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|---|---|---|---|
| 1 | #include "perepelkin_i_matrix_mult_horizontal_strip_only_a/seq/include/ops_seq.hpp" | ||
| 2 | |||
| 3 | #include <cstddef> | ||
| 4 | #include <functional> | ||
| 5 | #include <numeric> | ||
| 6 | #include <vector> | ||
| 7 | |||
| 8 | #include "perepelkin_i_matrix_mult_horizontal_strip_only_a/common/include/common.hpp" | ||
| 9 | |||
| 10 | namespace perepelkin_i_matrix_mult_horizontal_strip_only_a { | ||
| 11 | |||
| 12 |
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128 | PerepelkinIMatrixMultHorizontalStripOnlyASEQ::PerepelkinIMatrixMultHorizontalStripOnlyASEQ(const InType &in) { |
| 13 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 14 | GetInput() = in; | ||
| 15 | 128 | GetOutput() = std::vector<std::vector<double>>(); | |
| 16 | 128 | } | |
| 17 | |||
| 18 |
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128 | bool PerepelkinIMatrixMultHorizontalStripOnlyASEQ::ValidationImpl() { |
| 19 | const auto &[matrix_a, matrix_b] = GetInput(); | ||
| 20 | |||
| 21 |
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128 | if (matrix_a.empty() || matrix_b.empty()) { |
| 22 | return false; | ||
| 23 | } | ||
| 24 | |||
| 25 | const size_t width_a = matrix_a[0].size(); | ||
| 26 | const size_t width_b = matrix_b[0].size(); | ||
| 27 | const size_t height_b = matrix_b.size(); | ||
| 28 | |||
| 29 |
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128 | if (width_a != height_b) { |
| 30 | return false; | ||
| 31 | } | ||
| 32 | |||
| 33 |
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328 | for (size_t i = 1; i < matrix_a.size(); i++) { |
| 34 |
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200 | if (matrix_a[i].size() != width_a) { |
| 35 | return false; | ||
| 36 | } | ||
| 37 | } | ||
| 38 | |||
| 39 |
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328 | for (size_t i = 1; i < matrix_b.size(); i++) { |
| 40 |
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200 | if (matrix_b[i].size() != width_b) { |
| 41 | return false; | ||
| 42 | } | ||
| 43 | } | ||
| 44 | |||
| 45 | 128 | return GetOutput().empty(); | |
| 46 | } | ||
| 47 | |||
| 48 | 128 | bool PerepelkinIMatrixMultHorizontalStripOnlyASEQ::PreProcessingImpl() { | |
| 49 | const auto &[matrix_a, matrix_b] = GetInput(); | ||
| 50 | |||
| 51 | // Store original sizes | ||
| 52 | 128 | height_a_ = matrix_a.size(); | |
| 53 | 128 | height_b_ = matrix_b.size(); | |
| 54 | 128 | width_a_ = matrix_a[0].size(); | |
| 55 | 128 | width_b_ = matrix_b[0].size(); | |
| 56 | |||
| 57 | // Flatten matrix A | ||
| 58 | 128 | flat_a_.reserve(width_a_ * height_a_); | |
| 59 |
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456 | for (const auto &row : matrix_a) { |
| 60 | 328 | flat_a_.insert(flat_a_.end(), row.begin(), row.end()); | |
| 61 | } | ||
| 62 | |||
| 63 | // Create transposed-and-flattened matrix B | ||
| 64 | 128 | flat_b_t_.resize(width_b_ * height_b_); | |
| 65 |
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456 | for (size_t row = 0; row < height_b_; row++) { |
| 66 |
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1120 | for (size_t col = 0; col < width_b_; col++) { |
| 67 | 792 | flat_b_t_[(col * height_b_) + row] = matrix_b[row][col]; | |
| 68 | } | ||
| 69 | } | ||
| 70 | |||
| 71 | 128 | return true; | |
| 72 | } | ||
| 73 | |||
| 74 | 128 | bool PerepelkinIMatrixMultHorizontalStripOnlyASEQ::RunImpl() { | |
| 75 | auto &output = GetOutput(); | ||
| 76 | 128 | output.resize(height_a_); | |
| 77 |
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456 | for (auto &row : output) { |
| 78 | 328 | row.resize(width_b_); | |
| 79 | } | ||
| 80 | |||
| 81 |
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456 | for (size_t i = 0; i < height_a_; ++i) { |
| 82 | 328 | const auto a_it = flat_a_.begin() + static_cast<DiffT>(i * width_a_); | |
| 83 | const auto a_end = a_it + static_cast<DiffT>(width_a_); | ||
| 84 |
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1144 | for (size_t j = 0; j < width_b_; ++j) { |
| 85 | 816 | const auto b_it = flat_b_t_.begin() + static_cast<DiffT>(j * width_a_); | |
| 86 | 816 | output[i][j] = std::transform_reduce(a_it, a_end, b_it, 0.0, std::plus<>(), std::multiplies<>()); | |
| 87 | } | ||
| 88 | } | ||
| 89 | |||
| 90 | 128 | return true; | |
| 91 | } | ||
| 92 | |||
| 93 | 128 | bool PerepelkinIMatrixMultHorizontalStripOnlyASEQ::PostProcessingImpl() { | |
| 94 | 128 | return true; | |
| 95 | } | ||
| 96 | |||
| 97 | } // namespace perepelkin_i_matrix_mult_horizontal_strip_only_a | ||
| 98 |