eigen/bench/perf_monitoring/gemm/lazy_gemm.cpp
2015-10-07 16:06:48 +02:00

98 lines
2.3 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;
template<typename MatA, typename MatB, typename MatC>
inline void lazy_gemm(const MatA &A, const MatB &B, MatC &C)
{
escape((void*)A.data());
escape((void*)B.data());
C.noalias() += A.lazyProduct(B);
escape((void*)C.data());
}
template<int m, int n, int k, int TA>
EIGEN_DONT_INLINE
double bench()
{
typedef Matrix<Scalar,m,k,TA> MatA;
typedef Matrix<Scalar,k,n> MatB;
typedef Matrix<Scalar,m,n> MatC;
MatA A(m,k);
MatB B(k,n);
MatC C(m,n);
A.setRandom();
B.setRandom();
C.setZero();
BenchTimer t;
double up = 1e7*4/sizeof(Scalar);
double tm0 = 10, tm1 = 20;
double flops = 2. * m * n * k;
long rep = std::max(10., std::min(10000., up/flops) );
long tries = std::max(tm0, std::min(tm1, up/flops) );
BENCH(t, tries, rep, lazy_gemm(A,B,C));
return 1e-9 * rep * flops / t.best();
}
template<int m, int n, int k>
double bench_t(int t)
{
if(t)
return bench<m,n,k,RowMajor>();
else
return bench<m,n,k,0>();
}
EIGEN_DONT_INLINE
double bench_mnk(int m, int n, int k, int t)
{
int id = m*10000 + n*100 + k;
switch(id) {
case 10101 : return bench_t< 1, 1, 1>(t); break;
case 20202 : return bench_t< 2, 2, 2>(t); break;
case 30303 : return bench_t< 3, 3, 3>(t); break;
case 40404 : return bench_t< 4, 4, 4>(t); break;
case 50505 : return bench_t< 5, 5, 5>(t); break;
case 60606 : return bench_t< 6, 6, 6>(t); break;
case 70707 : return bench_t< 7, 7, 7>(t); break;
case 80808 : return bench_t< 8, 8, 8>(t); break;
case 90909 : return bench_t< 9, 9, 9>(t); break;
case 101010 : return bench_t<10,10,10>(t); break;
case 111111 : return bench_t<11,11,11>(t); break;
case 121212 : return bench_t<12,12,12>(t); break;
}
return 0;
}
int main(int argc, char **argv)
{
std::vector<double> results;
std::ifstream settings("lazy_gemm_settings.txt");
long m, n, k, t;
while(settings >> m >> n >> k >> t)
{
//std::cerr << " Testing " << m << " " << n << " " << k << std::endl;
results.push_back( bench_mnk(m, n, k, t) );
}
std::cout << RowVectorXd::Map(results.data(), results.size());
return 0;
}