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Merged eigen/eigen into default

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This commit is contained in:
Benoit Steiner 2016-11-30 20:16:17 -08:00
commit fd1dc3363e
6 changed files with 26 additions and 11 deletions
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5
Eigen/src/Core/GeneralProduct.h
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@ -25,7 +25,8 @@ template<int Rows, int Cols, int Depth> struct product_type_selector;
template<int Size, int MaxSize> struct product_size_category
{
enum { is_large = MaxSize == Dynamic ||
Size >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD,
Size >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD ||
(Size==Dynamic && MaxSize>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD),
value = is_large ? Large
: Size == 1 ? 1
: Small
@ -329,6 +330,7 @@ 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)
{
EIGEN_STATIC_ASSERT((!nested_eval<Lhs,1>::Evaluate),EIGEN_INTERNAL_COMPILATION_ERROR_OR_YOU_MADE_A_PROGRAMMING_MISTAKE);
// TODO if rhs is large enough it might be beneficial to make sure that dest is sequentially stored in memory, otherwise use a temp
typename nested_eval<Rhs,1>::type actual_rhs(rhs);
const Index size = rhs.rows();
@ -342,6 +344,7 @@ 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)
{
EIGEN_STATIC_ASSERT((!nested_eval<Lhs,1>::Evaluate),EIGEN_INTERNAL_COMPILATION_ERROR_OR_YOU_MADE_A_PROGRAMMING_MISTAKE);
typename nested_eval<Rhs,Lhs::RowsAtCompileTime>::type actual_rhs(rhs);
const Index rows = dest.rows();
for(Index i=0; i<rows; ++i)

9
Eigen/src/Core/ProductEvaluators.h
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@ -366,17 +366,22 @@ template<typename Lhs, typename Rhs>
struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct>
: generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct> >
{
typedef typename nested_eval<Lhs,1>::type LhsNested;
typedef typename nested_eval<Rhs,1>::type RhsNested;
typedef typename Product<Lhs,Rhs>::Scalar Scalar;
enum { Side = Lhs::IsVectorAtCompileTime ? OnTheLeft : OnTheRight };
typedef typename internal::conditional<int(Side)==OnTheRight,Lhs,Rhs>::type MatrixType;
typedef typename internal::remove_all<typename internal::conditional<int(Side)==OnTheRight,LhsNested,RhsNested>::type>::type MatrixType;
template<typename Dest>
static EIGEN_STRONG_INLINE void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
{
LhsNested actual_lhs(lhs);
RhsNested actual_rhs(rhs);
internal::gemv_dense_selector<Side,
(int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
>::run(lhs, rhs, dst, alpha);
>::run(actual_lhs, actual_rhs, dst, alpha);
}
};

7
Eigen/src/Core/functors/NullaryFunctors.h
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@ -173,6 +173,13 @@ template<typename Scalar, typename PacketType,typename IndexType>
struct has_unary_operator<linspaced_op<Scalar,PacketType>,IndexType> { enum { value = 1}; };
template<typename Scalar, typename PacketType,typename IndexType>
struct has_binary_operator<linspaced_op<Scalar,PacketType>,IndexType> { enum { value = 0}; };
template<typename Scalar,typename IndexType>
struct has_nullary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 1}; };
template<typename Scalar,typename IndexType>
struct has_unary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 0}; };
template<typename Scalar,typename IndexType>
struct has_binary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 0}; };
#endif
} // end namespace internal

10
Eigen/src/Core/util/XprHelper.h
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@ -445,15 +445,11 @@ template<typename T, int n, typename PlainObject = typename plain_object_eval<T>
// Another solution could be to count the number of temps?
NAsInteger = n == Dynamic ? HugeCost : n,
CostEval = (NAsInteger+1) * ScalarReadCost + CoeffReadCost,
CostNoEval = NAsInteger * CoeffReadCost
CostNoEval = NAsInteger * CoeffReadCost,
Evaluate = (int(evaluator<T>::Flags) & EvalBeforeNestingBit) || (int(CostEval) < int(CostNoEval))
};
typedef typename conditional<
( (int(evaluator<T>::Flags) & EvalBeforeNestingBit) ||
(int(CostEval) < int(CostNoEval)) ),
PlainObject,
typename ref_selector<T>::type
>::type type;
typedef typename conditional<Evaluate, PlainObject, typename ref_selector<T>::type>::type type;
};
template<typename T>

4
test/product_notemporary.cpp
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@ -136,6 +136,10 @@ template<typename MatrixType> void product_notemporary(const MatrixType& m)
VERIFY_EVALUATION_COUNT( rm3.noalias() -= (cv1) * (rv1 * m1), 1 );
VERIFY_EVALUATION_COUNT( rm3.noalias() = (m1*cv1) * (rv1 * m1), 2 );
VERIFY_EVALUATION_COUNT( rm3.noalias() += (m1*cv1) * (rv1 * m1), 2 );
// Check nested products
VERIFY_EVALUATION_COUNT( cvres.noalias() = m1.adjoint() * m1 * cv1, 1 );
VERIFY_EVALUATION_COUNT( rvres.noalias() = rv1 * (m1 * m2.adjoint()), 1 );
}
void test_product_notemporary()

2
unsupported/test/cxx11_tensor_fixed_size.cpp
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@ -21,7 +21,7 @@ static void test_0d()
TensorFixedSize<float, Sizes<>, RowMajor> scalar2;
VERIFY_IS_EQUAL(scalar1.rank(), 0);
VERIFY_IS_EQUAL(scalar1.size(), 1);
VERIFY_IS_EQUAL(array_prod(scalar1.dimensions()), 1);
VERIFY_IS_EQUAL(internal::array_prod(scalar1.dimensions()), 1);
scalar1() = 7.0;
scalar2() = 13.0;