#!/usr/bin/env bash
######################################################################
# This script installs MXNet for Python along with all required dependencies on a Fedora Machine.
# Tested on Fedora 21.0 + distro.
######################################################################
set -e

MXNET_HOME="$HOME/mxnet/"
echo "MXNet root folder: $MXNET_HOME"

echo "Installing basic development tools, atlas, opencv, pip, graphviz ..."
sudo yum update
sudo yum groupinstall -y "Development Tools" "Development Libraries"
sudo yum install -y atlas atlas-devel opencv opencv-devel graphviz graphviz-devel

echo "Building MXNet core. This can take few minutes..."
cd "$MXNET_HOME"
make -j$(nproc)

echo "Installing Numpy..."
sudo yum install numpy

echo "Installing Python setuptools..."
sudo yum install -y python-setuptools python-pip

echo "Adding MXNet path to your ~/.bashrc file"         
echo "export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH" >> ~/.bashrc
source ~/.bashrc

echo "Install Graphviz for plotting MXNet network graph..."
sudo pip install graphviz

echo "Installing Jupyter notebook..."
sudo pip install jupyter

echo "Done! MXNet for Python installation is complete. Go ahead and explore MXNet with Python :-)"

>>> import mxnet as mx
>>> 

則 vim /etc/ld.so.conf
加入：/usr/local/lib
執(zhí)行 ldconfig

sed -i -e 's/libavformat\.a/libavformat.so/g'       -e 's/libavutil\.a/libavutil.so/g'       -e 's/libswscale\.a/libswscale.so/g'       -e 's/libavresample\.a/libavresample.so/g'       -e 's/libavcodec\.a/libavcodec.so/g'       cmake/OpenCVFindLibsVideo.cmake

cmake -D BUILD_opencv_gpu=OFF -D WITH_EIGEN=ON -D WITH_TBB=ON -D WITH_CUDA=OFF -D WITH_TIFF=OFF -DWITH_IPP=OFF -D WITH_1394=OFF -D CMAKE_BUILD_TYPE=RELEASE -DWITH_FFMPEG=ON -DWITH_GSTREAMER=OFF -D CMAKE_INSTALL_PREFIX=/usr/local
 ..
sudo make PREFIX=/usr/local install

#!/usr/bin/env bash
######################################################################
# This script installs MXNet for R along with all required dependencies on a Ubuntu Machine.
# We recommend to install Microsoft RServer together with Intel MKL library for optimal performance
# More information can be found here:
# https://blogs.technet.microsoft.com/machinelearning/2016/09/15/building-deep-neural-networks-in-the-cloud-with-azure-gpu-vms-mxnet-and-microsoft-r-server/
# Tested on Ubuntu 14.04+ distro.
######################################################################
set -e

MXNET_HOME="$HOME/mxnet/"
echo "MXNet root folder: $MXNET_HOME"

echo "Building MXNet core. This can take few minutes..."
cd "$MXNET_HOME"
make -j$(nproc)

echo "Installing R dependencies. This can take few minutes..."

# make sure we have essential tools installed
is_rscript_installed=$(which Rscript | wc -l)
if [ "$is_rscript_installed" = "0" ]; then
        read -p "Seems like Rscript is not installed. Install Rscript? [Y/n]"
        if [ x"$REPLY" = x"" -o x"$REPLY" = x"y" -o x"$REPLY" = x"Y" ]; then
                sudo apt-get install -y r-base-core
        fi
fi

# libcurl4-openssl-dev and libssl-dev are needed for devtools.
sudo apt-get -y install libcurl4-openssl-dev libssl-dev

# Needed for R XML
sudo apt-get install libxml2-dev

sudo Rscript -e "install.packages('devtools', repo = 'https://cran.')"
cd R-package
sudo Rscript -e "library(devtools); library(methods); options(repos=c(CRAN='https://cran.')); install_deps(dependencies = TRUE)"
cd ..

echo "Compiling R package. This can take few minutes..."
sudo make rpkg

echo "Installing R package..."
sudo R CMD INSTALL mxnet_current_r.tar.gz

echo "Done! MXNet for R installation is complete. Go ahead and explore MXNet with R :-)"

> library(mxnet)
Init Rcpp> 
> 
> a <- mx.nd.ones(c(2,3))
> a
     [,1] [,2] [,3]
[1,]    1    1    1
[2,]    1    1    1