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Change Mobile to Edge (#2851)
* Change Mobile to Edge * Update layout.html to collapse sections
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_templates/layout.html

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</noscript>
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<script type="text/javascript">
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var collapsedSections = ['PyTorch Recipes', 'Learning PyTorch', 'Image and Video', 'Audio', 'Text', 'Backends', 'Reinforcement Learning', 'Deploying PyTorch Models in Production', 'Code Transforms with FX', 'Frontend APIs', 'Extending PyTorch', 'Model Optimization', 'Parallel and Distributed Training', 'Mobile'];
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var collapsedSections = ['PyTorch Recipes', 'Learning PyTorch', 'Image and Video', 'Audio', 'Text', 'Backends', 'Reinforcement Learning', 'Deploying PyTorch Models in Production', 'Profiling PyTorch', 'Code Transforms with FX', 'Frontend APIs', 'Extending PyTorch', 'Model Optimization', 'Parallel and Distributed Training', 'Edge with ExecuTorch', 'Recommendation Systems', 'Multimodality'];
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</script>
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<img height="1" width="1" style="border-style:none;" alt="" src="https://www.googleadservices.com/pagead/conversion/795629140/?label=txkmCPmdtosBENSssfsC&amp;guid=ON&amp;script=0"/>

index.rst

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@@ -551,13 +551,6 @@ Welcome to PyTorch Tutorials
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:link: beginner/hyperparameter_tuning_tutorial.html
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:tags: Model-Optimization,Best-Practice
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.. customcarditem::
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:header: Optimizing Vision Transformer Model
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:card_description: Learn how to use Facebook Data-efficient Image Transformers DeiT and script and optimize it for mobile.
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:image: _static/img/thumbnails/cropped/mobile.png
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:link: beginner/vt_tutorial.html
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:tags: Model-Optimization,Best-Practice,Mobile
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.. customcarditem::
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:header: Parametrizations Tutorial
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:card_description: Learn how to use torch.nn.utils.parametrize to put constraints on your parameters (e.g. make them orthogonal, symmetric positive definite, low-rank...)
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:link: intermediate/FSDP_adavnced_tutorial.html
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:tags: Parallel-and-Distributed-Training
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.. Mobile
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.. Edge
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.. customcarditem::
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:header: Image Segmentation DeepLabV3 on iOS
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:card_description: A comprehensive step-by-step tutorial on how to prepare and run the PyTorch DeepLabV3 image segmentation model on iOS.
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:image: _static/img/thumbnails/cropped/ios.png
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:link: beginner/deeplabv3_on_ios.html
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:tags: Mobile
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:header: Exporting to ExecuTorch Tutorial
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:card_description: Learn about how to use ExecuTorch, a unified ML stack for lowering PyTorch models to edge devices.
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:image: _static/img/ExecuTorch-Logo-cropped.svg
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:link: https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html
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:tags: Edge
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.. customcarditem::
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:header: Image Segmentation DeepLabV3 on Android
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:card_description: A comprehensive step-by-step tutorial on how to prepare and run the PyTorch DeepLabV3 image segmentation model on Android.
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:header: Running an ExecuTorch Model in C++ Tutorial
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:card_description: Learn how to load and execute an ExecuTorch model in C++
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:image: _static/img/ExecuTorch-Logo-cropped.svg
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:link: https://pytorch.org/executorch/stable/running-a-model-cpp-tutorial.html
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:tags: Edge
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.. customcarditem::
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:header: Using the ExecuTorch SDK to Profile a Model
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:card_description: Explore how to use the ExecuTorch SDK to profile, debug, and visualize ExecuTorch models
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:image: _static/img/thumbnails/cropped/android.png
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:link: beginner/deeplabv3_on_android.html
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:tags: Mobile
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:link: https://pytorch.org/executorch/stable/tutorials/sdk-integration-tutorial.html
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:tags: Edge
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.. customcarditem::
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:header: Building an ExecuTorch iOS Demo App
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:card_description: Explore how to set up the ExecuTorch iOS Demo App, which uses the MobileNet v3 model to process live camera images leveraging three different backends: XNNPACK, Core ML, and Metal Performance Shaders (MPS).
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:image: _static/img/ExecuTorch-Logo-cropped.svg
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:link: https://pytorch.org/executorch/stable/demo-apps-ios.html
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:tags: Edge
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.. customcarditem::
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:header: Building an ExecuTorch Android Demo App
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:card_description: Learn how to set up the ExecuTorch Android Demo App for image segmentation tasks using the DeepLab v3 model and XNNPACK FP32 backend.
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:image: _static/img/ExecuTorch-Logo-cropped.svg
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:link: https://pytorch.org/executorch/stable/demo-apps-android.html
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:tags: Edge
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.. customcarditem::
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:header: Lowering a Model as a Delegate
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:card_description: Learn to accelerate your program using ExecuTorch by applying delegates through three methods: lowering the whole module, composing it with another module, and partitioning parts of a module.
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:image: _static/img/ExecuTorch-Logo-cropped.svg
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:link: https://pytorch.org/executorch/stable/examples-end-to-end-to-lower-model-to-delegate.html
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:tags: Edge
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.. Recommendation Systems
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:maxdepth: 2
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:includehidden:
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:hidden:
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:caption: Mobile
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beginner/deeplabv3_on_ios
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beginner/deeplabv3_on_android
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:caption: Edge with ExecuTorch
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Exporting to ExecuTorch Tutorial <https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html>
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Running an ExecuTorch Model in C++ Tutorial < https://pytorch.org/executorch/stable/running-a-model-cpp-tutorial.html>
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Using the ExecuTorch SDK to Profile a Model <https://pytorch.org/executorch/stable/tutorials/sdk-integration-tutorial.html>
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Building an ExecuTorch iOS Demo App <https://pytorch.org/executorch/stable/demo-apps-ios.html>
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Building an ExecuTorch Android Demo App <https://pytorch.org/executorch/stable/demo-apps-android.html>
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Lowering a Model as a Delegate <https://pytorch.org/executorch/stable/examples-end-to-end-to-lower-model-to-delegate.html>
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.. toctree::
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:maxdepth: 2

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