MYNT-EYE-S-SDK/3rdparty/ceres-solver-1.11.0/internal/ceres/partitioned_matrix_view.cc
2019-01-03 16:25:18 +08:00

186 lines
7.4 KiB
C++

// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2015 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_partitioned_matrix_view_specializations.py.
// Editing it manually is not recommended.
#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) &&
(options.f_block_size == Eigen::Dynamic)) {
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) &&
(options.f_block_size == Eigen::Dynamic)) {
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 == 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) &&
(options.f_block_size == Eigen::Dynamic)) {
return new PartitionedMatrixView<2, 4, Eigen::Dynamic>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == Eigen::Dynamic) &&
(options.f_block_size == Eigen::Dynamic)) {
return new PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>(
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) &&
(options.f_block_size == Eigen::Dynamic)) {
return new PartitionedMatrixView<4, 4, Eigen::Dynamic>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == Eigen::Dynamic) &&
(options.e_block_size == Eigen::Dynamic) &&
(options.f_block_size == Eigen::Dynamic)) {
return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, 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