The build.gradle is configured to use TensorFlow Lite's nightly build.
If you see a build error related to compatibility with Tensorflow Lite's Java API (example: method X is undefined for type Interpreter), there has likely been a backwards compatible change to the API. You will need to pull new app code that's compatible with the nightly build and may need to first wait a few days for our external and internal code to merge.
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Follow the Bazel steps for the TF Demo App:
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Install Bazel and Android Prerequisites. It's easiest with Android Studio.
- You'll need at least SDK version 23.
- Make sure to install the latest version of Bazel. Some distributions ship with Bazel 0.5.4, which is too old.
- Bazel requires Android Build Tools
26.0.1or higher. - Bazel is incompatible with NDK revisions 15 and above, with revision 16 being a compile-breaking change. Download an older version manually instead of using the SDK Manager.
- You also need to install the Android Support Repository, available
through Android Studio under
Android SDK Manager -> SDK Tools -> Android Support Repository.
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Edit your
WORKSPACEto add SDK and NDK targets.NOTE: As long as you have the SDK and NDK installed, the
./configurescript will create these rules for you. Answer "Yes" when the script asks to automatically configure the./WORKSPACE.- Make sure the
api_levelinWORKSPACEis set to an SDK version that you have installed. - By default, Android Studio will install the SDK to
~/Android/Sdkand the NDK to~/Android/Sdk/ndk-bundle(but the NDK should be a manual download until Bazel supports NDK 16. See bullet points under (1)).
- Make sure the
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Build the app with Bazel. The demo needs C++11:
bazel build -c opt --cxxopt='--std=c++11' \
//tensorflow/contrib/lite/java/demo/app/src/main:TfLiteCameraDemo- Install the demo on a debug-enabled device:
adb install bazel-bin/tensorflow/contrib/lite/java/demo/app/src/main/TfLiteCameraDemo.apk