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#!/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 -eMXNET_HOME="$HOME/mxnet/"echo "MXNet root folder: $MXNET_HOME"echo "Installing basic development tools, atlas, opencv, pip, graphviz ..."sudo yum updatesudo yum groupinstall -y "Development Tools" "Development Libraries"sudo yum install -y atlas atlas-devel opencv opencv-devel graphviz graphviz-develecho "Building MXNet core. This can take few minutes..."cd "$MXNET_HOME"make -j$(nproc)echo "Installing Numpy..."sudo yum install numpyecho "Installing Python setuptools..."sudo yum install -y python-setuptools python-pipecho "Adding MXNet path to your ~/.bashrc file"         echo "export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH" >> ~/.bashrcsource ~/.bashrcecho "Install Graphviz for plotting MXNet network graph..."sudo pip install graphvizecho "Installing Jupyter notebook..."sudo pip install jupyterecho "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 -eMXNET_HOME="$HOME/mxnet/"echo "MXNet root folder: $MXNET_HOME"echo "Building MXNet core. This can take few minutes..."cd "$MXNET_HOME"make -j$(nproc)echo "Installing R dependencies. This can take few minutes..."# make sure we have essential tools installedis_rscript_installed=$(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        fifi# libcurl4-openssl-dev and libssl-dev are needed for devtools.sudo apt-get -y install libcurl4-openssl-dev libssl-dev# Needed for R XMLsudo apt-get install libxml2-devsudo Rscript -e "install.packages('devtools', repo = 'https://cran.rstudio.com')"cd R-packagesudo Rscript -e "library(devtools); library(methods); options(repos=c(CRAN='https://cran.rstudio.com')); install_deps(dependencies = TRUE)"cd ..echo "Compiling R package. This can take few minutes..."sudo make rpkgecho "Installing R package..."sudo R CMD INSTALL mxnet_current_r.tar.gzecho "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