-
-
Notifications
You must be signed in to change notification settings - Fork 1k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
added square coefficient of matrix method in linalg
- Loading branch information
Showing
3 changed files
with
396 additions
and
4 deletions.
There are no files selected for viewing
184 changes: 184 additions & 0 deletions
184
src/shogun/mathematics/linalg/internal/implementation/Square.h
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,184 @@ | ||
| /* | ||
| * Copyright (c) The Shogun Machine Learning Toolbox | ||
| * Written (w) 2014 Soumyajit De | ||
| * All rights reserved. | ||
| * | ||
| * Redistribution and use in source and binary forms, with or without | ||
| * modification, are permitted provided that the following conditions are met: | ||
| * | ||
| * 1. Redistributions of source code must retain the above copyright notice, this | ||
| * list of conditions and the following disclaimer. | ||
| * 2. 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. | ||
| * | ||
| * 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. | ||
| * | ||
| * The views and conclusions contained in the software and documentation are those | ||
| * of the authors and should not be interpreted as representing official policies, | ||
| * either expressed or implied, of the Shogun Development Team. | ||
| */ | ||
|
|
||
| #ifndef SQUARE_IMPL_H_ | ||
| #define SQUARE_IMPL_H_ | ||
|
|
||
| #include <shogun/lib/config.h> | ||
| #include <shogun/lib/SGMatrix.h> | ||
| #include <shogun/io/SGIO.h> | ||
| #include <shogun/mathematics/linalg/internal/Block.h> | ||
| #include <algorithm> | ||
|
|
||
| #ifdef HAVE_EIGEN3 | ||
| #include <shogun/mathematics/eigen3.h> | ||
| #endif // HAVE_EIGEN3 | ||
|
|
||
| namespace shogun | ||
| { | ||
|
|
||
| namespace linalg | ||
| { | ||
|
|
||
| /** | ||
| * All backend specific implementations are defined within this namespace | ||
| */ | ||
| namespace implementation | ||
| { | ||
|
|
||
| /** | ||
| * @brief Generic class square which provides a static compute method. This class | ||
| * is specialized for different types of matrices and backend, providing a mean | ||
| * to deal with various matrices directly without having to convert | ||
| */ | ||
| template <class Info,enum Backend,template<class,Info...>class Matrix,class T,Info... I> | ||
| struct square | ||
| { | ||
| typedef Matrix<T,I...> matrix_type; | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of a dense matrix | ||
| * | ||
| * @param m the matrix whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=m_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(matrix_type m); | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of a dense matrix-block | ||
| * | ||
| * @param b the matrix-block whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=b_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(Block<Info,Matrix,T,I...> b); | ||
| }; | ||
|
|
||
| #ifdef HAVE_EIGEN3 | ||
| /** | ||
| * @brief Specialization of generic square which works with SGMatrix and uses Eigen3 | ||
| * as backend for computing square. | ||
| */ | ||
| template <> template <class T> | ||
| struct square<int,Backend::EIGEN3,shogun::SGMatrix,T> | ||
| { | ||
| typedef shogun::SGMatrix<T> matrix_type; | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of SGMatrix using Eigen3 | ||
| * | ||
| * @param m the matrix whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=m_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(matrix_type m) | ||
| { | ||
| typedef Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> MatrixXt; | ||
| Eigen::Map<MatrixXt> eig_m(m.matrix, m.num_rows, m.num_cols); | ||
|
|
||
| MatrixXt sq=square<int,Backend::EIGEN3,Eigen::Matrix,T,Eigen::Dynamic,Eigen::Dynamic> | ||
| ::compute(eig_m); | ||
|
|
||
| matrix_type square(m.num_rows, m.num_cols); | ||
| std::template copy(sq.data(), sq.data()+sq.size(), square.matrix); | ||
| return square; | ||
| } | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of SGMatrix blocks using Eigen3 | ||
| * | ||
| * @param b the matrix-block whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=b_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(Block<int,shogun::SGMatrix,T> b) | ||
| { | ||
| typedef Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> MatrixXt; | ||
| Eigen::Map<MatrixXt> eig_m(b.m_matrix.matrix, b.m_matrix.num_rows, | ||
| b.m_matrix.num_cols); | ||
|
|
||
| const MatrixXt& block=eig_m.template block(b.m_row_begin, b.m_col_begin, | ||
| b.m_row_size, b.m_col_size); | ||
|
|
||
| MatrixXt sq=square<int,Backend::EIGEN3,Eigen::Matrix,T,Eigen::Dynamic,Eigen::Dynamic> | ||
| ::compute(block); | ||
|
|
||
| matrix_type square(block.rows(), block.cols()); | ||
| std::template copy(sq.data(), sq.data()+sq.size(), square.matrix); | ||
| return square; | ||
| } | ||
| }; | ||
|
|
||
| /** | ||
| * @brief Specialization of generic square which works with Eigen3 Matrix and uses Eigen3 | ||
| * as backend for computing square. | ||
| */ | ||
| template <> template <class T,int...Info> | ||
| struct square<int,Backend::EIGEN3,Eigen::Matrix,T,Info...> | ||
| { | ||
| typedef Eigen::Matrix<T,Info...> matrix_type; | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of SGMatrix using Eigen3 | ||
| * | ||
| * @param m the matrix whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=m_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(matrix_type m) | ||
| { | ||
| return m.array().template square(); | ||
| } | ||
|
|
||
| /** | ||
| * Method that computes the square of co-efficients of SGMatrix using Eigen3 | ||
| * | ||
| * @param m the matrix whose squared co-efficients matrix has to be computed | ||
| * @return another matrix whose co-efficients are \f$m'_{i,j}=m_(i,j}^2\f$ | ||
| * for all \f$i,j\f$ | ||
| */ | ||
| static matrix_type compute(Block<int,Eigen::Matrix,T,Info...> b) | ||
| { | ||
| const matrix_type& block=b.m_matrix.template block(b.m_row_begin, b.m_col_begin, | ||
| b.m_row_size, b.m_col_size); | ||
|
|
||
| return compute(block); | ||
| } | ||
| }; | ||
|
|
||
| #endif // HAVE_EIGEN3 | ||
|
|
||
| } | ||
|
|
||
| } | ||
|
|
||
| } | ||
| #endif // SQUARE_IMPL_H_ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.