sparse_transpose.cpp File Reference

#include "BenchSparseUtil.h"

Macros
#define	SIZE   10000
#define	DENSITY   0.01
#define	REPEAT   1
#define	MINDENSITY   0.0004
#define	NBTRIES   10
#define	BENCH(X)

Functions
int	main (int argc, char *argv[])

Macro Definition Documentation

BENCH

#define BENCH

(

X

)

Value:

  timer.reset();                          \
  for (int _j = 0; _j < NBTRIES; ++_j) {  \
    timer.start();                        \
    for (int _k = 0; _k < REPEAT; ++_k) { \
      X                                   \
    }                                     \
    timer.stop();                         \
  }

DENSITY

#define DENSITY   0.01

MINDENSITY

#define MINDENSITY   0.0004

NBTRIES

#define NBTRIES   10

REPEAT

#define REPEAT   1

SIZE

#define SIZE   10000

Function Documentation

main()

int main	(	int argc	,
		char *	argv[]
	)

                                 {
  int rows = SIZE;
  int cols = SIZE;
  float density = DENSITY;
 
  EigenSparseMatrix sm1(rows, cols), sm3(rows, cols);
 
  BenchTimer timer;
  for (float density = DENSITY; density >= MINDENSITY; density *= 0.5) {
    fillMatrix(density, rows, cols, sm1);
 
// dense matrices
#ifdef DENSEMATRIX
    {
      DenseMatrix m1(rows, cols), m3(rows, cols);
      eiToDense(sm1, m1);
      BENCH(for (int k = 0; k < REPEAT; ++k) m3 = m1.transpose();)
      std::cout << "  Eigen dense:\t" << timer.value() << endl;
    }
#endif
 
    std::cout << "Non zeros: " << sm1.nonZeros() / float(sm1.rows() * sm1.cols()) * 100 << "%\n";
 
    // eigen sparse matrices
    {
      BENCH(for (int k = 0; k < REPEAT; ++k) sm3 = sm1.transpose();)
      std::cout << "  Eigen:\t" << timer.value() << endl;
    }
 
// CSparse
#ifdef CSPARSE
    {
      cs *m1, *m3;
      eiToCSparse(sm1, m1);
 
      BENCH(for (int k = 0; k < REPEAT; ++k) {
        m3 = cs_transpose(m1, 1);
        cs_spfree(m3);
      })
      std::cout << "  CSparse:\t" << timer.value() << endl;
    }
#endif
 
// GMM++
#ifndef NOGMM
    {
      GmmDynSparse gmmT3(rows, cols);
      GmmSparse m1(rows, cols), m3(rows, cols);
      eiToGmm(sm1, m1);
      BENCH(for (int k = 0; k < REPEAT; ++k) gmm::copy(gmm::transposed(m1), m3);)
      std::cout << "  GMM:\t\t" << timer.value() << endl;
    }
#endif
 
// MTL4
#ifndef NOMTL
    {
      MtlSparse m1(rows, cols), m3(rows, cols);
      eiToMtl(sm1, m1);
      BENCH(for (int k = 0; k < REPEAT; ++k) m3 = trans(m1);)
      std::cout << "  MTL4:\t\t" << timer.value() << endl;
    }
#endif
 
    std::cout << "\n\n";
  }
 
  return 0;
}

References BENCH, cols, copy(), UniformPSDSelfTest::density, DENSITY, eiToDense(), eiToGmm(), eiToMtl(), fillMatrix(), k, m1, MINDENSITY, REPEAT, rows, SIZE, trans, and Eigen::SparseMatrixBase< Derived >::transpose().