| // 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_GENERATOR_H |
| #define EIGEN_CXX11_TENSOR_TENSOR_GENERATOR_H |
| |
| namespace Eigen { |
| |
| /** \class TensorGenerator |
| * \ingroup CXX11_Tensor_Module |
| * |
| * \brief Tensor generator class. |
| * |
| * |
| */ |
| namespace internal { |
| template<typename Generator, typename XprType> |
| struct traits<TensorGeneratorOp<Generator, XprType> > : public traits<XprType> |
| { |
| typedef typename XprType::Scalar Scalar; |
| typedef traits<XprType> XprTraits; |
| typedef typename packet_traits<Scalar>::type Packet; |
| typedef typename XprTraits::StorageKind StorageKind; |
| typedef typename XprTraits::Index Index; |
| typedef typename XprType::Nested Nested; |
| typedef typename remove_reference<Nested>::type _Nested; |
| static const int NumDimensions = XprTraits::NumDimensions; |
| static const int Layout = XprTraits::Layout; |
| }; |
| |
| template<typename Generator, typename XprType> |
| struct eval<TensorGeneratorOp<Generator, XprType>, Eigen::Dense> |
| { |
| typedef const TensorGeneratorOp<Generator, XprType>& type; |
| }; |
| |
| template<typename Generator, typename XprType> |
| struct nested<TensorGeneratorOp<Generator, XprType>, 1, typename eval<TensorGeneratorOp<Generator, XprType> >::type> |
| { |
| typedef TensorGeneratorOp<Generator, XprType> type; |
| }; |
| |
| } // end namespace internal |
| |
| |
| |
| template<typename Generator, typename XprType> |
| class TensorGeneratorOp : public TensorBase<TensorGeneratorOp<Generator, XprType>, ReadOnlyAccessors> |
| { |
| public: |
| typedef typename Eigen::internal::traits<TensorGeneratorOp>::Scalar Scalar; |
| typedef typename Eigen::internal::traits<TensorGeneratorOp>::Packet Packet; |
| typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; |
| typedef typename XprType::CoeffReturnType CoeffReturnType; |
| typedef typename XprType::PacketReturnType PacketReturnType; |
| typedef typename Eigen::internal::nested<TensorGeneratorOp>::type Nested; |
| typedef typename Eigen::internal::traits<TensorGeneratorOp>::StorageKind StorageKind; |
| typedef typename Eigen::internal::traits<TensorGeneratorOp>::Index Index; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorGeneratorOp(const XprType& expr, const Generator& generator) |
| : m_xpr(expr), m_generator(generator) {} |
| |
| EIGEN_DEVICE_FUNC |
| const Generator& generator() const { return m_generator; } |
| |
| EIGEN_DEVICE_FUNC |
| const typename internal::remove_all<typename XprType::Nested>::type& |
| expression() const { return m_xpr; } |
| |
| protected: |
| typename XprType::Nested m_xpr; |
| const Generator m_generator; |
| }; |
| |
| |
| // Eval as rvalue |
| template<typename Generator, typename ArgType, typename Device> |
| struct TensorEvaluator<const TensorGeneratorOp<Generator, ArgType>, Device> |
| { |
| typedef TensorGeneratorOp<Generator, ArgType> XprType; |
| typedef typename XprType::Index Index; |
| typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions; |
| static const int NumDims = internal::array_size<Dimensions>::value; |
| typedef typename XprType::Scalar Scalar; |
| |
| enum { |
| IsAligned = false, |
| PacketAccess = (internal::packet_traits<Scalar>::size > 1), |
| BlockAccess = false, |
| Layout = TensorEvaluator<ArgType, Device>::Layout, |
| CoordAccess = false, // to be implemented |
| RawAccess = false |
| }; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) |
| : m_generator(op.generator()) |
| { |
| TensorEvaluator<ArgType, Device> impl(op.expression(), device); |
| m_dimensions = impl.dimensions(); |
| |
| if (NumDims > 0) { |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| m_strides[0] = 1; |
| for (int i = 1; i < NumDims; ++i) { |
| m_strides[i] = m_strides[i - 1] * m_dimensions[i - 1]; |
| } |
| } else { |
| m_strides[NumDims - 1] = 1; |
| for (int i = NumDims - 2; i >= 0; --i) { |
| m_strides[i] = m_strides[i + 1] * m_dimensions[i + 1]; |
| } |
| } |
| } |
| } |
| |
| typedef typename XprType::CoeffReturnType CoeffReturnType; |
| typedef typename XprType::PacketReturnType PacketReturnType; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) { |
| return true; |
| } |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const |
| { |
| array<Index, NumDims> coords; |
| extract_coordinates(index, coords); |
| return m_generator(coords); |
| } |
| |
| template<int LoadMode> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const |
| { |
| const int packetSize = internal::unpacket_traits<PacketReturnType>::size; |
| EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE) |
| eigen_assert(index+packetSize-1 < dimensions().TotalSize()); |
| |
| EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize]; |
| for (int i = 0; i < packetSize; ++i) { |
| values[i] = coeff(index+i); |
| } |
| PacketReturnType rslt = internal::pload<PacketReturnType>(values); |
| return rslt; |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const { |
| // TODO(rmlarsen): This is just a placeholder. Define interface to make generators return their cost. |
| return TensorOpCost( |
| 0, 0, TensorOpCost::AddCost<Scalar>() + TensorOpCost::MulCost<Scalar>()); |
| } |
| |
| EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } |
| |
| protected: |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE |
| void extract_coordinates(Index index, array<Index, NumDims>& coords) const { |
| if (NumDims > 0) { |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| for (int i = NumDims - 1; i > 0; --i) { |
| const Index idx = index / m_strides[i]; |
| index -= idx * m_strides[i]; |
| coords[i] = idx; |
| } |
| coords[0] = index; |
| } else { |
| for (int i = 0; i < NumDims - 1; ++i) { |
| const Index idx = index / m_strides[i]; |
| index -= idx * m_strides[i]; |
| coords[i] = idx; |
| } |
| coords[NumDims-1] = index; |
| } |
| } |
| } |
| |
| Dimensions m_dimensions; |
| array<Index, NumDims> m_strides; |
| Generator m_generator; |
| }; |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_CXX11_TENSOR_TENSOR_GENERATOR_H |