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Austin Schuh70cc9552019-01-21 19:46:48 -08001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2015 Google Inc. All rights reserved.
3// http://ceres-solver.org/
4//
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16//
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28//
29// Author: keir@google.com (Keir Mierle)
30//
31// A jacobian writer that writes to dense Eigen matrices.
32
33#ifndef CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_
34#define CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_
35
36#include "ceres/casts.h"
37#include "ceres/dense_sparse_matrix.h"
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080038#include "ceres/internal/eigen.h"
Austin Schuh70cc9552019-01-21 19:46:48 -080039#include "ceres/parameter_block.h"
40#include "ceres/program.h"
41#include "ceres/residual_block.h"
42#include "ceres/scratch_evaluate_preparer.h"
Austin Schuh70cc9552019-01-21 19:46:48 -080043
44namespace ceres {
45namespace internal {
46
47class DenseJacobianWriter {
48 public:
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080049 DenseJacobianWriter(Evaluator::Options /* ignored */, Program* program)
50 : program_(program) {}
Austin Schuh70cc9552019-01-21 19:46:48 -080051
52 // JacobianWriter interface.
53
54 // Since the dense matrix has different layout than that assumed by the cost
55 // functions, use scratch space to store the jacobians temporarily then copy
56 // them over to the larger jacobian later.
57 ScratchEvaluatePreparer* CreateEvaluatePreparers(int num_threads) {
58 return ScratchEvaluatePreparer::Create(*program_, num_threads);
59 }
60
61 SparseMatrix* CreateJacobian() const {
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080062 return new DenseSparseMatrix(
63 program_->NumResiduals(), program_->NumEffectiveParameters(), true);
Austin Schuh70cc9552019-01-21 19:46:48 -080064 }
65
66 void Write(int residual_id,
67 int residual_offset,
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080068 double** jacobians,
Austin Schuh70cc9552019-01-21 19:46:48 -080069 SparseMatrix* jacobian) {
70 DenseSparseMatrix* dense_jacobian = down_cast<DenseSparseMatrix*>(jacobian);
71 const ResidualBlock* residual_block =
72 program_->residual_blocks()[residual_id];
73 int num_parameter_blocks = residual_block->NumParameterBlocks();
74 int num_residuals = residual_block->NumResiduals();
75
76 // Now copy the jacobians for each parameter into the dense jacobian matrix.
77 for (int j = 0; j < num_parameter_blocks; ++j) {
78 ParameterBlock* parameter_block = residual_block->parameter_blocks()[j];
79
80 // If the parameter block is fixed, then there is nothing to do.
81 if (parameter_block->IsConstant()) {
82 continue;
83 }
84
85 const int parameter_block_size = parameter_block->LocalSize();
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080086 ConstMatrixRef parameter_jacobian(
87 jacobians[j], num_residuals, parameter_block_size);
Austin Schuh70cc9552019-01-21 19:46:48 -080088
Austin Schuh1d1e6ea2020-12-23 21:56:30 -080089 dense_jacobian->mutable_matrix().block(residual_offset,
90 parameter_block->delta_offset(),
91 num_residuals,
92 parameter_block_size) =
93 parameter_jacobian;
Austin Schuh70cc9552019-01-21 19:46:48 -080094 }
95 }
96
97 private:
98 Program* program_;
99};
100
101} // namespace internal
102} // namespace ceres
103
104#endif // CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_