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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
finish making use of CoeffReadCost and the new XprCopy everywhere
seems appropriate to me.
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@@ -87,15 +87,19 @@ struct ei_traits<PartialRedux<Direction, BinaryOp, MatrixType> >
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typedef typename ei_result_of<
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BinaryOp(typename MatrixType::Scalar)
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>::type Scalar;
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typedef typename ei_xpr_copy<MatrixType>::type MatrixTypeXprCopy;
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typedef typename ei_unref<MatrixTypeXprCopy>::type _MatrixTypeXprCopy;
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enum {
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RowsAtCompileTime = Direction==Vertical ? 1 : MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::ColsAtCompileTime,
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MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
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MaxRowsAtCompileTime = Direction==Vertical ? 1 : MatrixType::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::MaxColsAtCompileTime,
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Flags = (RowsAtCompileTime == Dynamic || ColsAtCompileTime == Dynamic)
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? (unsigned int)MatrixType::Flags
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: (unsigned int)MatrixType::Flags & ~LargeBit,
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CoeffReadCost = 1 //FIXME -- unimplemented!
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? (unsigned int)_MatrixTypeXprCopy::Flags
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: (unsigned int)_MatrixTypeXprCopy::Flags & ~LargeBit,
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TraversalSize = Direction==Vertical ? RowsAtCompileTime : ColsAtCompileTime,
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CoeffReadCost = TraversalSize * _MatrixTypeXprCopy::CoeffReadCost
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+ (TraversalSize - 1) * ei_functor_traits<BinaryOp>::Cost
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};
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};
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@@ -106,6 +110,8 @@ class PartialRedux : ei_no_assignment_operator,
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(PartialRedux)
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typedef typename ei_traits<PartialRedux>::MatrixTypeXprCopy MatrixTypeXprCopy;
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typedef typename ei_traits<PartialRedux>::_MatrixTypeXprCopy _MatrixTypeXprCopy;
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PartialRedux(const MatrixType& mat, const BinaryOp& func = BinaryOp())
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: m_matrix(mat), m_functor(func) {}
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@@ -124,7 +130,7 @@ class PartialRedux : ei_no_assignment_operator,
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}
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protected:
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const typename MatrixType::XprCopy m_matrix;
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const MatrixTypeXprCopy m_matrix;
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const BinaryOp m_functor;
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};
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@@ -171,10 +177,13 @@ template<typename BinaryOp>
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typename ei_result_of<BinaryOp(typename ei_traits<Derived>::Scalar)>::type
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MatrixBase<Derived>::redux(const BinaryOp& func) const
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{
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if(SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT)
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const bool unroll = SizeAtCompileTime * CoeffReadCost
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+ (SizeAtCompileTime-1) * ei_functor_traits<BinaryOp>::Cost
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<= EIGEN_UNROLLING_LIMIT;
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if(unroll)
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return ei_redux_unroller<BinaryOp, Derived, 0,
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(SizeAtCompileTime>0 && SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT) ?
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SizeAtCompileTime : Dynamic>::run(derived(), func);
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unroll ? SizeAtCompileTime : Dynamic>
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::run(derived(), func);
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else
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{
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Scalar res;
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@@ -291,10 +300,12 @@ struct ei_any_unroller<Derived, Dynamic>
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template<typename Derived>
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bool MatrixBase<Derived>::all(void) const
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{
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if(SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT)
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const bool unroll = SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost)
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<= EIGEN_UNROLLING_LIMIT;
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if(unroll)
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return ei_all_unroller<Derived,
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(SizeAtCompileTime>0 && SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT) ?
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SizeAtCompileTime : Dynamic>::run(derived());
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unroll ? SizeAtCompileTime : Dynamic
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>::run(derived());
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else
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{
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for(int j = 0; j < cols(); j++)
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@@ -311,10 +322,12 @@ bool MatrixBase<Derived>::all(void) const
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template<typename Derived>
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bool MatrixBase<Derived>::any(void) const
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{
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if(SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT)
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const bool unroll = SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost)
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<= EIGEN_UNROLLING_LIMIT;
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if(unroll)
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return ei_any_unroller<Derived,
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(SizeAtCompileTime>0 && SizeAtCompileTime <= EIGEN_UNROLLING_LIMIT) ?
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SizeAtCompileTime : Dynamic>::run(derived());
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unroll ? SizeAtCompileTime : Dynamic
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>::run(derived());
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else
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{
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for(int j = 0; j < cols(); j++)
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