mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-16 22:59:39 +08:00
Re-enable vectorization of LinSpaced, plus some cleaning
This commit is contained in:
parent
f6f6f50272
commit
dd934ad057
@ -321,8 +321,8 @@ struct evaluator<CwiseNullaryOp<NullaryOp,PlainObjectType> >
|
||||
& ( HereditaryBits
|
||||
| (functor_has_linear_access<NullaryOp>::ret ? LinearAccessBit : 0)
|
||||
| (functor_traits<NullaryOp>::PacketAccess ? PacketAccessBit : 0)))
|
||||
| (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit), // FIXME EvalBeforeNestingBit should be needed anymore
|
||||
Alignment = 0 // FIXME alignment should not matter here, perhaps we could set it to AlignMax??
|
||||
| (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
|
||||
Alignment = AlignedMax
|
||||
};
|
||||
|
||||
EIGEN_DEVICE_FUNC explicit evaluator(const XprType& n)
|
||||
|
@ -160,7 +160,7 @@ template<> struct product_type_selector<Large,Large,Small> { enum
|
||||
namespace internal {
|
||||
|
||||
template<int Side, int StorageOrder, bool BlasCompatible>
|
||||
struct gemv_dense_sense_selector;
|
||||
struct gemv_dense_selector;
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
@ -204,19 +204,19 @@ struct gemv_static_vector_if<Scalar,Size,MaxSize,true>
|
||||
|
||||
// The vector is on the left => transposition
|
||||
template<int StorageOrder, bool BlasCompatible>
|
||||
struct gemv_dense_sense_selector<OnTheLeft,StorageOrder,BlasCompatible>
|
||||
struct gemv_dense_selector<OnTheLeft,StorageOrder,BlasCompatible>
|
||||
{
|
||||
template<typename Lhs, typename Rhs, typename Dest>
|
||||
static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
|
||||
{
|
||||
Transpose<Dest> destT(dest);
|
||||
enum { OtherStorageOrder = StorageOrder == RowMajor ? ColMajor : RowMajor };
|
||||
gemv_dense_sense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
|
||||
gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
|
||||
::run(rhs.transpose(), lhs.transpose(), destT, alpha);
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct gemv_dense_sense_selector<OnTheRight,ColMajor,true>
|
||||
template<> struct gemv_dense_selector<OnTheRight,ColMajor,true>
|
||||
{
|
||||
template<typename Lhs, typename Rhs, typename Dest>
|
||||
static inline void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
|
||||
@ -292,7 +292,7 @@ template<> struct gemv_dense_sense_selector<OnTheRight,ColMajor,true>
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct gemv_dense_sense_selector<OnTheRight,RowMajor,true>
|
||||
template<> struct gemv_dense_selector<OnTheRight,RowMajor,true>
|
||||
{
|
||||
template<typename Lhs, typename Rhs, typename Dest>
|
||||
static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
|
||||
@ -345,7 +345,7 @@ template<> struct gemv_dense_sense_selector<OnTheRight,RowMajor,true>
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct gemv_dense_sense_selector<OnTheRight,ColMajor,false>
|
||||
template<> struct gemv_dense_selector<OnTheRight,ColMajor,false>
|
||||
{
|
||||
template<typename Lhs, typename Rhs, typename Dest>
|
||||
static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
|
||||
@ -357,7 +357,7 @@ template<> struct gemv_dense_sense_selector<OnTheRight,ColMajor,false>
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct gemv_dense_sense_selector<OnTheRight,RowMajor,false>
|
||||
template<> struct gemv_dense_selector<OnTheRight,RowMajor,false>
|
||||
{
|
||||
template<typename Lhs, typename Rhs, typename Dest>
|
||||
static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
|
||||
|
@ -12,8 +12,6 @@
|
||||
|
||||
namespace Eigen {
|
||||
|
||||
// TODO move the general declaration in Core, and rename this file DenseInverseImpl.h, or something like this...
|
||||
|
||||
template<typename XprType,typename StorageKind> class InverseImpl;
|
||||
|
||||
namespace internal {
|
||||
|
@ -313,7 +313,7 @@ struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct>
|
||||
template<typename Dest>
|
||||
static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
|
||||
{
|
||||
internal::gemv_dense_sense_selector<Side,
|
||||
internal::gemv_dense_selector<Side,
|
||||
(int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
|
||||
bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
|
||||
>::run(lhs, rhs, dst, alpha);
|
||||
|
@ -26,7 +26,6 @@ struct scalar_constant_op {
|
||||
};
|
||||
template<typename Scalar>
|
||||
struct functor_traits<scalar_constant_op<Scalar> >
|
||||
// FIXME replace this packet test by a safe one
|
||||
{ enum { Cost = 1, PacketAccess = packet_traits<Scalar>::Vectorizable, IsRepeatable = true }; };
|
||||
|
||||
template<typename Scalar> struct scalar_identity_op {
|
||||
@ -135,14 +134,12 @@ template <typename Scalar, typename PacketType, bool RandomAccess> struct linspa
|
||||
// This proxy object handles the actual required temporaries, the different
|
||||
// implementations (random vs. sequential access) as well as the
|
||||
// correct piping to size 2/4 packet operations.
|
||||
// TODO find a way to make the packet type configurable
|
||||
const linspaced_op_impl<Scalar,PacketType,RandomAccess> impl;
|
||||
};
|
||||
|
||||
// all functors allow linear access, except scalar_identity_op. So we fix here a quick meta
|
||||
// to indicate whether a functor allows linear access, just always answering 'yes' except for
|
||||
// scalar_identity_op.
|
||||
// FIXME move this to functor_traits adding a functor_default
|
||||
template<typename Functor> struct functor_has_linear_access { enum { ret = 1 }; };
|
||||
template<typename Scalar> struct functor_has_linear_access<scalar_identity_op<Scalar> > { enum { ret = 0 }; };
|
||||
|
||||
|
@ -123,6 +123,8 @@ void test_nullary()
|
||||
CALL_SUBTEST_6( testVectorType(Vector3d()) );
|
||||
CALL_SUBTEST_7( testVectorType(VectorXf(internal::random<int>(1,300))) );
|
||||
CALL_SUBTEST_8( testVectorType(Vector3f()) );
|
||||
CALL_SUBTEST_8( testVectorType(Vector4f()) );
|
||||
CALL_SUBTEST_8( testVectorType(Matrix<float,8,1>()) );
|
||||
CALL_SUBTEST_8( testVectorType(Matrix<float,1,1>()) );
|
||||
}
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user