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Build on Linux* Systems

The software was validated on:

Software Requirements

  • CMake* 3.9 or higher
  • GCC* 4.8 or higher to build the Inference Engine
  • GCC* 5.2 or higher to build the Compute Library for Deep Neural Networks (clDNN library)
  • OpenBLAS*

Build Steps

  1. Install OpenBLAS and other dependencies using the install_dependencies.sh script in the project root folder.
  2. Create a build folder:
  mkdir build
  1. Inference Engine uses a CMake-based build system. In the created build directory, run cmake to fetch project dependencies and create Unix makefiles, then run make to build the project:
  cmake -DCMAKE_BUILD_TYPE=Release ..
  make -j16

You can use the following additional build options:

  • Use BLAS_INCLUDE_DIRS and BLAS_LIBRARIES cmake options to specify path to OpenBLAS headers and library, for example use the following options on CentOS*: -DBLAS_INCLUDE_DIRS=/usr/include/openblas -DBLAS_LIBRARIES=/usr/lib64/libopenblas.so.0
  • To build clDNN from sources, please specify the -DENABLE_CLDNN_BUILD=ON option for cmake. By default pre-built version of the clDNN library is used.
  • To switch on/off the CPU and GPU plugins, use cmake options -DENABLE_MKL_DNN=ON/OFF and -DENABLE_CLDNN=ON/OFF.

Build on Windows* Systems:

The software was validated on:

Software Requirements

Build Steps

  1. Download and install Intel® C++ Compiler 18.0
  2. Install OpenBLAS:
    1. Download OpenBLAS*
    2. Unzip the downloaded package to a directory on your machine. In this document, this directory is referred to as <OPENBLAS_DIR>.
  3. Create build directory:
    mkdir build
  4. In the build directory, run cmake to fetch project dependencies and generate a Visual Studio solution:
cd build
cmake -G "Visual Studio 15 2017 Win64" -T "Intel C++ Compiler 18.0" -DOS_FOLDER=ON ^
    -DBLAS_INCLUDE_DIRS=<OPENBLAS_DIR>\include ^
    -DBLAS_LIBRARIES=<OPENBLAS_DIR>\lib\libopenblas.dll.a ^
    -DCMAKE_BUILD_TYPE=Release ^
    -DICCLIB="C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018\windows\compiler\lib" ..
  1. Build generated solution in Visual Studio 2017 or run cmake --build . to build from the command line.

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