Setup and download libraries
First, you need to create a new directory on your platform or board that you will use for building Arm NN for TensorFlow Lite.
Open a new terminal session and enter these commands on the command line to create a new directory called
$ mkdir armnn-tflite && cd armnn-tflite $ export BASEDIR=`pwd`
Some of the example commands that we use in this guide expect that the
$BASEDIR environment variable is set correctly. So, if you use multiple terminal sessions then ensure that the variable is set correctly in each session.
Next, use these commands to download the required Git repositories and source bundles.
$ git clone https://github.com/Arm-software/ComputeLibrary.git $ git clone https://github.com/Arm-software/armnn $ wget https://dl.bintray.com/boostorg/release/1.64.0/source/boost_1_64_0.tar.bz2 $ tar xf boost_1_64_0.tar.bz2 $ git clone -b v3.5.2 https://github.com/google/protobuf.git $ git clone https://github.com/tensorflow/tensorflow.git cd tensorflow/ $ wget -O flatbuffers-1.12.0.tar.gz https://github.com/google/flatbuffers/archive/v1.12.0.tar.gz $ tar xf flatbuffers-1.12.0.tar.gz