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vectorize squaredNorm() for complex types

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This commit is contained in:
Charles Schlosser
2024-08-21 10:54:17 +00:00
committed by Rasmus Munk Larsen
parent 32d95bb097
commit 87239e058a
2 changed files with 35 additions and 1 deletions
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16
Eigen/src/Core/Dot.h
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@@ -41,6 +41,20 @@ struct dot_nocheck<T, U, true> {
}
};
template <typename Derived, typename Scalar = typename traits<Derived>::Scalar>
struct squared_norm_impl {
using Real = typename NumTraits<Scalar>::Real;
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Real run(const Derived& a) {
Scalar result = a.unaryExpr(squared_norm_functor<Scalar>()).sum();
return numext::real(result) + numext::imag(result);
}
};
template <typename Derived>
struct squared_norm_impl<Derived, bool> {
static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool run(const Derived& a) { return a.any(); }
};
} // end namespace internal
/** \fn MatrixBase::dot
@@ -85,7 +99,7 @@ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
template <typename Derived>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
MatrixBase<Derived>::squaredNorm() const {
return numext::real((*this).cwiseAbs2().sum());
return internal::squared_norm_impl<Derived>::run(derived());
}
/** \returns, for vectors, the \em l2 norm of \c *this, and for matrices the Frobenius norm.