variation with provided mean

Entry point to compute variation with the provided mean values.

Description and Assumptions

The oneapi::mkl::stats::variation function is used to compute an array of variation (variation for each dataset’s dimension) with the provided mean values.

variation with provided mean supports the following precisions for data:

T
float
double

oneapi::mkl::stats::variation (buffer version)

Syntax

namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
    void variation(sycl::queue& queue, sycl::buffer<Type, 1> mean,
    const dataset<ObservationsLayout, sycl::buffer<Type, 1>>& data,
    sycl::buffer<Type, 1> variation);
}

Template Parameters

Method

Method which is used for estimate computation. The specific values are as follows:

• oneapi::mkl::stats::method::fast

Type

Data precision.

ObservationsLayout

Data layout. The specific values are described in dataset.

Input Parameters

queue

The queue where the routine should be executed.

mean

sycl::buffer to the array of provided mean values.

data

Dataset which is used for computation.

Output Parameters

variation

sycl::buffer array of variation values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when variation.get_count() == 0, or mean.get_count() == 0, or dataset object is invalid

variation with provided mean (USM version)

Syntax

namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
    sycl::event variation(sycl::queue& queue,
    Type* mean,
    const dataset<ObservationsLayout, Type*>& data,
    Type* variation,
    const std::vector<sycl::event> &dependencies = {});
}

Template Parameters

Method

Method which is used for estimate computation. The specific values are as follows:

• oneapi::mkl::stats::method::fast

Type

Data precision.

ObservationsLayout

Data layout. The specific values are described in dataset.

Input Parameters

queue

The queue where the routine should be executed.

mean

Pointer to the array of provided mean values.

data

Dataset which is used for computation.

dependencies

Optional parameter. List of events to wait for before starting computation, if any.

Output Parameters

variation

Pointer to the array of the variation values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when variation == nullptr, or mean == nullptr, or dataset object is invalid

Return Value

Output event to wait on to ensure computation is complete.

Parent topic: Summary Statistics Routines