q_kernel.cl File Reference

Defines CUDA functions for generating the q vector. More...

Functions
__kernel void	device_kernel_q_linear (__global real_type *q, __global real_type *data_d, __global real_type *data_last, const kernel_index_type num_rows, const kernel_index_type feature_range)
	Calculates the q vector using the linear C-SVM kernel. More...
__kernel void	device_kernel_q_polynomial (__global real_type *q, __global real_type *data_d, __global real_type *data_last, const kernel_index_type num_rows, const kernel_index_type num_cols, const int degree, const real_type gamma, const real_type coef0)
	Calculates the q vector using the polynomial C-SVM kernel. More...
__kernel void	device_kernel_q_rbf (__global real_type *q, __global real_type *data_d, __global real_type *data_last, const kernel_index_type num_rows, const kernel_index_type num_cols, const real_type gamma)
	Calculates the q vector using the radial basis functions C-SVM kernel. More...

Detailed Description

Defines CUDA functions for generating the q vector.

Author

Alexander Van Craen

Marcel Breyer

Copyright

2018-today The PLSSVM project - All Rights Reserved

License

This file is part of the PLSSVM project which is released under the MIT license. See the LICENSE.md file in the project root for full license information.

Function Documentation

device_kernel_q_linear()

__kernel void device_kernel_q_linear	(	__global real_type *	q,
		__global real_type *	data_d,
		__global real_type *	data_last,
		const kernel_index_type	num_rows,
		const kernel_index_type	feature_range
	)

Calculates the q vector using the linear C-SVM kernel.

Supports multi-GPU execution.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data_d	the one-dimensional data matrix
[in]	data_last	the last row in the data matrix
[in]	num_rows	the number of rows in the data matrix
[in]	feature_range	number of features used for the calculation

device_kernel_q_polynomial()

__kernel void device_kernel_q_polynomial	(	__global real_type *	q,
		__global real_type *	data_d,
		__global real_type *	data_last,
		const kernel_index_type	num_rows,
		const kernel_index_type	num_cols,
		const int	degree,
		const real_type	gamma,
		const real_type	coef0
	)

Calculates the q vector using the polynomial C-SVM kernel.

Currently only single GPU execution is supported.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data_d	the one-dimensional data matrix
[in]	data_last	the last row in the data matrix
[in]	num_rows	the number of rows in the data matrix
[in]	num_cols	the number of columns in the data matrix
[in]	degree	the degree parameter used in the polynomial kernel function
[in]	gamma	the gamma parameter used in the polynomial kernel function
[in]	coef0	the coef0 parameter used in the polynomial kernel function

device_kernel_q_rbf()

__kernel void device_kernel_q_rbf	(	__global real_type *	q,
		__global real_type *	data_d,
		__global real_type *	data_last,
		const kernel_index_type	num_rows,
		const kernel_index_type	num_cols,
		const real_type	gamma
	)

Calculates the q vector using the radial basis functions C-SVM kernel.

Currently only single GPU execution is supported.

Template Parameters

real_type

the type of the data

Parameters

[out]	q	the calculated q vector
[in]	data_d	the one-dimensional data matrix
[in]	data_last	the last row in the data matrix
[in]	num_rows	the number of rows in the data matrix
[in]	num_cols	the number of columns in the data matrix
[in]	gamma	the gamma parameter used in the rbf kernel function