blob: 348d0b1d6cb6b2816120e446c50e9276703e5ae3 [file] [log] [blame]
#ifndef TEST_PROD_OPENCL_HH
#define TEST_PROD_OPENCL_HH
#include "test_opencl.hpp"
template <class T, int number_of_tests, int max_dimension>
class bench_outer_prod
{
public:
typedef test_opencl<T> test;
void run()
{
opencl::library lib;
int passedOperations = 0;
// get default device and setup context
compute::device device = compute::system::default_device();
compute::context context(device);
compute::command_queue queue(context, device);
std::srand(time(0));
ublas::vector<T> va;
ublas::vector<T> vb;
ublas::matrix<T> resultUBLAS;
ublas::matrix<T> resultOPENCL;
for (int i = 0; i<number_of_tests; i++)
{
int rows = std::rand() % max_dimension + 1;
int cols = std::rand() % max_dimension + 1;
va.resize(rows);
vb.resize(cols);
test::init_vector(va, 200);
test::init_vector(vb, 200);
//matrix_matrix
resultUBLAS = ublas::outer_prod(va, vb);
resultOPENCL = opencl::outer_prod(va, vb, queue);
if (!test::compare(resultUBLAS, resultOPENCL))
{
std::cout << "Error in calculations" << std::endl;
std::cout << "passed: " << passedOperations << std::endl;
return;
}
passedOperations++;
}
std::cout << "All is well (matrix opencl outer prod) of " << typeid(T).name() << std::endl;
}
};
#endif