| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2024 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: markshachkov@gmail.com (Mark Shachkov) |
| // |
| // A C++ interface to cuDSS. |
| |
| #ifndef CERES_INTERNAL_CUDA_SPARSE_CHOLESKY_H_ |
| #define CERES_INTERNAL_CUDA_SPARSE_CHOLESKY_H_ |
| |
| // This include must come before any #ifndef check on Ceres compile options. |
| #include "ceres/internal/config.h" |
| |
| #ifndef CERES_NO_CUDSS |
| |
| #include <memory> |
| |
| #include "ceres/internal/export.h" |
| #include "ceres/linear_solver.h" |
| #include "ceres/sparse_cholesky.h" |
| |
| namespace ceres::internal { |
| |
| // This class is a factory for implementation of sparse cholesky that uses cuDSS |
| // on CUDA capable GPU's to solve sparse linear systems. Scalar controls the |
| // precision used during computations, currently float and double are supported. |
| // Details of implementation are incapsulated into cuda_sparse_cholesky.cc |
| template <typename Scalar = double> |
| class CERES_NO_EXPORT CudaSparseCholesky : public SparseCholesky { |
| public: |
| static constexpr bool IsNestedDissectionAvailable() noexcept { return false; } |
| |
| static std::unique_ptr<SparseCholesky> Create( |
| ContextImpl* context, const OrderingType ordering_type); |
| }; |
| |
| } // namespace ceres::internal |
| |
| #endif // CERES_NO_CUDSS |
| |
| #endif // CERES_INTERNAL_CUDA_SPARSE_CHOLESKY_H_ |