|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2023 Google Inc. All rights reserved. | 
|  | // http://ceres-solver.org/ | 
|  | // | 
|  | // Redistribution and use in source and binary forms, with or without | 
|  | // modification, are permitted provided that the following conditions are met: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
|  | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // 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 |