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
|
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// 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_CXX11_TENSOR_TENSOR_META_H
#define EIGEN_CXX11_TENSOR_TENSOR_META_H
namespace Eigen {
template<bool cond> struct Cond {};
template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
const T1& choose(Cond<true>, const T1& first, const T2&) {
return first;
}
template<typename T1, typename T2> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
const T2& choose(Cond<false>, const T1&, const T2& second) {
return second;
}
template <typename T> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
T divup(const T x, const T y) {
return (x + y - 1) / y;
}
template <size_t n> struct max_n_1 {
static const size_t size = n;
};
template <> struct max_n_1<0> {
static const size_t size = 1;
};
// Default packet types
template <typename Scalar, typename Device>
struct PacketType {
typedef typename internal::packet_traits<Scalar>::type type;
enum { size = internal::unpacket_traits<type>::size };
};
// For CUDA packet types when using a GpuDevice
#if defined(EIGEN_USE_GPU) && defined(__CUDACC__)
template <>
struct PacketType<float, GpuDevice> {
typedef float4 type;
static const int size = 4;
};
template <>
struct PacketType<double, GpuDevice> {
typedef double2 type;
static const int size = 2;
};
#endif
// Tuple mimics std::pair but works on e.g. nvcc.
template <typename U, typename V> struct Tuple {
public:
U first;
V second;
typedef U first_type;
typedef V second_type;
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Tuple() : first(), second() {}
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Tuple(const U& f, const V& s) : first(f), second(s) {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
Tuple& operator= (const Tuple& rhs) {
if (&rhs == this) return *this;
first = rhs.first;
second = rhs.second;
return *this;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
void swap(Tuple& rhs) {
using numext::swap;
swap(first, rhs.first);
swap(second, rhs.second);
}
};
template <typename U, typename V>
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
bool operator==(const Tuple<U, V>& x, const Tuple<U, V>& y) {
return (x.first == y.first && x.second == y.second);
}
template <typename U, typename V>
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
bool operator!=(const Tuple<U, V>& x, const Tuple<U, V>& y) {
return !(x == y);
}
#ifdef EIGEN_HAS_SFINAE
namespace internal {
template<typename IndexType, Index... Is>
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
array<Index, sizeof...(Is)> customIndices2Array(IndexType& idx, numeric_list<Index, Is...>) {
return { idx[Is]... };
}
template<typename IndexType>
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
array<Index, 0> customIndices2Array(IndexType&, numeric_list<Index>) {
return array<Index, 0>();
}
/** Make an array (for index/dimensions) out of a custom index */
template<typename Index, std::size_t NumIndices, typename IndexType>
EIGEN_CONSTEXPR EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
array<Index, NumIndices> customIndices2Array(IndexType& idx) {
return customIndices2Array(idx, typename gen_numeric_list<Index, NumIndices>::type{});
}
template <typename B, typename D>
struct is_base_of
{
typedef char (&yes)[1];
typedef char (&no)[2];
template <typename BB, typename DD>
struct Host
{
operator BB*() const;
operator DD*();
};
template<typename T>
static yes check(D*, T);
static no check(B*, int);
static const bool value = sizeof(check(Host<B,D>(), int())) == sizeof(yes);
};
}
#endif
} // namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_META_H
|
