none"><div id="outline"></div></div><div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://csdnimg.cn/release/download_crawler_static/12090472/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Nathan Luehr, Maggie Zhang, Josh Romero, Pooya Davoodi, Davide Onofrio</div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls0 ws0">Accelerate Training, Inference, and ML </div><div class="t m0 x2 h3 y3 ff2 fs1 fc0 sc0 ls0 ws0">Applications on GPUs</div></div><div class="pi" data-data='{"ctm":[1.333333,0.000000,0.000000,1.333333,0.000000,0.000000]}'></div></div></body></html>
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