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Diffstat (limited to 'third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h')
-rw-r--r-- | third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h | 226 |
1 files changed, 0 insertions, 226 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h deleted file mode 100644 index d54091fa1c..0000000000 --- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h +++ /dev/null @@ -1,226 +0,0 @@ -// 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_CONVERSION_H -#define EIGEN_CXX11_TENSOR_TENSOR_CONVERSION_H - -namespace Eigen { - -/** \class TensorConversionOp - * \ingroup CXX11_Tensor_Module - * - * \brief Tensor conversion class. This class makes it possible to vectorize - * type casting operations when the number of scalars per packet in the source - * and the destination type differ - */ -namespace internal { -template<typename TargetType, typename XprType> -struct traits<TensorConversionOp<TargetType, XprType> > -{ - // Type promotion to handle the case where the types of the lhs and the rhs are different. - typedef TargetType Scalar; - typedef typename traits<XprType>::StorageKind StorageKind; - typedef typename traits<XprType>::Index Index; - typedef typename XprType::Nested Nested; - typedef typename remove_reference<Nested>::type _Nested; - static const int NumDimensions = traits<XprType>::NumDimensions; - static const int Layout = traits<XprType>::Layout; - enum { Flags = 0 }; -}; - -template<typename TargetType, typename XprType> -struct eval<TensorConversionOp<TargetType, XprType>, Eigen::Dense> -{ - typedef const TensorConversionOp<TargetType, XprType>& type; -}; - -template<typename TargetType, typename XprType> -struct nested<TensorConversionOp<TargetType, XprType>, 1, typename eval<TensorConversionOp<TargetType, XprType> >::type> -{ - typedef TensorConversionOp<TargetType, XprType> type; -}; - -} // end namespace internal - - -template <typename TensorEvaluator, typename SrcPacket, typename TgtPacket, int SrcCoeffRatio, int TgtCoeffRatio> -struct PacketConverter { - PacketConverter(const TensorEvaluator& impl) - : m_impl(impl) {} - - template<int LoadMode, typename Index> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TgtPacket packet(Index index) const { - return internal::pcast<SrcPacket, TgtPacket>(m_impl.template packet<LoadMode>(index)); - } - - private: - const TensorEvaluator& m_impl; -}; - - -template <typename TensorEvaluator, typename SrcPacket, typename TgtPacket> -struct PacketConverter<TensorEvaluator, SrcPacket, TgtPacket, 2, 1> { - PacketConverter(const TensorEvaluator& impl) - : m_impl(impl) {} - - template<int LoadMode, typename Index> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TgtPacket packet(Index index) const { - const int SrcPacketSize = internal::unpacket_traits<SrcPacket>::size; - - SrcPacket src1 = m_impl.template packet<LoadMode>(index); - SrcPacket src2 = m_impl.template packet<LoadMode>(index + SrcPacketSize); - TgtPacket result = internal::pcast<SrcPacket, TgtPacket>(src1, src2); - return result; - } - - private: - const TensorEvaluator& m_impl; -}; - -template <typename TensorEvaluator, typename SrcPacket, typename TgtPacket> -struct PacketConverter<TensorEvaluator, SrcPacket, TgtPacket, 4, 1> { - PacketConverter(const TensorEvaluator& impl) - : m_impl(impl) {} - - template<int LoadMode, typename Index> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TgtPacket packet(Index index) const { - const int SrcPacketSize = internal::unpacket_traits<SrcPacket>::size; - - SrcPacket src1 = m_impl.template packet<LoadMode>(index); - SrcPacket src2 = m_impl.template packet<LoadMode>(index + SrcPacketSize); - SrcPacket src3 = m_impl.template packet<LoadMode>(index + 2 * SrcPacketSize); - SrcPacket src4 = m_impl.template packet<LoadMode>(index + 3 * SrcPacketSize); - TgtPacket result = internal::pcast<SrcPacket, TgtPacket>(src1, src2, src3, src4); - return result; - } - - private: - const TensorEvaluator& m_impl; -}; - - -template <typename TensorEvaluator, typename SrcPacket, typename TgtPacket> -struct PacketConverter<TensorEvaluator, SrcPacket, TgtPacket, 1, 2> { - PacketConverter(const TensorEvaluator& impl) - : m_impl(impl), m_maxIndex(impl.dimensions().TotalSize()) {} - - template<int LoadMode, typename Index> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TgtPacket packet(Index index) const { - const int SrcPacketSize = internal::unpacket_traits<SrcPacket>::size; - if (index + SrcPacketSize < m_maxIndex) { - return internal::pcast<SrcPacket, TgtPacket>(m_impl.template packet<LoadMode>(index)); - } else { - const int TgtPacketSize = internal::unpacket_traits<TgtPacket>::size; - EIGEN_ALIGN_DEFAULT typename internal::unpacket_traits<TgtPacket>::type values[TgtPacketSize]; - for (int i = 0; i < TgtPacketSize; ++i) { - values[i] = m_impl.coeff(index+i); - } - TgtPacket rslt = internal::pload<TgtPacket>(values); - return rslt; - } - } - - private: - const TensorEvaluator& m_impl; - const typename TensorEvaluator::Index m_maxIndex; -}; - -template<typename TargetType, typename XprType> -class TensorConversionOp : public TensorBase<TensorConversionOp<TargetType, XprType>, ReadOnlyAccessors> -{ - public: - typedef typename internal::traits<TensorConversionOp>::Scalar Scalar; - typedef typename internal::traits<TensorConversionOp>::StorageKind StorageKind; - typedef typename internal::traits<TensorConversionOp>::Index Index; - typedef typename internal::nested<TensorConversionOp>::type Nested; - typedef Scalar CoeffReturnType; - typedef typename NumTraits<Scalar>::Real RealScalar; - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorConversionOp(const XprType& xpr) - : m_xpr(xpr) {} - - EIGEN_DEVICE_FUNC - const typename internal::remove_all<typename XprType::Nested>::type& - expression() const { return m_xpr; } - - protected: - typename XprType::Nested m_xpr; -}; - - - - -// Eval as rvalue -template<typename TargetType, typename ArgType, typename Device> -struct TensorEvaluator<const TensorConversionOp<TargetType, ArgType>, Device> -{ - typedef TensorConversionOp<TargetType, ArgType> XprType; - typedef typename XprType::Index Index; - typedef typename TensorEvaluator<ArgType, Device>::Dimensions Dimensions; - typedef TargetType Scalar; - typedef TargetType CoeffReturnType; - typedef typename internal::remove_all<typename internal::traits<ArgType>::Scalar>::type SrcType; - typedef typename PacketType<CoeffReturnType, Device>::type PacketReturnType; - typedef typename PacketType<SrcType, Device>::type PacketSourceType; - - enum { - IsAligned = false, - PacketAccess = - TensorEvaluator<ArgType, Device>::PacketAccess && - internal::type_casting_traits<SrcType, TargetType>::VectorizedCast, - BlockAccess = false, - Layout = TensorEvaluator<ArgType, Device>::Layout, - }; - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) - : m_impl(op.expression(), device) - { - } - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_impl.dimensions(); } - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* data) - { - if (internal::is_same<TargetType, SrcType>::value) { - return m_impl.evalSubExprsIfNeeded((SrcType*)data); - } - m_impl.evalSubExprsIfNeeded(NULL); - return true; - } - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() - { - m_impl.cleanup(); - } - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const - { - internal::scalar_cast_op<SrcType, TargetType> converter; - return converter(m_impl.coeff(index)); - } - - template<int LoadMode> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const - { - const int SrcCoeffRatio = internal::type_casting_traits<SrcType, TargetType>::SrcCoeffRatio; - const int TgtCoeffRatio = internal::type_casting_traits<SrcType, TargetType>::TgtCoeffRatio; - PacketConverter<TensorEvaluator<ArgType, Device>, PacketSourceType, PacketReturnType, - SrcCoeffRatio, TgtCoeffRatio> converter(m_impl); - return converter.template packet<LoadMode>(index); - } - - EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } - - protected: - TensorEvaluator<ArgType, Device> m_impl; -}; - -} // end namespace Eigen - -#endif // EIGEN_CXX11_TENSOR_TENSOR_CONVERSION_H |