From 35f7829af10c61e33dd2e2a7a015058e11a11ea0 Mon Sep 17 00:00:00 2001 From: Stanislaw Halik Date: Sat, 25 Mar 2017 14:17:07 +0100 Subject: update --- eigen/Eigen/src/Core/CwiseNullaryOp.h | 324 +++++++++++++++++----------------- 1 file changed, 163 insertions(+), 161 deletions(-) (limited to 'eigen/Eigen/src/Core/CwiseNullaryOp.h') diff --git a/eigen/Eigen/src/Core/CwiseNullaryOp.h b/eigen/Eigen/src/Core/CwiseNullaryOp.h index a93bab2..144608e 100644 --- a/eigen/Eigen/src/Core/CwiseNullaryOp.h +++ b/eigen/Eigen/src/Core/CwiseNullaryOp.h @@ -12,13 +12,24 @@ namespace Eigen { +namespace internal { +template +struct traits > : traits +{ + enum { + Flags = traits::Flags & RowMajorBit + }; +}; + +} // namespace internal + /** \class CwiseNullaryOp * \ingroup Core_Module * * \brief Generic expression of a matrix where all coefficients are defined by a functor * - * \param NullaryOp template functor implementing the operator - * \param PlainObjectType the underlying plain matrix/array type + * \tparam NullaryOp template functor implementing the operator + * \tparam PlainObjectType the underlying plain matrix/array type * * This class represents an expression of a generic nullary operator. * It is the return type of the Ones(), Zero(), Constant(), Identity() and Random() methods, @@ -27,68 +38,49 @@ namespace Eigen { * However, if you want to write a function returning such an expression, you * will need to use this class. * - * \sa class CwiseUnaryOp, class CwiseBinaryOp, DenseBase::NullaryExpr() + * The functor NullaryOp must expose one of the following method: + + + + +
\c operator()() if the procedural generation does not depend on the coefficient entries (e.g., random numbers)
\c operator()(Index i)if the procedural generation makes sense for vectors only and that it depends on the coefficient index \c i (e.g., linspace)
\c operator()(Index i,Index j)if the procedural generation depends on the matrix coordinates \c i, \c j (e.g., to generate a checkerboard with 0 and 1)
+ * It is also possible to expose the last two operators if the generation makes sense for matrices but can be optimized for vectors. + * + * See DenseBase::NullaryExpr(Index,const CustomNullaryOp&) for an example binding + * C++11 random number generators. + * + * A nullary expression can also be used to implement custom sophisticated matrix manipulations + * that cannot be covered by the existing set of natively supported matrix manipulations. + * See this \ref TopicCustomizing_NullaryExpr "page" for some examples and additional explanations + * on the behavior of CwiseNullaryOp. + * + * \sa class CwiseUnaryOp, class CwiseBinaryOp, DenseBase::NullaryExpr */ - -namespace internal { template -struct traits > : traits -{ - enum { - Flags = (traits::Flags - & ( HereditaryBits - | (functor_has_linear_access::ret ? LinearAccessBit : 0) - | (functor_traits::PacketAccess ? PacketAccessBit : 0))) - | (functor_traits::IsRepeatable ? 0 : EvalBeforeNestingBit), - CoeffReadCost = functor_traits::Cost - }; -}; -} - -template -class CwiseNullaryOp : internal::no_assignment_operator, - public internal::dense_xpr_base< CwiseNullaryOp >::type +class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator { public: typedef typename internal::dense_xpr_base::type Base; EIGEN_DENSE_PUBLIC_INTERFACE(CwiseNullaryOp) - CwiseNullaryOp(Index nbRows, Index nbCols, const NullaryOp& func = NullaryOp()) - : m_rows(nbRows), m_cols(nbCols), m_functor(func) + EIGEN_DEVICE_FUNC + CwiseNullaryOp(Index rows, Index cols, const NullaryOp& func = NullaryOp()) + : m_rows(rows), m_cols(cols), m_functor(func) { - eigen_assert(nbRows >= 0 - && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == nbRows) - && nbCols >= 0 - && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == nbCols)); + eigen_assert(rows >= 0 + && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows) + && cols >= 0 + && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols)); } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rows() const { return m_rows.value(); } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index cols() const { return m_cols.value(); } - EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const - { - return m_functor(rowId, colId); - } - - template - EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const - { - return m_functor.packetOp(rowId, colId); - } - - EIGEN_STRONG_INLINE const Scalar coeff(Index index) const - { - return m_functor(index); - } - - template - EIGEN_STRONG_INLINE PacketScalar packet(Index index) const - { - return m_functor.packetOp(index); - } - /** \returns the functor representing the nullary operation */ + EIGEN_DEVICE_FUNC const NullaryOp& functor() const { return m_functor; } protected: @@ -113,10 +105,10 @@ class CwiseNullaryOp : internal::no_assignment_operator, */ template template -EIGEN_STRONG_INLINE const CwiseNullaryOp +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp::PlainObject> DenseBase::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func) { - return CwiseNullaryOp(rows, cols, func); + return CwiseNullaryOp(rows, cols, func); } /** \returns an expression of a matrix defined by a custom functor \a func @@ -132,16 +124,19 @@ DenseBase::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& f * * The template parameter \a CustomNullaryOp is the type of the functor. * + * Here is an example with C++11 random generators: \include random_cpp11.cpp + * Output: \verbinclude random_cpp11.out + * * \sa class CwiseNullaryOp */ template template -EIGEN_STRONG_INLINE const CwiseNullaryOp +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp::PlainObject> DenseBase::NullaryExpr(Index size, const CustomNullaryOp& func) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) - if(RowsAtCompileTime == 1) return CwiseNullaryOp(1, size, func); - else return CwiseNullaryOp(size, 1, func); + if(RowsAtCompileTime == 1) return CwiseNullaryOp(1, size, func); + else return CwiseNullaryOp(size, 1, func); } /** \returns an expression of a matrix defined by a custom functor \a func @@ -155,19 +150,19 @@ DenseBase::NullaryExpr(Index size, const CustomNullaryOp& func) */ template template -EIGEN_STRONG_INLINE const CwiseNullaryOp +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp::PlainObject> DenseBase::NullaryExpr(const CustomNullaryOp& func) { - return CwiseNullaryOp(RowsAtCompileTime, ColsAtCompileTime, func); + return CwiseNullaryOp(RowsAtCompileTime, ColsAtCompileTime, func); } /** \returns an expression of a constant matrix of value \a value * - * The parameters \a nbRows and \a nbCols are the number of rows and of columns of + * The parameters \a rows and \a cols are the number of rows and of columns of * the returned matrix. Must be compatible with this DenseBase type. * * This variant is meant to be used for dynamic-size matrix types. For fixed-size types, - * it is redundant to pass \a nbRows and \a nbCols as arguments, so Zero() should be used + * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used * instead. * * The template parameter \a CustomNullaryOp is the type of the functor. @@ -175,10 +170,10 @@ DenseBase::NullaryExpr(const CustomNullaryOp& func) * \sa class CwiseNullaryOp */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType -DenseBase::Constant(Index nbRows, Index nbCols, const Scalar& value) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +DenseBase::Constant(Index rows, Index cols, const Scalar& value) { - return DenseBase::NullaryExpr(nbRows, nbCols, internal::scalar_constant_op(value)); + return DenseBase::NullaryExpr(rows, cols, internal::scalar_constant_op(value)); } /** \returns an expression of a constant matrix of value \a value @@ -197,7 +192,7 @@ DenseBase::Constant(Index nbRows, Index nbCols, const Scalar& value) * \sa class CwiseNullaryOp */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Constant(Index size, const Scalar& value) { return DenseBase::NullaryExpr(size, internal::scalar_constant_op(value)); @@ -213,53 +208,40 @@ DenseBase::Constant(Index size, const Scalar& value) * \sa class CwiseNullaryOp */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Constant(const Scalar& value) { EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived) return DenseBase::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_constant_op(value)); } -/** - * \brief Sets a linearly space vector. - * - * The function generates 'size' equally spaced values in the closed interval [low,high]. - * This particular version of LinSpaced() uses sequential access, i.e. vector access is - * assumed to be a(0), a(1), ..., a(size). This assumption allows for better vectorization - * and yields faster code than the random access version. - * - * When size is set to 1, a vector of length 1 containing 'high' is returned. - * - * \only_for_vectors - * - * Example: \include DenseBase_LinSpaced_seq.cpp - * Output: \verbinclude DenseBase_LinSpaced_seq.out +/** \deprecated because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(Index,const Scalar&,const Scalar&) * - * \sa setLinSpaced(Index,const Scalar&,const Scalar&), LinSpaced(Index,Scalar,Scalar), CwiseNullaryOp + * \sa LinSpaced(Index,Scalar,Scalar), setLinSpaced(Index,const Scalar&,const Scalar&) */ template -EIGEN_STRONG_INLINE const typename DenseBase::SequentialLinSpacedReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType DenseBase::LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) - return DenseBase::NullaryExpr(size, internal::linspaced_op(low,high,size)); + return DenseBase::NullaryExpr(size, internal::linspaced_op(low,high,size)); } -/** - * \copydoc DenseBase::LinSpaced(Sequential_t, Index, const Scalar&, const Scalar&) - * Special version for fixed size types which does not require the size parameter. +/** \deprecated because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(const Scalar&,const Scalar&) + * + * \sa LinSpaced(Scalar,Scalar) */ template -EIGEN_STRONG_INLINE const typename DenseBase::SequentialLinSpacedReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType DenseBase::LinSpaced(Sequential_t, const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived) - return DenseBase::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op(low,high,Derived::SizeAtCompileTime)); + return DenseBase::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op(low,high,Derived::SizeAtCompileTime)); } /** - * \brief Sets a linearly space vector. + * \brief Sets a linearly spaced vector. * * The function generates 'size' equally spaced values in the closed interval [low,high]. * When size is set to 1, a vector of length 1 containing 'high' is returned. @@ -269,14 +251,24 @@ DenseBase::LinSpaced(Sequential_t, const Scalar& low, const Scalar& hig * Example: \include DenseBase_LinSpaced.cpp * Output: \verbinclude DenseBase_LinSpaced.out * - * \sa setLinSpaced(Index,const Scalar&,const Scalar&), LinSpaced(Sequential_t,Index,const Scalar&,const Scalar&,Index), CwiseNullaryOp + * For integer scalar types, an even spacing is possible if and only if the length of the range, + * i.e., \c high-low is a scalar multiple of \c size-1, or if \c size is a scalar multiple of the + * number of values \c high-low+1 (meaning each value can be repeated the same number of time). + * If one of these two considions is not satisfied, then \c high is lowered to the largest value + * satisfying one of this constraint. + * Here are some examples: + * + * Example: \include DenseBase_LinSpacedInt.cpp + * Output: \verbinclude DenseBase_LinSpacedInt.out + * + * \sa setLinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp */ template -EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType DenseBase::LinSpaced(Index size, const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) - return DenseBase::NullaryExpr(size, internal::linspaced_op(low,high,size)); + return DenseBase::NullaryExpr(size, internal::linspaced_op(low,high,size)); } /** @@ -284,22 +276,23 @@ DenseBase::LinSpaced(Index size, const Scalar& low, const Scalar& high) * Special version for fixed size types which does not require the size parameter. */ template -EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::RandomAccessLinSpacedReturnType DenseBase::LinSpaced(const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived) - return DenseBase::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op(low,high,Derived::SizeAtCompileTime)); + return DenseBase::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op(low,high,Derived::SizeAtCompileTime)); } /** \returns true if all coefficients in this matrix are approximately equal to \a val, to within precision \a prec */ template -bool DenseBase::isApproxToConstant +EIGEN_DEVICE_FUNC bool DenseBase::isApproxToConstant (const Scalar& val, const RealScalar& prec) const { + typename internal::nested_eval::type self(derived()); for(Index j = 0; j < cols(); ++j) for(Index i = 0; i < rows(); ++i) - if(!internal::isApprox(this->coeff(i, j), val, prec)) + if(!internal::isApprox(self.coeff(i, j), val, prec)) return false; return true; } @@ -308,7 +301,7 @@ bool DenseBase::isApproxToConstant * * \returns true if all coefficients in this matrix are approximately equal to \a value, to within precision \a prec */ template -bool DenseBase::isConstant +EIGEN_DEVICE_FUNC bool DenseBase::isConstant (const Scalar& val, const RealScalar& prec) const { return isApproxToConstant(val, prec); @@ -319,22 +312,22 @@ bool DenseBase::isConstant * \sa setConstant(), Constant(), class CwiseNullaryOp */ template -EIGEN_STRONG_INLINE void DenseBase::fill(const Scalar& val) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void DenseBase::fill(const Scalar& val) { setConstant(val); } -/** Sets all coefficients in this expression to \a value. +/** Sets all coefficients in this expression to value \a val. * * \sa fill(), setConstant(Index,const Scalar&), setConstant(Index,Index,const Scalar&), setZero(), setOnes(), Constant(), class CwiseNullaryOp, setZero(), setOnes() */ template -EIGEN_STRONG_INLINE Derived& DenseBase::setConstant(const Scalar& val) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase::setConstant(const Scalar& val) { return derived() = Constant(rows(), cols(), val); } -/** Resizes to the given \a size, and sets all coefficients in this expression to the given \a value. +/** Resizes to the given \a size, and sets all coefficients in this expression to the given value \a val. * * \only_for_vectors * @@ -344,17 +337,17 @@ EIGEN_STRONG_INLINE Derived& DenseBase::setConstant(const Scalar& val) * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&) */ template -EIGEN_STRONG_INLINE Derived& +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& PlainObjectBase::setConstant(Index size, const Scalar& val) { resize(size); return setConstant(val); } -/** Resizes to the given size, and sets all coefficients in this expression to the given \a value. +/** Resizes to the given size, and sets all coefficients in this expression to the given value \a val. * - * \param nbRows the new number of rows - * \param nbCols the new number of columns + * \param rows the new number of rows + * \param cols the new number of columns * \param val the value to which all coefficients are set * * Example: \include Matrix_setConstant_int_int.cpp @@ -363,15 +356,15 @@ PlainObjectBase::setConstant(Index size, const Scalar& val) * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&) */ template -EIGEN_STRONG_INLINE Derived& -PlainObjectBase::setConstant(Index nbRows, Index nbCols, const Scalar& val) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& +PlainObjectBase::setConstant(Index rows, Index cols, const Scalar& val) { - resize(nbRows, nbCols); + resize(rows, cols); return setConstant(val); } /** - * \brief Sets a linearly space vector. + * \brief Sets a linearly spaced vector. * * The function generates 'size' equally spaced values in the closed interval [low,high]. * When size is set to 1, a vector of length 1 containing 'high' is returned. @@ -381,27 +374,33 @@ PlainObjectBase::setConstant(Index nbRows, Index nbCols, const Scalar& * Example: \include DenseBase_setLinSpaced.cpp * Output: \verbinclude DenseBase_setLinSpaced.out * - * \sa CwiseNullaryOp + * For integer scalar types, do not miss the explanations on the definition + * of \link LinSpaced(Index,const Scalar&,const Scalar&) even spacing \endlink. + * + * \sa LinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp */ template -EIGEN_STRONG_INLINE Derived& DenseBase::setLinSpaced(Index newSize, const Scalar& low, const Scalar& high) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase::setLinSpaced(Index newSize, const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) - return derived() = Derived::NullaryExpr(newSize, internal::linspaced_op(low,high,newSize)); + return derived() = Derived::NullaryExpr(newSize, internal::linspaced_op(low,high,newSize)); } /** - * \brief Sets a linearly space vector. + * \brief Sets a linearly spaced vector. * - * The function fill *this with equally spaced values in the closed interval [low,high]. + * The function fills \c *this with equally spaced values in the closed interval [low,high]. * When size is set to 1, a vector of length 1 containing 'high' is returned. * * \only_for_vectors * - * \sa setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp + * For integer scalar types, do not miss the explanations on the definition + * of \link LinSpaced(Index,const Scalar&,const Scalar&) even spacing \endlink. + * + * \sa LinSpaced(Index,const Scalar&,const Scalar&), setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp */ template -EIGEN_STRONG_INLINE Derived& DenseBase::setLinSpaced(const Scalar& low, const Scalar& high) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase::setLinSpaced(const Scalar& low, const Scalar& high) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) return setLinSpaced(size(), low, high); @@ -424,10 +423,10 @@ EIGEN_STRONG_INLINE Derived& DenseBase::setLinSpaced(const Scalar& low, * \sa Zero(), Zero(Index) */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType -DenseBase::Zero(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +DenseBase::Zero(Index rows, Index cols) { - return Constant(nbRows, nbCols, Scalar(0)); + return Constant(rows, cols, Scalar(0)); } /** \returns an expression of a zero vector. @@ -447,7 +446,7 @@ DenseBase::Zero(Index nbRows, Index nbCols) * \sa Zero(), Zero(Index,Index) */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Zero(Index size) { return Constant(size, Scalar(0)); @@ -464,7 +463,7 @@ DenseBase::Zero(Index size) * \sa Zero(Index), Zero(Index,Index) */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Zero() { return Constant(Scalar(0)); @@ -479,11 +478,12 @@ DenseBase::Zero() * \sa class CwiseNullaryOp, Zero() */ template -bool DenseBase::isZero(const RealScalar& prec) const +EIGEN_DEVICE_FUNC bool DenseBase::isZero(const RealScalar& prec) const { + typename internal::nested_eval::type self(derived()); for(Index j = 0; j < cols(); ++j) for(Index i = 0; i < rows(); ++i) - if(!internal::isMuchSmallerThan(this->coeff(i, j), static_cast(1), prec)) + if(!internal::isMuchSmallerThan(self.coeff(i, j), static_cast(1), prec)) return false; return true; } @@ -496,7 +496,7 @@ bool DenseBase::isZero(const RealScalar& prec) const * \sa class CwiseNullaryOp, Zero() */ template -EIGEN_STRONG_INLINE Derived& DenseBase::setZero() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase::setZero() { return setConstant(Scalar(0)); } @@ -511,7 +511,7 @@ EIGEN_STRONG_INLINE Derived& DenseBase::setZero() * \sa DenseBase::setZero(), setZero(Index,Index), class CwiseNullaryOp, DenseBase::Zero() */ template -EIGEN_STRONG_INLINE Derived& +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& PlainObjectBase::setZero(Index newSize) { resize(newSize); @@ -520,8 +520,8 @@ PlainObjectBase::setZero(Index newSize) /** Resizes to the given size, and sets all coefficients in this expression to zero. * - * \param nbRows the new number of rows - * \param nbCols the new number of columns + * \param rows the new number of rows + * \param cols the new number of columns * * Example: \include Matrix_setZero_int_int.cpp * Output: \verbinclude Matrix_setZero_int_int.out @@ -529,10 +529,10 @@ PlainObjectBase::setZero(Index newSize) * \sa DenseBase::setZero(), setZero(Index), class CwiseNullaryOp, DenseBase::Zero() */ template -EIGEN_STRONG_INLINE Derived& -PlainObjectBase::setZero(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& +PlainObjectBase::setZero(Index rows, Index cols) { - resize(nbRows, nbCols); + resize(rows, cols); return setConstant(Scalar(0)); } @@ -540,7 +540,7 @@ PlainObjectBase::setZero(Index nbRows, Index nbCols) /** \returns an expression of a matrix where all coefficients equal one. * - * The parameters \a nbRows and \a nbCols are the number of rows and of columns of + * The parameters \a rows and \a cols are the number of rows and of columns of * the returned matrix. Must be compatible with this MatrixBase type. * * This variant is meant to be used for dynamic-size matrix types. For fixed-size types, @@ -553,10 +553,10 @@ PlainObjectBase::setZero(Index nbRows, Index nbCols) * \sa Ones(), Ones(Index), isOnes(), class Ones */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType -DenseBase::Ones(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +DenseBase::Ones(Index rows, Index cols) { - return Constant(nbRows, nbCols, Scalar(1)); + return Constant(rows, cols, Scalar(1)); } /** \returns an expression of a vector where all coefficients equal one. @@ -576,7 +576,7 @@ DenseBase::Ones(Index nbRows, Index nbCols) * \sa Ones(), Ones(Index,Index), isOnes(), class Ones */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Ones(Index newSize) { return Constant(newSize, Scalar(1)); @@ -593,7 +593,7 @@ DenseBase::Ones(Index newSize) * \sa Ones(Index), Ones(Index,Index), isOnes(), class Ones */ template -EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase::ConstantReturnType DenseBase::Ones() { return Constant(Scalar(1)); @@ -608,7 +608,7 @@ DenseBase::Ones() * \sa class CwiseNullaryOp, Ones() */ template -bool DenseBase::isOnes +EIGEN_DEVICE_FUNC bool DenseBase::isOnes (const RealScalar& prec) const { return isApproxToConstant(Scalar(1), prec); @@ -622,7 +622,7 @@ bool DenseBase::isOnes * \sa class CwiseNullaryOp, Ones() */ template -EIGEN_STRONG_INLINE Derived& DenseBase::setOnes() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase::setOnes() { return setConstant(Scalar(1)); } @@ -637,7 +637,7 @@ EIGEN_STRONG_INLINE Derived& DenseBase::setOnes() * \sa MatrixBase::setOnes(), setOnes(Index,Index), class CwiseNullaryOp, MatrixBase::Ones() */ template -EIGEN_STRONG_INLINE Derived& +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& PlainObjectBase::setOnes(Index newSize) { resize(newSize); @@ -646,8 +646,8 @@ PlainObjectBase::setOnes(Index newSize) /** Resizes to the given size, and sets all coefficients in this expression to one. * - * \param nbRows the new number of rows - * \param nbCols the new number of columns + * \param rows the new number of rows + * \param cols the new number of columns * * Example: \include Matrix_setOnes_int_int.cpp * Output: \verbinclude Matrix_setOnes_int_int.out @@ -655,10 +655,10 @@ PlainObjectBase::setOnes(Index newSize) * \sa MatrixBase::setOnes(), setOnes(Index), class CwiseNullaryOp, MatrixBase::Ones() */ template -EIGEN_STRONG_INLINE Derived& -PlainObjectBase::setOnes(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& +PlainObjectBase::setOnes(Index rows, Index cols) { - resize(nbRows, nbCols); + resize(rows, cols); return setConstant(Scalar(1)); } @@ -666,7 +666,7 @@ PlainObjectBase::setOnes(Index nbRows, Index nbCols) /** \returns an expression of the identity matrix (not necessarily square). * - * The parameters \a nbRows and \a nbCols are the number of rows and of columns of + * The parameters \a rows and \a cols are the number of rows and of columns of * the returned matrix. Must be compatible with this MatrixBase type. * * This variant is meant to be used for dynamic-size matrix types. For fixed-size types, @@ -679,10 +679,10 @@ PlainObjectBase::setOnes(Index nbRows, Index nbCols) * \sa Identity(), setIdentity(), isIdentity() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::IdentityReturnType -MatrixBase::Identity(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::IdentityReturnType +MatrixBase::Identity(Index rows, Index cols) { - return DenseBase::NullaryExpr(nbRows, nbCols, internal::scalar_identity_op()); + return DenseBase::NullaryExpr(rows, cols, internal::scalar_identity_op()); } /** \returns an expression of the identity matrix (not necessarily square). @@ -696,7 +696,7 @@ MatrixBase::Identity(Index nbRows, Index nbCols) * \sa Identity(Index,Index), setIdentity(), isIdentity() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::IdentityReturnType +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::IdentityReturnType MatrixBase::Identity() { EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived) @@ -716,18 +716,19 @@ template bool MatrixBase::isIdentity (const RealScalar& prec) const { + typename internal::nested_eval::type self(derived()); for(Index j = 0; j < cols(); ++j) { for(Index i = 0; i < rows(); ++i) { if(i == j) { - if(!internal::isApprox(this->coeff(i, j), static_cast(1), prec)) + if(!internal::isApprox(self.coeff(i, j), static_cast(1), prec)) return false; } else { - if(!internal::isMuchSmallerThan(this->coeff(i, j), static_cast(1), prec)) + if(!internal::isMuchSmallerThan(self.coeff(i, j), static_cast(1), prec)) return false; } } @@ -740,6 +741,7 @@ namespace internal { template=16)> struct setIdentity_impl { + EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Derived& run(Derived& m) { return m = Derived::Identity(m.rows(), m.cols()); @@ -749,11 +751,11 @@ struct setIdentity_impl template struct setIdentity_impl { - typedef typename Derived::Index Index; + EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Derived& run(Derived& m) { m.setZero(); - const Index size = (std::min)(m.rows(), m.cols()); + const Index size = numext::mini(m.rows(), m.cols()); for(Index i = 0; i < size; ++i) m.coeffRef(i,i) = typename Derived::Scalar(1); return m; } @@ -769,15 +771,15 @@ struct setIdentity_impl * \sa class CwiseNullaryOp, Identity(), Identity(Index,Index), isIdentity() */ template -EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity() { return internal::setIdentity_impl::run(derived()); } /** \brief Resizes to the given size, and writes the identity expression (not necessarily square) into *this. * - * \param nbRows the new number of rows - * \param nbCols the new number of columns + * \param rows the new number of rows + * \param cols the new number of columns * * Example: \include Matrix_setIdentity_int_int.cpp * Output: \verbinclude Matrix_setIdentity_int_int.out @@ -785,9 +787,9 @@ EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity() * \sa MatrixBase::setIdentity(), class CwiseNullaryOp, MatrixBase::Identity() */ template -EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity(Index nbRows, Index nbCols) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity(Index rows, Index cols) { - derived().resize(nbRows, nbCols); + derived().resize(rows, cols); return setIdentity(); } @@ -798,7 +800,7 @@ EIGEN_STRONG_INLINE Derived& MatrixBase::setIdentity(Index nbRows, Inde * \sa MatrixBase::Unit(Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::Unit(Index newSize, Index i) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::Unit(Index newSize, Index i) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) return BasisReturnType(SquareMatrixType::Identity(newSize,newSize), i); @@ -813,7 +815,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBa * \sa MatrixBase::Unit(Index,Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::Unit(Index i) +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::Unit(Index i) { EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) return BasisReturnType(SquareMatrixType::Identity(),i); @@ -826,7 +828,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBa * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitX() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitX() { return Derived::Unit(0); } /** \returns an expression of the Y axis unit vector (0,1{,0}^*) @@ -836,7 +838,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBa * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitY() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitY() { return Derived::Unit(1); } /** \returns an expression of the Z axis unit vector (0,0,1{,0}^*) @@ -846,7 +848,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBa * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitZ() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitZ() { return Derived::Unit(2); } /** \returns an expression of the W axis unit vector (0,0,0,1) @@ -856,7 +858,7 @@ EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBa * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW() */ template -EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitW() +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase::BasisReturnType MatrixBase::UnitW() { return Derived::Unit(3); } } // end namespace Eigen -- cgit v1.2.3