Data Class Reference

#include <data.h>

Collaboration diagram for Data:

Public Member Functions
	~Data ()
void	load_data (Input &input, const int ndata, std::string *dir, const torch::Device device)
torch::Tensor	get_data (std::string parameter, const int ikernel)
void	loadTensor (std::string file, std::vector< long unsigned int > cshape, bool fortran_order, std::vector< double > &container, const int index, const int fftdim, torch::Tensor &data)
void	dumpTensor (const torch::Tensor &data, std::string filename, int nx)
std::string	file_name (std::string parameter, const int kernel_type, const double kernel_scaling)

Public Attributes
int	nx = 0
int	nx_tot = 0
torch::Tensor	rho
torch::Tensor	nablaRho
torch::Tensor	tau_lda
torch::Tensor	gamma
torch::Tensor	p
torch::Tensor	q
torch::Tensor	tanhp
torch::Tensor	tanhq
std::vector< torch::Tensor >	gammanl = {}
std::vector< torch::Tensor >	pnl = {}
std::vector< torch::Tensor >	qnl = {}
std::vector< torch::Tensor >	xi = {}
std::vector< torch::Tensor >	tanhxi = {}
std::vector< torch::Tensor >	tanhxi_nl = {}
std::vector< torch::Tensor >	tanh_pnl = {}
std::vector< torch::Tensor >	tanh_qnl = {}
std::vector< torch::Tensor >	tanhp_nl = {}
std::vector< torch::Tensor >	tanhq_nl = {}
torch::Tensor	enhancement
torch::Tensor	pauli
torch::Tensor	enhancement_mean
torch::Tensor	tau_mean
torch::Tensor	pauli_mean
bool	load_gamma = false
bool	load_p = false
bool	load_q = false
bool	load_tanhp = false
bool	load_tanhq = false
bool *	load_gammanl = nullptr
bool *	load_pnl = nullptr
bool *	load_qnl = nullptr
bool *	load_xi = nullptr
bool *	load_tanhxi = nullptr
bool *	load_tanhxi_nl = nullptr
bool *	load_tanh_pnl = nullptr
bool *	load_tanh_qnl = nullptr
bool *	load_tanhp_nl = nullptr
bool *	load_tanhq_nl = nullptr

Private Member Functions
void	init_label (Input &input)
void	init_data (const int nkernel, const int ndata, const int fftdim, const torch::Device device)
void	load_data_ (Input &input, const int ndata, const int fftdim, std::string *dir)

Private Attributes
const double	cTF = 3. /10. * std::pow(3. * std::pow(M_PI, 2.), 2. / 3.) * 2.
const double	cDirac = - 3. /4. * std::pow(3. / M_PI, 1./3.) * 2.
double	tau_exp = 5. / 3.

Constructor & Destructor Documentation

~Data()

Data::~Data

(

)

Member Function Documentation

dumpTensor()

void Data::dumpTensor	(	const torch::Tensor &	data,
		std::string	filename,
		int	nx
	)

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file_name()

std::string Data::file_name	(	std::string	parameter,
		const int	kernel_type,
		const double	kernel_scaling
	)

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get_data()

torch::Tensor Data::get_data	(	std::string	parameter,
		const int	ikernel
	)

init_data()

void Data::init_data ( const int  nkernel, const int  ndata, const int  fftdim, const torch::Device  device  )

private

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init_label()

void Data::init_label ( Input &  input )

private

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load_data()

void Data::load_data	(	Input &	input,
		const int	ndata,
		std::string *	dir,
		const torch::Device	device
	)

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load_data_()

void Data::load_data_ ( Input &  input, const int  ndata, const int  fftdim, std::string *  dir  )

private

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loadTensor()

void Data::loadTensor	(	std::string	file,
		std::vector< long unsigned int >	cshape,
		bool	fortran_order,
		std::vector< double > &	container,
		const int	index,
		const int	fftdim,
		torch::Tensor &	data
	)

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Member Data Documentation

cDirac

const double Data::cDirac = - 3. /4. * std::pow(3. / M_PI, 1./3.) * 2.

private

cTF

const double Data::cTF = 3. /10. * std::pow(3. * std::pow(M_PI, 2.), 2. / 3.) * 2.

private

enhancement

torch::Tensor Data::enhancement

enhancement_mean

torch::Tensor Data::enhancement_mean

gamma

torch::Tensor Data::gamma

gammanl

std::vector<torch::Tensor> Data::gammanl = {}

load_gamma

bool Data::load_gamma = false

load_gammanl

bool* Data::load_gammanl = nullptr

load_p

bool Data::load_p = false

load_pnl

bool* Data::load_pnl = nullptr

load_q

bool Data::load_q = false

load_qnl

bool* Data::load_qnl = nullptr

load_tanh_pnl

bool* Data::load_tanh_pnl = nullptr

load_tanh_qnl

bool* Data::load_tanh_qnl = nullptr

load_tanhp

bool Data::load_tanhp = false

load_tanhp_nl

bool* Data::load_tanhp_nl = nullptr

load_tanhq

bool Data::load_tanhq = false

load_tanhq_nl

bool* Data::load_tanhq_nl = nullptr

load_tanhxi

bool* Data::load_tanhxi = nullptr

load_tanhxi_nl

bool* Data::load_tanhxi_nl = nullptr

load_xi

bool* Data::load_xi = nullptr

nablaRho

torch::Tensor Data::nablaRho

nx

int Data::nx = 0

nx_tot

int Data::nx_tot = 0

p

torch::Tensor Data::p

pauli

torch::Tensor Data::pauli

pauli_mean

torch::Tensor Data::pauli_mean

pnl

std::vector<torch::Tensor> Data::pnl = {}

q

torch::Tensor Data::q

qnl

std::vector<torch::Tensor> Data::qnl = {}

rho

torch::Tensor Data::rho

tanh_pnl

std::vector<torch::Tensor> Data::tanh_pnl = {}

tanh_qnl

std::vector<torch::Tensor> Data::tanh_qnl = {}

tanhp

torch::Tensor Data::tanhp

tanhp_nl

std::vector<torch::Tensor> Data::tanhp_nl = {}

tanhq

torch::Tensor Data::tanhq

tanhq_nl

std::vector<torch::Tensor> Data::tanhq_nl = {}

tanhxi

std::vector<torch::Tensor> Data::tanhxi = {}

tanhxi_nl

std::vector<torch::Tensor> Data::tanhxi_nl = {}

tau_exp

double Data::tau_exp = 5. / 3.

private

tau_lda

torch::Tensor Data::tau_lda

tau_mean

torch::Tensor Data::tau_mean

xi

std::vector<torch::Tensor> Data::xi = {}

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

• /home/runner/work/abacus-develop/abacus-develop/source/source_pw/module_ofdft/ml_tools/data.h
• /home/runner/work/abacus-develop/abacus-develop/source/source_pw/module_ofdft/ml_tools/data.cpp