DenseExactLogJob.cpp

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/*
 * 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 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2013 Soumyajit De
 */

#include <shogun/lib/config.h>

#include <shogun/lib/SGVector.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/lib/computation/jobresult/ScalarResult.h>
#include <shogun/mathematics/eigen3.h>
#include <shogun/mathematics/linalg/linop/DenseMatrixOperator.h>
#include <shogun/mathematics/linalg/ratapprox/logdet/computation/job/DenseExactLogJob.h>

using namespace Eigen;

namespace shogun
{

CDenseExactLogJob::CDenseExactLogJob()
    : CIndependentJob()
{
    init();

    SG_GCDEBUG("%s created (%p)\n", this->get_name(), this)
}

CDenseExactLogJob::CDenseExactLogJob(CJobResultAggregator* aggregator,
    CDenseMatrixOperator<float64_t>* log_operator,
    SGVector<float64_t> vector)
    : CIndependentJob(aggregator)
{
    init();

    m_log_operator=log_operator;
    SG_REF(m_log_operator);

    m_vector=vector;

    SG_GCDEBUG("%s created (%p)\n", this->get_name(), this)
}

void CDenseExactLogJob::init()
{
    m_log_operator=NULL;

    SG_ADD((CSGObject**)&m_log_operator, "log_operator",
        "Log of linear operator", MS_NOT_AVAILABLE);

    SG_ADD(&m_vector, "trace_sample",
        "Sample vector to apply linear operator on", MS_NOT_AVAILABLE);
}

CDenseExactLogJob::~CDenseExactLogJob()
{
    SG_UNREF(m_log_operator);

    SG_GCDEBUG("%s destroyed (%p)\n", this->get_name(), this)
}

void CDenseExactLogJob::compute()
{
    SG_DEBUG("Entering...\n")

    REQUIRE(m_log_operator, "Log operator function is NULL\n");
    REQUIRE(m_aggregator, "Job result aggregator is NULL\n");

    // apply the log to m_vector
    SGVector<float64_t> vec=m_log_operator->apply(m_vector);

    // compute the vector-vector dot product using Eigen3
    Map<VectorXd> v(vec.vector, vec.vlen);
    Map<VectorXd> s(m_vector.vector, m_vector.vlen);

    CScalarResult<float64_t>* result=new CScalarResult<float64_t>(s.dot(v));
    SG_REF(result);

    m_aggregator->submit_result(result);
    SG_UNREF(result);

    SG_DEBUG("Leaving...\n")
}

SGVector<float64_t> CDenseExactLogJob::get_vector() const
{
    return m_vector;
}

CDenseMatrixOperator<float64_t>* CDenseExactLogJob::get_operator() const
{
    return m_log_operator;
}

}