|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2022 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/block_jacobian_writer.h" | 
|  |  | 
|  | #include <algorithm> | 
|  | #include <memory> | 
|  |  | 
|  | #include "ceres/block_evaluate_preparer.h" | 
|  | #include "ceres/block_sparse_matrix.h" | 
|  | #include "ceres/internal/eigen.h" | 
|  | #include "ceres/internal/export.h" | 
|  | #include "ceres/parameter_block.h" | 
|  | #include "ceres/program.h" | 
|  | #include "ceres/residual_block.h" | 
|  |  | 
|  | namespace ceres::internal { | 
|  |  | 
|  | using std::vector; | 
|  |  | 
|  | namespace { | 
|  |  | 
|  | // Given the residual block ordering, build a lookup table to determine which | 
|  | // per-parameter jacobian goes where in the overall program jacobian. | 
|  | // | 
|  | // Since we expect to use a Schur type linear solver to solve the LM step, take | 
|  | // extra care to place the E blocks and the F blocks contiguously. E blocks are | 
|  | // the first num_eliminate_blocks parameter blocks as indicated by the parameter | 
|  | // block ordering. The remaining parameter blocks are the F blocks. | 
|  | // | 
|  | // TODO(keir): Consider if we should use a boolean for each parameter block | 
|  | // instead of num_eliminate_blocks. | 
|  | void BuildJacobianLayout(const Program& program, | 
|  | int num_eliminate_blocks, | 
|  | vector<int*>* jacobian_layout, | 
|  | vector<int>* jacobian_layout_storage) { | 
|  | const vector<ResidualBlock*>& residual_blocks = program.residual_blocks(); | 
|  |  | 
|  | // Iterate over all the active residual blocks and determine how many E blocks | 
|  | // are there. This will determine where the F blocks start in the jacobian | 
|  | // matrix. Also compute the number of jacobian blocks. | 
|  | int f_block_pos = 0; | 
|  | int num_jacobian_blocks = 0; | 
|  | for (auto* residual_block : residual_blocks) { | 
|  | const int num_residuals = residual_block->NumResiduals(); | 
|  | const int num_parameter_blocks = residual_block->NumParameterBlocks(); | 
|  |  | 
|  | // Advance f_block_pos over each E block for this residual. | 
|  | for (int j = 0; j < num_parameter_blocks; ++j) { | 
|  | ParameterBlock* parameter_block = residual_block->parameter_blocks()[j]; | 
|  | if (!parameter_block->IsConstant()) { | 
|  | // Only count blocks for active parameters. | 
|  | num_jacobian_blocks++; | 
|  | if (parameter_block->index() < num_eliminate_blocks) { | 
|  | f_block_pos += num_residuals * parameter_block->TangentSize(); | 
|  | } | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | // We now know that the E blocks are laid out starting at zero, and the F | 
|  | // blocks are laid out starting at f_block_pos. Iterate over the residual | 
|  | // blocks again, and this time fill the jacobian_layout array with the | 
|  | // position information. | 
|  |  | 
|  | jacobian_layout->resize(program.NumResidualBlocks()); | 
|  | jacobian_layout_storage->resize(num_jacobian_blocks); | 
|  |  | 
|  | int e_block_pos = 0; | 
|  | int* jacobian_pos = &(*jacobian_layout_storage)[0]; | 
|  | for (int i = 0; i < residual_blocks.size(); ++i) { | 
|  | const ResidualBlock* residual_block = residual_blocks[i]; | 
|  | const int num_residuals = residual_block->NumResiduals(); | 
|  | const int num_parameter_blocks = residual_block->NumParameterBlocks(); | 
|  |  | 
|  | (*jacobian_layout)[i] = jacobian_pos; | 
|  | for (int j = 0; j < num_parameter_blocks; ++j) { | 
|  | ParameterBlock* parameter_block = residual_block->parameter_blocks()[j]; | 
|  | const int parameter_block_index = parameter_block->index(); | 
|  | if (parameter_block->IsConstant()) { | 
|  | continue; | 
|  | } | 
|  | const int jacobian_block_size = | 
|  | num_residuals * parameter_block->TangentSize(); | 
|  | if (parameter_block_index < num_eliminate_blocks) { | 
|  | *jacobian_pos = e_block_pos; | 
|  | e_block_pos += jacobian_block_size; | 
|  | } else { | 
|  | *jacobian_pos = f_block_pos; | 
|  | f_block_pos += jacobian_block_size; | 
|  | } | 
|  | jacobian_pos++; | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | }  // namespace | 
|  |  | 
|  | BlockJacobianWriter::BlockJacobianWriter(const Evaluator::Options& options, | 
|  | Program* program) | 
|  | : program_(program) { | 
|  | CHECK_GE(options.num_eliminate_blocks, 0) | 
|  | << "num_eliminate_blocks must be greater than 0."; | 
|  |  | 
|  | BuildJacobianLayout(*program, | 
|  | options.num_eliminate_blocks, | 
|  | &jacobian_layout_, | 
|  | &jacobian_layout_storage_); | 
|  | } | 
|  |  | 
|  | // Create evaluate prepareres that point directly into the final jacobian. This | 
|  | // makes the final Write() a nop. | 
|  | std::unique_ptr<BlockEvaluatePreparer[]> | 
|  | BlockJacobianWriter::CreateEvaluatePreparers(int num_threads) { | 
|  | int max_derivatives_per_residual_block = | 
|  | program_->MaxDerivativesPerResidualBlock(); | 
|  |  | 
|  | auto preparers = std::make_unique<BlockEvaluatePreparer[]>(num_threads); | 
|  | for (int i = 0; i < num_threads; i++) { | 
|  | preparers[i].Init(&jacobian_layout_[0], max_derivatives_per_residual_block); | 
|  | } | 
|  | return preparers; | 
|  | } | 
|  |  | 
|  | std::unique_ptr<SparseMatrix> BlockJacobianWriter::CreateJacobian() const { | 
|  | auto* bs = new CompressedRowBlockStructure; | 
|  |  | 
|  | const vector<ParameterBlock*>& parameter_blocks = | 
|  | program_->parameter_blocks(); | 
|  |  | 
|  | // Construct the column blocks. | 
|  | bs->cols.resize(parameter_blocks.size()); | 
|  | for (int i = 0, cursor = 0; i < parameter_blocks.size(); ++i) { | 
|  | CHECK_NE(parameter_blocks[i]->index(), -1); | 
|  | CHECK(!parameter_blocks[i]->IsConstant()); | 
|  | bs->cols[i].size = parameter_blocks[i]->TangentSize(); | 
|  | bs->cols[i].position = cursor; | 
|  | cursor += bs->cols[i].size; | 
|  | } | 
|  |  | 
|  | // Construct the cells in each row. | 
|  | const vector<ResidualBlock*>& residual_blocks = program_->residual_blocks(); | 
|  | int row_block_position = 0; | 
|  | bs->rows.resize(residual_blocks.size()); | 
|  | for (int i = 0; i < residual_blocks.size(); ++i) { | 
|  | const ResidualBlock* residual_block = residual_blocks[i]; | 
|  | CompressedRow* row = &bs->rows[i]; | 
|  |  | 
|  | row->block.size = residual_block->NumResiduals(); | 
|  | row->block.position = row_block_position; | 
|  | row_block_position += row->block.size; | 
|  |  | 
|  | // Size the row by the number of active parameters in this residual. | 
|  | const int num_parameter_blocks = residual_block->NumParameterBlocks(); | 
|  | int num_active_parameter_blocks = 0; | 
|  | for (int j = 0; j < num_parameter_blocks; ++j) { | 
|  | if (residual_block->parameter_blocks()[j]->index() != -1) { | 
|  | num_active_parameter_blocks++; | 
|  | } | 
|  | } | 
|  | row->cells.resize(num_active_parameter_blocks); | 
|  |  | 
|  | // Add layout information for the active parameters in this row. | 
|  | for (int j = 0, k = 0; j < num_parameter_blocks; ++j) { | 
|  | const ParameterBlock* parameter_block = | 
|  | residual_block->parameter_blocks()[j]; | 
|  | if (!parameter_block->IsConstant()) { | 
|  | Cell& cell = row->cells[k]; | 
|  | cell.block_id = parameter_block->index(); | 
|  | cell.position = jacobian_layout_[i][k]; | 
|  |  | 
|  | // Only increment k for active parameters, since there is only layout | 
|  | // information for active parameters. | 
|  | k++; | 
|  | } | 
|  | } | 
|  |  | 
|  | std::sort(row->cells.begin(), row->cells.end(), CellLessThan); | 
|  | } | 
|  |  | 
|  | return std::make_unique<BlockSparseMatrix>(bs); | 
|  | } | 
|  |  | 
|  | }  // namespace ceres::internal |