// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2013 Google Inc. All rights reserved. // http://code.google.com/p/ceres-solver/ // // 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_crs_matrix.h" #include #include #include #include #include "ceres/compressed_row_sparse_matrix.h" #include "ceres/internal/port.h" #include "ceres/internal/scoped_ptr.h" #include "ceres/mutex.h" #include "ceres/triplet_sparse_matrix.h" #include "ceres/types.h" #include "glog/logging.h" namespace ceres { namespace internal { BlockRandomAccessCRSMatrix::BlockRandomAccessCRSMatrix( const vector& blocks, const set >& block_pairs) : kMaxRowBlocks(10 * 1000 * 1000), blocks_(blocks) { CHECK_LT(blocks.size(), kMaxRowBlocks); col_layout_.resize(blocks_.size(), 0); row_strides_.resize(blocks_.size(), 0); // Build the row/column layout vector and count the number of scalar // rows/columns. int num_cols = 0; for (int i = 0; i < blocks_.size(); ++i) { col_layout_[i] = num_cols; num_cols += blocks_[i]; } // Walk the sparsity pattern and count the number of non-zeros. int num_nonzeros = 0; for (set >::const_iterator it = block_pairs.begin(); it != block_pairs.end(); ++it) { const int row_block_size = blocks_[it->first]; const int col_block_size = blocks_[it->second]; num_nonzeros += row_block_size * col_block_size; } VLOG(2) << "Matrix Size [" << num_cols << "," << num_cols << "] " << num_nonzeros; crsm_.reset(new CompressedRowSparseMatrix(num_cols, num_cols, num_nonzeros)); int* rows = crsm_->mutable_rows(); int* cols = crsm_->mutable_cols(); double* values = crsm_->mutable_values(); // Iterate over the sparsity pattern and fill the scalar sparsity // pattern of the underlying compressed sparse row matrix. Along the // way also fill out the Layout object which will allow random // access into the CRS Matrix. set >::const_iterator it = block_pairs.begin(); vector col_blocks; int row_pos = 0; rows[0] = 0; while (it != block_pairs.end()) { // Add entries to layout_ for all the blocks for this row. col_blocks.clear(); const int row_block_id = it->first; const int row_block_size = blocks_[row_block_id]; int num_cols = 0; while ((it != block_pairs.end()) && (it->first == row_block_id)) { layout_[IntPairToLong(it->first, it->second)] = new CellInfo(values + num_cols); col_blocks.push_back(it->second); num_cols += blocks_[it->second]; ++it; }; // Count the number of non-zeros in the row block. for (int j = 0; j < row_block_size; ++j) { rows[row_pos + j + 1] = rows[row_pos + j] + num_cols; } // Fill out the sparsity pattern for each row. int col_pos = 0; for (int j = 0; j < col_blocks.size(); ++j) { const int col_block_id = col_blocks[j]; const int col_block_size = blocks_[col_block_id]; for (int r = 0; r < row_block_size; ++r) { const int column_block_begin = rows[row_pos + r] + col_pos; for (int c = 0; c < col_block_size; ++c) { cols[column_block_begin + c] = col_layout_[col_block_id] + c; } } col_pos += col_block_size; } row_pos += row_block_size; values += row_block_size * num_cols; row_strides_[row_block_id] = num_cols; } } // Assume that the user does not hold any locks on any cell blocks // when they are calling SetZero. BlockRandomAccessCRSMatrix::~BlockRandomAccessCRSMatrix() { // TODO(sameeragarwal) this should be rationalized going forward and // perhaps moved into BlockRandomAccessMatrix. for (LayoutType::iterator it = layout_.begin(); it != layout_.end(); ++it) { delete it->second; } } CellInfo* BlockRandomAccessCRSMatrix::GetCell(int row_block_id, int col_block_id, int* row, int* col, int* row_stride, int* col_stride) { const LayoutType::iterator it = layout_.find(IntPairToLong(row_block_id, col_block_id)); if (it == layout_.end()) { return NULL; } *row = 0; *col = 0; *row_stride = blocks_[row_block_id]; *col_stride = row_strides_[row_block_id]; return it->second; } // Assume that the user does not hold any locks on any cell blocks // when they are calling SetZero. void BlockRandomAccessCRSMatrix::SetZero() { crsm_->SetZero(); } } // namespace internal } // namespace ceres