block_random_access_dense_matrix.cc 3.2 KB

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  1. // Ceres Solver - A fast non-linear least squares minimizer
  2. // Copyright 2023 Google Inc. All rights reserved.
  3. // http://ceres-solver.org/
  4. //
  5. // Redistribution and use in source and binary forms, with or without
  6. // modification, are permitted provided that the following conditions are met:
  7. //
  8. // * Redistributions of source code must retain the above copyright notice,
  9. // this list of conditions and the following disclaimer.
  10. // * Redistributions in binary form must reproduce the above copyright notice,
  11. // this list of conditions and the following disclaimer in the documentation
  12. // and/or other materials provided with the distribution.
  13. // * Neither the name of Google Inc. nor the names of its contributors may be
  14. // used to endorse or promote products derived from this software without
  15. // specific prior written permission.
  16. //
  17. // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
  18. // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  19. // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
  20. // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
  21. // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
  22. // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
  23. // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
  24. // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
  25. // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
  26. // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
  27. // POSSIBILITY OF SUCH DAMAGE.
  28. //
  29. // Author: sameeragarwal@google.com (Sameer Agarwal)
  30. #include "ceres/block_random_access_dense_matrix.h"
  31. #include <utility>
  32. #include <vector>
  33. #include "ceres/internal/eigen.h"
  34. #include "ceres/parallel_vector_ops.h"
  35. #include "glog/logging.h"
  36. namespace ceres::internal {
  37. BlockRandomAccessDenseMatrix::BlockRandomAccessDenseMatrix(
  38. std::vector<Block> blocks, ContextImpl* context, int num_threads)
  39. : blocks_(std::move(blocks)), context_(context), num_threads_(num_threads) {
  40. const int num_blocks = blocks_.size();
  41. num_rows_ = NumScalarEntries(blocks_);
  42. values_ = std::make_unique<double[]>(num_rows_ * num_rows_);
  43. cell_infos_ = std::make_unique<CellInfo[]>(num_blocks * num_blocks);
  44. for (int i = 0; i < num_blocks * num_blocks; ++i) {
  45. cell_infos_[i].values = values_.get();
  46. }
  47. SetZero();
  48. }
  49. CellInfo* BlockRandomAccessDenseMatrix::GetCell(const int row_block_id,
  50. const int col_block_id,
  51. int* row,
  52. int* col,
  53. int* row_stride,
  54. int* col_stride) {
  55. *row = blocks_[row_block_id].position;
  56. *col = blocks_[col_block_id].position;
  57. *row_stride = num_rows_;
  58. *col_stride = num_rows_;
  59. return &cell_infos_[row_block_id * blocks_.size() + col_block_id];
  60. }
  61. // Assume that the user does not hold any locks on any cell blocks
  62. // when they are calling SetZero.
  63. void BlockRandomAccessDenseMatrix::SetZero() {
  64. ParallelSetZero(context_, num_threads_, values_.get(), num_rows_ * num_rows_);
  65. }
  66. } // namespace ceres::internal