GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-12 03:39:01 +08:00
Code Issues Packages Projects Releases Wiki Activity

Inlining fixes + fixed typo.

Browse Source 
Removed ei_assert in presence of static assert.
This commit is contained in:
Hauke Heibel 2009-10-15 21:07:14 +02:00
parent 1503043981
commit d177c1f3ac
2 changed files with 11 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
Eigen/src/Core/CwiseNullaryOp.h
View File

@ -147,7 +147,6 @@ EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, Derived>
MatrixBase<Derived>::NullaryExpr(int size, const CustomNullaryOp& func)
{
EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
ei_assert(IsVectorAtCompileTime);
if(RowsAtCompileTime == 1) return CwiseNullaryOp<CustomNullaryOp, Derived>(1, size, func);
else return CwiseNullaryOp<CustomNullaryOp, Derived>(size, 1, func);
}

12
Eigen/src/Core/Redux.h
View File

@ -112,6 +112,16 @@ struct ei_redux_novec_unroller<Func, Derived, Start, 1>
}
};
// This is actually dead code and will never be called. It is required
// to prevent false warnings regarding failed inlining though
// for 0 length run() will never be called at all.
template<typename Func, typename Derived, int Start>
struct ei_redux_novec_unroller<Func, Derived, Start, 0>
{
typedef typename Derived::Scalar Scalar;
EIGEN_STRONG_INLINE static Scalar run(const Derived&, const Func&) { return Scalar(); }
};
/*** vectorization ***/
template<typename Func, typename Derived, int Start, int Length>
@ -297,7 +307,7 @@ struct ei_redux_impl<Func, Derived, LinearVectorization, CompleteUnrolling>
/** \returns the result of a full redux operation on the whole matrix or vector using \a func
*
* The template parameter \a BinaryOp is the type of the functor \a func which must be
* an assiociative operator. Both current STL and TR1 functor styles are handled.
* an associative operator. Both current STL and TR1 functor styles are handled.
*
* \sa MatrixBase::sum(), MatrixBase::minCoeff(), MatrixBase::maxCoeff(), MatrixBase::colwise(), MatrixBase::rowwise()
*/