File size: 4,751 Bytes
c87d79d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 |
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ALLANDANY_H
#define EIGEN_ALLANDANY_H
namespace Eigen {
namespace internal {
template<typename Derived, int UnrollCount, int InnerSize>
struct all_unroller
{
enum {
IsRowMajor = (int(Derived::Flags) & int(RowMajor)),
i = (UnrollCount-1) / InnerSize,
j = (UnrollCount-1) % InnerSize
};
EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
{
return all_unroller<Derived, UnrollCount-1, InnerSize>::run(mat) && mat.coeff(IsRowMajor ? i : j, IsRowMajor ? j : i);
}
};
template<typename Derived, int InnerSize>
struct all_unroller<Derived, 0, InnerSize>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &/*mat*/) { return true; }
};
template<typename Derived, int InnerSize>
struct all_unroller<Derived, Dynamic, InnerSize>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};
template<typename Derived, int UnrollCount, int InnerSize>
struct any_unroller
{
enum {
IsRowMajor = (int(Derived::Flags) & int(RowMajor)),
i = (UnrollCount-1) / InnerSize,
j = (UnrollCount-1) % InnerSize
};
EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
{
return any_unroller<Derived, UnrollCount-1, InnerSize>::run(mat) || mat.coeff(IsRowMajor ? i : j, IsRowMajor ? j : i);
}
};
template<typename Derived, int InnerSize>
struct any_unroller<Derived, 0, InnerSize>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived & /*mat*/) { return false; }
};
template<typename Derived, int InnerSize>
struct any_unroller<Derived, Dynamic, InnerSize>
{
EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};
} // end namespace internal
/** \returns true if all coefficients are true
*
* Example: \include MatrixBase_all.cpp
* Output: \verbinclude MatrixBase_all.out
*
* \sa any(), Cwise::operator<()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const
{
typedef internal::evaluator<Derived> Evaluator;
enum {
unroll = SizeAtCompileTime != Dynamic
&& SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
};
Evaluator evaluator(derived());
if(unroll)
return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, InnerSizeAtCompileTime>::run(evaluator);
else
{
for(Index i = 0; i < derived().outerSize(); ++i)
for(Index j = 0; j < derived().innerSize(); ++j)
if (!evaluator.coeff(IsRowMajor ? i : j, IsRowMajor ? j : i)) return false;
return true;
}
}
/** \returns true if at least one coefficient is true
*
* \sa all()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const
{
typedef internal::evaluator<Derived> Evaluator;
enum {
unroll = SizeAtCompileTime != Dynamic
&& SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
};
Evaluator evaluator(derived());
if(unroll)
return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, InnerSizeAtCompileTime>::run(evaluator);
else
{
for(Index i = 0; i < derived().outerSize(); ++i)
for(Index j = 0; j < derived().innerSize(); ++j)
if (evaluator.coeff(IsRowMajor ? i : j, IsRowMajor ? j : i)) return true;
return false;
}
}
/** \returns the number of coefficients which evaluate to true
*
* \sa all(), any()
*/
template<typename Derived>
EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const
{
return derived().template cast<bool>().template cast<Index>().sum();
}
/** \returns true is \c *this contains at least one Not A Number (NaN).
*
* \sa allFinite()
*/
template<typename Derived>
inline bool DenseBase<Derived>::hasNaN() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
return derived().array().isNaN().any();
#else
return !((derived().array()==derived().array()).all());
#endif
}
/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
*
* \sa hasNaN()
*/
template<typename Derived>
inline bool DenseBase<Derived>::allFinite() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
return derived().array().isFinite().all();
#else
return !((derived()-derived()).hasNaN());
#endif
}
} // end namespace Eigen
#endif // EIGEN_ALLANDANY_H
|