message: Updated TF Lite select ops doc
diff: @@ -98,14 +98,48 @@ includes the necessary library of TensorFlow ops.
  ### Android AAR
  -A new Android AAR target with select TensorFlow ops has been added for
  -convenience. Assuming a <a href="android.md">working TensorFlow Lite build
  -environment</a>, build the Android AAR with select TensorFlow ops as follows:
  +For Android, we recommend using the prebuilt [AAR with TensorFlow ops hosted at
  +JCenter](https://bintray.com/google/tensorflow/tensorflow-lite-select-tf-ops).
  +
  +You can specify this in your `build.gradle` dependencies by adding it alongside
  +the standard TensorFlow Lite AAR as follows:
  +
  +```build
  +dependencies {
  + implementation 'org.tensorflow:tensorflow-lite:0.0.0-nightly'
  + // This dependency adds the necessary TF op support.
  + implementation 'org.tensorflow:tensorflow-lite-select-tf-ops:0.0.0-nightly'
  +}
  +```
  +
  +Once you've added the dependency, the necessary delegate for handling
  +the graph's TensorFlow ops should be automatically installed for
  +graphs that require them.
  +
  +*Note*: The TensorFlow ops dependency is relatively large, so you'll probably
  +want to filter out unnecessary x86 ABIs in your `.gradle` file by setting up
  +your `abiFilters`.
  +
  +```build
  +android {
  + defaultConfig {
  + ndk {
  + abiFilters 'armeabi-v7a', 'arm64-v8a'
  + }
  + }
  +}
  +```
  +
  +#### Building the Android AAR
  +
  +For more advanced cases, you can also build the library manually. Assuming a
  +<a href="android.md">working TensorFlow Lite build environment</a>, build the
  +Android AAR with select TensorFlow ops as follows:
  ```sh
  -bazel build --cxxopt='--std=c++11' -c opt \
  +bazel build --cxxopt='--std=c++14' -c opt \
  --config=android_arm --config=monolithic \
  - //tensorflow/lite/java:tensorflow-lite-with-select-tf-ops
  + //tensorflow/lite/java:tensorflow-lite-select-tf-ops
  ```
  This will generate an AAR file in `bazel-bin/tensorflow/lite/java/`. From there,
  