| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2017 Google Inc. All rights reserved.// http://ceres-solver.org///// 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)//// Template specialization of PartitionedMatrixView.//// ========================================// THIS FILE IS AUTOGENERATED. DO NOT EDIT.// THIS FILE IS AUTOGENERATED. DO NOT EDIT.// THIS FILE IS AUTOGENERATED. DO NOT EDIT.// THIS FILE IS AUTOGENERATED. DO NOT EDIT.//=========================================//// This file is generated using generate_template_specializations.py.#include "ceres/linear_solver.h"#include "ceres/partitioned_matrix_view.h"#include "ceres/internal/eigen.h"namespace ceres {namespace internal {PartitionedMatrixViewBase*PartitionedMatrixViewBase::Create(const LinearSolver::Options& options,                                  const BlockSparseMatrix& matrix) {#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION if ((options.row_block_size == 2) &&     (options.e_block_size == 2) &&     (options.f_block_size == 2)) {   return new PartitionedMatrixView<2, 2, 2>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 2) &&     (options.f_block_size == 3)) {   return new PartitionedMatrixView<2, 2, 3>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 2) &&     (options.f_block_size == 4)) {   return new PartitionedMatrixView<2, 2, 4>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 2)) {   return new PartitionedMatrixView<2, 2, Eigen::Dynamic>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 3) &&     (options.f_block_size == 3)) {   return new PartitionedMatrixView<2, 3, 3>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 3) &&     (options.f_block_size == 4)) {   return new PartitionedMatrixView<2, 3, 4>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 3) &&     (options.f_block_size == 6)) {   return new PartitionedMatrixView<2, 3, 6>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 3) &&     (options.f_block_size == 9)) {   return new PartitionedMatrixView<2, 3, 9>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 3)) {   return new PartitionedMatrixView<2, 3, Eigen::Dynamic>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4) &&     (options.f_block_size == 3)) {   return new PartitionedMatrixView<2, 4, 3>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4) &&     (options.f_block_size == 4)) {   return new PartitionedMatrixView<2, 4, 4>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4) &&     (options.f_block_size == 6)) {   return new PartitionedMatrixView<2, 4, 6>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4) &&     (options.f_block_size == 8)) {   return new PartitionedMatrixView<2, 4, 8>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4) &&     (options.f_block_size == 9)) {   return new PartitionedMatrixView<2, 4, 9>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 2) &&     (options.e_block_size == 4)) {   return new PartitionedMatrixView<2, 4, Eigen::Dynamic>(matrix, options.elimination_groups[0]); } if (options.row_block_size == 2){   return new PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 3) &&     (options.e_block_size == 3) &&     (options.f_block_size == 3)) {   return new PartitionedMatrixView<3, 3, 3>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 4) &&     (options.e_block_size == 4) &&     (options.f_block_size == 2)) {   return new PartitionedMatrixView<4, 4, 2>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 4) &&     (options.e_block_size == 4) &&     (options.f_block_size == 3)) {   return new PartitionedMatrixView<4, 4, 3>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 4) &&     (options.e_block_size == 4) &&     (options.f_block_size == 4)) {   return new PartitionedMatrixView<4, 4, 4>(matrix, options.elimination_groups[0]); } if ((options.row_block_size == 4) &&     (options.e_block_size == 4)) {   return new PartitionedMatrixView<4, 4, Eigen::Dynamic>(matrix, options.elimination_groups[0]); }#endif  VLOG(1) << "Template specializations not found for <"          << options.row_block_size << ","          << options.e_block_size << ","          << options.f_block_size << ">";  return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>(               matrix, options.elimination_groups[0]);};}  // namespace internal}  // namespace ceres
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