Files
eigen/Eigen/src/Core/MatrixStorage.h
Gael Guennebaud 1985fb0551 Added initial experimental support for explicit vectorization.
Currently only the following platform/operations are supported:
 - SSE2 compatible architecture
 - compiler compatible with intel's SSE2 intrinsics
 - float, double and int data types
 - fixed size matrices with a storage major dimension multiple of 4 (or 2 for double)
 - scalar-matrix product, component wise: +,-,*,min,max
 - matrix-matrix product only if the left matrix is vectorizable and column major
   or the right matrix is vectorizable and row major, e.g.:
   a.transpose() * b is not vectorized with the default column major storage.
To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.
2008-04-09 12:31:55 +00:00

195 lines
5.8 KiB
C++

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_MATRIXSTORAGE_H
#define EIGEN_MATRIXSTORAGE_H
/** \internal
*
* \class ei_matrix_storage
*
* \brief Stores the data of a matrix
*
* This class stores the data of fixed-size, dynamic-size or mixed matrices
* in a way as compact as possible.
*
* \sa Matrix
*/
template<typename T, int Size, int _Rows, int _Cols> class ei_matrix_storage;
template <typename T, int Size, bool Align> struct ei_aligned_array
{
EIGEN_ALIGN_128 T array[Size];
};
template <typename T, int Size> struct ei_aligned_array<T,Size,false>
{
T array[Size];
};
// purely fixed-size matrix
template<typename T, int Size, int _Rows, int _Cols> class ei_matrix_storage
{
ei_aligned_array<T,Size,((Size*sizeof(T))%16)==0> m_data;
public:
ei_matrix_storage() {}
ei_matrix_storage(int,int,int) {}
static int rows(void) {return _Rows;}
static int cols(void) {return _Cols;}
void resize(int,int,int) {}
const T *data() const { return m_data.array; }
T *data() { return m_data.array; }
};
// dynamic-size matrix with fixed-size storage
template<typename T, int Size> class ei_matrix_storage<T, Size, Dynamic, Dynamic>
{
T m_data[Size];
int m_rows;
int m_cols;
public:
ei_matrix_storage(int, int rows, int cols) : m_rows(rows), m_cols(cols) {}
~ei_matrix_storage() {}
int rows(void) const {return m_rows;}
int cols(void) const {return m_cols;}
void resize(int, int rows, int cols)
{
m_rows = rows;
m_cols = cols;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
// dynamic-size matrix with fixed-size storage and fixed width
template<typename T, int Size, int _Cols> class ei_matrix_storage<T, Size, Dynamic, _Cols>
{
T m_data[Size];
int m_rows;
public:
ei_matrix_storage(int, int rows, int) : m_rows(rows) {}
~ei_matrix_storage() {}
int rows(void) const {return m_rows;}
int cols(void) const {return _Cols;}
void resize(int size, int rows, int)
{
m_rows = rows;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
// dynamic-size matrix with fixed-size storage and fixed height
template<typename T, int Size, int _Rows> class ei_matrix_storage<T, Size, _Rows, Dynamic>
{
T m_data[Size];
int m_cols;
public:
ei_matrix_storage(int, int, int cols) : m_cols(cols) {}
~ei_matrix_storage() {}
int rows(void) const {return _Rows;}
int cols(void) const {return m_cols;}
void resize(int size, int, int cols)
{
m_cols = cols;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
// purely dynamic matrix.
template<typename T> class ei_matrix_storage<T, Dynamic, Dynamic, Dynamic>
{
T *m_data;
int m_rows;
int m_cols;
public:
ei_matrix_storage(int size, int rows, int cols)
: m_data(new T[size]), m_rows(rows), m_cols(cols) {}
~ei_matrix_storage() { delete[] m_data; }
int rows(void) const {return m_rows;}
int cols(void) const {return m_cols;}
void resize(int size, int rows, int cols)
{
if(size != m_rows*m_cols)
{
delete[] m_data;
m_data = new T[size];
}
m_rows = rows;
m_cols = cols;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
// matrix with dynamic width and fixed height (so that matrix has dynamic size).
template<typename T, int _Rows> class ei_matrix_storage<T, Dynamic, _Rows, Dynamic>
{
T *m_data;
int m_cols;
public:
ei_matrix_storage(int size, int, int cols) : m_data(new T[size]), m_cols(cols) {}
~ei_matrix_storage() { delete[] m_data; }
static int rows(void) {return _Rows;}
int cols(void) const {return m_cols;}
void resize(int size, int, int cols)
{
if(size != _Rows*m_cols)
{
delete[] m_data;
m_data = new T[size];
}
m_cols = cols;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
// matrix with dynamic height and fixed width (so that matrix has dynamic size).
template<typename T, int _Cols> class ei_matrix_storage<T, Dynamic, Dynamic, _Cols>
{
T *m_data;
int m_rows;
public:
ei_matrix_storage(int size, int rows, int) : m_data(new T[size]), m_rows(rows) {}
~ei_matrix_storage() { delete[] m_data; }
int rows(void) const {return m_rows;}
static int cols(void) {return _Cols;}
void resize(int size, int rows, int)
{
if(size != m_rows*_Cols)
{
delete[] m_data;
m_data = new T[size];
}
m_rows = rows;
}
const T *data() const { return m_data; }
T *data() { return m_data; }
};
#endif // EIGEN_MATRIX_H