BLAS3 -- Matrix/Matrix operations

Functions
template<class V , class M , class L >
void	cuv::prod (tensor< V, M, L > &C, const tensor< V, M, L > &A, const tensor< V, M, L > &B, char transA='n', char transB='n', const float &factAB=1.f, const float &factC=0.f)
	Matrix multiplication and other BLAS3 functionality.
template<class V , class M , class L >
void	cuv::prod (tensor< V, M, L > &C, const tensor< V, M, L > &A, const tensor< V, M, typename other_memory_layout< L >::type > &B, const float &factAB=1.f, const float &factC=0.f)
template<class V , class M , class L >
void	cuv::prod (tensor< V, M, L > &C, const tensor< V, M, typename other_memory_layout< L >::type > &A, const tensor< V, M, L > &B, const float &factAB=1.f, const float &factC=0.f)
template<class V , class M , class L >
void	cuv::prod (tensor< V, M, L > &C, const dia_matrix< V, M > &A, const tensor< V, M, L > &B, char transA='n', char transB='n', const float &factAB=1.f, const float &factC=0.f)
template<class V , class M , class L >
void	cuv::transpose (tensor< V, M, L > &dst, const tensor< V, M, L > &src)
	Transpose a matrix.
template<class V , class T , class M >
cuv::tensor< V, T, typename other_memory_layout< M >::type > *	cuv::transposed_view_p (cuv::tensor< V, T, M > &src)
	Transpose a matrix by creating a view with different storage.
template<class V , class T , class M >
std::auto_ptr< cuv::tensor< V, T, typename other_memory_layout< M >::type > >	cuv::transposed_view (cuv::tensor< V, T, M > &src)
	As in.
template<class V , class T , class M >
const cuv::tensor< V, T, typename other_memory_layout < M >::type > *	cuv::transposed_view_p (const cuv::tensor< V, T, M > &src)
	Const variant of.
template<class V , class T , class M >
std::auto_ptr< const cuv::tensor< V, T, typename other_memory_layout< M >::type > >	cuv::transposed_view (const cuv::tensor< V, T, M > &src)
	As in.

Detailed Description

Function Documentation

template<class V , class M , class L >

void cuv::prod	(	tensor< V, M, L > &	C,
		const tensor< V, M, L > &	A,
		const tensor< V, M, L > &	B,
		char	transA = 'n',
		char	transB = 'n',
		const float &	factAB = 1.f,
		const float &	factC = 0.f
	)

Matrix multiplication and other BLAS3 functionality.

Parameters

C	Destination matrix
A	First matrix for product
B	Second matrix for product
transA	Whether to transpose A before calculating the matix product. Possible values 'n' for "do Not transpose" and 't' for "Transpose".
transB	Whether to transpose B befor calculating the matrix product. Possible values 'n' for "do Not transpose" and 't' for "Transpose".
factAB	Scalar factor to multiply the product of A and B with.
factC	Scalar factor to multiply former entries of C with.

Calculates C = factC * C + factAB * transA(A)*transB(B) Here transA(A) is the transpose of A if transA = 't' and transA(A) is A if transA = 'n'. The analogue is true for transB(B). In the above transA(A)*transB(B) is the matrix product and all other operations are pointwise. This is a thin wrapper of CUBLAS.

template<class V , class M , class L >

void cuv::prod	(	tensor< V, M, L > &	C,
		const tensor< V, M, L > &	A,
		const tensor< V, M, typename other_memory_layout< L >::type > &	B,
		const float &	factAB = 1.f,
		const float &	factC = 0.f
	)

See Also

prod

Definition at line 105 of file matrix_ops.hpp.

template<class V , class M , class L >

void cuv::prod	(	tensor< V, M, L > &	C,
		const tensor< V, M, typename other_memory_layout< L >::type > &	A,
		const tensor< V, M, L > &	B,
		const float &	factAB = 1.f,
		const float &	factC = 0.f
	)

See Also

prod

Definition at line 111 of file matrix_ops.hpp.

template<class V , class M , class L >

void cuv::prod	(	tensor< V, M, L > &	C,
		const dia_matrix< V, M > &	A,
		const tensor< V, M, L > &	B,
		char	transA = 'n',
		char	transB = 'n',
		const float &	factAB = 1.f,
		const float &	factC = 0.f
	)

See Also

prod

template<class V , class M , class L >

void cuv::transpose	(	tensor< V, M, L > &	dst,
		const tensor< V, M, L > &	src
	)

Transpose a matrix.

Parameters

dst	Destination matrix
src	Source matrix

template<class V , class T , class M >

std::auto_ptr<cuv::tensor<V,T,typename other_memory_layout<M>::type > > cuv::transposed_view

(

cuv::tensor< V, T, M > &

src

)

As in.

See Also

transposed_view_p, but here we return an auto_ptr for convenience

Definition at line 146 of file matrix_ops.hpp.

template<class V , class T , class M >

std::auto_ptr<const cuv::tensor<V,T,typename other_memory_layout<M>::type > > cuv::transposed_view

(

const cuv::tensor< V, T, M > &

src

)

As in.

See Also

transposed_view_p, but here we return an auto_ptr for convenience

Definition at line 156 of file matrix_ops.hpp.

template<class V , class T , class M >

cuv::tensor<V,T,typename other_memory_layout<M>::type >* cuv::transposed_view_p

(

cuv::tensor< V, T, M > &

src

)

Transpose a matrix by creating a view with different storage.

Parameters

src	Source matrix

Creates a row major view of a column major matrix or a column major view of a row major matrix. Does not actually modify the content of the memory.

Deprecated:

an assignment does not copy anymore, so use that instead.

template<class V , class T , class M >

const cuv::tensor<V,T,typename other_memory_layout<M>::type >* cuv::transposed_view_p

(

const cuv::tensor< V, T, M > &

src

)

Const variant of.

See Also

transposed_view_p