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Changed TFLite -> LiteRT in everything but code and file names #2111

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Merged
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Jul 8, 2025
Merged

Changed TFLite -> LiteRT in everything but code and file names #2111

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2 changes: 1 addition & 1 deletion ...ent/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/2-overview.md
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Expand Up @@ -46,7 +46,7 @@ The low-light enhancement pipeline is adapted from the LiveHDR+ method originall

![example image alt-text#center](lle_pipeline.png "Low-Light Enhancement Pipeline Diagram")

The Low-Resolution Coefficient Prediction Network (implemented with TFLite) performs computations such as:
The Low-Resolution Coefficient Prediction Network (implemented with LiteRT) performs computations such as:
- Strided convolutions.
- Local feature extraction using convolutional layers.
- Global feature extraction using convolutional and fully connected layers.
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4 changes: 2 additions & 2 deletions content/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/3-build.md
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Expand Up @@ -74,9 +74,9 @@ Leave the container by pressing `Ctrl+D`.
## Notes on the cmake configuration options

- `-DENABLE_SME2=$ENABLE_SME2` with `ENABLE_SME2=0`: SME2 (Scalable Matrix Extension 2) is disabled in this build (`0`).
- `-DARMNN_TFLITE_PARSER=0`: Configures the `ai-camera-pipelines` repository to use TFLite with XNNPack instead of ArmNN.
- `-DARMNN_TFLITE_PARSER=0`: Configures the `ai-camera-pipelines` repository to use LiteRT with XNNPack instead of ArmNN.
- `-DENABLE_KLEIDICV:BOOL=ON`: Enables KleidiCV for optimized image processing.
- `-DXNNPACK_ENABLE_KLEIDIAI:BOOL=ON`: Enables KleidiAI acceleration for TFLite workloads via XNNPack.
- `-DXNNPACK_ENABLE_KLEIDIAI:BOOL=ON`: Enables KleidiAI acceleration for LiteRT workloads via XNNPack.

## Install the pipelines

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4 changes: 2 additions & 2 deletions ...learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/5-performances.md
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Expand Up @@ -16,11 +16,11 @@ The application you built earlier includes a *benchmark mode* that runs the core
These benchmarks demonstrate the performance improvements enabled by KleidiCV and KleidiAI:
- KleidiCV enhances OpenCV performance with computation kernels optimized for Arm processors.

- KleidiAI accelerates TFLite + XNNPack inference using AI-optimized micro-kernels tailored for Arm CPUs.
- KleidiAI accelerates LiteRT + XNNPack inference using AI-optimized micro-kernels tailored for Arm CPUs.

## Performances with KleidiCV and KleidiAI

By default, the OpenCV library is built with KleidiCV support, and TFLite+xnnpack is built with KleidiAI support.
By default, the OpenCV library is built with KleidiCV support, and LiteRT+xnnpack is built with KleidiAI support.

You can run the benchmarks using the applications you built earlier.

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