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  1. Libnd4j
  2. How To Guides

Building for raspberry pi or Jetson Nano

bash pi_build.sh using this helper script one can cross build libnd4j and dl4j with arm COMPUTE LIBRARY . it will download cross compiler and arm compute library.

options

value

description

-a or --arch

arm32

cross compiles for pi/linux 32bit

-a or --arch

arm64

cross compiles for pi/linux 64bit

-a or --arch

android-arm

cross compiles for android 32bit

-a or --arch

android-arm64

cross compiles for android 64bit

-a or --arch

jetson-arm64

cross compiles for jetson nano 64bit

-m or --mvn

if provided will build dl4j using maven

example: bash pi_build.sh --arch android-arm64 --mvn

to change version of the arm COMPUTE LIBRARY modify this line in the script

    ARMCOMPUTE_TAG=v20.05

old one

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'
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