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Get rid of call_dense_swap_loop

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This commit is contained in:
Gael Guennebaud 2013-12-02 14:44:13 +01:00
parent 626821b0e3
commit c6f7337032
3 changed files with 13 additions and 29 deletions
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2
Eigen/src/Core/AssignEvaluator.h
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@ -504,7 +504,7 @@ struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling>
// 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>
template<typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version = Specialized>
class generic_dense_assignment_kernel
{
protected:

31
Eigen/src/Core/Swap.h
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@ -139,15 +139,16 @@ template<typename ExpressionType> class SwapWrapper
// #endif
#ifdef EIGEN_TEST_EVALUATORS
#ifdef EIGEN_ENABLE_EVALUATORS
namespace internal {
// Overload default assignPacket behavior for swapping them
template<typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT>
class dense_swap_kernel : public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar> >
class generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, Specialized>
: public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, BuiltIn>
{
typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar> > Base;
typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, BuiltIn> Base;
typedef typename DstEvaluatorTypeT::PacketScalar PacketScalar;
using Base::m_dst;
using Base::m_src;
@ -157,9 +158,10 @@ public:
typedef typename Base::Scalar Scalar;
typedef typename Base::Index Index;
typedef typename Base::DstXprType DstXprType;
typedef swap_assign_op<Scalar> Functor;
dense_swap_kernel(DstEvaluatorTypeT &dst, const SrcEvaluatorTypeT &src, DstXprType& dstExpr)
: Base(dst, src, swap_assign_op<Scalar>(), dstExpr)
generic_dense_assignment_kernel(DstEvaluatorTypeT &dst, const SrcEvaluatorTypeT &src, const Functor &func, DstXprType& dstExpr)
: Base(dst, src, func, dstExpr)
{}
template<int StoreMode, int LoadMode>
@ -183,25 +185,6 @@ public:
assignPacket<StoreMode,LoadMode>(row, col);
}
};
template<typename DstXprType, typename SrcXprType>
void call_dense_swap_loop(const DstXprType& dst, const SrcXprType& src)
{
// TODO there is too much redundancy with call_dense_assignment_loop
eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
typedef dense_swap_kernel<DstEvaluatorType,SrcEvaluatorType> Kernel;
Kernel kernel(dstEvaluator, srcEvaluator, dst.const_cast_derived());
dense_assignment_loop<Kernel>::run(kernel);
}
} // namespace internal

9
test/evaluators.cpp
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@ -74,7 +74,8 @@ namespace Eigen {
template<typename DstXprType, typename SrcXprType>
void swap_using_evaluator(const DstXprType& dst, const SrcXprType& src)
{
call_dense_swap_loop(dst.const_cast_derived(), src.const_cast_derived());
typedef typename DstXprType::Scalar Scalar;
call_assignment(dst.const_cast_derived(), src.const_cast_derived(), internal::swap_assign_op<Scalar>());
}
}
@ -193,7 +194,7 @@ void test_evaluators()
VERIFY_IS_APPROX_EVALUATOR2(resXX, prod(mX4,m4X), mX4*m4X);
VERIFY_IS_APPROX_EVALUATOR2(resXX, prod(mXX,mXX), mXX*mXX);
}
#endif
{
ArrayXXf a(2,3);
ArrayXXf b(3,2);
@ -202,7 +203,7 @@ void test_evaluators()
// this does not work because Random is eval-before-nested:
// copy_using_evaluator(w, Vector2d::Random().transpose());
// test CwiseUnaryOp
VERIFY_IS_APPROX_EVALUATOR(v2, 3 * v);
VERIFY_IS_APPROX_EVALUATOR(w, (3 * v).transpose());
@ -405,7 +406,7 @@ void test_evaluators()
arr_ref.row(1) /= (arr_ref.row(2) + 1);
VERIFY_IS_APPROX(arr, arr_ref);
}
#endif
{
// test triangular shapes
MatrixXd A = MatrixXd::Random(6,6), B(6,6), C(6,6);