#include <TensorFunctors.h>

Public Member Functions
EIGEN_DEVICE_FUNC	GaussianGenerator (const array< T, NumDims > &means, const array< T, NumDims > &std_devs)

EIGEN_DEVICE_FUNC T	operator() (const array< Index, NumDims > &coordinates) const

Static Public Attributes
static constexpr bool	PacketAccess = false

Private Attributes
array< T, NumDims >	m_means

array< T, NumDims >	m_two_sigmas

Constructor & Destructor Documentation

◆ GaussianGenerator()

template<typename T , typename Index , size_t NumDims>

EIGEN_DEVICE_FUNC Eigen::internal::GaussianGenerator< T, Index, NumDims >::GaussianGenerator	(	const array< T, NumDims > &	means,
		const array< T, NumDims > &	std_devs
	)

inline

       : m_means(means) {
     EIGEN_UNROLL_LOOP
     for (size_t i = 0; i < NumDims; ++i) {
       m_two_sigmas[i] = std_devs[i] * std_devs[i] * 2;
     }
   }

References EIGEN_UNROLL_LOOP, i, and Eigen::internal::GaussianGenerator< T, Index, NumDims >::m_two_sigmas.

Member Function Documentation

◆ operator()()

template<typename T , typename Index , size_t NumDims>

EIGEN_DEVICE_FUNC T Eigen::internal::GaussianGenerator< T, Index, NumDims >::operator() ( const array< Index, NumDims > & coordinates ) const

inline

                                                                                  {
     T tmp = T(0);
     EIGEN_UNROLL_LOOP
     for (size_t i = 0; i < NumDims; ++i) {
       T offset = coordinates[i] - m_means[i];
       tmp += offset * offset / m_two_sigmas[i];
     }
     return numext::exp(-tmp);
   }