|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2023 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: keir@google.com (Keir Mierle) | 
|  | // | 
|  | // This is the implementation of the public Problem API. The pointer to | 
|  | // implementation (PIMPL) idiom makes it possible for Ceres internal code to | 
|  | // refer to the private data members without needing to exposing it to the | 
|  | // world. An alternative to PIMPL is to have a factory which returns instances | 
|  | // of a virtual base class; while that approach would work, it requires clients | 
|  | // to always put a Problem object into a scoped pointer; this needlessly muddies | 
|  | // client code for little benefit. Therefore, the PIMPL comprise was chosen. | 
|  |  | 
|  | #ifndef CERES_PUBLIC_PROBLEM_IMPL_H_ | 
|  | #define CERES_PUBLIC_PROBLEM_IMPL_H_ | 
|  |  | 
|  | #include <array> | 
|  | #include <map> | 
|  | #include <memory> | 
|  | #include <unordered_map> | 
|  | #include <unordered_set> | 
|  | #include <vector> | 
|  |  | 
|  | #include "ceres/context_impl.h" | 
|  | #include "ceres/internal/disable_warnings.h" | 
|  | #include "ceres/internal/export.h" | 
|  | #include "ceres/internal/port.h" | 
|  | #include "ceres/manifold.h" | 
|  | #include "ceres/problem.h" | 
|  | #include "ceres/types.h" | 
|  |  | 
|  | namespace ceres { | 
|  |  | 
|  | class CostFunction; | 
|  | class EvaluationCallback; | 
|  | class LossFunction; | 
|  | struct CRSMatrix; | 
|  |  | 
|  | namespace internal { | 
|  |  | 
|  | class Program; | 
|  | class ResidualBlock; | 
|  |  | 
|  | class CERES_NO_EXPORT ProblemImpl { | 
|  | public: | 
|  | using ParameterMap = std::map<double*, ParameterBlock*>; | 
|  | using ResidualBlockSet = std::unordered_set<ResidualBlock*>; | 
|  | using CostFunctionRefCount = std::map<CostFunction*, int>; | 
|  | using LossFunctionRefCount = std::map<LossFunction*, int>; | 
|  |  | 
|  | ProblemImpl(); | 
|  | explicit ProblemImpl(const Problem::Options& options); | 
|  | ProblemImpl(const ProblemImpl&) = delete; | 
|  | void operator=(const ProblemImpl&) = delete; | 
|  |  | 
|  | ~ProblemImpl(); | 
|  |  | 
|  | // See the public problem.h file for description of these methods. | 
|  | ResidualBlockId AddResidualBlock(CostFunction* cost_function, | 
|  | LossFunction* loss_function, | 
|  | double* const* const parameter_blocks, | 
|  | int num_parameter_blocks); | 
|  |  | 
|  | template <typename... Ts> | 
|  | ResidualBlockId AddResidualBlock(CostFunction* cost_function, | 
|  | LossFunction* loss_function, | 
|  | double* x0, | 
|  | Ts*... xs) { | 
|  | const std::array<double*, sizeof...(Ts) + 1> parameter_blocks{{x0, xs...}}; | 
|  | return AddResidualBlock(cost_function, | 
|  | loss_function, | 
|  | parameter_blocks.data(), | 
|  | static_cast<int>(parameter_blocks.size())); | 
|  | } | 
|  |  | 
|  | void AddParameterBlock(double* values, int size); | 
|  | void AddParameterBlock(double* values, int size, Manifold* manifold); | 
|  |  | 
|  | void RemoveResidualBlock(ResidualBlock* residual_block); | 
|  | void RemoveParameterBlock(const double* values); | 
|  |  | 
|  | void SetParameterBlockConstant(const double* values); | 
|  | void SetParameterBlockVariable(double* values); | 
|  | bool IsParameterBlockConstant(const double* values) const; | 
|  |  | 
|  | void SetManifold(double* values, Manifold* manifold); | 
|  | const Manifold* GetManifold(const double* values) const; | 
|  | bool HasManifold(const double* values) const; | 
|  |  | 
|  | void SetParameterLowerBound(double* values, int index, double lower_bound); | 
|  | void SetParameterUpperBound(double* values, int index, double upper_bound); | 
|  | double GetParameterLowerBound(const double* values, int index) const; | 
|  | double GetParameterUpperBound(const double* values, int index) const; | 
|  |  | 
|  | bool Evaluate(const Problem::EvaluateOptions& options, | 
|  | double* cost, | 
|  | std::vector<double>* residuals, | 
|  | std::vector<double>* gradient, | 
|  | CRSMatrix* jacobian); | 
|  |  | 
|  | bool EvaluateResidualBlock(ResidualBlock* residual_block, | 
|  | bool apply_loss_function, | 
|  | bool new_point, | 
|  | double* cost, | 
|  | double* residuals, | 
|  | double** jacobians) const; | 
|  |  | 
|  | int NumParameterBlocks() const; | 
|  | int NumParameters() const; | 
|  | int NumResidualBlocks() const; | 
|  | int NumResiduals() const; | 
|  |  | 
|  | int ParameterBlockSize(const double* values) const; | 
|  | int ParameterBlockTangentSize(const double* values) const; | 
|  |  | 
|  | bool HasParameterBlock(const double* values) const; | 
|  |  | 
|  | void GetParameterBlocks(std::vector<double*>* parameter_blocks) const; | 
|  | void GetResidualBlocks(std::vector<ResidualBlockId>* residual_blocks) const; | 
|  |  | 
|  | void GetParameterBlocksForResidualBlock( | 
|  | const ResidualBlockId residual_block, | 
|  | std::vector<double*>* parameter_blocks) const; | 
|  |  | 
|  | const CostFunction* GetCostFunctionForResidualBlock( | 
|  | const ResidualBlockId residual_block) const; | 
|  | const LossFunction* GetLossFunctionForResidualBlock( | 
|  | const ResidualBlockId residual_block) const; | 
|  |  | 
|  | void GetResidualBlocksForParameterBlock( | 
|  | const double* values, | 
|  | std::vector<ResidualBlockId>* residual_blocks) const; | 
|  |  | 
|  | const Program& program() const { return *program_; } | 
|  | Program* mutable_program() { return program_.get(); } | 
|  |  | 
|  | const ParameterMap& parameter_map() const { return parameter_block_map_; } | 
|  | const ResidualBlockSet& residual_block_set() const { | 
|  | CHECK(options_.enable_fast_removal) | 
|  | << "Fast removal not enabled, residual_block_set is not maintained."; | 
|  | return residual_block_set_; | 
|  | } | 
|  |  | 
|  | const Problem::Options& options() const { return options_; } | 
|  |  | 
|  | ContextImpl* context() { return context_impl_; } | 
|  |  | 
|  | private: | 
|  | ParameterBlock* InternalAddParameterBlock(double* values, int size); | 
|  | void InternalSetManifold(double* values, | 
|  | ParameterBlock* parameter_block, | 
|  | Manifold* manifold); | 
|  |  | 
|  | void InternalRemoveResidualBlock(ResidualBlock* residual_block); | 
|  |  | 
|  | // Delete the arguments in question. These differ from the Remove* functions | 
|  | // in that they do not clean up references to the block to delete; they | 
|  | // merely delete them. | 
|  | template <typename Block> | 
|  | void DeleteBlockInVector(std::vector<Block*>* mutable_blocks, | 
|  | Block* block_to_remove); | 
|  | void DeleteBlock(ResidualBlock* residual_block); | 
|  | void DeleteBlock(ParameterBlock* parameter_block); | 
|  |  | 
|  | const Problem::Options options_; | 
|  |  | 
|  | bool context_impl_owned_; | 
|  | ContextImpl* context_impl_; | 
|  |  | 
|  | // The mapping from user pointers to parameter blocks. | 
|  | ParameterMap parameter_block_map_; | 
|  |  | 
|  | // Iff enable_fast_removal is enabled, contains the current residual blocks. | 
|  | ResidualBlockSet residual_block_set_; | 
|  |  | 
|  | // The actual parameter and residual blocks. | 
|  | std::unique_ptr<internal::Program> program_; | 
|  |  | 
|  | // TODO(sameeragarwal): Unify the shared object handling across object types. | 
|  | // Right now we are using vectors for Manifold objects and reference counting | 
|  | // for CostFunctions and LossFunctions. Ideally this should be done uniformly. | 
|  |  | 
|  | // When removing parameter blocks, manifolds have ambiguous | 
|  | // ownership. Instead of scanning the entire problem to see if the | 
|  | // manifold is shared with other parameter blocks, buffer | 
|  | // them until destruction. | 
|  | std::vector<Manifold*> manifolds_to_delete_; | 
|  |  | 
|  | // For each cost function and loss function in the problem, a count | 
|  | // of the number of residual blocks that refer to them. When the | 
|  | // count goes to zero and the problem owns these objects, they are | 
|  | // destroyed. | 
|  | CostFunctionRefCount cost_function_ref_count_; | 
|  | LossFunctionRefCount loss_function_ref_count_; | 
|  | }; | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres | 
|  |  | 
|  | #include "ceres/internal/reenable_warnings.h" | 
|  |  | 
|  | #endif  // CERES_PUBLIC_PROBLEM_IMPL_H_ |