482 lines
23 KiB
C++
482 lines
23 KiB
C++
// 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) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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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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#ifdef EIGEN_TEST_PART_1
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#define EIGEN_UNALIGNED_VECTORIZE 1
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#endif
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#ifdef EIGEN_TEST_PART_2
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#define EIGEN_UNALIGNED_VECTORIZE 0
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#endif
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#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
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#undef EIGEN_DEFAULT_TO_ROW_MAJOR
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#endif
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#define EIGEN_DEBUG_ASSIGN
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#include "main.h"
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#include <typeinfo>
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// Disable "ignoring attributes on template argument"
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// for packet_traits<Packet*>
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// => The only workaround would be to wrap _m128 and the likes
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// within wrappers.
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#if EIGEN_GNUC_STRICT_AT_LEAST(6, 0, 0)
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#pragma GCC diagnostic ignored "-Wignored-attributes"
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#endif
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using internal::demangle_flags;
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using internal::demangle_traversal;
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using internal::demangle_unrolling;
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template <typename Dst, typename Src>
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bool test_assign(const Dst&, const Src&, int traversal, int unrolling) {
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EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Dst, Src);
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typedef internal::copy_using_evaluator_traits<internal::evaluator<Dst>, internal::evaluator<Src>,
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internal::assign_op<typename Dst::Scalar, typename Src::Scalar> >
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traits;
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// If traversal or unrolling are negative, ignore.
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bool res = traversal > -1 ? traits::Traversal == traversal : true;
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if (unrolling > -1) {
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if (unrolling == InnerUnrolling + CompleteUnrolling) {
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res = res && (int(traits::Unrolling) == InnerUnrolling || int(traits::Unrolling) == CompleteUnrolling);
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} else {
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res = res && int(traits::Unrolling) == unrolling;
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}
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}
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if (!res) {
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std::cerr << "Src: " << demangle_flags(Src::Flags) << std::endl;
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std::cerr << " " << demangle_flags(internal::evaluator<Src>::Flags) << std::endl;
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std::cerr << "Dst: " << demangle_flags(Dst::Flags) << std::endl;
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std::cerr << " " << demangle_flags(internal::evaluator<Dst>::Flags) << std::endl;
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traits::debug();
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal) << " got "
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<< demangle_traversal(traits::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling) << " got "
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<< demangle_unrolling(traits::Unrolling) << "\n";
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}
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return res;
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}
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template <typename Dst, typename Src>
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bool test_assign(int traversal, int unrolling) {
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EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Dst, Src);
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typedef internal::copy_using_evaluator_traits<internal::evaluator<Dst>, internal::evaluator<Src>,
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internal::assign_op<typename Dst::Scalar, typename Src::Scalar> >
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traits;
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bool res = traits::Traversal == traversal && traits::Unrolling == unrolling;
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if (!res) {
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std::cerr << "Src: " << demangle_flags(Src::Flags) << std::endl;
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std::cerr << " " << demangle_flags(internal::evaluator<Src>::Flags) << std::endl;
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std::cerr << "Dst: " << demangle_flags(Dst::Flags) << std::endl;
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std::cerr << " " << demangle_flags(internal::evaluator<Dst>::Flags) << std::endl;
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traits::debug();
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal) << " got "
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<< demangle_traversal(traits::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling) << " got "
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<< demangle_unrolling(traits::Unrolling) << "\n";
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}
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return res;
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}
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template <typename Xpr>
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bool test_redux(const Xpr&, int traversal, int unrolling) {
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typedef typename Xpr::Scalar Scalar;
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typedef internal::redux_traits<internal::scalar_sum_op<Scalar, Scalar>, internal::redux_evaluator<Xpr> > traits;
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bool res = traits::Traversal == traversal && traits::Unrolling == unrolling;
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if (!res) {
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std::cerr << demangle_flags(Xpr::Flags) << std::endl;
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std::cerr << demangle_flags(internal::evaluator<Xpr>::Flags) << std::endl;
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traits::debug();
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std::cerr << " Expected Traversal == " << demangle_traversal(traversal) << " got "
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<< demangle_traversal(traits::Traversal) << "\n";
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std::cerr << " Expected Unrolling == " << demangle_unrolling(unrolling) << " got "
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<< demangle_unrolling(traits::Unrolling) << "\n";
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}
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return res;
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}
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template <typename Scalar, bool Enable = internal::packet_traits<Scalar>::Vectorizable>
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struct vectorization_logic {
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typedef internal::packet_traits<Scalar> PacketTraits;
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typedef typename internal::packet_traits<Scalar>::type PacketType;
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typedef typename internal::unpacket_traits<PacketType>::half HalfPacketType;
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enum {
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PacketSize = internal::unpacket_traits<PacketType>::size,
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HalfPacketSize = internal::unpacket_traits<HalfPacketType>::size
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};
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static void run() {
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typedef Matrix<Scalar, PacketSize, 1> Vector1;
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typedef Matrix<Scalar, Dynamic, 1> VectorX;
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typedef Matrix<Scalar, Dynamic, Dynamic> MatrixXX;
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typedef Matrix<Scalar, PacketSize, PacketSize> Matrix11;
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typedef Matrix<Scalar, (Matrix11::Flags & RowMajorBit) ? 8 : 2 * PacketSize,
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(Matrix11::Flags & RowMajorBit) ? 2 * PacketSize : 8>
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Matrix22;
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typedef Matrix<Scalar, (Matrix11::Flags & RowMajorBit) ? 16 : 4 * PacketSize,
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(Matrix11::Flags & RowMajorBit) ? 4 * PacketSize : 16>
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Matrix44;
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typedef Matrix<Scalar, (Matrix11::Flags & RowMajorBit) ? 16 : 4 * PacketSize,
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(Matrix11::Flags & RowMajorBit) ? 4 * PacketSize : 16,
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DontAlign | EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION>
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Matrix44u;
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typedef Matrix<Scalar, 4 * PacketSize, 4 * PacketSize, ColMajor> Matrix44c;
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typedef Matrix<Scalar, 4 * PacketSize, 4 * PacketSize, RowMajor> Matrix44r;
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typedef Matrix<Scalar,
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(PacketSize == 16 ? 8
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: PacketSize == 8 ? 4
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 1
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: /*PacketSize==1 ?*/ 1),
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(PacketSize == 16 ? 2
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: PacketSize == 8 ? 2
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 2
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: /*PacketSize==1 ?*/ 1)>
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Matrix1;
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typedef Matrix<Scalar,
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(PacketSize == 16 ? 8
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: PacketSize == 8 ? 4
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 1
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: /*PacketSize==1 ?*/ 1),
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(PacketSize == 16 ? 2
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: PacketSize == 8 ? 2
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 2
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: /*PacketSize==1 ?*/ 1),
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DontAlign | ((Matrix1::Flags & RowMajorBit) ? RowMajor : ColMajor)>
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Matrix1u;
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// this type is made such that it can only be vectorized when viewed as a linear 1D vector
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typedef Matrix<Scalar,
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(PacketSize == 16 ? 4
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: PacketSize == 8 ? 4
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: PacketSize == 4 ? 6
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: PacketSize == 2 ? ((Matrix11::Flags & RowMajorBit) ? 2 : 3)
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: /*PacketSize==1 ?*/ 1),
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(PacketSize == 16 ? 12
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: PacketSize == 8 ? 6
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? ((Matrix11::Flags & RowMajorBit) ? 3 : 2)
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: /*PacketSize==1 ?*/ 3)>
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Matrix3;
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#if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT
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VERIFY(test_assign(Vector1(), Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1() + Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1().cwiseProduct(Vector1()), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1().template cast<Scalar>(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Matrix44(), Matrix44() + Matrix44(), InnerVectorizedTraversal, InnerUnrolling));
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VERIFY(test_assign(Matrix44u(), Matrix44() + Matrix44(),
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EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearTraversal,
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EIGEN_UNALIGNED_VECTORIZE ? InnerUnrolling : NoUnrolling));
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VERIFY(test_assign(Matrix1(), Matrix1() + Matrix1(),
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(int(Matrix1::InnerSizeAtCompileTime) % int(PacketSize)) == 0 ? InnerVectorizedTraversal
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: LinearVectorizedTraversal,
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CompleteUnrolling));
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VERIFY(test_assign(Matrix1u(), Matrix1() + Matrix1(),
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EIGEN_UNALIGNED_VECTORIZE
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? ((int(Matrix1::InnerSizeAtCompileTime) % int(PacketSize)) == 0 ? InnerVectorizedTraversal
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: LinearVectorizedTraversal)
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: LinearTraversal,
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CompleteUnrolling));
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VERIFY(test_assign(Matrix44c().col(1), Matrix44c().col(2) + Matrix44c().col(3), InnerVectorizedTraversal,
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CompleteUnrolling));
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VERIFY(test_assign(Matrix44r().row(2), Matrix44r().row(1) + Matrix44r().row(1), InnerVectorizedTraversal,
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CompleteUnrolling));
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if (PacketSize > 1) {
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typedef Matrix<Scalar, 3, 3, ColMajor> Matrix33c;
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typedef Matrix<Scalar, 3, 1, ColMajor> Vector3;
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VERIFY(
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test_assign(Matrix33c().row(2), Matrix33c().row(1) + Matrix33c().row(1), LinearTraversal, CompleteUnrolling));
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// Vectorization depends on too many factors - ignore.
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VERIFY(test_assign(Vector3(), Vector3() + Vector3(), -1, CompleteUnrolling));
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VERIFY(test_assign(Matrix3(), Matrix3().cwiseProduct(Matrix3()), LinearVectorizedTraversal, CompleteUnrolling));
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// Vectorization depends on too many factors - ignore.
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VERIFY(
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test_assign(Matrix<Scalar, 17, 17>(), Matrix<Scalar, 17, 17>() + Matrix<Scalar, 17, 17>(), -1, NoUnrolling));
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VERIFY(test_assign(Matrix11(), Matrix11() + Matrix11(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Matrix11(),
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Matrix<Scalar, 21, 21>().template block<PacketSize, PacketSize>(2, 3) +
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Matrix<Scalar, 21, 21>().template block<PacketSize, PacketSize>(3, 2),
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(EIGEN_UNALIGNED_VECTORIZE) ? InnerVectorizedTraversal : DefaultTraversal,
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CompleteUnrolling | InnerUnrolling));
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VERIFY(test_assign(Vector1(), Matrix11() * Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Matrix11(), Matrix11().lazyProduct(Matrix11()), InnerVectorizedTraversal,
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InnerUnrolling + CompleteUnrolling));
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}
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VERIFY(test_redux(Vector1(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Vector1().array() * Vector1().array(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux((Vector1().array() * Vector1().array()).col(0), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix<Scalar, PacketSize, 3>(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix3(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix44(), LinearVectorizedTraversal, NoUnrolling));
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if (PacketSize > 1) {
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VERIFY(test_redux(Matrix44().template block < (Matrix1::Flags & RowMajorBit) ? 4 : PacketSize,
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(Matrix1::Flags & RowMajorBit) ? PacketSize : 4 > (1, 2), SliceVectorizedTraversal,
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CompleteUnrolling));
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VERIFY(test_redux(Matrix44().template block < (Matrix1::Flags & RowMajorBit) ? 2 : PacketSize,
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(Matrix1::Flags & RowMajorBit) ? PacketSize : 2 > (1, 2), DefaultTraversal, CompleteUnrolling));
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}
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VERIFY(
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test_redux(Matrix44c().template block<2 * PacketSize, 1>(1, 2), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(
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test_redux(Matrix44r().template block<1, 2 * PacketSize>(2, 1), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY((test_assign<Map<Matrix22, AlignedMax, OuterStride<3 * PacketSize> >, Matrix22>(InnerVectorizedTraversal,
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CompleteUnrolling)));
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VERIFY((test_assign<
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Map<Matrix<Scalar, internal::plain_enum_max(2, PacketSize), internal::plain_enum_max(2, PacketSize)>,
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AlignedMax, InnerStride<3 * PacketSize> >,
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Matrix<Scalar, internal::plain_enum_max(2, PacketSize), internal::plain_enum_max(2, PacketSize)> >(
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DefaultTraversal, PacketSize >= 8 ? InnerUnrolling : CompleteUnrolling)));
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VERIFY((test_assign(Matrix11(),
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Matrix<Scalar, PacketSize, internal::plain_enum_min(2, PacketSize)>() *
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Matrix<Scalar, internal::plain_enum_min(2, PacketSize), PacketSize>(),
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InnerVectorizedTraversal, CompleteUnrolling)));
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#endif
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VERIFY(test_assign(MatrixXX(10, 10), MatrixXX(20, 20).block(10, 10, 2, 3), SliceVectorizedTraversal, NoUnrolling));
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VERIFY(test_redux(VectorX(10), LinearVectorizedTraversal, NoUnrolling));
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}
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};
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template <typename Scalar>
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struct vectorization_logic<Scalar, false> {
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static void run() {}
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};
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template <typename Scalar, bool Enable = !internal::is_same<
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typename internal::unpacket_traits<typename internal::packet_traits<Scalar>::type>::half,
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typename internal::packet_traits<Scalar>::type>::value>
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struct vectorization_logic_half {
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typedef internal::packet_traits<Scalar> PacketTraits;
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typedef typename internal::unpacket_traits<typename internal::packet_traits<Scalar>::type>::half PacketType;
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static constexpr int PacketSize = internal::unpacket_traits<PacketType>::size;
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static void run() {
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// Some half-packets have a byte size < EIGEN_MIN_ALIGN_BYTES (e.g. Packet2f),
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// which causes many of these tests to fail since they don't vectorize if
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// EIGEN_UNALIGNED_VECTORIZE is 0 (the matrix is assumed unaligned).
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// Adjust the matrix sizes to account for these alignment issues.
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constexpr int PacketBytes = sizeof(Scalar) * PacketSize;
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constexpr int MinVSize = int(EIGEN_UNALIGNED_VECTORIZE) ? PacketSize
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: PacketBytes >= EIGEN_MIN_ALIGN_BYTES
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? PacketSize
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: (EIGEN_MIN_ALIGN_BYTES + sizeof(Scalar) - 1) / sizeof(Scalar);
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typedef Matrix<Scalar, MinVSize, 1> Vector1;
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typedef Matrix<Scalar, MinVSize, MinVSize> Matrix11;
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typedef Matrix<Scalar, 5 * MinVSize, 7, ColMajor> Matrix57;
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typedef Matrix<Scalar, 3 * MinVSize, 5, ColMajor> Matrix35;
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typedef Matrix<Scalar, 5 * MinVSize, 7, DontAlign | ColMajor> Matrix57u;
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typedef Matrix<Scalar,
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(PacketSize == 16 ? 8
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: PacketSize == 8 ? 4
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 1
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: /*PacketSize==1 ?*/ 1),
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(PacketSize == 16 ? 2
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: PacketSize == 8 ? 2
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 2
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: /*PacketSize==1 ?*/ 1)>
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Matrix1;
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typedef Matrix<Scalar,
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(PacketSize == 16 ? 8
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: PacketSize == 8 ? 4
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 1
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: /*PacketSize==1 ?*/ 1),
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(PacketSize == 16 ? 2
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: PacketSize == 8 ? 2
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: PacketSize == 4 ? 2
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: PacketSize == 2 ? 2
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: /*PacketSize==1 ?*/ 1),
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DontAlign | ((Matrix1::Flags & RowMajorBit) ? RowMajor : ColMajor)>
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Matrix1u;
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// this type is made such that it can only be vectorized when viewed as a linear 1D vector
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typedef Matrix<Scalar,
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(MinVSize == 16 ? 4
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: MinVSize == 8 ? 4
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: MinVSize == 4 ? 6
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: MinVSize == 2 ? ((Matrix11::Flags & RowMajorBit) ? 2 : 3)
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: /*PacketSize==1 ?*/ 1),
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(MinVSize == 16 ? 12
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: MinVSize == 8 ? 6
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: MinVSize == 4 ? 2
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: MinVSize == 2 ? ((Matrix11::Flags & RowMajorBit) ? 3 : 2)
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: /*PacketSize==1 ?*/ 3)>
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Matrix3;
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#if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT
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VERIFY(test_assign(Vector1(), Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1() + Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1().template segment<MinVSize>(0).derived(),
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EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearVectorizedTraversal,
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CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Scalar(2.1) * Vector1() - Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(
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Vector1(),
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(Scalar(2.1) * Vector1().template segment<MinVSize>(0) - Vector1().template segment<MinVSize>(0)).derived(),
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EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1().cwiseProduct(Vector1()), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Vector1().template cast<Scalar>(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Matrix57(), Matrix57() + Matrix57(), InnerVectorizedTraversal, InnerUnrolling));
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VERIFY(test_assign(Matrix57u(), Matrix57() + Matrix57(),
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EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : LinearTraversal,
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EIGEN_UNALIGNED_VECTORIZE ? InnerUnrolling : NoUnrolling));
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VERIFY(test_assign(Matrix1u(), Matrix1() + Matrix1(),
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EIGEN_UNALIGNED_VECTORIZE
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? ((int(Matrix1::InnerSizeAtCompileTime) % int(PacketSize)) == 0 ? InnerVectorizedTraversal
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: LinearVectorizedTraversal)
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: LinearTraversal,
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CompleteUnrolling));
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if (PacketSize > 1) {
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typedef Matrix<Scalar, 3, 3, ColMajor> Matrix33c;
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VERIFY(
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test_assign(Matrix33c().row(2), Matrix33c().row(1) + Matrix33c().row(1), LinearTraversal, CompleteUnrolling));
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// Unrolling depends on read costs and unroll limits, which vary - ignore.
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VERIFY(test_assign(Matrix3(), Matrix3().cwiseQuotient(Matrix3()),
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PacketTraits::HasDiv ? LinearVectorizedTraversal : LinearTraversal, -1));
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VERIFY(test_assign(Matrix<Scalar, 17, 17>(), Matrix<Scalar, 17, 17>() + Matrix<Scalar, 17, 17>(),
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sizeof(Scalar) == 16
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? InnerVectorizedTraversal
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: (EIGEN_UNALIGNED_VECTORIZE ? LinearVectorizedTraversal : LinearTraversal),
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NoUnrolling));
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VERIFY(test_assign(Matrix11(),
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Matrix<Scalar, 17, 17>().template block<MinVSize, MinVSize>(2, 3) +
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Matrix<Scalar, 17, 17>().template block<MinVSize, MinVSize>(8, 4),
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EIGEN_UNALIGNED_VECTORIZE ? InnerVectorizedTraversal : DefaultTraversal,
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InnerUnrolling + CompleteUnrolling));
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VERIFY(test_assign(Vector1(), Matrix11() * Vector1(), InnerVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_assign(Matrix11(), Matrix11().lazyProduct(Matrix11()), InnerVectorizedTraversal,
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InnerUnrolling + CompleteUnrolling));
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}
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VERIFY(test_redux(Vector1(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix<Scalar, MinVSize, 3>(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix3(), LinearVectorizedTraversal, CompleteUnrolling));
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VERIFY(test_redux(Matrix35(), LinearVectorizedTraversal, CompleteUnrolling));
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|
|
VERIFY(test_redux(Matrix57().template block < PacketSize == 1 ? 2 : PacketSize, 3 > (1, 0),
|
|
SliceVectorizedTraversal, CompleteUnrolling));
|
|
|
|
if (PacketSize > 1) {
|
|
VERIFY(test_redux(Matrix57().template block<PacketSize, 2>(1, 0), DefaultTraversal, CompleteUnrolling));
|
|
}
|
|
|
|
VERIFY((test_assign<
|
|
Map<Matrix<Scalar, internal::plain_enum_max(2, PacketSize), internal::plain_enum_max(2, PacketSize)>,
|
|
AlignedMax, InnerStride<3 * PacketSize> >,
|
|
Matrix<Scalar, internal::plain_enum_max(2, PacketSize), internal::plain_enum_max(2, PacketSize)> >(
|
|
DefaultTraversal, PacketSize > 4 ? InnerUnrolling : CompleteUnrolling)));
|
|
|
|
VERIFY((test_assign(Matrix57(), Matrix<Scalar, 5 * MinVSize, 3>() * Matrix<Scalar, 3, 7>(),
|
|
InnerVectorizedTraversal, InnerUnrolling + CompleteUnrolling)));
|
|
#endif
|
|
}
|
|
};
|
|
|
|
template <typename Scalar>
|
|
struct vectorization_logic_half<Scalar, false> {
|
|
static void run() {}
|
|
};
|
|
|
|
EIGEN_DECLARE_TEST(vectorization_logic) {
|
|
#ifdef EIGEN_VECTORIZE
|
|
|
|
CALL_SUBTEST(vectorization_logic<int>::run());
|
|
CALL_SUBTEST(vectorization_logic<float>::run());
|
|
CALL_SUBTEST(vectorization_logic<double>::run());
|
|
CALL_SUBTEST(vectorization_logic<std::complex<float> >::run());
|
|
CALL_SUBTEST(vectorization_logic<std::complex<double> >::run());
|
|
|
|
CALL_SUBTEST(vectorization_logic_half<int>::run());
|
|
CALL_SUBTEST(vectorization_logic_half<float>::run());
|
|
CALL_SUBTEST(vectorization_logic_half<double>::run());
|
|
CALL_SUBTEST(vectorization_logic_half<std::complex<float> >::run());
|
|
CALL_SUBTEST(vectorization_logic_half<std::complex<double> >::run());
|
|
|
|
if (internal::packet_traits<float>::Vectorizable) {
|
|
VERIFY(test_assign(Matrix<float, 3, 3>(), Matrix<float, 3, 3>() + Matrix<float, 3, 3>(),
|
|
internal::packet_traits<float>::Vectorizable && EIGEN_UNALIGNED_VECTORIZE
|
|
? LinearVectorizedTraversal
|
|
: LinearTraversal,
|
|
CompleteUnrolling));
|
|
|
|
VERIFY(test_redux(Matrix<float, 5, 2>(),
|
|
internal::packet_traits<float>::Vectorizable && EIGEN_UNALIGNED_VECTORIZE
|
|
? LinearVectorizedTraversal
|
|
: LinearTraversal,
|
|
CompleteUnrolling));
|
|
}
|
|
|
|
if (internal::packet_traits<double>::Vectorizable) {
|
|
VERIFY(test_assign(Matrix<double, 3, 3>(), Matrix<double, 3, 3>() + Matrix<double, 3, 3>(),
|
|
internal::packet_traits<double>::Vectorizable && EIGEN_UNALIGNED_VECTORIZE
|
|
? LinearVectorizedTraversal
|
|
: LinearTraversal,
|
|
CompleteUnrolling));
|
|
|
|
VERIFY(test_redux(Matrix<double, 7, 3>(),
|
|
internal::packet_traits<double>::Vectorizable && EIGEN_UNALIGNED_VECTORIZE
|
|
? LinearVectorizedTraversal
|
|
: LinearTraversal,
|
|
CompleteUnrolling));
|
|
}
|
|
#endif // EIGEN_VECTORIZE
|
|
}
|