cavis/nd4j/RaspberryPi.md

Please follow following instructions to build nd4j for raspberry PI:

1. download cross compilation tools for Raspberry PI

   $ apt-get/yum install git cmake
   (You may substitute any path you prefer instead of $HOME/raspberrypi in the following two steps)
   $ mkdir $HOME/raspberrypi
   $ export RPI_HOME=$HOME/raspberrypi
   $ cd $RPI_HOME
   $ git clone git://github.com/raspberrypi/tools.git
   $ export PATH=$PATH:$RPI_HOME/tools/arm-bcm2708/arm-rpi-4.9.3-linux-gnueabihf/bin
   

2. download deeplearning4j:

   $ cd $HOME
   $ git clone https://github.com/eclipse/deeplearning4j.git
   

3. build libnd4j:

   $ cd deeplearning4j/libnd4j
   $ ./buildnativeoperations.sh -o linux-armhf
   

4. build nd4j

   $ export LIBND4J_HOME=<pathTond4JNI>
   $ cd $HOME/deeplearning4j/nd4j
   $ mvn clean install -Djavacpp.platform=linux-armhf -Djavacpp.platform.compiler=$HOME/raspberrypi/tools/arm-bcm2708/arm-rpi-4.9.3-linux-gnueabihf/bin/arm-linux-gnueabihf-g++ -DskipTests  -Dmaven.javadoc.skip=true  -pl '!:nd4j-cuda-9.1,!:nd4j-cuda-9.1-platform,!:nd4j-tests'