diff options
Diffstat (limited to 'internal/ceres/partitioned_matrix_view_test.cc')
-rw-r--r-- | internal/ceres/partitioned_matrix_view_test.cc | 95 |
1 files changed, 39 insertions, 56 deletions
diff --git a/internal/ceres/partitioned_matrix_view_test.cc b/internal/ceres/partitioned_matrix_view_test.cc index 48f7d24..ef5dae9 100644 --- a/internal/ceres/partitioned_matrix_view_test.cc +++ b/internal/ceres/partitioned_matrix_view_test.cc @@ -49,6 +49,7 @@ const double kEpsilon = 1e-14; class PartitionedMatrixViewTest : public ::testing::Test { protected : virtual void SetUp() { + srand(5); scoped_ptr<LinearLeastSquaresProblem> problem( CreateLinearLeastSquaresProblemFromId(2)); CHECK_NOTNULL(problem.get()); @@ -57,108 +58,93 @@ class PartitionedMatrixViewTest : public ::testing::Test { num_cols_ = A_->num_cols(); num_rows_ = A_->num_rows(); num_eliminate_blocks_ = problem->num_eliminate_blocks; + LinearSolver::Options options; + options.elimination_groups.push_back(num_eliminate_blocks_); + pmv_.reset(PartitionedMatrixViewBase::Create( + options, + *down_cast<BlockSparseMatrix*>(A_.get()))); } int num_rows_; int num_cols_; int num_eliminate_blocks_; - scoped_ptr<SparseMatrix> A_; + scoped_ptr<PartitionedMatrixViewBase> pmv_; }; TEST_F(PartitionedMatrixViewTest, DimensionsTest) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - EXPECT_EQ(m.num_col_blocks_e(), num_eliminate_blocks_); - EXPECT_EQ(m.num_col_blocks_f(), num_cols_ - num_eliminate_blocks_); - EXPECT_EQ(m.num_cols_e(), num_eliminate_blocks_); - EXPECT_EQ(m.num_cols_f(), num_cols_ - num_eliminate_blocks_); - EXPECT_EQ(m.num_cols(), A_->num_cols()); - EXPECT_EQ(m.num_rows(), A_->num_rows()); + EXPECT_EQ(pmv_->num_col_blocks_e(), num_eliminate_blocks_); + EXPECT_EQ(pmv_->num_col_blocks_f(), num_cols_ - num_eliminate_blocks_); + EXPECT_EQ(pmv_->num_cols_e(), num_eliminate_blocks_); + EXPECT_EQ(pmv_->num_cols_f(), num_cols_ - num_eliminate_blocks_); + EXPECT_EQ(pmv_->num_cols(), A_->num_cols()); + EXPECT_EQ(pmv_->num_rows(), A_->num_rows()); } TEST_F(PartitionedMatrixViewTest, RightMultiplyE) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - - srand(5); - - Vector x1(m.num_cols_e()); - Vector x2(m.num_cols()); + Vector x1(pmv_->num_cols_e()); + Vector x2(pmv_->num_cols()); x2.setZero(); - for (int i = 0; i < m.num_cols_e(); ++i) { + for (int i = 0; i < pmv_->num_cols_e(); ++i) { x1(i) = x2(i) = RandDouble(); } - Vector y1 = Vector::Zero(m.num_rows()); - m.RightMultiplyE(x1.data(), y1.data()); + Vector y1 = Vector::Zero(pmv_->num_rows()); + pmv_->RightMultiplyE(x1.data(), y1.data()); - Vector y2 = Vector::Zero(m.num_rows()); + Vector y2 = Vector::Zero(pmv_->num_rows()); A_->RightMultiply(x2.data(), y2.data()); - for (int i = 0; i < m.num_rows(); ++i) { + for (int i = 0; i < pmv_->num_rows(); ++i) { EXPECT_NEAR(y1(i), y2(i), kEpsilon); } } TEST_F(PartitionedMatrixViewTest, RightMultiplyF) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - - srand(5); - - Vector x1(m.num_cols_f()); - Vector x2 = Vector::Zero(m.num_cols()); + Vector x1(pmv_->num_cols_f()); + Vector x2 = Vector::Zero(pmv_->num_cols()); - for (int i = 0; i < m.num_cols_f(); ++i) { + for (int i = 0; i < pmv_->num_cols_f(); ++i) { x1(i) = RandDouble(); - x2(i + m.num_cols_e()) = x1(i); + x2(i + pmv_->num_cols_e()) = x1(i); } - Vector y1 = Vector::Zero(m.num_rows()); - m.RightMultiplyF(x1.data(), y1.data()); + Vector y1 = Vector::Zero(pmv_->num_rows()); + pmv_->RightMultiplyF(x1.data(), y1.data()); - Vector y2 = Vector::Zero(m.num_rows()); + Vector y2 = Vector::Zero(pmv_->num_rows()); A_->RightMultiply(x2.data(), y2.data()); - for (int i = 0; i < m.num_rows(); ++i) { + for (int i = 0; i < pmv_->num_rows(); ++i) { EXPECT_NEAR(y1(i), y2(i), kEpsilon); } } TEST_F(PartitionedMatrixViewTest, LeftMultiply) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - - srand(5); - - Vector x = Vector::Zero(m.num_rows()); - for (int i = 0; i < m.num_rows(); ++i) { + Vector x = Vector::Zero(pmv_->num_rows()); + for (int i = 0; i < pmv_->num_rows(); ++i) { x(i) = RandDouble(); } - Vector y = Vector::Zero(m.num_cols()); - Vector y1 = Vector::Zero(m.num_cols_e()); - Vector y2 = Vector::Zero(m.num_cols_f()); + Vector y = Vector::Zero(pmv_->num_cols()); + Vector y1 = Vector::Zero(pmv_->num_cols_e()); + Vector y2 = Vector::Zero(pmv_->num_cols_f()); A_->LeftMultiply(x.data(), y.data()); - m.LeftMultiplyE(x.data(), y1.data()); - m.LeftMultiplyF(x.data(), y2.data()); + pmv_->LeftMultiplyE(x.data(), y1.data()); + pmv_->LeftMultiplyF(x.data(), y2.data()); - for (int i = 0; i < m.num_cols(); ++i) { + for (int i = 0; i < pmv_->num_cols(); ++i) { EXPECT_NEAR(y(i), - (i < m.num_cols_e()) ? y1(i) : y2(i - m.num_cols_e()), + (i < pmv_->num_cols_e()) ? y1(i) : y2(i - pmv_->num_cols_e()), kEpsilon); } } TEST_F(PartitionedMatrixViewTest, BlockDiagonalEtE) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - scoped_ptr<BlockSparseMatrix> - block_diagonal_ee(m.CreateBlockDiagonalEtE()); + block_diagonal_ee(pmv_->CreateBlockDiagonalEtE()); const CompressedRowBlockStructure* bs = block_diagonal_ee->block_structure(); EXPECT_EQ(block_diagonal_ee->num_rows(), 2); @@ -171,11 +157,8 @@ TEST_F(PartitionedMatrixViewTest, BlockDiagonalEtE) { } TEST_F(PartitionedMatrixViewTest, BlockDiagonalFtF) { - PartitionedMatrixView m(*down_cast<BlockSparseMatrix*>(A_.get()), - num_eliminate_blocks_); - scoped_ptr<BlockSparseMatrix> - block_diagonal_ff(m.CreateBlockDiagonalFtF()); + block_diagonal_ff(pmv_->CreateBlockDiagonalFtF()); const CompressedRowBlockStructure* bs = block_diagonal_ff->block_structure(); EXPECT_EQ(block_diagonal_ff->num_rows(), 3); |