This has been tested on Ubuntu 16.04.3 64bit and Tensorflow devel docker image tensorflow/tensorflow:nightly-devel.
To cross compiling TensorFlow Lite. First you should install the toolchain and libs.
sudo apt-get update
sudo apt-get install crossbuild-essential-armhf
If you are using docker, you may not use
sudo
Clone this Tensorflow repository, Run this script at the root of the repository to download all the dependencies:
The Tensorflow repository is in
/tensorflow
if you are usingtensorflow/tensorflow:nightly-devel
docker image, just try it.
./tensorflow/contrib/lite/download_dependencies.sh
Note than you only need to to this once.
You should then be able to compile:
./tensorflow/contrib/lite/build_rpi_lib.sh
This should compile a static library in:
tensorflow/contrib/lite/gen/lib/rpi_armv7/libtensorflow-lite.a
.
This has been tested on Raspberry Pi 3b, Raspbian GNU/Linux 9.1 (stretch), gcc version 6.3.0 20170516 (Raspbian 6.3.0-18+rpi1).
Log in to you RPI, install the toolchain.
sudo apt-get instal build-essential
First, clone this TensorFlow repository. Run this at the root of the repository:
./tensorflow/contrib/lite/download_dependencies.sh
Note than you only need to to this once.
You should then be able to compile:
./tensorflow/contrib/lite/build_rpi_lib.sh
This should compile a static library in:
tensorflow/contrib/lite/gen/lib/rpi_armv7/libtensorflow-lite.a
.