Update maven and swiftpm version to 0.7.0

docs/source/getting-started.md

@@ -124,7 +124,7 @@ To add the library to your app, add the following dependency to gradle build rul
 ```
 # app/build.gradle.kts
 dependencies {
-  implementation("org.pytorch:executorch-android:0.6.0")
+  implementation("org.pytorch:executorch-android:0.7.0")
 }
 
 # See latest available versions in https://mvnrepository.com/artifact/org.pytorch/executorch-android

docs/source/using-executorch-android.md

@@ -28,17 +28,17 @@ The AAR library can be used for generic Android device with arm64-v8a or x86_64
 
 ExecuTorch is available on [Maven Central](https://mvnrepository.com/artifact/org.pytorch/executorch-android).
 
-Simply add the target [`org.pytorch:executorch-android:0.6.0-rc1`](https://repo.maven.apache.org/maven2/org/pytorch/executorch-android/0.6.0-rc1/) to your Android app dependency (build.gradle), and build your app.
+Simply add the target [`org.pytorch:executorch-android:0.7.0`](https://repo.maven.apache.org/maven2/org/pytorch/executorch-android/0.7.0/) to your Android app dependency (build.gradle), and build your app.
 
 For example:
 ```
 # app/build.gradle.kts
 dependencies {
-    implementation("org.pytorch:executorch-android:0.6.0-rc1")
+    implementation("org.pytorch:executorch-android:0.7.0")
 }
 ```
 
-Note: If you want to use release v0.5.0, please use dependency `org.pytorch:executorch-android:0.5.1`.
+Note: If you want to use release v0.6.0, please use dependency `org.pytorch:executorch-android:0.6.0`.
 
 Click the screenshot below to watch the *demo video* on how to add the package and run a simple ExecuTorch model with Android Studio.
 <a href="_static/img/android_studio.mp4">
@@ -53,8 +53,8 @@ You can also directly specify an AAR file in the app. We upload pre-built AAR to
 
 | Version | AAR | SHASUMS |
 | ------- | --- | ------- |
-| [v0.6.0-rc1](https://github.com/pytorch/executorch/releases/tag/v0.6.0-rc1) | [executorch.aar](https://ossci-android.s3.amazonaws.com/executorch/release/v0.6.0-rc1/executorch.aar) | [executorch.aar.sha256sums](https://ossci-android.s3.amazonaws.com/executorch/release/v0.6.0-rc1/executorch.aar.sha256sums) |
-| [v0.5.0](https://github.com/pytorch/executorch/releases/tag/v0.5.0) | [executorch.aar](https://ossci-android.s3.amazonaws.com/executorch/release/v0.5.0-rc3/executorch.aar) | [executorch.aar.sha256sums](https://ossci-android.s3.amazonaws.com/executorch/release/v0.5.0-rc3/executorch.aar.sha256sums) |
+| [v0.7.0](https://github.com/pytorch/executorch/releases/tag/v0.7.0-rc5) | [executorch.aar](https://ossci-android.s3.amazonaws.com/executorch/release/v0.7.0-rc5/executorch.aar) | [executorch.aar.sha256sums](https://ossci-android.s3.amazonaws.com/executorch/release/v0.7.0-rc5/executorch.aar.sha256sums) |
+| [v0.6.0](https://github.com/pytorch/executorch/releases/tag/v0.6.0) | [executorch.aar](https://ossci-android.s3.amazonaws.com/executorch/release/v0.6.0-rc1/executorch.aar) | [executorch.aar.sha256sums](https://ossci-android.s3.amazonaws.com/executorch/release/v0.6.0-rc1/executorch.aar.sha256sums) |
 
 ### Snapshots from main branch
 
@@ -90,7 +90,7 @@ implementation("com.facebook.fbjni:fbjni:0.5.1")
 In your app working directory, such as executorch/examples/demo-apps/android/LlamaDemo,
 ```
 mkdir -p app/libs
-curl https://ossci-android.s3.amazonaws.com/executorch/release/v0.6.0-rc1/executorch.aar -o app/libs/executorch.aar
+curl https://ossci-android.s3.amazonaws.com/executorch/release/v0.7.0/executorch.aar -o app/libs/executorch.aar
 ```
 
 And include it in gradle:

examples/demo-apps/apple_ios/LLaMA/docs/delegates/mps_README.md

@@ -78,7 +78,7 @@ sudo /Applications/CMake.app/Contents/bin/cmake-gui --install
 The prebuilt ExecuTorch runtime, backend, and kernels are available as a Swift PM package.
 
 ### Xcode
-Open the project in Xcode.In Xcode, go to `File > Add Package Dependencies`. Paste the URL of the ExecuTorch repo into the search bar and select it. Make sure to change the branch name to the desired ExecuTorch version, e.g., “swiftpm-0.6.0”, or a branch name in format "swiftpm-<version>.<year_month_date>" (e.g. "swiftpm-0.7.0-20250401") for a nightly build on a specific date.
+Open the project in Xcode.In Xcode, go to `File > Add Package Dependencies`. Paste the URL of the ExecuTorch repo into the search bar and select it. Make sure to change the branch name to the desired ExecuTorch version, e.g., “swiftpm-0.7.0”, or a branch name in format "swiftpm-<version>.<year_month_date>" (e.g. "swiftpm-0.7.0-20250401") for a nightly build on a specific date.
 
 Link your binary with the ExecuTorch runtime and any backends or kernels used by the exported ML model. It is recommended to link the core runtime to the components that use ExecuTorch directly, and link kernels and backends against the main app target.
 

examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md

@@ -121,7 +121,7 @@ While we recommended using the latest prebuilt package pre-configured with the X
 Go to Project Navigator, click on LLaMA. `Project --> LLaMA --> Package Dependencies`, and update the package dependencies to any of the available options below:
 
 - Branch --> swiftpm-0.7.0.20250401 (amend to match the latest nightly build)
-- Branch --> swiftpm-0.6.0
+- Branch --> swiftpm-0.7.0
 
 ### 2.2 Manually build the package locally and link them