| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2023 Google Inc. All rights reserved. | |
| // http://ceres-solver.org/ | |
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| // | |
| // Author: sameeragarwal@google.com (Sameer Agarwal) | |
| #include "ceres/block_random_access_dense_matrix.h" | |
| #include <utility> | |
| #include <vector> | |
| #include "ceres/internal/eigen.h" | |
| #include "ceres/parallel_vector_ops.h" | |
| namespace ceres::internal { | |
| BlockRandomAccessDenseMatrix::BlockRandomAccessDenseMatrix( | |
| std::vector<Block> blocks, ContextImpl* context, int num_threads) | |
| : blocks_(std::move(blocks)), context_(context), num_threads_(num_threads) { | |
| const int num_blocks = blocks_.size(); | |
| num_rows_ = NumScalarEntries(blocks_); | |
| values_ = std::make_unique<double[]>(num_rows_ * num_rows_); | |
| cell_infos_ = std::make_unique<CellInfo[]>(num_blocks * num_blocks); | |
| for (int i = 0; i < num_blocks * num_blocks; ++i) { | |
| cell_infos_[i].values = values_.get(); | |
| } | |
| SetZero(); | |
| } | |
| CellInfo* BlockRandomAccessDenseMatrix::GetCell(const int row_block_id, | |
| const int col_block_id, | |
| int* row, | |
| int* col, | |
| int* row_stride, | |
| int* col_stride) { | |
| *row = blocks_[row_block_id].position; | |
| *col = blocks_[col_block_id].position; | |
| *row_stride = num_rows_; | |
| *col_stride = num_rows_; | |
| return &cell_infos_[row_block_id * blocks_.size() + col_block_id]; | |
| } | |
| // Assume that the user does not hold any locks on any cell blocks | |
| // when they are calling SetZero. | |
| void BlockRandomAccessDenseMatrix::SetZero() { | |
| ParallelSetZero(context_, num_threads_, values_.get(), num_rows_ * num_rows_); | |
| } | |
| } // namespace ceres::internal |