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
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'
Last modified 9mo ago