| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | #include "kapanova_s_sparse_matrix_mult_ccs_seq/seq/include/ops_seq.hpp" | ||
| 2 | |||
| 3 | #include <algorithm> | ||
| 4 | #include <cstddef> | ||
| 5 | #include <vector> | ||
| 6 | |||
| 7 | #include "kapanova_s_sparse_matrix_mult_ccs_seq/common/include/common.hpp" | ||
| 8 | |||
| 9 | namespace kapanova_s_sparse_matrix_mult_ccs_seq { | ||
| 10 | |||
| 11 |
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40 | KapanovaSSparseMatrixMultCCSSeq::KapanovaSSparseMatrixMultCCSSeq(const InType &in) { |
| 12 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 13 | GetInput() = in; | ||
| 14 | 40 | } | |
| 15 | |||
| 16 | 40 | bool KapanovaSSparseMatrixMultCCSSeq::ValidationImpl() { | |
| 17 | const auto &a = std::get<0>(GetInput()); | ||
| 18 | const auto &b = std::get<1>(GetInput()); | ||
| 19 | |||
| 20 |
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40 | if (a.cols != b.rows) { |
| 21 | return false; | ||
| 22 | } | ||
| 23 |
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40 | if (a.rows == 0 || a.cols == 0 || b.rows == 0 || b.cols == 0) { |
| 24 | return false; | ||
| 25 | } | ||
| 26 |
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40 | if (a.col_ptrs.size() != a.cols + 1) { |
| 27 | return false; | ||
| 28 | } | ||
| 29 |
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40 | if (b.col_ptrs.size() != b.cols + 1) { |
| 30 | return false; | ||
| 31 | } | ||
| 32 |
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40 | if (a.col_ptrs[0] != 0 || b.col_ptrs[0] != 0) { |
| 33 | return false; | ||
| 34 | } | ||
| 35 |
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40 | if (a.col_ptrs[a.cols] != a.nnz) { |
| 36 | return false; | ||
| 37 | } | ||
| 38 |
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40 | if (b.col_ptrs[b.cols] != b.nnz) { |
| 39 | return false; | ||
| 40 | } | ||
| 41 |
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40 | if (a.values.size() != a.nnz || a.row_indices.size() != a.nnz) { |
| 42 | return false; | ||
| 43 | } | ||
| 44 |
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40 | if (b.values.size() != b.nnz || b.row_indices.size() != b.nnz) { |
| 45 | ✗ | return false; | |
| 46 | } | ||
| 47 | |||
| 48 | return true; | ||
| 49 | } | ||
| 50 | |||
| 51 | 40 | bool KapanovaSSparseMatrixMultCCSSeq::PreProcessingImpl() { | |
| 52 | 40 | return true; | |
| 53 | } | ||
| 54 | |||
| 55 |
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40 | bool KapanovaSSparseMatrixMultCCSSeq::RunImpl() { |
| 56 | const auto &a = std::get<0>(GetInput()); | ||
| 57 | const auto &b = std::get<1>(GetInput()); | ||
| 58 | OutType &c = GetOutput(); | ||
| 59 | |||
| 60 | c.values.clear(); | ||
| 61 | c.row_indices.clear(); | ||
| 62 | 40 | c.rows = a.rows; | |
| 63 | 40 | c.cols = b.cols; | |
| 64 | 40 | c.col_ptrs.assign(c.cols + 1, 0); | |
| 65 | |||
| 66 | 40 | std::vector<double> accum(a.rows, 0.0); | |
| 67 |
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40 | std::vector<bool> nz_elem_rows(a.rows, false); |
| 68 | 40 | std::vector<size_t> nnz_rows; | |
| 69 | |||
| 70 |
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136 | for (size_t j = 0; j < b.cols; ++j) { |
| 71 | 96 | c.col_ptrs[j] = c.values.size(); | |
| 72 | |||
| 73 |
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240 | for (size_t k = b.col_ptrs[j]; k < b.col_ptrs[j + 1]; ++k) { |
| 74 | 144 | size_t ind = b.row_indices[k]; | |
| 75 | 144 | double b_val = b.values[k]; | |
| 76 | |||
| 77 |
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320 | for (size_t zc = a.col_ptrs[ind]; zc < a.col_ptrs[ind + 1]; ++zc) { |
| 78 | 176 | size_t i = a.row_indices[zc]; | |
| 79 |
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176 | double a_val = a.values[zc]; |
| 80 | |||
| 81 |
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176 | accum[i] += a_val * b_val; |
| 82 |
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176 | if (!nz_elem_rows[i]) { |
| 83 | nz_elem_rows[i] = true; | ||
| 84 | nnz_rows.push_back(i); | ||
| 85 | } | ||
| 86 | } | ||
| 87 | } | ||
| 88 | |||
| 89 | std::ranges::sort(nnz_rows); | ||
| 90 | |||
| 91 |
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224 | for (size_t i : nnz_rows) { |
| 92 |
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128 | if (accum[i] != 0.0) { |
| 93 |
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128 | c.row_indices.push_back(i); |
| 94 |
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128 | c.values.push_back(accum[i]); |
| 95 | } | ||
| 96 |
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128 | accum[i] = 0.0; |
| 97 | nz_elem_rows[i] = false; | ||
| 98 | } | ||
| 99 | nnz_rows.clear(); | ||
| 100 | } | ||
| 101 | |||
| 102 | 40 | c.nnz = c.values.size(); | |
| 103 |
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40 | c.col_ptrs[c.cols] = c.nnz; |
| 104 | |||
| 105 | 40 | return true; | |
| 106 | } | ||
| 107 | |||
| 108 | 40 | bool KapanovaSSparseMatrixMultCCSSeq::PostProcessingImpl() { | |
| 109 | 40 | return true; | |
| 110 | } | ||
| 111 | |||
| 112 | } // namespace kapanova_s_sparse_matrix_mult_ccs_seq | ||
| 113 |