我正在使用 cmake
构建以下代码。我想使用tensorflow的C++ API,但是在编译代码的时候遇到了错误。
错误如下:
>/home/zifeng/software/clion-2017.2.3/bin/cmake/bin/cmake --build
>/home/zifeng/CLionProjects/tfcpp_demo/cmake-build-debug --target all -- -j 4
>[ 50%] Building CXX object CMakeFiles/tfcpp_demo.dir/src/main.cpp.o
>[100%] Linking CXX executable tfcpp_demo
>/usr/bin/ld: CMakeFiles/tfcpp_demo.dir/src/main.cpp.o: undefined reference to symbol '_ZNK10tensorflow6Status8ToStringB5cxx11Ev'
>//home/zifeng/CLionProjects/tfcpp_demo/./lib/libtensorflow_framework.so: error adding symbols: DSO missing from command line
>collect2: error: ld returned 1 exit status
>CMakeFiles/tfcpp_demo.dir/build.make:94: recipe for target 'tfcpp_demo' failed
>make[2]: *** [tfcpp_demo] Error 1
>CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/tfcpp_demo.dir/all' failed
>make[1]: *** [CMakeFiles/tfcpp_demo.dir/all] Error 2
>Makefile:83: recipe for target 'all' failed
>make: *** [all] Error 2
这是我的代码:
#include <tensorflow/core/platform/env.h>
#include <tensorflow/core/public/session.h>
#include <iostream>
using namespace std;
using namespace tensorflow;
int main()
{
Session* session;
Status status = NewSession(SessionOptions(), &session);
if (!status.ok()) {
cout << status.ToString() << "\n";
return 1;
}
cout << "Session successfully created.\n";
}
这是我的生成文件:
cmake_minimum_required(VERSION 3.7)
project(tfcpp_demo)
set(CMAKE_CXX_STANDARD 11)
link_directories(./lib)
set(SOURCE_FILES
src/main.cpp)
include_directories(
/home/zifeng/software/tensorflow/tensorflow
/home/zifeng/software/tensorflow/tensorflow/bazel-genfiles
/home/zifeng/software/tensorflow/tensorflow/tensorflow/contrib/makefile/gen/protobuf/include
/home/zifeng/software/tensorflow/tensorflow/tensorflow/contrib/makefile/downloads/nsync/public
/usr/local/lib/python2.7/dist-packages/tensorflow/include
)
add_executable(tfcpp_demo ${SOURCE_FILES})
target_link_libraries(tfcpp_demo tensorflow_cc)
最佳答案
我和你有同样的问题,我解决了。
看起来有些 libtensorflow .so 文件在链接时丢失了。
我使用两个命令生成我的 libtensorflow_cc.so:
bazel build --config=monolithic --config=cuda //tensorflow:libtensorflow_cc.so
bazel build --config=monolithic --config=cuda //tensorflow:libtensorflow_framework.so
它比一个命令更好。
bazel build --config=opt --config=cuda //tensorflow:libtensorflow_cc.so
关于c++ - 使用 tensorflow 的 C++ API 构建错误,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/46944416/