/usr/include/opengm/functions/squared_difference.hxx is in libopengm-dev 2.3.6+20160905-1build2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 | #pragma once
#ifndef OPENGM_SQUARED_DIFFERENCE_FUNCTION_HXX
#define OPENGM_SQUARED_DIFFERENCE_FUNCTION_HXX
#include "opengm/opengm.hxx"
#include "opengm/functions/function_registration.hxx"
#include "opengm/functions/function_properties_base.hxx"
namespace opengm {
/// squared difference of the labels of two variables
///
/// \ingroup functions
template<class T, class I = size_t, class L = size_t>
class SquaredDifferenceFunction
: public FunctionBase<SquaredDifferenceFunction<T, I, L>, T, I, L>
{
public:
typedef T ValueType;
typedef I IndexType;
typedef L LabelType;
SquaredDifferenceFunction(const LabelType = 2, const LabelType = 2,
const ValueType = 1);
size_t shape(const IndexType) const;
size_t size() const;
size_t dimension() const;
T weight() const;
template<class ITERATOR> T operator()(ITERATOR) const;
private:
size_t numberOfLabels1_;
size_t numberOfLabels2_;
T weight_;
};
/// \cond HIDDEN_SYMBOLS
/// FunctionRegistration
template <class T, class I, class L>
struct FunctionRegistration<SquaredDifferenceFunction<T, I, L> > {
enum ID { Id = opengm::FUNCTION_TYPE_ID_OFFSET + 4 };
};
/// FunctionSerialization
template <class T, class I, class L>
class FunctionSerialization<SquaredDifferenceFunction<T, I, L> > {
public:
typedef typename SquaredDifferenceFunction<T, I, L>::ValueType ValueType;
static size_t indexSequenceSize(const SquaredDifferenceFunction<T, I, L>&);
static size_t valueSequenceSize(const SquaredDifferenceFunction<T, I, L>&);
template<class INDEX_OUTPUT_ITERATOR, class VALUE_OUTPUT_ITERATOR >
static void serialize(const SquaredDifferenceFunction<T, I, L>&, INDEX_OUTPUT_ITERATOR, VALUE_OUTPUT_ITERATOR);
template<class INDEX_INPUT_ITERATOR , class VALUE_INPUT_ITERATOR>
static void deserialize(INDEX_INPUT_ITERATOR, VALUE_INPUT_ITERATOR, SquaredDifferenceFunction<T, I, L>&);
};
/// \endcond
/// constructor
/// \param numberOfLabels1 number of labels of the first variable
/// \param numberOfLabels2 number of labels of the second variable
/// \param weight weight
template <class T, class I, class L>
inline
SquaredDifferenceFunction<T, I, L>::SquaredDifferenceFunction
(
const LabelType numberOfStates1,
const LabelType numberOfStates2,
const ValueType weight
)
: numberOfLabels1_(numberOfStates1),
numberOfLabels2_(numberOfStates2),
weight_(weight)
{}
template <class T, class I, class L>
template <class ITERATOR>
inline T
SquaredDifferenceFunction<T, I, L>::operator()
(
ITERATOR begin
) const {
T value = begin[0];
value -= begin[1];
return value*value*weight_;
}
/// extension a value table encoding this function would have
///
/// \param i dimension
template <class T, class I, class L>
inline size_t
SquaredDifferenceFunction<T, I, L>::shape(
const IndexType i
) const {
OPENGM_ASSERT(i < 2);
return (i==0 ? numberOfLabels1_ : numberOfLabels2_);
}
template <class T, class I, class L>
inline T
SquaredDifferenceFunction<T, I, L>::weight() const {
return weight_;
}
// order (number of variables) of the function
template <class T, class I, class L>
inline size_t
SquaredDifferenceFunction<T, I, L>::dimension() const {
return 2;
}
/// number of entries a value table encoding this function would have (used for I/O)
template <class T, class I, class L>
inline size_t
SquaredDifferenceFunction<T, I, L>::size() const {
return numberOfLabels1_ * numberOfLabels2_;
}
template <class T, class I, class L>
inline size_t
FunctionSerialization<SquaredDifferenceFunction<T, I, L> >::indexSequenceSize
(
const SquaredDifferenceFunction<T, I, L>& src
) {
return 2;
}
template <class T, class I, class L>
inline size_t
FunctionSerialization<SquaredDifferenceFunction<T, I, L> >::valueSequenceSize
(
const SquaredDifferenceFunction<T, I, L>& src
) {
return 1;
}
template <class T, class I, class L>
template<class INDEX_OUTPUT_ITERATOR, class VALUE_OUTPUT_ITERATOR >
inline void
FunctionSerialization<SquaredDifferenceFunction<T, I, L> >::serialize
(
const SquaredDifferenceFunction<T, I, L>& src,
INDEX_OUTPUT_ITERATOR indexOutIterator,
VALUE_OUTPUT_ITERATOR valueOutIterator
) {
*indexOutIterator = src.shape(0);
++indexOutIterator;
*indexOutIterator = src.shape(1);
*valueOutIterator =src.weight();
}
template <class T, class I, class L>
template<class INDEX_INPUT_ITERATOR, class VALUE_INPUT_ITERATOR >
inline void
FunctionSerialization<SquaredDifferenceFunction<T, I, L> >::deserialize
(
INDEX_INPUT_ITERATOR indexInIterator,
VALUE_INPUT_ITERATOR valueInIterator,
SquaredDifferenceFunction<T, I, L>& dst
) {
const size_t shape0=*indexInIterator;
++indexInIterator;
dst = SquaredDifferenceFunction<T, I, L>(shape0, *indexInIterator, *valueInIterator);
}
} // namespace opengm
#endif // OPENGM_SQUARED_DIFFERENCE_FUNCTION_HXX
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