iganet::Options< real_t > Class Template Reference

The Options class handles the automated determination of dtype from the template argument and the selection of the device. More...

#include </home/runner/work/iganet/iganet/include/options.hpp>

Inheritance diagram for iganet::Options< real_t >:

Public Types
using	value_type = real_t
	Data type.

Public Member Functions
	Options ()
	Default constructor.
	Options (torch::TensorOptions &&options)
	Constructor from torch::TensorOptions.
torch::Device	device () const noexcept
	Returns the device property.
Options< real_t >	device (torch::Device device) const noexcept
	Returns a new Options object with the device property as given.
int32_t	device_index () const noexcept
	Returns the device_index property.
Options< real_t >	device_index (int16_t device_index) const noexcept
	Returns a new Options object with the device_index property as given.
torch::Dtype	dtype () const noexcept
	Returns the dtype property.
template<typename other_t >
Options< other_t >	dtype () const noexcept
	Returns a new Options object with the dtype property as given.
bool	is_sparse () const noexcept
	Returns if the layout is sparse.
torch::Layout	layout () const noexcept
	Returns the layout property.
Options< real_t >	layout (torch::Layout layout) const noexcept
	Returns a new Options object with the layout property as given.
Options< real_t >	memory_format (torch::MemoryFormat memory_format) const noexcept
	Returns a new Options object with the memory_format property as given.
	operator torch::TensorOptions () const
	Implicit conversion operator.
bool	pinned_memory () const noexcept
	Returns the pinned_memory property.
Options< real_t >	pinned_memory (bool pinned_memory) const noexcept
	Returns a new Options object with the pinned_memory property as given.
virtual void	pretty_print (std::ostream &os=Log(log::info)) const noexcept override
	Returns a string representation of the Options object.
bool	requires_grad () const noexcept
	Returns the requires_grad property.
Options< real_t >	requires_grad (bool requires_grad) const noexcept
	Returns a new Options object with the requires_grad property as given.

Private Attributes
const torch::TensorOptions	options_
	Tensor options.
Private Attributes inherited from iganet::utils::FullQualifiedName
at::optional< std::string >	name_
	String storing the full qualified name of the object.

Additional Inherited Members
Private Member Functions inherited from iganet::utils::FullQualifiedName
virtual const std::string &	name () const noexcept
	Returns the full qualified name of the object.

Detailed Description

template<typename real_t>
class iganet::Options< real_t >

The Options class handles the automated determination of dtype from the template argument and the selection of the device.

Template Parameters

real_t

Type of real-valued data

Member Typedef Documentation

value_type

template<typename real_t >

using iganet::Options< real_t >::value_type = real_t

Data type.

Constructor & Destructor Documentation

Options() [1/2]

template<typename real_t >

iganet::Options< real_t >::Options ( )

inline

Default constructor.

Options() [2/2]

template<typename real_t >

iganet::Options< real_t >::Options ( torch::TensorOptions< real_t > &&  options )

inlineexplicit

Constructor from torch::TensorOptions.

Member Function Documentation

device() [1/2]

template<typename real_t >

torch::Device iganet::Options< real_t >::device ( ) const

inlinenoexcept

Returns the device property.

device() [2/2]

template<typename real_t >

Options< real_t > iganet::Options< real_t >::device ( torch::Device  device ) const

inlinenoexcept

Returns a new Options object with the device property as given.

device_index() [1/2]

template<typename real_t >

int32_t iganet::Options< real_t >::device_index ( ) const

inlinenoexcept

Returns the device_index property.

device_index() [2/2]

template<typename real_t >

Options< real_t > iganet::Options< real_t >::device_index ( int16_t  device_index ) const

inlinenoexcept

Returns a new Options object with the device_index property as given.

dtype() [1/2]

template<typename real_t >

torch::Dtype iganet::Options< real_t >::dtype ( ) const

inlinenoexcept

Returns the dtype property.

dtype() [2/2]

template<typename real_t >

template<typename other_t >

Options< other_t > iganet::Options< real_t >::dtype ( ) const

inlinenoexcept

Returns a new Options object with the dtype property as given.

is_sparse()

template<typename real_t >

bool iganet::Options< real_t >::is_sparse ( ) const

inlinenoexcept

Returns if the layout is sparse.

layout() [1/2]

template<typename real_t >

torch::Layout iganet::Options< real_t >::layout ( ) const

inlinenoexcept

Returns the layout property.

layout() [2/2]

template<typename real_t >

Options< real_t > iganet::Options< real_t >::layout ( torch::Layout  layout ) const

inlinenoexcept

Returns a new Options object with the layout property as given.

memory_format()

template<typename real_t >

Options< real_t > iganet::Options< real_t >::memory_format ( torch::MemoryFormat  memory_format ) const

inlinenoexcept

Returns a new Options object with the memory_format property as given.

operator torch::TensorOptions()

template<typename real_t >

iganet::Options< real_t >::operator torch::TensorOptions ( ) const

inline

Implicit conversion operator.

pinned_memory() [1/2]

template<typename real_t >

bool iganet::Options< real_t >::pinned_memory ( ) const

inlinenoexcept

Returns the pinned_memory property.

pinned_memory() [2/2]

template<typename real_t >

Options< real_t > iganet::Options< real_t >::pinned_memory ( bool  pinned_memory ) const

inlinenoexcept

Returns a new Options object with the pinned_memory property as given.

pretty_print()

template<typename real_t >

virtual void iganet::Options< real_t >::pretty_print ( std::ostream &  os = Log(log::info) ) const

inlineoverridevirtualnoexcept

Returns a string representation of the Options object.

Implements iganet::utils::FullQualifiedName.

requires_grad() [1/2]

template<typename real_t >

bool iganet::Options< real_t >::requires_grad ( ) const

inlinenoexcept

Returns the requires_grad property.

requires_grad() [2/2]

template<typename real_t >

Options< real_t > iganet::Options< real_t >::requires_grad ( bool  requires_grad ) const

inlinenoexcept

Returns a new Options object with the requires_grad property as given.

Member Data Documentation

options_

template<typename real_t >

const torch::TensorOptions iganet::Options< real_t >::options_

private

Tensor options.

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

• include/options.hpp