11d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Ceres Solver - A fast non-linear least squares minimizer
21d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Copyright 2013 Google Inc. All rights reserved.
31d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// http://code.google.com/p/ceres-solver/
41d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//
51d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Redistribution and use in source and binary forms, with or without
61d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// modification, are permitted provided that the following conditions are met:
71d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//
81d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// * Redistributions of source code must retain the above copyright notice,
91d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//   this list of conditions and the following disclaimer.
101d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// * Redistributions in binary form must reproduce the above copyright notice,
111d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//   this list of conditions and the following disclaimer in the documentation
121d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//   and/or other materials provided with the distribution.
131d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// * Neither the name of Google Inc. nor the names of its contributors may be
141d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//   used to endorse or promote products derived from this software without
151d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//   specific prior written permission.
161d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//
171d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
181d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
191d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
201d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
211d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
221d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
231d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
241d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
251d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
261d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
271d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// POSSIBILITY OF SUCH DAMAGE.
281d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling//
291d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Author: sameeragarwal@google.com (Sameer Agarwal)
301d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
311d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/block_random_access_crs_matrix.h"
321d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
331d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include <algorithm>
341d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include <set>
351d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include <utility>
361d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include <vector>
371d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/compressed_row_sparse_matrix.h"
381d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/internal/port.h"
391d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/internal/scoped_ptr.h"
401d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/mutex.h"
411d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/triplet_sparse_matrix.h"
421d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "ceres/types.h"
431d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling#include "glog/logging.h"
441d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
451d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberlingnamespace ceres {
461d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberlingnamespace internal {
471d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
481d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha HaeberlingBlockRandomAccessCRSMatrix::BlockRandomAccessCRSMatrix(
491d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const vector<int>& blocks,
501d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const set<pair<int, int> >& block_pairs)
511d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    : kMaxRowBlocks(10 * 1000 * 1000),
521d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      blocks_(blocks) {
531d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  CHECK_LT(blocks.size(), kMaxRowBlocks);
541d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
551d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  col_layout_.resize(blocks_.size(), 0);
561d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  row_strides_.resize(blocks_.size(), 0);
571d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
581d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // Build the row/column layout vector and count the number of scalar
591d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // rows/columns.
601d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  int num_cols = 0;
611d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  for (int i = 0; i < blocks_.size(); ++i) {
621d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    col_layout_[i] = num_cols;
631d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    num_cols += blocks_[i];
641d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  }
651d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
661d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // Walk the sparsity pattern and count the number of non-zeros.
671d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  int num_nonzeros = 0;
681d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  for (set<pair<int, int> >::const_iterator it = block_pairs.begin();
691d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling       it != block_pairs.end();
701d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling       ++it) {
711d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const int row_block_size = blocks_[it->first];
721d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const int col_block_size = blocks_[it->second];
731d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    num_nonzeros += row_block_size * col_block_size;
741d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  }
751d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
761d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  VLOG(2) << "Matrix Size [" << num_cols
771d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling          << "," << num_cols
781d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling          << "] " << num_nonzeros;
791d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
801d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  crsm_.reset(new CompressedRowSparseMatrix(num_cols, num_cols, num_nonzeros));
811d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  int* rows = crsm_->mutable_rows();
821d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  int* cols = crsm_->mutable_cols();
831d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  double* values = crsm_->mutable_values();
841d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
851d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // Iterate over the sparsity pattern and fill the scalar sparsity
861d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // pattern of the underlying compressed sparse row matrix. Along the
871d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // way also fill out the Layout object which will allow random
881d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // access into the CRS Matrix.
891d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  set<pair<int, int> >::const_iterator it = block_pairs.begin();
901d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  vector<int> col_blocks;
911d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  int row_pos = 0;
921d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  rows[0] = 0;
931d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  while (it != block_pairs.end()) {
941d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    // Add entries to layout_ for all the blocks for this row.
951d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    col_blocks.clear();
961d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const int row_block_id = it->first;
971d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    const int row_block_size = blocks_[row_block_id];
981d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    int num_cols = 0;
991d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    while ((it != block_pairs.end()) && (it->first == row_block_id)) {
1001d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      layout_[IntPairToLong(it->first, it->second)] =
1011d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling          new CellInfo(values + num_cols);
1021d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      col_blocks.push_back(it->second);
1031d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      num_cols += blocks_[it->second];
1041d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      ++it;
1051d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    };
1061d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1071d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    // Count the number of non-zeros in the row block.
1081d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    for (int j = 0; j < row_block_size; ++j) {
1091d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      rows[row_pos + j + 1] = rows[row_pos + j] + num_cols;
1101d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    }
1111d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1121d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    // Fill out the sparsity pattern for each row.
1131d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    int col_pos = 0;
1141d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    for (int j = 0; j < col_blocks.size(); ++j) {
1151d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      const int col_block_id = col_blocks[j];
1161d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      const int col_block_size = blocks_[col_block_id];
1171d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      for (int r = 0; r < row_block_size; ++r) {
1181d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling        const int column_block_begin = rows[row_pos + r] + col_pos;
1191d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling        for (int c = 0; c < col_block_size; ++c) {
1201d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling          cols[column_block_begin + c] = col_layout_[col_block_id] + c;
1211d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling        }
1221d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      }
1231d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      col_pos += col_block_size;
1241d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    }
1251d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1261d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    row_pos += row_block_size;
1271d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    values += row_block_size * num_cols;
1281d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    row_strides_[row_block_id] = num_cols;
1291d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  }
1301d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}
1311d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1321d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Assume that the user does not hold any locks on any cell blocks
1331d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// when they are calling SetZero.
1341d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha HaeberlingBlockRandomAccessCRSMatrix::~BlockRandomAccessCRSMatrix() {
1351d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // TODO(sameeragarwal) this should be rationalized going forward and
1361d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  // perhaps moved into BlockRandomAccessMatrix.
1371d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  for (LayoutType::iterator it = layout_.begin();
1381d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling       it != layout_.end();
1391d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling       ++it) {
1401d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    delete it->second;
1411d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  }
1421d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}
1431d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1441d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha HaeberlingCellInfo* BlockRandomAccessCRSMatrix::GetCell(int row_block_id,
1451d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling                                              int col_block_id,
1461d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling                                              int* row,
1471d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling                                              int* col,
1481d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling                                              int* row_stride,
1491d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling                                              int* col_stride) {
1501d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  const LayoutType::iterator it  =
1511d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling      layout_.find(IntPairToLong(row_block_id, col_block_id));
1521d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  if (it == layout_.end()) {
1531d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling    return NULL;
1541d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  }
1551d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1561d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  *row = 0;
1571d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  *col = 0;
1581d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  *row_stride = blocks_[row_block_id];
1591d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  *col_stride = row_strides_[row_block_id];
1601d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  return it->second;
1611d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}
1621d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1631d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// Assume that the user does not hold any locks on any cell blocks
1641d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling// when they are calling SetZero.
1651d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberlingvoid BlockRandomAccessCRSMatrix::SetZero() {
1661d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling  crsm_->SetZero();
1671d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}
1681d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling
1691d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}  // namespace internal
1701d2624a10e2c559f8ba9ef89eaa30832c0a83a96Sascha Haeberling}  // namespace ceres
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