mirror of
https://github.com/saymrwulf/onnxruntime.git
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Added (hidden) converter team page. (#16507)
Co-authored-by: MaanavD <maanavdalal@microsoft.com>
This commit is contained in:
Maanav Dalal
GitHub
parent
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commit
2bec00816b
3 changed files with 121 additions and 3 deletions
2
.github/workflows/check-website-links.yml
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.github/workflows/check-website-links.yml
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@ -23,4 +23,4 @@ jobs:
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run: bundle exec jekyll build --drafts
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- name: Check for broken links
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run: |
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bundle exec htmlproofer --assume_extension --checks_to_ignore ImageCheck,ScriptCheck --only_4xx --http_status_ignore 429,403 --allow_hash_href --url_ignore "https://onnxruntime.ai/docs/reference/api/c-api.html,https://www.onnxruntime.ai/docs/reference/execution-providers/TensorRT-ExecutionProvider.html#c-api-example,https://www.onnxruntime.ai/docs/resources/graph-optimizations.html,onnxruntime/capi/onnxruntime_pybind11_state.html" --log-level :info ./_site
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bundle exec htmlproofer --assume_extension --checks_to_ignore ImageCheck,ScriptCheck --only_4xx --http_status_ignore 429,403 --allow_hash_href --url_ignore "https://onnxruntime.ai/docs/reference/api/c-api.html,https://www.onnxruntime.ai/docs/reference/execution-providers/TensorRT-ExecutionProvider.html#c-api-example,https://www.onnxruntime.ai/docs/resources/graph-optimizations.html,onnxruntime/capi/onnxruntime_pybind11_state.html,https://github.com/microsoft/onnx-converters-private/" --log-level :info ./_site
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@ -40,7 +40,7 @@ A [demonstration](https://github.com/amd/RyzenAI-cloud-to-client-demo) is availa
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## Install
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### AMD Adaptable SoC Installation
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For AMD Adaptable SoC targets, a pre-built package is provided to deploy ONNX models on embedded Linux. Users should refer to the standard Vitis AI [Target Setup Instructions](https://xilinx.github.io/Vitis-AI/docs/board_setup/board_setup.html) to enable Vitis AI on the target. Once Vitis AI has been enabled on the target, the developer can refer to [this section](https://docs.xilinx.com/r/en-US/ug1414-vitis-ai/Programming-with-VOE) of the Vitis AI documentation for installation and API details.
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For AMD Adaptable SoC targets, a pre-built package is provided to deploy ONNX models on embedded Linux. Users should refer to the standard Vitis AI [Target Setup Instructions](https://xilinx.github.io/Vitis-AI/3.0/html/docs/workflow.html) to enable Vitis AI on the target. Once Vitis AI has been enabled on the target, the developer can refer to [this section](https://docs.xilinx.com/r/en-US/ug1414-vitis-ai/Programming-with-VOE) of the Vitis AI documentation for installation and API details.
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For more complete examples, developers should refer to [ONNX Runtime Vitis AI Execution Provider examples](https://github.com/Xilinx/Vitis-AI/tree/master/examples/vai_library/samples_onnx).
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@ -124,7 +124,7 @@ In the current release (3.0), the Vitis AI Quantizer supports quantization of Py
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With the future release of Vitis AI 3.5, available mid 2023, the Vitis AI Quantizer will enable parsing and quantization of ONNX models, enabling an end-to-end ONNX model -> ONNX Runtime workflow. Also, in a future release, the Vitis AI ONNX Runtime Execution Provider will support on-the-fly quantization, enabling direct deployment of FP32 ONNX models.
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See [Vitis AI Model Quantization](https://xilinx.github.io/Vitis-AI/docs/workflow-model-development.html#model-quantization) for details.
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See [Vitis AI Model Quantization](https://xilinx.github.io/Vitis-AI/3.0/html/docs/workflow-model-development.html#model-quantization) for details.
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### Olive
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118
onnx/converterteam.html
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onnx/converterteam.html
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@ -0,0 +1,118 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<script type="text/javascript" src="https://js.monitor.azure.com/scripts/c/ms.analytics-web-3.min.js">
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</script>
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<script type="text/javascript">
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const analytics = new oneDS.ApplicationInsights();
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var config = {
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instrumentationKey: "360b0e675e0044398fd28c8bdf711b8e-1fe5434d-ee99-4837-99cc-a3a16462d82d-7262",
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channelConfiguration: { // Post channel configuration
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eventsLimitInMem: 50
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},
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propertyConfiguration: { // Properties Plugin configuration
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env: "PPE" // Environment can be set to PPE or PROD as needed.
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},
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webAnalyticsConfiguration: { // Web Analytics Plugin configuration
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//urlCollectQuery:true,
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autoCapture: {
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scroll: true,
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pageView: true,
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onLoad: true,
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onUnload: true,
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click: true,
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resize: true,
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jsError: true
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}
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}
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};
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//Initialize SDK
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analytics.initialize(config, []);
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</script>
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<meta charset="UTF-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<link rel="icon" href="https://onnx.ai/images/onnx-favicon.png" type="image/gif" sizes="16x16">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css"
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integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.10.2/font/bootstrap-icons.css"
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integrity="sha384-b6lVK+yci+bfDmaY1u0zE8YYJt0TZxLEAFyYSLHId4xoVvsrQu3INevFKo+Xir8e" crossorigin="anonymous">
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<title>ONNX Converters Team</title>
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</head>
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<body>
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<section class="hero bg-white">
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<div class="px-4 py-5 text-center">
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<img class="d-block mx-auto mb-4"
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src="https://upload.wikimedia.org/wikipedia/commons/c/c0/ONNX_logo_main.png" alt="ONNX Logo" width="232"
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height="59.5">
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<h1 class="display-5 fw-bold text-body-emphasis">ONNX Converters Team</h1>
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<div class="col-lg-6 mx-auto">
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<p class="lead mb-4">Welcome to the landing page for the ONNX Converters Team at Microsoft. <br/> We hope your stay is
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short and that you quickly get what you need!</p>
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</div>
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</div>
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</section>
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<section class="bg-dark text-light">
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<div class="px-4 py-5 text-center">
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<h1 class="display-5 fw-bold text-body-emphasis">Issue Submission</h1>
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<div class="container">
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<p class="lead">
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Have an issue converting a PyTorch or TensorFlow model to ONNX model? <br />Submit an issue to get help ASAP.
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</p>
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<hr class="my-5">
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<div class="row">
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<div class="col-4 px-4">
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<h3>Microsoft Internal (<span class="text-primary">Private</span>)</h3>
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<p>If the issue contains information that cannot be disclosed publicly, <em><strong>and</strong></em> you're internal to Microsoft, file an issue internally:</p>
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<div class="d-grid gap-2">
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<a href="https://repos.opensource.microsoft.com/link" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3">
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<i class="bi bi-1-circle-fill"></i> Link GitHub Account
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</a>
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<em>AND</em>
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<a href="https://github.com/microsoft/onnx-converters-private/issues/new/choose" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3">
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<i class="bi bi-2-circle-fill"></i> File Internally
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</a>
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</div>
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</div>
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<div class="col-4 px-4">
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<h3>General Issue (<span class="text-primary">Public</span>)</h3>
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<p>Have an issue that can be publicly disclosed on GitHub? File the issue upstream:</p>
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<div class="d-grid gap-2">
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<a href="https://aka.ms/pytorch/new-onnx-issue" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3">
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<i class="bi bi-github"></i> PyTorch Issue
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</a>
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<em>OR</em>
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<a href="https://aka.ms/tensorflow/new-onnx-issue" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3 ">
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<i class="bi bi-github"></i> TensorFlow Issue
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</a>
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</div>
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</div>
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<div class="col-4 px-4">
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<h3>External Partner (<span class="text-primary">Private</span>)</h3>
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<p>If you're external to Microsoft and the issue contains information that cannot be disclosed publicly, use the following link to template an email, and send it to the below DRI:</p>
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<div class="d-grid gap-2">
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<a href="https://gist.github.com/MaanavD/6bd2a4f89518d53723d304084f118f07" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3">
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<i class="bi bi-1-circle-fill"></i> Fill Out Template
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</a>
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<em>AND</em>
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<a href="mailto:maanavdalal@mirosoft.com" type="button" class="btn rounded-0 btn-primary btn-lg px-4 gap-3">
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<i class="bi bi-2-circle-fill"></i> Email it to the DRI
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</a>
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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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</section>
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<footer class="py-5 text-center text-secondary">
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© Microsoft. All rights reserved.
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</footer>
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</body>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js"
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integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4"
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crossorigin="anonymous"></script>
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</html>
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