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#ifndef TEST_NORM2_OPENCL_HH
#define TEST_NORM2_OPENCL_HH
#include "test_opencl.hpp"
template <class T, int number_of_tests, int max_dimension>
class bench_norm2
{
public:
typedef test_opencl<T, ublas::basic_row_major<>> 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> v;
for (int i = 0; i<number_of_tests; i++)
{
int size = std::rand() % max_dimension + 1;
v.resize(size);
test::init_vector(v, 200);
T norm2_cpu = ublas::norm_2(v);
T norm2_opencl = opencl::norm_2(v, queue);
if ((abs(norm2_cpu - norm2_opencl) / abs(norm2_cpu)) > 1e-6) //precision of float
{
std::cout << "Error in calculations" << std::endl;
std::cout << "passed: " << passedOperations << std::endl;
return;
}
passedOperations++;
}
std::cout << "All is well (vector opencl a_sum) of " << typeid(T).name() << std::endl;
}
};
#endif
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