Cross-compiling Arm NN for the Raspberry Pi and TensorFlow

Overview Before you begin Downloading the repositories and bundles Building the Compute Library Building the Boost library for your Raspberry Pi Building the Google Protobuf library Building Arm NN Extracting Arm NN to your Raspberry Pi and running a sample program Testing your build Next steps
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Before you begin

This guide assumes:

  • You have a Raspberry Pi board. Arm has tested these instructions on a Raspberry Pi 2 Model B V1.1 that runs Raspian 9.
  • You compile on a Linux virtual machine. Arm has tested these instructions on an Ubuntu 16.04 virtual machine that runs on MacOS and Windows 10.

You must install the following software tools on your virtual machine:

Git A version control system software developers use for source code management.

Scons An open-source software construction tool.

GNU C and C++ compilers for the armhf architecture The Raspberry Pi uses the armhf Arm architecture.

Curl A tool for transferring data to or from a Linux or Unix-like server.

GNU Autoconf A tool for producing configure scripts for building, installing and packaging software.

GNU libtool A generic library support script.

CMake An open-source and cross-platform family of tools for building, testing, and packaging software.

To install the tools you require, open a command window and enter the following commands:

sudo apt-get install git
sudo apt-get install scons
sudo apt-get install gcc-arm-linux-gnueabihf
sudo apt-get install g++-arm-linux-gnueabihf 
sudo apt-get install curl 
sudo apt-get install autoconf
sudo apt-get install libtool 
sudo apt-get install cmake
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