mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-16 14:49:39 +08:00
Make assignment constexpr
This commit is contained in:
Tyler Veness
Rasmus Munk Larsen
parent
4dda5b927a
commit
0ae7b59018
@ -191,7 +191,7 @@ struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling {
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static constexpr int Outer = Index_ / Kernel::AssignmentTraits::InnerSizeAtCompileTime;
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static constexpr int Inner = Index_ % Kernel::AssignmentTraits::InnerSizeAtCompileTime;
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel) {
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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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@ -204,7 +204,7 @@ struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Stop, Sto
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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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel, Index outer) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel, Index outer) {
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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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@ -212,7 +212,7 @@ struct copy_using_evaluator_DefaultTraversal_InnerUnrolling {
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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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) {}
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel&, Index) {}
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};
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/***********************
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@ -221,7 +221,7 @@ struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Stop, Stop>
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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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel) {
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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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@ -229,7 +229,7 @@ struct copy_using_evaluator_LinearTraversal_CompleteUnrolling {
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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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) {}
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel&) {}
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};
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/**************************
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@ -270,7 +270,7 @@ struct copy_using_evaluator_innervec_InnerUnrolling {
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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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) {}
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel&, Index) {}
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};
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/***************************************************************************
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@ -281,7 +281,21 @@ struct copy_using_evaluator_innervec_InnerUnrolling<Kernel, Stop, Stop, SrcAlign
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template <typename Kernel, 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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struct dense_assignment_loop_impl;
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template <typename Kernel, 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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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel) {
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#ifdef __cpp_lib_is_constant_evaluated
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if (internal::is_constant_evaluated())
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dense_assignment_loop_impl<Kernel, Traversal == AllAtOnceTraversal ? AllAtOnceTraversal : DefaultTraversal,
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NoUnrolling>::run(kernel);
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else
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#endif
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dense_assignment_loop_impl<Kernel, Traversal, Unrolling>::run(kernel);
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}
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};
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/************************
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***** Special Cases *****
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@ -289,7 +303,7 @@ struct dense_assignment_loop;
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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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struct dense_assignment_loop_impl<Kernel, AllAtOnceTraversal, Unrolling> {
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static constexpr int SizeAtCompileTime = Kernel::AssignmentTraits::SizeAtCompileTime;
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EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE EIGEN_CONSTEXPR run(Kernel& /*kernel*/) {
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@ -302,8 +316,8 @@ struct dense_assignment_loop<Kernel, AllAtOnceTraversal, Unrolling> {
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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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EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel& kernel) {
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struct dense_assignment_loop_impl<Kernel, DefaultTraversal, NoUnrolling> {
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EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE constexpr run(Kernel& kernel) {
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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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@ -313,19 +327,19 @@ struct dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling> {
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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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struct dense_assignment_loop_impl<Kernel, DefaultTraversal, CompleteUnrolling> {
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static constexpr int SizeAtCompileTime = Kernel::AssignmentTraits::SizeAtCompileTime;
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel) {
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copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, 0, 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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struct dense_assignment_loop_impl<Kernel, DefaultTraversal, InnerUnrolling> {
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static constexpr int InnerSizeAtCompileTime = Kernel::AssignmentTraits::InnerSizeAtCompileTime;
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(Kernel& kernel) {
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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, InnerSizeAtCompileTime>::run(kernel, outer);
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@ -382,7 +396,7 @@ struct copy_using_evaluator_linearvec_CompleteUnrolling<Kernel, Stop, Stop> {
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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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struct dense_assignment_loop_impl<Kernel, LinearVectorizedTraversal, NoUnrolling> {
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using Scalar = typename Kernel::Scalar;
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using PacketType = typename Kernel::PacketType;
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static constexpr int PacketSize = unpacket_traits<PacketType>::size;
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@ -407,7 +421,7 @@ struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, NoUnrolling> {
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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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struct dense_assignment_loop_impl<Kernel, LinearVectorizedTraversal, CompleteUnrolling> {
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using PacketType = typename Kernel::PacketType;
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static constexpr int PacketSize = unpacket_traits<PacketType>::size;
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static constexpr int Size = Kernel::AssignmentTraits::SizeAtCompileTime;
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@ -424,7 +438,7 @@ struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, CompleteUnrollin
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**************************/
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, NoUnrolling> {
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struct dense_assignment_loop_impl<Kernel, InnerVectorizedTraversal, NoUnrolling> {
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using PacketType = typename Kernel::PacketType;
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static constexpr int PacketSize = unpacket_traits<PacketType>::size;
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static constexpr int SrcAlignment = Kernel::AssignmentTraits::JointAlignment;
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@ -440,7 +454,7 @@ struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, NoUnrolling> {
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};
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, CompleteUnrolling> {
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struct dense_assignment_loop_impl<Kernel, InnerVectorizedTraversal, CompleteUnrolling> {
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static constexpr int SizeAtCompileTime = Kernel::AssignmentTraits::SizeAtCompileTime;
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel) {
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@ -449,7 +463,7 @@ struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, CompleteUnrolling
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};
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, InnerUnrolling> {
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struct dense_assignment_loop_impl<Kernel, InnerVectorizedTraversal, InnerUnrolling> {
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static constexpr int InnerSize = Kernel::AssignmentTraits::InnerSizeAtCompileTime;
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static constexpr int SrcAlignment = Kernel::AssignmentTraits::SrcAlignment;
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static constexpr int DstAlignment = Kernel::AssignmentTraits::DstAlignment;
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@ -467,7 +481,7 @@ struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, InnerUnrolling> {
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***********************/
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, LinearTraversal, NoUnrolling> {
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struct dense_assignment_loop_impl<Kernel, LinearTraversal, NoUnrolling> {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) {
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const Index size = kernel.size();
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for (Index i = 0; i < size; ++i) kernel.assignCoeff(i);
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@ -475,7 +489,7 @@ struct dense_assignment_loop<Kernel, LinearTraversal, NoUnrolling> {
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};
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, LinearTraversal, CompleteUnrolling> {
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struct dense_assignment_loop_impl<Kernel, LinearTraversal, CompleteUnrolling> {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void run(Kernel& kernel) {
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copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, 0, Kernel::AssignmentTraits::SizeAtCompileTime>::run(
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kernel);
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@ -487,7 +501,7 @@ struct dense_assignment_loop<Kernel, LinearTraversal, CompleteUnrolling> {
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***************************/
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling> {
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struct dense_assignment_loop_impl<Kernel, SliceVectorizedTraversal, NoUnrolling> {
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using Scalar = typename Kernel::Scalar;
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using PacketType = typename Kernel::PacketType;
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static constexpr int PacketSize = unpacket_traits<PacketType>::size;
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@ -528,7 +542,7 @@ struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling> {
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#if EIGEN_UNALIGNED_VECTORIZE
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template <typename Kernel>
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struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, InnerUnrolling> {
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struct dense_assignment_loop_impl<Kernel, SliceVectorizedTraversal, InnerUnrolling> {
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using PacketType = typename Kernel::PacketType;
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static constexpr int PacketSize = unpacket_traits<PacketType>::size;
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static constexpr int InnerSize = Kernel::AssignmentTraits::InnerSizeAtCompileTime;
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@ -566,9 +580,10 @@ class generic_dense_assignment_kernel {
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typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor> AssignmentTraits;
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typedef typename AssignmentTraits::PacketType PacketType;
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE generic_dense_assignment_kernel(DstEvaluatorType& dst,
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const SrcEvaluatorType& src,
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const Functor& func, DstXprType& dstExpr)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr generic_dense_assignment_kernel(DstEvaluatorType& dst,
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const SrcEvaluatorType& src,
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const Functor& func,
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DstXprType& dstExpr)
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: m_dst(dst), m_src(src), m_functor(func), m_dstExpr(dstExpr) {
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#ifdef EIGEN_DEBUG_ASSIGN
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AssignmentTraits::debug();
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@ -586,7 +601,7 @@ class generic_dense_assignment_kernel {
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EIGEN_DEVICE_FUNC const SrcEvaluatorType& srcEvaluator() const EIGEN_NOEXCEPT { return m_src; }
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/// Assign src(row,col) to dst(row,col) through the assignment functor.
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index row, Index col) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void assignCoeff(Index row, Index col) {
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m_functor.assignCoeff(m_dst.coeffRef(row, col), m_src.coeff(row, col));
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}
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@ -596,7 +611,7 @@ class generic_dense_assignment_kernel {
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}
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/// \sa assignCoeff(Index,Index)
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeffByOuterInner(Index outer, Index inner) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void assignCoeffByOuterInner(Index outer, Index inner) {
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Index row = rowIndexByOuterInner(outer, inner);
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Index col = colIndexByOuterInner(outer, inner);
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assignCoeff(row, col);
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@ -620,7 +635,7 @@ class generic_dense_assignment_kernel {
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assignPacket<StoreMode, LoadMode, Packet>(row, col);
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}
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr Index rowIndexByOuterInner(Index outer, Index inner) {
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typedef typename DstEvaluatorType::ExpressionTraits Traits;
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return int(Traits::RowsAtCompileTime) == 1 ? 0
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: int(Traits::ColsAtCompileTime) == 1 ? inner
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@ -628,7 +643,7 @@ class generic_dense_assignment_kernel {
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: inner;
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}
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr Index colIndexByOuterInner(Index outer, Index inner) {
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typedef typename DstEvaluatorType::ExpressionTraits Traits;
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return int(Traits::ColsAtCompileTime) == 1 ? 0
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: int(Traits::RowsAtCompileTime) == 1 ? inner
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@ -672,16 +687,16 @@ class restricted_packet_dense_assignment_kernel
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***************************************************************************/
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template <typename DstXprType, typename SrcXprType, typename Functor>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize_if_allowed(DstXprType& dst, const SrcXprType& src,
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const Functor& /*func*/) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void resize_if_allowed(DstXprType& dst, const SrcXprType& src,
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const Functor& /*func*/) {
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EIGEN_ONLY_USED_FOR_DEBUG(dst);
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EIGEN_ONLY_USED_FOR_DEBUG(src);
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eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
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}
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template <typename DstXprType, typename SrcXprType, typename T1, typename T2>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize_if_allowed(DstXprType& dst, const SrcXprType& src,
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const internal::assign_op<T1, T2>& /*func*/) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void resize_if_allowed(DstXprType& dst, const SrcXprType& src,
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const internal::assign_op<T1, T2>& /*func*/) {
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Index dstRows = src.rows();
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Index dstCols = src.cols();
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if (((dst.rows() != dstRows) || (dst.cols() != dstCols))) dst.resize(dstRows, dstCols);
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@ -750,7 +765,7 @@ struct Assignment;
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// not has to bother about these annoying details.
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template <typename Dst, typename Src>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment(Dst& dst, const Src& src) {
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void call_assignment(Dst& dst, const Src& src) {
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call_assignment(dst, src, internal::assign_op<typename Dst::Scalar, typename Src::Scalar>());
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}
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template <typename Dst, typename Src>
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@ -767,7 +782,7 @@ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EIGEN_CONSTEXPR void call_assignment(
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}
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template <typename Dst, typename Src, typename Func>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_assignment(
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void call_assignment(
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Dst& dst, const Src& src, const Func& func, std::enable_if_t<!evaluator_assume_aliasing<Src>::value, void*> = 0) {
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call_assignment_no_alias(dst, src, func);
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}
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@ -851,9 +866,12 @@ EIGEN_DEVICE_FUNC void check_for_aliasing(const Dst& dst, const Src& src);
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// both partial specialization+SFINAE without ambiguous specialization
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template <typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
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struct Assignment<DstXprType, SrcXprType, Functor, Dense2Dense, Weak> {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(DstXprType& dst, const SrcXprType& src, const Functor& func) {
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EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE constexpr void run(DstXprType& dst, const SrcXprType& src,
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const Functor& func) {
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#ifndef EIGEN_NO_DEBUG
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internal::check_for_aliasing(dst, src);
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if (!internal::is_constant_evaluated()) {
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internal::check_for_aliasing(dst, src);
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}
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#endif
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call_dense_assignment_loop(dst, src, func);
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@ -50,7 +50,7 @@ struct EigenBase {
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/** \returns a const reference to the derived object */
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EIGEN_DEVICE_FUNC constexpr const Derived& derived() const { return *static_cast<const Derived*>(this); }
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EIGEN_DEVICE_FUNC inline Derived& const_cast_derived() const {
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EIGEN_DEVICE_FUNC inline constexpr Derived& const_cast_derived() const {
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return *static_cast<Derived*>(const_cast<EigenBase*>(this));
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}
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EIGEN_DEVICE_FUNC inline const Derived& const_derived() const { return *static_cast<const Derived*>(this); }
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@ -60,12 +60,12 @@ struct eigen_fill_impl<Xpr, /*use_fill*/ false> {
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using Func = scalar_constant_op<Scalar>;
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using PlainObject = typename Xpr::PlainObject;
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using Constant = typename PlainObject::ConstantReturnType;
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst, const Scalar& val) {
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void run(Xpr& dst, const Scalar& val) {
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const Constant src(dst.rows(), dst.cols(), val);
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run(dst, src);
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}
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template <typename SrcXpr>
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst, const SrcXpr& src) {
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void run(Xpr& dst, const SrcXpr& src) {
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call_dense_assignment_loop(dst, src, assign_op<Scalar, Scalar>());
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}
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};
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@ -100,12 +100,12 @@ struct eigen_zero_impl<Xpr, /*use_memset*/ false> {
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using Scalar = typename Xpr::Scalar;
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using PlainObject = typename Xpr::PlainObject;
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using Zero = typename PlainObject::ZeroReturnType;
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst) {
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void run(Xpr& dst) {
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const Zero src(dst.rows(), dst.cols());
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run(dst, src);
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}
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template <typename SrcXpr>
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void run(Xpr& dst, const SrcXpr& src) {
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void run(Xpr& dst, const SrcXpr& src) {
|
||||
call_dense_assignment_loop(dst, src, assign_op<Scalar, Scalar>());
|
||||
}
|
||||
};
|
||||
|
||||
@ -23,7 +23,7 @@ namespace internal {
|
||||
*/
|
||||
template <typename DstScalar, typename SrcScalar>
|
||||
struct assign_op {
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a = b; }
|
||||
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE constexpr void assignCoeff(DstScalar& a, const SrcScalar& b) const { a = b; }
|
||||
|
||||
template <int Alignment, typename Packet>
|
||||
EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const {
|
||||
|
||||
@ -10,6 +10,13 @@
|
||||
#define EIGEN_TESTING_CONSTEXPR
|
||||
#include "main.h"
|
||||
|
||||
template <typename Scalar, int Rows>
|
||||
struct ConstexprTest {
|
||||
constexpr ConstexprTest(const Matrix<Scalar, Rows, Rows>& B) { A = B; }
|
||||
|
||||
Matrix<Scalar, Rows, Rows> A;
|
||||
};
|
||||
|
||||
EIGEN_DECLARE_TEST(constexpr) {
|
||||
// Clang accepts (some of) this code when using C++14/C++17, but GCC does not like
|
||||
// the fact that `T array[Size]` inside Eigen::internal::plain_array is not initialized
|
||||
@ -33,6 +40,18 @@ EIGEN_DECLARE_TEST(constexpr) {
|
||||
VERIFY_IS_EQUAL(vec.size(), 3);
|
||||
static_assert(vec.coeff(0, 1) == 2);
|
||||
|
||||
// Check assignment. A wrapper struct is used to avoid copy ellision.
|
||||
constexpr ConstexprTest obj1(Matrix2d({{1, 2}, {3, 4}}));
|
||||
VERIFY_IS_EQUAL(obj1.A.size(), 4);
|
||||
static_assert(obj1.A(0, 0) == 1);
|
||||
static_assert(obj1.A(0) == 1);
|
||||
static_assert(obj1.A.coeff(0, 1) == 2);
|
||||
constexpr ConstexprTest obj2(Matrix3d({{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}));
|
||||
VERIFY_IS_EQUAL(obj2.A.size(), 9);
|
||||
static_assert(obj2.A(0, 0) == 1);
|
||||
static_assert(obj2.A(0) == 1);
|
||||
static_assert(obj2.A.coeff(0, 1) == 2);
|
||||
|
||||
// Also check dynamic size arrays/matrices with fixed-size storage (currently
|
||||
// only works if all elements are initialized, since otherwise the compiler
|
||||
// complains about uninitialized trailing elements.
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user