cmakeblasopenblasxtensor

Cannot use xtensor-blas on Windows

Disclaimer: I'm a noob at building/make/packages/cmake.
My goal: Use xtensor-blas library in C++
My env: Win10 x64, CLion2021
My problem: Can't get the simplest examples to compile. Sth about project dependencies.
I tried:
1) downloading and compiling openBLAST manually using every tutorial I could google - always stopped at different problems. Either I don't have "nmake" or build failed for some reason, or I get "undefined reference" etc. - I've been overwhelmed for a couple of days. A step-by-step walkthrough would be appreciated.
2) the closest I got was using anaconda conda install -c conda-forge openblas, then copy-pasting "include" directories from xtl,xtensor,xtensor-blas to my project. My CMakeLists.txt:

cmake_minimum_required(VERSION 3.19)
project(tstxtensor3)

set(CMAKE_CXX_STANDARD 20)

add_executable(tstxtensor3 main.cpp)

include_directories(.)

add_definitions(-DHAVE_CBLAS=1)

set(OpenBLAS_DIR c:/Users/pruglo/anaconda3/envs/evn/Library/share/cmake/OpenBLAS/)
find_package(OpenBLAS REQUIRED)

if (OpenBLAS_FOUND)
    include_directories(${OpenBLAS_INCLUDE_DIRS})
    target_link_libraries(tstxtensor3 c:/Users/pruglo/anaconda3/envs/evn/Library/lib/openblas.lib ${OpenBLAS_LIBRARY})
else ()
    message("OpenBLAS NOT FOUND!")
endif ()

Cmake loads successfuly, and OpenBLAS_FOUND is true. But when I compile my cpp, I get error while loading shared libraries: openblas.dll: cannot open shared object file: No such file or directory Process finished with exit code 127
Note: OpenBLAS_INCLUDE_DIRS expands to c:/Users/pruglo/anaconda3/envs/evn/Library/include/openblas and OpenBLAS_LIBRARY expands to c:/Users/pruglo/anaconda3/envs/evn/Library/bin/openblas.dll

Extra questions:

Solution

  • Disclaimer: I'm far from a Windows expert (I just use it in Continuous Integration for testing).

    You should be able to use the target provided by xtensor-blas. So what should be possible is to do (on any platform):

    cmake_minimum_required(VERSION 3.1)

set(CMAKE_BUILD_TYPE Release)

project(myexec)
find_package(xtensor)
find_package(xtensor-blas)
add_executable(${PROJECT_NAME} main.cpp)
target_link_libraries(${PROJECT_NAME} xtensor xtensor-blas)

    Since you talk about conda, that is indeed what I find easiest and works on all platforms. I really had to do not much else than

    conda install -c conda-forge cmake xtensor xtensor-blas

    (in my loaded environment).

    There could be a pitfall here: Notice that I used CMake from conda. It might be that is it configured with the right paths for conda (but I'm not really sure to be honest).

    For completeness, I think that you can use (from your source directory, with your conda environment loaded):

    conda install -c conda-forge ninja
cmake -G "NMake Makefiles" -Bbuild
cd build
nmake

    To be stand-alone, I tested with an example from the docs:

    #include <xtensor.hpp>
#include <xtensor-blas/xlinalg.hpp>

int main()
{
    xt::xarray<double> a = {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}};
    auto d = xt::linalg::det(a);
    std::cout << d << std::endl;  // 6.661338e-16
    return 0;
}