Random number generation

Functions
template<class V , class M , class T >
void	cuv::fill_rnd_uniform (tensor< V, M, T > &dst)
	Fill a matrix/vector with random numbers uniformly distributed between zero and one.
template<class V , class M , class T >
void	cuv::rnd_binarize (tensor< V, M, T > &dst)
	Binarize a matrix/vector to 1 or 0 with probability given by current values.
template<class V , class M , class T >
void	cuv::add_rnd_normal (tensor< V, M, T > &dst, const float &std=1.0f)
	Add random numbers (normally distributed, mean 0) to a matrix/vector.
void	cuv::initialize_mersenne_twister_seeds (unsigned int seed=0)
	Initialize Mersenne twister to generate random numbers on GPU.
void	cuv::deinit_rng (unsigned int seed=0)
	destruction counterpart to

Detailed Description

Function Documentation

template<class V , class M , class T >

void cuv::add_rnd_normal	(	tensor< V, M, T > &	dst,
		const float &	std = 1.0f
	)

Add random numbers (normally distributed, mean 0) to a matrix/vector.

Parameters

dst	Destination matrix/vector
std	Standard deviation of normal distribution used

void cuv::deinit_rng

(

unsigned int

seed = 0

)

destruction counterpart to

See Also

initialize_mersenne_twister_seeds

template<class V , class M , class T >

void cuv::fill_rnd_uniform

(

tensor< V, M, T > &

dst

)

Fill a matrix/vector with random numbers uniformly distributed between zero and one.

Parameters

dst	Destionation matrix/vector

void cuv::initialize_mersenne_twister_seeds

(

unsigned int

seed = 0

)

Initialize Mersenne twister to generate random numbers on GPU.

Parameters

seed	Seed for initialization

This function has to be called exactly once before making use of any random functions.

template<class V , class M , class T >

void cuv::rnd_binarize

(

tensor< V, M, T > &

dst

)

Binarize a matrix/vector to 1 or 0 with probability given by current values.

Parameters

dst	Destionation matrix/vector