Copy libs to facerecognitionlibrary to compile the tensorflow so-file

1. Copy all from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/genfiles/tensorflow" to "facerecognitionlibrary/jni-build/jni/genfiles/tensorflow"
2. Copy all from "tensorflow/tensorflow" to "facerecognitionlibrary/jni-build/jni/include/tensorflow"
3. Copy all from "tensorflow/third_party" to "facerecognitionlibrary/jni-build/jni/include/third_party"
4. Copy all from "tensorflow/bazel-tensorflow/external/protobuf" to "facerecognitionlibrary/jni-build/jni/include/google/protobuf"
5. Copy the files "libprotos_all_cc.a", "libandroid_tensorflow_lib.lo", "libandroid_tensorflow_lib_lite.lo", "kernels/libandroid_tensorflow_kernels.lo" from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/bin/tensorflow/core" to "facerecognitionlibrary/jni-build/jni/libs/arm64-v8a"
6. Copy the files "libprotobuf.a" and "libprotobuf_lite.a" from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/bin/external/protobuf" to "facerecognitionlibrary/jni-build/jni/libs/arm64-v8a"
7. Change line in Application.mk to "APP_ABI := arm64-v8a"
8. Delete the lines "'-Wl,--icf=all' ", "'-march=armv7-a' " and "-Wl,--fix-cortex-a8 " in the Android.mk file
9. Make, Make install

在tensorflow原始碼包中執行，下面編譯指令，生成libtensorflow_inference.so. 通過修改cpu=arm64-v8a,armeabi-v7a,armeabi分別生成各平臺的so。

Then, to build the native TF library:

bazel build -c opt //tensorflow/contrib/android:libtensorflow_inference.so \
   --crosstool_top=//external:android/crosstool \
   [email protected]_tools//tools/cpp:toolchain \
   --cpu=armeabi-v7a

在tensorflow原始碼包中執行，下面編譯指令，生成libtensorflow_demo.so. 通過修改cpu=arm64-v8a,armeabi-v7a,armeabi分別生成各平臺的so。

bazel build //tensorflow/examples/android:tensorflow_demo --fat_apk_cpu=armeabi-v7a,arm64-v8a

然後將2個so庫，分別放入android studio  jnilibs的對於lib庫檔案加