|  | // 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 <memory> | 
|  | #include <vector> | 
|  |  | 
|  | #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 preparers that point directly into the final jacobian. | 
|  | // This makes the final Write() a nop. | 
|  | std::unique_ptr<BlockEvaluatePreparer[]> CreateEvaluatePreparers( | 
|  | unsigned num_threads); | 
|  |  | 
|  | std::unique_ptr<SparseMatrix> 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<int*> jacobian_layout_; | 
|  |  | 
|  | // The pointers in jacobian_layout_ point directly into this vector. | 
|  | std::vector<int> 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_ |