nnfw/src/nnfwlibinitializer.cpp

/********************************************************************************
 *  Neural Network Framework.                                                   *
 *  Copyright (C) 2005-2011 Gianluca Massera <emmegian@yahoo.it>                *
 *                                                                              *
 *  This program is free software; you can redistribute it and/or modify        *
 *  it under the terms of the GNU General Public License as published by        *
 *  the Free Software Foundation; either version 2 of the License, or           *
 *  (at your option) any later version.                                         *
 *                                                                              *
 *  This program is distributed in the hope that it will be useful,             *
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of              *
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the               *
 *  GNU General Public License for more details.                                *
 *                                                                              *
 *  You should have received a copy of the GNU General Public License           *
 *  along with this program; if not, write to the Free Software                 *
 *  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA  *
 ********************************************************************************/

#include "nnfwconfig.h"
#include "simplecluster.h"
#include "biasedcluster.h"
#include "ddecluster.h"
#include "fakecluster.h"
#include "copylinker.h"
#include "dotlinker.h"
#include "normlinker.h"
#include "liboutputfunctions.h"
#include "libperiodicfunctions.h"
#include "libradialfunctions.h"
#include "libcompetitivefunctions.h"
#include "learningalgorithm.h"
#include "backpropagationalgo.h"
#include "factory.h"
#include "logger.h"

#include <QStringList>
#include <QDebug>

namespace farsa {

bool FARSA_NNFW_API initNNFWLib() {
    static bool dummy = false;
    if ( dummy ) return true;
    // Registering all types to factory
    Factory::getInstance().registerClass<NeuralNet>("NeuralNet", "ParameterSettableWithConfigureFunction");
    Factory::getInstance().registerClass<Pattern>("Pattern", "ParameterSettableWithConfigureFunction");
    Factory::getInstance().registerClass<LearningAlgorithm>("LearningAlgorithm", "ParameterSettableWithConfigureFunction");
    Factory::getInstance().registerClass<BackPropagationAlgo>("BackPropagationAlgo", "LearningAlgorithm");
    // Clusters
    Factory::getInstance().registerClass<Updatable>("Updatable", "ParameterSettableInConstructor");
    Factory::getInstance().registerClass<Cluster>("Cluster", "Updatable");
    Factory::getInstance().registerClass<SimpleCluster>("SimpleCluster", "Cluster");
    Factory::getInstance().registerClass<BiasedCluster>("BiasedCluster", "Cluster");
    Factory::getInstance().registerClass<DDECluster>("DDECluster", "Cluster");
    Factory::getInstance().registerClass<FakeCluster>("FakeCluster", "Cluster");

    // Linkers
    Factory::getInstance().registerClass<Linker>("Linker", "Updatable");
    Factory::getInstance().registerClass<CopyLinker>("CopyLinker", "Linker");
    Factory::getInstance().registerClass<MatrixLinker>("MatrixLinker", "Linker");
    Factory::getInstance().registerClass<DotLinker>("DotLinker", "MatrixLinker");
    Factory::getInstance().registerClass<NormLinker>("NormLinker", "MatrixLinker");

    // Output Functions
    Factory::getInstance().registerClass<OutputFunction>("OutputFunction", "ParameterSettableWithConfigureFunction");
    
    Factory::getInstance().registerClass<FakeSigmoidFunction>("FakeSigmoidFunction", "OutputFunction");
    Factory::getInstance().registerClass<IdentityFunction>("IdentityFunction", "OutputFunction");
    Factory::getInstance().registerClass<GainFunction>("GainFunction", "OutputFunction");
    Factory::getInstance().registerClass<LinearFunction>("LinearFunction", "OutputFunction");
    Factory::getInstance().registerClass<RampFunction>("RampFunction", "OutputFunction");
    Factory::getInstance().registerClass<ScaleFunction>("ScaleFunction", "OutputFunction");
    Factory::getInstance().registerClass<ScaledSigmoidFunction>("ScaledSigmoidFunction", "OutputFunction");
    Factory::getInstance().registerClass<SigmoidFunction>("SigmoidFunction", "OutputFunction");
    Factory::getInstance().registerClass<StepFunction>("StepFunction", "OutputFunction");
    Factory::getInstance().registerClass<LeakyIntegratorFunction>("LeakyIntegratorFunction", "OutputFunction");
    Factory::getInstance().registerClass<LogLikeFunction>("LogLikeFunction", "OutputFunction");
    Factory::getInstance().registerClass<CompositeFunction>("CompositeFunction", "OutputFunction");
    Factory::getInstance().registerClass<LinearComboFunction>("LinearComboFunction", "OutputFunction");
    Factory::getInstance().registerClass<GaussFunction>("GaussFunction", "OutputFunction");
    Factory::getInstance().registerClass<PeriodicFunction>("PeriodicFunction", "OutputFunction");
    Factory::getInstance().registerClass<PseudoGaussFunction>("PseudoGaussFunction", "PeriodicFunction");
    Factory::getInstance().registerClass<SawtoothFunction>("SawtoothFunction", "PeriodicFunction");
    Factory::getInstance().registerClass<SinFunction>("SinFunction", "PeriodicFunction");
    Factory::getInstance().registerClass<TriangleFunction>("TriangleFunction", "PeriodicFunction");
    Factory::getInstance().registerClass<WinnerTakeAllFunction>("WinnerTakeAllFunction", "OutputFunction");
    dummy = true;
    Logger::info( "Library NNFW Initialized" );
    return true;
}

}