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Mhp23 patch 1 #23

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Mhp23 patch 1 #23

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e970f2e
Update react-native-fast-tflite.podspec
Mhp23 Jan 23, 2024
02dd7c3
Update README.md
Mhp23 Jan 23, 2024
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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -33,7 +33,11 @@ A high-performance [TensorFlow Lite](https://www.tensorflow.org/lite) library fo
```
This allows you to drop `.tflite` files into your app and swap them out at runtime without having to rebuild anything! 🔥
3. (Optional) If you want to enable the GPU Delegate, see ["Using GPU Delegates"](#using-gpu-delegates) down below.
4. Run your app (`yarn android` / `npx pod-install && yarn ios`)
4. Run your app:
- For Android: `yarn android`
- For iOS:
- If you're using Apple silicon (M1, M2, or M3), Since the current stable version of TensorFlow Lite doesn't support the `arm64` simulators, you'll need to use the following command to run the app on `x86_64` architecture: `npx pod-install && yarn ios --destination arch=x86_64`
- Otherwise, use this command: `npx pod-install && yarn ios`

## Usage

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1 change: 1 addition & 0 deletions react-native-fast-tflite.podspec
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Expand Up @@ -23,6 +23,7 @@ Pod::Spec.new do |s|
s.source_files = "ios/**/*.{h,m,mm}", "cpp/**/*.{hpp,cpp,c,h}"

s.pod_target_xcconfig = {
'EXCLUDED_ARCHS[sdk=iphonesimulator*]' => 'arm64 i386',
'GCC_PREPROCESSOR_DEFINITIONS' => "$(inherited) FAST_TFLITE_ENABLE_CORE_ML=#{enableCoreMLDelegate}",
'CLANG_CXX_LANGUAGE_STANDARD' => 'c++17',
}
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