Is it possible to compile a program using the AWS SDK C++ with CPP_FLAGS instead of using cmake?
In my case, I only want to add the aws-cpp-sdk-s3 libraries to my program.
It is difficult to build the SDK without CMake, but once it is built you can use whatever build system you would like to use. All you need is the path to the header files, the libraries, and the cflags that were used to build the library.
Related
I have a custom build cmake v3.10.0 which was compiled with a gcc_4.8.3. I am using this custom build cmake to compile a cmake project that must use gcc _4.1.2 because of legacy code.
Executing cmake promted me with an error because it needs to use the libstdc++-IFX.so.6 provided by gcc_4.8.3 which I fixed by adding the path to the correct library in my LD_LIBRARY_PATH before the path to the libraries provided by gcc_4.1.2.
Compiling my project and linking an executable (which is done by c++) results in the linker taking the gcc_4.8.3 stdlibs over the gcc_4.1.2 libs. Is there any way to tell cmake to not use the libraries it needs for himself for my cmake project preferably without touching LD_LIBRARY_PATH?
Edits:
#squareskittles comment: I did read and try everything this post suggest but without any changes. The libstdc++-IFX.so.6 is still taken from gcc_4.8.3
I am trying to include, the boost::filesystem library into a project.
The project has to run on different architectures, so I don't want to link to the boost libraries installed on my ubuntu machine.
Most of boost is header only, so I would just have to include it and not worry about building it. But the filesystem library is NOT header only and I have to build the binaries for it.
Doing that would be easy, just pass in the header using the -I flag, and during the linking state, pass in the location to search for the binary using -L and specify the library using -l.
But I don't want to use the system headers and binaries.
So I am keeping a copy of the boost::filesystem headers within my project, using the bcp tool that boost provides.
I am able to do this, and I have a subdirectory lib/fs/boost/filesystem.
When I try to build a cpp file, dependent on filesystem, the compiler is able to find the headers and everything works.
But during the linking state. It cannot find the binary and the build fails.
So how do I build the boost::filesystem ?
1) I found the bootstrap.sh and b2 way to do it. I am not sure how to use it with the bcp tool though. I was building the library from the boost root.
But a disadvantage this this approach, is that I am complicating things. Before running my makefile, I will have to run bootstrap and b2 to get the binaries. It doesn't seem clean and I would like to avoid this.
2) Is there a makefile rule that I can use to build the boost::filesystem. The project is build using a makefile, and if I could specify a rule to build the filesystem, and then link the resulting binaries, it would be great.
I searched online and I couldn't find a makefile to build a boost library. Can you point me at where I could find such a makefile ?
The question is verbose, but I am just doing it to make sure I am not making any wrong assumptions.
Thanks a lot.
I trying to build Tensorflow r1.0 for c++
I was able to compile the libtensorflow.so but not all the headers generated.
All the ops headers missing except from standard_ops.h and const_ops.h which include in them all the ops headers that missing.
Im using Ubuntu 16.04.
Code for most ops is generated during the build. When using bazel, you should fine the generated header files in: bazel-genfiles/tensorflow/cc/ops, e.g., bazel-genfiles/tensorflow/cc/ops/math_ops.h.
Hope that helps.
If you don't mind using CMake, you can use tensorflow_cc project. It builds and installs TF C++ API for you, along with convenient CMake targets you can link against.
I've been developing c++ project using a Tensorflow c++ api. it just execute created tensorflow's graph from Python. I build it using bazel with Tensorflow code now. But I think it's inefficient way.
I want just Tensorflow library and header files, and Just compile my project only using Cmake.
I know how to build shared library.
bazel build -c opt --config=cuda //tensorflow:libtensorflow.so but this command just make a libtensorflow.so file. I can't find header files for build my project.
Is there way to package tensorflow library for c++? such as mvn package command.
As far as I know, there is no official distributable C++ API package. There is, however, tensorflow_cc project that builds and installs TF C++ API for you, along with convenient CMake targets you can link against. According to your description, that may be just what you need.
If your operating system is Debian or Ubuntu, you can download unofficial prebuilt packages with the Tensorflow C/C++ libraries. This distribution can be used for C/C++ inference with CPU, GPU support is not included:
https://github.com/kecsap/tensorflow_cpp_packaging/releases
There are instructions written how to freeze a checkpoint in Tensorflow (TFLearn) and load this model for inference with the C/C++ API:
https://github.com/kecsap/tensorflow_cpp_packaging/blob/master/README.md
Beware: I am the developer of this Github project.
As Floop already mentioned, his tensorflow_cc project is also a good alternative without packaging, especially if you want GPU support for the inference.
You can build tensorflow with CMake. This also creates a TensorflowConfig.cmake, which you can integrate in your project
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/cmake
Little hint: You have to build the shared lib, even if you do not need it.
You have two option: static linking and dynamic linking.
If you want to dynamic link your c++ project to TensorFlow, all you need is a --whole-archive linker flag. The necessary header files are provided by a pip install.
Generating the library is basically
bazel build -c opt --copt=-mfpmath=both --config=cuda //tensorflow:libtensorflow.so
bazel build -c opt --copt=-mfpmath=both --config=cuda //tensorflow:libtensorflow_cc.so
Having everything in place it is easy to run a TensorFlow graph in C, C++, Go (GitHub project). See the linked project for these working examples in C, C++, Go.
When building against the shared library, the headers I use are in $PROJECT_HOME/bazel-genfiles.
Adding $PROJECT_HOME/bazel-genfiles to the linker header list should be enough.
It seems that most users will just use a pre build version of boost in combination with find_package.
I always download my 3rd party dependencies via git and integrate them in cmake. This was usually not a problem because all my libraries were either using cmake or were just header only libraries.
How would I integrate boost log into my cmake build system? Do I need to treat it as if I had written it myself and compile it manually by including every .h and .cpp files and build it as a shared library?
Or is there a more simple way, for example reusing the .jam file in cmake?