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TensorStorage.h
1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
5 // Copyright (C) 2014-2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
6 //
7 // This Source Code Form is subject to the terms of the Mozilla
8 // Public License v. 2.0. If a copy of the MPL was not distributed
9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10 
11 #ifndef EIGEN_CXX11_TENSOR_TENSORSTORAGE_H
12 #define EIGEN_CXX11_TENSOR_TENSORSTORAGE_H
13 
14 #ifdef EIGEN_TENSOR_STORAGE_CTOR_PLUGIN
15  #define EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN EIGEN_TENSOR_STORAGE_CTOR_PLUGIN;
16 #else
17  #define EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN
18 #endif
19 
20 namespace Eigen {
21 
34 template<typename T, typename Dimensions, int Options> class TensorStorage;
35 
36 
37 // Pure fixed-size storage
38 template<typename T, typename FixedDimensions, int Options_>
39 class TensorStorage
40 {
41  private:
42  static const std::size_t Size = FixedDimensions::total_size;
43 
44  // Allocate an array of size at least one to prevent compiler warnings.
45  static const std::size_t MinSize = max_n_1<Size>::size;
46  EIGEN_ALIGN_MAX T m_data[MinSize];
47 
48  public:
49  EIGEN_DEVICE_FUNC
50  EIGEN_STRONG_INLINE TensorStorage() {
51  }
52 
53  EIGEN_DEVICE_FUNC
54  EIGEN_STRONG_INLINE T *data() { return m_data; }
55  EIGEN_DEVICE_FUNC
56  EIGEN_STRONG_INLINE const T *data() const { return m_data; }
57 
58  static EIGEN_DEVICE_FUNC
59  EIGEN_STRONG_INLINE const FixedDimensions& dimensions()
60  {
61  static const FixedDimensions* singleton_dimensions = new FixedDimensions();
62  return *singleton_dimensions;
63  }
64 
65  EIGEN_DEVICE_FUNC
66  EIGEN_STRONG_INLINE DenseIndex size() const { return Size; }
67 };
68 
69 // pure dynamic
70 template<typename T, typename IndexType, int NumIndices_, int Options_>
71 class TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_>
72 {
73  public:
74  typedef IndexType Index;
75  typedef DSizes<IndexType, NumIndices_> Dimensions;
76  typedef TensorStorage<T, DSizes<IndexType, NumIndices_>, Options_> Self;
77 
78  EIGEN_DEVICE_FUNC TensorStorage() : m_data(0), m_dimensions() {
79  if (NumIndices_ == 0) {
80  m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(1);
81  }
82  }
83  EIGEN_DEVICE_FUNC TensorStorage(internal::constructor_without_unaligned_array_assert)
84  : m_data(0), m_dimensions(internal::template repeat<NumIndices_, Index>(0)) {}
85  EIGEN_DEVICE_FUNC TensorStorage(Index size, const array<Index, NumIndices_>& dimensions)
86  : m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size)), m_dimensions(dimensions)
87  { EIGEN_INTERNAL_TENSOR_STORAGE_CTOR_PLUGIN }
88 
89 #if EIGEN_HAS_VARIADIC_TEMPLATES
90  template <typename... DenseIndex>
91  EIGEN_DEVICE_FUNC TensorStorage(DenseIndex... indices) : m_dimensions(indices...) {
92  m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(m_dimensions));
93  }
94 #endif
95 
96  EIGEN_DEVICE_FUNC TensorStorage(const Self& other)
97  : m_data(internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(internal::array_prod(other.m_dimensions)))
98  , m_dimensions(other.m_dimensions)
99  {
100  internal::smart_copy(other.m_data, other.m_data+internal::array_prod(other.m_dimensions), m_data);
101  }
102  EIGEN_DEVICE_FUNC Self& operator=(const Self& other)
103  {
104  if (this != &other) {
105  Self tmp(other);
106  this->swap(tmp);
107  }
108  return *this;
109  }
110 
111 #if EIGEN_HAS_RVALUE_REFERENCES
112  EIGEN_DEVICE_FUNC TensorStorage(Self&& other) : TensorStorage()
113  {
114  *this = std::move(other);
115  }
116 
117  EIGEN_DEVICE_FUNC Self& operator=(Self&& other)
118  {
119  numext::swap(m_data, other.m_data);
120  numext::swap(m_dimensions, other.m_dimensions);
121  return *this;
122  }
123 #endif
124 
125  EIGEN_DEVICE_FUNC ~TensorStorage() { internal::conditional_aligned_delete_auto<T,(Options_&DontAlign)==0>(m_data, internal::array_prod(m_dimensions)); }
126  EIGEN_DEVICE_FUNC void swap(Self& other)
127  { numext::swap(m_data,other.m_data); numext::swap(m_dimensions,other.m_dimensions); }
128 
129  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const {return m_dimensions;}
130 
131  EIGEN_DEVICE_FUNC void resize(Index size, const array<Index, NumIndices_>& nbDimensions)
132  {
133  const Index currentSz = internal::array_prod(m_dimensions);
134  if(size != currentSz)
135  {
136  internal::conditional_aligned_delete_auto<T,(Options_&DontAlign)==0>(m_data, currentSz);
137  if (size)
138  m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(size);
139  else if (NumIndices_ == 0) {
140  m_data = internal::conditional_aligned_new_auto<T,(Options_&DontAlign)==0>(1);
141  }
142  else
143  m_data = 0;
144  EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
145  }
146  m_dimensions = nbDimensions;
147  }
148 
149  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T *data() { return m_data; }
150  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const T *data() const { return m_data; }
151 
152  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index size() const { return m_dimensions.TotalSize(); }
153 
154  private:
155  T *m_data;
156  Dimensions m_dimensions;
157 };
158 
159 } // end namespace Eigen
160 
161 #endif // EIGEN_CXX11_TENSOR_TENSORSTORAGE_H
Namespace containing all symbols from the Eigen library.
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index