diff options
Diffstat (limited to 'extern/Eigen3/Eigen/src/Core/DenseBase.h')
-rw-r--r-- | extern/Eigen3/Eigen/src/Core/DenseBase.h | 388 |
1 files changed, 239 insertions, 149 deletions
diff --git a/extern/Eigen3/Eigen/src/Core/DenseBase.h b/extern/Eigen3/Eigen/src/Core/DenseBase.h index 4b371b075b8..90066ae73fd 100644 --- a/extern/Eigen3/Eigen/src/Core/DenseBase.h +++ b/extern/Eigen3/Eigen/src/Core/DenseBase.h @@ -34,37 +34,45 @@ static inline void check_DenseIndex_is_signed() { * \tparam Derived is the derived type, e.g., a matrix type or an expression. * * This class can be extended with the help of the plugin mechanism described on the page - * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN. + * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN. * - * \sa \ref TopicClassHierarchy + * \sa \blank \ref TopicClassHierarchy */ template<typename Derived> class DenseBase #ifndef EIGEN_PARSED_BY_DOXYGEN - : public internal::special_scalar_op_base<Derived, typename internal::traits<Derived>::Scalar, - typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, - DenseCoeffsBase<Derived> > -#else : public DenseCoeffsBase<Derived> +#else + : public DenseCoeffsBase<Derived,DirectWriteAccessors> #endif // not EIGEN_PARSED_BY_DOXYGEN { public: - class InnerIterator; + /** Inner iterator type to iterate over the coefficients of a row or column. + * \sa class InnerIterator + */ + typedef Eigen::InnerIterator<Derived> InnerIterator; typedef typename internal::traits<Derived>::StorageKind StorageKind; - /** \brief The type of indices - * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE. - * \sa \ref TopicPreprocessorDirectives. - */ - typedef typename internal::traits<Derived>::Index Index; + /** + * \brief The type used to store indices + * \details This typedef is relevant for types that store multiple indices such as + * PermutationMatrix or Transpositions, otherwise it defaults to Eigen::Index + * \sa \blank \ref TopicPreprocessorDirectives, Eigen::Index, SparseMatrixBase. + */ + typedef typename internal::traits<Derived>::StorageIndex StorageIndex; + /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. */ typedef typename internal::traits<Derived>::Scalar Scalar; - typedef typename internal::packet_traits<Scalar>::type PacketScalar; + + /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. + * + * It is an alias for the Scalar type */ + typedef Scalar value_type; + typedef typename NumTraits<Scalar>::Real RealScalar; - typedef internal::special_scalar_op_base<Derived,Scalar,RealScalar, DenseCoeffsBase<Derived> > Base; + typedef DenseCoeffsBase<Derived> Base; - using Base::operator*; using Base::derived; using Base::const_cast_derived; using Base::rows; @@ -74,16 +82,6 @@ template<typename Derived> class DenseBase using Base::colIndexByOuterInner; using Base::coeff; using Base::coeffByOuterInner; - using Base::packet; - using Base::packetByOuterInner; - using Base::writePacket; - using Base::writePacketByOuterInner; - using Base::coeffRef; - using Base::coeffRefByOuterInner; - using Base::copyCoeff; - using Base::copyCoeffByOuterInner; - using Base::copyPacket; - using Base::copyPacketByOuterInner; using Base::operator(); using Base::operator[]; using Base::x; @@ -169,19 +167,46 @@ template<typename Derived> class DenseBase InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime) : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime), - CoeffReadCost = internal::traits<Derived>::CoeffReadCost, - /**< This is a rough measure of how expensive it is to read one coefficient from - * this expression. - */ - InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret, OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret }; + + typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar; - enum { ThisConstantIsPrivateInPlainObjectBase }; + enum { IsPlainObjectBase = 0 }; + + /** The plain matrix type corresponding to this expression. + * \sa PlainObject */ + typedef Matrix<typename internal::traits<Derived>::Scalar, + internal::traits<Derived>::RowsAtCompileTime, + internal::traits<Derived>::ColsAtCompileTime, + AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor), + internal::traits<Derived>::MaxRowsAtCompileTime, + internal::traits<Derived>::MaxColsAtCompileTime + > PlainMatrix; + + /** The plain array type corresponding to this expression. + * \sa PlainObject */ + typedef Array<typename internal::traits<Derived>::Scalar, + internal::traits<Derived>::RowsAtCompileTime, + internal::traits<Derived>::ColsAtCompileTime, + AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor), + internal::traits<Derived>::MaxRowsAtCompileTime, + internal::traits<Derived>::MaxColsAtCompileTime + > PlainArray; + + /** \brief The plain matrix or array type corresponding to this expression. + * + * This is not necessarily exactly the return type of eval(). In the case of plain matrices, + * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed + * that the return type of eval() is either PlainObject or const PlainObject&. + */ + typedef typename internal::conditional<internal::is_same<typename internal::traits<Derived>::XprKind,MatrixXpr >::value, + PlainMatrix, PlainArray>::type PlainObject; /** \returns the number of nonzero coefficients which is in practice the number * of stored coefficients. */ + EIGEN_DEVICE_FUNC inline Index nonZeros() const { return size(); } /** \returns the outer size. @@ -189,6 +214,7 @@ template<typename Derived> class DenseBase * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a * column-major matrix, and the number of rows for a row-major matrix. */ + EIGEN_DEVICE_FUNC Index outerSize() const { return IsVectorAtCompileTime ? 1 @@ -200,6 +226,7 @@ template<typename Derived> class DenseBase * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a * column-major matrix, and the number of columns for a row-major matrix. */ + EIGEN_DEVICE_FUNC Index innerSize() const { return IsVectorAtCompileTime ? this->size() @@ -210,6 +237,7 @@ template<typename Derived> class DenseBase * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does * nothing else. */ + EIGEN_DEVICE_FUNC void resize(Index newSize) { EIGEN_ONLY_USED_FOR_DEBUG(newSize); @@ -220,22 +248,22 @@ template<typename Derived> class DenseBase * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does * nothing else. */ - void resize(Index nbRows, Index nbCols) + EIGEN_DEVICE_FUNC + void resize(Index rows, Index cols) { - EIGEN_ONLY_USED_FOR_DEBUG(nbRows); - EIGEN_ONLY_USED_FOR_DEBUG(nbCols); - eigen_assert(nbRows == this->rows() && nbCols == this->cols() + EIGEN_ONLY_USED_FOR_DEBUG(rows); + EIGEN_ONLY_USED_FOR_DEBUG(cols); + eigen_assert(rows == this->rows() && cols == this->cols() && "DenseBase::resize() does not actually allow to resize."); } #ifndef EIGEN_PARSED_BY_DOXYGEN - /** \internal Represents a matrix with all coefficients equal to one another*/ - typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType; - /** \internal Represents a vector with linearly spaced coefficients that allows sequential access only. */ - typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType; + typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType; + /** \internal \deprecated Represents a vector with linearly spaced coefficients that allows sequential access only. */ + typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> SequentialLinSpacedReturnType; /** \internal Represents a vector with linearly spaced coefficients that allows random access. */ - typedef CwiseNullaryOp<internal::linspaced_op<Scalar,true>,Derived> RandomAccessLinSpacedReturnType; + typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> RandomAccessLinSpacedReturnType; /** \internal the return type of MatrixBase::eigenvalues() */ typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType; @@ -243,120 +271,133 @@ template<typename Derived> class DenseBase /** Copies \a other into *this. \returns a reference to *this. */ template<typename OtherDerived> + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const DenseBase<OtherDerived>& other); /** Special case of the template operator=, in order to prevent the compiler * from generating a default operator= (issue hit with g++ 4.1) */ + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const DenseBase& other); template<typename OtherDerived> + EIGEN_DEVICE_FUNC Derived& operator=(const EigenBase<OtherDerived> &other); template<typename OtherDerived> + EIGEN_DEVICE_FUNC Derived& operator+=(const EigenBase<OtherDerived> &other); template<typename OtherDerived> + EIGEN_DEVICE_FUNC Derived& operator-=(const EigenBase<OtherDerived> &other); template<typename OtherDerived> + EIGEN_DEVICE_FUNC Derived& operator=(const ReturnByValue<OtherDerived>& func); - /** \internal Copies \a other into *this without evaluating other. \returns a reference to *this. */ + /** \internal + * Copies \a other into *this without evaluating other. \returns a reference to *this. + * \deprecated */ template<typename OtherDerived> + EIGEN_DEVICE_FUNC Derived& lazyAssign(const DenseBase<OtherDerived>& other); - /** \internal Evaluates \a other into *this. \returns a reference to *this. */ - template<typename OtherDerived> - Derived& lazyAssign(const ReturnByValue<OtherDerived>& other); - + EIGEN_DEVICE_FUNC CommaInitializer<Derived> operator<< (const Scalar& s); + /** \deprecated it now returns \c *this */ template<unsigned int Added,unsigned int Removed> - const Flagged<Derived, Added, Removed> flagged() const; + EIGEN_DEPRECATED + const Derived& flagged() const + { return derived(); } template<typename OtherDerived> + EIGEN_DEVICE_FUNC CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other); - Eigen::Transpose<Derived> transpose(); - typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; + typedef Transpose<Derived> TransposeReturnType; + EIGEN_DEVICE_FUNC + TransposeReturnType transpose(); + typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; + EIGEN_DEVICE_FUNC ConstTransposeReturnType transpose() const; + EIGEN_DEVICE_FUNC void transposeInPlace(); -#ifndef EIGEN_NO_DEBUG - protected: - template<typename OtherDerived> - void checkTransposeAliasing(const OtherDerived& other) const; - public: -#endif - - static const ConstantReturnType + EIGEN_DEVICE_FUNC static const ConstantReturnType Constant(Index rows, Index cols, const Scalar& value); - static const ConstantReturnType + EIGEN_DEVICE_FUNC static const ConstantReturnType Constant(Index size, const Scalar& value); - static const ConstantReturnType + EIGEN_DEVICE_FUNC static const ConstantReturnType Constant(const Scalar& value); - static const SequentialLinSpacedReturnType + EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high); - static const RandomAccessLinSpacedReturnType + EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType LinSpaced(Index size, const Scalar& low, const Scalar& high); - static const SequentialLinSpacedReturnType + EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType LinSpaced(Sequential_t, const Scalar& low, const Scalar& high); - static const RandomAccessLinSpacedReturnType + EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType LinSpaced(const Scalar& low, const Scalar& high); - template<typename CustomNullaryOp> - static const CwiseNullaryOp<CustomNullaryOp, Derived> + template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC + static const CwiseNullaryOp<CustomNullaryOp, PlainObject> NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func); - template<typename CustomNullaryOp> - static const CwiseNullaryOp<CustomNullaryOp, Derived> + template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC + static const CwiseNullaryOp<CustomNullaryOp, PlainObject> NullaryExpr(Index size, const CustomNullaryOp& func); - template<typename CustomNullaryOp> - static const CwiseNullaryOp<CustomNullaryOp, Derived> + template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC + static const CwiseNullaryOp<CustomNullaryOp, PlainObject> NullaryExpr(const CustomNullaryOp& func); - static const ConstantReturnType Zero(Index rows, Index cols); - static const ConstantReturnType Zero(Index size); - static const ConstantReturnType Zero(); - static const ConstantReturnType Ones(Index rows, Index cols); - static const ConstantReturnType Ones(Index size); - static const ConstantReturnType Ones(); - - void fill(const Scalar& value); - Derived& setConstant(const Scalar& value); - Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high); - Derived& setLinSpaced(const Scalar& low, const Scalar& high); - Derived& setZero(); - Derived& setOnes(); - Derived& setRandom(); - - template<typename OtherDerived> + EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index rows, Index cols); + EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index size); + EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(); + EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index rows, Index cols); + EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index size); + EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(); + + EIGEN_DEVICE_FUNC void fill(const Scalar& value); + EIGEN_DEVICE_FUNC Derived& setConstant(const Scalar& value); + EIGEN_DEVICE_FUNC Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high); + EIGEN_DEVICE_FUNC Derived& setLinSpaced(const Scalar& low, const Scalar& high); + EIGEN_DEVICE_FUNC Derived& setZero(); + EIGEN_DEVICE_FUNC Derived& setOnes(); + EIGEN_DEVICE_FUNC Derived& setRandom(); + + template<typename OtherDerived> EIGEN_DEVICE_FUNC bool isApprox(const DenseBase<OtherDerived>& other, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + EIGEN_DEVICE_FUNC bool isMuchSmallerThan(const RealScalar& other, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - template<typename OtherDerived> + template<typename OtherDerived> EIGEN_DEVICE_FUNC bool isMuchSmallerThan(const DenseBase<OtherDerived>& other, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; - bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + EIGEN_DEVICE_FUNC bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + EIGEN_DEVICE_FUNC bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + EIGEN_DEVICE_FUNC bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; + EIGEN_DEVICE_FUNC bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const; inline bool hasNaN() const; inline bool allFinite() const; - inline Derived& operator*=(const Scalar& other); - inline Derived& operator/=(const Scalar& other); + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Derived& operator*=(const Scalar& other); + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Derived& operator/=(const Scalar& other); typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType; /** \returns the matrix or vector obtained by evaluating this expression. * * Notice that in the case of a plain matrix or vector (not an expression) this function just returns * a const reference, in order to avoid a useless copy. + * + * \warning Be carefull with eval() and the auto C++ keyword, as detailed in this \link TopicPitfalls_auto_keyword page \endlink. */ + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE EvalReturnType eval() const { // Even though MSVC does not honor strong inlining when the return type @@ -364,61 +405,78 @@ template<typename Derived> class DenseBase // size types on MSVC. return typename internal::eval<Derived>::type(derived()); } - + /** swaps *this with the expression \a other. * */ template<typename OtherDerived> - void swap(const DenseBase<OtherDerived>& other, - int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase) + EIGEN_DEVICE_FUNC + void swap(const DenseBase<OtherDerived>& other) { - SwapWrapper<Derived>(derived()).lazyAssign(other.derived()); + EIGEN_STATIC_ASSERT(!OtherDerived::IsPlainObjectBase,THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY); + eigen_assert(rows()==other.rows() && cols()==other.cols()); + call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>()); } /** swaps *this with the matrix or array \a other. * */ template<typename OtherDerived> + EIGEN_DEVICE_FUNC void swap(PlainObjectBase<OtherDerived>& other) { - SwapWrapper<Derived>(derived()).lazyAssign(other.derived()); + eigen_assert(rows()==other.rows() && cols()==other.cols()); + call_assignment(derived(), other.derived(), internal::swap_assign_op<Scalar>()); } + EIGEN_DEVICE_FUNC inline const NestByValue<Derived> nestByValue() const; + EIGEN_DEVICE_FUNC inline const ForceAlignedAccess<Derived> forceAlignedAccess() const; + EIGEN_DEVICE_FUNC inline ForceAlignedAccess<Derived> forceAlignedAccess(); + template<bool Enable> EIGEN_DEVICE_FUNC + inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const; + template<bool Enable> EIGEN_DEVICE_FUNC + inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf(); - inline const NestByValue<Derived> nestByValue() const; - inline const ForceAlignedAccess<Derived> forceAlignedAccess() const; - inline ForceAlignedAccess<Derived> forceAlignedAccess(); - template<bool Enable> inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const; - template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf(); - - Scalar sum() const; - Scalar mean() const; - Scalar trace() const; + EIGEN_DEVICE_FUNC Scalar sum() const; + EIGEN_DEVICE_FUNC Scalar mean() const; + EIGEN_DEVICE_FUNC Scalar trace() const; - Scalar prod() const; + EIGEN_DEVICE_FUNC Scalar prod() const; - typename internal::traits<Derived>::Scalar minCoeff() const; - typename internal::traits<Derived>::Scalar maxCoeff() const; + EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff() const; + EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff() const; - template<typename IndexType> + template<typename IndexType> EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const; - template<typename IndexType> + template<typename IndexType> EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const; - template<typename IndexType> + template<typename IndexType> EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const; - template<typename IndexType> + template<typename IndexType> EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const; template<typename BinaryOp> - typename internal::result_of<BinaryOp(typename internal::traits<Derived>::Scalar)>::type - redux(const BinaryOp& func) const; + EIGEN_DEVICE_FUNC + Scalar redux(const BinaryOp& func) const; template<typename Visitor> + EIGEN_DEVICE_FUNC void visit(Visitor& func) const; - inline const WithFormat<Derived> format(const IOFormat& fmt) const; + /** \returns a WithFormat proxy object allowing to print a matrix the with given + * format \a fmt. + * + * See class IOFormat for some examples. + * + * \sa class IOFormat, class WithFormat + */ + inline const WithFormat<Derived> format(const IOFormat& fmt) const + { + return WithFormat<Derived>(derived(), fmt); + } /** \returns the unique coefficient of a 1x1 expression */ + EIGEN_DEVICE_FUNC CoeffReturnType value() const { EIGEN_STATIC_ASSERT_SIZE_1x1(Derived) @@ -426,23 +484,44 @@ template<typename Derived> class DenseBase return derived().coeff(0,0); } - bool all(void) const; - bool any(void) const; - Index count() const; + EIGEN_DEVICE_FUNC bool all() const; + EIGEN_DEVICE_FUNC bool any() const; + EIGEN_DEVICE_FUNC Index count() const; typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType; typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType; typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType; typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType; - ConstRowwiseReturnType rowwise() const; - RowwiseReturnType rowwise(); - ConstColwiseReturnType colwise() const; - ColwiseReturnType colwise(); + /** \returns a VectorwiseOp wrapper of *this providing additional partial reduction operations + * + * Example: \include MatrixBase_rowwise.cpp + * Output: \verbinclude MatrixBase_rowwise.out + * + * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting + */ + //Code moved here due to a CUDA compiler bug + EIGEN_DEVICE_FUNC inline ConstRowwiseReturnType rowwise() const { + return ConstRowwiseReturnType(derived()); + } + EIGEN_DEVICE_FUNC RowwiseReturnType rowwise(); + + /** \returns a VectorwiseOp wrapper of *this providing additional partial reduction operations + * + * Example: \include MatrixBase_colwise.cpp + * Output: \verbinclude MatrixBase_colwise.out + * + * \sa rowwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting + */ + EIGEN_DEVICE_FUNC inline ConstColwiseReturnType colwise() const { + return ConstColwiseReturnType(derived()); + } + EIGEN_DEVICE_FUNC ColwiseReturnType colwise(); - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index rows, Index cols); - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index size); - static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(); + typedef CwiseNullaryOp<internal::scalar_random_op<Scalar>,PlainObject> RandomReturnType; + static const RandomReturnType Random(Index rows, Index cols); + static const RandomReturnType Random(Index size); + static const RandomReturnType Random(); template<typename ThenDerived,typename ElseDerived> const Select<Derived,ThenDerived,ElseDerived> @@ -460,45 +539,56 @@ template<typename Derived> class DenseBase template<int p> RealScalar lpNorm() const; template<int RowFactor, int ColFactor> - inline const Replicate<Derived,RowFactor,ColFactor> replicate() const; - - typedef Replicate<Derived,Dynamic,Dynamic> ReplicateReturnType; - inline const ReplicateReturnType replicate(Index rowFacor,Index colFactor) const; + EIGEN_DEVICE_FUNC + const Replicate<Derived,RowFactor,ColFactor> replicate() const; + /** + * \return an expression of the replication of \c *this + * + * Example: \include MatrixBase_replicate_int_int.cpp + * Output: \verbinclude MatrixBase_replicate_int_int.out + * + * \sa VectorwiseOp::replicate(), DenseBase::replicate<int,int>(), class Replicate + */ + //Code moved here due to a CUDA compiler bug + EIGEN_DEVICE_FUNC + const Replicate<Derived, Dynamic, Dynamic> replicate(Index rowFactor, Index colFactor) const + { + return Replicate<Derived, Dynamic, Dynamic>(derived(), rowFactor, colFactor); + } typedef Reverse<Derived, BothDirections> ReverseReturnType; typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType; - ReverseReturnType reverse(); - ConstReverseReturnType reverse() const; - void reverseInPlace(); + EIGEN_DEVICE_FUNC ReverseReturnType reverse(); + /** This is the const version of reverse(). */ + //Code moved here due to a CUDA compiler bug + EIGEN_DEVICE_FUNC ConstReverseReturnType reverse() const + { + return ConstReverseReturnType(derived()); + } + EIGEN_DEVICE_FUNC void reverseInPlace(); #define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase +#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL +#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) # include "../plugins/BlockMethods.h" # ifdef EIGEN_DENSEBASE_PLUGIN # include EIGEN_DENSEBASE_PLUGIN # endif #undef EIGEN_CURRENT_STORAGE_BASE_CLASS - -#ifdef EIGEN2_SUPPORT - - Block<Derived> corner(CornerType type, Index cRows, Index cCols); - const Block<Derived> corner(CornerType type, Index cRows, Index cCols) const; - template<int CRows, int CCols> - Block<Derived, CRows, CCols> corner(CornerType type); - template<int CRows, int CCols> - const Block<Derived, CRows, CCols> corner(CornerType type) const; - -#endif // EIGEN2_SUPPORT - +#undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL +#undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF // disable the use of evalTo for dense objects with a nice compilation error - template<typename Dest> inline void evalTo(Dest& ) const + template<typename Dest> + EIGEN_DEVICE_FUNC + inline void evalTo(Dest& ) const { EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS); } protected: /** Default constructor. Do nothing. */ - DenseBase() + EIGEN_DEVICE_FUNC DenseBase() { /* Just checks for self-consistency of the flags. * Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down @@ -511,9 +601,9 @@ template<typename Derived> class DenseBase } private: - explicit DenseBase(int); - DenseBase(int,int); - template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&); + EIGEN_DEVICE_FUNC explicit DenseBase(int); + EIGEN_DEVICE_FUNC DenseBase(int,int); + template<typename OtherDerived> EIGEN_DEVICE_FUNC explicit DenseBase(const DenseBase<OtherDerived>&); }; } // end namespace Eigen |