Definition at line 28 of file LikelihoodGradientJob.h.

Classes
struct	task_result_t

Public Types
enum class	GradientCalculatorMode { ExactlyMinuit2 , AlmostMinuit2 }

Public Member Functions
	LikelihoodGradientJob (std::shared_ptr< RooAbsL > likelihood, std::shared_ptr< WrapperCalculationCleanFlags > calculation_is_clean, std::size_t N_dim, RooMinimizer *minimizer, SharedOffset offset)

void	fillGradient (double *grad) override

void	fillGradientWithPrevResult (double grad, double previous_grad, double previous_g2, double previous_gstep) override

bool	isCalculating () override
	Reports whether or not the gradient is currently being calculated.

void	update_state () override
	Virtual function to update any necessary state on workers.

Public Member Functions inherited from RooFit::MultiProcess::Job
	Job ()

	Job (const Job &other)

	~Job ()

void	gather_worker_results ()
	Wait for all tasks to be retrieved for the current Job.

std::size_t	get_state_id ()
	Get the current state identifier.

Public Member Functions inherited from RooFit::TestStatistics::LikelihoodGradientWrapper
	LikelihoodGradientWrapper (const LikelihoodGradientWrapper &)=delete

virtual	~LikelihoodGradientWrapper ()=default

LikelihoodGradientWrapper &	operator= (const LikelihoodGradientWrapper &)=delete

virtual void	updateMinuitExternalParameterValues (const std::vector< double > &minuit_external_x)

Private Member Functions
void	calculate_all ()

void	evaluate_task (std::size_t task) override
	Job overrides:

bool	receive_task_result_on_master (const zmq::message_t &message) override

void	run_derivator (unsigned int i_component) const
	Calculation stuff (mostly duplicates of RooGradMinimizerFcn code):

void	send_back_task_result_from_worker (std::size_t task) override

void	setErrorLevel (double error_level) const

void	setGradTolerance (double grad_tolerance) const

void	setNCycles (unsigned int ncycles) const

void	setStepTolerance (double step_tolerance) const

void	setStrategy (int istrat)

void	synchronizeParameterSettings (const std::vector< ROOT::Fit::ParameterSettings > &parameter_settings) override

void	synchronizeParameterSettings (ROOT::Math::IMultiGenFunction *function, const std::vector< ROOT::Fit::ParameterSettings > &parameter_settings) override

void	synchronizeWithMinimizer (const ROOT::Math::MinimizerOptions &options) override
	Synchronize minimizer settings with calculators in child classes.

void	update_workers_state ()

void	update_workers_state_isCalculating ()

void	updateMinuitInternalParameterValues (const std::vector< double > &minuit_internal_x) override
	Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), but that the specific calculator does need.

bool	usesMinuitInternalValues () override
	Implement usesMinuitInternalValues to return true when you want Minuit to send this class Minuit-internal values, or return false when you want "regular" Minuit-external values.

Private Attributes
std::vector< ROOT::Minuit2::DerivatorElement >	grad_

ROOT::Minuit2::NumericalDerivator	gradf_

bool	isCalculating_ = false

std::vector< double >	minuit_internal_x_

std::size_t	N_tasks_ = 0

std::size_t	N_tasks_at_workers_ = 0

SharedOffset::OffsetVec	offsets_previous_

Additional Inherited Members
Static Public Member Functions inherited from RooFit::TestStatistics::LikelihoodGradientWrapper
static std::unique_ptr< LikelihoodGradientWrapper >	create (LikelihoodGradientMode likelihoodGradientMode, std::shared_ptr< RooAbsL > likelihood, std::shared_ptr< WrapperCalculationCleanFlags > calculationIsClean, std::size_t nDim, RooMinimizer *minimizer, SharedOffset offset)
	Factory method.

Protected Member Functions inherited from RooFit::MultiProcess::Job
JobManager *	get_manager ()
	Get JobManager instance; create and activate if necessary.

Protected Member Functions inherited from RooFit::TestStatistics::LikelihoodGradientWrapper
	LikelihoodGradientWrapper (std::shared_ptr< RooAbsL > likelihood, std::shared_ptr< WrapperCalculationCleanFlags > calculation_is_clean, std::size_t N_dim, RooMinimizer *minimizer, SharedOffset offset)

Protected Attributes inherited from RooFit::MultiProcess::Job
std::size_t	id_

std::size_t	state_id_ = 0

Protected Attributes inherited from RooFit::TestStatistics::LikelihoodGradientWrapper
std::shared_ptr< WrapperCalculationCleanFlags >	calculation_is_clean_

std::shared_ptr< RooAbsL >	likelihood_

RooMinimizer *	minimizer_

SharedOffset	shared_offset_

#include </home/sftnight/build/workspace/root-makedoc-v632/rootspi/rdoc/src/v6-32-00-patches/roofit/roofitcore/src/TestStatistics/LikelihoodGradientJob.h>

Inheritance diagram for RooFit::TestStatistics::LikelihoodGradientJob:

[legend]

Member Enumeration Documentation

◆ GradientCalculatorMode

enum class RooFit::TestStatistics::LikelihoodGradientJob::GradientCalculatorMode

strong

Enumerator
ExactlyMinuit2
AlmostMinuit2

Definition at line 40 of file LikelihoodGradientJob.h.

Constructor & Destructor Documentation

◆ LikelihoodGradientJob()

RooFit::TestStatistics::LikelihoodGradientJob::LikelihoodGradientJob	(	std::shared_ptr< RooAbsL >	likelihood,
		std::shared_ptr< WrapperCalculationCleanFlags >	calculation_is_clean,
		std::size_t	N_dim,
		RooMinimizer *	minimizer,
		SharedOffset	offset
	)

Definition at line 28 of file LikelihoodGradientJob.cxx.

Member Function Documentation

◆ calculate_all()

void RooFit::TestStatistics::LikelihoodGradientJob::calculate_all ( )

private

Definition at line 207 of file LikelihoodGradientJob.cxx.

◆ evaluate_task()

void RooFit::TestStatistics::LikelihoodGradientJob::evaluate_task ( std::size_t task )

overrideprivatevirtual

Job overrides:

Implements RooFit::MultiProcess::Job.

Definition at line 91 of file LikelihoodGradientJob.cxx.

◆ fillGradient()

void RooFit::TestStatistics::LikelihoodGradientJob::fillGradient ( double * grad )

overridevirtual

Implements RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 228 of file LikelihoodGradientJob.cxx.

◆ fillGradientWithPrevResult()

void RooFit::TestStatistics::LikelihoodGradientJob::fillGradientWithPrevResult	(	double *	grad,
		double *	previous_grad,
		double *	previous_g2,
		double *	previous_gstep
	)

overridevirtual

Implements RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 242 of file LikelihoodGradientJob.cxx.

◆ isCalculating()

bool RooFit::TestStatistics::LikelihoodGradientJob::isCalculating ( )

inlineoverridevirtual

Reports whether or not the gradient is currently being calculated.

This is used in MinuitFcnGrad to switch between LikelihoodWrapper implementations inside and outside of a LikelihoodGradientJob calculation when the LikelihoodWrapper used is LikelihoodJob. This is to prevent Jobs from being started within Jobs.

Implements RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 41 of file LikelihoodGradientJob.h.

◆ receive_task_result_on_master()

bool RooFit::TestStatistics::LikelihoodGradientJob::receive_task_result_on_master ( const zmq::message_t & message )

overrideprivatevirtual

Implements RooFit::MultiProcess::Job.

Definition at line 106 of file LikelihoodGradientJob.cxx.

◆ run_derivator()

void RooFit::TestStatistics::LikelihoodGradientJob::run_derivator ( unsigned int i_component ) const

private

Calculation stuff (mostly duplicates of RooGradMinimizerFcn code):

Definition at line 200 of file LikelihoodGradientJob.cxx.

◆ send_back_task_result_from_worker()

void RooFit::TestStatistics::LikelihoodGradientJob::send_back_task_result_from_worker ( std::size_t task )

overrideprivatevirtual

Implements RooFit::MultiProcess::Job.

Definition at line 98 of file LikelihoodGradientJob.cxx.

◆ setErrorLevel()

void RooFit::TestStatistics::LikelihoodGradientJob::setErrorLevel ( double error_level ) const

private

Definition at line 83 of file LikelihoodGradientJob.cxx.

◆ setGradTolerance()

void RooFit::TestStatistics::LikelihoodGradientJob::setGradTolerance ( double grad_tolerance ) const

private

Definition at line 73 of file LikelihoodGradientJob.cxx.

◆ setNCycles()

void RooFit::TestStatistics::LikelihoodGradientJob::setNCycles ( unsigned int ncycles ) const

private

Definition at line 78 of file LikelihoodGradientJob.cxx.

◆ setStepTolerance()

void RooFit::TestStatistics::LikelihoodGradientJob::setStepTolerance ( double step_tolerance ) const

private

Definition at line 68 of file LikelihoodGradientJob.cxx.

◆ setStrategy()

void RooFit::TestStatistics::LikelihoodGradientJob::setStrategy ( int istrat )

private

Definition at line 58 of file LikelihoodGradientJob.cxx.

◆ synchronizeParameterSettings() [1/2]

void RooFit::TestStatistics::LikelihoodGradientJob::synchronizeParameterSettings ( const std::vector< ROOT::Fit::ParameterSettings > & parameter_settings )

overrideprivatevirtual

Reimplemented from RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 40 of file LikelihoodGradientJob.cxx.

◆ synchronizeParameterSettings() [2/2]

void RooFit::TestStatistics::LikelihoodGradientJob::synchronizeParameterSettings	(	ROOT::Math::IMultiGenFunction *	function,
		const std::vector< ROOT::Fit::ParameterSettings > &	parameter_settings
	)

overrideprivatevirtual

Implements RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 46 of file LikelihoodGradientJob.cxx.

◆ synchronizeWithMinimizer()

void RooFit::TestStatistics::LikelihoodGradientJob::synchronizeWithMinimizer ( const ROOT::Math::MinimizerOptions & options )

overrideprivatevirtual

Synchronize minimizer settings with calculators in child classes.

Reimplemented from RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 52 of file LikelihoodGradientJob.cxx.

◆ update_state()

void RooFit::TestStatistics::LikelihoodGradientJob::update_state ( )

overridevirtual

Virtual function to update any necessary state on workers.

This function is called from the worker loop when something is received over the ZeroMQ "SUB" socket. The master process sends messages to workers on its "PUB" socket. Thus, we can update, for instance, parameter values on the worker that were updated since the last call on the master side.

Note: Implementers: make sure to also update the state_id_ member.

Reimplemented from RooFit::MultiProcess::Job.

Definition at line 147 of file LikelihoodGradientJob.cxx.

◆ update_workers_state()

void RooFit::TestStatistics::LikelihoodGradientJob::update_workers_state ( )

private

Definition at line 119 of file LikelihoodGradientJob.cxx.

◆ update_workers_state_isCalculating()

void RooFit::TestStatistics::LikelihoodGradientJob::update_workers_state_isCalculating ( )

private

Definition at line 141 of file LikelihoodGradientJob.cxx.

◆ updateMinuitInternalParameterValues()

void RooFit::TestStatistics::LikelihoodGradientJob::updateMinuitInternalParameterValues ( const std::vector< double > & minuit_internal_x )

overrideprivatevirtual

Minuit passes in parameter values that may not conform to RooFit internal standards (like applying range clipping), but that the specific calculator does need.

This function can be implemented to receive these Minuit-internal values.

Reimplemented from RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 269 of file LikelihoodGradientJob.cxx.

◆ usesMinuitInternalValues()

bool RooFit::TestStatistics::LikelihoodGradientJob::usesMinuitInternalValues ( )

overrideprivatevirtual

Implement usesMinuitInternalValues to return true when you want Minuit to send this class Minuit-internal values, or return false when you want "regular" Minuit-external values.

Minuit internally uses a transformed parameter space to graciously handle externally mandated parameter range boundaries. Transformation from Minuit-internal to external (i.e. "regular") parameters is done using trigonometric functions that in some cases can cause a few bits of precision loss with respect to the original parameter values. To circumvent this, Minuit also allows external gradient providers (like LikelihoodGradientWrapper) to take the Minuit-internal parameter values directly, without transformation. This way, the gradient provider (e.g. the implementation of this class) can handle transformation manually, possibly with higher precision.

Implements RooFit::TestStatistics::LikelihoodGradientWrapper.

Definition at line 274 of file LikelihoodGradientJob.cxx.

Member Data Documentation

◆ grad_

std::vector<ROOT::Minuit2::DerivatorElement> RooFit::TestStatistics::LikelihoodGradientJob::grad_

mutableprivate

Definition at line 80 of file LikelihoodGradientJob.h.

◆ gradf_

ROOT::Minuit2::NumericalDerivator RooFit::TestStatistics::LikelihoodGradientJob::gradf_

mutableprivate

Definition at line 81 of file LikelihoodGradientJob.h.

◆ isCalculating_

bool RooFit::TestStatistics::LikelihoodGradientJob::isCalculating_ = false

mutableprivate

Definition at line 87 of file LikelihoodGradientJob.h.

◆ minuit_internal_x_

std::vector<double> RooFit::TestStatistics::LikelihoodGradientJob::minuit_internal_x_

private

Definition at line 85 of file LikelihoodGradientJob.h.

◆ N_tasks_

std::size_t RooFit::TestStatistics::LikelihoodGradientJob::N_tasks_ = 0

private

Definition at line 83 of file LikelihoodGradientJob.h.

◆ N_tasks_at_workers_

std::size_t RooFit::TestStatistics::LikelihoodGradientJob::N_tasks_at_workers_ = 0

private

Definition at line 84 of file LikelihoodGradientJob.h.

◆ offsets_previous_

SharedOffset::OffsetVec RooFit::TestStatistics::LikelihoodGradientJob::offsets_previous_

private

Definition at line 89 of file LikelihoodGradientJob.h.

roofit/roofitcore/src/TestStatistics/LikelihoodGradientJob.h

roofit/roofitcore/src/TestStatistics/LikelihoodGradientJob.cxx

Classes

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Member Enumeration Documentation

◆ GradientCalculatorMode

Constructor & Destructor Documentation

◆ LikelihoodGradientJob()

Member Function Documentation

◆ calculate_all()

◆ evaluate_task()

◆ fillGradient()

◆ fillGradientWithPrevResult()

◆ isCalculating()

◆ receive_task_result_on_master()

◆ run_derivator()

◆ send_back_task_result_from_worker()

◆ setErrorLevel()

◆ setGradTolerance()

◆ setNCycles()

◆ setStepTolerance()

◆ setStrategy()

◆ synchronizeParameterSettings() [1/2]

◆ synchronizeParameterSettings() [2/2]

◆ synchronizeWithMinimizer()

◆ update_state()

◆ update_workers_state()

◆ update_workers_state_isCalculating()

◆ updateMinuitInternalParameterValues()

◆ usesMinuitInternalValues()

Member Data Documentation

◆ grad_

◆ gradf_

◆ isCalculating_

◆ minuit_internal_x_

◆ N_tasks_

◆ N_tasks_at_workers_

◆ offsets_previous_