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- // 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"
- #include "glog/logging.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
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