oneapi::mkl::rng::uniform (Discrete)¶
Generates random numbers uniformly distributed over the interval [a, b).
Description¶
The oneapi::mkl::rng::uniform class object is used in
oneapi::mkl::rng::generate functions to provide random numbers uniformly distributed over the interval [a, b), where a, b are the left and right bounds of the interval respectively, and a, b∈Z; a < b.
The probability distribution is given by:

The cumulative distribution function is as follows:

API¶
Syntax¶
template<typename Method>
class uniform<std::(u)int32_t, Method> {
public:
using method_type = Method;
using result_type = std::(u)int32_t;
uniform(): uniform((std::(u)int32_t )(0),
std::is_same<Method,
uniform_method::standard>::value ? (1 << 23)
:std::numeric_limits<Type>::max()){};
explicit uniform(std::(u)int32_t a, std::(u)int32_t b);
explicit uniform(const param_type& pt);
std::(u)int32_t a() const;
std::(u)int32_t b() const;
param_type param() const;
void param(const param_type& pt);
};
Devices supported: Host, CPU, and GPU.
Include Files¶
oneapi/mkl/rng.hpp
Template Parameters¶
|
Generation method. The specific values are as follows:
See brief descriptions of the methods in Distributions Template Parameter Method. |
Note
The oneapi::mkl::rng::uniform_method::standard uses the s BRNG type on GPU devices. This might cause the produced numbers to have incorrect statistics (due to rounding error) when
. To get proper statistics for this case, use the oneapi::mkl::rng::uniform_method::accurate method instead.
Input Parameters¶
Name |
Type |
Description |
|---|---|---|
|
|
Left bound |
|
|
Right bound |