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* Create pytorch.html Add new PyTorch-specific page * fix link * Update pytorch.html * Update pytorch.html * Update index.html * Updated graphics for pytorch page * move footer into common file * use common footer file * update footer * Update community.html * fix layout on mobile and update graphic * move footer
694 lines
37 KiB
HTML
694 lines
37 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<script async src="https://www.googletagmanager.com/gtag/js?id=UA-156955408-1"></script>
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<script>
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window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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gtag('js', new Date());
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gtag('config', 'UA-156955408-1');
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</script>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta http-equiv="X-UA-Compatible" content="IE=edge" />
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<title>ONNX Runtime | Home</title>
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<link rel="icon" href="./images/ONNXRuntime-Favicon.png" type="image/gif" sizes="16x16">
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<link rel="stylesheet" href="css/fonts.css">
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
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<link rel="stylesheet" href="css/custom.css?v1.6">
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<link rel="stylesheet" href="css/responsive.css?v1.6">
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</head>
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<body>
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<a class="skip-main" id="topContent" href="#skipMain">Skip to main content</a>
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<div class="main-wrapper">
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<div class="top-banner-bg">
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<header class="fixed-top header-content">
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<nav class="navbar navbar-expand-md navbar-custom" aria-label="Main menu">
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<a id="ONNXLogo" class="navbar-brand" href="./index.html">
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<img src="images/svg/ONNX-Runtime-logo.svg" class="d-inline-block align-top onnx-logo" alt="ONNX Runtime Home" />
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</a>
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<button class="navbar-toggler p-0" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
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<span class="navbar-toggler-icon"></span>
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</button>
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<div class="collapse navbar-collapse border-md-top mt-md-0 mt-2" id="navbarNav">
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<div class="mr-auto"></div>
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<ul class="navbar-nav navbar-nav mr-auto text-uppercase" id="navigation">
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<li class="nav-item">
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<a class="nav-link pr-3 btn-getStarted" href="JavaScript:void(0);">Get Started</a>
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<li class="nav-item">
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<a class="nav-link pr-3 btn-getStarted" href="./docs">Docs</a>
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</li>
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<li class="nav-item">
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<a class="nav-link pr-3" target="_blank" href="https://cloudblogs.microsoft.com/opensource/tag/onnx">News</a>
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</li>
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<li class="nav-item">
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<a class="nav-link pr-3" href="./community.html">Community</a>
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</li>
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<li class="nav-item">
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<a class="nav-link pr-3" href="./about.html">About</a>
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</li>
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<li class="nav-item">
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<a class="nav-link" target="_blank" href="http://github.com/microsoft/onnxruntime">GitHub</a>
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</ul>
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</div>
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</nav>
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</header>
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<div role="main" id="skipMain">
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<div class="container px-md-4 px-lg-5 pt-5 mx-auto text-center">
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<h1 class="pt-3 pb-3 pt-md-5 pb-lg-3 px-md-4 px-lg-5 mt-5 mb-0">Optimize and Accelerate Machine Learning Inferencing and Training</h1>
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</div>
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<div class="outer-container mx-auto pt-md-5 pt-3">
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<section class="py-md-5 pt-3 pb-4 blue-title-columns">
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<div class="container-fluid">
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<div class="row equalHeight">
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<div class="col-12 col-md-4 mb-2 mb-md-0">
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<div class="row">
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<div class="col-2 col-md-3 col-xl-2">
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<div class="icon-container">
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<img src="images/svg/icon-4.svg" alt="" />
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</div>
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<div class="col-10 col-sm-9 col-xl-10 pl-sm-0 pl-md-3 pl-lg-0 pl-xl-3">
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<h2 class="mr-xl-5 blue-text">Speed up machine learning process</h2>
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<p class="mr-xl-5 mb-md-0">Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training
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</p>
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</div>
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</div>
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</div>
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<div class="col-12 col-md-4 mb-2 mb-md-0">
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<div class="row">
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<div class="col-2 col-md-3 col-xl-2">
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<div class="icon-container">
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<img src="images/svg/icon-2.svg" alt="" />
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</div>
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</div>
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<div class="col-10 col-sm-9 col-xl-10 pl-sm-0 pl-md-3 pl-lg-0 pl-xl-3">
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<h2 class="mr-xl-5 blue-text">Plug into your existing technology stack</h2>
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<p class="mr-xl-5 mb-md-0">Support for a variety of frameworks, operating systems and hardware platforms</p>
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</div>
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</div>
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</div>
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<div class="col-12 col-md-4">
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<div class="row">
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<div class="col-2 col-md-3 col-xl-2">
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<div class="icon-container">
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<img src="images/svg/icon-3.svg" alt="" />
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</div>
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</div>
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<div class="col-10 col-sm-9 col-xl-10 pl-sm-0 pl-md-3 pl-lg-0 pl-xl-3">
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<h2 class="mr-xl-5 blue-text">Build using proven technology</h2>
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<p class="mr-xl-5 mb-0">Used in Office 365, Visual Studio and Bing, delivering half Trillion inferences every day</p>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="pt-1 pb-1 pt-md-3 pb-lg-3 px-5 mt-5 mb-0 alert alert-dark alert-dismissible fade show" role="alert">
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Please help us improve ONNX Runtime by participating in our <a href="https://ncv.microsoft.com/UySXuzobM9">customer survey.</a>
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<button type="button" class="close" data-dismiss="alert" aria-label="Close">
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<span aria-hidden="true">×</span>
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</button>
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</div>
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</section>
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<section class="py-md-5 pb-4 pt-4 get-started-section border-top" id="getStartedTable">
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<div class="container-fluid">
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<noscript>
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<div class="javascript-is-disabled row">
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<div class="col">
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<div class="ns-callout">
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<h2>Please enable JavaScript to use the interactive installation guide.</h2>
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<p class="mb-0">Need help enabling JavaScript? Follow the instructions <a href="https://www.whatismybrowser.com/guides/how-to-enable-javascript/auto" target="_blank">here</a>.</p>
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</div>
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</div>
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</noscript>
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<div class="row ml-0">
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<div class="col mb-4">
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<div class="text-center pb-3">
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<h2 class="section-heading">Get Started Easily</h2>
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</div>
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</div>
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</div>
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<div>
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<ul class="tbl_tablist" role="tablist">
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<li id="OI_tab" class="tbl_tab" aria-controls="panel1" aria-selected="true" role="tab"
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tabindex="0">
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Optimize Inferencing
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</li>
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<li id="OT_tab" class="tbl_tab" aria-controls="panel2" role="tab" aria-selected="false"
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tabindex="0">
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Optimize Training
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</li>
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</ul>
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<div id="panel1" class="tbl_panel" aria-labelledby="tab1" role="tabpanel" aria-hidden="false">
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<div class="row ml-0">
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<div class="col">
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="selectOS">Platform</h3>
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<p id="decriptionOS" class="sr-only">Platform list contains six items</p>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="listbox-1" aria-labelledby="selectOS" aria-describedby="decriptionOS">
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<div class="row os">
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="0" aria-selected="false" id="windows">
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<span>Windows</span>
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</div>
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="-1" aria-selected="false" id="linux">
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<span>Linux</span>
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</div>
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="-1" aria-selected="false" id="mac">
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<span>Mac</span>
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</div>
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="-1" aria-selected="false" id="android">
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<span>Android</span>
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</div>
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="-1" aria-selected="false" id="ios">
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<span>iOS</span>
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</div>
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<div class="col-lg-2dot4 col r-option version" role="option" tabindex="-1" aria-selected="false" id="web">
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<span>Web Browser (Preview)</span>
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</div>
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</div>
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</div>
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</div>
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="selectLanguage">API</h3>
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<p id="decriptionLanguage" class="sr-only">API list contains eight items</p>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="listbox-2" aria-labelledby="selectLanguage" aria-describedby="decriptionLanguage">
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<div class="row language">
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="0" aria-selected="false" id="Python"><span>Python</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="C++"><span>C++</span></div>
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<div class="col-lg-2dot4 col r-option" aria-selected="false" role="option" tabindex="-1" id="C#"><span><abbr>C#</abbr></span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="C-API"><span>C</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="Java"><span>Java</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="JS"><span>JS</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="objectivec"><span>Obj-C</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="WinRT"><span>WinRT</span></div>
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</div>
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</div>
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</div>
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading ">
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<h3 id="selectArchitecture" class="align-self-center">Architecture</h3>
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<p id="decriptionArchitecture" class="sr-only">Architecture list contains five items</p>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="listbox-3" aria-labelledby="selectArchitecture" aria-describedby="decriptionArchitecture">
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<div class="row architecture">
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="0" aria-selected="false" id="X64">
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<span><abbr>X64</abbr></span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="X86">
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<span><abbr>X86</abbr></span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="ARM64">
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<span><abbr>ARM64</abbr></span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="ARM32">
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<span><abbr>ARM32</abbr></span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="Power">
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<span><abbr>IBM Power</abbr></span></div>
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</div>
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</div>
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</div>
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="selectHardwareAcceleration">Hardware Acceleration</h3>
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<p id="decriptionHardwareAcceleration" class="sr-only">Hardware Acceleration list contains fifteen items</p>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="listbox-4" aria-labelledby="selectHardwareAcceleration" aria-describedby="decriptionHardwareAcceleration">
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<div class="row hardwareAcceleration">
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<div class="col-lg-2dot5 col r-option version" role="option" tabindex="0" aria-selected="false" id="DefaultCPU">
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<span>Default <abbr>CPU</abbr></span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="CoreML">
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<span>CoreML </span></div>
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<div class="col-lg-2dot5 col r-option version" role="option" tabindex="-1" aria-selected="false" id="CUDA">
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<span><abbr>CUDA</abbr></span></div>
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<div class="col-lg-2dot5 col r-option version" role="option" tabindex="-1" aria-selected="false" id="DirectML">
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<span>Direct<abbr>ML</abbr></span></div>
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<div class="col-lg-2dot5 col r-option version" role="option" tabindex="-1" aria-selected="false" id="DNNL">
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<span><abbr>oneDNN</abbr></span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="OpenVINO">
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<span>OpenVINO</span></div>
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<div class="col-lg-2dot5 col r-option version" role="option" tabindex="-1" aria-selected="false" id="TensorRT">
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<span>Tensor<abbr>RT</abbr></span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="NNAPI">
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<span>NNAPI </span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="ACL">
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<span>ACL (Preview)</span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="ArmNN">
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<span>ArmNN (Preview)</span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="MIGraphX">
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<span>MIGraphX (Preview)</span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="TVM">
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<span><abbr>TVM (Preview)</abbr></span></div>
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<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="RockchipNPU">
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<span>Rockchip NPU (Preview)</span></div>
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||
<div class="col-lg-2dot5 col-md-3 r-option version" role="option" tabindex="-1" aria-selected="false" id="VitisAI">
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||
<span>Vitis AI (Preview)</span></div>
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</div>
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</div>
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</div>
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||
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<div class="row r-wrap command-block row-eq-height mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="selectRunCommand">Installation Instructions</h3>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4">
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<div class="row">
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<div class="col r-option command-container" id="command" role="status">
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<span>
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Please select a combination of resources
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</span>
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</div>
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||
</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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||
<div id="panel2" class="tbl_panel" aria-labelledby="tab2" role="tabpanel" aria-hidden="true">
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||
<div class="row ml-0">
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<div class="col">
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||
<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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||
<h3 id="ot_selectOS">Platform</h3>
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||
<p id="ot_decriptionOS" class="sr-only">Platform list contains three items</p>
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||
</div>
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||
<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="ot_listbox-1" aria-labelledby="ot_selectOS" aria-describedby="ot_decriptionOS">
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<div class="row ot_os">
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<div class="col r-option selected" role="option" tabindex="0" aria-selected="true" id="ot_linux"><span>Linux</span></div>
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<div class="col r-option" role="option" tabindex="-1" aria-selected="false" id="ot_windows"><span>Windows</span></div>
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||
<div class="col r-option" role="option" tabindex="-1" aria-selected="false" id="ot_mac"><span>Mac</span></div>
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||
</div>
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||
</div>
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||
</div>
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||
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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||
<div class="col-md-3 r-heading">
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<h3 id="ot_selectLanguage">API</h3>
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||
<p id="ot_decriptionLanguage" class="sr-only">API list contains three items</p>
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||
</div>
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||
<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="ot_listbox-2" aria-labelledby="ot_selectLanguage" aria-describedby="ot_decriptionLanguage">
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<div class="row ot_language">
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||
<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="ot_PyTorch18"><span>PyTorch 1.8.1</span></div>
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<div class="col-lg-2dot4 col r-option selected" role="option" tabindex="0" aria-selected="true" id="ot_PyTorch19"><span>PyTorch 1.9</span></div>
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<div class="col-lg-2dot4 col r-option" role="option" tabindex="-1" aria-selected="false" id="ot_C++"><span>C++</span></div>
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</div>
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||
</div>
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||
</div>
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||
<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading ">
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||
<h3 id="ot_selectArchitecture" class="align-self-center">Architecture</h3>
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||
<p id="ot_decriptionArchitecture" class="sr-only">Architecture list contains one item</p>
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||
</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="ot_listbox-3" aria-labelledby="ot_selectArchitecture" aria-describedby="ot_decriptionArchitecture">
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<div class="row ot_architecture">
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<div class="col r-option selected" role="option" tabindex="0" aria-selected="true" id="ot_X64">
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<span><abbr>X64</abbr></span></div>
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</div>
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</div>
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</div>
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="ot_selectHardwareAcceleration">Hardware Acceleration</h3>
|
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<p id="ot_decriptionHardwareAcceleration" class="sr-only">Hardware Acceleration list contains four items</p>
|
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|
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox" id="ot_listbox-4" aria-labelledby="ot_selectHardwareAcceleration" aria-describedby="ot_decriptionHardwareAcceleration">
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<div class="row ot_hardwareAcceleration">
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<div class="col r-option version" role="option" tabindex="-1" aria-selected="false" id="ot_DefaultCPU"><span><abbr>Default CPU</abbr></span></div>
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<div class="col r-option version selected" role="option" tabindex="0" aria-selected="true" id="ot_CUDA10"><span><abbr>CUDA 10.2</abbr></span></div>
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<div class="col r-option version" role="option" tabindex="-1" aria-selected="false" id="ot_DNNL"><span><abbr>oneDNN</abbr></span></div>
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<h3 id="ot_selectRunCommand">Installation Instructions</h3>
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<span>
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Please select a combination of resources
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|
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<h3 class="mr-xl-5 mb-3">Accelerate PyTorch transformer model training with ONNX Runtime – a deep dive</h3>
|
||
<span class="article-blurb">
|
||
ONNX Runtime (ORT) for PyTorch accelerates training large scale models across multiple GPUs with up to 37% increase in training throughput over PyTorch and up to 86% speed up when combined with DeepSpeed...
|
||
</span><br/><br/><a href="https://techcommunity.microsoft.com/t5/azure-ai/accelerate-pytorch-transformer-model-training-with-onnx-runtime/ba-p/2540471" target="_blank" class="link"><span class="link-content">Read
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|
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<div class="news-img pb-4 pb-md-5 mr-xl-5 text-center"><img src="./images/ort-pt-training.png" alt="ORT Training performance"></div>
|
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|
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|
||
|
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<div class="news row blue-title-columns">
|
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<div class="col-12 col-md-8 mb-4 mb-md-0 blue-text">
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||
<h3 class="mr-xl-5 mb-3">Accelerate PyTorch training with torch-ort</h3>
|
||
<span class="article-blurb">
|
||
With a simple change to your PyTorch training script, you can now speed up training large language models with torch_ort.ORTModule, running on the target hardware of your choice...
|
||
</span><br/><br/><a href="https://cloudblogs.microsoft.com/opensource/2021/07/13/accelerate-pytorch-training-with-torch-ort/" target="_blank" class="link"><span class="link-content">Read
|
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|
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<div class="news-img pb-4 pb-md-5 mr-xl-5 text-center"><img src="./images/ort-training-code.png" alt="Simple code for ORT Training"></div>
|
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</div>
|
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</div>
|
||
|
||
<div class="news row blue-title-columns ">
|
||
<div class="col-12 col-md-8 mb-4 mb-md-0 blue-text">
|
||
<h3 class="mr-xl-5 mb-3">Journey to optimize large scale transformer model inference with ONNX Runtime</h3>
|
||
<span class="article-blurb">
|
||
Large-scale transformer models, such as GPT-2 and GPT-3, are among the most useful self-supervised transformer language models for natural language processing tasks such as language translation, question answering, passage summarization, text generation, and so on...</span><br/>
|
||
<br/><a href="https://cloudblogs.microsoft.com/opensource/2021/06/30/journey-to-optimize-large-scale-transformer-model-inference-with-onnx-runtime/" target="_blank" class="link"><span class="link-content">Read
|
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more</span><span class="link-arrow fa fa-angle-right"></span></a>
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|
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<div class="news-img pb-4 pb-md-5 mr-xl-5 text-center"><img src="./images/gptc-vscode.png" alt="Deploying GTP-C in VS Code"></div>
|
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</div>
|
||
</div>
|
||
|
||
<div class="news row blue-title-columns ">
|
||
<div class="col-12 col-md-8 mb-4 mb-md-0 blue-text">
|
||
<h3 class="mr-xl-5 mb-3">ONNX Runtime release 1.8.1 previews support for accelerated training on AMD GPUs with the AMD ROCm™ Open Software Platform</h3>
|
||
<span class="article-blurb">
|
||
ONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms. Today, we are excited to announce a preview version of ONNX Runtime in release 1.8.1 featuring support for AMD Instinct™ GPUs facilitated by the AMD ROCm™ open software platform...</span>
|
||
<br/><br/><a href="https://cloudblogs.microsoft.com/opensource/2021/07/13/onnx-runtime-release-1-8-1-previews-support-for-accelerated-training-on-amd-gpus-with-the-amd-rocm-open-software-platform/" target="_blank" class="link"><span class="link-content">Read
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|
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<div class="news-img pb-4 pb-md-5 mr-xl-5 text-center"><img src="./images/ort-rocm.png" alt="ORT and ROCm"></div>
|
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|
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|
||
|
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|
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|
||
<h3 class="mr-xl-5 mb-3">SAS and Microsoft collaborate to democratize the use of Deep Learning Models</h3>
|
||
<span class="article-blurb">
|
||
Artificial Intelligence (AI) developers enjoy the flexibility of choosing a model training framework of their choice. This includes both open-source frameworks as well as vendor-specific ones. While this is great for innovation, it does introduce the challenge of operationalization across different hardware platforms...</span>
|
||
<br/><br/><a href="https://communities.sas.com/t5/SAS-Communities-Library/SAS-and-Microsoft-collaborate-to-democratize-the-use-of-Deep/ta-p/730072" target="_blank" class="link"><span class="link-content">Read
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|
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|
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|
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|
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|
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|
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|
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|
||
<h3 class="mr-xl-5 mb-3">Optimizing BERT model for Intel CPU Cores using ONNX runtime default execution provider</h3>
|
||
<span class="article-blurb">
|
||
The performance improvements provided by ONNX Runtime powered by Intel® Deep Learning Boost: Vector Neural Network Instructions (Intel® DL Boost: VNNI) greatly improves performance of machine learning model execution for developers...
|
||
</span><br/><br/><a href="https://cloudblogs.microsoft.com/opensource/2021/03/01/optimizing-bert-model-for-intel-cpu-cores-using-onnx-runtime-default-execution-provider/" target="_blank" class="link"><span class="link-content">Read
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<div class="news-img pb-4 pb-md-5 mr-xl-5 text-center"><img src="./images/ort_intel.png" alt="ORT and Intel AI"></div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
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