| // 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: keir@google.com (Keir Mierle) |
| |
| #include "ceres/scratch_evaluate_preparer.h" |
| |
| #include "ceres/parameter_block.h" |
| #include "ceres/program.h" |
| #include "ceres/residual_block.h" |
| |
| namespace ceres { |
| namespace internal { |
| |
| ScratchEvaluatePreparer* ScratchEvaluatePreparer::Create( |
| const Program &program, |
| int num_threads) { |
| ScratchEvaluatePreparer* preparers = new ScratchEvaluatePreparer[num_threads]; |
| int max_derivatives_per_residual_block = |
| program.MaxDerivativesPerResidualBlock(); |
| for (int i = 0; i < num_threads; i++) { |
| preparers[i].Init(max_derivatives_per_residual_block); |
| } |
| return preparers; |
| } |
| |
| void ScratchEvaluatePreparer::Init(int max_derivatives_per_residual_block) { |
| jacobian_scratch_.reset( |
| new double[max_derivatives_per_residual_block]); |
| } |
| |
| // Point the jacobian blocks into the scratch area of this evaluate preparer. |
| void ScratchEvaluatePreparer::Prepare(const ResidualBlock* residual_block, |
| int /* residual_block_index */, |
| SparseMatrix* /* jacobian */, |
| double** jacobians) { |
| double* jacobian_block_cursor = jacobian_scratch_.get(); |
| int num_residuals = residual_block->NumResiduals(); |
| int num_parameter_blocks = residual_block->NumParameterBlocks(); |
| for (int j = 0; j < num_parameter_blocks; ++j) { |
| const ParameterBlock* parameter_block = |
| residual_block->parameter_blocks()[j]; |
| if (parameter_block->IsConstant()) { |
| jacobians[j] = NULL; |
| } else { |
| jacobians[j] = jacobian_block_cursor; |
| jacobian_block_cursor += num_residuals * parameter_block->LocalSize(); |
| } |
| } |
| } |
| |
| } // namespace internal |
| } // namespace ceres |