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This adds a script to test PyTorch on actual iOS devices on AWS Device Farm. The test could take quite a long time pending for the devices to become available, so the steps are done manually and documented in `ios/TestApp/README.md`. ### Testing 1. TestApp itself runs fine on my local iPhone 13 and on [device farm](https://us-west-2.console.aws.amazon.com/devicefarm/home#/mobile/projects/b531574a-fb82-40ae-b687-8f0b81341ae0/runs/d2653ca8-8ee2-44dd-b15e-0402f9ab0aca). I can see the benchmark results output at the console log. ``` BUILD_LITE_INTERPRETER=1 USE_PYTORCH_METAL=1 USE_COREML_DELEGATE=1 IOS_PLATFORM=OS IOS_ARCH=arm64 ./scripts/build_ios.sh pushd ios/TestApp/benchmark ruby setup.rb --lite 1 -t 9HKVT38N77 --benchmark popd ruby scripts/xcode_build.rb -i build_ios/install -x ios/TestApp/TestApp.xcodeproj -p "OS" ``` 2. Trying to run TestAppTests https://github.com/pytorch/pytorch/blob/main/ios/TestApp/TestAppTests/TestLiteInterpreter.mm on my local iPhone ends up with this error `Logic Testing Unavailable. Logic Testing on iOS devices is not supported. You can run logic tests on the Simulator`. I update the xcode project to reuse TestApp as the host application. ``` ruby setup.rb --lite 1 -t 9HKVT38N77 ``` 3.. Trying [another round of testing on device farm](https://us-west-2.console.aws.amazon.com/devicefarm/home#/mobile/projects/b531574a-fb82-40ae-b687-8f0b81341ae0/runs/18dbd69d-8608-46d8-a868-bd05b69375db) Pull Request resolved: https://github.com/pytorch/pytorch/pull/110202 Approved by: https://github.com/kit1980
PyTorch for iOS
Cocoapods Developers
PyTorch is now available via Cocoapods, to integrate it to your project, simply add the following line to your Podfile and run pod install
pod 'LibTorch-Lite'
Import the library
For Objective-C developers, simply import the umbrella header
#import <LibTorch-Lite.h>
For Swift developers, you need to create an Objective-C class as a bridge to call the C++ APIs. We highly recommend you to follow the Image Classification demo where you can find out how C++, Objective-C and Swift work together.
Disable Bitcode
Since PyTorch is not yet built with bitcode support, you need to disable bitcode for your target by selecting the Build Settings, searching for Enable Bitcode and set the value to No.
LICENSE
PyTorch is BSD-style licensed, as found in the LICENSE file.