From edadfca52e69768f8be03f4c439a4ca73ce49245 Mon Sep 17 00:00:00 2001 From: Hansong Zhang Date: Tue, 25 Feb 2025 11:12:57 -0800 Subject: [PATCH] Fix Android prebuilt docs --- docs/source/android-prebuilt-library.md | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/docs/source/android-prebuilt-library.md b/docs/source/android-prebuilt-library.md index 324c63376c5..62bcdd2315e 100644 --- a/docs/source/android-prebuilt-library.md +++ b/docs/source/android-prebuilt-library.md @@ -1,15 +1,11 @@ -# Using Android prebuilt libraries (AAR) +# Using Android prebuilt library (AAR) -We provide two prebuilt Android libraries (AAR), `executorch.aar` for generic use case (image/audio processing) and `executorch_llama.aar` for LLAMA use case. +We provide a prebuilt Android library (AAR), `executorch.aar` for both generic (image/audio processing) and LLAMA use case. -## Contents of libraries +## Contents of library - `executorch.aar` - [Java library](https://github.com/pytorch/executorch/tree/main/extension/android/src/main/java/org/pytorch/executorch) - - JNI contains the JNI binding for [NativePeer.java](https://github.com/pytorch/executorch/blob/main/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java) and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, and Quantized kernels. - - Comes with two ABI variants, arm64-v8a and x86_64. -- `executorch_llama.aar` - - [Java library](https://github.com/pytorch/executorch/tree/main/extension/android/src/main/java/org/pytorch/executorch) (Note: it contains the same Java classes as the previous Java, but it does not contain the JNI binding for generic Module/NativePeer Java code). - - JNI contains the JNI binding for [LlamaModule.java](https://github.com/pytorch/executorch/blob/main/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java) and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, Quantized kernels, and LLAMA-specific Custom ops library. + - JNI contains the JNI binding for the corresponding Java code, and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, Quantized kernels, and LLAMA-specific Custom ops library. - Comes with two ABI variants, arm64-v8a and x86_64. ## Downloading AAR