libGroomRL

This repository contains a C++ library to load models from arXiv:1903.09644.

About

libGroomRL is a C++ library allowing an easy access in C++ to grooming strategies based on neural network models trained by GroomRL.

Installation

libGroomRL is tested and supported on 64-bit systems running Linux.

In order to install proceed with the usual cmake steps:

mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX=<your install prefix>
make
make install

We provide the cmake options -DENABLE_WRAPPERONLY=ON/OFF in order to compile a light wrapper libgroomrl-fastjet which only includes a wrapper for the python call evaluating the neural network output.

We recommend the installation of the libGroomRL package using a miniconda3 environment with the configuration specified here.

libGroomRL requires the following packages:

• python3
• numpy
• fastjet
• cffi
• keras
• tensorflow
• json

Usage

The compiler flags to include this library in your package can be retreived with:

pkg-config groomrl --cflags
pkg-config groomrl --libs

Sample programs using this library are provided in the examples/ directory.