// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2010, 2011, 2012 Google Inc. All rights reserved. // http://code.google.com/p/ceres-solver/ // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // * Neither the name of Google Inc. nor the names of its contributors may be // used to endorse or promote products derived from this software without // specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: keir@google.com (Keir Mierle) #include "ceres/numeric_diff_cost_function.h" #include <algorithm> #include <cmath> #include <string> #include <vector> #include "ceres/internal/macros.h" #include "ceres/internal/scoped_ptr.h" #include "ceres/numeric_diff_test_utils.h" #include "ceres/test_util.h" #include "ceres/types.h" #include "glog/logging.h" #include "gtest/gtest.h" namespace ceres { namespace internal { TEST(NumericDiffCostFunction, EasyCaseFunctorCentralDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<EasyFunctor, CENTRAL, 3, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new EasyFunctor)); EasyFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); } TEST(NumericDiffCostFunction, EasyCaseFunctorForwardDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<EasyFunctor, FORWARD, 3, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new EasyFunctor)); EasyFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, FORWARD); } TEST(NumericDiffCostFunction, EasyCaseCostFunctionCentralDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<EasyCostFunction, CENTRAL, 3, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new EasyCostFunction, TAKE_OWNERSHIP)); EasyFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); } TEST(NumericDiffCostFunction, EasyCaseCostFunctionForwardDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<EasyCostFunction, FORWARD, 3, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new EasyCostFunction, TAKE_OWNERSHIP)); EasyFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, FORWARD); } TEST(NumericDiffCostFunction, TranscendentalCaseFunctorCentralDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<TranscendentalFunctor, CENTRAL, 2, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new TranscendentalFunctor)); TranscendentalFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); } TEST(NumericDiffCostFunction, TranscendentalCaseFunctorForwardDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<TranscendentalFunctor, FORWARD, 2, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new TranscendentalFunctor)); TranscendentalFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, FORWARD); } TEST(NumericDiffCostFunction, TranscendentalCaseCostFunctionCentralDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<TranscendentalCostFunction, CENTRAL, 2, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new TranscendentalCostFunction, TAKE_OWNERSHIP)); TranscendentalFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); } TEST(NumericDiffCostFunction, TranscendentalCaseCostFunctionForwardDifferences) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<TranscendentalCostFunction, FORWARD, 2, /* number of residuals */ 5, /* size of x1 */ 5 /* size of x2 */>( new TranscendentalCostFunction, TAKE_OWNERSHIP)); TranscendentalFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, FORWARD); } template<int num_rows, int num_cols> class SizeTestingCostFunction : public SizedCostFunction<num_rows, num_cols> { public: virtual bool Evaluate(double const* const* parameters, double* residuals, double** jacobians) const { return true; } }; // As described in // http://forum.kde.org/viewtopic.php?f=74&t=98536#p210774 // Eigen3 has restrictions on the Row/Column major storage of vectors, // depending on their dimensions. This test ensures that the correct // templates are instantiated for various shapes of the Jacobian // matrix. TEST(NumericDiffCostFunction, EigenRowMajorColMajorTest) { scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<SizeTestingCostFunction<1,1>, CENTRAL, 1, 1>( new SizeTestingCostFunction<1,1>, ceres::TAKE_OWNERSHIP)); cost_function.reset( new NumericDiffCostFunction<SizeTestingCostFunction<2,1>, CENTRAL, 2, 1>( new SizeTestingCostFunction<2,1>, ceres::TAKE_OWNERSHIP)); cost_function.reset( new NumericDiffCostFunction<SizeTestingCostFunction<1,2>, CENTRAL, 1, 2>( new SizeTestingCostFunction<1,2>, ceres::TAKE_OWNERSHIP)); cost_function.reset( new NumericDiffCostFunction<SizeTestingCostFunction<2,2>, CENTRAL, 2, 2>( new SizeTestingCostFunction<2,2>, ceres::TAKE_OWNERSHIP)); } TEST(NumericDiffCostFunction, EasyCaseFunctorCentralDifferencesAndDynamicNumResiduals) { internal::scoped_ptr<CostFunction> cost_function; cost_function.reset( new NumericDiffCostFunction<EasyFunctor, CENTRAL, ceres::DYNAMIC, 5, /* size of x1 */ 5 /* size of x2 */>( new EasyFunctor, TAKE_OWNERSHIP, 3)); EasyFunctor functor; functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function, CENTRAL); } } // namespace internal } // namespace ceres