I'm trying to use tensorflow as a external library in my C++ application (mainly following this tutorial). What I done so far:
- I have cloned the tensorflow reporitory (let's say, that the repo root dir is
$TENSORFLOW)
- Run
/.configure (which all settings default, so no CUDA, no OpenCL etc.).
- Build shared library with
bazel build -c /opt //tensorflow:libtensorflow_cc.so (build completed successfully)
Now I'm trying to #include "tensorflow/core/public/session.h". But after including it (and adding $TENSORFLOW and $TENSORFLOW/bazel-genfiles to include path), I'm receiving error:
$TENSORFLOW/tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:42:
fatal error: unsupported/Eigen/CXX11/Tensor: No such file or directory
There is a github issue created for similar problem, but it's marked as closed without any solution provided. Also I tried with master branch as well as v.1.4.0 release.
Do you happen to know, what could cause this kind of problem and how to deal with it?
I (and many others) agonized over the same problem. It probably can be solved using bazel but I don't know that tool well enough and now I solve this using make. The source of confusion is that a file named Tensor is included and it itself includes a file named Tensor, which has caused some people to wrongly conclude Tensor is including itself.
If you built and installed the python .whl file there will be a tensorflow directory in dist-packages and an include directory below that, e.g. on my system:
/usr/local/lib/python2.7/dist-packages/tensorflow/include
From the include directory
find . -type f -name 'Tensor' -print
./third_party/eigen3/unsupported/Eigen/CXX11/Tensor
./external/eigen_archive/unsupported/Eigen/CXX11/Tensor
The first one has
#include "unsupported/Eigen/CXX11/Tensor"
and the file that should satisfy this is the second one.
So to compile session.cc that includes session.h, the following will work
INC_TENS1=/usr/local/lib/python2.7/dist-packages/tensorflow/include/
INC_TENS2=${INC_TENS1}external/eigen_archive/
gcc -c -std=c++11 -I $INC_TENS1 -I $INC_TENS2 session.cc
I've seen claims that you must build apps from the tensorflow tree and you must use bazel. However, I believe all the header files you need are in dist-packages/tensorflow/include and at least for starters you can construct makefile or cmake projects.
the problem was actually in the relative path of the header file taken in the Tensor file.
installed path for Tensor is /usr/include/eigen3/unsupported/Eigen/CXX11/Tensor
but mentioned in the Tensor file is "unsupported/Eigen/CXX11/Tensor"
So there should be an entry upto /usr/include/eigen3/ in the project path to run this correctly so that it can be used.
