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| 1 | +//==----------- element_wise_abc_impl.hpp - DPC++ joint_matrix------------- |
| 2 | +//----==// |
| 3 | +// |
| 4 | +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 5 | +// See https://llvm.org/LICENSE.txt for license information. |
| 6 | +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 7 | +// |
| 8 | +//===----------------------------------------------------------------------===// |
| 9 | + |
| 10 | +#include <iostream> |
| 11 | +#include <sycl/sycl.hpp> |
| 12 | + |
| 13 | +using namespace sycl; |
| 14 | +using namespace sycl::ext::oneapi::experimental::matrix; |
| 15 | + |
| 16 | +#define TM 8 |
| 17 | +#define TN SG_SZ |
| 18 | +#define TK 32 |
| 19 | + |
| 20 | +template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix { |
| 21 | +public: |
| 22 | + T *mat; |
| 23 | + |
| 24 | +public: |
| 25 | + T *get_data() { return mat; } |
| 26 | + void set_data(T *data) { mat = data; } |
| 27 | + big_matrix(T *data) : mat(data) {} |
| 28 | +}; |
| 29 | + |
| 30 | +template <typename T1, typename T2, size_t NUM_ROWS_A, size_t NUM_COLS_A, |
| 31 | + size_t NUM_ROWS_B, size_t NUM_COLS_B, size_t NUM_ROWS_C, |
| 32 | + size_t NUM_COLS_C> |
| 33 | +void matrix_elem_wise_ops(big_matrix<T1, NUM_ROWS_C, NUM_COLS_C> &C, |
| 34 | + big_matrix<T2, NUM_ROWS_A, NUM_COLS_A> &A, |
| 35 | + big_matrix<T2, NUM_ROWS_B, NUM_COLS_B> &B) { |
| 36 | + size_t M = NUM_ROWS_C; |
| 37 | + size_t N = NUM_COLS_C; |
| 38 | + size_t K = NUM_COLS_A; |
| 39 | + |
| 40 | + // B => K/4 x N*4, A => M x K, C => M, N |
| 41 | + // stride should be X's cols, e.g., B's stirde = N*4 |
| 42 | + assert(NUM_ROWS_C == NUM_ROWS_A && NUM_COLS_A == NUM_ROWS_B * 4); |
| 43 | + |
| 44 | + size_t NDRangeM = M / TM; |
| 45 | + size_t NDRangeN = N / TN; |
| 46 | + buffer<int8_t, 2> bufA(A.get_data(), range<2>(M, K)); |
| 47 | + buffer<int8_t, 2> bufB(B.get_data(), range<2>(K, N)); |
| 48 | + buffer<int32_t, 2> bufC(C.get_data(), range<2>(M, N)); |
| 49 | + |
| 50 | + queue q; |
| 51 | + q.submit([&](handler &cgh) { |
| 52 | + auto accC = bufC.get_access<access::mode::read_write>(cgh); |
| 53 | + auto accA = bufA.get_access<access::mode::read_write>(cgh); |
| 54 | + auto accB = bufB.get_access<access::mode::read_write>(cgh); |
| 55 | + |
| 56 | + cgh.parallel_for( |
| 57 | + nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}), |
| 58 | + [accA, accB, accC, M, N, |
| 59 | + K](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] { |
| 60 | + // The submatrix API has to be accessed by all the workitems in a |
| 61 | + // subgroup these functions will be called once by the subgroup no |
| 62 | + // code divergence between the workitems |
| 63 | + const auto global_idx = spmd_item.get_global_id(0); |
| 64 | + const auto global_idy = spmd_item.get_global_id(1); |
| 65 | + const auto sg_startx = global_idx - spmd_item.get_local_id(0); |
| 66 | + const auto sg_starty = global_idy - spmd_item.get_local_id(1); |
| 67 | + |
| 68 | + ext::oneapi::sub_group sg = spmd_item.get_sub_group(); |
| 69 | + joint_matrix<sub_group, int8_t, use::a, TM, TK, layout::row_major> |
| 70 | + sub_a; |
| 71 | + |
| 72 | + // For B, we assume B has been already VNNIed. |
| 73 | + joint_matrix<sub_group, int8_t, use::b, TK, TN, |
| 74 | + ext::intel::experimental::matrix::layout::packed> |
| 75 | + sub_b; |
| 76 | + |
| 77 | + joint_matrix<sub_group, int32_t, use::accumulator, TM, TN> sub_c; |
| 78 | + |
| 79 | + joint_matrix_load( |
| 80 | + sg, sub_c, |
| 81 | + accC.template get_multi_ptr<access::decorated::no>() + |
| 82 | + (sg_startx * TM) * N + sg_starty / SG_SZ * TN, |
| 83 | + N, layout::row_major); |
| 84 | + |
| 85 | + joint_matrix_load( |
| 86 | + sg, sub_a, |
| 87 | + accA.template get_multi_ptr<access::decorated::no>() + |
| 88 | + (sg_startx * TM) * K, |
| 89 | + K); |
| 90 | + auto wi_slice_a = |
| 91 | + sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_a); |
| 92 | + for (int i = 0; i < wi_slice_a.length(); i++) { |
| 93 | + wi_slice_a[i] += 1; |
| 94 | + } |
| 95 | + |
| 96 | + joint_matrix_load( |
| 97 | + sg, sub_b, |
| 98 | + accB.template get_multi_ptr<access::decorated::no>() + |
| 99 | + +sg_starty / SG_SZ * TN * 4, |
| 100 | + N * 4); |
| 101 | + auto wi_slice_b = |
| 102 | + sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_b); |
| 103 | + for (int i = 0; i < wi_slice_b.length(); i++) { |
| 104 | + wi_slice_b[i] += 1; |
| 105 | + } |
| 106 | + |
| 107 | + auto wi_slice_c = |
| 108 | + sycl::ext::intel::experimental::matrix::get_wi_data(sg, sub_c); |
| 109 | + for (int i = 0; i < wi_slice_c.length(); i++) { |
| 110 | + wi_slice_c[i] += 1; |
| 111 | + } |
| 112 | + }); // parallel for |
| 113 | + }).wait(); |
| 114 | +} |
| 115 | + |
| 116 | +int8_t A[TM][TK]; |
| 117 | +int8_t B[TK / 4][TN * 4]; |
| 118 | +int32_t C[TM][TN]; |
| 119 | + |
| 120 | +int main() { |
| 121 | + big_matrix<int32_t, TM, TN> MC((int32_t *)&C); |
| 122 | + big_matrix<int8_t, TM, TK> MA((int8_t *)&A); |
| 123 | + big_matrix<int8_t, TK / 4, TN * 4> MB((int8_t *)&B); |
| 124 | + matrix_elem_wise_ops(MC, MA, MB); |
| 125 | + |
| 126 | + return 0; |
| 127 | +} |
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