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[PyTorch Edge] Update iOS readme to use lite interpreter (#59841)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/59841 As lite interpreter moves to beta, it's recommended to let users start using it. ghstack-source-id: 131766778 Test Plan: CI Reviewed By: husthyc Differential Revision: D29048350 fbshipit-source-id: 54d2ad09b4e9475304522c80b358647bcea79b14
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@ -6,7 +6,7 @@
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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`
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```ruby
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pod 'LibTorch'
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pod 'LibTorch-Lite'
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```
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### Import the library
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@ -14,7 +14,7 @@ pod 'LibTorch'
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For Objective-C developers, simply import the umbrella header
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```
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#import <LibTorch/LibTorch.h>
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#import <LibTorch-Lite.h>
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```
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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](https://github.com/pytorch/ios-demo-app/tree/master/PyTorchDemo) demo where you can find out how C++, Objective-C and Swift work together.
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