1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2014 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 "gtest/gtest.h"
32 #include "ceres/autodiff_cost_function.h"
33 #include "ceres/linear_solver.h"
34 #include "ceres/ordered_groups.h"
35 #include "ceres/parameter_block.h"
36 #include "ceres/problem_impl.h"
37 #include "ceres/program.h"
38 #include "ceres/residual_block.h"
39 #include "ceres/solver_impl.h"
40 #include "ceres/sized_cost_function.h"
41 
42 namespace ceres {
43 namespace internal {
44 
45 // The parameters must be in separate blocks so that they can be individually
46 // set constant or not.
47 struct Quadratic4DCostFunction {
operator ()ceres::internal::Quadratic4DCostFunction48   template <typename T> bool operator()(const T* const x,
49                                         const T* const y,
50                                         const T* const z,
51                                         const T* const w,
52                                         T* residual) const {
53     // A 4-dimension axis-aligned quadratic.
54     residual[0] = T(10.0) - *x +
55                   T(20.0) - *y +
56                   T(30.0) - *z +
57                   T(40.0) - *w;
58     return true;
59   }
60 };
61 
TEST(SolverImpl,ConstantParameterBlocksDoNotChangeAndStateInvariantKept)62 TEST(SolverImpl, ConstantParameterBlocksDoNotChangeAndStateInvariantKept) {
63   double x = 50.0;
64   double y = 50.0;
65   double z = 50.0;
66   double w = 50.0;
67   const double original_x = 50.0;
68   const double original_y = 50.0;
69   const double original_z = 50.0;
70   const double original_w = 50.0;
71 
72   scoped_ptr<CostFunction> cost_function(
73       new AutoDiffCostFunction<Quadratic4DCostFunction, 1, 1, 1, 1, 1>(
74           new Quadratic4DCostFunction));
75 
76   Problem::Options problem_options;
77   problem_options.cost_function_ownership = DO_NOT_TAKE_OWNERSHIP;
78 
79   ProblemImpl problem(problem_options);
80   problem.AddResidualBlock(cost_function.get(), NULL, &x, &y, &z, &w);
81   problem.SetParameterBlockConstant(&x);
82   problem.SetParameterBlockConstant(&w);
83 
84   Solver::Options options;
85   options.linear_solver_type = DENSE_QR;
86 
87   Solver::Summary summary;
88   SolverImpl::Solve(options, &problem, &summary);
89 
90   // Verify only the non-constant parameters were mutated.
91   EXPECT_EQ(original_x, x);
92   EXPECT_NE(original_y, y);
93   EXPECT_NE(original_z, z);
94   EXPECT_EQ(original_w, w);
95 
96   // Check that the parameter block state pointers are pointing back at the
97   // user state, instead of inside a random temporary vector made by Solve().
98   EXPECT_EQ(&x, problem.program().parameter_blocks()[0]->state());
99   EXPECT_EQ(&y, problem.program().parameter_blocks()[1]->state());
100   EXPECT_EQ(&z, problem.program().parameter_blocks()[2]->state());
101   EXPECT_EQ(&w, problem.program().parameter_blocks()[3]->state());
102 
103   EXPECT_TRUE(problem.program().IsValid());
104 }
105 
106 }  // namespace internal
107 }  // namespace ceres
108