186 lines
7.4 KiB
C++
186 lines
7.4 KiB
C++
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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2015 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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//
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// Template specialization of PartitionedMatrixView.
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//
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// ========================================
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// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
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// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
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// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
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// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
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//=========================================
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//
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// This file is generated using generate_partitioned_matrix_view_specializations.py.
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// Editing it manually is not recommended.
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#include "ceres/linear_solver.h"
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#include "ceres/partitioned_matrix_view.h"
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#include "ceres/internal/eigen.h"
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namespace ceres {
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namespace internal {
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PartitionedMatrixViewBase*
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PartitionedMatrixViewBase::Create(const LinearSolver::Options& options,
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const BlockSparseMatrix& matrix) {
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#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 2) &&
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(options.f_block_size == 2)) {
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return new PartitionedMatrixView<2, 2, 2>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 2) &&
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(options.f_block_size == 3)) {
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return new PartitionedMatrixView<2, 2, 3>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 2) &&
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(options.f_block_size == 4)) {
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return new PartitionedMatrixView<2, 2, 4>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 2) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<2, 2, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 3) &&
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(options.f_block_size == 3)) {
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return new PartitionedMatrixView<2, 3, 3>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 3) &&
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(options.f_block_size == 4)) {
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return new PartitionedMatrixView<2, 3, 4>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 3) &&
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(options.f_block_size == 6)) {
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return new PartitionedMatrixView<2, 3, 6>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 3) &&
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(options.f_block_size == 9)) {
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return new PartitionedMatrixView<2, 3, 9>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 3) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<2, 3, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 3)) {
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return new PartitionedMatrixView<2, 4, 3>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 4)) {
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return new PartitionedMatrixView<2, 4, 4>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 8)) {
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return new PartitionedMatrixView<2, 4, 8>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 9)) {
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return new PartitionedMatrixView<2, 4, 9>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<2, 4, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 2) &&
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(options.e_block_size == Eigen::Dynamic) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 4) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 2)) {
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return new PartitionedMatrixView<4, 4, 2>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 4) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 3)) {
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return new PartitionedMatrixView<4, 4, 3>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 4) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == 4)) {
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return new PartitionedMatrixView<4, 4, 4>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == 4) &&
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(options.e_block_size == 4) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<4, 4, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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if ((options.row_block_size == Eigen::Dynamic) &&
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(options.e_block_size == Eigen::Dynamic) &&
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(options.f_block_size == Eigen::Dynamic)) {
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return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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}
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#endif
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VLOG(1) << "Template specializations not found for <"
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<< options.row_block_size << ","
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<< options.e_block_size << ","
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<< options.f_block_size << ">";
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return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>(
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matrix, options.elimination_groups[0]);
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};
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} // namespace internal
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} // namespace ceres
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