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Revert "Revert "Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), innerStride(), outerStride(), and size()""

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This reverts commit 5f0b4a4010.
This commit is contained in:
Steve Bronder
2021-03-08 12:39:11 -05:00
parent 5521c65afb
commit e7b8643d70
60 changed files with 852 additions and 842 deletions
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26
Eigen/src/Core/VectorwiseOp.h
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@@ -65,10 +65,10 @@ class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<Matri
explicit PartialReduxExpr(const MatrixType& mat, const MemberOp& func = MemberOp())
: m_matrix(mat), m_functor(func) {}
EIGEN_DEVICE_FUNC
Index rows() const { return (Direction==Vertical ? 1 : m_matrix.rows()); }
EIGEN_DEVICE_FUNC
Index cols() const { return (Direction==Horizontal ? 1 : m_matrix.cols()); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
Index rows() const EIGEN_NOEXCEPT { return (Direction==Vertical ? 1 : m_matrix.rows()); }
EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
Index cols() const EIGEN_NOEXCEPT { return (Direction==Horizontal ? 1 : m_matrix.cols()); }
EIGEN_DEVICE_FUNC
typename MatrixType::Nested nestedExpression() const { return m_matrix; }
@@ -134,7 +134,7 @@ struct member_redux {
typedef typename result_of<
BinaryOp(const Scalar&,const Scalar&)
>::type result_type;
enum { Vectorizable = functor_traits<BinaryOp>::PacketAccess };
template<int Size> struct Cost { enum { value = (Size-1) * functor_traits<BinaryOp>::Cost }; };
EIGEN_DEVICE_FUNC explicit member_redux(const BinaryOp func) : m_functor(func) {}
@@ -162,17 +162,17 @@ struct member_redux {
* where `foo` is any method of `VectorwiseOp`. This expression is equivalent to applying `foo()` to each
* column of `A` and then re-assemble the outputs in a matrix expression:
* \code [A.col(0).foo(), A.col(1).foo(), ..., A.col(A.cols()-1).foo()] \endcode
*
*
* Example: \include MatrixBase_colwise.cpp
* Output: \verbinclude MatrixBase_colwise.out
*
* The begin() and end() methods are obviously exceptions to the previous rule as they
* return STL-compatible begin/end iterators to the rows or columns of the nested expression.
* Typical use cases include for-range-loop and calls to STL algorithms:
*
*
* Example: \include MatrixBase_colwise_iterator_cxx11.cpp
* Output: \verbinclude MatrixBase_colwise_iterator_cxx11.out
*
*
* For a partial reduction on an empty input, some rules apply.
* For the sake of clarity, let's consider a vertical reduction:
* - If the number of columns is zero, then a 1x0 row-major vector expression is returned.
@@ -180,7 +180,7 @@ struct member_redux {
* - a row vector of zeros is returned for sum-like reductions (sum, squaredNorm, norm, etc.)
* - a row vector of ones is returned for a product reduction (e.g., <code>MatrixXd(n,0).colwise().prod()</code>)
* - an assert is triggered for all other reductions (minCoeff,maxCoeff,redux(bin_op))
*
*
* \sa DenseBase::colwise(), DenseBase::rowwise(), class PartialReduxExpr
*/
template<typename ExpressionType, int Direction> class VectorwiseOp
@@ -216,7 +216,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
};
protected:
template<typename OtherDerived> struct ExtendedType {
typedef Replicate<OtherDerived,
isVertical ? 1 : ExpressionType::RowsAtCompileTime,
@@ -328,7 +328,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
*
* \warning the size along the reduction direction must be strictly positive,
* otherwise an assertion is triggered.
*
*
* \sa class VectorwiseOp, DenseBase::colwise(), DenseBase::rowwise()
*/
template<typename BinaryOp>
@@ -365,7 +365,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
*
* \warning the size along the reduction direction must be strictly positive,
* otherwise an assertion is triggered.
*
*
* \warning the result is undefined if \c *this contains NaN.
*
* Example: \include PartialRedux_minCoeff.cpp
@@ -384,7 +384,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
*
* \warning the size along the reduction direction must be strictly positive,
* otherwise an assertion is triggered.
*
*
* \warning the result is undefined if \c *this contains NaN.
*
* Example: \include PartialRedux_maxCoeff.cpp