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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'
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.
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.
PyTorch is BSD-style licensed, as found in the LICENSE file.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ Python Cuda Text C other
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》