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
|
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
// Copyright (C) 2014-2015 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_TENSORSTORAGE_H
#define EIGEN_CXX11_TENSOR_TENSORSTORAGE_H
#ifdef EIGEN_TENSOR_STORAGE_CTOR_PLUGIN
#define EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN EIGEN_TENSOR_STORAGE_CTOR_PLUGIN;
#else
#define EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN
#endif
namespace Eigen {
/** \internal
*
* \class TensorStorage
* \ingroup CXX11_Tensor_Module
*
* \brief Stores the data of a tensor
*
* This class stores the data of fixed-size, dynamic-size or mixed tensors
* in a way as compact as possible.
*
* \sa Tensor
*/
template<typename T, typename Dimensions, int Options_> class TensorStorage;
// Pure fixed-size storage
template<typename T, int Options_, typename FixedDimensions>
class TensorStorage<T, FixedDimensions, Options_>
{
private:
static const std::size_t Size = FixedDimensions::total_size;
// Allocate an array of size at least one to prevent compiler warnings.
static const std::size_t MinSize = max_n_1<Size>::size;
EIGEN_ALIGN_MAX T m_data[MinSize];
FixedDimensions m_dimensions;
public:
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE TensorStorage() {
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T *data() { return m_data; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T *data() const { return m_data; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const FixedDimensions& dimensions() const { return m_dimensions; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE DenseIndex size() const { return m_dimensions.TotalSize(); }
};
// pure dynamic
template<typename T, int Options_, typename IndexType, int NumIndices_>
class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_>
{
public:
typedef IndexType Index;
typedef DSizes<IndexType, NumIndices_> Dimensions;
typedef TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_> Self;
EIGEN_DEVICE_FUNC TensorStorage() : m_data(0), m_dimensions() {
if (NumIndices_ == 0) {
m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(1);
}
}
EIGEN_DEVICE_FUNC TensorStorage(internal::constructor_without_unaligned_array_assert)
: m_data(0), m_dimensions(internal::template repeat<NumIndices_, Index>(0)) {}
EIGEN_DEVICE_FUNC TensorStorage(Index size, const array<Index, NumIndices_>& dimensions)
: m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size)), m_dimensions(dimensions)
{ EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN }
#if EIGEN_HAS_VARIADIC_TEMPLATES
template <typename... DenseIndex>
EIGEN_DEVICE_FUNC TensorStorage(DenseIndex... indices) : m_dimensions(indices...) {
m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(m_dimensions));
}
#endif
EIGEN_DEVICE_FUNC TensorStorage(const Self& other)
: m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(other.m_dimensions)))
, m_dimensions(other.m_dimensions)
{
internal::smart_copy(other.m_data, other.m_data+internal::array_prod(other.m_dimensions), m_data);
}
EIGEN_DEVICE_FUNC Self& operator=(const Self& other)
{
if (this != &other) {
Self tmp(other);
this->swap(tmp);
}
return *this;
}
EIGEN_DEVICE_FUNC ~TensorStorage() { internal::conditional_aligned_delete_auto<T,(Options_&DontAlign)==0>(m_data, internal::array_prod(m_dimensions)); }
EIGEN_DEVICE_FUNC void swap(Self& other)
{ numext::swap(m_data,other.m_data); numext::swap(m_dimensions,other.m_dimensions); }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const {return m_dimensions;}
EIGEN_DEVICE_FUNC void resize(Index size, const array<Index, NumIndices_>& nbDimensions)
{
const Index currentSz = internal::array_prod(m_dimensions);
if(size != currentSz)
{
internal::conditional_aligned_delete_auto<T,(Options_&DontAlign)==0>(m_data, currentSz);
if (size)
m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size);
else if (NumIndices_ == 0) {
m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(1);
}
else
m_data = 0;
EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
}
m_dimensions = nbDimensions;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T *data() { return m_data; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const T *data() const { return m_data; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index size() const { return m_dimensions.TotalSize(); }
private:
T *m_data;
Dimensions m_dimensions;
};
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSORSTORAGE_H
|
