hipblasdznrm2stridedbatched Interface Reference

hipblasdznrm2stridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasdznrm2stridedbatched Interface Reference

BLAS Level 1 API. More...

Public Member Functions
integer(kind(hipblas_status_success)) function	hipblasdznrm2stridedbatched_ (handle, n, x, incx, stridex, batchCount, myResult)

integer(kind(hipblas_status_success)) function	hipblasdznrm2stridedbatched_rank_0 (handle, n, x, incx, stridex, batchCount, myResult)

integer(kind(hipblas_status_success)) function	hipblasdznrm2stridedbatched_rank_1 (handle, n, x, incx, stridex, batchCount, myResult)

BLAS Level 1 API.

nrm2StridedBatched computes the euclidean norm over a batch of real or complex vectors

      := sqrt( x_i'*x_i ) for real vectors x, for i = 1, ..., batchCount
      := sqrt( x_i**H*x_i ) for complex vectors, for i = 1, ..., batchCount

Parameters

[in]	handle	[hipblasHandle_t] handle to the hipblas library context queue.
[in]	n	[int] number of elements in each x_i.
[in]	x	device pointer to the first vector x_1.
[in]	incx	[int] specifies the increment for the elements of each x_i. incx must be > 0.
[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 stride_x, however the user should take care to ensure that stride_x is of appropriate size, for a typical case this means stride_x >= n * incx.
[in]	batchCount	[int] number of instances in the batch
[out]	result	device pointer or host pointer to array for storing contiguous batch_count results. return is 0.0 for each element if n <= 0, incx<=0.

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasdznrm2stridedbatched::hipblasdznrm2stridedbatched_	(	type(c_ptr), value	handle,
		integer(c_int), value	n,
		type(c_ptr), value	x,
		integer(c_int), value	incx,
		integer(c_int64_t), value	stridex,
		integer(c_int), value	batchCount,
		type(c_ptr), value	myResult
	)

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasdznrm2stridedbatched::hipblasdznrm2stridedbatched_rank_0	(	type(c_ptr)	handle,
		integer(c_int)	n,
		complex(c_double_complex), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		integer(c_int)	batchCount,
		type(c_ptr)	myResult
	)

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasdznrm2stridedbatched::hipblasdznrm2stridedbatched_rank_1	(	type(c_ptr)	handle,
		integer(c_int)	n,
		complex(c_double_complex), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		integer(c_int)	batchCount,
		type(c_ptr)	myResult
	)

The documentation for this interface was generated from the following file: