Kernels

Collaboration diagram for Kernels:

Functions
template<class __value_type , class __memory_space_type , class __memory_layout_type >
void	cuv::libs::kernels::pairwise_distance_l2 (tensor< __value_type, __memory_space_type, __memory_layout_type > &result, const tensor< __value_type, __memory_space_type, __memory_layout_type > &A, const tensor< __value_type, __memory_space_type, __memory_layout_type > &B, const bool &squared=false)
	determine pairwise distances between rows in argument matrices.
template<class __value_type , class __memory_space_type , class __memory_layout_type >
void	cuv::libs::kernels::pairwise_distance_custom (tensor< __value_type, __memory_space_type, __memory_layout_type > &result, const tensor< __value_type, __memory_space_type, __memory_layout_type > &A, const tensor< __value_type, __memory_space_type, __memory_layout_type > &B)
	more flexible implementation of
template<class __value_type , class __memory_space_type , class __memory_layout_type >
tensor< __value_type, __memory_space_type, __memory_layout_type >	cuv::libs::kernels::pairwise_distance_l2 (const tensor< __value_type, __memory_space_type, __memory_layout_type > &A, const tensor< __value_type, __memory_space_type, __memory_layout_type > &B, const bool &squared=false)
	determine pairwise distances between rows in argument matrices.

Detailed Description

Function Documentation

template<class __value_type , class __memory_space_type , class __memory_layout_type >

void cuv::libs::kernels::pairwise_distance_custom	(	tensor< __value_type, __memory_space_type, __memory_layout_type > &	result,
		const tensor< __value_type, __memory_space_type, __memory_layout_type > &	A,
		const tensor< __value_type, __memory_space_type, __memory_layout_type > &	B
	)

more flexible implementation of

See Also

pairwise_distance_l2.

Parameters

result	distance matrix (n_rows_A times n_rows_B)
A	first matrix (n_rows_A times K)
B	second matrix (n_rows_B times K)

template<class __value_type , class __memory_space_type , class __memory_layout_type >

void cuv::libs::kernels::pairwise_distance_l2	(	tensor< __value_type, __memory_space_type, __memory_layout_type > &	result,
		const tensor< __value_type, __memory_space_type, __memory_layout_type > &	A,
		const tensor< __value_type, __memory_space_type, __memory_layout_type > &	B,
		const bool &	squared = false
	)

determine pairwise distances between rows in argument matrices.

Parameters

result	distance matrix (n_rows_A times n_rows_B)
A	first matrix (n_rows_A times K)
B	second matrix (n_rows_B times K)
squared	if true, do not determine square root of the distance

template<class __value_type , class __memory_space_type , class __memory_layout_type >

tensor<__value_type,__memory_space_type,__memory_layout_type> cuv::libs::kernels::pairwise_distance_l2	(	const tensor< __value_type, __memory_space_type, __memory_layout_type > &	A,
		const tensor< __value_type, __memory_space_type, __memory_layout_type > &	B,
		const bool &	squared = false
	)

determine pairwise distances between rows in argument matrices.

Parameters

A	first matrix (n_rows_A times K)
B	second matrix (n_rows_B times K)
squared	if true, do not determine square root of the distance

Returns

distance matrix (n_rows_A times n_rows_B)

Definition at line 47 of file kernels.hpp.