1 #ifndef TEST_NORM_OPENCL_HH 2 #define TEST_NORM_OPENCL_HH 3 #include "test_opencl.hpp" 4 5 6 template <class T, int number_of_tests, int max_dimension> 7 class bench_norm 8 { 9 public: 10 11 typedef test_opencl<T, ublas::basic_row_major<>> test; 12 13 run()14 void run() 15 { 16 opencl::library lib; 17 int passedOperations = 0; 18 // get default device and setup context 19 compute::device device = compute::system::default_device(); 20 compute::context context(device); 21 compute::command_queue queue(context, device); 22 23 std::srand(time(0)); 24 25 ublas::vector<T> v; 26 27 28 for (int i = 0; i<number_of_tests; i++) 29 { 30 int size = std::rand() % max_dimension + 1; 31 32 v.resize(size); 33 test::init_vector(v, 200); 34 35 36 T norm_cpu = ublas::norm_1(v); 37 T norm_opencl = opencl::norm_1(v, queue); 38 39 40 if (norm_cpu != norm_opencl) //precision of float 41 { 42 std::cout << "Error in calculations" << std::endl; 43 44 std::cout << "passed: " << passedOperations << std::endl; 45 return; 46 } 47 48 passedOperations++; 49 50 } 51 std::cout << "All is well (vector opencl a_sum) of " << typeid(T).name() << std::endl; 52 53 54 55 } 56 57 }; 58 59 #endif