// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2023 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 block sparse matrices. The "writer" name is // misleading, since the Write() operation on the block jacobian writer does not // write anything. Instead, the Prepare() method on the BlockEvaluatePreparers // makes a jacobians array which has direct pointers into the block sparse // jacobian. When the cost function is evaluated, the jacobian blocks get placed // directly in their final location. #ifndef CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_ #define CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_ #include #include #include "ceres/evaluator.h" #include "ceres/internal/export.h" namespace ceres::internal { class BlockEvaluatePreparer; class Program; class SparseMatrix; // TODO(sameeragarwal): This class needs documentation. class CERES_NO_EXPORT BlockJacobianWriter { public: // Pre-computes positions of cells in block-sparse jacobian. // Two possible memory layouts are implemented: // - Non-partitioned case // - Partitioned case (for Schur type linear solver) // // In non-partitioned case, cells are stored sequentially in the // lexicographic order of (row block id, column block id). // // In the case of partitoned matrix, cells of each sub-matrix (E and F) are // stored sequentially in the lexicographic order of (row block id, column // block id) and cells from E sub-matrix precede cells from F sub-matrix. BlockJacobianWriter(const Evaluator::Options& options, Program* program); // JacobianWriter interface. // Create evaluate prepareres that point directly into the final jacobian. // This makes the final Write() a nop. std::unique_ptr CreateEvaluatePreparers( unsigned num_threads); std::unique_ptr CreateJacobian() const; void Write(int /* residual_id */, int /* residual_offset */, double** /* jacobians */, SparseMatrix* /* jacobian */) { // This is a noop since the blocks were written directly into their final // position by the outside evaluate call, thanks to the jacobians array // prepared by the BlockEvaluatePreparers. } private: Evaluator::Options options_; Program* program_; // Stores the position of each residual / parameter jacobian. // // The block sparse matrix that this writer writes to is stored as a set of // contiguous dense blocks, one after each other; see BlockSparseMatrix. The // "double* values_" member of the block sparse matrix contains all of these // blocks. Given a pointer to the first element of a block and the size of // that block, it's possible to write to it. // // In the case of a block sparse jacobian, the jacobian writer needs a way to // find the offset in the values_ array of each residual/parameter jacobian // block. // // That is the purpose of jacobian_layout_. // // In particular, jacobian_layout_[i][j] is the offset in the values_ array of // the derivative of residual block i with respect to the parameter block at // active argument position j. // // The active qualifier means that non-active parameters do not count. Care // must be taken when indexing into jacobian_layout_ to account for this. // Consider a single residual example: // // r(x, y, z) // // with r in R^3, x in R^4, y in R^2, and z in R^5. // Take y as a constant (non-active) parameter. // Take r as residual number 0. // // In this case, the active arguments are only (x, z), so the active argument // position for x is 0, and the active argument position for z is 1. This is // similar to thinking of r as taking only 2 parameters: // // r(x, z) // // There are only 2 jacobian blocks: dr/dx and dr/dz. jacobian_layout_ would // have the following contents: // // jacobian_layout_[0] = { 0, 12 } // // which indicates that dr/dx is located at values_[0], and dr/dz is at // values_[12]. See BlockEvaluatePreparer::Prepare()'s comments about 'j'. std::vector jacobian_layout_; // The pointers in jacobian_layout_ point directly into this vector. std::vector jacobian_layout_storage_; // The constructor computes the layout of the Jacobian, and this bool keeps // track of whether the computation of the layout completed successfully or // not, if it is false, then jacobian_layout and jacobian_layout_storage are // both in an invalid state. bool jacobian_layout_is_valid_ = false; }; } // namespace ceres::internal #endif // CERES_INTERNAL_BLOCK_JACOBIAN_WRITER_H_