nrm2

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 7/13/2023

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nrm2

Computes the Euclidean norm of a vector.

Description

The nrm2 routines compute Euclidean norm of a vector. The operation is defined as:

where:

x is a vector of n elements

nrm2 supports the following precisions:

T	Tres
`sycl::half`	`sycl::half`
`oneapi::mkl::bfloat16`	`oneapi::mkl::bfloat16`
`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<Tres,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<Tres,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. Size of the buffer must be 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 is 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,
                     Tres *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,
                     Tres *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. Size of the array holding input vector x must be 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 is stored.

Return Values

Output event to wait on to ensure computation is complete.

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oneMKL - Data Parallel C++ Developer Reference

nrm2

Description

nrm2 (Buffer Version)

nrm2 (USM Version)