central_sum with provided mean#

Entry point to compute central sums up to the 4th order with the provided mean values.

Description and Assumptions

The oneapi::mkl::stats::central_sum function is used to compute an array of central sums up to the 4th order (central sums for each dataset’s dimension) with the provided mean values.

central_sum with provided mean supports the following precisions for data:

T

float

double

central_sum with provided mean (buffer version)#

Syntax

namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
    void central_sum(sycl::queue& queue,
    sycl::buffer<Type, 1> mean,
    const dataset<ObservationsLayout, sycl::buffer<Type, 1>>& data,
    sycl::buffer<Type, 1> central_sum_2,
    sycl::buffer<Type, 1> central_sum_3 = {0},
    sycl::buffer<Type, 1> central_sum_4 = {0});
}

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

central_sum_2

sycl::buffer array of 2nd order central sum values.

central_sum_3

Optional parameter. sycl::buffer array of 3rd order central sum values.

central_sum_4

Optional parameter. sycl::buffer array of 4th order central sum values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when central_sum_2.get_count() == 0 & central_sum_3.get_count() == 0 & central_sum_4.get_count() == 0, or mean.get_count() == 0, or dataset object is invalid

central_sum with provided mean (USM version)#

Syntax

namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
    sycl::event central_sum(sycl::queue& queue,
    Type* mean,
    const dataset<ObservationsLayout, Type*>& data,
    Type* central_sum_2,
    Type* central_sum_3 = nullptr,
    Type* central_sum_4 = nullptr,
    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

central_sum_2

Pointer to the array of the 2nd order central sum values.

central_sum_3

Optional parameter. Pointer to the array of the 3rd order central sum values.

central_sum_4

Optional parameter. Pointer to the array of the 2nd order central sum values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when central_sum_2 == nullptr & central_sum_3 == nullptr & central_sum_4 == 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