chore: import upstream snapshot with attribution

tensorflow/tools/android/inference_interface/README.md

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+# Android TensorFlow support
+
+This directory defines components (a native `.so` library and a Java JAR)
+geared towards supporting TensorFlow on Android. This includes:
+
+- The [TensorFlow Java API](../../java/README.md)
+- A `TensorFlowInferenceInterface` class that provides a smaller API
+  surface suitable for inference and summarizing performance of model execution.
+
+For example usage, see [TensorFlowImageClassifier.java](../../examples/android/src/org/tensorflow/demo/TensorFlowImageClassifier.java)
+in the [TensorFlow Android Demo](../../examples/android).
+
+For prebuilt libraries, see the
+[nightly Android build artifacts](https://ci.tensorflow.org/view/Nightly/job/nightly-android/)
+page for a recent build.
+
+The TensorFlow Inference Interface is also available as a
+[JCenter package](https://bintray.com/google/tensorflow/tensorflow)
+(see the tensorflow-android directory) and can be included quite simply in your
+android project with a couple of lines in the project's `build.gradle` file:
+
+```
+allprojects {
+    repositories {
+        jcenter()
+    }
+}
+
+dependencies {
+    compile 'org.tensorflow:tensorflow-android:+'
+}
+```
+
+This will tell Gradle to use the
+[latest version](https://bintray.com/google/tensorflow/tensorflow/_latestVersion)
+of the TensorFlow AAR that has been released to
+[JCenter](https://jcenter.bintray.com/org/tensorflow/tensorflow-android/).
+You may replace the `+` with an explicit version label if you wish to
+use a specific release of TensorFlow in your app.
+
+To build the libraries yourself (if, for example, you want to support custom
+TensorFlow operators), pick your preferred approach below:
+
+### Bazel
+
+First follow the Bazel setup instructions described in
+[tensorflow/examples/android/README.md](../../examples/android/README.md)
+
+Then, to build the native TF library:
+
+```
+bazel build -c opt //tensorflow/tools/android/inference_interface:libtensorflow_inference.so \
+   --crosstool_top=//external:android/crosstool \
+   --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
+   --cxxopt=-std=c++11 \
+   --cpu=armeabi-v7a
+```
+
+Replacing `armeabi-v7a` with your desired target architecture.
+
+The library will be located at:
+
+```
+bazel-bin/tensorflow/tools/android/inference_interface/libtensorflow_inference.so
+```
+
+To build the Java counterpart:
+
+```
+bazel build //tensorflow/tools/android/inference_interface:android_tensorflow_inference_java
+```
+
+You will find the JAR file at:
+
+```
+bazel-bin/tensorflow/tools/android/inference_interface/libandroid_tensorflow_inference_java.jar
+```
+
+## AssetManagerFileSystem
+
+This directory also contains a TensorFlow filesystem supporting the Android
+asset manager. This may be useful when writing native (C++) code that is tightly
+coupled with TensorFlow. For typical usage, the library above will be
+sufficient.