Redirecting Summary of PyTorch Mobile Recipes to Executorch.

Author: AlannaBurke

recipes_source/ptmobile_recipes_summary.rst

@@ -1,43 +1,10 @@
 Summary of PyTorch Mobile Recipes
 =====================================
 
-.. warning::
-    Note: PyTorch Mobile is no longer actively supported. Please check out `ExecuTorch <https://pytorch.org/executorch-overview>`_, PyTorch’s all-new on-device inference library. You can also review these `ExecuTorch examples <https://github.com/pytorch/executorch/tree/main/examples#readme>`_.
+This tutorial has been deprecated. There is a new tutorial on this topic.
 
-This summary provides a top level overview of recipes for PyTorch Mobile to help developers choose which recipes to follow for their PyTorch-powered mobile app development.
+Redirecting in 3 seconds...
 
-Introduction
-----------------
+.. raw:: html
 
-When a PyTorch model is trained or retrained, or when a pre-trained model is available, for mobile deployment, follow the the recipes outlined in this summary so mobile apps can successfully use the model.
-
-Pre-requisites
-----------------
-
-PyTorch 1.6.0 or 1.7.0
-
-(Optional) torchvision 0.6.0 or 0.7.0
-
-For iOS development: Xcode 11 or 12
-
-For Android development: Android Studio 3.5.1 or above (with NDK installed); or Android SDK, NDK, Gradle, JDK.
-
-New Recipes for PyTorch Mobile
---------------------------------
-
-* (Recommended) To fuse a list of PyTorch modules into a single module to reduce the model size before quantization, read the `Fuse Modules recipe <fuse.html>`_.
-
-* (Recommended) To reduce the model size and make it run faster without losing much on accuracy, read the `Quantization Recipe <quantization.html>`_.
-
-* (Must) To convert the model to TorchScipt and (optional) optimize it for mobile apps, read the `Script and Optimize for Mobile Recipe <script_optimized.html>`_.
-
-* (Must for iOS development) To add the model in an iOS project and use PyTorch pod for iOS, read the `Model preparation for iOS Recipe <model_preparation_ios.html>`_.
-
-* (Must for Android development) To add the model in an Android project and use the PyTorch library for Android, read the `Model preparation for Android Recipe <model_preparation_android.html>`_.
-
-
-Learn More
------------------
-
-1. `PyTorch Mobile site <https://pytorch.org/mobile>`_
-2. `PyTorch Mobile Performance Recipes <https://pytorch.org/tutorials/recipes/mobile_perf.html>`_
+    <meta http-equiv="Refresh" content="3; url='https://pytorch.org/executorch/stable/index.html'" />