threed-beam-fea/ext/eigen-3.3.4/bench/perf_monitoring/gemm/gemm.cpp

68 lines
1.2 KiB
C++

#include <iostream>
#include <fstream>
#include <vector>
#include <Eigen/Core>
#include "../../BenchTimer.h"
using namespace Eigen;
#ifndef SCALAR
#error SCALAR must be defined
#endif
typedef SCALAR Scalar;
typedef Matrix<Scalar,Dynamic,Dynamic> Mat;
EIGEN_DONT_INLINE
void gemm(const Mat &A, const Mat &B, Mat &C)
{
C.noalias() += A * B;
}
EIGEN_DONT_INLINE
double bench(long m, long n, long k)
{
Mat A(m,k);
Mat B(k,n);
Mat C(m,n);
A.setRandom();
B.setRandom();
C.setZero();
BenchTimer t;
double up = 1e8*4/sizeof(Scalar);
double tm0 = 4, tm1 = 10;
if(NumTraits<Scalar>::IsComplex)
{
up /= 4;
tm0 = 2;
tm1 = 4;
}
double flops = 2. * m * n * k;
long rep = std::max(1., std::min(100., up/flops) );
long tries = std::max(tm0, std::min(tm1, up/flops) );
BENCH(t, tries, rep, gemm(A,B,C));
return 1e-9 * rep * flops / t.best();
}
int main(int argc, char **argv)
{
std::vector<double> results;
std::ifstream settings("gemm_settings.txt");
long m, n, k;
while(settings >> m >> n >> k)
{
//std::cerr << " Testing " << m << " " << n << " " << k << std::endl;
results.push_back( bench(m, n, k) );
}
std::cout << RowVectorXd::Map(results.data(), results.size());
return 0;
}