1
2 #include <iostream>
3 #include <Eigen/Core>
4 #include <bench/BenchUtil.h>
5 using namespace Eigen;
6
7 #ifndef REPEAT
8 #define REPEAT 100000
9 #endif
10
11 #ifndef TRIES
12 #define TRIES 20
13 #endif
14
15 typedef double Scalar;
16
17 template <typename MatrixType>
bench_reverse(const MatrixType & m)18 __attribute__ ((noinline)) void bench_reverse(const MatrixType& m)
19 {
20 int rows = m.rows();
21 int cols = m.cols();
22 int size = m.size();
23
24 int repeats = (REPEAT*1000)/size;
25 MatrixType a = MatrixType::Random(rows,cols);
26 MatrixType b = MatrixType::Random(rows,cols);
27
28 BenchTimer timerB, timerH, timerV;
29
30 Scalar acc = 0;
31 int r = internal::random<int>(0,rows-1);
32 int c = internal::random<int>(0,cols-1);
33 for (int t=0; t<TRIES; ++t)
34 {
35 timerB.start();
36 for (int k=0; k<repeats; ++k)
37 {
38 asm("#begin foo");
39 b = a.reverse();
40 asm("#end foo");
41 acc += b.coeff(r,c);
42 }
43 timerB.stop();
44 }
45
46 if (MatrixType::RowsAtCompileTime==Dynamic)
47 std::cout << "dyn ";
48 else
49 std::cout << "fixed ";
50 std::cout << rows << " x " << cols << " \t"
51 << (timerB.value() * REPEAT) / repeats << "s "
52 << "(" << 1e-6 * size*repeats/timerB.value() << " MFLOPS)\t";
53
54 std::cout << "\n";
55 // make sure the compiler does not optimize too much
56 if (acc==123)
57 std::cout << acc;
58 }
59
main(int argc,char * argv[])60 int main(int argc, char* argv[])
61 {
62 const int dynsizes[] = {4,6,8,16,24,32,49,64,128,256,512,900,0};
63 std::cout << "size no sqrt standard";
64 // #ifdef BENCH_GSL
65 // std::cout << " GSL (standard + double + ATLAS) ";
66 // #endif
67 std::cout << "\n";
68 for (uint i=0; dynsizes[i]>0; ++i)
69 {
70 bench_reverse(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
71 bench_reverse(Matrix<Scalar,Dynamic,1>(dynsizes[i]*dynsizes[i]));
72 }
73 // bench_reverse(Matrix<Scalar,2,2>());
74 // bench_reverse(Matrix<Scalar,3,3>());
75 // bench_reverse(Matrix<Scalar,4,4>());
76 // bench_reverse(Matrix<Scalar,5,5>());
77 // bench_reverse(Matrix<Scalar,6,6>());
78 // bench_reverse(Matrix<Scalar,7,7>());
79 // bench_reverse(Matrix<Scalar,8,8>());
80 // bench_reverse(Matrix<Scalar,12,12>());
81 // bench_reverse(Matrix<Scalar,16,16>());
82 return 0;
83 }
84
85