| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com> |
| // Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr> |
| // Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk> |
| // |
| // 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_ASSIGN_EVALUATOR_H |
| #define EIGEN_ASSIGN_EVALUATOR_H |
| |
| // IWYU pragma: private |
| #include "./InternalHeaderCheck.h" |
| |
| namespace Eigen { |
| |
| // This implementation is based on Assign.h |
| |
| namespace internal { |
| |
| /*************************************************************************** |
| * Part 1 : the logic deciding a strategy for traversal and unrolling * |
| ***************************************************************************/ |
| |
| // copy_using_evaluator_traits is based on assign_traits |
| |
| template <typename DstEvaluator, typename SrcEvaluator, typename AssignFunc, int MaxPacketSize = -1> |
| struct copy_using_evaluator_traits { |
| typedef typename DstEvaluator::XprType Dst; |
| typedef typename Dst::Scalar DstScalar; |
| |
| enum { DstFlags = DstEvaluator::Flags, SrcFlags = SrcEvaluator::Flags }; |
| |
| public: |
| enum { |
| DstAlignment = DstEvaluator::Alignment, |
| SrcAlignment = SrcEvaluator::Alignment, |
| DstHasDirectAccess = (DstFlags & DirectAccessBit) == DirectAccessBit, |
| JointAlignment = plain_enum_min(DstAlignment, SrcAlignment) |
| }; |
| |
| private: |
| enum { |
| InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime) |
| : int(DstFlags) & RowMajorBit ? int(Dst::ColsAtCompileTime) |
| : int(Dst::RowsAtCompileTime), |
| InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime) |
| : int(DstFlags) & RowMajorBit ? int(Dst::MaxColsAtCompileTime) |
| : int(Dst::MaxRowsAtCompileTime), |
| RestrictedInnerSize = min_size_prefer_fixed(InnerSize, MaxPacketSize), |
| RestrictedLinearSize = min_size_prefer_fixed(Dst::SizeAtCompileTime, MaxPacketSize), |
| OuterStride = int(outer_stride_at_compile_time<Dst>::ret), |
| MaxSizeAtCompileTime = Dst::SizeAtCompileTime |
| }; |
| |
| // TODO distinguish between linear traversal and inner-traversals |
| typedef typename find_best_packet<DstScalar, RestrictedLinearSize>::type LinearPacketType; |
| typedef typename find_best_packet<DstScalar, RestrictedInnerSize>::type InnerPacketType; |
| |
| enum { |
| LinearPacketSize = unpacket_traits<LinearPacketType>::size, |
| InnerPacketSize = unpacket_traits<InnerPacketType>::size |
| }; |
| |
| public: |
| enum { |
| LinearRequiredAlignment = unpacket_traits<LinearPacketType>::alignment, |
| InnerRequiredAlignment = unpacket_traits<InnerPacketType>::alignment |
| }; |
| |
| private: |
| enum { |
| DstIsRowMajor = DstFlags & RowMajorBit, |
| SrcIsRowMajor = SrcFlags & RowMajorBit, |
| StorageOrdersAgree = (int(DstIsRowMajor) == int(SrcIsRowMajor)), |
| MightVectorize = bool(StorageOrdersAgree) && (int(DstFlags) & int(SrcFlags) & ActualPacketAccessBit) && |
| bool(functor_traits<AssignFunc>::PacketAccess), |
| MayInnerVectorize = MightVectorize && int(InnerSize) != Dynamic && int(InnerSize) % int(InnerPacketSize) == 0 && |
| int(OuterStride) != Dynamic && int(OuterStride) % int(InnerPacketSize) == 0 && |
| (EIGEN_UNALIGNED_VECTORIZE || int(JointAlignment) >= int(InnerRequiredAlignment)), |
| MayLinearize = bool(StorageOrdersAgree) && (int(DstFlags) & int(SrcFlags) & LinearAccessBit), |
| MayLinearVectorize = bool(MightVectorize) && bool(MayLinearize) && bool(DstHasDirectAccess) && |
| (EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment) >= int(LinearRequiredAlignment)) || |
| MaxSizeAtCompileTime == Dynamic), |
| /* If the destination isn't aligned, we have to do runtime checks and we don't unroll, |
| so it's only good for large enough sizes. */ |
| MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) && |
| (int(InnerMaxSize) == Dynamic || |
| int(InnerMaxSize) >= (EIGEN_UNALIGNED_VECTORIZE ? InnerPacketSize : (3 * InnerPacketSize))) |
| /* slice vectorization can be slow, so we only want it if the slices are big, which is |
| indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block |
| in a fixed-size matrix |
| However, with EIGEN_UNALIGNED_VECTORIZE and unrolling, slice vectorization is still worth it */ |
| }; |
| |
| public: |
| enum { |
| Traversal = int(Dst::SizeAtCompileTime) == 0 |
| ? int(AllAtOnceTraversal) // If compile-size is zero, traversing will fail at compile-time. |
| : (int(MayLinearVectorize) && (LinearPacketSize > InnerPacketSize)) ? int(LinearVectorizedTraversal) |
| : int(MayInnerVectorize) ? int(InnerVectorizedTraversal) |
| : int(MayLinearVectorize) ? int(LinearVectorizedTraversal) |
| : int(MaySliceVectorize) ? int(SliceVectorizedTraversal) |
| : int(MayLinearize) ? int(LinearTraversal) |
| : int(DefaultTraversal), |
| Vectorized = int(Traversal) == InnerVectorizedTraversal || int(Traversal) == LinearVectorizedTraversal || |
| int(Traversal) == SliceVectorizedTraversal |
| }; |
| |
| typedef std::conditional_t<int(Traversal) == LinearVectorizedTraversal, LinearPacketType, InnerPacketType> PacketType; |
| |
| private: |
| enum { |
| ActualPacketSize = int(Traversal) == LinearVectorizedTraversal ? LinearPacketSize |
| : Vectorized ? InnerPacketSize |
| : 1, |
| UnrollingLimit = EIGEN_UNROLLING_LIMIT * ActualPacketSize, |
| MayUnrollCompletely = |
| int(Dst::SizeAtCompileTime) != Dynamic && |
| int(Dst::SizeAtCompileTime) * (int(DstEvaluator::CoeffReadCost) + int(SrcEvaluator::CoeffReadCost)) <= |
| int(UnrollingLimit), |
| MayUnrollInner = |
| int(InnerSize) != Dynamic && |
| int(InnerSize) * (int(DstEvaluator::CoeffReadCost) + int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit) |
| }; |
| |
| public: |
| enum { |
| Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal)) |
| ? (int(MayUnrollCompletely) ? int(CompleteUnrolling) |
| : int(MayUnrollInner) ? int(InnerUnrolling) |
| : int(NoUnrolling)) |
| : int(Traversal) == int(LinearVectorizedTraversal) |
| ? (bool(MayUnrollCompletely) && |
| (EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment) >= int(LinearRequiredAlignment))) |
| ? int(CompleteUnrolling) |
| : int(NoUnrolling)) |
| : int(Traversal) == int(LinearTraversal) |
| ? (bool(MayUnrollCompletely) ? int(CompleteUnrolling) : int(NoUnrolling)) |
| #if EIGEN_UNALIGNED_VECTORIZE |
| : int(Traversal) == int(SliceVectorizedTraversal) |
| ? (bool(MayUnrollInner) ? int(InnerUnrolling) : int(NoUnrolling)) |
| #endif |
| : int(NoUnrolling) |
| }; |
| |
| #ifdef EIGEN_DEBUG_ASSIGN |
| static void debug() { |
| std::cerr << "DstXpr: " << typeid(typename DstEvaluator::XprType).name() << std::endl; |
| std::cerr << "SrcXpr: " << typeid(typename SrcEvaluator::XprType).name() << std::endl; |
| std::cerr.setf(std::ios::hex, std::ios::basefield); |
| std::cerr << "DstFlags" |
| << " = " << DstFlags << " (" << demangle_flags(DstFlags) << " )" << std::endl; |
| std::cerr << "SrcFlags" |
| << " = " << SrcFlags << " (" << demangle_flags(SrcFlags) << " )" << std::endl; |
| std::cerr.unsetf(std::ios::hex); |
| EIGEN_DEBUG_VAR(DstAlignment) |
| EIGEN_DEBUG_VAR(SrcAlignment) |
| EIGEN_DEBUG_VAR(LinearRequiredAlignment) |
| EIGEN_DEBUG_VAR(InnerRequiredAlignment) |
| EIGEN_DEBUG_VAR(JointAlignment) |
| EIGEN_DEBUG_VAR(InnerSize) |
| EIGEN_DEBUG_VAR(InnerMaxSize) |
| EIGEN_DEBUG_VAR(LinearPacketSize) |
| EIGEN_DEBUG_VAR(InnerPacketSize) |
| EIGEN_DEBUG_VAR(ActualPacketSize) |
| EIGEN_DEBUG_VAR(StorageOrdersAgree) |
| EIGEN_DEBUG_VAR(MightVectorize) |
| EIGEN_DEBUG_VAR(MayLinearize) |
| EIGEN_DEBUG_VAR(MayInnerVectorize) |
| EIGEN_DEBUG_VAR(MayLinearVectorize) |
| EIGEN_DEBUG_VAR(MaySliceVectorize) |
| std::cerr << "Traversal" |
| << " = " << Traversal << " (" << demangle_traversal(Traversal) << ")" << std::endl; |
| EIGEN_DEBUG_VAR(SrcEvaluator::CoeffReadCost) |
| EIGEN_DEBUG_VAR(DstEvaluator::CoeffReadCost) |
| EIGEN_DEBUG_VAR(Dst::SizeAtCompileTime) |
| EIGEN_DEBUG_VAR(UnrollingLimit) |
| EIGEN_DEBUG_VAR(MayUnrollCompletely) |
| EIGEN_DEBUG_VAR(MayUnrollInner) |
| std::cerr << "Unrolling" |
| << " = " << Unrolling << " (" << demangle_unrolling(Unrolling) << ")" << std::endl; |
| std::cerr << std::endl; |
| } |
| #endif |
| }; |
| |
| /*************************************************************************** |
| * Part 2 : meta-unrollers |
| ***************************************************************************/ |
| |
| /************************ |
| *** Default traversal *** |
| ************************/ |
| |
| template <typename Kernel, int Index, int Stop> |
| struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling { |
| // FIXME: this is not very clean, perhaps this information should be provided by the kernel? |
| typedef typename Kernel::DstEvaluatorType DstEvaluatorType; |
| typedef typename DstEvaluatorType::XprType DstXprType; |
| |
| enum { outer = Index / DstXprType::InnerSizeAtCompileTime, inner = Index % DstXprType::InnerSizeAtCompileTime }; |
| |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| kernel.assignCoeffByOuterInner(outer, inner); |
| copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Index + 1, Stop>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel, int Stop> |
| struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Stop, Stop> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel&) {} |
| }; |
| |
| template <typename Kernel, int Index_, int Stop> |
| struct copy_using_evaluator_DefaultTraversal_InnerUnrolling { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel, Index outer) { |
| kernel.assignCoeffByOuterInner(outer, Index_); |
| copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Index_ + 1, Stop>::run(kernel, outer); |
| } |
| }; |
| |
| template <typename Kernel, int Stop> |
| struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Stop, Stop> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) {} |
| }; |
| |
| /*********************** |
| *** Linear traversal *** |
| ***********************/ |
| |
| template <typename Kernel, int Index, int Stop> |
| struct copy_using_evaluator_LinearTraversal_CompleteUnrolling { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| kernel.assignCoeff(Index); |
| copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Index + 1, Stop>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel, int Stop> |
| struct copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Stop, Stop> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) {} |
| }; |
| |
| /************************** |
| *** Inner vectorization *** |
| **************************/ |
| |
| template <typename Kernel, int Index, int Stop> |
| struct copy_using_evaluator_innervec_CompleteUnrolling { |
| // FIXME: this is not very clean, perhaps this information should be provided by the kernel? |
| typedef typename Kernel::DstEvaluatorType DstEvaluatorType; |
| typedef typename DstEvaluatorType::XprType DstXprType; |
| typedef typename Kernel::PacketType PacketType; |
| |
| enum { |
| outer = Index / DstXprType::InnerSizeAtCompileTime, |
| inner = Index % DstXprType::InnerSizeAtCompileTime, |
| SrcAlignment = Kernel::AssignmentTraits::SrcAlignment, |
| DstAlignment = Kernel::AssignmentTraits::DstAlignment |
| }; |
| |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner); |
| enum { NextIndex = Index + unpacket_traits<PacketType>::size }; |
| copy_using_evaluator_innervec_CompleteUnrolling<Kernel, NextIndex, Stop>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel, int Stop> |
| struct copy_using_evaluator_innervec_CompleteUnrolling<Kernel, Stop, Stop> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel&) {} |
| }; |
| |
| template <typename Kernel, int Index_, int Stop, int SrcAlignment, int DstAlignment> |
| struct copy_using_evaluator_innervec_InnerUnrolling { |
| typedef typename Kernel::PacketType PacketType; |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel, Index outer) { |
| kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, Index_); |
| enum { NextIndex = Index_ + unpacket_traits<PacketType>::size }; |
| copy_using_evaluator_innervec_InnerUnrolling<Kernel, NextIndex, Stop, SrcAlignment, DstAlignment>::run(kernel, |
| outer); |
| } |
| }; |
| |
| template <typename Kernel, int Stop, int SrcAlignment, int DstAlignment> |
| struct copy_using_evaluator_innervec_InnerUnrolling<Kernel, Stop, Stop, SrcAlignment, DstAlignment> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) {} |
| }; |
| |
| /*************************************************************************** |
| * Part 3 : implementation of all cases |
| ***************************************************************************/ |
| |
| // dense_assignment_loop is based on assign_impl |
| |
| template <typename Kernel, int Traversal = Kernel::AssignmentTraits::Traversal, |
| int Unrolling = Kernel::AssignmentTraits::Unrolling> |
| struct dense_assignment_loop; |
| |
| /************************ |
| ***** Special Cases ***** |
| ************************/ |
| |
| // Zero-sized assignment is a no-op. |
| template <typename Kernel, int Unrolling> |
| struct dense_assignment_loop<Kernel, AllAtOnceTraversal, Unrolling> { |
| EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE EIGEN_CONSTEXPR run(Kernel& /*kernel*/) { |
| EIGEN_STATIC_ASSERT(int(Kernel::DstEvaluatorType::XprType::SizeAtCompileTime) == 0, |
| EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT) |
| } |
| }; |
| |
| /************************ |
| *** Default traversal *** |
| ************************/ |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling> { |
| EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel& kernel) { |
| for (Index outer = 0; outer < kernel.outerSize(); ++outer) { |
| for (Index inner = 0; inner < kernel.innerSize(); ++inner) { |
| kernel.assignCoeffByOuterInner(outer, inner); |
| } |
| } |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, DefaultTraversal, CompleteUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, DefaultTraversal, InnerUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| |
| const Index outerSize = kernel.outerSize(); |
| for (Index outer = 0; outer < outerSize; ++outer) |
| copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime>::run(kernel, |
| outer); |
| } |
| }; |
| |
| /*************************** |
| *** Linear vectorization *** |
| ***************************/ |
| |
| // The goal of unaligned_dense_assignment_loop is simply to factorize the handling |
| // of the non vectorizable beginning and ending parts |
| |
| template <bool IsAligned = false> |
| struct unaligned_dense_assignment_loop { |
| // if IsAligned = true, then do nothing |
| template <typename Kernel> |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel&, Index, Index) {} |
| }; |
| |
| template <> |
| struct unaligned_dense_assignment_loop<false> { |
| // MSVC must not inline this functions. If it does, it fails to optimize the |
| // packet access path. |
| // FIXME check which version exhibits this issue |
| #if EIGEN_COMP_MSVC |
| template <typename Kernel> |
| static EIGEN_DONT_INLINE void run(Kernel& kernel, Index start, Index end) |
| #else |
| template <typename Kernel> |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel, Index start, Index end) |
| #endif |
| { |
| for (Index index = start; index < end; ++index) kernel.assignCoeff(index); |
| } |
| }; |
| |
| template <typename Kernel, int Index, int Stop> |
| struct copy_using_evaluator_linearvec_CompleteUnrolling { |
| // FIXME: this is not very clean, perhaps this information should be provided by the kernel? |
| typedef typename Kernel::DstEvaluatorType DstEvaluatorType; |
| typedef typename DstEvaluatorType::XprType DstXprType; |
| typedef typename Kernel::PacketType PacketType; |
| |
| enum { SrcAlignment = Kernel::AssignmentTraits::SrcAlignment, DstAlignment = Kernel::AssignmentTraits::DstAlignment }; |
| |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| kernel.template assignPacket<DstAlignment, SrcAlignment, PacketType>(Index); |
| enum { NextIndex = Index + unpacket_traits<PacketType>::size }; |
| copy_using_evaluator_linearvec_CompleteUnrolling<Kernel, NextIndex, Stop>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel, int Stop> |
| struct copy_using_evaluator_linearvec_CompleteUnrolling<Kernel, Stop, Stop> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel&) {} |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, NoUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| const Index size = kernel.size(); |
| typedef typename Kernel::Scalar Scalar; |
| typedef typename Kernel::PacketType PacketType; |
| enum { |
| requestedAlignment = Kernel::AssignmentTraits::LinearRequiredAlignment, |
| packetSize = unpacket_traits<PacketType>::size, |
| dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment) >= int(requestedAlignment), |
| dstAlignment = packet_traits<Scalar>::AlignedOnScalar ? int(requestedAlignment) |
| : int(Kernel::AssignmentTraits::DstAlignment), |
| srcAlignment = Kernel::AssignmentTraits::JointAlignment |
| }; |
| const Index alignedStart = |
| dstIsAligned ? 0 : internal::first_aligned<requestedAlignment>(kernel.dstDataPtr(), size); |
| const Index alignedEnd = alignedStart + ((size - alignedStart) / packetSize) * packetSize; |
| |
| unaligned_dense_assignment_loop<dstIsAligned != 0>::run(kernel, 0, alignedStart); |
| |
| for (Index index = alignedStart; index < alignedEnd; index += packetSize) |
| kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index); |
| |
| unaligned_dense_assignment_loop<>::run(kernel, alignedEnd, size); |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, CompleteUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| typedef typename Kernel::PacketType PacketType; |
| |
| enum { |
| size = DstXprType::SizeAtCompileTime, |
| packetSize = unpacket_traits<PacketType>::size, |
| alignedSize = (int(size) / packetSize) * packetSize |
| }; |
| |
| copy_using_evaluator_linearvec_CompleteUnrolling<Kernel, 0, alignedSize>::run(kernel); |
| copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, alignedSize, size>::run(kernel); |
| } |
| }; |
| |
| /************************** |
| *** Inner vectorization *** |
| **************************/ |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, NoUnrolling> { |
| typedef typename Kernel::PacketType PacketType; |
| enum { SrcAlignment = Kernel::AssignmentTraits::SrcAlignment, DstAlignment = Kernel::AssignmentTraits::DstAlignment }; |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| const Index innerSize = kernel.innerSize(); |
| const Index outerSize = kernel.outerSize(); |
| const Index packetSize = unpacket_traits<PacketType>::size; |
| for (Index outer = 0; outer < outerSize; ++outer) |
| for (Index inner = 0; inner < innerSize; inner += packetSize) |
| kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner); |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, CompleteUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| copy_using_evaluator_innervec_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel); |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, InnerUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| typedef typename Kernel::AssignmentTraits Traits; |
| const Index outerSize = kernel.outerSize(); |
| for (Index outer = 0; outer < outerSize; ++outer) |
| copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime, Traits::SrcAlignment, |
| Traits::DstAlignment>::run(kernel, outer); |
| } |
| }; |
| |
| /*********************** |
| *** Linear traversal *** |
| ***********************/ |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, LinearTraversal, NoUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| const Index size = kernel.size(); |
| for (Index i = 0; i < size; ++i) kernel.assignCoeff(i); |
| } |
| }; |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, LinearTraversal, CompleteUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel); |
| } |
| }; |
| |
| /************************** |
| *** Slice vectorization *** |
| ***************************/ |
| |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| typedef typename Kernel::Scalar Scalar; |
| typedef typename Kernel::PacketType PacketType; |
| enum { |
| packetSize = unpacket_traits<PacketType>::size, |
| requestedAlignment = int(Kernel::AssignmentTraits::InnerRequiredAlignment), |
| alignable = |
| packet_traits<Scalar>::AlignedOnScalar || int(Kernel::AssignmentTraits::DstAlignment) >= sizeof(Scalar), |
| dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment) >= int(requestedAlignment), |
| dstAlignment = alignable ? int(requestedAlignment) : int(Kernel::AssignmentTraits::DstAlignment) |
| }; |
| const Scalar* dst_ptr = kernel.dstDataPtr(); |
| if ((!bool(dstIsAligned)) && (std::uintptr_t(dst_ptr) % sizeof(Scalar)) > 0) { |
| // the pointer is not aligned-on scalar, so alignment is not possible |
| return dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling>::run(kernel); |
| } |
| const Index packetAlignedMask = packetSize - 1; |
| const Index innerSize = kernel.innerSize(); |
| const Index outerSize = kernel.outerSize(); |
| const Index alignedStep = alignable ? (packetSize - kernel.outerStride() % packetSize) & packetAlignedMask : 0; |
| Index alignedStart = |
| ((!alignable) || bool(dstIsAligned)) ? 0 : internal::first_aligned<requestedAlignment>(dst_ptr, innerSize); |
| |
| for (Index outer = 0; outer < outerSize; ++outer) { |
| const Index alignedEnd = alignedStart + ((innerSize - alignedStart) & ~packetAlignedMask); |
| // do the non-vectorizable part of the assignment |
| for (Index inner = 0; inner < alignedStart; ++inner) kernel.assignCoeffByOuterInner(outer, inner); |
| |
| // do the vectorizable part of the assignment |
| for (Index inner = alignedStart; inner < alignedEnd; inner += packetSize) |
| kernel.template assignPacketByOuterInner<dstAlignment, Unaligned, PacketType>(outer, inner); |
| |
| // do the non-vectorizable part of the assignment |
| for (Index inner = alignedEnd; inner < innerSize; ++inner) kernel.assignCoeffByOuterInner(outer, inner); |
| |
| alignedStart = numext::mini((alignedStart + alignedStep) % packetSize, innerSize); |
| } |
| } |
| }; |
| |
| #if EIGEN_UNALIGNED_VECTORIZE |
| template <typename Kernel> |
| struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, InnerUnrolling> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) { |
| typedef typename Kernel::DstEvaluatorType::XprType DstXprType; |
| typedef typename Kernel::PacketType PacketType; |
| |
| enum { |
| innerSize = DstXprType::InnerSizeAtCompileTime, |
| packetSize = unpacket_traits<PacketType>::size, |
| vectorizableSize = (int(innerSize) / int(packetSize)) * int(packetSize), |
| size = DstXprType::SizeAtCompileTime |
| }; |
| |
| for (Index outer = 0; outer < kernel.outerSize(); ++outer) { |
| copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, vectorizableSize, 0, 0>::run(kernel, outer); |
| copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, vectorizableSize, innerSize>::run(kernel, outer); |
| } |
| } |
| }; |
| #endif |
| |
| /*************************************************************************** |
| * Part 4 : Generic dense assignment kernel |
| ***************************************************************************/ |
| |
| // This class generalize the assignment of a coefficient (or packet) from one dense evaluator |
| // to another dense writable evaluator. |
| // It is parametrized by the two evaluators, and the actual assignment functor. |
| // This abstraction level permits to keep the evaluation loops as simple and as generic as possible. |
| // One can customize the assignment using this generic dense_assignment_kernel with different |
| // functors, or by completely overloading it, by-passing a functor. |
| template <typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version = Specialized> |
| class generic_dense_assignment_kernel { |
| protected: |
| typedef typename DstEvaluatorTypeT::XprType DstXprType; |
| typedef typename SrcEvaluatorTypeT::XprType SrcXprType; |
| |
| public: |
| typedef DstEvaluatorTypeT DstEvaluatorType; |
| typedef SrcEvaluatorTypeT SrcEvaluatorType; |
| typedef typename DstEvaluatorType::Scalar Scalar; |
| typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor> AssignmentTraits; |
| typedef typename AssignmentTraits::PacketType PacketType; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE generic_dense_assignment_kernel(DstEvaluatorType& dst, |
| const SrcEvaluatorType& src, |
| const Functor& func, DstXprType& dstExpr) |
| : m_dst(dst), m_src(src), m_functor(func), m_dstExpr(dstExpr) { |
| #ifdef EIGEN_DEBUG_ASSIGN |
| AssignmentTraits::debug(); |
| #endif |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index size() const EIGEN_NOEXCEPT { return m_dstExpr.size(); } |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index innerSize() const EIGEN_NOEXCEPT { return m_dstExpr.innerSize(); } |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index outerSize() const EIGEN_NOEXCEPT { return m_dstExpr.outerSize(); } |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index rows() const EIGEN_NOEXCEPT { return m_dstExpr.rows(); } |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index cols() const EIGEN_NOEXCEPT { return m_dstExpr.cols(); } |
| EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR Index outerStride() const EIGEN_NOEXCEPT { return m_dstExpr.outerStride(); } |
| |
| EIGEN_DEVICE_FUNC DstEvaluatorType& dstEvaluator() EIGEN_NOEXCEPT { return m_dst; } |
| EIGEN_DEVICE_FUNC const SrcEvaluatorType& srcEvaluator() const EIGEN_NOEXCEPT { return m_src; } |
| |
| /// Assign src(row,col) to dst(row,col) through the assignment functor. |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index row, Index col) { |
| m_functor.assignCoeff(m_dst.coeffRef(row, col), m_src.coeff(row, col)); |
| } |
| |
| /// \sa assignCoeff(Index,Index) |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index index) { |
| m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); |
| } |
| |
| /// \sa assignCoeff(Index,Index) |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeffByOuterInner(Index outer, Index inner) { |
| Index row = rowIndexByOuterInner(outer, inner); |
| Index col = colIndexByOuterInner(outer, inner); |
| assignCoeff(row, col); |
| } |
| |
| template <int StoreMode, int LoadMode, typename Packet> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index row, Index col) { |
| m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(row, col), |
| m_src.template packet<LoadMode, Packet>(row, col)); |
| } |
| |
| template <int StoreMode, int LoadMode, typename Packet> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index index) { |
| m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode, Packet>(index)); |
| } |
| |
| template <int StoreMode, int LoadMode, typename Packet> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacketByOuterInner(Index outer, Index inner) { |
| Index row = rowIndexByOuterInner(outer, inner); |
| Index col = colIndexByOuterInner(outer, inner); |
| assignPacket<StoreMode, LoadMode, Packet>(row, col); |
| } |
| |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner) { |
| typedef typename DstEvaluatorType::ExpressionTraits Traits; |
| return int(Traits::RowsAtCompileTime) == 1 ? 0 |
| : int(Traits::ColsAtCompileTime) == 1 ? inner |
| : int(DstEvaluatorType::Flags) & RowMajorBit ? outer |
| : inner; |
| } |
| |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner) { |
| typedef typename DstEvaluatorType::ExpressionTraits Traits; |
| return int(Traits::ColsAtCompileTime) == 1 ? 0 |
| : int(Traits::RowsAtCompileTime) == 1 ? inner |
| : int(DstEvaluatorType::Flags) & RowMajorBit ? inner |
| : outer; |
| } |
| |
| EIGEN_DEVICE_FUNC const Scalar* dstDataPtr() const { return m_dstExpr.data(); } |
| |
| protected: |
| DstEvaluatorType& m_dst; |
| const SrcEvaluatorType& m_src; |
| const Functor& m_functor; |
| // TODO find a way to avoid the needs of the original expression |
| DstXprType& m_dstExpr; |
| }; |
| |
| // Special kernel used when computing small products whose operands have dynamic dimensions. It ensures that the |
| // PacketSize used is no larger than 4, thereby increasing the chance that vectorized instructions will be used |
| // when computing the product. |
| |
| template <typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor> |
| class restricted_packet_dense_assignment_kernel |
| : public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, BuiltIn> { |
| protected: |
| typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, BuiltIn> Base; |
| |
| public: |
| typedef typename Base::Scalar Scalar; |
| typedef typename Base::DstXprType DstXprType; |
| typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, 4> AssignmentTraits; |
| typedef typename AssignmentTraits::PacketType PacketType; |
| |
| EIGEN_DEVICE_FUNC restricted_packet_dense_assignment_kernel(DstEvaluatorTypeT& dst, const SrcEvaluatorTypeT& src, |
| const Functor& func, DstXprType& dstExpr) |
| : Base(dst, src, func, dstExpr) {} |
| }; |
| |
| /*************************************************************************** |
| * Part 5 : Entry point for dense rectangular assignment |
| ***************************************************************************/ |
| |
| template <typename DstXprType, typename SrcXprType, typename Functor> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize_if_allowed(DstXprType& dst, const SrcXprType& src, |
| const Functor& /*func*/) { |
| EIGEN_ONLY_USED_FOR_DEBUG(dst); |
| EIGEN_ONLY_USED_FOR_DEBUG(src); |
| eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); |
| } |
| |
| template <typename DstXprType, typename SrcXprType, typename T1, typename T2> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize_if_allowed(DstXprType& dst, const SrcXprType& src, |
| const internal::assign_op<T1, T2>& /*func*/) { |
| Index dstRows = src.rows(); |
| Index dstCols = src.cols(); |
| if (((dst.rows() != dstRows) || (dst.cols() != dstCols))) dst.resize(dstRows, dstCols); |
| eigen_assert(dst.rows() == dstRows && dst.cols() == dstCols); |
| } |
| |
| template <typename DstXprType, typename SrcXprType, typename Functor> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_dense_assignment_loop(DstXprType& dst, |
| const SrcXprType& src, |
| const Functor& func) { |
| typedef evaluator<DstXprType> DstEvaluatorType; |
| typedef evaluator<SrcXprType> SrcEvaluatorType; |
| |
| SrcEvaluatorType srcEvaluator(src); |
| |
| // NOTE To properly handle A = (A*A.transpose())/s with A rectangular, |
| // we need to resize the destination after the source evaluator has been created. |
| resize_if_allowed(dst, src, func); |
| |
| DstEvaluatorType dstEvaluator(dst); |
| |
| typedef generic_dense_assignment_kernel<DstEvaluatorType, SrcEvaluatorType, Functor> Kernel; |
| Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived()); |
| |
| dense_assignment_loop<Kernel>::run(kernel); |
| } |
| |
| // Specialization for filling the destination with a constant value. |
| #ifndef EIGEN_GPU_COMPILE_PHASE |
| template <typename DstXprType> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop( |
| DstXprType& dst, |
| const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<typename DstXprType::Scalar>, DstXprType>& src, |
| const internal::assign_op<typename DstXprType::Scalar, typename DstXprType::Scalar>& func) { |
| resize_if_allowed(dst, src, func); |
| std::fill_n(dst.data(), dst.size(), src.functor()()); |
| } |
| #endif |
| |
| template <typename DstXprType, typename SrcXprType> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src) { |
| call_dense_assignment_loop(dst, src, internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>()); |
| } |
| |
| /*************************************************************************** |
| * Part 6 : Generic assignment |
| ***************************************************************************/ |
| |
| // Based on the respective shapes of the destination and source, |
| // the class AssignmentKind determine the kind of assignment mechanism. |
| // AssignmentKind must define a Kind typedef. |
| template <typename DstShape, typename SrcShape> |
| struct AssignmentKind; |
| |
| // Assignment kind defined in this file: |
| struct Dense2Dense {}; |
| struct EigenBase2EigenBase {}; |
| |
| template <typename, typename> |
| struct AssignmentKind { |
| typedef EigenBase2EigenBase Kind; |
| }; |
| template <> |
| struct AssignmentKind<DenseShape, DenseShape> { |
| typedef Dense2Dense Kind; |
| }; |
| |
| // This is the main assignment class |
| template <typename DstXprType, typename SrcXprType, typename Functor, |
| typename Kind = typename AssignmentKind<typename evaluator_traits<DstXprType>::Shape, |
| typename evaluator_traits<SrcXprType>::Shape>::Kind, |
| typename EnableIf = void> |
| struct Assignment; |
| |
| // The only purpose of this call_assignment() function is to deal with noalias() / "assume-aliasing" and automatic |
| // transposition. Indeed, I (Gael) think that this concept of "assume-aliasing" was a mistake, and it makes thing quite |
| // complicated. So this intermediate function removes everything related to "assume-aliasing" such that Assignment does |
| // not has to bother about these annoying details. |
| |
| template <typename Dst, typename Src> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment(Dst& dst, const Src& src) { |
| call_assignment(dst, src, internal::assign_op<typename Dst::Scalar, typename Src::Scalar>()); |
| } |
| template <typename Dst, typename Src> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment(const Dst& dst, const Src& src) { |
| call_assignment(dst, src, internal::assign_op<typename Dst::Scalar, typename Src::Scalar>()); |
| } |
| |
| // Deal with "assume-aliasing" |
| template <typename Dst, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment( |
| Dst& dst, const Src& src, const Func& func, std::enable_if_t<evaluator_assume_aliasing<Src>::value, void*> = 0) { |
| typename plain_matrix_type<Src>::type tmp(src); |
| call_assignment_no_alias(dst, tmp, func); |
| } |
| |
| template <typename Dst, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment( |
| Dst& dst, const Src& src, const Func& func, std::enable_if_t<!evaluator_assume_aliasing<Src>::value, void*> = 0) { |
| call_assignment_no_alias(dst, src, func); |
| } |
| |
| // by-pass "assume-aliasing" |
| // When there is no aliasing, we require that 'dst' has been properly resized |
| template <typename Dst, template <typename> class StorageBase, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment(NoAlias<Dst, StorageBase>& dst, |
| const Src& src, const Func& func) { |
| call_assignment_no_alias(dst.expression(), src, func); |
| } |
| |
| template <typename Dst, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment_no_alias(Dst& dst, const Src& src, |
| const Func& func) { |
| enum { |
| NeedToTranspose = ((int(Dst::RowsAtCompileTime) == 1 && int(Src::ColsAtCompileTime) == 1) || |
| (int(Dst::ColsAtCompileTime) == 1 && int(Src::RowsAtCompileTime) == 1)) && |
| int(Dst::SizeAtCompileTime) != 1 |
| }; |
| |
| typedef std::conditional_t<NeedToTranspose, Transpose<Dst>, Dst> ActualDstTypeCleaned; |
| typedef std::conditional_t<NeedToTranspose, Transpose<Dst>, Dst&> ActualDstType; |
| ActualDstType actualDst(dst); |
| |
| // TODO check whether this is the right place to perform these checks: |
| EIGEN_STATIC_ASSERT_LVALUE(Dst) |
| EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned, Src) |
| EIGEN_CHECK_BINARY_COMPATIBILIY(Func, typename ActualDstTypeCleaned::Scalar, typename Src::Scalar); |
| |
| Assignment<ActualDstTypeCleaned, Src, Func>::run(actualDst, src, func); |
| } |
| |
| template <typename Dst, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_restricted_packet_assignment_no_alias(Dst& dst, const Src& src, |
| const Func& func) { |
| typedef evaluator<Dst> DstEvaluatorType; |
| typedef evaluator<Src> SrcEvaluatorType; |
| typedef restricted_packet_dense_assignment_kernel<DstEvaluatorType, SrcEvaluatorType, Func> Kernel; |
| |
| EIGEN_STATIC_ASSERT_LVALUE(Dst) |
| EIGEN_CHECK_BINARY_COMPATIBILIY(Func, typename Dst::Scalar, typename Src::Scalar); |
| |
| SrcEvaluatorType srcEvaluator(src); |
| resize_if_allowed(dst, src, func); |
| |
| DstEvaluatorType dstEvaluator(dst); |
| Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived()); |
| |
| dense_assignment_loop<Kernel>::run(kernel); |
| } |
| |
| template <typename Dst, typename Src> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment_no_alias(Dst& dst, const Src& src) { |
| call_assignment_no_alias(dst, src, internal::assign_op<typename Dst::Scalar, typename Src::Scalar>()); |
| } |
| |
| template <typename Dst, typename Src, typename Func> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment_no_alias_no_transpose(Dst& dst, |
| const Src& src, |
| const Func& func) { |
| // TODO check whether this is the right place to perform these checks: |
| EIGEN_STATIC_ASSERT_LVALUE(Dst) |
| EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Dst, Src) |
| EIGEN_CHECK_BINARY_COMPATIBILIY(Func, typename Dst::Scalar, typename Src::Scalar); |
| |
| Assignment<Dst, Src, Func>::run(dst, src, func); |
| } |
| template <typename Dst, typename Src> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment_no_alias_no_transpose(Dst& dst, |
| const Src& src) { |
| call_assignment_no_alias_no_transpose(dst, src, internal::assign_op<typename Dst::Scalar, typename Src::Scalar>()); |
| } |
| |
| // forward declaration |
| template <typename Dst, typename Src> |
| EIGEN_DEVICE_FUNC void check_for_aliasing(const Dst& dst, const Src& src); |
| |
| // Generic Dense to Dense assignment |
| // Note that the last template argument "Weak" is needed to make it possible to perform |
| // both partial specialization+SFINAE without ambiguous specialization |
| template <typename DstXprType, typename SrcXprType, typename Functor, typename Weak> |
| struct Assignment<DstXprType, SrcXprType, Functor, Dense2Dense, Weak> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(DstXprType& dst, const SrcXprType& src, const Functor& func) { |
| #ifndef EIGEN_NO_DEBUG |
| internal::check_for_aliasing(dst, src); |
| #endif |
| |
| call_dense_assignment_loop(dst, src, func); |
| } |
| }; |
| |
| // Generic assignment through evalTo. |
| // TODO: not sure we have to keep that one, but it helps porting current code to new evaluator mechanism. |
| // Note that the last template argument "Weak" is needed to make it possible to perform |
| // both partial specialization+SFINAE without ambiguous specialization |
| template <typename DstXprType, typename SrcXprType, typename Functor, typename Weak> |
| struct Assignment<DstXprType, SrcXprType, Functor, EigenBase2EigenBase, Weak> { |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run( |
| DstXprType& dst, const SrcXprType& src, |
| const internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>& /*func*/) { |
| Index dstRows = src.rows(); |
| Index dstCols = src.cols(); |
| if ((dst.rows() != dstRows) || (dst.cols() != dstCols)) dst.resize(dstRows, dstCols); |
| |
| eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); |
| src.evalTo(dst); |
| } |
| |
| // NOTE The following two functions are templated to avoid their instantiation if not needed |
| // This is needed because some expressions supports evalTo only and/or have 'void' as scalar type. |
| template <typename SrcScalarType> |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run( |
| DstXprType& dst, const SrcXprType& src, |
| const internal::add_assign_op<typename DstXprType::Scalar, SrcScalarType>& /*func*/) { |
| Index dstRows = src.rows(); |
| Index dstCols = src.cols(); |
| if ((dst.rows() != dstRows) || (dst.cols() != dstCols)) dst.resize(dstRows, dstCols); |
| |
| eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); |
| src.addTo(dst); |
| } |
| |
| template <typename SrcScalarType> |
| EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run( |
| DstXprType& dst, const SrcXprType& src, |
| const internal::sub_assign_op<typename DstXprType::Scalar, SrcScalarType>& /*func*/) { |
| Index dstRows = src.rows(); |
| Index dstCols = src.cols(); |
| if ((dst.rows() != dstRows) || (dst.cols() != dstCols)) dst.resize(dstRows, dstCols); |
| |
| eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); |
| src.subTo(dst); |
| } |
| }; |
| |
| } // namespace internal |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_ASSIGN_EVALUATOR_H |
