message: Update the guide to use build_aar_with_docker.sh script
  Some users are confused and run all commands in the "Set up build environment using Docker" section. In fact, they only need to download and build the docker image.
diff: @@ -76,7 +76,7 @@ may change.
  ## Selectively build TensorFlow Lite with Bazel
  This section assumes that you have downloaded TensorFlow source codes and
  -[set up the local development environment](https://www.tensorflow.org/lite/guide/android#build_tensorflow_lite_locally)
  +[set up the local development environment](https://www.tensorflow.org/lite/guide/build_android#set_up_build_environment_without_docker)
  to Bazel.
  ### Build AAR files for Android project
  @@ -118,7 +118,15 @@ files. Note that these dependencies must exist in the TensorFlow repo.
  This section assumes that you have installed
  [Docker](https://docs.docker.com/get-docker/) on your local machine and
  -[built the TensorFlow Lite docker file](https://www.tensorflow.org/lite/guide/android#set_up_build_environment_using_docker).
  +downloaded the TensorFlow Lite Dockerfile
  +[here](https://www.tensorflow.org/lite/guide/build_android#set_up_build_environment_using_docker).
  +
  +After downloading the above Dockerfile, you can build the docker image by
  +running:
  +
  +```shell
  +docker build . -t tflite-builder -f tflite-android.Dockerfile
  +```
  ### Build AAR files for Android project
  @@ -155,8 +163,8 @@ caching.
  ## Add AAR files to project
  Add AAR files by directly
  -[importing the AAR into your project](https://www.tensorflow.org/lite/guide/android#add_aar_directly_to_project),
  +[importing the AAR into your project](https://www.tensorflow.org/lite/guide/build_android#add_aar_directly_to_project),
  or by
  -[publishing the custom AAR to your local Maven repository](https://www.tensorflow.org/lite/guide/android#install_aar_to_local_maven_repository).
  +[publishing the custom AAR to your local Maven repository](https://www.tensorflow.org/lite/guide/build_android#install_aar_to_local_maven_repository).
  Note that you have to add the AAR files for `tensorflow-lite-select-tf-ops.aar`
  as well if you generate it.
  