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							- // 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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