|
1 |
| -#include <iostream> |
2 |
| -#include <random> |
3 |
| - |
4 | 1 | using namespace sycl;
|
5 | 2 | using namespace sycl::ext::oneapi::experimental::matrix;
|
6 | 3 |
|
7 |
| -constexpr size_t TM = 8; |
8 |
| -constexpr size_t TK = 16; |
| 4 | +template <size_t TM, size_t TN, typename T1, size_t NUM_ROWS, size_t NUM_COLS> |
| 5 | +void matrix_load_and_store(T1 *input, T1 *out_col_major, T1 *out_row_major, |
| 6 | + queue q) { |
| 7 | + size_t M = NUM_ROWS; |
| 8 | + size_t N = NUM_COLS; |
9 | 9 |
|
10 |
| -template <typename T1, size_t NUM_ROWS_C, size_t NUM_COLS_C> |
11 |
| -void matrix_load_store(T1 *C, queue q) { |
12 |
| - size_t M = NUM_ROWS_C; |
13 |
| - size_t N = NUM_COLS_C; |
| 10 | + static_assert((NUM_ROWS % TM) == 0); |
| 11 | + static_assert((NUM_COLS % TN) == 0); |
14 | 12 |
|
15 | 13 | size_t NDRangeM = M / TM;
|
16 | 14 | size_t NDRangeN = N / TN;
|
17 | 15 |
|
18 |
| - auto pC = address_space_cast<sycl::access::address_space::global_space, |
19 |
| - sycl::access::decorated::no>(C); |
| 16 | + auto p_input = address_space_cast<sycl::access::address_space::global_space, |
| 17 | + sycl::access::decorated::no>(input); |
| 18 | + |
| 19 | + auto p_out_col_major = |
| 20 | + address_space_cast<sycl::access::address_space::global_space, |
| 21 | + sycl::access::decorated::no>(out_col_major); |
| 22 | + auto p_out_row_major = |
| 23 | + address_space_cast<sycl::access::address_space::global_space, |
| 24 | + sycl::access::decorated::no>(out_row_major); |
20 | 25 |
|
21 | 26 | q.submit([&](handler &cgh) {
|
22 | 27 | cgh.parallel_for(
|
23 | 28 | nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
|
24 |
| - [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] |
25 |
| - |
26 |
| - { |
27 |
| - // The submatrix API has to be accessed by all the workitems in |
28 |
| - // a subgroup these functions will be called once by the |
29 |
| - // subgroup no code divergence between the workitems |
| 29 | + [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] { |
30 | 30 | const auto global_idx = spmd_item.get_global_id(0);
|
31 | 31 | const auto global_idy = spmd_item.get_global_id(1);
|
32 | 32 | const auto sg_startx = global_idx - spmd_item.get_local_id(0);
|
33 | 33 | const auto sg_starty = global_idy - spmd_item.get_local_id(1);
|
34 | 34 |
|
35 | 35 | sub_group sg = spmd_item.get_sub_group();
|
36 |
| - joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_c; |
37 |
| - // for transposeC |
38 |
| - // which TN x TM in N x M: |
39 |
| - // M x N => TM x N => TM x TN => TN x TM |
40 |
| - // m=sg_startx |
41 |
| - // sg_starty/SG_SZ |
42 |
| - // linear_index = M * (sg_starty/SG_SZ *TN) + TM *sg_startx |
43 |
| - joint_matrix_load(sg, sub_c, |
44 |
| - pC + M * (sg_starty / SG_SZ * TN) + TM * sg_startx, |
45 |
| - M, layout::col_major); |
46 |
| - joint_matrix_store( |
47 |
| - sg, sub_c, pC + M * (sg_starty / SG_SZ * TN) + TM * sg_startx, M, |
48 |
| - layout::col_major); |
| 36 | + joint_matrix<sub_group, float, use::accumulator, TM, TN> sub_matrix; |
| 37 | + |
| 38 | + auto row_major_offset = |
| 39 | + (sg_startx * TM) * N + (sg_starty / SG_SZ * TN); |
| 40 | + auto col_major_offset = |
| 41 | + (sg_startx * TM) + (sg_starty / SG_SZ * TN) * M; |
| 42 | + |
| 43 | + joint_matrix_load(sg, sub_matrix, p_input + col_major_offset, M, |
| 44 | + layout::col_major); |
| 45 | + |
| 46 | + joint_matrix_store(sg, sub_matrix, |
| 47 | + p_out_col_major + row_major_offset, N, |
| 48 | + layout::row_major); |
| 49 | + |
| 50 | + joint_matrix_store(sg, sub_matrix, |
| 51 | + p_out_row_major + col_major_offset, M, |
| 52 | + layout::col_major); |
49 | 53 | }); // parallel for
|
50 | 54 | }).wait();
|
51 | 55 | }
|
52 | 56 |
|
53 |
| -int main() { |
54 |
| - static constexpr size_t MATRIX_M = 1024; |
55 |
| - static constexpr size_t MATRIX_N = 1024; |
| 57 | +template <size_t TM> void run_matrix_test() { |
| 58 | + static constexpr size_t MATRIX_M = TM * 16; |
| 59 | + static constexpr size_t MATRIX_N = TN * 16; |
56 | 60 |
|
57 | 61 | queue q;
|
58 |
| - float *C = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
59 |
| - float *D = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
| 62 | + float *input = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
| 63 | + float *out_col_major = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
| 64 | + float *out_row_major = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
| 65 | + float *ref_col_major = malloc_shared<float>(MATRIX_M * MATRIX_N, q); |
60 | 66 |
|
61 |
| - matrix_rand(MATRIX_M, MATRIX_N, C, (float)5.0); |
62 |
| - matrix_copy(MATRIX_M, MATRIX_N, C, D); |
| 67 | + // input is column majot matrix so it is of NxM shape |
| 68 | + matrix_rand(MATRIX_N, MATRIX_M, input, (float)5.0); |
| 69 | + matrix_fill(MATRIX_M, MATRIX_N, out_col_major, (float)0); |
| 70 | + matrix_fill(MATRIX_N, MATRIX_M, out_row_major, (float)0); |
| 71 | + matrix_transpose(MATRIX_N, MATRIX_M, ref_col_major, input); |
63 | 72 |
|
64 |
| - matrix_load_store<float, MATRIX_M, MATRIX_N>(C, q); |
| 73 | + matrix_load_and_store<TM, TN, float, MATRIX_M, MATRIX_N>(input, out_col_major, |
| 74 | + out_row_major, q); |
65 | 75 |
|
66 |
| - bool res = matrix_compare(MATRIX_M, MATRIX_N, C, D); |
| 76 | + // we use exact comparison as no low precision calculation is used in this |
| 77 | + // test |
| 78 | + std::cout << "compare results for TM " << TM << "\n"; |
| 79 | + bool res = matrix_compare<float, float, true>(MATRIX_M, MATRIX_N, |
| 80 | + out_col_major, ref_col_major) && |
| 81 | + matrix_compare<float, float, true>(MATRIX_N, MATRIX_M, |
| 82 | + out_row_major, input); |
| 83 | + free(input, q); |
| 84 | + free(out_col_major, q); |
| 85 | + free(out_row_major, q); |
| 86 | + free(ref_col_major, q); |
| 87 | + assert(res); |
| 88 | +} |
| 89 | + |
| 90 | +int main() { |
| 91 | + run_matrix_test<8>(); |
| 92 | + run_matrix_test<7>(); |
| 93 | + run_matrix_test<6>(); |
| 94 | + run_matrix_test<5>(); |
| 95 | + run_matrix_test<4>(); |
| 96 | + run_matrix_test<3>(); |
| 97 | + run_matrix_test<2>(); |
| 98 | + run_matrix_test<1>(); |
67 | 99 |
|
68 |
| - std::cout << (res ? "passed" : "failed") << std::endl; |
69 |
| - return !res; |
| 100 | + std::cout << "Passed\n"; |
| 101 | + return 0; |
70 | 102 | }
|
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