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      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/
      4 //
      5 // Redistribution and use in source and binary forms, with or without
      6 // modification, are permitted provided that the following conditions are met:
      7 //
      8 // * Redistributions of source code must retain the above copyright notice,
      9 //   this list of conditions and the following disclaimer.
     10 // * Redistributions in binary form must reproduce the above copyright notice,
     11 //   this list of conditions and the following disclaimer in the documentation
     12 //   and/or other materials provided with the distribution.
     13 // * Neither the name of Google Inc. nor the names of its contributors may be
     14 //   used to endorse or promote products derived from this software without
     15 //   specific prior written permission.
     16 //
     17 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
     18 // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
     19 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
     20 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
     21 // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
     22 // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
     23 // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
     24 // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
     25 // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
     26 // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
     27 // POSSIBILITY OF SUCH DAMAGE.
     28 //
     29 // Author: sameeragarwal (at) 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.
     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:
     76   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:
     91   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:
    105   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:
    119   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:
    132   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.
    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