| #ifndef TEST_TRANS_OPENCL_HH |
| #define TEST_TRANS_OPENCL_HH |
| #include "test_opencl.hpp" |
| |
| |
| template <class T, class F, int number_of_tests, int max_dimension> |
| class bench_trans |
| { |
| public: |
| |
| typedef test_opencl<T, F> 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::matrix<T, F> a; |
| ublas::matrix<T, F> resultUBLAS; |
| ublas::matrix<T, F> resultOPENCL; |
| |
| |
| for (int i = 0; i<number_of_tests; i++) |
| { |
| int rowsA = std::rand() % max_dimension + 1; |
| int colsA = std::rand() % max_dimension + 1; |
| |
| a.resize(rowsA, colsA); |
| |
| test::init_matrix(a, 200); |
| |
| resultUBLAS = ublas::trans(a); |
| resultOPENCL = opencl::trans(a, 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 prod) of " << typeid(T).name() << std::endl; |
| |
| |
| |
| } |
| |
| }; |
| |
| #endif |