hipblasztrmvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasztrmvstridedbatched Interface Reference
hipfort_hipblas::hipblasztrmvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

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

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

integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_rank_0 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_rank_1 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)

Detailed Description

BLAS Level 2 API.

trmvStridedBatched performs one of the matrix-vector operations

 x_i = A_i*x_i or x_i = A**T*x_i, 0 \le i < batchCount


where x_i is an n element vector and A_i is an n by n (unit, or non-unit, upper or lower triangular matrix) with strides specifying how to retrieve $x_i$ (resp. $A_i$) from $x_{i-1}$ (resp. $A_i$).

The vectors x_i are overwritten.

Parameters
 [in] handle [hipblasHandle_t] handle to the hipblas library context queue. [in] uplo [hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: A_i is an upper triangular matrix. HIPBLAS_FILL_MODE_LOWER: A_i is a lower triangular matrix. [in] transA [hipblasOperation_t] [in] diag [hipblasDiagType_t] HIPBLAS_DIAG_UNIT: A_i is assumed to be unit triangular. HIPBLAS_DIAG_NON_UNIT: A_i is not assumed to be unit triangular. [in] m [int] m specifies the number of rows of matrices A_i. m >= 0. [in] A device pointer of the matrix A_0, of dimension ( lda, m ) [in] lda [int] specifies the leading dimension of A_i. lda >= max( 1, m ). [in] strideA [hipblasStride] stride from the start of one A_i matrix to the next A_{i + 1} [in] x device pointer storing the vector x_0. [in] incx [int] specifies the increment for the elements of one vector x. [in] stridex [hipblasStride] stride from the start of one x_i vector to the next x_{i + 1} [in] batchCount [int] The number of batched matrices/vectors.

◆ hipblasztrmvstridedbatched_()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_ ( 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 )

◆ hipblasztrmvstridedbatched_full_rank()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_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 )

◆ hipblasztrmvstridedbatched_rank_0()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_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 )

◆ hipblasztrmvstridedbatched_rank_1()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_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: