hipblaszsymvstridedbatched Interface Reference#
hipfort_hipblas::hipblaszsymvstridedbatched Interface Reference
BLAS Level 2 API. More...
Public Member Functions | |
| integer(kind(hipblas_status_success)) function | hipblaszsymvstridedbatched_ (handle, uplo, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszsymvstridedbatched_full_rank (handle, uplo, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszsymvstridedbatched_rank_0 (handle, uplo, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszsymvstridedbatched_rank_1 (handle, uplo, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
Detailed Description
BLAS Level 2 API.
symvStridedBatched performs the matrix-vector operation:
y_i := alpha*A_i*x_i + beta*y_i,
where (A_i, x_i, y_i) is the i-th instance of the batch. alpha and beta are scalars, x_i and y_i are vectors and A_i is an n by n symmetric matrix, for i = 1, ..., batchCount. A a should contain an upper or lower triangular symmetric matrix and the opposing triangular part of A is not referenced
- Parameters
-
[in] handle [hipblasHandle_t] handle to the hipblas library context queue [in] uplo [hipblasFillMode_t] specifies whether the upper 'HIPBLAS_FILL_MODE_UPPER' or lower 'HIPBLAS_FILL_MODE_LOWER' if HIPBLAS_FILL_MODE_UPPER, the lower part of A is not referenced if HIPBLAS_FILL_MODE_LOWER, the upper part of A is not referenced [in] n [int] number of rows and columns of each matrix A_i [in] alpha device pointer or host pointer to scalar alpha [in] A Device pointer to the first matrix A_1 on the GPU [in] lda [int] specifies the leading dimension of each matrix A_i [in] strideA [hipblasStride] stride from the start of one matrix (A_i) and the next one (A_i+1) [in] x Device pointer to the first vector x_1 on the GPU [in] incx [int] specifies the increment for the elements of each vector x_i [in] stridex [hipblasStride] stride from the start of one vector (x_i) and the next one (x_i+1). There are no restrictions placed on stridex, however the user should take care to ensure that stridex is of appropriate size. This typically means stridex >= n * incx. stridex should be non zero. [in] beta device pointer or host pointer to scalar beta [out] y Device pointer to the first vector y_1 on the GPU [in] incy [int] specifies the increment for the elements of each vector y_i [in] stridey [hipblasStride] stride from the start of one vector (y_i) and the next one (y_i+1). There are no restrictions placed on stridey, however the user should take care to ensure that stridey is of appropriate size. This typically means stridey >= n * incy. stridey should be non zero. [in] batchCount [int] number of instances in the batch
Member Function/Subroutine Documentation
◆ hipblaszsymvstridedbatched_()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsymvstridedbatched::hipblaszsymvstridedbatched_ | ( | type(c_ptr), value | handle, |
| integer(kind(hipblas_fill_mode_upper)), value | uplo, | ||
| integer(c_int), value | n, | ||
| complex(c_double_complex) | alpha, | ||
| 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, | ||
| complex(c_double_complex) | beta, | ||
| type(c_ptr), value | y, | ||
| integer(c_int), value | incy, | ||
| integer(c_int64_t), value | stridey, | ||
| integer(c_int), value | batchCount | ||
| ) |
◆ hipblaszsymvstridedbatched_full_rank()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsymvstridedbatched::hipblaszsymvstridedbatched_full_rank | ( | type(c_ptr) | handle, |
| integer(kind(hipblas_fill_mode_upper)) | uplo, | ||
| integer(c_int) | n, | ||
| complex(c_double_complex) | alpha, | ||
| 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, | ||
| complex(c_double_complex) | beta, | ||
| complex(c_double_complex), dimension(:), target | y, | ||
| integer(c_int) | incy, | ||
| integer(c_int64_t) | stridey, | ||
| integer(c_int) | batchCount | ||
| ) |
◆ hipblaszsymvstridedbatched_rank_0()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsymvstridedbatched::hipblaszsymvstridedbatched_rank_0 | ( | type(c_ptr) | handle, |
| integer(kind(hipblas_fill_mode_upper)) | uplo, | ||
| integer(c_int) | n, | ||
| complex(c_double_complex) | alpha, | ||
| 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, | ||
| complex(c_double_complex) | beta, | ||
| complex(c_double_complex), target | y, | ||
| integer(c_int) | incy, | ||
| integer(c_int64_t) | stridey, | ||
| integer(c_int) | batchCount | ||
| ) |
◆ hipblaszsymvstridedbatched_rank_1()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszsymvstridedbatched::hipblaszsymvstridedbatched_rank_1 | ( | type(c_ptr) | handle, |
| integer(kind(hipblas_fill_mode_upper)) | uplo, | ||
| integer(c_int) | n, | ||
| complex(c_double_complex) | alpha, | ||
| 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, | ||
| complex(c_double_complex) | beta, | ||
| complex(c_double_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: