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184 lines
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11 KiB
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<title>ONNX Runtime | Windows Dev Kit 2023</title>
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<link rel="icon" href="./images/ONNXRuntime-Favicon.png" type="image/gif" sizes="16x16">
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<body>
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<a class="skip-main" 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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<!-- Partial header.html Start-->
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<div w3-include-html="header.html"></div>
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<div role="main" id="skipMain" tabindex="-1">
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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">ONNX Runtime + Windows Dev Kit 2023
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= NPU powered AI</h1>
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</div>
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<div class="outer-container mx-auto">
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<section class="pt-4 blue-title-columns">
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<div class="container-fluid">
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<div class="row">
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<div class="col-12 col-md-12 pr-5">
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<h2 class="blue-text">Delivering NPU powered AI capabilities in your apps</h2>
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<p>Windows Dev Kit 2023, aka Project Volterra, enables developers to build apps that
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unlock the power of the NPU hardware to accelerate AI/ML workloads delivering
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AI-enhanced features & experiences without compromising app performance.</p>
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<p>You can get started now and access the power of the NPU through the open source
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and cross-platform ONNX Runtime inference engine making it easy to run AI/ML
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models from popular machine learning frameworks like PyTorch and TensorFlow.</p>
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</div>
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</div>
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</div>
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</section>
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<hr>
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<section class="pb-4 pt-4 blue-title-columns">
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<div class="container-fluid">
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<div class="row pb-4 pb-md-5">
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<div class="col-12 col-md-6 mb-4 mb-md-0 text-center pr-10">
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</div>
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<div class="col-12 col-md-6 pr-5">
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<h2 class="blue-text">Get started on your Windows Dev Kit 2023 today</h2>
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<p>Follow these steps to setup your device to use ONNX Runtime (ORT) with the built
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in NPU:
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<ol>
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<li><a href="https://developer.qualcomm.com/software/qualcomm-neural-processing-sdk/windows-on-snapdragon"
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target="_blank">Request access</a> to the Neural Processing SDK for
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Windows on Snapdragon. Qualcomm may reach out to you via email with further
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registration instructions for approval. </li>
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<li>Once approved, you will receive an email with links to download SNPE.
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<ol type="a">
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<li>Select the SNPE link which takes you to a Qualcomm login and
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download page. </li>
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<li>Select the <i>Snapdragon_NPE_SDK.WIN.1.0 Installer</i> link,
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download and install.</li>
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</ol>
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<li><a href="https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Snpe"
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target="_blank">Download</a> and install the ONNX Runtime with SNPE
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package</li>
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<li>Start using the ONNX Runtime API in your application.</li>
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</ol>
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</p><br />
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<h2 class="blue-text">Optimizing models for the NPU</h2>
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<p><a href="https://onnx.ai" target="_blank">ONNX</a> is a standard format for
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representing ML models authored in frameworks like PyTorch, TensorFlow, and
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others. ONNX Runtime can run any ONNX model, however to make use of the NPU, you
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currently need to use the following steps:
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<ul>
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<li>Run the tools provided in the SNPE SDK on your model to generate a binary
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file.</li>
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<li>Include the contents of the binary file as a node in the ONNX graph.</li>
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</ul>
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<p>See our <a
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href="https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_sharp/Snpe_EP/vgg16_image_classification"
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target="_blank">C# tutorial<a> for an example of how this is done.</p>
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<p>Many models can be optimized for the NPU using this process. Even if a model
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cannot be optimized for NPU by the SNPE SDK, it can still be run by ONNX Runtime
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on the CPU.</p>
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<br />
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<h2 class="blue-text">Tutorials</h2>
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<ul>
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<li><a href="https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_sharp/Snpe_EP/vgg16_image_classification"
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target="_blank">C# Image classification with VGG16 using ONNX Runtime
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with SNPE<a></li>
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<li><a href="https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx/Snpe_EP"
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target="_blank">C++ image classification with Inception v3 using ONNX
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Runtime with SNPE<a></li>
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</ul>
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<br />
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<h2 class="blue-text">Getting help</h2>
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<p>For help with ONNX Runtime, you can <a
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href="https://github.com/microsoft/onnxruntime/discussions"
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target="_blank">start a discussion</a> on GitHub or <a
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href="https://github.com/microsoft/onnxruntime/issues" target="_blank">file
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an issue</a>.
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<p>
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</div>
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</div>
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</div>
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</section>
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