| # Android |
| |
| ## Demo applications and tutorials |
| |
| Demo applications with code walk-through can be find in [this github repo](https://github.com/pytorch/android-demo-app). |
| |
| ## Publishing |
| |
| ##### Release |
| Release artifacts are published to jcenter: |
| |
| ``` |
| repositories { |
| jcenter() |
| } |
| |
| dependencies { |
| implementation 'org.pytorch:pytorch_android:1.3.0' |
| implementation 'org.pytorch:pytorch_android_torchvision:1.3.0' |
| } |
| ``` |
| |
| ##### Nightly |
| |
| Nightly(snapshots) builds are published every night from `master` branch to [nexus sonatype snapshots repository](https://oss.sonatype.org/#nexus-search;quick~pytorch_android) |
| |
| To use them repository must be specified explicitly: |
| ``` |
| repositories { |
| maven { |
| url "https://oss.sonatype.org/content/repositories/snapshots" |
| } |
| } |
| |
| dependencies { |
| ... |
| implementation 'org.pytorch:pytorch_android:1.6.0-SNAPSHOT' |
| implementation 'org.pytorch:pytorch_android_torchvision:1.6.0-SNAPSHOT' |
| ... |
| } |
| ``` |
| The current nightly(snapshots) version is the value of `VERSION_NAME` in `gradle.properties` in current folder, at this moment it is `1.6.0-SNAPSHOT`. |
| |
| ## Building PyTorch Android from Source |
| |
| In some cases you might want to use a local build of pytorch android, for example you may build custom libtorch binary with another set of operators or to make local changes. |
| |
| For this you can use `./scripts/build_pytorch_android.sh` script. |
| ``` |
| git clone https://github.com/pytorch/pytorch.git |
| cd pytorch |
| git submodule update --init --recursive |
| sh ./scripts/build_pytorch_android.sh |
| ``` |
| |
| The workflow contains several steps: |
| |
| 1\. Build libtorch for android for all 4 android abis (armeabi-v7a, arm64-v8a, x86, x86_64) |
| |
| 2\. Create symbolic links to the results of those builds: |
| `android/pytorch_android/src/main/jniLibs/${abi}` to the directory with output libraries |
| `android/pytorch_android/src/main/cpp/libtorch_include/${abi}` to the directory with headers. These directories are used to build `libpytorch.so` library that will be loaded on android device. |
| |
| 3\. And finally run `gradle` in `android/pytorch_android` directory with task `assembleRelease` |
| |
| Script requires that Android SDK, Android NDK and gradle are installed. |
| They are specified as environment variables: |
| |
| `ANDROID_HOME` - path to [Android SDK](https://developer.android.com/studio/command-line/sdkmanager.html) |
| |
| `ANDROID_NDK` - path to [Android NDK](https://developer.android.com/studio/projects/install-ndk) |
| |
| `GRADLE_HOME` - path to [gradle](https://gradle.org/releases/) |
| |
| |
| After successful build you should see the result as aar file: |
| |
| ``` |
| $ find pytorch_android/build/ -type f -name *aar |
| pytorch_android/build/outputs/aar/pytorch_android.aar |
| pytorch_android_torchvision/build/outputs/aar/pytorch_android.aar |
| libs/fbjni_local/build/outputs/aar/pytorch_android_fbjni.aar |
| ``` |
| |
| It can be used directly in android projects, as a gradle dependency: |
| ``` |
| allprojects { |
| repositories { |
| flatDir { |
| dirs 'libs' |
| } |
| } |
| } |
| |
| android { |
| ... |
| packagingOptions { |
| pickFirst "**/libfbjni.so" |
| } |
| ... |
| } |
| |
| dependencies { |
| implementation(name:'pytorch_android', ext:'aar') |
| implementation(name:'pytorch_android_torchvision', ext:'aar') |
| implementation(name:'pytorch_android_fbjni', ext:'aar') |
| ... |
| implementation 'com.android.support:appcompat-v7:28.0.0' |
| implementation 'com.facebook.soloader:nativeloader:0.8.0' |
| } |
| ``` |
| We also have to add all transitive dependencies of our aars. |
| As `pytorch_android` [depends](https://github.com/pytorch/pytorch/blob/master/android/pytorch_android/build.gradle#L62-L63) on `'com.android.support:appcompat-v7:28.0.0'` and `'com.facebook.soloader:nativeloader:0.8.0'`, we need to add them. |
| (In case of using maven dependencies they are added automatically from `pom.xml`). |
| |
| |
| At the moment for the case of using aar files directly we need additional configuration due to packaging specific (`libfbjni.so` is packaged in both `pytorch_android_fbjni.aar` and `pytorch_android.aar`). |
| ``` |
| packagingOptions { |
| pickFirst "**/libfbjni.so" |
| } |
| ``` |
| |
| ## More Details |
| |
| You can find more details about the PyTorch Android API in the [Javadoc](https://pytorch.org/docs/stable/packages.html). |