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52985a3501
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/27593 ## Summary Since the nightly jobs are lack of testing phases, we don't really have a way to test the binary before uploading it to AWS. To make the work more solid, we need to figure out a way to verify the binary. Fortunately, the XCode tool chain offers a way to build your app without XCode app, which is the [xcodebuild](https://developer.apple.com/library/archive/technotes/tn2339/_index.html) command. Now we can link our binary to a testing app and run `xcodebuild` to to see if there is any linking error. The PRs below have already done some of the preparation jobs - [#26261](https://github.com/pytorch/pytorch/pull/26261) - [#26632](https://github.com/pytorch/pytorch/pull/26632) The challenge comes when testing the arm64 build as we don't have a way to code-sign our TestApp. Circle CI has a [tutorial](https://circleci.com/docs/2.0/ios-codesigning/) but is too complicated to implement. Anyway, I figured out an easier way to do it 1. Disable automatically code sign in XCode 2. Export the encoded developer certificate and provisioning profile to org-context in Circle CI (done) 3. Install the developer certificate to the key chain store on CI machines via Fastlane. 4. Add the testing code to PR jobs and verify the result. 5. Add the testing code to nightly jobs and verify the result. ## Test Plan - Both PR jobs and nightly jobs can finish successfully. - `xcodebuild` can finish successfully Test Plan: Imported from OSS Differential Revision: D17848814 Pulled By: xta0 fbshipit-source-id: 48353f001c38e61eed13a43943253cae30d8831a |
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| LibTorch.h | ||
| LibTorch.podspec | ||
| README.md | ||
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'
Import the library
For Objective-C developers, simply import the umbrella header
#import <LibTorch/LibTorch.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.