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https://github.com/ceres-solver/ceres-solver.git
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db2af1be87
Simplify the semantics for Problem::EvaluateResidualBlock to not ignore the presence of EvaluationCallback and add another method EvaluateResidualBlockAssumingParametersUnchanged to handle the case where the user has an EvaluationCallback but knows that the parameter blocks do not change between calls. Updated the documentation for the methods and EvaluationCallback to reflect these semantics. Also added tests for Evaluation related methods calling i EvaluationCallback when its present. https://github.com/ceres-solver/ceres-solver/issues/483 Change-Id: If0a0c95c2f1f92e9183a90df240104a69a71c46d
217 lines
8.5 KiB
C++
217 lines
8.5 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2019 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: keir@google.com (Keir Mierle)
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//
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// This is the implementation of the public Problem API. The pointer to
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// implementation (PIMPL) idiom makes it possible for Ceres internal code to
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// refer to the private data members without needing to exposing it to the
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// world. An alternative to PIMPL is to have a factory which returns instances
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// of a virtual base class; while that approach would work, it requires clients
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// to always put a Problem object into a scoped pointer; this needlessly muddies
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// client code for little benefit. Therefore, the PIMPL comprise was chosen.
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#ifndef CERES_PUBLIC_PROBLEM_IMPL_H_
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#define CERES_PUBLIC_PROBLEM_IMPL_H_
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#include <array>
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#include <map>
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#include <memory>
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#include <unordered_set>
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#include <vector>
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#include "ceres/context_impl.h"
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#include "ceres/internal/port.h"
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#include "ceres/problem.h"
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#include "ceres/types.h"
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namespace ceres {
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class CostFunction;
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class EvaluationCallback;
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class LossFunction;
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class LocalParameterization;
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struct CRSMatrix;
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namespace internal {
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class Program;
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class ResidualBlock;
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class ProblemImpl {
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public:
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typedef std::map<double*, ParameterBlock*> ParameterMap;
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typedef std::unordered_set<ResidualBlock*> ResidualBlockSet;
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typedef std::map<CostFunction*, int> CostFunctionRefCount;
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typedef std::map<LossFunction*, int> LossFunctionRefCount;
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ProblemImpl();
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explicit ProblemImpl(const Problem::Options& options);
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ProblemImpl(const ProblemImpl&) = delete;
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void operator=(const ProblemImpl&) = delete;
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~ProblemImpl();
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// See the public problem.h file for description of these methods.
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* const* const parameter_blocks,
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int num_parameter_blocks);
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template <typename... Ts>
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0,
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Ts*... xs) {
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const std::array<double*, sizeof...(Ts) + 1> parameter_blocks{{x0, xs...}};
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return AddResidualBlock(cost_function,
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loss_function,
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parameter_blocks.data(),
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static_cast<int>(parameter_blocks.size()));
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}
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void AddParameterBlock(double* values, int size);
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void AddParameterBlock(double* values,
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int size,
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LocalParameterization* local_parameterization);
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void RemoveResidualBlock(ResidualBlock* residual_block);
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void RemoveParameterBlock(const double* values);
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void SetParameterBlockConstant(const double* values);
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void SetParameterBlockVariable(double* values);
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bool IsParameterBlockConstant(const double* values) const;
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void SetParameterization(double* values,
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LocalParameterization* local_parameterization);
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const LocalParameterization* GetParameterization(const double* values) const;
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void SetParameterLowerBound(double* values, int index, double lower_bound);
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void SetParameterUpperBound(double* values, int index, double upper_bound);
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double GetParameterLowerBound(const double* values, int index) const;
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double GetParameterUpperBound(const double* values, int index) const;
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bool Evaluate(const Problem::EvaluateOptions& options,
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double* cost,
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std::vector<double>* residuals,
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std::vector<double>* gradient,
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CRSMatrix* jacobian);
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bool EvaluateResidualBlock(ResidualBlock* residual_block,
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bool apply_loss_function,
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bool new_point,
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double* cost,
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double* residuals,
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double** jacobians) const;
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int NumParameterBlocks() const;
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int NumParameters() const;
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int NumResidualBlocks() const;
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int NumResiduals() const;
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int ParameterBlockSize(const double* parameter_block) const;
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int ParameterBlockLocalSize(const double* parameter_block) const;
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bool HasParameterBlock(const double* parameter_block) const;
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void GetParameterBlocks(std::vector<double*>* parameter_blocks) const;
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void GetResidualBlocks(std::vector<ResidualBlockId>* residual_blocks) const;
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void GetParameterBlocksForResidualBlock(
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const ResidualBlockId residual_block,
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std::vector<double*>* parameter_blocks) const;
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const CostFunction* GetCostFunctionForResidualBlock(
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const ResidualBlockId residual_block) const;
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const LossFunction* GetLossFunctionForResidualBlock(
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const ResidualBlockId residual_block) const;
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void GetResidualBlocksForParameterBlock(
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const double* values,
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std::vector<ResidualBlockId>* residual_blocks) const;
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const Program& program() const { return *program_; }
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Program* mutable_program() { return program_.get(); }
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const ParameterMap& parameter_map() const { return parameter_block_map_; }
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const ResidualBlockSet& residual_block_set() const {
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CHECK(options_.enable_fast_removal)
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<< "Fast removal not enabled, residual_block_set is not maintained.";
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return residual_block_set_;
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}
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ContextImpl* context() { return context_impl_; }
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private:
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ParameterBlock* InternalAddParameterBlock(double* values, int size);
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void InternalRemoveResidualBlock(ResidualBlock* residual_block);
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// Delete the arguments in question. These differ from the Remove* functions
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// in that they do not clean up references to the block to delete; they
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// merely delete them.
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template <typename Block>
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void DeleteBlockInVector(std::vector<Block*>* mutable_blocks,
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Block* block_to_remove);
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void DeleteBlock(ResidualBlock* residual_block);
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void DeleteBlock(ParameterBlock* parameter_block);
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const Problem::Options options_;
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bool context_impl_owned_;
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ContextImpl* context_impl_;
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// The mapping from user pointers to parameter blocks.
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ParameterMap parameter_block_map_;
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// Iff enable_fast_removal is enabled, contains the current residual blocks.
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ResidualBlockSet residual_block_set_;
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// The actual parameter and residual blocks.
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std::unique_ptr<internal::Program> program_;
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// When removing parameter blocks, parameterizations have ambiguous
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// ownership. Instead of scanning the entire problem to see if the
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// parameterization is shared with other parameter blocks, buffer
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// them until destruction.
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//
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// TODO(keir): See if it makes sense to use sets instead.
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std::vector<LocalParameterization*> local_parameterizations_to_delete_;
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// For each cost function and loss function in the problem, a count
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// of the number of residual blocks that refer to them. When the
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// count goes to zero and the problem owns these objects, they are
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// destroyed.
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CostFunctionRefCount cost_function_ref_count_;
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LossFunctionRefCount loss_function_ref_count_;
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};
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} // namespace internal
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} // namespace ceres
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#endif // CERES_PUBLIC_PROBLEM_IMPL_H_
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