Computes a rank-2 update of a Hermitian matrix.
event her2(queue &exec_queue, uplo upper_lower, std::int64_t n, T alpha, const T *x, std::int64_t incx, const T *y, std::int64_t incy, T *a, std::int64_t lda, const vector_class<event> &dependencies = {});
The USM version of her2 supports the following precisions and devices.
T | Devices Supported |
---|---|
std::complex<float> | Host, CPU, and GPU |
std::complex<double> | Host, CPU, and GPU |
The her2 routines compute two scalar-vector-vector products and add them to a Hermitian matrix. The operation is defined as
A <- alpha*x*yH + conjg(alpha)*y*xH + A
where:
alpha is a scalar,
A is an n-by-n Hermitian matrix.
x and y are vectors or length n.
The queue where the routine should be executed.
Specifies whether A is upper or lower triangular. See Data Types for more details.
Number of columns of A. Must be at least zero.
Scaling factor for the matrix-vector product.
Pointer to input vector x. The array holding input vector x must be of size at least (1 + (n - 1)*abs(incx)). See Matrix and Vector Storage for more details.
Stride of vector x.
Pointer to input/output vector y. The array holding input/output vector y must be of size at least (1 + (n - 1)*abs(incy)). See Matrix and Vector Storage for more details.
Stride of vector y.
Pointer to input matrix A. The array holding input matrix A must have size at least lda*n. See Matrix and Vector Storage for more details.
Leading dimension of matrix A. Must be at least n, and positive.
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Pointer to the updated upper triangular part of the Hermitian matrix A if upper_lower = upper, or the updated lower triangular part of the Hermitian matrix A if upper_lower = lower.
The imaginary parts of the diagonal elements are set to zero.
Output event to wait on to ensure computation is complete.