hipblasztrsvstridedbatched Interface Reference

hipblasztrsvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasztrsvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions
integer(kind(hipblas_status_success)) function	hipblasztrsvstridedbatched_ (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

integer(kind(hipblas_status_success)) function	hipblasztrsvstridedbatched_full_rank (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

integer(kind(hipblas_status_success)) function	hipblasztrsvstridedbatched_rank_0 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

integer(kind(hipblas_status_success)) function	hipblasztrsvstridedbatched_rank_1 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

BLAS Level 2 API.

trsvStridedBatched solves

 A_i*x_i = b_i or A_i**T*x_i = b_i,

where (A_i, x_i, b_i) is the i-th instance of the batch. x_i and b_i are vectors and A_i is an m by m triangular matrix, for i = 1, ..., batchCount.

The vector x is overwritten on b.

Parameters

[in]	handle	[hipblasHandle_t] handle to the hipblas library context queue.
[in]	uplo	[hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: A is an upper triangular matrix. HIPBLAS_FILL_MODE_LOWER: A is a lower triangular matrix.
[in]	transA	[hipblasOperation_t]
[in]	diag	[hipblasDiagType_t] HIPBLAS_DIAG_UNIT: A is assumed to be unit triangular. HIPBLAS_DIAG_NON_UNIT: A is not assumed to be unit triangular.
[in]	m	[int] m specifies the number of rows of each b_i. m >= 0.
[in]	A	device pointer to the first matrix (A_1) in the batch, of dimension ( lda, m )
[in]	strideA	[hipblasStride] stride from the start of one A_i matrix to the next A_(i + 1)
[in]	lda	[int] specifies the leading dimension of each A_i. lda = max( 1, m ).
[in,out]	x	device pointer to the first vector (x_1) in the batch.
[in]	stridex	[hipblasStride] stride from the start of one x_i vector to the next x_(i + 1)
[in]	incx	[int] specifies the increment for the elements of each x_i.
[in]	batchCount	[int] number of instances in the batch

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrsvstridedbatched::hipblasztrsvstridedbatched_	(	type(c_ptr), value	handle,
		integer(kind(hipblas_fill_mode_upper)), value	uplo,
		integer(kind(hipblas_op_n)), value	transA,
		integer(kind(hipblas_diag_non_unit)), value	diag,
		integer(c_int), value	m,
		type(c_ptr), value	A,
		integer(c_int), value	lda,
		integer(c_int64_t), value	strideA,
		type(c_ptr), value	x,
		integer(c_int), value	incx,
		integer(c_int64_t), value	stridex,
		integer(c_int), value	batchCount
	)

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrsvstridedbatched::hipblasztrsvstridedbatched_full_rank	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(kind(hipblas_op_n))	transA,
		integer(kind(hipblas_diag_non_unit))	diag,
		integer(c_int)	m,
		complex(c_double_complex), dimension(:,:), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		integer(c_int)	batchCount
	)

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrsvstridedbatched::hipblasztrsvstridedbatched_rank_0	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(kind(hipblas_op_n))	transA,
		integer(kind(hipblas_diag_non_unit))	diag,
		integer(c_int)	m,
		complex(c_double_complex), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		integer(c_int)	batchCount
	)

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrsvstridedbatched::hipblasztrsvstridedbatched_rank_1	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(kind(hipblas_op_n))	transA,
		integer(kind(hipblas_diag_non_unit))	diag,
		integer(c_int)	m,
		complex(c_double_complex), dimension(:), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		integer(c_int)	batchCount
	)

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