mirror of
https://github.com/zebrajr/pytorch.git
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85c3b745f6
The TestApp benchmark was recently re-added, however it seems it only builds when pytorch is built with the lite interpreter. This diff adds a macro to compile out the benchmark when pytorch is built as full jit. This should fix our full jit simulator nightly builds. Pull Request resolved: https://github.com/pytorch/pytorch/pull/86314 Approved by: https://github.com/malfet |
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| .. | ||
| TestApp | ||
| .gitignore | ||
| LibTorch-Lite-Nightly.podspec.template | ||
| LibTorch-Lite.h | ||
| LibTorch-Lite.podspec | ||
| LibTorch.h | ||
| LibTorch.podspec | ||
| METADATA.bzl | ||
| 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-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.