nlu setup

using automated script

In the source of the NLP repository there is an automated script for installing (nlu_setup.sh).

    source $ROS_WORKSPACE/mbot_natural_language_processing/repository.debs

In case that does not work for you, below you can consult manual installation instructions.

manual NLU installation instructions (deprecated)

WARNING: https://bazel.build/bazel-release.pub.gpg key is expired!! manual installation will not work... use only automated script option, see above

install tensorflow

    sudo pip install tensorflow

install syntaxnet(sentence divider)

• install bazel:

install JDK 8:

    sudo apt-get install openjdk-8-jdk

    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list

    curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -

    sudo apt-get update && sudo apt-get install bazel

    sudo apt-get upgrade bazel

• install swig:

    sudo apt-get install swig
  

• install mock:

    sudo pip install mock
  

• install asciitree:

    sudo pip install asciitree
  

• install numpy (most probably already installed):

    sudo pip install numpy
  

• install pygraphviz:

    sudo apt-get install -y graphviz libgraphviz-dev
  
    sudo pip install pygraphviz --install-option="--include-path=/usr/include/graphviz" --install-option="--library-path=/usr/lib/graphviz/"
  

• clone tensorflow models (recursive flag is needed):

    cd ~/Software && git clone --recursive https://github.com/socrob/models.git
  

configure tensorflow models:

    cd ~/Software/models/syntaxnet/tensorflow
    ./configure

use default suggested paths (hit enter twice)

answer all no's to not install unnecessary stuff

• bazel compilation - test:

    export PYTHON_LIB_PATH=/usr/lib/python2.7/dist-packages
    export PYTHON_BIN_PATH=`which python` && cd ~/Software/models/research/syntaxnet && bazel test ...
  

• install the SyntaxNet and DRAGNN Python modules:

    mkdir /tmp/syntaxnet_pkg
    bazel-bin/dragnn/tools/build_pip_package --output-dir=/tmp/syntaxnet_pkg
    sudo pip install /tmp/syntaxnet_pkg/syntaxnet-0.2-cp27-cp27mu-linux_x86_64.whl