| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2019 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // | 
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 | // | 
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 | // POSSIBILITY OF SUCH DAMAGE. | 
 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #include "ceres/autodiff_cost_function.h" | 
 |  | 
 | #include <memory> | 
 |  | 
 | #include "ceres/array_utils.h" | 
 | #include "ceres/cost_function.h" | 
 | #include "gtest/gtest.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | class BinaryScalarCost { | 
 |  public: | 
 |   explicit BinaryScalarCost(double a) : a_(a) {} | 
 |   template <typename T> | 
 |   bool operator()(const T* const x, const T* const y, T* cost) const { | 
 |     cost[0] = x[0] * y[0] + x[1] * y[1] - T(a_); | 
 |     return true; | 
 |   } | 
 |  | 
 |  private: | 
 |   double a_; | 
 | }; | 
 |  | 
 | TEST(AutodiffCostFunction, BilinearDifferentiationTest) { | 
 |   CostFunction* cost_function = | 
 |       new AutoDiffCostFunction<BinaryScalarCost, 1, 2, 2>( | 
 |           new BinaryScalarCost(1.0)); | 
 |  | 
 |   double** parameters = new double*[2]; | 
 |   parameters[0] = new double[2]; | 
 |   parameters[1] = new double[2]; | 
 |  | 
 |   parameters[0][0] = 1; | 
 |   parameters[0][1] = 2; | 
 |  | 
 |   parameters[1][0] = 3; | 
 |   parameters[1][1] = 4; | 
 |  | 
 |   double** jacobians = new double*[2]; | 
 |   jacobians[0] = new double[2]; | 
 |   jacobians[1] = new double[2]; | 
 |  | 
 |   double residuals = 0.0; | 
 |  | 
 |   cost_function->Evaluate(parameters, &residuals, nullptr); | 
 |   EXPECT_EQ(10.0, residuals); | 
 |  | 
 |   cost_function->Evaluate(parameters, &residuals, jacobians); | 
 |   EXPECT_EQ(10.0, residuals); | 
 |  | 
 |   EXPECT_EQ(3, jacobians[0][0]); | 
 |   EXPECT_EQ(4, jacobians[0][1]); | 
 |   EXPECT_EQ(1, jacobians[1][0]); | 
 |   EXPECT_EQ(2, jacobians[1][1]); | 
 |  | 
 |   delete[] jacobians[0]; | 
 |   delete[] jacobians[1]; | 
 |   delete[] parameters[0]; | 
 |   delete[] parameters[1]; | 
 |   delete[] jacobians; | 
 |   delete[] parameters; | 
 |   delete cost_function; | 
 | } | 
 |  | 
 | struct TenParameterCost { | 
 |   template <typename T> | 
 |   bool operator()(const T* const x0, | 
 |                   const T* const x1, | 
 |                   const T* const x2, | 
 |                   const T* const x3, | 
 |                   const T* const x4, | 
 |                   const T* const x5, | 
 |                   const T* const x6, | 
 |                   const T* const x7, | 
 |                   const T* const x8, | 
 |                   const T* const x9, | 
 |                   T* cost) const { | 
 |     cost[0] = *x0 + *x1 + *x2 + *x3 + *x4 + *x5 + *x6 + *x7 + *x8 + *x9; | 
 |     return true; | 
 |   } | 
 | }; | 
 |  | 
 | TEST(AutodiffCostFunction, ManyParameterAutodiffInstantiates) { | 
 |   CostFunction* cost_function = | 
 |       new AutoDiffCostFunction<TenParameterCost, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1, | 
 |                                1>(new TenParameterCost); | 
 |  | 
 |   double** parameters = new double*[10]; | 
 |   double** jacobians = new double*[10]; | 
 |   for (int i = 0; i < 10; ++i) { | 
 |     parameters[i] = new double[1]; | 
 |     parameters[i][0] = i; | 
 |     jacobians[i] = new double[1]; | 
 |   } | 
 |  | 
 |   double residuals = 0.0; | 
 |  | 
 |   cost_function->Evaluate(parameters, &residuals, nullptr); | 
 |   EXPECT_EQ(45.0, residuals); | 
 |  | 
 |   cost_function->Evaluate(parameters, &residuals, jacobians); | 
 |   EXPECT_EQ(residuals, 45.0); | 
 |   for (int i = 0; i < 10; ++i) { | 
 |     EXPECT_EQ(1.0, jacobians[i][0]); | 
 |   } | 
 |  | 
 |   for (int i = 0; i < 10; ++i) { | 
 |     delete[] jacobians[i]; | 
 |     delete[] parameters[i]; | 
 |   } | 
 |   delete[] jacobians; | 
 |   delete[] parameters; | 
 |   delete cost_function; | 
 | } | 
 |  | 
 | struct OnlyFillsOneOutputFunctor { | 
 |   template <typename T> | 
 |   bool operator()(const T* x, T* output) const { | 
 |     output[0] = x[0]; | 
 |     return true; | 
 |   } | 
 | }; | 
 |  | 
 | TEST(AutoDiffCostFunction, PartiallyFilledResidualShouldFailEvaluation) { | 
 |   double parameter = 1.0; | 
 |   double jacobian[2]; | 
 |   double residuals[2]; | 
 |   double* parameters[] = {¶meter}; | 
 |   double* jacobians[] = {jacobian}; | 
 |  | 
 |   std::unique_ptr<CostFunction> cost_function( | 
 |       new AutoDiffCostFunction<OnlyFillsOneOutputFunctor, 2, 1>( | 
 |           new OnlyFillsOneOutputFunctor)); | 
 |   InvalidateArray(2, jacobian); | 
 |   InvalidateArray(2, residuals); | 
 |   EXPECT_TRUE(cost_function->Evaluate(parameters, residuals, jacobians)); | 
 |   EXPECT_FALSE(IsArrayValid(2, jacobian)); | 
 |   EXPECT_FALSE(IsArrayValid(2, residuals)); | 
 | } | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres |