mshadow::Random< cpu, DType > Class Template Reference

CPU random number generator. More...

#include <random.h>

Collaboration diagram for mshadow::Random< cpu, DType >:

Public Member Functions
	Random (int seed)
	constructor of random engine More...
	~Random (void)
void	Seed (int seed)
	seed random number generator using this seed More...
unsigned	GetSeed () const
	get random seed used in random generator More...
void	set_stream (Stream< cpu > *stream)
	set the stream of computation More...
template<int dim>
expr::ReshapeExp< Tensor< cpu, 1, DType >, DType, dim, 1 >	gaussian (Shape< dim > shape)
	return a temporal expression storing standard gaussian random variables the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression More...
template<int dim>
expr::ReshapeExp< Tensor< cpu, 1, DType >, DType, dim, 1 >	uniform (Shape< dim > shape)
	return a temporal expression storing standard uniform [0,1) the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = uniform(s1) * uniform(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression More...
std::mt19937 &	GetRndEngine ()

Detailed Description

template<typename DType>
class mshadow::Random< cpu, DType >

CPU random number generator.

Constructor & Destructor Documentation

template<typename DType >

mshadow::Random< cpu, DType >::Random ( int  seed )

inlineexplicit

constructor of random engine

Parameters

seed	random number seed

template<typename DType >

mshadow::Random< cpu, DType >::~Random ( void  )

inline

Member Function Documentation

template<typename DType >

template<int dim>

expr::ReshapeExp<Tensor<cpu, 1, DType>, DType, dim, 1> mshadow::Random< cpu, DType >::gaussian ( Shape< dim >  shape )

inline

return a temporal expression storing standard gaussian random variables the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression

Parameters

shape

shape of the tensor

Returns

a temporal expression storing standard gaussian random variables

Template Parameters

dim	dimension of tensor

template<typename DType >

std::mt19937& mshadow::Random< cpu, DType >::GetRndEngine ( )

inline

template<typename DType >

unsigned mshadow::Random< cpu, DType >::GetSeed ( ) const

inline

get random seed used in random generator

Returns

seed in unsigned

template<typename DType >

void mshadow::Random< cpu, DType >::Seed ( int  seed )

inline

seed random number generator using this seed

Parameters

seed	seed of prng

template<typename DType >

void mshadow::Random< cpu, DType >::set_stream ( Stream< cpu > *  stream )

inline

set the stream of computation

Parameters

stream

computation stream

template<typename DType >

template<int dim>

expr::ReshapeExp<Tensor<cpu, 1, DType>, DType, dim, 1> mshadow::Random< cpu, DType >::uniform ( Shape< dim >  shape )

inline

return a temporal expression storing standard uniform [0,1) the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = uniform(s1) * uniform(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression

Parameters

shape

shape of the tensor

Returns

a temporal expression storing standard uniform [0,1)

Template Parameters

dim	dimension of tensor

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

• /work/mxnet/3rdparty/mshadow/mshadow/random.h