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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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