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add ublas vector of vector in sparse setter bench

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Gael Guennebaud 2009-01-17 16:24:49 +00:00
parent 61b85b1436
commit 22792c696f
2 changed files with 38 additions and 5 deletions
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1
bench/BenchSparseUtil.h
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@ -100,5 +100,6 @@ void eiToCSparse(const EigenSparseMatrix& src, cs* &dst)
#include <boost/numeric/ublas/triangular.hpp>
#include <boost/numeric/ublas/vector_sparse.hpp>
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/vector_of_vector.hpp>
#endif

42
bench/sparse_setter.cpp
View File

@ -4,19 +4,22 @@
// -DNOGMM -DNOMTL -DCSPARSE
// -I /home/gael/Coding/LinearAlgebra/CSparse/Include/ /home/gael/Coding/LinearAlgebra/CSparse/Lib/libcsparse.a
#ifndef SIZE
#define SIZE 300000
#define SIZE 1000000
#endif
#ifndef NBPERROW
#define NBPERROW 12
#define NBPERROW 24
#endif
#ifndef REPEAT
#define REPEAT 1
#endif
#ifndef NOGOOGLE
#define EIGEN_GOOGLEHASH_SUPPORT
#include <google/sparse_hash_map>
#endif
#include "BenchSparseUtil.h"
@ -37,6 +40,7 @@ EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates& coords,
EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords, const Values& vals);
EIGEN_DONT_INLINE Scalar* setrand_ublas_coord(const Coordinates& coords, const Values& vals);
EIGEN_DONT_INLINE Scalar* setrand_ublas_compressed(const Coordinates& coords, const Values& vals);
EIGEN_DONT_INLINE Scalar* setrand_ublas_genvec(const Coordinates& coords, const Values& vals);
EIGEN_DONT_INLINE Scalar* setrand_mtl(const Coordinates& coords, const Values& vals);
int main(int argc, char *argv[])
@ -74,8 +78,9 @@ int main(int argc, char *argv[])
for (int k=0; k<REPEAT; ++k)
setrand_eigen_gnu_hash(coords,values);
timer.stop();
std::cout << "Eigen gnu hashmap\t" << timer.value() << "\n";
std::cout << "Eigen std::map\t" << timer.value() << "\n";
}
#ifndef NOGOOGLE
{
timer.reset();
timer.start();
@ -92,6 +97,7 @@ int main(int argc, char *argv[])
timer.stop();
std::cout << "Eigen google sparse\t" << timer.value() << "\n";
}
#endif
#ifndef NOUBLAS
{
@ -103,6 +109,14 @@ int main(int argc, char *argv[])
std::cout << "ublas mapped\t" << timer.value() << "\n";
}
{
timer.reset();
timer.start();
for (int k=0; k<REPEAT; ++k)
setrand_ublas_genvec(coords,values);
timer.stop();
std::cout << "ublas vecofvec\t" << timer.value() << "\n";
}
/*{
timer.reset();
timer.start();
for (int k=0; k<REPEAT; ++k)
@ -117,7 +131,7 @@ int main(int argc, char *argv[])
setrand_ublas_coord(coords,values);
timer.stop();
std::cout << "ublas coord\t" << timer.value() << "\n";
}
}*/
#endif
@ -151,6 +165,7 @@ EIGEN_DONT_INLINE Scalar* setrand_eigen_gnu_hash(const Coordinates& coords, cons
return 0;//&mat.coeffRef(coords[0].x(), coords[0].y());
}
#ifndef NOGOOGLE
EIGEN_DONT_INLINE Scalar* setrand_eigen_google_dense(const Coordinates& coords, const Values& vals)
{
using namespace Eigen;
@ -176,6 +191,8 @@ EIGEN_DONT_INLINE Scalar* setrand_eigen_google_sparse(const Coordinates& coords,
}
return 0;//&mat.coeffRef(coords[0].x(), coords[0].y());
}
#endif
#ifndef NOUBLAS
EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords, const Values& vals)
{
@ -191,7 +208,7 @@ EIGEN_DONT_INLINE Scalar* setrand_ublas_mapped(const Coordinates& coords, const
compressed_matrix<Scalar> mat(aux);
return 0;// &mat(coords[0].x(), coords[0].y());
}
EIGEN_DONT_INLINE Scalar* setrand_ublas_coord(const Coordinates& coords, const Values& vals)
/*EIGEN_DONT_INLINE Scalar* setrand_ublas_coord(const Coordinates& coords, const Values& vals)
{
using namespace boost;
using namespace boost::numeric;
@ -215,6 +232,21 @@ EIGEN_DONT_INLINE Scalar* setrand_ublas_compressed(const Coordinates& coords, co
mat(coords[i].x(), coords[i].y()) = vals[i];
}
return 0;//&mat(coords[0].x(), coords[0].y());
}*/
EIGEN_DONT_INLINE Scalar* setrand_ublas_genvec(const Coordinates& coords, const Values& vals)
{
using namespace boost;
using namespace boost::numeric;
using namespace boost::numeric::ublas;
// ublas::vector<coordinate_vector<Scalar> > foo;
generalized_vector_of_vector<Scalar, row_major, ublas::vector<coordinate_vector<Scalar> > > aux(SIZE,SIZE);
for (int i=0; i<coords.size(); ++i)
{
aux(coords[i].x(), coords[i].y()) = vals[i];
}
compressed_matrix<Scalar,row_major> mat(aux);
return 0;//&mat(coords[0].x(), coords[0].y());
}
#endif