// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2010, 2011, 2012 Google Inc. All rights reserved. // http://code.google.com/p/ceres-solver/ // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // * Neither the name of Google Inc. nor the names of its contributors may be // used to endorse or promote products derived from this software without // specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: sameeragarwal@google.com (Sameer Agarwal) #include <vector> #include "gtest/gtest.h" #include "ceres/block_random_access_dense_matrix.h" #include "ceres/internal/eigen.h" namespace ceres { namespace internal { TEST(BlockRandomAccessDenseMatrix, GetCell) { vector<int> blocks; blocks.push_back(3); blocks.push_back(4); blocks.push_back(5); const int num_rows = 3 + 4 + 5; BlockRandomAccessDenseMatrix m(blocks); EXPECT_EQ(m.num_rows(), num_rows); EXPECT_EQ(m.num_cols(), num_rows); int row_idx = 0; for (int i = 0; i < blocks.size(); ++i) { int col_idx = 0; for (int j = 0; j < blocks.size(); ++j) { int row; int col; int row_stride; int col_stride; CellInfo* cell = m.GetCell(i, j, &row, &col, &row_stride, &col_stride); EXPECT_TRUE(cell != NULL); EXPECT_EQ(row, row_idx); EXPECT_EQ(col, col_idx); EXPECT_EQ(row_stride, 3 + 4 + 5); EXPECT_EQ(col_stride, 3 + 4 + 5); col_idx += blocks[j]; } row_idx += blocks[i]; } } TEST(BlockRandomAccessDenseMatrix, WriteCell) { vector<int> blocks; blocks.push_back(3); blocks.push_back(4); blocks.push_back(5); const int num_rows = 3 + 4 + 5; BlockRandomAccessDenseMatrix m(blocks); // Fill the cell (i,j) with (i + 1) * (j + 1) for (int i = 0; i < blocks.size(); ++i) { for (int j = 0; j < blocks.size(); ++j) { int row; int col; int row_stride; int col_stride; CellInfo* cell = m.GetCell( i, j, &row, &col, &row_stride, &col_stride); MatrixRef(cell->values, row_stride, col_stride).block( row, col, blocks[i], blocks[j]) = (i+1) * (j+1) * Matrix::Ones(blocks[i], blocks[j]); } } // Check the values in the array are correct by going over the // entries of each block manually. int row_idx = 0; for (int i = 0; i < blocks.size(); ++i) { int col_idx = 0; for (int j = 0; j < blocks.size(); ++j) { // Check the values of this block. for (int r = 0; r < blocks[i]; ++r) { for (int c = 0; c < blocks[j]; ++c) { int pos = row_idx * num_rows + col_idx; EXPECT_EQ(m.values()[pos], (i + 1) * (j + 1)); } } col_idx += blocks[j]; } row_idx += blocks[i]; } } } // namespace internal } // namespace ceres