Installing MXNet on CentOS and other non-Ubuntu Linux systems¶

Step 1. Install build tools and git on CentOS >= 7 and Fedora >= 19:

sudo yum groupinstall -y "Development Tools" && sudo yum install -y git

Step 2. Install Atlas:

sudo yum install atlas-devel

Installing both git and cmake or make by following instructions on the websites is straightforward. Here we provide the instructions to build gcc-4.8 from source codes.

Step 3. Install the 32-bit libc with one of the following system-specific commands:

sudo apt-get install libc6-dev-i386 # In Ubuntu
sudo yum install glibc-devel.i686   # In RHEL (Red Hat Linux)
sudo yum install glibc-devel.i386   # In CentOS 5.8
sudo yum install glibc-devel.i686   # In CentOS 6/7

Step 4. Download and extract the gcc source code with the prerequisites:

wget http://mirrors.concertpass.com/gcc/releases/gcc-4.8.5/gcc-4.8.5.tar.gz
tar -zxf gcc-4.8.5.tar.gz
cd gcc-4.8.5
./contrib/download_prerequisites

Step 5. Build gcc by using 10 threads and then install to /usr/local

mkdir release && cd release
../configure --prefix=/usr/local --enable-languages=c,c++
make -j10
sudo make install

Step 6. Add the lib path to your configure file such as ~/.bashrc:

export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib64

Step 7. Build OpenBLAS from source.

Step 8. Build OpenCV

To build OpenCV from source code, you need the cmake library.

If you don’t have cmake or if your version of cmake is earlier than 3.6.1, run the following commands to install a newer version of cmake:

wget https://cmake.org/files/v3.6/cmake-3.6.1-Linux-x86_64.tar.gz
tar -zxvf cmake-3.6.1-Linux-x86_64.tar.gz
alias cmake="cmake-3.6.1-Linux-x86_64/bin/cmake"

To download and extract the OpenCV source code, run the following commands:

wget https://codeload.github.com/opencv/opencv/zip/2.4.13
unzip 2.4.13
cd opencv-2.4.13
mkdir release
cd release/

Build OpenCV. The following commands build OpenCV with 10 threads. We disabled GPU support, which might significantly slow down an MXNet program running on a GPU processor. It also disables 1394 which might generate a warning. Then install it on /usr/local.

cmake -D BUILD_opencv_gpu=OFF -D WITH_CUDA=OFF -D WITH_1394=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j10
sudo make install

Add the lib path to your configuration such as ~/.bashrc.

export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig/