| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161 | // 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: mierle@gmail.com (Keir Mierle)//         sameeragarwal@google.com (Sameer Agarwal)//         thadh@gmail.com (Thad Hughes)//         tbennun@gmail.com (Tal Ben-Nun)#ifndef CERES_PUBLIC_DYNAMIC_NUMERIC_DIFF_COST_FUNCTION_H_#define CERES_PUBLIC_DYNAMIC_NUMERIC_DIFF_COST_FUNCTION_H_#include <cmath>#include <memory>#include <numeric>#include <vector>#include "ceres/dynamic_cost_function.h"#include "ceres/internal/eigen.h"#include "ceres/internal/numeric_diff.h"#include "ceres/internal/parameter_dims.h"#include "ceres/numeric_diff_options.h"#include "glog/logging.h"namespace ceres {// This numeric diff implementation differs from the one found in// numeric_diff_cost_function.h by supporting numericdiff on cost// functions with variable numbers of parameters with variable// sizes. With the other implementation, all the sizes (both the// number of parameter blocks and the size of each block) must be// fixed at compile time.//// The functor API differs slightly from the API for fixed size// numeric diff; the expected interface for the cost functors is:////   struct MyCostFunctor {//     bool operator()(double const* const* parameters, double* residuals) const {//       // Use parameters[i] to access the i'th parameter block.//     }//   }//// Since the sizing of the parameters is done at runtime, you must// also specify the sizes after creating the// DynamicNumericDiffCostFunction. For example:////   DynamicAutoDiffCostFunction<MyCostFunctor, CENTRAL> cost_function(//       new MyCostFunctor());//   cost_function.AddParameterBlock(5);//   cost_function.AddParameterBlock(10);//   cost_function.SetNumResiduals(21);template <typename CostFunctor, NumericDiffMethodType method = CENTRAL>class DynamicNumericDiffCostFunction : public DynamicCostFunction { public:  explicit DynamicNumericDiffCostFunction(      const CostFunctor* functor,      Ownership ownership = TAKE_OWNERSHIP,      const NumericDiffOptions& options = NumericDiffOptions())      : functor_(functor),        ownership_(ownership),        options_(options) {  }  virtual ~DynamicNumericDiffCostFunction() {    if (ownership_ != TAKE_OWNERSHIP) {      functor_.release();    }  }  bool Evaluate(double const* const* parameters,                double* residuals,                double** jacobians) const override {    using internal::NumericDiff;    CHECK_GT(num_residuals(), 0)        << "You must call DynamicNumericDiffCostFunction::SetNumResiduals() "        << "before DynamicNumericDiffCostFunction::Evaluate().";    const std::vector<int32_t>& block_sizes = parameter_block_sizes();    CHECK(!block_sizes.empty())        << "You must call DynamicNumericDiffCostFunction::AddParameterBlock() "        << "before DynamicNumericDiffCostFunction::Evaluate().";    const bool status =        internal::VariadicEvaluate<internal::DynamicParameterDims>(            *functor_.get(),            parameters,            residuals);    if (jacobians == NULL || !status) {      return status;    }    // Create local space for a copy of the parameters which will get mutated.    int parameters_size = accumulate(block_sizes.begin(), block_sizes.end(), 0);    std::vector<double> parameters_copy(parameters_size);    std::vector<double*> parameters_references_copy(block_sizes.size());    parameters_references_copy[0] = ¶meters_copy[0];    for (size_t block = 1; block < block_sizes.size(); ++block) {      parameters_references_copy[block] = parameters_references_copy[block - 1]          + block_sizes[block - 1];    }    // Copy the parameters into the local temp space.    for (size_t block = 0; block < block_sizes.size(); ++block) {      memcpy(parameters_references_copy[block],             parameters[block],             block_sizes[block] * sizeof(*parameters[block]));    }    for (size_t block = 0; block < block_sizes.size(); ++block) {      if (jacobians[block] != NULL &&          !NumericDiff<CostFunctor, method, ceres::DYNAMIC,                       internal::DynamicParameterDims, ceres::DYNAMIC,                       ceres::DYNAMIC>::              EvaluateJacobianForParameterBlock(                  functor_.get(),                  residuals,                  options_,                  this->num_residuals(),                  block,                  block_sizes[block],                  ¶meters_references_copy[0],                  jacobians[block])) {        return false;      }    }    return true;  } private:  std::unique_ptr<const CostFunctor> functor_;  Ownership ownership_;  NumericDiffOptions options_;};}  // namespace ceres#endif  // CERES_PUBLIC_DYNAMIC_AUTODIFF_COST_FUNCTION_H_
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