| // 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 |
| |
| // IWYU pragma: private |
| #include "./InternalHeaderCheck.h" |
| |
| 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, typename FixedDimensions, int Options_> |
| class TensorStorage { |
| private: |
| static constexpr std::size_t Size = FixedDimensions::total_size; |
| |
| // Allocate an array of size at least one to prevent compiler warnings. |
| static constexpr std::size_t MinSize = max_n_1<Size>::size; |
| EIGEN_ALIGN_MAX T m_data[MinSize]; |
| |
| 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 FixedDimensions(); } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE DenseIndex size() const { return Size; } |
| }; |
| |
| // pure dynamic |
| template <typename T, typename IndexType, int NumIndices_, int Options_> |
| 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 |
| } |
| |
| 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)); |
| } |
| |
| 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(Self&& other) : TensorStorage() { *this = std::move(other); } |
| |
| EIGEN_DEVICE_FUNC Self& operator=(Self&& other) { |
| numext::swap(m_data, other.m_data); |
| numext::swap(m_dimensions, other.m_dimensions); |
| 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 |