• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2013 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 //
8 // * Redistributions of source code must retain the above copyright notice,
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
12 //   and/or other materials provided with the distribution.
13 // * Neither the name of Google Inc. nor the names of its contributors may be
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
19 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
20 // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
21 // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
22 // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
23 // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
24 // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
25 // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
26 // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
27 // POSSIBILITY OF SUCH DAMAGE.
28 //
29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 
31 #include <limits>
32 #include <vector>
33 
34 #include "ceres/block_random_access_diagonal_matrix.h"
35 #include "ceres/internal/eigen.h"
36 #include "glog/logging.h"
37 #include "gtest/gtest.h"
38 
39 namespace ceres {
40 namespace internal {
41 
TEST(BlockRandomAccessDiagonalMatrix,GetCell)42 TEST(BlockRandomAccessDiagonalMatrix, GetCell) {
43   vector<int> blocks;
44   blocks.push_back(3);
45   blocks.push_back(4);
46   blocks.push_back(5);
47   const int num_rows = 3 + 4 + 5;
48   const int num_nonzeros =  3 * 3 + 4 * 4 + 5 * 5;
49 
50   BlockRandomAccessDiagonalMatrix m(blocks);
51   EXPECT_EQ(m.num_rows(), num_rows);
52   EXPECT_EQ(m.num_cols(), num_rows);
53 
54   for (int i = 0; i < blocks.size(); ++i) {
55     const int row_block_id = i;
56     int col_block_id;
57     int row;
58     int col;
59     int row_stride;
60     int col_stride;
61 
62     for (int j = 0; j < blocks.size(); ++j) {
63       col_block_id = j;
64       CellInfo* cell =  m.GetCell(row_block_id, col_block_id,
65                                   &row, &col,
66                                   &row_stride, &col_stride);
67       // Off diagonal entries are not present.
68       if (i != j) {
69         EXPECT_TRUE(cell == NULL);
70         continue;
71       }
72 
73       EXPECT_TRUE(cell != NULL);
74       EXPECT_EQ(row, 0);
75       EXPECT_EQ(col, 0);
76       EXPECT_EQ(row_stride, blocks[row_block_id]);
77       EXPECT_EQ(col_stride, blocks[col_block_id]);
78 
79       // Write into the block
80       MatrixRef(cell->values, row_stride, col_stride).block(
81           row, col, blocks[row_block_id], blocks[col_block_id]) =
82           (row_block_id + 1) * (col_block_id +1) *
83           Matrix::Ones(blocks[row_block_id], blocks[col_block_id]);
84     }
85   }
86 
87   const TripletSparseMatrix* tsm = m.matrix();
88   EXPECT_EQ(tsm->num_nonzeros(), num_nonzeros);
89   EXPECT_EQ(tsm->max_num_nonzeros(), num_nonzeros);
90 
91   Matrix dense;
92   tsm->ToDenseMatrix(&dense);
93 
94   double kTolerance = 1e-14;
95 
96   // (0,0)
97   EXPECT_NEAR((dense.block(0, 0, 3, 3) - Matrix::Ones(3, 3)).norm(),
98               0.0,
99               kTolerance);
100 
101   // (1,1)
102   EXPECT_NEAR((dense.block(3, 3, 4, 4) - 2 * 2 * Matrix::Ones(4, 4)).norm(),
103               0.0,
104               kTolerance);
105 
106   // (1,1)
107   EXPECT_NEAR((dense.block(7, 7, 5, 5) - 3 * 3 * Matrix::Ones(5, 5)).norm(),
108               0.0,
109               kTolerance);
110 
111   // There is nothing else in the matrix besides these four blocks.
112   EXPECT_NEAR(dense.norm(), sqrt(9.0 + 16. * 16. + 81.0 * 25.), kTolerance);
113 }
114 
115 }  // namespace internal
116 }  // namespace ceres
117