1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
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29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 
31 #include <cmath>
32 #include <limits>
33 #include "gtest/gtest.h"
34 #include "ceres/parameter_block.h"
35 #include "ceres/residual_block.h"
36 #include "ceres/residual_block_utils.h"
37 #include "ceres/cost_function.h"
38 #include "ceres/internal/scoped_ptr.h"
39 #include "ceres/sized_cost_function.h"
40 
41 namespace ceres {
42 namespace internal {
43 
44 // Routine to check if ResidualBlock::Evaluate for unary CostFunction
45 // with one residual succeeds with true or dies.
CheckEvaluation(const CostFunction & cost_function,bool is_good)46 void CheckEvaluation(const CostFunction& cost_function, bool is_good) {
47   double x = 1.0;
48   ParameterBlock parameter_block(&x, 1, -1);
49   vector<ParameterBlock*> parameter_blocks;
50   parameter_blocks.push_back(&parameter_block);
51 
52   ResidualBlock residual_block(&cost_function,
53                                NULL,
54                                parameter_blocks,
55                                -1);
56 
57   scoped_array<double> scratch(
58       new double[residual_block.NumScratchDoublesForEvaluate()]);
59 
60   double cost;
61   double residuals;
62   double jacobian;
63   double* jacobians[] = { &jacobian };
64 
65   EXPECT_EQ(residual_block.Evaluate(true,
66                                     &cost,
67                                     &residuals,
68                                     jacobians,
69                                     scratch.get()), is_good);
70 }
71 
72 // A CostFunction that behaves normaly, i.e., it computes numerically
73 // valid residuals and jacobians.
74 class GoodCostFunction: public SizedCostFunction<1, 1> {
75  public:
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const76   virtual bool Evaluate(double const* const* parameters,
77                         double* residuals,
78                         double** jacobians) const {
79     residuals[0] = 1;
80     if (jacobians != NULL && jacobians[0] != NULL) {
81       jacobians[0][0] = 0.0;
82     }
83     return true;
84   }
85 };
86 
87 // The following four CostFunctions simulate the different ways in
88 // which user code can cause ResidualBlock::Evaluate to fail.
89 class NoResidualUpdateCostFunction: public SizedCostFunction<1, 1> {
90  public:
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const91   virtual bool Evaluate(double const* const* parameters,
92                         double* residuals,
93                         double** jacobians) const {
94     // Forget to update the residuals.
95     // residuals[0] = 1;
96     if (jacobians != NULL && jacobians[0] != NULL) {
97       jacobians[0][0] = 0.0;
98     }
99     return true;
100   }
101 };
102 
103 class NoJacobianUpdateCostFunction: public SizedCostFunction<1, 1> {
104  public:
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const105   virtual bool Evaluate(double const* const* parameters,
106                         double* residuals,
107                         double** jacobians) const {
108     residuals[0] = 1;
109     if (jacobians != NULL && jacobians[0] != NULL) {
110       // Forget to update the jacobians.
111       // jacobians[0][0] = 0.0;
112     }
113     return true;
114   }
115 };
116 
117 class BadResidualCostFunction: public SizedCostFunction<1, 1> {
118  public:
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const119   virtual bool Evaluate(double const* const* parameters,
120                         double* residuals,
121                         double** jacobians) const {
122     residuals[0] = std::numeric_limits<double>::infinity();
123     if (jacobians != NULL && jacobians[0] != NULL) {
124       jacobians[0][0] = 0.0;
125     }
126     return true;
127   }
128 };
129 
130 class BadJacobianCostFunction: public SizedCostFunction<1, 1> {
131  public:
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const132   virtual bool Evaluate(double const* const* parameters,
133                         double* residuals,
134                         double** jacobians) const {
135     residuals[0] = 1.0;
136     if (jacobians != NULL && jacobians[0] != NULL) {
137       jacobians[0][0] = std::numeric_limits<double>::quiet_NaN();
138     }
139     return true;
140   }
141 };
142 
143 // Note: It is preferable to write the below test as:
144 //
145 //  CheckEvaluation(GoodCostFunction(), true);
146 //  CheckEvaluation(NoResidualUpdateCostFunction(), false);
147 //  CheckEvaluation(NoJacobianUpdateCostFunction(), false);
148 //  ...
149 //
150 // however, there is a bug in the version of GCC on Mac OS X we tested, which
151 // requires the objects get put into local variables instead of getting
152 // instantiated on the stack.
TEST(ResidualBlockUtils,CheckAllCombinationsOfBadness)153 TEST(ResidualBlockUtils, CheckAllCombinationsOfBadness) {
154   GoodCostFunction good_fun;
155   CheckEvaluation(good_fun, true);
156   NoResidualUpdateCostFunction no_residual;
157   CheckEvaluation(no_residual, false);
158   NoJacobianUpdateCostFunction no_jacobian;
159   CheckEvaluation(no_jacobian, false);
160   BadResidualCostFunction bad_residual;
161   CheckEvaluation(bad_residual, false);
162   BadJacobianCostFunction bad_jacobian;
163   CheckEvaluation(bad_jacobian, false);
164 }
165 
166 }  // namespace internal
167 }  // namespace ceres
168