triplet_sparse_matrix_test.cc 10 KB

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  1. // Ceres Solver - A fast non-linear least squares minimizer
  2. // Copyright 2023 Google Inc. All rights reserved.
  3. // http://ceres-solver.org/
  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. #include "ceres/triplet_sparse_matrix.h"
  31. #include <memory>
  32. #include "ceres/crs_matrix.h"
  33. #include "gtest/gtest.h"
  34. namespace ceres::internal {
  35. TEST(TripletSparseMatrix, DefaultConstructorReturnsEmptyObject) {
  36. TripletSparseMatrix m;
  37. EXPECT_EQ(m.num_rows(), 0);
  38. EXPECT_EQ(m.num_cols(), 0);
  39. EXPECT_EQ(m.num_nonzeros(), 0);
  40. EXPECT_EQ(m.max_num_nonzeros(), 0);
  41. }
  42. TEST(TripletSparseMatrix, SimpleConstructorAndBasicOperations) {
  43. // Build a matrix
  44. TripletSparseMatrix m(2, 5, 4);
  45. EXPECT_EQ(m.num_rows(), 2);
  46. EXPECT_EQ(m.num_cols(), 5);
  47. EXPECT_EQ(m.num_nonzeros(), 0);
  48. EXPECT_EQ(m.max_num_nonzeros(), 4);
  49. m.mutable_rows()[0] = 0;
  50. m.mutable_cols()[0] = 1;
  51. m.mutable_values()[0] = 2.5;
  52. m.mutable_rows()[1] = 1;
  53. m.mutable_cols()[1] = 4;
  54. m.mutable_values()[1] = 5.2;
  55. m.set_num_nonzeros(2);
  56. EXPECT_EQ(m.num_nonzeros(), 2);
  57. ASSERT_TRUE(m.AllTripletsWithinBounds());
  58. // We should never be able resize and lose data
  59. EXPECT_DEATH_IF_SUPPORTED(m.Reserve(1), "Reallocation will cause data loss");
  60. // We should be able to resize while preserving data
  61. m.Reserve(50);
  62. EXPECT_EQ(m.max_num_nonzeros(), 50);
  63. m.Reserve(3);
  64. EXPECT_EQ(m.max_num_nonzeros(), 50); // The space is already reserved.
  65. EXPECT_EQ(m.rows()[0], 0);
  66. EXPECT_EQ(m.rows()[1], 1);
  67. EXPECT_EQ(m.cols()[0], 1);
  68. EXPECT_EQ(m.cols()[1], 4);
  69. EXPECT_DOUBLE_EQ(m.values()[0], 2.5);
  70. EXPECT_DOUBLE_EQ(m.values()[1], 5.2);
  71. // Bounds check should fail
  72. m.mutable_rows()[0] = 10;
  73. EXPECT_FALSE(m.AllTripletsWithinBounds());
  74. m.mutable_rows()[0] = 1;
  75. m.mutable_cols()[0] = 100;
  76. EXPECT_FALSE(m.AllTripletsWithinBounds());
  77. // Remove all data and then resize the data store
  78. m.SetZero();
  79. EXPECT_EQ(m.num_nonzeros(), 0);
  80. m.Reserve(1);
  81. }
  82. TEST(TripletSparseMatrix, CopyConstructor) {
  83. TripletSparseMatrix orig(2, 5, 4);
  84. orig.mutable_rows()[0] = 0;
  85. orig.mutable_cols()[0] = 1;
  86. orig.mutable_values()[0] = 2.5;
  87. orig.mutable_rows()[1] = 1;
  88. orig.mutable_cols()[1] = 4;
  89. orig.mutable_values()[1] = 5.2;
  90. orig.set_num_nonzeros(2);
  91. TripletSparseMatrix cpy(orig);
  92. EXPECT_EQ(cpy.num_rows(), 2);
  93. EXPECT_EQ(cpy.num_cols(), 5);
  94. ASSERT_EQ(cpy.num_nonzeros(), 2);
  95. EXPECT_EQ(cpy.max_num_nonzeros(), 4);
  96. EXPECT_EQ(cpy.rows()[0], 0);
  97. EXPECT_EQ(cpy.rows()[1], 1);
  98. EXPECT_EQ(cpy.cols()[0], 1);
  99. EXPECT_EQ(cpy.cols()[1], 4);
  100. EXPECT_DOUBLE_EQ(cpy.values()[0], 2.5);
  101. EXPECT_DOUBLE_EQ(cpy.values()[1], 5.2);
  102. }
  103. TEST(TripletSparseMatrix, AssignmentOperator) {
  104. TripletSparseMatrix orig(2, 5, 4);
  105. orig.mutable_rows()[0] = 0;
  106. orig.mutable_cols()[0] = 1;
  107. orig.mutable_values()[0] = 2.5;
  108. orig.mutable_rows()[1] = 1;
  109. orig.mutable_cols()[1] = 4;
  110. orig.mutable_values()[1] = 5.2;
  111. orig.set_num_nonzeros(2);
  112. TripletSparseMatrix cpy(3, 50, 40);
  113. cpy.mutable_rows()[0] = 0;
  114. cpy.mutable_cols()[0] = 10;
  115. cpy.mutable_values()[0] = 10.22;
  116. cpy.mutable_rows()[1] = 2;
  117. cpy.mutable_cols()[1] = 23;
  118. cpy.mutable_values()[1] = 34.45;
  119. cpy.mutable_rows()[0] = 0;
  120. cpy.mutable_cols()[0] = 10;
  121. cpy.mutable_values()[0] = 10.22;
  122. cpy.mutable_rows()[1] = 0;
  123. cpy.mutable_cols()[1] = 3;
  124. cpy.mutable_values()[1] = 4.4;
  125. cpy.set_num_nonzeros(3);
  126. cpy = orig;
  127. EXPECT_EQ(cpy.num_rows(), 2);
  128. EXPECT_EQ(cpy.num_cols(), 5);
  129. ASSERT_EQ(cpy.num_nonzeros(), 2);
  130. EXPECT_EQ(cpy.max_num_nonzeros(), 4);
  131. EXPECT_EQ(cpy.rows()[0], 0);
  132. EXPECT_EQ(cpy.rows()[1], 1);
  133. EXPECT_EQ(cpy.cols()[0], 1);
  134. EXPECT_EQ(cpy.cols()[1], 4);
  135. EXPECT_DOUBLE_EQ(cpy.values()[0], 2.5);
  136. EXPECT_DOUBLE_EQ(cpy.values()[1], 5.2);
  137. }
  138. TEST(TripletSparseMatrix, AssignmentOperatorSelfAssignment) {
  139. TripletSparseMatrix orig(2, 5, 4);
  140. orig.mutable_rows()[0] = 0;
  141. orig.mutable_cols()[0] = 1;
  142. orig.mutable_values()[0] = 2.5;
  143. orig.mutable_rows()[1] = 1;
  144. orig.mutable_cols()[1] = 4;
  145. orig.mutable_values()[1] = 5.2;
  146. orig.set_num_nonzeros(2);
  147. // Who's on earth gonna do this?
  148. orig = orig;
  149. EXPECT_EQ(orig.num_rows(), 2);
  150. EXPECT_EQ(orig.num_cols(), 5);
  151. ASSERT_EQ(orig.num_nonzeros(), 2);
  152. EXPECT_EQ(orig.max_num_nonzeros(), 4);
  153. EXPECT_EQ(orig.rows()[0], 0);
  154. EXPECT_EQ(orig.rows()[1], 1);
  155. EXPECT_EQ(orig.cols()[0], 1);
  156. EXPECT_EQ(orig.cols()[1], 4);
  157. EXPECT_DOUBLE_EQ(orig.values()[0], 2.5);
  158. EXPECT_DOUBLE_EQ(orig.values()[1], 5.2);
  159. }
  160. TEST(TripletSparseMatrix, AppendRows) {
  161. // Build one matrix.
  162. TripletSparseMatrix m(2, 5, 4);
  163. m.mutable_rows()[0] = 0;
  164. m.mutable_cols()[0] = 1;
  165. m.mutable_values()[0] = 2.5;
  166. m.mutable_rows()[1] = 1;
  167. m.mutable_cols()[1] = 4;
  168. m.mutable_values()[1] = 5.2;
  169. m.set_num_nonzeros(2);
  170. // Build another matrix.
  171. TripletSparseMatrix a(10, 5, 4);
  172. a.mutable_rows()[0] = 0;
  173. a.mutable_cols()[0] = 1;
  174. a.mutable_values()[0] = 3.5;
  175. a.mutable_rows()[1] = 1;
  176. a.mutable_cols()[1] = 4;
  177. a.mutable_values()[1] = 6.2;
  178. a.mutable_rows()[2] = 9;
  179. a.mutable_cols()[2] = 5;
  180. a.mutable_values()[2] = 1;
  181. a.set_num_nonzeros(3);
  182. // Glue the second matrix to the bottom of the first.
  183. m.AppendRows(a);
  184. EXPECT_EQ(m.num_rows(), 12);
  185. EXPECT_EQ(m.num_cols(), 5);
  186. ASSERT_EQ(m.num_nonzeros(), 5);
  187. EXPECT_EQ(m.values()[0], 2.5);
  188. EXPECT_EQ(m.values()[1], 5.2);
  189. EXPECT_EQ(m.values()[2], 3.5);
  190. EXPECT_EQ(m.values()[3], 6.2);
  191. EXPECT_EQ(m.values()[4], 1);
  192. EXPECT_EQ(m.rows()[0], 0);
  193. EXPECT_EQ(m.rows()[1], 1);
  194. EXPECT_EQ(m.rows()[2], 2);
  195. EXPECT_EQ(m.rows()[3], 3);
  196. EXPECT_EQ(m.rows()[4], 11);
  197. EXPECT_EQ(m.cols()[0], 1);
  198. EXPECT_EQ(m.cols()[1], 4);
  199. EXPECT_EQ(m.cols()[2], 1);
  200. EXPECT_EQ(m.cols()[3], 4);
  201. EXPECT_EQ(m.cols()[4], 5);
  202. }
  203. TEST(TripletSparseMatrix, AppendCols) {
  204. // Build one matrix.
  205. TripletSparseMatrix m(2, 5, 4);
  206. m.mutable_rows()[0] = 0;
  207. m.mutable_cols()[0] = 1;
  208. m.mutable_values()[0] = 2.5;
  209. m.mutable_rows()[1] = 1;
  210. m.mutable_cols()[1] = 4;
  211. m.mutable_values()[1] = 5.2;
  212. m.set_num_nonzeros(2);
  213. // Build another matrix.
  214. TripletSparseMatrix a(2, 15, 4);
  215. a.mutable_rows()[0] = 0;
  216. a.mutable_cols()[0] = 1;
  217. a.mutable_values()[0] = 3.5;
  218. a.mutable_rows()[1] = 1;
  219. a.mutable_cols()[1] = 4;
  220. a.mutable_values()[1] = 6.2;
  221. a.mutable_rows()[2] = 0;
  222. a.mutable_cols()[2] = 10;
  223. a.mutable_values()[2] = 1;
  224. a.set_num_nonzeros(3);
  225. // Glue the second matrix to the left of the first.
  226. m.AppendCols(a);
  227. EXPECT_EQ(m.num_rows(), 2);
  228. EXPECT_EQ(m.num_cols(), 20);
  229. ASSERT_EQ(m.num_nonzeros(), 5);
  230. EXPECT_EQ(m.values()[0], 2.5);
  231. EXPECT_EQ(m.values()[1], 5.2);
  232. EXPECT_EQ(m.values()[2], 3.5);
  233. EXPECT_EQ(m.values()[3], 6.2);
  234. EXPECT_EQ(m.values()[4], 1);
  235. EXPECT_EQ(m.rows()[0], 0);
  236. EXPECT_EQ(m.rows()[1], 1);
  237. EXPECT_EQ(m.rows()[2], 0);
  238. EXPECT_EQ(m.rows()[3], 1);
  239. EXPECT_EQ(m.rows()[4], 0);
  240. EXPECT_EQ(m.cols()[0], 1);
  241. EXPECT_EQ(m.cols()[1], 4);
  242. EXPECT_EQ(m.cols()[2], 6);
  243. EXPECT_EQ(m.cols()[3], 9);
  244. EXPECT_EQ(m.cols()[4], 15);
  245. }
  246. TEST(TripletSparseMatrix, CreateDiagonalMatrix) {
  247. std::unique_ptr<double[]> values(new double[10]);
  248. for (int i = 0; i < 10; ++i) values[i] = i;
  249. std::unique_ptr<TripletSparseMatrix> m(
  250. TripletSparseMatrix::CreateSparseDiagonalMatrix(values.get(), 10));
  251. EXPECT_EQ(m->num_rows(), 10);
  252. EXPECT_EQ(m->num_cols(), 10);
  253. ASSERT_EQ(m->num_nonzeros(), 10);
  254. for (int i = 0; i < 10; ++i) {
  255. EXPECT_EQ(m->rows()[i], i);
  256. EXPECT_EQ(m->cols()[i], i);
  257. EXPECT_EQ(m->values()[i], i);
  258. }
  259. }
  260. TEST(TripletSparseMatrix, Resize) {
  261. TripletSparseMatrix m(10, 20, 200);
  262. int nnz = 0;
  263. for (int i = 0; i < 10; ++i) {
  264. for (int j = 0; j < 20; ++j) {
  265. m.mutable_rows()[nnz] = i;
  266. m.mutable_cols()[nnz] = j;
  267. m.mutable_values()[nnz++] = i + j;
  268. }
  269. }
  270. m.set_num_nonzeros(nnz);
  271. m.Resize(5, 6);
  272. EXPECT_EQ(m.num_rows(), 5);
  273. EXPECT_EQ(m.num_cols(), 6);
  274. ASSERT_EQ(m.num_nonzeros(), 30);
  275. for (int i = 0; i < 30; ++i) {
  276. EXPECT_EQ(m.values()[i], m.rows()[i] + m.cols()[i]);
  277. }
  278. }
  279. TEST(TripletSparseMatrix, ToCRSMatrix) {
  280. // Test matrix:
  281. // [1, 2, 0, 5, 6, 0,
  282. // 3, 4, 0, 7, 8, 0,
  283. // 0, 0, 9, 0, 0, 0]
  284. TripletSparseMatrix m(3,
  285. 6,
  286. {0, 0, 0, 0, 1, 1, 1, 1, 2},
  287. {0, 1, 3, 4, 0, 1, 3, 4, 2},
  288. {1, 2, 3, 4, 5, 6, 7, 8, 9});
  289. CRSMatrix m_crs;
  290. m.ToCRSMatrix(&m_crs);
  291. EXPECT_EQ(m_crs.num_rows, 3);
  292. EXPECT_EQ(m_crs.num_cols, 6);
  293. EXPECT_EQ(m_crs.rows.size(), 4);
  294. EXPECT_EQ(m_crs.rows[0], 0);
  295. EXPECT_EQ(m_crs.rows[1], 4);
  296. EXPECT_EQ(m_crs.rows[2], 8);
  297. EXPECT_EQ(m_crs.rows[3], 9);
  298. EXPECT_EQ(m_crs.cols.size(), 9);
  299. EXPECT_EQ(m_crs.cols[0], 0);
  300. EXPECT_EQ(m_crs.cols[1], 1);
  301. EXPECT_EQ(m_crs.cols[2], 3);
  302. EXPECT_EQ(m_crs.cols[3], 4);
  303. EXPECT_EQ(m_crs.cols[4], 0);
  304. EXPECT_EQ(m_crs.cols[5], 1);
  305. EXPECT_EQ(m_crs.cols[6], 3);
  306. EXPECT_EQ(m_crs.cols[7], 4);
  307. EXPECT_EQ(m_crs.cols[8], 2);
  308. EXPECT_EQ(m_crs.values.size(), 9);
  309. for (int i = 0; i < 9; ++i) {
  310. EXPECT_EQ(m_crs.values[i], i + 1);
  311. }
  312. }
  313. } // namespace ceres::internal