bench_reverse.cpp File Reference

#include <iostream>
#include <Eigen/Core>
#include <bench/BenchUtil.h>

Macros
#define	REPEAT   100000
#define	TRIES   20

Typedefs
typedef double	Scalar

Functions
template<typename MatrixType >
	__attribute__ ((noinline)) void bench_reverse(const MatrixType &m)
int	main (int argc, char *argv[])

Macro Definition Documentation

REPEAT

#define REPEAT   100000

TRIES

#define TRIES   20

Typedef Documentation

Scalar

typedef double Scalar

Function Documentation

__attribute__()

template<typename MatrixType >

__attribute__

(

(noinline)

)

const &

                                                                  {
  int rows = m.rows();
  int cols = m.cols();
  int size = m.size();
 
  int repeats = (REPEAT * 1000) / size;
  MatrixType a = MatrixType::Random(rows, cols);
  MatrixType b = MatrixType::Random(rows, cols);
 
  BenchTimer timerB, timerH, timerV;
 
  Scalar acc = 0;
  int r = internal::random<int>(0, rows - 1);
  int c = internal::random<int>(0, cols - 1);
  for (int t = 0; t < TRIES; ++t) {
    timerB.start();
    for (int k = 0; k < repeats; ++k) {
      asm("#begin foo");
      b = a.reverse();
      asm("#end foo");
      acc += b.coeff(r, c);
    }
    timerB.stop();
  }
 
  if (MatrixType::RowsAtCompileTime == Dynamic)
    std::cout << "dyn   ";
  else
    std::cout << "fixed ";
  std::cout << rows << " x " << cols << " \t" << (timerB.value() * REPEAT) / repeats << "s "
            << "(" << 1e-6 * size * repeats / timerB.value() << " MFLOPS)\t";
 
  std::cout << "\n";
  // make sure the compiler does not optimize too much
  if (acc == 123) std::cout << acc;
}

References a, b, calibrate::c, cols, Eigen::Dynamic, e(), k, m, UniformPSDSelfTest::r, REPEAT, rows, size, Eigen::BenchTimer::start(), Eigen::BenchTimer::stop(), plotPSD::t, TRIES, and Eigen::BenchTimer::value().

main()

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

                                 {
  const int dynsizes[] = {4, 6, 8, 16, 24, 32, 49, 64, 128, 256, 512, 900, 0};
  std::cout << "size            no sqrt                           standard";
  //   #ifdef BENCH_GSL
  //   std::cout << "       GSL (standard + double + ATLAS)  ";
  //   #endif
  std::cout << "\n";
  for (uint i = 0; dynsizes[i] > 0; ++i) {
    bench_reverse(Matrix<Scalar, Dynamic, Dynamic>(dynsizes[i], dynsizes[i]));
    bench_reverse(Matrix<Scalar, Dynamic, 1>(dynsizes[i] * dynsizes[i]));
  }
  //   bench_reverse(Matrix<Scalar,2,2>());
  //   bench_reverse(Matrix<Scalar,3,3>());
  //   bench_reverse(Matrix<Scalar,4,4>());
  //   bench_reverse(Matrix<Scalar,5,5>());
  //   bench_reverse(Matrix<Scalar,6,6>());
  //   bench_reverse(Matrix<Scalar,7,7>());
  //   bench_reverse(Matrix<Scalar,8,8>());
  //   bench_reverse(Matrix<Scalar,12,12>());
  //   bench_reverse(Matrix<Scalar,16,16>());
  return 0;
}

References i.