| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2015 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #include <limits> | 
 | #include <memory> | 
 | #include <vector> | 
 |  | 
 | #include "ceres/block_random_access_sparse_matrix.h" | 
 | #include "ceres/internal/eigen.h" | 
 | #include "glog/logging.h" | 
 | #include "gtest/gtest.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | using std::make_pair; | 
 | using std::pair; | 
 | using std::set; | 
 | using std::vector; | 
 |  | 
 | TEST(BlockRandomAccessSparseMatrix, GetCell) { | 
 |   vector<int> blocks; | 
 |   blocks.push_back(3); | 
 |   blocks.push_back(4); | 
 |   blocks.push_back(5); | 
 |   const int num_rows = 3 + 4 + 5; | 
 |  | 
 |   set<pair<int, int>> block_pairs; | 
 |   int num_nonzeros = 0; | 
 |   block_pairs.insert(make_pair(0, 0)); | 
 |   num_nonzeros += blocks[0] * blocks[0]; | 
 |  | 
 |   block_pairs.insert(make_pair(1, 1)); | 
 |   num_nonzeros += blocks[1] * blocks[1]; | 
 |  | 
 |   block_pairs.insert(make_pair(1, 2)); | 
 |   num_nonzeros += blocks[1] * blocks[2]; | 
 |  | 
 |   block_pairs.insert(make_pair(0, 2)); | 
 |   num_nonzeros += blocks[2] * blocks[0]; | 
 |  | 
 |   BlockRandomAccessSparseMatrix m(blocks, block_pairs); | 
 |   EXPECT_EQ(m.num_rows(), num_rows); | 
 |   EXPECT_EQ(m.num_cols(), num_rows); | 
 |  | 
 |   for (const auto& block_pair : block_pairs) { | 
 |     const int row_block_id = block_pair.first; | 
 |     const int col_block_id = block_pair.second; | 
 |     int row; | 
 |     int col; | 
 |     int row_stride; | 
 |     int col_stride; | 
 |     CellInfo* cell =  m.GetCell(row_block_id, col_block_id, | 
 |                                 &row, &col, | 
 |                                 &row_stride, &col_stride); | 
 |     EXPECT_TRUE(cell != NULL); | 
 |     EXPECT_EQ(row, 0); | 
 |     EXPECT_EQ(col, 0); | 
 |     EXPECT_EQ(row_stride, blocks[row_block_id]); | 
 |     EXPECT_EQ(col_stride, blocks[col_block_id]); | 
 |  | 
 |     // Write into the block | 
 |     MatrixRef(cell->values, row_stride, col_stride).block( | 
 |         row, col, blocks[row_block_id], blocks[col_block_id]) = | 
 |         (row_block_id + 1) * (col_block_id +1) * | 
 |         Matrix::Ones(blocks[row_block_id], blocks[col_block_id]); | 
 |   } | 
 |  | 
 |   const TripletSparseMatrix* tsm = m.matrix(); | 
 |   EXPECT_EQ(tsm->num_nonzeros(), num_nonzeros); | 
 |   EXPECT_EQ(tsm->max_num_nonzeros(), num_nonzeros); | 
 |  | 
 |   Matrix dense; | 
 |   tsm->ToDenseMatrix(&dense); | 
 |  | 
 |   double kTolerance = 1e-14; | 
 |  | 
 |   // (0, 0) | 
 |   EXPECT_NEAR((dense.block(0, 0, 3, 3) - Matrix::Ones(3, 3)).norm(), | 
 |               0.0, | 
 |               kTolerance); | 
 |   // (1, 1) | 
 |   EXPECT_NEAR((dense.block(3, 3, 4, 4) - 2 * 2 * Matrix::Ones(4, 4)).norm(), | 
 |               0.0, | 
 |               kTolerance); | 
 |   // (1, 2) | 
 |   EXPECT_NEAR((dense.block(3, 3 + 4, 4, 5) - 2 * 3 * Matrix::Ones(4, 5)).norm(), | 
 |               0.0, | 
 |               kTolerance); | 
 |   // (0, 2) | 
 |   EXPECT_NEAR((dense.block(0, 3 + 4, 3, 5) - 3 * 1 * Matrix::Ones(3, 5)).norm(), | 
 |               0.0, | 
 |               kTolerance); | 
 |  | 
 |   // There is nothing else in the matrix besides these four blocks. | 
 |   EXPECT_NEAR(dense.norm(), sqrt(9. + 16. * 16. + 36. * 20. + 9. * 15.), | 
 |               kTolerance); | 
 |  | 
 |   Vector x = Vector::Ones(dense.rows()); | 
 |   Vector actual_y = Vector::Zero(dense.rows()); | 
 |   Vector expected_y = Vector::Zero(dense.rows()); | 
 |  | 
 |   expected_y += dense.selfadjointView<Eigen::Upper>() * x; | 
 |   m.SymmetricRightMultiply(x.data(), actual_y.data()); | 
 |   EXPECT_NEAR((expected_y - actual_y).norm(), 0.0, kTolerance) | 
 |       << "actual: " << actual_y.transpose() << "\n" | 
 |       << "expected: " << expected_y.transpose() | 
 |       << "matrix: \n " << dense; | 
 | } | 
 |  | 
 | // IntPairToLong is private, thus this fixture is needed to access and | 
 | // test it. | 
 | class BlockRandomAccessSparseMatrixTest : public ::testing::Test { | 
 |  public: | 
 |   void SetUp() final { | 
 |     vector<int> blocks; | 
 |     blocks.push_back(1); | 
 |     set<pair<int, int>> block_pairs; | 
 |     block_pairs.insert(make_pair(0, 0)); | 
 |     m_.reset(new BlockRandomAccessSparseMatrix(blocks, block_pairs)); | 
 |   } | 
 |  | 
 |   void CheckIntPairToLong(int a, int b) { | 
 |     int64_t value = m_->IntPairToLong(a, b); | 
 |     EXPECT_GT(value, 0) << "Overflow a = " << a << " b = " << b; | 
 |     EXPECT_GT(value, a) << "Overflow a = " << a << " b = " << b; | 
 |     EXPECT_GT(value, b) << "Overflow a = " << a << " b = " << b; | 
 |   } | 
 |  | 
 |   void CheckLongToIntPair() { | 
 |     uint64_t max_rows =  m_->kMaxRowBlocks; | 
 |     for (int row = max_rows - 10; row < max_rows; ++row) { | 
 |       for (int col = 0; col < 10; ++col) { | 
 |         int row_computed; | 
 |         int col_computed; | 
 |         m_->LongToIntPair(m_->IntPairToLong(row, col), | 
 |                           &row_computed, | 
 |                           &col_computed); | 
 |         EXPECT_EQ(row, row_computed); | 
 |         EXPECT_EQ(col, col_computed); | 
 |       } | 
 |     } | 
 |   } | 
 |  | 
 |  private: | 
 |   std::unique_ptr<BlockRandomAccessSparseMatrix> m_; | 
 | }; | 
 |  | 
 | TEST_F(BlockRandomAccessSparseMatrixTest, IntPairToLongOverflow) { | 
 |   CheckIntPairToLong(std::numeric_limits<int>::max(), | 
 |                      std::numeric_limits<int>::max()); | 
 | } | 
 |  | 
 | TEST_F(BlockRandomAccessSparseMatrixTest, LongToIntPair) { | 
 |   CheckLongToIntPair(); | 
 | } | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres |