// 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 directly writes to compressed row sparse matrices. #ifndef CERES_INTERNAL_COMPRESSED_ROW_JACOBIAN_WRITER_H_ #define CERES_INTERNAL_COMPRESSED_ROW_JACOBIAN_WRITER_H_ #include #include #include "ceres/evaluator.h" #include "ceres/scratch_evaluate_preparer.h" namespace ceres { namespace internal { class CompressedRowSparseMatrix; class Program; class SparseMatrix; class CompressedRowJacobianWriter { public: CompressedRowJacobianWriter(Evaluator::Options /* ignored */, Program* program) : program_(program) { } // PopulateJacobianRowAndColumnBlockVectors sets col_blocks and // row_blocks for a CompressedRowSparseMatrix, based on the // parameter block sizes and residual sizes respectively from the // program. This is useful when Solver::Options::use_block_amd = // true; // // This function is static so that it is available to other jacobian // writers which use CompressedRowSparseMatrix (or derived types). // (Jacobian writers do not fall under any type hierarchy; they only // have to provide an interface as specified in program_evaluator.h). static void PopulateJacobianRowAndColumnBlockVectors( const Program* program, CompressedRowSparseMatrix* jacobian); // It is necessary to determine the order of the jacobian blocks // before copying them into a CompressedRowSparseMatrix (or derived // type). Just because a cost function uses parameter blocks 1 // after 2 in its arguments does not mean that the block 1 occurs // before block 2 in the column layout of the jacobian. Thus, // GetOrderedParameterBlocks determines the order by sorting the // jacobian blocks by their position in the state vector. // // This function is static so that it is available to other jacobian // writers which use CompressedRowSparseMatrix (or derived types). // (Jacobian writers do not fall under any type hierarchy; they only // have to provide an interface as specified in // program_evaluator.h). static void GetOrderedParameterBlocks( const Program* program, int residual_id, std::vector >* evaluated_jacobian_blocks); // JacobianWriter interface. // Since the compressed row 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 // in the Write() function. ScratchEvaluatePreparer* CreateEvaluatePreparers(int num_threads) { return ScratchEvaluatePreparer::Create(*program_, num_threads); } SparseMatrix* CreateJacobian() const; void Write(int residual_id, int residual_offset, double **jacobians, SparseMatrix* base_jacobian); private: Program* program_; }; } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_COMPRESSED_ROW_JACOBIAN_WRITER_H_