CUDA implementation of the Relative Difference prior. More...

#include "stir/recon_buildblock/CUDA/CudaRelativeDifferencePrior.h"

Inheritance diagram for stir::CudaRelativeDifferencePrior< elemT >:

[legend]

Public Member Functions
void	set_defaults () override
	Set defaults before parsing.

double	compute_value (const DiscretisedDensity< 3, elemT > &current_image_estimate) override
	compute the value of the function More...

void	compute_gradient (DiscretisedDensity< 3, elemT > &prior_gradient, const DiscretisedDensity< 3, elemT > &current_image_estimate) override
	This should compute the gradient of the log of the prior function at the current_estimate. More...

Succeeded	set_up (shared_ptr< const DiscretisedDensity< 3, elemT >> const &target_sptr) override
	Has to be called before using this object.

Public Member Functions inherited from stir::RegisteredParsingObject< CudaRelativeDifferencePrior< elemT >, GeneralisedPrior< DiscretisedDensity< 3, elemT > >, RelativeDifferencePrior< elemT > >
std::string	get_registered_name () const override
	Returns Derived::registered_name.

std::string	parameter_info () override
	Returns a string with all parameters and their values, in a form suitable for parsing again.

Public Member Functions inherited from stir::RelativeDifferencePrior< elemT >
	RelativeDifferencePrior ()
	Default constructor.

	RelativeDifferencePrior (const bool only_2D, float penalization_factor, float gamma, float epsilon)
	Constructs it explicitly.

double	compute_value (const DiscretisedDensity< 3, elemT > &current_image_estimate) override
	compute the value of the function

void	compute_gradient (DiscretisedDensity< 3, elemT > &prior_gradient, const DiscretisedDensity< 3, elemT > &current_image_estimate) override
	compute gradient

void	compute_Hessian (DiscretisedDensity< 3, elemT > &prior_Hessian_for_single_densel, const BasicCoordinate< 3, int > &coords, const DiscretisedDensity< 3, elemT > &current_image_estimate) const override

void	add_multiplication_with_approximate_Hessian (DiscretisedDensity< 3, elemT > &output, const DiscretisedDensity< 3, elemT > &input) const override

void	accumulate_Hessian_times_input (DiscretisedDensity< 3, elemT > &output, const DiscretisedDensity< 3, elemT > &current_estimate, const DiscretisedDensity< 3, elemT > &input) const override
	Compute the multiplication of the hessian of the prior multiplied by the input.

float	get_gamma () const
	get the gamma value used in RDP

void	set_gamma (float e)
	set the gamma value used in the RDP

float	get_epsilon () const
	get the epsilon value used in RDP

void	set_epsilon (float e)
	set the epsilon value used in the RDP

Array< 3, float >	get_weights () const
	get penalty weights for the neigbourhood More...

void	set_weights (const Array< 3, float > &)
	set penalty weights for the neigbourhood More...

shared_ptr< DiscretisedDensity< 3, elemT > >	get_kappa_sptr () const
	get current kappa image More...

void	set_kappa_sptr (const shared_ptr< DiscretisedDensity< 3, elemT >> &)
	set kappa image

bool	is_convex () const override
	Indicates if the prior is a smooth convex function. More...

template<>
const char *const	registered_name

Public Member Functions inherited from stir::GeneralisedPrior< DiscretisedDensity< 3, elemT > >
virtual void	compute_Hessian (DiscretisedDensity< 3, elemT > &prior_Hessian_for_single_densel, const BasicCoordinate< 3, int > &coords, const DiscretisedDensity< 3, elemT > &current_image_estimate) const
	This computes a single row of the Hessian. More...

virtual void	add_multiplication_with_approximate_Hessian (DiscretisedDensity< 3, elemT > &output, const DiscretisedDensity< 3, elemT > &input) const
	This should compute the multiplication of the Hessian with a vector and add it to output. More...

virtual void	accumulate_Hessian_times_input (DiscretisedDensity< 3, elemT > &output, const DiscretisedDensity< 3, elemT > &current_estimate, const DiscretisedDensity< 3, elemT > &input) const
	This should compute the multiplication of the Hessian with a vector and add it to output. More...

float	get_penalisation_factor () const

void	set_penalisation_factor (float new_penalisation_factor)

virtual Succeeded	set_up (shared_ptr< const DiscretisedDensity< 3, elemT > > const &target_sptr)
	Has to be called before using this object.

Public Member Functions inherited from stir::ParsingObject
	ParsingObject (const ParsingObject &)

ParsingObject &	operator= (const ParsingObject &)

void	ask_parameters ()

bool	parse (std::istream &f)

bool	parse (const char *const filename)

Static Public Attributes
static const char *const	registered_name = "Cuda Relative Difference Prior"

Static Public Attributes inherited from stir::RelativeDifferencePrior< elemT >
static const char *const	registered_name
	Name which will be used when parsing a GeneralisedPrior object.

Protected Attributes
int	z_dim

int	y_dim

int	x_dim

cppdim3	block_dim

cppdim3	grid_dim

float *	d_weights_data = 0
	Device copy of weights.

float *	d_kappa_data = 0
	Device copy of kappa.

Protected Attributes inherited from stir::RelativeDifferencePrior< elemT >
float	gamma
	Create variable gamma for Relative Difference Penalty.

float	epsilon
	Create variable epsilon for Relative Difference Penalty.

bool	only_2D
	can be set during parsing to restrict the weights to the 2D case

std::string	gradient_filename_prefix
	filename prefix for outputing the gradient whenever compute_gradient() is called. More...

Array< 3, float >	weights
	penalty weights More...

std::string	kappa_filename
	Filename for the $\kappa$ image that will be read by post_processing()

shared_ptr< DiscretisedDensity< 3, elemT > >	kappa_ptr

Protected Attributes inherited from stir::GeneralisedPrior< DiscretisedDensity< 3, elemT > >
float	penalisation_factor

bool	_already_set_up

Protected Attributes inherited from stir::ParsingObject
KeyParser	parser

Additional Inherited Members
Static Public Member Functions inherited from stir::RegisteredParsingObject< CudaRelativeDifferencePrior< elemT >, GeneralisedPrior< DiscretisedDensity< 3, elemT > >, RelativeDifferencePrior< elemT > >
static GeneralisedPrior< DiscretisedDensity< 3, elemT > > *	read_from_stream (std::istream *)
	Construct a new object (of type Derived) by parsing the istream. More...

Static Public Member Functions inherited from stir::RegisteredParsingObject< RelativeDifferencePrior< elemT >, GeneralisedPrior< DiscretisedDensity< 3, elemT > >, GeneralisedPrior< DiscretisedDensity< 3, elemT > > >
static GeneralisedPrior< DiscretisedDensity< 3, elemT > > *	read_from_stream (std::istream *)
	Construct a new object (of type Derived) by parsing the istream. More...

Static Public Member Functions inherited from stir::RegisteredObject< GeneralisedPrior< DiscretisedDensity< 3, elemT > > >
static GeneralisedPrior< DiscretisedDensity< 3, elemT > > *	read_registered_object (std::istream *in, const std::string &registered_name)
	Construct a new object (of a type derived from Root, its actual type determined by the registered_name parameter) by parsing the istream. More...

static GeneralisedPrior< DiscretisedDensity< 3, elemT > > *	ask_type_and_parameters ()
	ask the user for the type, and then calls read_registered_object(0, type) More...

static void	list_registered_names (std::ostream &stream)
	List all possible registered names to the stream. More...

Protected Types inherited from stir::RegisteredObject< GeneralisedPrior< DiscretisedDensity< 3, elemT > > >
typedef GeneralisedPrior< DiscretisedDensity< 3, elemT > > (	RootFactory) (std::istream *)
	The type of a root factory is a function, taking an istream* as argument, and returning a Root*.

typedef FactoryRegistry< std::string, RootFactory, interfile_less >	RegistryType
	The type of the registry.

Protected Member Functions inherited from stir::RelativeDifferencePrior< elemT >
void	check (DiscretisedDensity< 3, elemT > const &current_image_estimate) const override
	Check that the prior is ready to be used.

void	set_defaults () override
	Set defaults before parsing.

void	initialise_keymap () override
	Initialise all keywords.

bool	post_processing () override
	This will be called at the end of the parsing. More...

double	value (const elemT x_j, const elemT x_k) const
	The value and partial derivatives of the Relative Difference Prior. More...

elemT	derivative_10 (const elemT x, const elemT y) const

elemT	derivative_20 (const elemT x_j, const elemT x_k) const

elemT	derivative_11 (const elemT x_j, const elemT x_k) const

Protected Member Functions inherited from stir::GeneralisedPrior< DiscretisedDensity< 3, elemT > >
void	set_defaults () override
	sets value for penalisation factor More...

void	initialise_keymap () override
	sets key for penalisation factor More...

virtual void	check (DiscretisedDensity< 3, elemT > const &current_estimate) const
	Check that the prior is ready to be used.

Protected Member Functions inherited from stir::ParsingObject
virtual void	set_key_values ()
	This will be called before parsing or parameter_info is called. More...

Static Protected Member Functions inherited from stir::RegisteredObject< GeneralisedPrior< DiscretisedDensity< 3, elemT > > >
static RegistryType &	registry ()
	Static function returning the registry. More...

Detailed Description

template<typename elemT>
class stir::CudaRelativeDifferencePrior< elemT >

CUDA implementation of the Relative Difference prior.

See also: RelativeDifferencePrior. Results should be identical.

Todo:: Limitation: currently only weights of size 3x3x3 are supported. Therefore, single slice images will lead to an error being thrown.

Member Function Documentation

◆ compute_value()

template<typename elemT >

double stir::CudaRelativeDifferencePrior< elemT >::compute_value ( const DiscretisedDensity< 3, elemT > & current_estimate )

overridevirtual

compute the value of the function

For derived classes where this doesn't make sense, it's recommended to return 0.

Implements stir::GeneralisedPrior< DiscretisedDensity< 3, elemT > >.

◆ compute_gradient()

template<typename elemT >

void stir::CudaRelativeDifferencePrior< elemT >::compute_gradient	(	DiscretisedDensity< 3, elemT > &	prior_gradient,
		const DiscretisedDensity< 3, elemT > &	current_estimate
	)

overridevirtual

This should compute the gradient of the log of the prior function at the current_estimate.

The gradient is already multiplied with the penalisation_factor.

Warning: The derived class should overwrite any data in prior_gradient.

Implements stir::GeneralisedPrior< DiscretisedDensity< 3, elemT > >.

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

/home/sirfuser/devel/STIRdistrib/STIR/src/include/stir/recon_buildblock/CUDA/CudaRelativeDifferencePrior.h

Public Member Functions

Static Public Attributes

Protected Attributes

Additional Inherited Members

Detailed Description

template<typename elemT> class stir::CudaRelativeDifferencePrior< elemT >

Member Function Documentation

◆ compute_value()

◆ compute_gradient()

template<typename elemT>
class stir::CudaRelativeDifferencePrior< elemT >