mshadow::Random< cpu > Class Template Reference

CPU random number generator. More...

#include <tensor_random.h>

Public Member Functions
	Random (int seed)
	constructor of random engine More...
void	Seed (int seed)
	seed random number generator using this seed More...
template<int dim>
void	SampleUniform (Tensor< cpu, dim > &dst, real_t a=0.0f, real_t b=1.0f)
	generate data from uniform [a,b) More...
template<int dim>
void	SampleGaussian (Tensor< cpu, dim > &dst, real_t mu=0.0f, real_t sigma=1.0f)
	generate data from standard gaussian More...
template<int dim>
expr::ReshapeExp< Tensor< cpu, 1 > , 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 > , 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 = 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...

Detailed Description

template<>
class mshadow::Random< cpu >

CPU random number generator.

Constructor & Destructor Documentation

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

inline

constructor of random engine

Parameters

seed	random number seed

Member Function Documentation

template<int dim>

expr::ReshapeExp<Tensor<cpu,1>,dim,1> mshadow::Random< cpu >::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

Template Parameters

dim	dimension of tensor

template<int dim>

void mshadow::Random< cpu >::SampleGaussian ( Tensor< cpu, dim > &  dst, real_t  mu = 0.0f, real_t  sigma = 1.0f  )

inline

generate data from standard gaussian

Parameters

dst	destination
mu	mean variable
sigma	standard deviation

Template Parameters

dim	dimension of tensor

template<int dim>

void mshadow::Random< cpu >::SampleUniform ( Tensor< cpu, dim > &  dst, real_t  a = 0.0f, real_t  b = 1.0f  )

inline

generate data from uniform [a,b)

Parameters

dst	destination
a	lower bound of uniform
b	upper bound of uniform

Template Parameters

dim	dimension of tensor

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

inline

seed random number generator using this seed

Parameters

seed	seed of prng

template<int dim>

expr::ReshapeExp<Tensor<cpu,1>,dim,1> mshadow::Random< cpu >::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 = 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

Template Parameters

dim	dimension of tensor

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

• /home/wangwei/program/asf/incubator-singa/include/mshadow/tensor_random.h