clue::FlatKernel Class Reference

The FlatKernel class implements a flat kernel for convolution. It returns a constant value for the kernel, regardless of the distance between points. More...

#include <ConvolutionalKernel.hpp>

Public Member Functions
	FlatKernel (float flat)
	Construct a FlatKernel object.
template<typename TAcc>
ALPAKA_FN_HOST_ACC float	operator() (const TAcc &, float, int point_id, int j) const
	Computes the kernel value between two points.

Detailed Description

The FlatKernel class implements a flat kernel for convolution. It returns a constant value for the kernel, regardless of the distance between points.

Constructor & Destructor Documentation

FlatKernel()

clue::FlatKernel::FlatKernel

(

float

flat

)

Construct a FlatKernel object.

Parameters

flat	The flat value for the kernel

Member Function Documentation

operator()()

template<typename TAcc>

ALPAKA_FN_HOST_ACC float clue::FlatKernel::operator()	(	const TAcc &	,
		float	,
		int	point_id,
		int	j ) const

Computes the kernel value between two points.

Parameters

acc	The accelerator to use for the computation
dist_ij	The distance between the two points
point_id	The index of the first point
j	The index of the second point

Returns

The computed kernel value

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The documentation for this class was generated from the following file:

• include/CLUEstering/core/ConvolutionalKernel.hpp