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pytorch/ios
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Junjie Bai 352731bd6e Revert D18632773: Split libtorch.so back into libtorch_{cpu,cuda,hip} 
Test Plan: revert-hammer

Differential Revision:
D18632773

Original commit changeset: ea717c81e0d7

fbshipit-source-id: 18601439f9f81c9f389020e5a0e4e04adb21772d
2019-11-21 15:01:09 -08:00
..
TestApp Revert D18632773: Split libtorch.so back into libtorch_{cpu,cuda,hip} 2019-11-21 15:01:09 -08:00
.gitignore Add iOS test app skeleton (#26261) 2019-09-17 11:06:57 -07:00
LibTorch.h Change the source link in podspec (#26089) 2019-09-13 15:00:31 -07:00
LibTorch.podspec Revert D18632773: Split libtorch.so back into libtorch_{cpu,cuda,hip} 2019-11-21 15:01:09 -08:00
README.md Update the link for iOS demo app in README.md (#27145) 2019-10-03 13:43:58 -07:00

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.