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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 #include "../Eigen/Core"
14 #include "../Eigen/Jacobi"
15 
16 #include <complex>
17 
18 #ifndef SCALAR
19 #error the token SCALAR must be defined to compile this file
20 #endif
21 
22 #include "../Eigen/src/misc/blas.h"
23 
24 #define NOTR    0
25 #define TR      1
26 #define ADJ     2
27 
28 #define LEFT    0
29 #define RIGHT   1
30 
31 #define UP      0
32 #define LO      1
33 
34 #define NUNIT   0
35 #define UNIT    1
36 
37 #define INVALID 0xff
38 
39 #define OP(X)   (   ((X)=='N' || (X)=='n') ? NOTR   \
40                   : ((X)=='T' || (X)=='t') ? TR     \
41                   : ((X)=='C' || (X)=='c') ? ADJ    \
42                   : INVALID)
43 
44 #define SIDE(X) (   ((X)=='L' || (X)=='l') ? LEFT   \
45                   : ((X)=='R' || (X)=='r') ? RIGHT  \
46                   : INVALID)
47 
48 #define UPLO(X) (   ((X)=='U' || (X)=='u') ? UP     \
49                   : ((X)=='L' || (X)=='l') ? LO     \
50                   : INVALID)
51 
52 #define DIAG(X) (   ((X)=='N' || (X)=='n') ? NUNIT  \
53                   : ((X)=='U' || (X)=='u') ? UNIT   \
54                   : INVALID)
55 
56 
check_op(const char * op)57 inline bool check_op(const char* op)
58 {
59   return OP(*op)!=0xff;
60 }
61 
check_side(const char * side)62 inline bool check_side(const char* side)
63 {
64   return SIDE(*side)!=0xff;
65 }
66 
check_uplo(const char * uplo)67 inline bool check_uplo(const char* uplo)
68 {
69   return UPLO(*uplo)!=0xff;
70 }
71 
72 
73 namespace Eigen {
74 #include "BandTriangularSolver.h"
75 #include "GeneralRank1Update.h"
76 #include "PackedSelfadjointProduct.h"
77 #include "PackedTriangularMatrixVector.h"
78 #include "PackedTriangularSolverVector.h"
79 #include "Rank2Update.h"
80 }
81 
82 using namespace Eigen;
83 
84 typedef SCALAR Scalar;
85 typedef NumTraits<Scalar>::Real RealScalar;
86 typedef std::complex<RealScalar> Complex;
87 
88 enum
89 {
90   IsComplex = Eigen::NumTraits<SCALAR>::IsComplex,
91   Conj = IsComplex
92 };
93 
94 typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
95 typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > MatrixType;
96 typedef Map<const Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > ConstMatrixType;
97 typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedVectorType;
98 typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType;
99 
100 template<typename T>
101 Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >
matrix(T * data,int rows,int cols,int stride)102 matrix(T* data, int rows, int cols, int stride)
103 {
104   return Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
105 }
106 
107 template<typename T>
108 Map<const Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >
matrix(const T * data,int rows,int cols,int stride)109 matrix(const T* data, int rows, int cols, int stride)
110 {
111   return Map<const Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
112 }
113 
114 template<typename T>
make_vector(T * data,int size,int incr)115 Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(T* data, int size, int incr)
116 {
117   return Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> >(data, size, InnerStride<Dynamic>(incr));
118 }
119 
120 template<typename T>
make_vector(const T * data,int size,int incr)121 Map<const Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(const T* data, int size, int incr)
122 {
123   return Map<const Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> >(data, size, InnerStride<Dynamic>(incr));
124 }
125 
126 template<typename T>
make_vector(T * data,int size)127 Map<Matrix<T,Dynamic,1> > make_vector(T* data, int size)
128 {
129   return Map<Matrix<T,Dynamic,1> >(data, size);
130 }
131 
132 template<typename T>
make_vector(const T * data,int size)133 Map<const Matrix<T,Dynamic,1> > make_vector(const T* data, int size)
134 {
135   return Map<const Matrix<T,Dynamic,1> >(data, size);
136 }
137 
138 template<typename T>
get_compact_vector(T * x,int n,int incx)139 T* get_compact_vector(T* x, int n, int incx)
140 {
141   if(incx==1)
142     return x;
143 
144   typename Eigen::internal::remove_const<T>::type* ret = new Scalar[n];
145   if(incx<0) make_vector(ret,n) = make_vector(x,n,-incx).reverse();
146   else       make_vector(ret,n) = make_vector(x,n, incx);
147   return ret;
148 }
149 
150 template<typename T>
copy_back(T * x_cpy,T * x,int n,int incx)151 T* copy_back(T* x_cpy, T* x, int n, int incx)
152 {
153   if(x_cpy==x)
154     return 0;
155 
156   if(incx<0) make_vector(x,n,-incx).reverse() = make_vector(x_cpy,n);
157   else       make_vector(x,n, incx)           = make_vector(x_cpy,n);
158   return x_cpy;
159 }
160 
161 #define EIGEN_BLAS_FUNC(X) EIGEN_CAT(SCALAR_SUFFIX,X##_)
162 
163 #endif // EIGEN_BLAS_COMMON_H
164