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* enable vectorization of sin, cos, etc. by default with an option to

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disable them (-DEIGEN_FAST_MATH=0)
* add a specialization of MatrixBase::operator*(RealScalar) for fast
  "matrix of complex" times scalar products (even more useful for
  autodiff scalar types)
This commit is contained in:
Gael Guennebaud
2009-03-26 12:50:24 +00:00
parent 62de40f8bb
commit ce5669dbf9
8 changed files with 92 additions and 11 deletions
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2
Eigen/src/Core/util/ForwardDeclarations.h
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@@ -90,6 +90,8 @@ template<typename Scalar> struct ei_scalar_add_op;
template<typename Scalar> struct ei_scalar_constant_op;
template<typename Scalar> struct ei_scalar_identity_op;
template<typename Scalar1,typename Scalar2> struct ei_scalar_multiple2_op;
struct IOFormat;
template<typename Scalar>

17
Eigen/src/Core/util/Macros.h
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@@ -60,15 +60,15 @@
#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION ColMajor
#endif
/** \internal Defines the maximal loop size to enable meta unrolling of loops.
* Note that the value here is expressed in Eigen's own notion of "number of FLOPS",
* it does not correspond to the number of iterations or the number of instructions
/** Defines the maximal loop size to enable meta unrolling of loops.
* Note that the value here is expressed in Eigen's own notion of "number of FLOPS",
* it does not correspond to the number of iterations or the number of instructions
*/
#ifndef EIGEN_UNROLLING_LIMIT
#define EIGEN_UNROLLING_LIMIT 100
#endif
/** \internal Define the maximal size in Bytes of blocks fitting in CPU cache.
/** Defines the maximal size in Bytes of blocks fitting in CPU cache.
* The current value is set to generate blocks of 256x256 for float
*
* Typically for a single-threaded application you would set that to 25% of the size of your CPU caches in bytes
@@ -82,6 +82,15 @@
#error EIGEN_TUNE_FOR_L2_CACHE_SIZE is now called EIGEN_TUNE_FOR_CPU_CACHE_SIZE.
#endif
/** Allows to disable some optimizations which might affect the accuracy of the result.
* Such optimization are enabled by default, and set EIGEN_FAST_MATH to 0 to disable them.
* They currently include:
* - single precision Cwise::sin() and Cwise::cos() when SSE vectorization is enabled.
*/
#ifndef EIGEN_FAST_MATH
#define EIGEN_FAST_MATH 1
#endif
#define USING_PART_OF_NAMESPACE_EIGEN \
EIGEN_USING_MATRIX_TYPEDEFS \
using Eigen::Matrix; \

8
Eigen/src/Core/util/Meta.h
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@@ -64,6 +64,14 @@ template<typename T> struct ei_cleantype<T&> { typedef typename ei_cleant
template<typename T> struct ei_cleantype<const T*> { typedef typename ei_cleantype<T>::type type; };
template<typename T> struct ei_cleantype<T*> { typedef typename ei_cleantype<T>::type type; };
/** \internal Allows to enable/disable an overload
* according to a compile time condition.
*/
template<bool Condition, typename T> struct ei_enable_if;
template<typename T> struct ei_enable_if<true,T>
{ typedef T type; };
/** \internal
* Convenient struct to get the result type of a unary or binary functor.
*

22
Eigen/src/Core/util/XprHelper.h
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@@ -198,6 +198,28 @@ template<unsigned int Flags> struct ei_are_flags_consistent
};
};
/** \internal Helper base class to add a scalar multiple operator
* overloads for complex types */
template<typename Derived,typename Scalar,typename OtherScalar,
bool EnableIt = !ei_is_same_type<Scalar,OtherScalar>::ret >
struct ei_special_scalar_op_base
{
// dummy operator* so that the
// "using ei_special_scalar_op_base::operator*" compiles
void operator*() const;
};
template<typename Derived,typename Scalar,typename OtherScalar>
struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true>
{
const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
operator*(const OtherScalar& scalar) const
{
return CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
(*static_cast<const Derived*>(this), ei_scalar_multiple2_op<Scalar,OtherScalar>(scalar));
}
};
/** \internal Gives the type of a sub-matrix or sub-vector of a matrix of type \a ExpressionType and size \a Size
* TODO: could be a good idea to define a big ReturnType struct ??
*/