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common.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_BLAS_COMMON_H
11#define EIGEN_BLAS_COMMON_H
12
13#ifdef __GNUC__
14# if __GNUC__<5
15// GCC < 5.0 does not like the global Scalar typedef
16// we just keep shadow-warnings disabled permanently
17# define EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS
18# endif
19#endif
20
21#include "../Eigen/Core"
22#include "../Eigen/Jacobi"
23
24#include <complex>
25
26#ifndef SCALAR
27#error the token SCALAR must be defined to compile this file
28#endif
29
30#include "../Eigen/src/misc/blas.h"
31
32#define NOTR 0
33#define TR 1
34#define ADJ 2
35
36#define LEFT 0
37#define RIGHT 1
38
39#define UP 0
40#define LO 1
41
42#define NUNIT 0
43#define UNIT 1
44
45#define INVALID 0xff
46
47#define OP(X) ( ((X)=='N' || (X)=='n') ? NOTR \
48 : ((X)=='T' || (X)=='t') ? TR \
49 : ((X)=='C' || (X)=='c') ? ADJ \
50 : INVALID)
51
52#define SIDE(X) ( ((X)=='L' || (X)=='l') ? LEFT \
53 : ((X)=='R' || (X)=='r') ? RIGHT \
54 : INVALID)
55
56#define UPLO(X) ( ((X)=='U' || (X)=='u') ? UP \
57 : ((X)=='L' || (X)=='l') ? LO \
58 : INVALID)
59
60#define DIAG(X) ( ((X)=='N' || (X)=='n') ? NUNIT \
61 : ((X)=='U' || (X)=='u') ? UNIT \
62 : INVALID)
63
64
65inline bool check_op(const char* op)
66{
67 return OP(*op)!=0xff;
68}
69
70inline bool check_side(const char* side)
71{
72 return SIDE(*side)!=0xff;
73}
74
75inline bool check_uplo(const char* uplo)
76{
77 return UPLO(*uplo)!=0xff;
78}
79
80
81namespace Eigen {
82#include "BandTriangularSolver.h"
83#include "GeneralRank1Update.h"
84#include "PackedSelfadjointProduct.h"
85#include "PackedTriangularMatrixVector.h"
86#include "PackedTriangularSolverVector.h"
87#include "Rank2Update.h"
88}
89
90using namespace Eigen;
91
92typedef SCALAR Scalar;
93typedef NumTraits<Scalar>::Real RealScalar;
94typedef std::complex<RealScalar> Complex;
95
96enum
97{
99 Conj = IsComplex
100};
101
107
108template<typename T>
110matrix(T* data, int rows, int cols, int stride)
111{
112 return Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
113}
114
115template<typename T>
117matrix(const T* data, int rows, int cols, int stride)
118{
119 return Map<const Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
120}
121
122template<typename T>
123Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(T* data, int size, int incr)
124{
126}
127
128template<typename T>
129Map<const Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(const T* data, int size, int incr)
130{
132}
133
134template<typename T>
135Map<Matrix<T,Dynamic,1> > make_vector(T* data, int size)
136{
137 return Map<Matrix<T,Dynamic,1> >(data, size);
138}
139
140template<typename T>
141Map<const Matrix<T,Dynamic,1> > make_vector(const T* data, int size)
142{
143 return Map<const Matrix<T,Dynamic,1> >(data, size);
144}
145
146template<typename T>
147T* get_compact_vector(T* x, int n, int incx)
148{
149 if(incx==1)
150 return x;
151
152 typename Eigen::internal::remove_const<T>::type* ret = new Scalar[n];
153 if(incx<0) make_vector(ret,n) = make_vector(x,n,-incx).reverse();
154 else make_vector(ret,n) = make_vector(x,n, incx);
155 return ret;
156}
157
158template<typename T>
159T* copy_back(T* x_cpy, T* x, int n, int incx)
160{
161 if(x_cpy==x)
162 return 0;
163
164 if(incx<0) make_vector(x,n,-incx).reverse() = make_vector(x_cpy,n);
165 else make_vector(x,n, incx) = make_vector(x_cpy,n);
166 return x_cpy;
167}
168
169#ifndef EIGEN_BLAS_FUNC_SUFFIX
170#define EIGEN_BLAS_FUNC_SUFFIX _
171#endif
172
173#define EIGEN_BLAS_FUNC(X) EIGEN_CAT(SCALAR_SUFFIX, EIGEN_CAT(X, EIGEN_BLAS_FUNC_SUFFIX))
174
175#endif // EIGEN_BLAS_COMMON_H
Convenience specialization of Stride to specify only an inner stride See class Map for some examples.
Definition Stride.h:100
A matrix or vector expression mapping an existing array of data.
Definition Map.h:96
The matrix class, also used for vectors and row-vectors.
Definition Matrix.h:180
Namespace containing all symbols from the Eigen library.
Definition common.h:81
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
Definition NumTraits.h:233