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TensorForcedEval.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_CXX11_TENSOR_TENSOR_FORCED_EVAL_H
11#define EIGEN_CXX11_TENSOR_TENSOR_FORCED_EVAL_H
12
13namespace Eigen {
14
28namespace internal {
29template<typename XprType, template <class> class MakePointer_>
30struct traits<TensorForcedEvalOp<XprType, MakePointer_> >
31{
32 // Type promotion to handle the case where the types of the lhs and the rhs are different.
33 typedef typename XprType::Scalar Scalar;
34 typedef traits<XprType> XprTraits;
35 typedef typename traits<XprType>::StorageKind StorageKind;
36 typedef typename traits<XprType>::Index Index;
37 typedef typename XprType::Nested Nested;
38 typedef typename remove_reference<Nested>::type _Nested;
39 static const int NumDimensions = XprTraits::NumDimensions;
40 static const int Layout = XprTraits::Layout;
41
42 enum {
43 Flags = 0
44 };
45 template <class T> struct MakePointer {
46 // Intermediate typedef to workaround MSVC issue.
47 typedef MakePointer_<T> MakePointerT;
48 typedef typename MakePointerT::Type Type;
49 };
50};
51
52template<typename XprType, template <class> class MakePointer_>
53struct eval<TensorForcedEvalOp<XprType, MakePointer_>, Eigen::Dense>
54{
55 typedef const TensorForcedEvalOp<XprType, MakePointer_>& type;
56};
57
58template<typename XprType, template <class> class MakePointer_>
59struct nested<TensorForcedEvalOp<XprType, MakePointer_>, 1, typename eval<TensorForcedEvalOp<XprType, MakePointer_> >::type>
60{
61 typedef TensorForcedEvalOp<XprType, MakePointer_> type;
62};
63
64} // end namespace internal
65
66
67
68template<typename XprType, template <class> class MakePointer_>
69class TensorForcedEvalOp : public TensorBase<TensorForcedEvalOp<XprType, MakePointer_>, ReadOnlyAccessors>
70{
71 public:
72 typedef typename Eigen::internal::traits<TensorForcedEvalOp>::Scalar Scalar;
73 typedef typename Eigen::NumTraits<Scalar>::Real RealScalar;
74 typedef typename internal::remove_const<typename XprType::CoeffReturnType>::type CoeffReturnType;
75 typedef typename Eigen::internal::nested<TensorForcedEvalOp>::type Nested;
76 typedef typename Eigen::internal::traits<TensorForcedEvalOp>::StorageKind StorageKind;
77 typedef typename Eigen::internal::traits<TensorForcedEvalOp>::Index Index;
78
79 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorForcedEvalOp(const XprType& expr)
80 : m_xpr(expr) {}
81
82 EIGEN_DEVICE_FUNC
83 const typename internal::remove_all<typename XprType::Nested>::type&
84 expression() const { return m_xpr; }
85
86 protected:
87 typename XprType::Nested m_xpr;
88};
89
90
91template<typename ArgType, typename Device, template <class> class MakePointer_>
92struct TensorEvaluator<const TensorForcedEvalOp<ArgType, MakePointer_>, Device>
93{
94 typedef TensorForcedEvalOp<ArgType, MakePointer_> XprType;
95 typedef typename ArgType::Scalar Scalar;
96 typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions;
97 typedef typename XprType::Index Index;
98 typedef typename XprType::CoeffReturnType CoeffReturnType;
99 typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType;
100 static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size;
101
102 enum {
103 IsAligned = true,
104 PacketAccess = (PacketSize > 1),
105 Layout = TensorEvaluator<ArgType, Device>::Layout,
106 RawAccess = true
107 };
108
109 EIGEN_DEVICE_FUNC TensorEvaluator(const XprType& op, const Device& device)
111 : m_impl(op.expression(), device), m_op(op.expression()), m_device(device), m_buffer(NULL)
112 { }
113
114 EIGEN_DEVICE_FUNC const Dimensions& dimensions() const { return m_impl.dimensions(); }
115
116 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(CoeffReturnType*) {
117 const Index numValues = internal::array_prod(m_impl.dimensions());
118 m_buffer = (CoeffReturnType*)m_device.allocate(numValues * sizeof(CoeffReturnType));
119 // Should initialize the memory in case we're dealing with non POD types.
120 if (NumTraits<CoeffReturnType>::RequireInitialization) {
121 for (Index i = 0; i < numValues; ++i) {
122 new(m_buffer+i) CoeffReturnType();
123 }
124 }
125 typedef TensorEvalToOp< const typename internal::remove_const<ArgType>::type > EvalTo;
126 EvalTo evalToTmp(m_buffer, m_op);
127 const bool PacketAccess = internal::IsVectorizable<Device, const ArgType>::value;
128 internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
129 return true;
130 }
131 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {
132 m_device.deallocate(m_buffer);
133 m_buffer = NULL;
134 }
135
136 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
137 {
138 return m_buffer[index];
139 }
140
141 template<int LoadMode>
142 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
143 {
144 return internal::ploadt<PacketReturnType, LoadMode>(m_buffer + index);
145 }
146
147 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const {
148 return TensorOpCost(sizeof(CoeffReturnType), 0, 0, vectorized, PacketSize);
149 }
150
151 EIGEN_DEVICE_FUNC typename MakePointer<Scalar>::Type data() const { return m_buffer; }
152
154 const TensorEvaluator<ArgType, Device>& impl() { return m_impl; }
156 const Device& device() const{return m_device;}
157 private:
158 TensorEvaluator<ArgType, Device> m_impl;
159 const ArgType m_op;
160 const Device& m_device;
161 typename MakePointer<CoeffReturnType>::Type m_buffer;
162};
163
164
165} // end namespace Eigen
166
167#endif // EIGEN_CXX11_TENSOR_TENSOR_FORCED_EVAL_H
Namespace containing all symbols from the Eigen library.
Definition: AdolcForward:45
const Device & device() const
required by sycl in order to construct sycl buffer from raw pointer
Definition: TensorEvaluator.h:114