rocsolver_spotf2_batched Interface Reference

rocsolver_spotf2_batched Interface Reference#

HIPFORT API Reference: hipfort_rocsolver::rocsolver_spotf2_batched Interface Reference

POTF2_BATCHED computes the Cholesky factorization of a batch of real symmetric (complex Hermitian) positive definite matrices. More...

Public Member Functions
integer(kind(rocblas_status_success)) function	rocsolver_spotf2_batched_ (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_spotf2_batched_full_rank (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_spotf2_batched_rank_0 (handle, uplo, n, A, lda, myInfo, batch_count)

integer(kind(rocblas_status_success)) function	rocsolver_spotf2_batched_rank_1 (handle, uplo, n, A, lda, myInfo, batch_count)

POTF2_BATCHED computes the Cholesky factorization of a batch of real symmetric (complex Hermitian) positive definite matrices.

(This is the unblocked version of the algorithm).

The factorization of matrix \(A_i\) in the batch has the form:

\[ \begin{array}{cl} A_i = U_i'U_i & \: \text{if uplo is upper, or}\newline A_i = L_iL_i' & \: \text{if uplo is lower.} \end{array} \]

\(U_i\) is an upper triangular matrix and \(L_i\) is lower triangular.

Parameters

[in]	handle	rocblas_handle.
[in]	uplo	rocblas_fill. Specifies whether the factorization is upper or lower triangular. If uplo indicates lower (or upper), then the upper (or lower) part of A is not used.
[in]	n	rocblas_int. n >= 0. The number of rows and columns of matrix A_i.
[in,out]	A	array of pointers to type. Each pointer points to an array on the GPU of dimension lda*n. On entry, the matrices A_i to be factored. On exit, the upper or lower triangular factors.
[in]	lda	rocblas_int. lda >= n. specifies the leading dimension of A_i.
[out]	info	pointer to rocblas_int. Array of batch_count integers on the GPU. If info[i] = 0, successful factorization of matrix A_i. If info[i] = j > 0, the leading minor of order j of A_i is not positive definite. The i-th factorization stopped at this point.
[in]	batch_count	rocblas_int. batch_count >= 0. Number of matrices in the batch.

integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_batched_	(	type(c_ptr), value	handle,
		integer(kind(rocblas_fill_upper)), value	uplo,
		integer(c_int), value	n,
		type(c_ptr)	A,
		integer(c_int), value	lda,
		integer(c_int)	myInfo,
		integer(c_int), value	batch_count
	)

integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_batched_full_rank	(	type(c_ptr)	handle,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	n,
		real(c_float), dimension(:,:,:), target	A,
		integer(c_int)	lda,
		integer(c_int)	myInfo,
		integer(c_int)	batch_count
	)

integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_batched_rank_0	(	type(c_ptr)	handle,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	n,
		real(c_float), target	A,
		integer(c_int)	lda,
		integer(c_int)	myInfo,
		integer(c_int)	batch_count
	)

integer(kind(rocblas_status_success)) function hipfort_rocsolver::rocsolver_spotf2_batched::rocsolver_spotf2_batched_rank_1	(	type(c_ptr)	handle,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	n,
		real(c_float), dimension(:), target	A,
		integer(c_int)	lda,
		integer(c_int)	myInfo,
		integer(c_int)	batch_count
	)

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