cytnx::random Namespace Reference

Functions
void	Make_normal (Storage &Sin, const double &mean, const double &std, const unsigned int &seed=std::random_device()())
	Randomize the memory of a Storage with normal distributon.
void	Make_uniform (Storage &Sin, const double &low=0, const double &high=1, const unsigned int &seed=std::random_device()())
	Randomize the memory of a Storage with uniform distributon.
void	Make_normal (Tensor &Tin, const double &mean, const double &std, const unsigned int &seed=std::random_device()())
	Randomize the memory of a Tensor with normal distributon.
void	Make_uniform (Tensor &Tin, const double &low=0, const double &high=1, const unsigned int &seed=std::random_device()())
	Randomize the memory of a Tensor with uniform distributon.
void	Make_normal (UniTensor &Tin, const double &mean, const double &std, const unsigned int &seed=std::random_device()())
	Randomize the memory of a UniTensor with normal distributon.
void	Make_uniform (UniTensor &Tin, const double &low=0, const double &high=1, const unsigned int &seed=std::random_device()())
	Randomize the memory of a UniTensor with uniform distributon.
Tensor	normal (const cytnx_uint64 &Nelem, const double &mean, const double &std, const int &device=Device.cpu, const unsigned int &seed=std::random_device()())
	create an Tensor with all the elements are initialized with normal distribution
Tensor	normal (const std::vector< cytnx_uint64 > &Nelem, const double &mean, const double &std, const int &device=Device.cpu, const unsigned int &seed=std::random_device()())
	create an Tensor with all the elements are initialized with normal distribution
Tensor	uniform (const cytnx_uint64 &Nelem, const double &low, const double &high, const int &device=Device.cpu, const unsigned int &seed=std::random_device()())
	create an Tensor with all the elements are initialized with uniform distribution
Tensor	uniform (const std::vector< cytnx_uint64 > &Nelem, const double &low, const double &high, const int &device=Device.cpu, const unsigned int &seed=std::random_device()())
	create an Tensor with all the elements are initialized with uniform distribution

Function Documentation

Make_normal() [1/3]

void cytnx::random::Make_normal	(	Storage &	Sin,
		const double &	mean,
		const double &	std,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a Storage with normal distributon.

Parameters

Sin	a Storage
mean	the mean of a normal distribution
std	the standard deviation (sigma) of a normal distribution.
seed	the seed for the random generator. [Default] Using device entropy. [Note] The Storage sould be real floating type or complex type.

Make_normal() [2/3]

void cytnx::random::Make_normal	(	Tensor &	Tin,
		const double &	mean,
		const double &	std,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a Tensor with normal distributon.

Parameters

Tin	a Tensor
mean	the mean of a normal distribution
std	the standard deviation (sigma) of a normal distribution.
seed	the seed for the random generator. [Default] Using device entropy. [Note] The Tensor sould be real floating type or complex type.

Make_normal() [3/3]

void cytnx::random::Make_normal	(	UniTensor &	Tin,
		const double &	mean,
		const double &	std,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a UniTensor with normal distributon.

Parameters

Tin	a UniTensor
mean	the mean of a normal distribution
std	the standard deviation (sigma) of a normal distribution.
seed	the seed for the random generator. [Default] Using device entropy. [Note] The UniTensor sould be real floating type or complex type.

Make_uniform() [1/3]

void cytnx::random::Make_uniform	(	Storage &	Sin,
		const double &	low = 0,
		const double &	high = 1,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a Storage with uniform distributon.

Parameters

Sin	a Storage
low	the lower-bound of the uniform distribution
high	the higher-bound of the uniform distribution
seed	the seed for the random generator. [Default] Using device entropy. [Note] 1. The Storage sould be real floating type or complex type. 2. In cpu, it generate random number in domain [low,high); but in gpu(cuda), it generate random number in domain (low,high]; (cuRandv10)

Make_uniform() [2/3]

void cytnx::random::Make_uniform	(	Tensor &	Tin,
		const double &	low = 0,
		const double &	high = 1,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a Tensor with uniform distributon.

Parameters

Tin	a Tensor
low	the lower-bound of the uniform distribution
high	the higher-bound of the uniform distribution
seed	the seed for the random generator. [Default] Using device entropy. [Note] 1. The Tensor sould be real floating type or complex type. 2. In cpu, it generate random number in domain [low,high); but in gpu(cuda), it generate random number in domain (low,high]; (cuRandv10)

Make_uniform() [3/3]

void cytnx::random::Make_uniform	(	UniTensor &	Tin,
		const double &	low = 0,
		const double &	high = 1,
		const unsigned int &	seed = std::random_device()()
	)

Randomize the memory of a UniTensor with uniform distributon.

Parameters

Tin	a UniTensor
low	the lower-bound of the uniform distribution
high	the higher-bound of the uniform distribution
seed	the seed for the random generator. [Default] Using device entropy. [Note] 1. The UniTensor sould be real floating type or complex type. 2. In cpu, it generate random number in domain [low,high); but in gpu(cuda), it generate random number in domain (low,high]; (cuRandv10)

normal() [1/2]

Tensor cytnx::random::normal	(	const cytnx_uint64 &	Nelem,
		const double &	mean,
		const double &	std,
		const int &	device = Device.cpu,
		const unsigned int &	seed = std::random_device()()
	)

create an Tensor with all the elements are initialized with normal distribution

Parameters

Nelem	the number of elements
mean	the mean of the normal distribution
std	the standard deviation (sigma) of the normal distribution
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device
seed	the seed for the random generator. [Default] using device entropy

Returns

[Tensor]

normal() [2/2]

Tensor cytnx::random::normal	(	const std::vector< cytnx_uint64 > &	Nelem,
		const double &	mean,
		const double &	std,
		const int &	device = Device.cpu,
		const unsigned int &	seed = std::random_device()()
	)

create an Tensor with all the elements are initialized with normal distribution

Parameters

Nelem	the shape of the Tensor
mean	the mean of the normal distribution
std	the standard deviation (sigma) of the normal distribution
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device
seed	the seed for the random generator. [Default] using device entropy

Returns

[Tensor]

uniform() [1/2]

Tensor cytnx::random::uniform	(	const cytnx_uint64 &	Nelem,
		const double &	low,
		const double &	high,
		const int &	device = Device.cpu,
		const unsigned int &	seed = std::random_device()()
	)

create an Tensor with all the elements are initialized with uniform distribution

Parameters

Nelem	the number of elements
low	the lower-bound of range
high	the upper-bound of range
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device
seed	the seed for the random generator. [Default] using device entropy

Returns

[Tensor]

uniform() [2/2]

Tensor cytnx::random::uniform	(	const std::vector< cytnx_uint64 > &	Nelem,
		const double &	low,
		const double &	high,
		const int &	device = Device.cpu,
		const unsigned int &	seed = std::random_device()()
	)

create an Tensor with all the elements are initialized with uniform distribution

Parameters

Nelem	the number of elements
low	the lower-bound of range
high	the upper-bound of range
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device
seed	the seed for the random generator. [Default] using device entropy

Returns

[Tensor]