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cs440-acg/ext/eigen/blas/common.h
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163
cs440-acg/ext/eigen/blas/common.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_BLAS_COMMON_H
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#define EIGEN_BLAS_COMMON_H
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#include "../Eigen/Core"
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#include "../Eigen/Jacobi"
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#include <complex>
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#ifndef SCALAR
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#error the token SCALAR must be defined to compile this file
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#endif
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#include "../Eigen/src/misc/blas.h"
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#define NOTR 0
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#define TR 1
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#define ADJ 2
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#define LEFT 0
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#define RIGHT 1
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#define UP 0
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#define LO 1
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#define NUNIT 0
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#define UNIT 1
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#define INVALID 0xff
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#define OP(X) ( ((X)=='N' || (X)=='n') ? NOTR \
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: ((X)=='T' || (X)=='t') ? TR \
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: ((X)=='C' || (X)=='c') ? ADJ \
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: INVALID)
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#define SIDE(X) ( ((X)=='L' || (X)=='l') ? LEFT \
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: ((X)=='R' || (X)=='r') ? RIGHT \
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: INVALID)
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#define UPLO(X) ( ((X)=='U' || (X)=='u') ? UP \
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: ((X)=='L' || (X)=='l') ? LO \
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: INVALID)
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#define DIAG(X) ( ((X)=='N' || (X)=='n') ? NUNIT \
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: ((X)=='U' || (X)=='u') ? UNIT \
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: INVALID)
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inline bool check_op(const char* op)
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{
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return OP(*op)!=0xff;
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}
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inline bool check_side(const char* side)
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{
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return SIDE(*side)!=0xff;
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}
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inline bool check_uplo(const char* uplo)
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{
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return UPLO(*uplo)!=0xff;
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}
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namespace Eigen {
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#include "BandTriangularSolver.h"
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#include "GeneralRank1Update.h"
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#include "PackedSelfadjointProduct.h"
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#include "PackedTriangularMatrixVector.h"
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#include "PackedTriangularSolverVector.h"
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#include "Rank2Update.h"
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}
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using namespace Eigen;
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typedef SCALAR Scalar;
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typedef NumTraits<Scalar>::Real RealScalar;
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typedef std::complex<RealScalar> Complex;
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enum
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{
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IsComplex = Eigen::NumTraits<SCALAR>::IsComplex,
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Conj = IsComplex
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};
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typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
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typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > MatrixType;
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typedef Map<const Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > ConstMatrixType;
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typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedVectorType;
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typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType;
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template<typename T>
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Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >
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matrix(T* data, int rows, int cols, int stride)
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{
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return Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
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}
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template<typename T>
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Map<const Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >
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matrix(const T* data, int rows, int cols, int stride)
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{
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return Map<const Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride));
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}
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template<typename T>
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Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(T* data, int size, int incr)
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{
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return Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> >(data, size, InnerStride<Dynamic>(incr));
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}
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template<typename T>
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Map<const Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > make_vector(const T* data, int size, int incr)
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{
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return Map<const Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> >(data, size, InnerStride<Dynamic>(incr));
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}
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template<typename T>
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Map<Matrix<T,Dynamic,1> > make_vector(T* data, int size)
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{
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return Map<Matrix<T,Dynamic,1> >(data, size);
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}
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template<typename T>
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Map<const Matrix<T,Dynamic,1> > make_vector(const T* data, int size)
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{
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return Map<const Matrix<T,Dynamic,1> >(data, size);
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}
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template<typename T>
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T* get_compact_vector(T* x, int n, int incx)
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{
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if(incx==1)
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return x;
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typename Eigen::internal::remove_const<T>::type* ret = new Scalar[n];
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if(incx<0) make_vector(ret,n) = make_vector(x,n,-incx).reverse();
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else make_vector(ret,n) = make_vector(x,n, incx);
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return ret;
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}
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template<typename T>
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T* copy_back(T* x_cpy, T* x, int n, int incx)
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{
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if(x_cpy==x)
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return 0;
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if(incx<0) make_vector(x,n,-incx).reverse() = make_vector(x_cpy,n);
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else make_vector(x,n, incx) = make_vector(x_cpy,n);
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return x_cpy;
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}
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#define EIGEN_BLAS_FUNC(X) EIGEN_CAT(SCALAR_SUFFIX,X##_)
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#endif // EIGEN_BLAS_COMMON_H
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