error in 'make'

[czy36mengfei]

When I run 'make' in build directory , there some errors:

[100%] Linking CXX shared library libextra_losses.so /usr/bin/ld: 找不到 -ltensorflow_framework collect2: error: ld returned 1 exit status CMakeFiles/extra_losses.dir/build.make:166: recipe for target 'libextra_losses.so' failed make[2]: *** [libextra_losses.so] Error 1 CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/extra_losses.dir/all' failed make[1]: *** [CMakeFiles/extra_losses.dir/all] Error 2 Makefile:83: recipe for target 'all' failed make: *** [all] Error 2

do you know the reason? thank you for your help.

ubuntu16.04+python3.6(anaconda3)+tensorflow1.6 thank you very much.

[HiKapok]

@czy36mengfei cmake的输出看一下

[czy36mengfei]

学长好， cmake输出如下 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Looking for pthread_create -- Looking for pthread_create - not found -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda-9.0 (found version "9.0") -- Found CWD: /home/cciip/install_package/tf.extra_losses-master/build -- Found GPU_CAPABILITY: gencode arch=compute_61,code=sm_61

Traceback (most recent call last): File "", line 1, in ImportError: No module named 'tensorflow' Traceback (most recent call last): File "", line 1, in ImportError: No module named 'tensorflow' -- Found TF_INC: -- Found TF_INC_EXTERNAL: /external/nsync/public -- Found TF_LIB: -- Configuring done -- Generating done -- Build files have been written to: /home/cciip/install_package/tf.extra_losses-master/build

是因为我的tensorflow是anoconda的python安装的，所以导入tensorflow失败吗？有什么解决的方案吗？

thanks from Huster

[HiKapok]

@czy36mengfei 看一下python命令默认是哪个环境？tensorflow，TF_LIB都没找到

[czy36mengfei]

@czy36mengfei 看一下python命令默认是哪个环境？tensorflow，TF_LIB都没找到

十分感谢您的解答。我发现CMakeLists里调用的是python3.5而不是默认的python，我把它改成python就可以了。

不过在跑test_op.py测试的时候出现了新的问题： *** Begin stack trace *** tensorflow::CurrentStackTrace()

std::_Function_handler<void (long long, long long), LargeMarginSoftmaxFunctor<Eigen::ThreadPoolDevice, float>::operator()(tensorflow::OpKernelContext*, Eigen::ThreadPoolDevice const&, Eigen::TensorMap<Eigen::Tensor<float const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<int const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<int const, 1, 1, long>, 16, Eigen::MakePointer>, int, int, int, float, float, float, float, int, bool, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>)::{lambda(long, long)#1}>::_M_invoke(std::_Any_data const&, long long&&, std::_Any_data const&)
tensorflow::thread::ThreadPool::Impl::ParallelFor(long long, long long, std::function<void (long long, long long)>)
tensorflow::thread::ThreadPool::ParallelFor(long long, long long, std::function<void (long long, long long)>)
tensorflow::Shard(int, tensorflow::thread::ThreadPool*, long long, long long, std::function<void (long long, long long)>)
LargeMarginSoftmaxFunctor<Eigen::ThreadPoolDevice, float>::operator()(tensorflow::OpKernelContext*, Eigen::ThreadPoolDevice const&, Eigen::TensorMap<Eigen::Tensor<float const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<int const, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<int const, 1, 1, long>, 16, Eigen::MakePointer>, int, int, int, float, float, float, float, int, bool, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>, Eigen::TensorMap<Eigen::Tensor<float, 1, 1, long>, 16, Eigen::MakePointer>)
LargeMarginSoftmaxOp<Eigen::ThreadPoolDevice, float>::Compute(tensorflow::OpKernelContext*)
tensorflow::ThreadPoolDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*)


Eigen::NonBlockingThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int)
std::_Function_handler<void (), tensorflow::thread::EigenEnvironment::CreateThread(std::function<void ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&)


clone

*** End stack trace *** 已放弃 (核心已转储)

里面没有具体的错误信息，所以不知道是什么问题，望解答。