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INSTALL.md

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Installation from Sources

Required Software:

Installation Steps

  1. Clone the sources from GitHub* as follows:

     git clone https://github.com/intel/daal.git

  2. Set the PATH environment variable to the MSYS2* bin directory (Windows* only). For example:

     set PATH=C:\msys64\usr\bin;%PATH%

  3. Set the environment variables for one of the supported C/C++ compilers. For example:

    • Microsoft Visual Studio* 2019:

        call "C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\VC\Auxiliary\Build\vcvarsall.bat" amd64

    • Intel(R) C++ Compiler 19.1 (Windows*):

        call "C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\bin\compilervars.bat" intel64

    • Intel(R) C++ Compiler 19.1 (Linux*):

        source /opt/intel/compilers_and_libraries/linux/bin/compilervars.sh intel64

    • Intel(R) oneAPI DPC++ Compiler 2021.1-beta03 (Windows*):

        call "C:\Program Files (x86)\inteloneapi\compiler\latest\env\vars.bat" intel64

  4. Set the environment variables for one of the supported Java* compilers. For example:

    • Windows*:

        set JAVA_HOME=C:\Program Files\Java\jdk1.8.0_77
  set PATH=%JAVA_HOME%\bin;%PATH%
  set INCLUDE=%JAVA_HOME%\include;%JAVA_HOME%\include\win32;%INCLUDE%

    • Linux*:

        export JAVA_HOME=/usr/jdk/jdk1.6.0_02
  export PATH=$JAVA_HOME/bin:$PATH
  export CPATH=$JAVA_HOME/include:$JAVA_HOME/include/linux:$CPATH

  5. Download and set an environment for mklfpk libs:

    • Windows*:

        .\scripts\mklfpk.bat

    • Linux*:

        ./scripts/mklfpk.sh

  6. Download and install Intel(R) Threading Building Blocks (Intel(R) TBB):

    Download and install free Community License Intel(R) TBB (see Get Intel(R) Performance Libraries for Free). Set the environment variables for for Intel(R) TBB. For example:

    • oneTBB (Windows*):

        call "C:\Program Files (x86)\inteloneapi\tbb\latest\env\vars.bat" intel64

    • Intel(R) TBB 2020 (Linux*):

        source /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/bin/tbbvars.sh intel64

    Alternatively, you can use scripts to do this for you (Linux*):

         ./scripts/tbb.sh

  7. Downloan and install Python 3.7 (Windows* only).

  8. Build oneDAL via command-line interface. Choose the appropriate commands based on the platform and the compiler you use:

    • on Linux* using Intel(R) C++ Compiler:

        make -f makefile daal PLAT=lnx32e

    • on Linux* using GNU Compiler Collection*:

        make -f makefile daal PLAT=lnx32e COMPILER=gnu

    • on Windows* using Intel(R) C++ Compiler:

        make -f makefile daal PLAT=win32e

    • on Windows* using Microsoft Visual* C++ Compiler:

        make -f makefile daal PLAT=win32e COMPILER=vc

It is possible to build oneDAL libraries with selected set of algorithms and/or CPU optimizations. CORE.ALGORITHMS.CUSTOM and REQCPUS makefile defines are used for it.

  • To build oneDAL with Linear Regression and Support Vector Machine algorithms, run:

          make -f makefile daal PLAT=win32e CORE.ALGORITHMS.CUSTOM="linear_regression svm" -j16

  • To build oneDAL with AVX2 and AVX CPU optimizations, run:

          make -f makefile daal PLAT=win32e REQCPU="avx2 avx" -j16

  • To build oneDAL with Moments of Low Order algorithm and AVX2 CPU optimizations, run:

          make -f makefile daal PLAT=win32e CORE.ALGORITHMS.CUSTOM=low_order_moments REQCPU=avx2 -j16

NOTE: Built libraries are located in the __release_{os_name}/daal directory.