TensorFlow Android端编译过程记录
作者：互联网
TensorFlow Android端编译过程记录
分享一下TensorFlow Android端编译全过程
翻墙，一定要翻墙，而且要保证下载速度的翻墙！
首先说明：我是深度学习小白，关于深度学习TensorFlow不了解，因为公司需要将图像识别模型放在移动端设备上使用，所以才尝试编译它，万幸最后成功了！
参照
TensorFlow GitHub中的Android端编译指导
当然，编译过程中产生的问题都可以在issues中找找
编译环境
系统：mac os 10.14
bazel: 0.24.1
TensorFlow：1.14.0
Android SDK：23
Android NDK：17c
Python：3.6.3
jdk：1.8
环境搭建
1、安装Bazel 0.24.1
按照官网mac 上步骤安装即可，为什么安装0.24.1，因为其他的我试了，不合适。
2、安装jdk1.8
3、安装python 3.6.3
4、安装Android SDK 23
使用Android Studio或者官网下载安装即可
5、安装Android NDK
在官网下载或百度NDK 17下载后解压到sdk安装目录
为什么一定要是 17c ，因为其他的我都试了，然而只是浪费感情。
6、下载TensorFlow 1.14.0 release版
选择 1.14.0 的原因是，此版本我在mac上编译iOS和Android都成功了
PS：其他版本我也尝试过，编译过程中缺少文件。。。。
编译过程
1、清空编译缓存
如果之前编译过，最好是用一下，如果不用，不知道会出什么问题。
bazel clean --expunge
2、configure 配置TensorFlow编译过程中需要的编译环境
按照自己电脑配置情况按照步骤进行配置即可，以下是我的mac上的一些配置：
终端输入：
./configure
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.24.1 installed.
Please specify the location of python. [Default is /usr/local/opt/python@2/bin/python2.7]: /Library/Frameworks/Python.framework/Versions/3.6/bin/python3.6
Found possible Python library paths:
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Please input the desired Python library path to use. Default is [/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages]
Do you wish to build TensorFlow with XLA JIT support? [y/N]: n
No XLA JIT support will be enabled for TensorFlow.
Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n
No OpenCL SYCL support will be enabled for TensorFlow.
Do you wish to build TensorFlow with ROCm support? [y/N]: n
No ROCm support will be enabled for TensorFlow.
Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.
Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.
Do you wish to build TensorFlow with MPI support? [y/N]: n
No MPI support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native -Wno-sign-compare]:
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: y
Searching for NDK and SDK installations.
Please specify the home path of the Android NDK to use. [Default is /Users/mask/library/Android/Sdk/ndk-bundle]: /Users/mask/Library/Android/sdk/android-ndk-r17c
Please specify the (min) Android NDK API level to use. [Available levels: ['14', '15', '16', '17', '18', '19', '21', '22', '23', '24', '26', '27', '28']] [Default is 18]: 21
Please specify the home path of the Android SDK to use. [Default is /Users/mask/library/Android/Sdk]: /Users/mask/Library/Android/sdk
Please specify the Android SDK API level to use. [Available levels: ['23', '26', '29']] [Default is 29]: 23
Please specify an Android build tools version to use. [Available versions: ['.DS_Store', '28.0.3', '29.0.2']] [Default is 29.0.2]: 28.0.3
Do you wish to build TensorFlow with iOS support? [y/N]: n
No iOS support will be enabled for TensorFlow.
Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
--config=mkl # Build with MKL support.
--config=monolithic # Config for mostly static monolithic build.
--config=gdr # Build with GDR support.
--config=verbs # Build with libverbs support.
--config=ngraph # Build with Intel nGraph support.
--config=numa # Build with NUMA support.
--config=dynamic_kernels # (Experimental) Build kernels into separate shared objects.
Preconfigured Bazel build configs to DISABLE default on features:
--config=noaws # Disable AWS S3 filesystem support.
--config=nogcp # Disable GCP support.
--config=nohdfs # Disable HDFS support.
--config=noignite # Disable Apache Ignite support.
--config=nokafka # Disable Apache Kafka support.
--config=nonccl # Disable NVIDIA NCCL support.
Configuration finished
3、开始编译
终端输入：
bazel build -c opt //tensorflow/contrib/android:libtensorflow_inference.so \
--verbose_failures \
--crosstool_top=//external:android/crosstool \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--cxxopt=-std=c++11 \
--cpu=armeabi-v7a
开始编译
漫长的等待，前面的编译一般不会出现问题，但是最后关头会出现：
ERROR: /Users/mask/Desktop/tensorflow-1.14.0Android/tensorflow/contrib/android/BUILD:60:1: Linking of rule '//tensorflow/contrib/android:libtensorflow_inference.so' failed (Exit 1): clang failed: error executing command
(cd /private/var/tmp/_bazel_mask/acbc0c8b666a3bbc6e9563ed36a12d36/execroot/org_tensorflow && \
exec env - \
ANDROID_BUILD_TOOLS_VERSION=28.0.3 \
ANDROID_NDK_API_LEVEL=21 \
ANDROID_NDK_HOME=/Users/mask/Library/Android/sdk/android-ndk-r17c \
ANDROID_SDK_API_LEVEL=23 \
ANDROID_SDK_HOME=/Users/mask/Library/Android/sdk \
PATH=/opt/local/bin:/opt/local/sbin:/Library/Frameworks/Python.framework/Versions/3.6/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Users/mask/bin:/Users/mask/Library/Android/sdk/android-ndk-r17c/ \
PWD=/proc/self/cwd \
PYTHON_BIN_PATH=/Library/Frameworks/Python.framework/Versions/3.6/bin/python3.6 \
PYTHON_LIB_PATH=/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages \
TF_CONFIGURE_IOS=0 \
TF_DOWNLOAD_CLANG=0 \
TF_NEED_CUDA=0 \
TF_NEED_OPENCL_SYCL=0 \
TF_NEED_ROCM=0 \
external/androidndk/ndk/toolchains/llvm/prebuilt/darwin-x86_64/bin/clang -shared -o bazel-out/armeabi-v7a-opt/bin/tensorflow/contrib/android/libtensorflow_inference.so -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/contrib/android/libandroid_tensorflow_inference_jni.lo -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/java/src/main/native/libnative.lo -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/libandroid_tensorflow_lib.lo -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/kernels/libandroid_tensorflow_kernels.lo -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/libandroid_tensorflow_lib_lite.lo -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/libplatform_base.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/hash/libhash.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/hash/libcity.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/types/libbad_variant_access.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/container/libraw_hash_set.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/types/libbad_optional_access.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/container/libhashtablez_sampler.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/synchronization/libsynchronization.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/synchronization/libgraphcycles_internal.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/debugging/libstacktrace.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/debugging/libsymbolize.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/debugging/libdebugging_internal.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/debugging/libdemangle_internal.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/base/libmalloc_internal.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/time/libtime.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/time/internal/cctz/libtime_zone.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/time/internal/cctz/libcivil_time.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/strings/libstrings.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/strings/libinternal.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/base/libbase.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/com_google_absl/absl/numeric/libint128.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/libstats_calculator_portable.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/double_conversion/libdouble-conversion.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/farmhash_archive/libfarmhash.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/nsync/libnsync_cpp.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/libprotos_all_proto_cc_impl.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/tensorflow/core/liberror_codes_proto_cc_impl.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/fft2d/libfft2d.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/protobuf_archive/libprotobuf.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/protobuf_archive/libprotobuf_lite.a -Wl,-no-whole-archive -Wl,-whole-archive bazel-out/armeabi-v7a-opt/bin/external/zlib_archive/libzlib.a -Wl,-no-whole-archive external/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a/libandroid_support.a external/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a/libc++.a external/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a/libc++_static.a external/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a/libc++abi.a external/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a/libunwind.a -landroid -latomic -ldl -llog -lm -z defs -s -Wl,--gc-sections -Wl,--version-script,tensorflow/contrib/android/jni/version_script.lds -ldl -lz -pthread -pthread -pthread -framework Foundation -lm -lm -target armv7-none-linux-androideabi -Wl,--fix-cortex-a8 -gcc-toolchain external/androidndk/ndk/toolchains/arm-linux-androideabi-4.9/prebuilt/darwin-x86_64 -no-canonical-prefixes -Lexternal/androidndk/ndk/sources/cxx-stl/llvm-libc++/libs/armeabi-v7a -static-libgcc '--sysroot=external/androidndk/ndk/platforms/android-21/arch-arm')
Execution platform: @bazel_tools//platforms:host_platform
external/androidndk/ndk/toolchains/arm-linux-androideabi-4.9/prebuilt/darwin-x86_64/lib/gcc/arm-linux-androideabi/4.9.x/../../../../arm-linux-androideabi/bin/ld: error: cannot open Foundation: No such file or directory
clang: error: linker command failed with exit code 1 (use -v to see invocation)
Target //tensorflow/contrib/android:libtensorflow_inference.so failed to build
INFO: Elapsed time: 2413.791s, Critical Path: 324.00s
INFO: 942 processes: 942 local.
FAILED: Build did NOT complete successfully
解决方式：
打开文件：bazel-tensorflow/external/com_google_absl/absl/time/internal/cctz/Build.bazel
删除以下Blocks:
config_setting(
name = "osx",
constraint_values = [
"@bazel_tools//platforms:osx",
],
)
config_setting(
name = "ios",
constraint_values = [
"@bazel_tools//platforms:ios",
],
)
linkopts = select({
":osx": [
"-framework Foundation",
],
":ios": [
"-framework Foundation",
],
"//conditions:default": [],
}),
删除后重新输入，编译：
bazel build -c opt //tensorflow/contrib/android:libtensorflow_inference.so \
--verbose_failures \
--crosstool_top=//external:android/crosstool \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--cxxopt=-std=c++11 \
--cpu=armeabi-v7a
接下来 .so 文件会编译成功！
位置：bazel-bin/tensorflow/contrib/android/libtensorflow_inference.so
最好是复制一份，因为接下来编译 .jar 会覆盖目录
编译 .jar
终端输入：
bazel build //tensorflow/contrib/android:android_tensorflow_inference_java
此过程很快，一般不会出现问题，编译结果：
bazel-bin/tensorflow/contrib/android/libandroid_tensorflow_inference_java.jar
当然还有libandroid_tensorflow_inference_java-native-header.jar
补充说明
我在交付Android开发人员使用时一些问题：
1、如需支持其他cpu ，请修改编译命令，单独编译：–cpu = armeabi …
2、如armeabi-v7a等不支持64位运算的cpu，运行pb模型时，如果模型使用了64位运算，会出错~，这个如何解决：要不找厂家，要不找开发，自己选。。。
标签：bin,bazel,Wl,armeabi,编译,TensorFlow,Android,whole,archive 来源： https://blog.csdn.net/maskviroky/article/details/99677947