nrm2#

Computes the Euclidean norm of a vector.

Description

The nrm2 routines computes Euclidean norm of a vector

\[result = \| x\|\]

where:

x is a vector of n elements.

nrm2 supports the following precisions.

T

T_res

float

float

double

double

std::complex<float>

float

std::complex<double>

double

nrm2 (Buffer Version)#

Syntax

namespace oneapi::mkl::blas::column_major {
    void nrm2(sycl::queue &queue,
              std::int64_t n,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T_res,1> &result)
}
namespace oneapi::mkl::blas::row_major {
    void nrm2(sycl::queue &queue,
              std::int64_t n,
              sycl::buffer<T,1> &x,
              std::int64_t incx,
              sycl::buffer<T_res,1> &result)
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vector x.

x

Buffer holding input vector x. The buffer must be of size at least (1 + (n - 1)*abs(incx)). See Matrix Storage for more details.

incx

Stride of vector x.

Output Parameters

result

Buffer where the Euclidean norm of the vector x will be stored.

nrm2 (USM Version)#

Syntax

namespace oneapi::mkl::blas::column_major {
    sycl::event nrm2(sycl::queue &queue,
                     std::int64_t n,
                     const T *x,
                     std::int64_t incx,
                     T_res *result,
                     const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
    sycl::event nrm2(sycl::queue &queue,
                     std::int64_t n,
                     const T *x,
                     std::int64_t incx,
                     T_res *result,
                     const std::vector<sycl::event> &dependencies = {})
}

Input Parameters

queue

The queue where the routine should be executed.

n

Number of elements in vector x.

x

Pointer to input vector x. The array holding input vector x must be of size at least (1 + (n - 1)*abs(incx)). See Matrix Storage for more details.

incx

Stride of vector x.

dependencies

List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.

Output Parameters

result

Pointer to where the Euclidean norm of the vector x will be stored.

Return Values

Output event to wait on to ensure computation is complete.

Parent topic: BLAS Level 1 Routines