// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2015 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: keir@google.com (Keir Mierle) // // A jacobian writer that writes to dense Eigen matrices. #ifndef CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_ #define CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_ #include "ceres/casts.h" #include "ceres/dense_sparse_matrix.h" #include "ceres/parameter_block.h" #include "ceres/program.h" #include "ceres/residual_block.h" #include "ceres/scratch_evaluate_preparer.h" #include "ceres/internal/eigen.h" namespace ceres { namespace internal { class DenseJacobianWriter { public: DenseJacobianWriter(Evaluator::Options /* ignored */, Program* program) : program_(program) { } // JacobianWriter interface. // Since the dense matrix has different layout than that assumed by the cost // functions, use scratch space to store the jacobians temporarily then copy // them over to the larger jacobian later. ScratchEvaluatePreparer* CreateEvaluatePreparers(int num_threads) { return ScratchEvaluatePreparer::Create(*program_, num_threads); } SparseMatrix* CreateJacobian() const { return new DenseSparseMatrix(program_->NumResiduals(), program_->NumEffectiveParameters(), true); } void Write(int residual_id, int residual_offset, double **jacobians, SparseMatrix* jacobian) { DenseSparseMatrix* dense_jacobian = down_cast(jacobian); const ResidualBlock* residual_block = program_->residual_blocks()[residual_id]; int num_parameter_blocks = residual_block->NumParameterBlocks(); int num_residuals = residual_block->NumResiduals(); // Now copy the jacobians for each parameter into the dense jacobian matrix. for (int j = 0; j < num_parameter_blocks; ++j) { ParameterBlock* parameter_block = residual_block->parameter_blocks()[j]; // If the parameter block is fixed, then there is nothing to do. if (parameter_block->IsConstant()) { continue; } const int parameter_block_size = parameter_block->LocalSize(); ConstMatrixRef parameter_jacobian(jacobians[j], num_residuals, parameter_block_size); dense_jacobian->mutable_matrix().block( residual_offset, parameter_block->delta_offset(), num_residuals, parameter_block_size) = parameter_jacobian; } } private: Program* program_; }; } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_