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1 #ifndef TEST_INNER_PROD_HH
2 #define TEST_INNER_PROD_HH
3 #include "test_opencl.hpp"
4
5
6 template <class T, int number_of_tests, int max_dimension>
7 class bench_inner_prod
8 {
9 public:
10
11 typedef test_opencl<T> test;
12
13 void run()
14 {
15 opencl::library lib;
16 int passedOperations = 0;
17 // get default device and setup context
18 compute::device device = compute::system::default_device();
19 compute::context context(device);
20 compute::command_queue queue(context, device);
21
22 std::srand(time(0));
23
24 ublas::vector<T> va;
25 ublas::vector<T> vb;
26 T result_inner_prod_ublas;
27 T result_inner_prod_opencl;
28
29
30 for (int i = 0; i<number_of_tests; i++)
31 {
32 int size = std::rand() % max_dimension + 1;
33
34 va.resize(size);
35 vb.resize(size);
36
37 test::init_vector(va, 200);
38 test::init_vector(vb, 200);
39
40 result_inner_prod_ublas = ublas::inner_prod(va, vb);
41
42 result_inner_prod_opencl = opencl::inner_prod(va, vb, queue);
43
44
45 if (( result_inner_prod_ublas != result_inner_prod_opencl ))
46 {
47 std::cout << "Error in calculations" << std::endl;
48
49 std::cout << "passed: " << passedOperations << std::endl;
50 return;
51 }
52
53 passedOperations++;
54
55 }
56 std::cout << "All is well (matrix opencl inner prod) of " << typeid(T).name() << std::endl;
57
58
59
60 }
61
62 };
63
64 #endif