Android update prebuilt library link (#4362) (#4365)

Summary:
0.2 -> 0.3

Pull Request resolved: #4362

Reviewed By: lucylq

Differential Revision: D60122223

Pulled By: kirklandsign

fbshipit-source-id: 2bb18f27ca819a021ca92ebb18d3b10ef6d0abb5
(cherry picked from commit 78df332)

Co-authored-by: Hansong Zhang <hsz@fb.com>

docs/source/android-prebuilt-library.md

@@ -4,17 +4,18 @@ We provide two prebuilt Android libraries (AAR), `executorch.aar` for generic us
 
 ## Contents of libraries
 - `executorch.aar`
-  - [Java library](https://github.com/pytorch/executorch/tree/release/0.2/extension/android/src/main/java/org/pytorch/executorch)
-  - JNI contains the JNI binding for [NativePeer.java](https://github.com/pytorch/executorch/blob/release/0.2/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.
+  - [Java library](https://github.com/pytorch/executorch/tree/release/0.3/extension/android/src/main/java/org/pytorch/executorch)
+  - JNI contains the JNI binding for [NativePeer.java](https://github.com/pytorch/executorch/blob/release/0.3/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/release/0.2/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/release/0.2/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.
+  - [Java library](https://github.com/pytorch/executorch/tree/release/0.3/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/release/0.3/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.
     - Comes with two ABI variants, arm64-v8a and x86_64.
 
 ## Downloading AAR
-[executorch.aar](https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.2.1/executorch.aar) (sha1sum: af7690394fd978603abeff40cf64bd2df0dc793a)
-[executorch_llama.aar](https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.2.1/executorch-llama.aar) (sha1sum: 2973b1c41aa2c2775482d7cc7c803d0f6ca282c1)
+[executorch.aar](https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.3/executorch.aar)
+[executorch_llama.aar](https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.3/executorch-llama.aar)
+[SHA1SUMS](https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.3/SHA1SUMS)
 
 ## Using prebuilt libraries
 
@@ -23,7 +24,7 @@ To add the Java library to your app, simply download the AAR, and add it to your
 In your app working directory, such as example executorch/examples/demo-apps/android/LlamaDemo,
 ```
 mkdir -p app/libs
-curl https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.2.1/executorch-llama.aar -o app/libs/executorch.aar
+curl https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.3/executorch-llama.aar -o app/libs/executorch.aar
 ```
 
 And include it in gradle:

examples/demo-apps/android/LlamaDemo/download_prebuilt_lib.sh

@@ -7,8 +7,8 @@
 
 set -eu
 
-AAR_URL="https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.2.1/executorch-llama.aar"
-AAR_SHASUM="2973b1c41aa2c2775482d7cc7c803d0f6ca282c1"
+AAR_URL="https://ossci-android.s3.us-west-1.amazonaws.com/executorch/release/0.3/executorch-llama.aar"
+AAR_SHASUM="f06cc1606e5e05f00fd0ae721f5d37d56124fd28"
 
 LIBS_PATH="$(dirname "$0")/app/libs"
 AAR_PATH="${LIBS_PATH}/executorch-llama.aar"