* rename XprCopy -> Nested

* rename OperatorEquals -> Assign
* move Util.h and FwDecl.h to a util/ subdir
This commit is contained in:
Benoit Jacob
2008-04-10 09:01:28 +00:00
parent 212da8ffe0
commit 9d8876ce82
19 changed files with 92 additions and 80 deletions

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FILE(GLOB Eigen_Core_util_SRCS "*.h")
INSTALL(FILES
${Eigen_Core_SRCS}
DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen/src/Core/util
)

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// 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_FORWARDDECLARATIONS_H
#define EIGEN_FORWARDDECLARATIONS_H
template<typename T> struct ei_traits;
template<typename Lhs, typename Rhs> struct ei_product_eval_mode;
template<typename T> struct NumTraits;
template<typename _Scalar, int _Rows, int _Cols, unsigned int _Flags, int _MaxRows, int _MaxCols> class Matrix;
template<typename ExpressionType> class Lazy;
template<typename ExpressionType> class Temporary;
template<typename MatrixType> class Minor;
template<typename MatrixType, int BlockRows=Dynamic, int BlockCols=Dynamic> class Block;
template<typename MatrixType> class Transpose;
template<typename MatrixType> class Conjugate;
template<typename BinaryOp, typename Lhs, typename Rhs> class CwiseBinaryOp;
template<typename UnaryOp, typename MatrixType> class CwiseUnaryOp;
template<typename Lhs, typename Rhs, int EvalMode=ei_product_eval_mode<Lhs,Rhs>::value> class Product;
template<typename MatrixType> class Random;
template<typename MatrixType> class Zero;
template<typename MatrixType> class Ones;
template<typename CoeffsVectorType> class DiagonalMatrix;
template<typename MatrixType> class DiagonalCoeffs;
template<typename MatrixType> class Identity;
template<typename MatrixType> class Map;
template<typename Derived> class Eval;
template<typename Derived> class EvalOMP;
template<int Direction, typename UnaryOp, typename MatrixType> class PartialRedux;
template<typename Scalar> struct ei_scalar_sum_op;
template<typename Scalar> struct ei_scalar_difference_op;
template<typename Scalar> struct ei_scalar_product_op;
template<typename Scalar> struct ei_scalar_quotient_op;
template<typename Scalar> struct ei_scalar_opposite_op;
template<typename Scalar> struct ei_scalar_conjugate_op;
template<typename Scalar> struct ei_scalar_abs_op;
template<typename Scalar> struct ei_scalar_abs2_op;
template<typename Scalar> struct ei_scalar_sqrt_op;
template<typename Scalar> struct ei_scalar_exp_op;
template<typename Scalar> struct ei_scalar_log_op;
template<typename Scalar> struct ei_scalar_cos_op;
template<typename Scalar> struct ei_scalar_sin_op;
template<typename Scalar> struct ei_scalar_pow_op;
template<typename Scalar, typename NewType> struct ei_scalar_cast_op;
template<typename Scalar, bool IsVectorizable> struct ei_scalar_multiple_op;
template<typename Scalar> struct ei_scalar_quotient1_op;
template<typename Scalar> struct ei_scalar_min_op;
template<typename Scalar> struct ei_scalar_max_op;
template<typename T> struct ei_eval
{
typedef Matrix<typename ei_traits<T>::Scalar,
ei_traits<T>::RowsAtCompileTime,
ei_traits<T>::ColsAtCompileTime,
ei_traits<T>::Flags & ~(EvalBeforeNestingBit | EvalBeforeAssigningBit),
ei_traits<T>::MaxRowsAtCompileTime,
ei_traits<T>::MaxColsAtCompileTime> type;
};
template<typename T> struct ei_unref { typedef T type; };
template<typename T> struct ei_unref<T&> { typedef T type; };
template<typename T> struct ei_is_temporary
{
enum { ret = 0 };
};
template<typename T> struct ei_is_temporary<Temporary<T> >
{
enum { ret = 1 };
};
template<typename T, int n=1> struct ei_nested
{
typedef typename ei_meta_if<
ei_is_temporary<T>::ret,
T,
typename ei_meta_if<
ei_traits<T>::Flags & EvalBeforeNestingBit
|| (n+1) * NumTraits<typename ei_traits<T>::Scalar>::ReadCost < (n-1) * T::CoeffReadCost,
typename ei_eval<T>::type,
const T&
>::ret
>::ret type;
};
template<typename T> struct ei_functor_traits
{
enum
{
Cost = 10,
IsVectorizable = false
};
};
template<typename T> struct ei_packet_traits
{
typedef T type;
enum {size=1};
};
#endif // EIGEN_FORWARDDECLARATIONS_H

273
Eigen/src/Core/util/Util.h Normal file
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// 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_UTIL_H
#define EIGEN_UTIL_H
#ifdef EIGEN_VECTORIZE
#ifdef EIGEN_INTEL_PLATFORM
#include <emmintrin.h>
#include <xmmintrin.h>
#else
#undef EIGEN_VECTORIZE
#endif
#endif
#ifdef EIGEN_DONT_USE_UNROLLED_LOOPS
#define EIGEN_UNROLLING_LIMIT 0
#endif
/** Defines the maximal loop size to enable meta unrolling of loops */
#ifndef EIGEN_UNROLLING_LIMIT
#define EIGEN_UNROLLING_LIMIT 400
#endif
#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER RowMajorBit
#else
#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER 0
#endif
#undef minor
#define USING_PART_OF_NAMESPACE_EIGEN \
EIGEN_USING_MATRIX_TYPEDEFS \
using Eigen::Matrix; \
using Eigen::MatrixBase;
#ifdef NDEBUG
#define EIGEN_NO_DEBUG
#endif
#ifndef ei_assert
#ifdef EIGEN_NO_DEBUG
#define ei_assert(x)
#else
#define ei_assert(x) assert(x)
#endif
#endif
#ifdef EIGEN_INTERNAL_DEBUGGING
#define ei_internal_assert(x) ei_assert(x);
#else
#define ei_internal_assert(x)
#endif
#ifdef EIGEN_NO_DEBUG
#define EIGEN_ONLY_USED_FOR_DEBUG(x) (void)x
#else
#define EIGEN_ONLY_USED_FOR_DEBUG(x)
#endif
// FIXME with the always_inline attribute,
// gcc 3.4.x reports the following compilation error:
// Eval.h:91: sorry, unimplemented: inlining failed in call to 'const Eigen::Eval<Derived> Eigen::MatrixBase<Scalar, Derived>::eval() const'
// : function body not available
#if (defined __GNUC__) && (__GNUC__!=3)
#define EIGEN_ALWAYS_INLINE __attribute__((always_inline))
#else
#define EIGEN_ALWAYS_INLINE
#endif
#if (defined __GNUC__)
#define EIGEN_ALIGN_128 __attribute__ ((aligned(16)))
#else
#define EIGEN_ALIGN_128
#endif
#define EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
template<typename OtherDerived> \
Derived& operator Op(const MatrixBase<OtherDerived>& other) \
{ \
return Eigen::MatrixBase<Derived>::operator Op(other); \
} \
Derived& operator Op(const Derived& other) \
{ \
return Eigen::MatrixBase<Derived>::operator Op(other); \
}
#define EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
template<typename Other> \
Derived& operator Op(const Other& scalar) \
{ \
return Eigen::MatrixBase<Derived>::operator Op(scalar); \
}
#define EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
#define _EIGEN_GENERIC_PUBLIC_INTERFACE(Derived, BaseClass) \
typedef BaseClass Base; \
typedef typename Eigen::ei_traits<Derived>::Scalar Scalar; \
typedef typename Base::PacketScalar PacketScalar; \
typedef typename Eigen::ei_nested<Derived>::type Nested; \
typedef typename Eigen::ei_eval<Derived>::type Eval; \
enum { RowsAtCompileTime = Base::RowsAtCompileTime, \
ColsAtCompileTime = Base::ColsAtCompileTime, \
MaxRowsAtCompileTime = Base::MaxRowsAtCompileTime, \
MaxColsAtCompileTime = Base::MaxColsAtCompileTime, \
SizeAtCompileTime = Base::SizeAtCompileTime, \
MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \
IsVectorAtCompileTime = Base::IsVectorAtCompileTime, \
Flags = Base::Flags, \
CoeffReadCost = Base::CoeffReadCost };
#define EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
_EIGEN_GENERIC_PUBLIC_INTERFACE(Derived, Eigen::MatrixBase<Derived>) \
friend class Eigen::MatrixBase<Derived>;
#define EIGEN_ENUM_MIN(a,b) (((int)a <= (int)b) ? (int)a : (int)b)
const int Dynamic = 10000;
// matrix/expression flags
const unsigned int RowMajorBit = 0x1;
const unsigned int EvalBeforeNestingBit = 0x2;
const unsigned int EvalBeforeAssigningBit = 0x4;
const unsigned int LargeBit = 0x8;
#ifdef EIGEN_VECTORIZE
const unsigned int VectorizableBit = 0x10;
#else
const unsigned int VectorizableBit = 0x0;
#endif
enum { ConditionalJumpCost = 5 };
enum CornerType { TopLeft, TopRight, BottomLeft, BottomRight };
enum DirectionType { Vertical, Horizontal };
enum ProductEvaluationMode { UnrolledDotProduct, CacheOptimal };
// just a workaround because GCC seems to not really like empty structs
#ifdef __GNUG__
struct ei_empty_struct{char _ei_dummy_;};
#define EIGEN_EMPTY_STRUCT : Eigen::ei_empty_struct
#else
#define EIGEN_EMPTY_STRUCT
#endif
//classes inheriting ei_no_assignment_operator don't generate a default operator=.
class ei_no_assignment_operator
{
private:
ei_no_assignment_operator& operator=(const ei_no_assignment_operator&);
};
template<int Value> class ei_int_if_dynamic EIGEN_EMPTY_STRUCT
{
public:
ei_int_if_dynamic() {}
explicit ei_int_if_dynamic(int) {}
static int value() { return Value; }
void setValue(int) {}
};
template<> class ei_int_if_dynamic<Dynamic>
{
int m_value;
ei_int_if_dynamic() {}
public:
explicit ei_int_if_dynamic(int value) : m_value(value) {}
int value() const { return m_value; }
void setValue(int value) { m_value = value; }
};
template <bool Condition, class Then, class Else>
struct ei_meta_if { typedef Then ret; };
template <class Then, class Else>
struct ei_meta_if <false, Then, Else> { typedef Else ret; };
template<typename T, typename U> struct ei_is_same_type { enum { ret = 0 }; };
template<typename T> struct ei_is_same_type<T,T> { enum { ret = 1 }; };
/** \internal
* Convenient struct to get the result type of a unary or binary functor.
*
* It supports both the current STL mechanism (using the result_type member) as well as
* upcoming next STL generation (using a templated result member).
* If none of these members is provided, then the type of the first argument is returned.
*/
template<typename T> struct ei_result_of {};
struct ei_has_none {int a[1];};
struct ei_has_std_result_type {int a[2];};
struct ei_has_tr1_result {int a[3];};
template<typename Func, typename ArgType, int SizeOf=sizeof(ei_has_none)>
struct ei_unary_result_of_select {typedef ArgType type;};
template<typename Func, typename ArgType>
struct ei_unary_result_of_select<Func, ArgType, sizeof(ei_has_std_result_type)> {typedef typename Func::result_type type;};
template<typename Func, typename ArgType>
struct ei_unary_result_of_select<Func, ArgType, sizeof(ei_has_tr1_result)> {typedef typename Func::template result<Func(ArgType)>::type type;};
template<typename Func, typename ArgType>
struct ei_result_of<Func(ArgType)> {
template<typename T>
static ei_has_std_result_type testFunctor(T const *, typename T::result_type const * = 0);
template<typename T>
static ei_has_tr1_result testFunctor(T const *, typename T::template result<T(ArgType)>::type const * = 0);
static ei_has_none testFunctor(...);
// note that the following indirection is needed for gcc-3.3
enum {FunctorType = sizeof(testFunctor(static_cast<Func*>(0)))};
typedef typename ei_unary_result_of_select<Func, ArgType, FunctorType>::type type;
};
template<typename Func, typename ArgType0, typename ArgType1, int SizeOf=sizeof(ei_has_none)>
struct ei_binary_result_of_select {typedef ArgType0 type;};
template<typename Func, typename ArgType0, typename ArgType1>
struct ei_binary_result_of_select<Func, ArgType0, ArgType1, sizeof(ei_has_std_result_type)>
{typedef typename Func::result_type type;};
template<typename Func, typename ArgType0, typename ArgType1>
struct ei_binary_result_of_select<Func, ArgType0, ArgType1, sizeof(ei_has_tr1_result)>
{typedef typename Func::template result<Func(ArgType0,ArgType1)>::type type;};
template<typename Func, typename ArgType0, typename ArgType1>
struct ei_result_of<Func(ArgType0,ArgType1)> {
template<typename T>
static ei_has_std_result_type testFunctor(T const *, typename T::result_type const * = 0);
template<typename T>
static ei_has_tr1_result testFunctor(T const *, typename T::template result<T(ArgType0,ArgType1)>::type const * = 0);
static ei_has_none testFunctor(...);
// note that the following indirection is needed for gcc-3.3
enum {FunctorType = sizeof(testFunctor(static_cast<Func*>(0)))};
typedef typename ei_binary_result_of_select<Func, ArgType0, ArgType1, FunctorType>::type type;
};
#endif // EIGEN_UTIL_H