normal_distribution< RealType > Class Template Reference

• rocrand_cpp
• normal_distribution

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rocrand_cpp::normal_distribution< RealType > Class Template Reference

rocRAND host API C++ Wrapper

Produces random numbers according to a normal distribution. More...

#include <rocrand.hpp>

Classes
class	param_type
	The type of the distribution parameter set. More...

Public Types
typedef RealType	result_type
	See description for RealType template parameter.

Public Member Functions
	normal_distribution (RealType mean=0.0, RealType stddev=1.0)
	Constructs a new distribution object. More...
	normal_distribution (const param_type &params)
	Constructs a new distribution object. More...
RealType	mean () const
	Returns the mean distribution parameter. More...
RealType	stddev () const
	Returns the standard deviation distribution parameter. More...
param_type	param () const
	Returns the distribution parameter object.
void	param (const param_type &params)
	Sets the distribution parameter object.
template<class Generator >
void	operator() (Generator &g, RealType *output, size_t size)
	Fills output with normally distributed random floating-point values. More...
bool	operator== (const normal_distribution< RealType > &other) const
	Returns true if the distribution is the same as other. More...
bool	operator!= (const normal_distribution< RealType > &other) const
	Returns true if the distribution is different from other. More...

Static Public Member Functions
static void	reset ()
	Resets distribution's internal state if there is any.
static constexpr RealType	min ()
	Returns the smallest possible value that can be generated.
static constexpr RealType	max ()
	Returns the largest possible value that can be generated.

Detailed Description

template<class RealType = float>
class rocrand_cpp::normal_distribution< RealType >

Produces random numbers according to a normal distribution.

Template Parameters

RealType

- type of generated values. Only float, double and half types are supported.

Constructor & Destructor Documentation

◆ normal_distribution() [1/2]

template<class RealType = float>

rocrand_cpp::normal_distribution< RealType >::normal_distribution ( RealType  mean = 0.0, RealType  stddev = 1.0  )

inline

Constructs a new distribution object.

Parameters

mean	- A mean distribution parameter
stddev	- A standard deviation distribution parameter

◆ normal_distribution() [2/2]

template<class RealType = float>

rocrand_cpp::normal_distribution< RealType >::normal_distribution ( const param_type &  params )

inlineexplicit

Constructs a new distribution object.

Parameters

params

- Distribution parameters

Member Function Documentation

◆ mean()

template<class RealType = float>

RealType rocrand_cpp::normal_distribution< RealType >::mean ( ) const

inline

Returns the mean distribution parameter.

The mean specifies the location of the peak. The default value is 0.0.

◆ operator!=()

template<class RealType = float>

bool rocrand_cpp::normal_distribution< RealType >::operator!= ( const normal_distribution< RealType > &  other ) const

inline

Returns true if the distribution is different from other.

Two distribution are equal, if their parameters are equal.

◆ operator()()

template<class RealType = float>

template<class Generator >

void rocrand_cpp::normal_distribution< RealType >::operator() ( Generator &  g, RealType *  output, size_t  size  )

inline

Fills output with normally distributed random floating-point values.

Generates size random floating-point values distributed according to a normal distribution, and stores them into the device memory referenced by output pointer.

Parameters

g	- An uniform random number generator object
output	- Pointer to device memory to store results
size	- Number of values to generate

Requirements:

• The device memory pointed by output must have been previously allocated and be large enough to store at least size values of RealType type.
• Pointer output must be aligned to 2 * sizeof(RealType) bytes.
• size must be even.
• If generator g is a quasi-random number generator (rocrand_cpp::sobol32_engine), then size must be a multiple of that generator's dimension.

See also: rocrand_generate_normal(), rocrand_generate_normal_double(), rocrand_generate_normal_half()

◆ operator==()

template<class RealType = float>

bool rocrand_cpp::normal_distribution< RealType >::operator== ( const normal_distribution< RealType > &  other ) const

inline

Returns true if the distribution is the same as other.

Two distribution are equal, if their parameters are equal.

◆ stddev()

template<class RealType = float>

RealType rocrand_cpp::normal_distribution< RealType >::stddev ( ) const

inline

Returns the standard deviation distribution parameter.

The default value is 1.0.

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

• /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-rocrand/checkouts/docs-6.4.2/library/include/rocrand/rocrand.hpp