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1010 lines
41 KiB
1010 lines
41 KiB
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_ASSIGN_EVALUATOR_H
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#define EIGEN_ASSIGN_EVALUATOR_H
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namespace Eigen {
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// This implementation is based on Assign.h
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namespace internal {
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/***************************************************************************
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* Part 1 : the logic deciding a strategy for traversal and unrolling *
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***************************************************************************/
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// copy_using_evaluator_traits is based on assign_traits
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template <typename DstEvaluator, typename SrcEvaluator, typename AssignFunc, int MaxPacketSize = -1>
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struct copy_using_evaluator_traits
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{
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typedef typename DstEvaluator::XprType Dst;
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typedef typename Dst::Scalar DstScalar;
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enum {
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DstFlags = DstEvaluator::Flags,
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SrcFlags = SrcEvaluator::Flags
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};
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public:
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enum {
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DstAlignment = DstEvaluator::Alignment,
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SrcAlignment = SrcEvaluator::Alignment,
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DstHasDirectAccess = (DstFlags & DirectAccessBit) == DirectAccessBit,
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JointAlignment = EIGEN_PLAIN_ENUM_MIN(DstAlignment,SrcAlignment)
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};
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private:
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enum {
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InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
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: int(DstFlags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
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: int(Dst::RowsAtCompileTime),
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InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
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: int(DstFlags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
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: int(Dst::MaxRowsAtCompileTime),
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RestrictedInnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(InnerSize,MaxPacketSize),
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RestrictedLinearSize = EIGEN_SIZE_MIN_PREFER_FIXED(Dst::SizeAtCompileTime,MaxPacketSize),
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OuterStride = int(outer_stride_at_compile_time<Dst>::ret),
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MaxSizeAtCompileTime = Dst::SizeAtCompileTime
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};
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// TODO distinguish between linear traversal and inner-traversals
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typedef typename find_best_packet<DstScalar,RestrictedLinearSize>::type LinearPacketType;
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typedef typename find_best_packet<DstScalar,RestrictedInnerSize>::type InnerPacketType;
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enum {
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LinearPacketSize = unpacket_traits<LinearPacketType>::size,
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InnerPacketSize = unpacket_traits<InnerPacketType>::size
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};
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public:
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enum {
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LinearRequiredAlignment = unpacket_traits<LinearPacketType>::alignment,
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InnerRequiredAlignment = unpacket_traits<InnerPacketType>::alignment
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};
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private:
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enum {
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DstIsRowMajor = DstFlags&RowMajorBit,
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SrcIsRowMajor = SrcFlags&RowMajorBit,
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StorageOrdersAgree = (int(DstIsRowMajor) == int(SrcIsRowMajor)),
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MightVectorize = bool(StorageOrdersAgree)
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&& (int(DstFlags) & int(SrcFlags) & ActualPacketAccessBit)
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&& bool(functor_traits<AssignFunc>::PacketAccess),
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MayInnerVectorize = MightVectorize
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&& int(InnerSize)!=Dynamic && int(InnerSize)%int(InnerPacketSize)==0
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&& int(OuterStride)!=Dynamic && int(OuterStride)%int(InnerPacketSize)==0
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&& (EIGEN_UNALIGNED_VECTORIZE || int(JointAlignment)>=int(InnerRequiredAlignment)),
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MayLinearize = bool(StorageOrdersAgree) && (int(DstFlags) & int(SrcFlags) & LinearAccessBit),
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MayLinearVectorize = bool(MightVectorize) && bool(MayLinearize) && bool(DstHasDirectAccess)
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&& (EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)) || MaxSizeAtCompileTime == Dynamic),
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/* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
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so it's only good for large enough sizes. */
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MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)
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&& (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=(EIGEN_UNALIGNED_VECTORIZE?InnerPacketSize:(3*InnerPacketSize)))
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/* slice vectorization can be slow, so we only want it if the slices are big, which is
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indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
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in a fixed-size matrix
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However, with EIGEN_UNALIGNED_VECTORIZE and unrolling, slice vectorization is still worth it */
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};
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public:
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enum {
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Traversal = int(Dst::SizeAtCompileTime) == 0 ? int(AllAtOnceTraversal) // If compile-size is zero, traversing will fail at compile-time.
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: (int(MayLinearVectorize) && (LinearPacketSize>InnerPacketSize)) ? int(LinearVectorizedTraversal)
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: int(MayInnerVectorize) ? int(InnerVectorizedTraversal)
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: int(MayLinearVectorize) ? int(LinearVectorizedTraversal)
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: int(MaySliceVectorize) ? int(SliceVectorizedTraversal)
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: int(MayLinearize) ? int(LinearTraversal)
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: int(DefaultTraversal),
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Vectorized = int(Traversal) == InnerVectorizedTraversal
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|| int(Traversal) == LinearVectorizedTraversal
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|| int(Traversal) == SliceVectorizedTraversal
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};
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typedef typename conditional<int(Traversal)==LinearVectorizedTraversal, LinearPacketType, InnerPacketType>::type PacketType;
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private:
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enum {
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ActualPacketSize = int(Traversal)==LinearVectorizedTraversal ? LinearPacketSize
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: Vectorized ? InnerPacketSize
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: 1,
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UnrollingLimit = EIGEN_UNROLLING_LIMIT * ActualPacketSize,
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MayUnrollCompletely = int(Dst::SizeAtCompileTime) != Dynamic
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&& int(Dst::SizeAtCompileTime) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit),
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MayUnrollInner = int(InnerSize) != Dynamic
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&& int(InnerSize) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit)
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};
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public:
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enum {
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Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
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? (
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int(MayUnrollCompletely) ? int(CompleteUnrolling)
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: int(MayUnrollInner) ? int(InnerUnrolling)
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: int(NoUnrolling)
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)
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: int(Traversal) == int(LinearVectorizedTraversal)
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? ( bool(MayUnrollCompletely) && ( EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)))
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? int(CompleteUnrolling)
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: int(NoUnrolling) )
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: int(Traversal) == int(LinearTraversal)
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? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling)
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: int(NoUnrolling) )
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#if EIGEN_UNALIGNED_VECTORIZE
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: int(Traversal) == int(SliceVectorizedTraversal)
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? ( bool(MayUnrollInner) ? int(InnerUnrolling)
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: int(NoUnrolling) )
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#endif
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: int(NoUnrolling)
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};
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#ifdef EIGEN_DEBUG_ASSIGN
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static void debug()
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{
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std::cerr << "DstXpr: " << typeid(typename DstEvaluator::XprType).name() << std::endl;
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std::cerr << "SrcXpr: " << typeid(typename SrcEvaluator::XprType).name() << std::endl;
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std::cerr.setf(std::ios::hex, std::ios::basefield);
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std::cerr << "DstFlags" << " = " << DstFlags << " (" << demangle_flags(DstFlags) << " )" << std::endl;
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std::cerr << "SrcFlags" << " = " << SrcFlags << " (" << demangle_flags(SrcFlags) << " )" << std::endl;
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std::cerr.unsetf(std::ios::hex);
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EIGEN_DEBUG_VAR(DstAlignment)
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EIGEN_DEBUG_VAR(SrcAlignment)
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EIGEN_DEBUG_VAR(LinearRequiredAlignment)
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EIGEN_DEBUG_VAR(InnerRequiredAlignment)
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EIGEN_DEBUG_VAR(JointAlignment)
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EIGEN_DEBUG_VAR(InnerSize)
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EIGEN_DEBUG_VAR(InnerMaxSize)
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EIGEN_DEBUG_VAR(LinearPacketSize)
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EIGEN_DEBUG_VAR(InnerPacketSize)
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EIGEN_DEBUG_VAR(ActualPacketSize)
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EIGEN_DEBUG_VAR(StorageOrdersAgree)
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EIGEN_DEBUG_VAR(MightVectorize)
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EIGEN_DEBUG_VAR(MayLinearize)
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EIGEN_DEBUG_VAR(MayInnerVectorize)
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EIGEN_DEBUG_VAR(MayLinearVectorize)
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EIGEN_DEBUG_VAR(MaySliceVectorize)
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std::cerr << "Traversal" << " = " << Traversal << " (" << demangle_traversal(Traversal) << ")" << std::endl;
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EIGEN_DEBUG_VAR(SrcEvaluator::CoeffReadCost)
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EIGEN_DEBUG_VAR(DstEvaluator::CoeffReadCost)
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EIGEN_DEBUG_VAR(Dst::SizeAtCompileTime)
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EIGEN_DEBUG_VAR(UnrollingLimit)
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EIGEN_DEBUG_VAR(MayUnrollCompletely)
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EIGEN_DEBUG_VAR(MayUnrollInner)
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std::cerr << "Unrolling" << " = " << Unrolling << " (" << demangle_unrolling(Unrolling) << ")" << std::endl;
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std::cerr << std::endl;
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}
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#endif
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};
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/***************************************************************************
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* Part 2 : meta-unrollers
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***************************************************************************/
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/************************
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*** Default traversal ***
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************************/
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template<typename Kernel, int Index, int Stop>
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struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling
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{
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// FIXME: this is not very clean, perhaps this information should be provided by the kernel?
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typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
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typedef typename DstEvaluatorType::XprType DstXprType;
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enum {
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outer = Index / DstXprType::InnerSizeAtCompileTime,
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inner = Index % DstXprType::InnerSizeAtCompileTime
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};
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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{
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kernel.assignCoeffByOuterInner(outer, inner);
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copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
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}
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};
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template<typename Kernel, int Stop>
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struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Stop, Stop>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
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};
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template<typename Kernel, int Index_, int Stop>
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struct copy_using_evaluator_DefaultTraversal_InnerUnrolling
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
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{
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kernel.assignCoeffByOuterInner(outer, Index_);
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copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Index_+1, Stop>::run(kernel, outer);
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}
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};
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template<typename Kernel, int Stop>
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struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Stop, Stop>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) { }
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};
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/***********************
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*** Linear traversal ***
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***********************/
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template<typename Kernel, int Index, int Stop>
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struct copy_using_evaluator_LinearTraversal_CompleteUnrolling
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel)
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{
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kernel.assignCoeff(Index);
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copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
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}
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};
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template<typename Kernel, int Stop>
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struct copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Stop, Stop>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
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};
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/**************************
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*** Inner vectorization ***
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**************************/
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template<typename Kernel, int Index, int Stop>
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struct copy_using_evaluator_innervec_CompleteUnrolling
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{
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// FIXME: this is not very clean, perhaps this information should be provided by the kernel?
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typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
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typedef typename DstEvaluatorType::XprType DstXprType;
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typedef typename Kernel::PacketType PacketType;
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enum {
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outer = Index / DstXprType::InnerSizeAtCompileTime,
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inner = Index % DstXprType::InnerSizeAtCompileTime,
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SrcAlignment = Kernel::AssignmentTraits::SrcAlignment,
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DstAlignment = Kernel::AssignmentTraits::DstAlignment
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};
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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{
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kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner);
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enum { NextIndex = Index + unpacket_traits<PacketType>::size };
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copy_using_evaluator_innervec_CompleteUnrolling<Kernel, NextIndex, Stop>::run(kernel);
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}
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};
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template<typename Kernel, int Stop>
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struct copy_using_evaluator_innervec_CompleteUnrolling<Kernel, Stop, Stop>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
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};
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template<typename Kernel, int Index_, int Stop, int SrcAlignment, int DstAlignment>
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struct copy_using_evaluator_innervec_InnerUnrolling
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{
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typedef typename Kernel::PacketType PacketType;
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
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{
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kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, Index_);
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enum { NextIndex = Index_ + unpacket_traits<PacketType>::size };
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copy_using_evaluator_innervec_InnerUnrolling<Kernel, NextIndex, Stop, SrcAlignment, DstAlignment>::run(kernel, outer);
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}
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};
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template<typename Kernel, int Stop, int SrcAlignment, int DstAlignment>
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struct copy_using_evaluator_innervec_InnerUnrolling<Kernel, Stop, Stop, SrcAlignment, DstAlignment>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &, Index) { }
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};
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/***************************************************************************
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* Part 3 : implementation of all cases
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***************************************************************************/
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// dense_assignment_loop is based on assign_impl
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template<typename Kernel,
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int Traversal = Kernel::AssignmentTraits::Traversal,
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int Unrolling = Kernel::AssignmentTraits::Unrolling>
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struct dense_assignment_loop;
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/************************
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***** Special Cases *****
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************************/
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// Zero-sized assignment is a no-op.
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template<typename Kernel, int Unrolling>
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struct dense_assignment_loop<Kernel, AllAtOnceTraversal, Unrolling>
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{
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EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel& /*kernel*/)
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{
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typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
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EIGEN_STATIC_ASSERT(int(DstXprType::SizeAtCompileTime) == 0,
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EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT)
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}
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};
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/************************
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*** Default traversal ***
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************************/
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template<typename Kernel>
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struct dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling>
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{
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EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel &kernel)
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{
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for(Index outer = 0; outer < kernel.outerSize(); ++outer) {
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for(Index inner = 0; inner < kernel.innerSize(); ++inner) {
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kernel.assignCoeffByOuterInner(outer, inner);
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}
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}
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}
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};
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template<typename Kernel>
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struct dense_assignment_loop<Kernel, DefaultTraversal, CompleteUnrolling>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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{
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typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
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copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
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}
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};
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template<typename Kernel>
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struct dense_assignment_loop<Kernel, DefaultTraversal, InnerUnrolling>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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{
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typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
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const Index outerSize = kernel.outerSize();
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for(Index outer = 0; outer < outerSize; ++outer)
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copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime>::run(kernel, outer);
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}
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};
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/***************************
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*** Linear vectorization ***
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***************************/
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// The goal of unaligned_dense_assignment_loop is simply to factorize the handling
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// of the non vectorizable beginning and ending parts
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template <bool IsAligned = false>
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struct unaligned_dense_assignment_loop
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{
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// if IsAligned = true, then do nothing
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template <typename Kernel>
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index, Index) {}
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};
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template <>
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struct unaligned_dense_assignment_loop<false>
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{
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// MSVC must not inline this functions. If it does, it fails to optimize the
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// packet access path.
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// FIXME check which version exhibits this issue
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#if EIGEN_COMP_MSVC
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template <typename Kernel>
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static EIGEN_DONT_INLINE void run(Kernel &kernel,
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Index start,
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Index end)
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#else
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template <typename Kernel>
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel,
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Index start,
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Index end)
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#endif
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{
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for (Index index = start; index < end; ++index)
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kernel.assignCoeff(index);
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}
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};
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template<typename Kernel>
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struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, NoUnrolling>
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{
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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{
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const Index size = kernel.size();
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typedef typename Kernel::Scalar Scalar;
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typedef typename Kernel::PacketType PacketType;
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enum {
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requestedAlignment = Kernel::AssignmentTraits::LinearRequiredAlignment,
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packetSize = unpacket_traits<PacketType>::size,
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dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment)>=int(requestedAlignment),
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dstAlignment = packet_traits<Scalar>::AlignedOnScalar ? int(requestedAlignment)
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: int(Kernel::AssignmentTraits::DstAlignment),
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srcAlignment = Kernel::AssignmentTraits::JointAlignment
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};
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const Index alignedStart = dstIsAligned ? 0 : internal::first_aligned<requestedAlignment>(kernel.dstDataPtr(), size);
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const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
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unaligned_dense_assignment_loop<dstIsAligned!=0>::run(kernel, 0, alignedStart);
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for(Index index = alignedStart; index < alignedEnd; index += packetSize)
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kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
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|
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unaligned_dense_assignment_loop<>::run(kernel, alignedEnd, size);
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}
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};
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template<typename Kernel>
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struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, CompleteUnrolling>
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{
|
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
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|
{
|
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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_innervec_CompleteUnrolling<Kernel, 0, alignedSize>::run(kernel);
|
|
copy_using_evaluator_DefaultTraversal_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 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 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 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 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)) && (UIntPtr(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 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 PacketType>
|
|
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,PacketType>(row,col));
|
|
}
|
|
|
|
template<int StoreMode, int LoadMode, typename PacketType>
|
|
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index index)
|
|
{
|
|
m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
|
|
}
|
|
|
|
template<int StoreMode, int LoadMode, typename PacketType>
|
|
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,PacketType>(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 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
|
|
void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if< evaluator_assume_aliasing<Src>::value, void*>::type = 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, typename enable_if<!evaluator_assume_aliasing<Src>::value, void*>::type = 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
|
|
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
|
|
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 typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst>::type ActualDstTypeCleaned;
|
|
typedef typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst&>::type 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
|
|
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
|
|
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
|
|
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> 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
|
|
|