Imported Upstream version ceres 1.13.0
[platform/upstream/ceres-solver.git] / internal / ceres / conditioned_cost_function.cc
1 // Ceres Solver - A fast non-linear least squares minimizer
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29 // Author: wjr@google.com (William Rucklidge)
30 //
31 // This file contains the implementation of the conditioned cost function.
32
33 #include "ceres/conditioned_cost_function.h"
34
35 #include <cstddef>
36
37 #include "ceres/internal/eigen.h"
38 #include "ceres/stl_util.h"
39 #include "ceres/types.h"
40 #include "glog/logging.h"
41
42 namespace ceres {
43
44 // This cost function has the same dimensions (parameters, residuals) as
45 // the one it's wrapping.
46 ConditionedCostFunction::ConditionedCostFunction(
47     CostFunction* wrapped_cost_function,
48     const std::vector<CostFunction*>& conditioners,
49     Ownership ownership)
50     : wrapped_cost_function_(wrapped_cost_function),
51       conditioners_(conditioners),
52       ownership_(ownership) {
53   // Set up our dimensions.
54   set_num_residuals(wrapped_cost_function_->num_residuals());
55   *mutable_parameter_block_sizes() =
56       wrapped_cost_function_->parameter_block_sizes();
57
58   // Sanity-check the conditioners' dimensions.
59   CHECK_EQ(wrapped_cost_function_->num_residuals(), conditioners_.size());
60   for (int i = 0; i < wrapped_cost_function_->num_residuals(); i++) {
61     if (conditioners[i]) {
62       CHECK_EQ(1, conditioners[i]->num_residuals());
63       CHECK_EQ(1, conditioners[i]->parameter_block_sizes().size());
64       CHECK_EQ(1, conditioners[i]->parameter_block_sizes()[0]);
65     }
66   }
67 }
68
69 ConditionedCostFunction::~ConditionedCostFunction() {
70   if (ownership_ == TAKE_OWNERSHIP) {
71     STLDeleteElements(&conditioners_);
72   } else {
73     wrapped_cost_function_.release();
74   }
75 }
76
77 bool ConditionedCostFunction::Evaluate(double const* const* parameters,
78                                        double* residuals,
79                                        double** jacobians) const {
80   bool success = wrapped_cost_function_->Evaluate(parameters, residuals,
81                                                   jacobians);
82   if (!success) {
83     return false;
84   }
85
86   for (int r = 0; r < wrapped_cost_function_->num_residuals(); r++) {
87     // On output, we want to have
88     // residuals[r] = conditioners[r](wrapped_residuals[r])
89     // For parameter block i, column c,
90     // jacobians[i][r*parameter_block_size_[i] + c] =
91     //   = d residual[r] / d parameters[i][c]
92     //   = conditioners[r]'(wrapped_residuals[r]) *
93     //       d wrapped_residuals[r] / d parameters[i][c]
94     if (conditioners_[r]) {
95       double conditioner_derivative;
96       double* conditioner_derivative_pointer = &conditioner_derivative;
97       double** conditioner_derivative_pointer2 =
98           &conditioner_derivative_pointer;
99       if (!jacobians) {
100         conditioner_derivative_pointer2 = NULL;
101       }
102
103       double unconditioned_residual = residuals[r];
104       double* parameter_pointer = &unconditioned_residual;
105       success = conditioners_[r]->Evaluate(&parameter_pointer,
106                                            &residuals[r],
107                                            conditioner_derivative_pointer2);
108       if (!success) {
109         return false;
110       }
111
112       if (jacobians) {
113         for (int i = 0;
114              i < wrapped_cost_function_->parameter_block_sizes().size();
115              i++) {
116           if (jacobians[i]) {
117             int parameter_block_size =
118                 wrapped_cost_function_->parameter_block_sizes()[i];
119             VectorRef jacobian_row(jacobians[i] + r * parameter_block_size,
120                                    parameter_block_size, 1);
121             jacobian_row *= conditioner_derivative;
122           }
123         }
124       }
125     }
126   }
127   return true;
128 }
129
130 }  // namespace ceres