Summary of PyTorch Mobile Recipes¶
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.
Introduction¶
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.
- (Recommended) To reduce the model size and make it run faster without losing much on accuracy, read the Quantization Recipe.
- (Must) To convert the model to TorchScipt and (optional) optimize it for mobile apps, read the Script and Optimize for Mobile Recipe.
- (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.
- (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.
