| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2015 Google Inc. All rights reserved. |
| // http://ceres-solver.org/ |
| // |
| // 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: sameeragarwal@google.com (Sameer Agarwal) |
| |
| #include "ceres/cost_function_to_functor.h" |
| #include "ceres/dynamic_autodiff_cost_function.h" |
| #include "ceres/dynamic_cost_function_to_functor.h" |
| #include "ceres/autodiff_cost_function.h" |
| #include "gtest/gtest.h" |
| |
| namespace ceres { |
| namespace internal { |
| |
| using std::vector; |
| const double kTolerance = 1e-18; |
| |
| void ExpectCostFunctionsAreEqual(const CostFunction& cost_function, |
| const CostFunction& actual_cost_function) { |
| EXPECT_EQ(cost_function.num_residuals(), |
| actual_cost_function.num_residuals()); |
| const int num_residuals = cost_function.num_residuals(); |
| const vector<int32>& parameter_block_sizes = |
| cost_function.parameter_block_sizes(); |
| const vector<int32>& actual_parameter_block_sizes = |
| actual_cost_function.parameter_block_sizes(); |
| EXPECT_EQ(parameter_block_sizes.size(), |
| actual_parameter_block_sizes.size()); |
| |
| int num_parameters = 0; |
| for (int i = 0; i < parameter_block_sizes.size(); ++i) { |
| EXPECT_EQ(parameter_block_sizes[i], actual_parameter_block_sizes[i]); |
| num_parameters += parameter_block_sizes[i]; |
| } |
| |
| scoped_array<double> parameters(new double[num_parameters]); |
| for (int i = 0; i < num_parameters; ++i) { |
| parameters[i] = static_cast<double>(i) + 1.0; |
| } |
| |
| scoped_array<double> residuals(new double[num_residuals]); |
| scoped_array<double> jacobians(new double[num_parameters * num_residuals]); |
| |
| scoped_array<double> actual_residuals(new double[num_residuals]); |
| scoped_array<double> actual_jacobians |
| (new double[num_parameters * num_residuals]); |
| |
| scoped_array<double*> parameter_blocks( |
| new double*[parameter_block_sizes.size()]); |
| scoped_array<double*> jacobian_blocks( |
| new double*[parameter_block_sizes.size()]); |
| scoped_array<double*> actual_jacobian_blocks( |
| new double*[parameter_block_sizes.size()]); |
| |
| num_parameters = 0; |
| for (int i = 0; i < parameter_block_sizes.size(); ++i) { |
| parameter_blocks[i] = parameters.get() + num_parameters; |
| jacobian_blocks[i] = jacobians.get() + num_parameters * num_residuals; |
| actual_jacobian_blocks[i] = |
| actual_jacobians.get() + num_parameters * num_residuals; |
| num_parameters += parameter_block_sizes[i]; |
| } |
| |
| EXPECT_TRUE(cost_function.Evaluate(parameter_blocks.get(), |
| residuals.get(), NULL)); |
| EXPECT_TRUE(actual_cost_function.Evaluate(parameter_blocks.get(), |
| actual_residuals.get(), NULL)); |
| for (int i = 0; i < num_residuals; ++i) { |
| EXPECT_NEAR(residuals[i], actual_residuals[i], kTolerance) |
| << "residual id: " << i; |
| } |
| |
| |
| EXPECT_TRUE(cost_function.Evaluate(parameter_blocks.get(), |
| residuals.get(), |
| jacobian_blocks.get())); |
| EXPECT_TRUE(actual_cost_function.Evaluate(parameter_blocks.get(), |
| actual_residuals.get(), |
| actual_jacobian_blocks.get())); |
| for (int i = 0; i < num_residuals; ++i) { |
| EXPECT_NEAR(residuals[i], actual_residuals[i], kTolerance) |
| << "residual : " << i; |
| } |
| |
| for (int i = 0; i < num_residuals * num_parameters; ++i) { |
| EXPECT_NEAR(jacobians[i], actual_jacobians[i], kTolerance) |
| << "jacobian : " << i << " " |
| << jacobians[i] << " " << actual_jacobians[i]; |
| } |
| } |
| |
| struct OneParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, T* residuals) const { |
| residuals[0] = x1[0] * x1[0]; |
| residuals[1] = x1[1] * x1[1]; |
| return true; |
| } |
| }; |
| |
| struct TwoParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1]; |
| return true; |
| } |
| }; |
| |
| struct ThreeParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1]; |
| return true; |
| } |
| }; |
| |
| struct FourParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1]; |
| return true; |
| } |
| }; |
| |
| struct FiveParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1]; |
| return true; |
| } |
| }; |
| |
| struct SixParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, const T* x6, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0] + x6[0] * x6[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1] + x6[1] * x6[1]; |
| return true; |
| } |
| }; |
| |
| struct SevenParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, const T* x6, const T* x7, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0] + x6[0] * x6[0] + x7[0] * x7[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1] + x6[1] * x6[1] + x7[1] * x7[1]; |
| return true; |
| } |
| }; |
| |
| struct EightParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, const T* x6, const T* x7, const T* x8, |
| T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0] + x6[0] * x6[0] + x7[0] * x7[0] |
| + x8[0] * x8[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1] + x6[1] * x6[1] + x7[1] * x7[1] |
| + x8[1] * x8[1]; |
| return true; |
| } |
| }; |
| |
| struct NineParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, const T* x6, const T* x7, const T* x8, |
| const T* x9, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0] + x6[0] * x6[0] + x7[0] * x7[0] |
| + x8[0] * x8[0] + x9[0] * x9[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1] + x6[1] * x6[1] + x7[1] * x7[1] |
| + x8[1] * x8[1] + x9[1] * x9[1]; |
| return true; |
| } |
| }; |
| |
| struct TenParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(const T* x1, const T* x2, const T* x3, const T* x4, |
| const T* x5, const T* x6, const T* x7, const T* x8, |
| const T* x9, const T* x10, T* residuals) const { |
| residuals[0] = x1[0] * x1[0] + x2[0] * x2[0] + x3[0] * x3[0] |
| + x4[0] * x4[0] + x5[0] * x5[0] + x6[0] * x6[0] + x7[0] * x7[0] |
| + x8[0] * x8[0] + x9[0] * x9[0] + x10[0] * x10[0]; |
| residuals[1] = x1[1] * x1[1] + x2[1] * x2[1] + x3[1] * x3[1] |
| + x4[1] * x4[1] + x5[1] * x5[1] + x6[1] * x6[1] + x7[1] * x7[1] |
| + x8[1] * x8[1] + x9[1] * x9[1] + x10[1] * x10[1]; |
| return true; |
| } |
| }; |
| |
| class DynamicTwoParameterBlockFunctor { |
| public: |
| template <typename T> |
| bool operator()(T const* const* parameters, T* residuals) const { |
| for (int i = 0; i < 2; ++i) { |
| residuals[0] = parameters[i][0] * parameters[i][0]; |
| residuals[1] = parameters[i][1] * parameters[i][1]; |
| } |
| return true; |
| } |
| }; |
| |
| #define TEST_BODY(NAME) \ |
| TEST(CostFunctionToFunctor, NAME) { \ |
| scoped_ptr<CostFunction> cost_function( \ |
| new AutoDiffCostFunction< \ |
| CostFunctionToFunctor<2, PARAMETER_BLOCK_SIZES >, \ |
| 2, PARAMETER_BLOCK_SIZES>(new CostFunctionToFunctor< \ |
| 2, PARAMETER_BLOCK_SIZES >( \ |
| new AutoDiffCostFunction< \ |
| NAME##Functor, 2, PARAMETER_BLOCK_SIZES >( \ |
| new NAME##Functor)))); \ |
| \ |
| scoped_ptr<CostFunction> actual_cost_function( \ |
| new AutoDiffCostFunction<NAME##Functor, 2, PARAMETER_BLOCK_SIZES >( \ |
| new NAME##Functor)); \ |
| ExpectCostFunctionsAreEqual(*cost_function, *actual_cost_function); \ |
| } |
| |
| #define PARAMETER_BLOCK_SIZES 2 |
| TEST_BODY(OneParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2 |
| TEST_BODY(TwoParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2 |
| TEST_BODY(ThreeParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2 |
| TEST_BODY(FourParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2 |
| TEST_BODY(FiveParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2,2 |
| TEST_BODY(SixParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2,2,2 |
| TEST_BODY(SevenParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2,2,2,2 |
| TEST_BODY(EightParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2,2,2,2,2 |
| TEST_BODY(NineParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #define PARAMETER_BLOCK_SIZES 2,2,2,2,2,2,2,2,2,2 |
| TEST_BODY(TenParameterBlock) |
| #undef PARAMETER_BLOCK_SIZES |
| |
| #undef TEST_BODY |
| |
| TEST(CostFunctionToFunctor, DynamicNumberOfResiduals) { |
| scoped_ptr<CostFunction> cost_function( |
| new AutoDiffCostFunction< |
| CostFunctionToFunctor<ceres::DYNAMIC, 2, 2 >, ceres::DYNAMIC, 2, 2>( |
| new CostFunctionToFunctor<ceres::DYNAMIC, 2, 2 >( |
| new AutoDiffCostFunction<TwoParameterBlockFunctor, 2, 2, 2 >( |
| new TwoParameterBlockFunctor)), 2)); |
| |
| scoped_ptr<CostFunction> actual_cost_function( |
| new AutoDiffCostFunction<TwoParameterBlockFunctor, 2, 2, 2 >( |
| new TwoParameterBlockFunctor)); |
| ExpectCostFunctionsAreEqual(*cost_function, *actual_cost_function); |
| } |
| |
| TEST(CostFunctionToFunctor, DynamicCostFunctionToFunctor) { |
| DynamicAutoDiffCostFunction<DynamicTwoParameterBlockFunctor>* |
| actual_cost_function( |
| new DynamicAutoDiffCostFunction<DynamicTwoParameterBlockFunctor>( |
| new DynamicTwoParameterBlockFunctor)); |
| actual_cost_function->AddParameterBlock(2); |
| actual_cost_function->AddParameterBlock(2); |
| actual_cost_function->SetNumResiduals(2); |
| |
| DynamicAutoDiffCostFunction<DynamicCostFunctionToFunctor> cost_function( |
| new DynamicCostFunctionToFunctor(actual_cost_function)); |
| cost_function.AddParameterBlock(2); |
| cost_function.AddParameterBlock(2); |
| cost_function.SetNumResiduals(2); |
| |
| ExpectCostFunctionsAreEqual(cost_function, *actual_cost_function); |
| } |
| |
| } // namespace internal |
| } // namespace ceres |
