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ba100998bf
* added a meta.cpp unit test * EIGEN_TUNE_FOR_L2_CACHE_SIZE now represents L2 block size in Bytes (whence the ei_meta_sqrt...) * added a CustomizeEigen.dox page * added a TOC to QuickStartGuide.dox
169 lines
5.8 KiB
C++
169 lines
5.8 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_MACROS_H
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#define EIGEN_MACROS_H
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#undef minor
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/** \internal Defines the maximal loop size to enable meta unrolling of loops */
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#ifndef EIGEN_UNROLLING_LIMIT
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#define EIGEN_UNROLLING_LIMIT 100
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#endif
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/** \internal Define the maximal size in Bytes of L2 blocks.
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* The current value is set to generate blocks of 256x256 for float */
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#ifndef EIGEN_TUNE_FOR_L2_CACHE_SIZE
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#define EIGEN_TUNE_FOR_L2_CACHE_SIZE (1024*256)
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#endif
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#define USING_PART_OF_NAMESPACE_EIGEN \
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EIGEN_USING_MATRIX_TYPEDEFS \
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using Eigen::Matrix; \
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using Eigen::MatrixBase; \
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using Eigen::ei_random; \
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using Eigen::ei_real; \
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using Eigen::ei_imag; \
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using Eigen::ei_conj; \
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using Eigen::ei_abs; \
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using Eigen::ei_abs2; \
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using Eigen::ei_sqrt; \
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using Eigen::ei_exp; \
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using Eigen::ei_log; \
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using Eigen::ei_sin; \
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using Eigen::ei_cos;
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#ifdef NDEBUG
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# ifndef EIGEN_NO_DEBUG
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# define EIGEN_NO_DEBUG
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# endif
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#endif
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#ifndef ei_assert
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#ifdef EIGEN_NO_DEBUG
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#define ei_assert(x)
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#else
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#define ei_assert(x) assert(x)
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#endif
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#endif
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#ifdef EIGEN_INTERNAL_DEBUGGING
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#define ei_internal_assert(x) ei_assert(x);
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#else
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#define ei_internal_assert(x)
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#endif
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#ifdef EIGEN_NO_DEBUG
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#define EIGEN_ONLY_USED_FOR_DEBUG(x) (void)x
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#else
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#define EIGEN_ONLY_USED_FOR_DEBUG(x)
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#endif
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// FIXME with the always_inline attribute,
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// gcc 3.4.x reports the following compilation error:
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// Eval.h:91: sorry, unimplemented: inlining failed in call to 'const Eigen::Eval<Derived> Eigen::MatrixBase<Scalar, Derived>::eval() const'
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// : function body not available
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#if EIGEN_GNUC_AT_LEAST(4,0)
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#define EIGEN_ALWAYS_INLINE __attribute__((always_inline)) inline
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#else
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#define EIGEN_ALWAYS_INLINE inline
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#endif
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#if (defined __GNUC__)
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#define EIGEN_DONT_INLINE __attribute__((noinline))
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#else
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#define EIGEN_DONT_INLINE
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#endif
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#if (defined __GNUC__)
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#define EIGEN_ALIGN_128 __attribute__ ((aligned(16)))
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#else
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#define EIGEN_ALIGN_128
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#endif
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#define EIGEN_RESTRICT __restrict
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#define EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename OtherDerived> \
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Derived& operator Op(const MatrixBase<OtherDerived>& other) \
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{ \
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return Eigen::MatrixBase<Derived>::operator Op(other.derived()); \
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} \
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Derived& operator Op(const Derived& other) \
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{ \
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return Eigen::MatrixBase<Derived>::operator Op(other); \
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}
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#define EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
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template<typename Other> \
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Derived& operator Op(const Other& scalar) \
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{ \
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return Eigen::MatrixBase<Derived>::operator Op(scalar); \
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}
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#define EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
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EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) \
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EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, +=) \
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EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Derived, -=) \
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EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, *=) \
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EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, /=)
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#define _EIGEN_GENERIC_PUBLIC_INTERFACE(Derived, BaseClass) \
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typedef BaseClass Base; \
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typedef typename Eigen::ei_traits<Derived>::Scalar Scalar; \
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typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; \
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typedef typename Base::PacketScalar PacketScalar; \
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typedef typename Eigen::ei_nested<Derived>::type Nested; \
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typedef typename Eigen::ei_eval<Derived>::type Eval; \
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enum { RowsAtCompileTime = Eigen::ei_traits<Derived>::RowsAtCompileTime, \
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ColsAtCompileTime = Eigen::ei_traits<Derived>::ColsAtCompileTime, \
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MaxRowsAtCompileTime = Eigen::ei_traits<Derived>::MaxRowsAtCompileTime, \
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MaxColsAtCompileTime = Eigen::ei_traits<Derived>::MaxColsAtCompileTime, \
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Flags = Eigen::ei_traits<Derived>::Flags, \
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CoeffReadCost = Eigen::ei_traits<Derived>::CoeffReadCost, \
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SizeAtCompileTime = Base::SizeAtCompileTime, \
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MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \
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IsVectorAtCompileTime = Base::IsVectorAtCompileTime };
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#define EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
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_EIGEN_GENERIC_PUBLIC_INTERFACE(Derived, Eigen::MatrixBase<Derived>)
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#define EIGEN_ENUM_MIN(a,b) (((int)a <= (int)b) ? (int)a : (int)b)
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#define EIGEN_ENUM_MAX(a,b) (((int)a >= (int)b) ? (int)a : (int)b)
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/* ei_alloc_stack(TYPE,SIZE) allocates sizeof(TYPE)*SIZE bytes on the stack if sizeof(TYPE)*SIZE is smaller
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* than EIGEN_STACK_ALLOCATION_LIMIT. Otherwise the memory is allocated using the operator new.
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* Data allocated with ei_alloc_stack must be freed calling ei_free_stack(PTR,TYPE,SIZE)
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*/
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#ifdef __linux__
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# define ei_alloc_stack(TYPE,SIZE) ((sizeof(TYPE)*(SIZE)>16000000) ? new TYPE[SIZE] : (TYPE*)alloca(sizeof(TYPE)*(SIZE)))
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# define ei_free_stack(PTR,TYPE,SIZE) if (sizeof(TYPE)*SIZE>16000000) delete[] PTR
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#else
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# define ei_alloc_stack(TYPE,SIZE) new TYPE[SIZE]
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# define ei_free_stack(PTR,TYPE,SIZE) delete[] PTR
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#endif
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#endif // EIGEN_MACROS_H
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