1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
3 // http://code.google.com/p/ceres-solver/
4 //
5 // Redistribution and use in source and binary forms, with or without
6 // modification, are permitted provided that the following conditions are met:
7 //
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9 // this list of conditions and the following disclaimer.
10 // * Redistributions in binary form must reproduce the above copyright notice,
11 // this list of conditions and the following disclaimer in the documentation
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14 // used to endorse or promote products derived from this software without
15 // specific prior written permission.
16 //
17 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18 // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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28 //
29 // Author: keir@google.com (Keir Mierle)
30
31 #include "ceres/block_jacobian_writer.h"
32
33 #include "ceres/block_evaluate_preparer.h"
34 #include "ceres/block_sparse_matrix.h"
35 #include "ceres/parameter_block.h"
36 #include "ceres/program.h"
37 #include "ceres/residual_block.h"
38 #include "ceres/internal/eigen.h"
39 #include "ceres/internal/port.h"
40 #include "ceres/internal/scoped_ptr.h"
41
42 namespace ceres {
43 namespace internal {
44 namespace {
45
46 // Given the residual block ordering, build a lookup table to determine which
47 // per-parameter jacobian goes where in the overall program jacobian.
48 //
49 // Since we expect to use a Schur type linear solver to solve the LM step, take
50 // extra care to place the E blocks and the F blocks contiguously. E blocks are
51 // the first num_eliminate_blocks parameter blocks as indicated by the parameter
52 // block ordering. The remaining parameter blocks are the F blocks.
53 //
54 // TODO(keir): Consider if we should use a boolean for each parameter block
55 // instead of num_eliminate_blocks.
BuildJacobianLayout(const Program & program,int num_eliminate_blocks,vector<int * > * jacobian_layout,vector<int> * jacobian_layout_storage)56 void BuildJacobianLayout(const Program& program,
57 int num_eliminate_blocks,
58 vector<int*>* jacobian_layout,
59 vector<int>* jacobian_layout_storage) {
60 const vector<ResidualBlock*>& residual_blocks = program.residual_blocks();
61
62 // Iterate over all the active residual blocks and determine how many E blocks
63 // are there. This will determine where the F blocks start in the jacobian
64 // matrix. Also compute the number of jacobian blocks.
65 int f_block_pos = 0;
66 int num_jacobian_blocks = 0;
67 for (int i = 0; i < residual_blocks.size(); ++i) {
68 ResidualBlock* residual_block = residual_blocks[i];
69 const int num_residuals = residual_block->NumResiduals();
70 const int num_parameter_blocks = residual_block->NumParameterBlocks();
71
72 // Advance f_block_pos over each E block for this residual.
73 for (int j = 0; j < num_parameter_blocks; ++j) {
74 ParameterBlock* parameter_block = residual_block->parameter_blocks()[j];
75 if (!parameter_block->IsConstant()) {
76 // Only count blocks for active parameters.
77 num_jacobian_blocks++;
78 if (parameter_block->index() < num_eliminate_blocks) {
79 f_block_pos += num_residuals * parameter_block->LocalSize();
80 }
81 }
82 }
83 }
84
85 // We now know that the E blocks are laid out starting at zero, and the F
86 // blocks are laid out starting at f_block_pos. Iterate over the residual
87 // blocks again, and this time fill the jacobian_layout array with the
88 // position information.
89
90 jacobian_layout->resize(program.NumResidualBlocks());
91 jacobian_layout_storage->resize(num_jacobian_blocks);
92
93 int e_block_pos = 0;
94 int* jacobian_pos = &(*jacobian_layout_storage)[0];
95 for (int i = 0; i < residual_blocks.size(); ++i) {
96 const ResidualBlock* residual_block = residual_blocks[i];
97 const int num_residuals = residual_block->NumResiduals();
98 const int num_parameter_blocks = residual_block->NumParameterBlocks();
99
100 (*jacobian_layout)[i] = jacobian_pos;
101 for (int j = 0; j < num_parameter_blocks; ++j) {
102 ParameterBlock* parameter_block = residual_block->parameter_blocks()[j];
103 const int parameter_block_index = parameter_block->index();
104 if (parameter_block->IsConstant()) {
105 continue;
106 }
107 const int jacobian_block_size =
108 num_residuals * parameter_block->LocalSize();
109 if (parameter_block_index < num_eliminate_blocks) {
110 *jacobian_pos = e_block_pos;
111 e_block_pos += jacobian_block_size;
112 } else {
113 *jacobian_pos = f_block_pos;
114 f_block_pos += jacobian_block_size;
115 }
116 jacobian_pos++;
117 }
118 }
119 }
120
121 } // namespace
122
BlockJacobianWriter(const Evaluator::Options & options,Program * program)123 BlockJacobianWriter::BlockJacobianWriter(const Evaluator::Options& options,
124 Program* program)
125 : program_(program) {
126 CHECK_GE(options.num_eliminate_blocks, 0)
127 << "num_eliminate_blocks must be greater than 0.";
128
129 BuildJacobianLayout(*program,
130 options.num_eliminate_blocks,
131 &jacobian_layout_,
132 &jacobian_layout_storage_);
133 }
134
135 // Create evaluate prepareres that point directly into the final jacobian. This
136 // makes the final Write() a nop.
CreateEvaluatePreparers(int num_threads)137 BlockEvaluatePreparer* BlockJacobianWriter::CreateEvaluatePreparers(
138 int num_threads) {
139 int max_derivatives_per_residual_block =
140 program_->MaxDerivativesPerResidualBlock();
141
142 BlockEvaluatePreparer* preparers = new BlockEvaluatePreparer[num_threads];
143 for (int i = 0; i < num_threads; i++) {
144 preparers[i].Init(&jacobian_layout_[0], max_derivatives_per_residual_block);
145 }
146 return preparers;
147 }
148
CreateJacobian() const149 SparseMatrix* BlockJacobianWriter::CreateJacobian() const {
150 CompressedRowBlockStructure* bs = new CompressedRowBlockStructure;
151
152 const vector<ParameterBlock*>& parameter_blocks =
153 program_->parameter_blocks();
154
155 // Construct the column blocks.
156 bs->cols.resize(parameter_blocks.size());
157 for (int i = 0, cursor = 0; i < parameter_blocks.size(); ++i) {
158 CHECK_NE(parameter_blocks[i]->index(), -1);
159 CHECK(!parameter_blocks[i]->IsConstant());
160 bs->cols[i].size = parameter_blocks[i]->LocalSize();
161 bs->cols[i].position = cursor;
162 cursor += bs->cols[i].size;
163 }
164
165 // Construct the cells in each row.
166 const vector<ResidualBlock*>& residual_blocks =
167 program_->residual_blocks();
168 int row_block_position = 0;
169 bs->rows.resize(residual_blocks.size());
170 for (int i = 0; i < residual_blocks.size(); ++i) {
171 const ResidualBlock* residual_block = residual_blocks[i];
172 CompressedRow* row = &bs->rows[i];
173
174 row->block.size = residual_block->NumResiduals();
175 row->block.position = row_block_position;
176 row_block_position += row->block.size;
177
178 // Size the row by the number of active parameters in this residual.
179 const int num_parameter_blocks = residual_block->NumParameterBlocks();
180 int num_active_parameter_blocks = 0;
181 for (int j = 0; j < num_parameter_blocks; ++j) {
182 if (residual_block->parameter_blocks()[j]->index() != -1) {
183 num_active_parameter_blocks++;
184 }
185 }
186 row->cells.resize(num_active_parameter_blocks);
187
188 // Add layout information for the active parameters in this row.
189 for (int j = 0, k = 0; j < num_parameter_blocks; ++j) {
190 const ParameterBlock* parameter_block =
191 residual_block->parameter_blocks()[j];
192 if (!parameter_block->IsConstant()) {
193 Cell& cell = row->cells[k];
194 cell.block_id = parameter_block->index();
195 cell.position = jacobian_layout_[i][k];
196
197 // Only increment k for active parameters, since there is only layout
198 // information for active parameters.
199 k++;
200 }
201 }
202
203 sort(row->cells.begin(), row->cells.end(), CellLessThan);
204 }
205
206 BlockSparseMatrix* jacobian = new BlockSparseMatrix(bs);
207 CHECK_NOTNULL(jacobian);
208 return jacobian;
209 }
210
211 } // namespace internal
212 } // namespace ceres
213