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Max Ren cca34be584 Update XNNPACK Version (#139913) 
Updating XNNPACK Version to 4ea82e595b36106653175dcb04b2aa532660d0d8

submodule update
Pull Request resolved: https://github.com/pytorch/pytorch/pull/139913
Approved by: https://github.com/digantdesai, https://github.com/huydhn
2024-11-18 18:16:31 +00:00
..
TestApp Update XNNPACK Version (#139913) 2024-11-18 18:16:31 +00:00
.gitignore Add iOS test app skeleton (#26261) 2019-09-17 11:06:57 -07:00
LibTorch-Lite-Nightly.podspec.template Clarify that libtorch API is C++17 compatible (#136471) 2024-09-24 02:03:33 +00:00
LibTorch-Lite.h [OSS] Add podspec for libtorch-lite (#59638) 2021-06-08 14:46:23 -07:00
LibTorch-Lite.podspec.template Refactor ios-build-test workflow to support binary release (#108322) 2023-09-10 19:08:15 +00:00
LibTorch.h
LibTorch.podspec.template Clarify that libtorch API is C++17 compatible (#136471) 2024-09-24 02:03:33 +00:00
METADATA.bzl Add all bzl files per D36874458 2022-06-06 09:40:19 -07:00
README.md [PyTorch Edge] Update iOS readme to use lite interpreter (#59841) 2021-06-22 02:17:04 -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-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.