hipblaschbmvstridedbatched Interface Reference

hipblaschbmvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaschbmvstridedbatched Interface Reference
hipfort_hipblas::hipblaschbmvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblaschbmvstridedbatched_ (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschbmvstridedbatched_rank_0 (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschbmvstridedbatched_rank_1 (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschbmvstridedbatched_full_rank (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 

Detailed Description

BLAS Level 2 API.

The hbmvStridedBatched functions perform one of the matrix-vector operations:

y_i := alpha*A_i*x_i + beta*y_i

where alpha and beta are scalars, x_i and y_i are n -element vectors, and A_i is an n by n Hermitian band matrix with k super-diagonals, for each batch in i = [1, batchCount ].

  • Supported precisions in rocBLAS : c and z.
  • Supported precisions in cuBLAS : No support.
Parameters
[in]handle- [hipblasHandle_t] handle to the hipBLAS library context queue.
[in]uplo- [hipblasFillMode_t]
  • HIPBLAS_FILL_MODE_UPPER: The upper triangular part of each A_i is being supplied.
  • HIPBLAS_FILL_MODE_LOWER: The lower triangular part of each A_i is being supplied.
[in]n- [int] the order of each matrix A_i.
[in]k- [int] the number of super-diagonals of each matrix A_i. Must be >= 0.
[in]alpha- device pointer or host pointer to scalar alpha.
[in]AP- device array pointing to the first matrix A_1. Each A_i is of dimension (lda, n).
  • if uplo == HIPBLAS_FILL_MODE_UPPER: The leading (k + 1) by n part of each A_i must contain the upper triangular band part of the Hermitian matrix, with the leading diagonal in row (k + 1), the first super-diagonal on the RHS of row k, and so forth. The top left k by x triangle of each A_i will not be referenced. Ex (upper, lda = n = 4, k = 1): A -> Represented matrix (0,0) (5,9) (6,8) (7,7) -> (1, 0) (5, 9) (0, 0) (0, 0) (1,0) (2,0) (3,0) (4,0) -> (5,-9) (2, 0) (6, 8) (0, 0) (0,0) (0,0) (0,0) (0,0) -> (0, 0) (6,-8) (3, 0) (7, 7) (0,0) (0,0) (0,0) (0,0) -> (0, 0) (0, 0) (7,-7) (4, 0)
  • if uplo == HIPBLAS_FILL_MODE_LOWER: The leading (k + 1) by n part of each A_i must contain the lower triangular band part of the Hermitian matrix, with the leading diagonal in row (1), the first sub-diagonal on the LHS of row 2, and so forth. The bottom right k by k triangle of each A_i will not be referenced. Ex (lower, lda = 2, n = 4, k = 1): A Represented matrix (1,0) (2,0) (3,0) (4,0) -> (1, 0) (5,-9) (0, 0) (0, 0) (5,9) (6,8) (7,7) (0,0) -> (5, 9) (2, 0) (6,-8) (0, 0) -> (0, 0) (6, 8) (3, 0) (7,-7) -> (0, 0) (0, 0) (7, 7) (4, 0)
  • As a Hermitian matrix, the imaginary part of the main diagonal of each A_i will not be referenced and is assumed to be == 0.
[in]lda- [int] specifies the leading dimension of each A_i. Must be >= max(1, n).
[in]strideA- [hipblasStride] stride from the start of one matrix (A_i) to the next one (A_i+1).
[in]x- device array pointing to the first vector y_1.
[in]incx- [int] specifies the increment for the elements of each x_i.
[in]stridex- [hipblasStride] stride from the start of one vector (x_i) to the next one (x_i+1).
[in]beta- device pointer or host pointer to scalar beta.
[in,out]y- device array pointing to the first vector y_1.
[in]incy- [int] specifies the increment for the elements of y.
[in]stridey- [hipblasStride] stride from the start of one vector (y_i) to the next one (y_i+1).
[in]batchCount- [int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ hipblaschbmvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschbmvstridedbatched::hipblaschbmvstridedbatched_ ( type(c_ptr), value  handle,
integer(kind(hipblas_fill_mode_upper)), value  uplo,
integer(c_int), value  n,
integer(c_int), value  k,
complex(c_float_complex)  alpha,
type(c_ptr), value  ap,
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,
complex(c_float_complex)  beta,
type(c_ptr), value  y,
integer(c_int), value  incy,
integer(c_int64_t), value  stridey,
integer(c_int), value  batchcount 
)

◆ hipblaschbmvstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschbmvstridedbatched::hipblaschbmvstridedbatched_full_rank ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
integer(c_int)  k,
complex(c_float_complex)  alpha,
complex(c_float_complex), dimension(:,:), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_complex), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batchcount 
)

◆ hipblaschbmvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschbmvstridedbatched::hipblaschbmvstridedbatched_rank_0 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
integer(c_int)  k,
complex(c_float_complex)  alpha,
complex(c_float_complex), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_complex), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batchcount 
)

◆ hipblaschbmvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschbmvstridedbatched::hipblaschbmvstridedbatched_rank_1 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
integer(c_int)  k,
complex(c_float_complex)  alpha,
complex(c_float_complex), dimension(:), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_complex), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batchcount 
)

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