BLAS2 -- Matrix/Vector operations

Collaboration diagram for BLAS2 -- Matrix/Vector operations:

Modules
	Reductions from matrix to row or column

Functions
template<class V , class M >
void	cuv::spmv (tensor< V, M > &dst, const dia_matrix< V, M > &A, const tensor< V, M > &v, char transA='n', const float &factAv=1.f, const float &factC=0.f)
	Calculates product of a sparse matrix and a vector.
template<class V , class V2 , class M , class L >
void	cuv::matrix_op_vec (tensor< V, M, L > &Dst, const tensor< V, M, L > &Src, const tensor< V2, M > &v, int axis, BinaryFunctor bf, float factNew=1.f, float factOld=0.f, int n_params=0, float param0=0.f, float param1=0.f)
	Apply a binary functor on one axis of a tensor and a n-1-dimensional tensor.
template<class V , class M , class L >
void	cuv::matrix_plus_col (tensor< V, M, L > &A, const tensor< V, M > &v)
	Add a vector to each column of a matrix A.
template<class V , class M , class L >
void	cuv::matrix_times_col (tensor< V, M, L > &A, const tensor< V, M > &v)
	Multiply each column of a matrix A pointwise with a vector v.
template<class V , class M , class L >
void	cuv::matrix_divide_col (tensor< V, M, L > &A, const tensor< V, M > &v)
	Devide each column of a matrix A pointwise by a vector v.
template<class V , class M , class L >
void	cuv::matrix_plus_row (tensor< V, M, L > &A, const tensor< V, M > &v)
	Add a vector to each row of a matrix A.
template<class V , class M , class L >
void	cuv::matrix_times_row (tensor< V, M, L > &A, const tensor< V, M > &v)
	Multiply each row of a matrix A pointwise with a vector v.
template<class V , class M , class L >
void	cuv::matrix_divide_row (tensor< V, M, L > &A, const tensor< V, M > &v)
	Devide each row of a matrix A pointwise by a vector v.

Detailed Description

Function Documentation

template<class V , class M , class L >

void cuv::matrix_divide_col	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Devide each column of a matrix A pointwise by a vector v.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class M , class L >

void cuv::matrix_divide_row	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Devide each row of a matrix A pointwise by a vector v.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class V2 , class M , class L >

void cuv::matrix_op_vec	(	tensor< V, M, L > &	Dst,
		const tensor< V, M, L > &	Src,
		const tensor< V2, M > &	v,
		int	axis,
		BinaryFunctor	bf,
		float	factNew = 1.f,
		float	factOld = 0.f,
		int	n_params = 0,
		float	param0 = 0.f,
		float	param1 = 0.f
	)

Apply a binary functor on one axis of a tensor and a n-1-dimensional tensor.

Parameters

Dst	Destination matrix, same shape as Src
Src	Source matrix
v	vector, v.size()=Src.size()/Src.shape(axis)
axis	axis of Src to work on. 0: v is row vector, 1: v is column vector, ...
bf	a binary functor applied to elements of a column of Src and v
n_params	number of optional params following
factNew	multiplier of op(Src,v)
factOld	multiplier of Dst
param0	first optional parameter
param1	second optional parameter

template<class V , class M , class L >

void cuv::matrix_plus_col	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Add a vector to each column of a matrix A.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class M , class L >

void cuv::matrix_plus_row	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Add a vector to each row of a matrix A.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class M , class L >

void cuv::matrix_times_col	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Multiply each column of a matrix A pointwise with a vector v.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class M , class L >

void cuv::matrix_times_row	(	tensor< V, M, L > &	A,
		const tensor< V, M > &	v
	)

Multiply each row of a matrix A pointwise with a vector v.

Parameters

A	Destination matrix
v	Vector, v.size()=A.h()

Deprecated:

template<class V , class M >

void cuv::spmv	(	tensor< V, M > &	dst,
		const dia_matrix< V, M > &	A,
		const tensor< V, M > &	v,
		char	transA = 'n',
		const float &	factAv = 1.f,
		const float &	factC = 0.f
	)

Calculates product of a sparse matrix and a vector.

Parameters

dst	Destination vector
A	Sparse matrix
v	Input vector
transA	Wether to transpose A before calculating the matrix product
factAv	Scalar factor for product of A and v
factC	Scalar factor for former value of C. Calculates: dst = factC * dst + factAv*(transA(A)*v)

Here transA(A) is the transpose of A if transA = 't' and transA(A) is A if transA = 'n'. transA(A)*v is the matrix-vector product and all other operations are pointwise.