Class representing a convergence workitem. More...

#include <workflow.hpp>

Inheritance diagram for workflow::converge_item< T, SAFE_MATH >:

Public Member Functions
	converge_item (graph::input_nodes< T, SAFE_MATH > inputs, graph::output_nodes< T, SAFE_MATH > outputs, graph::map_nodes< T, SAFE_MATH > maps, graph::shared_random_state< T, SAFE_MATH > state, const std::string name, const size_t size, jit::context< T, SAFE_MATH > &context, const T tol=1.0E-30, const size_t max_iter=1000)
	Construct a workflow item.

virtual void	create_kernel_call (jit::context< T, SAFE_MATH > &context)
	Set the kernel function.

virtual void	run ()
	Run the workitem.

Public Member Functions inherited from workflow::work_item< T, SAFE_MATH >
	work_item (graph::input_nodes< T, SAFE_MATH > in, graph::output_nodes< T, SAFE_MATH > out, graph::map_nodes< T, SAFE_MATH > maps, graph::shared_random_state< T, SAFE_MATH > state, const std::string name, const size_t size, jit::context< T, SAFE_MATH > &context)
	Construct a workflow item.

Additional Inherited Members
Protected Attributes inherited from workflow::work_item< T, SAFE_MATH >
const std::string	kernel_name
	Name of the GPU kernel.

const size_t	kernel_size
	Name of the GPU kernel.

graph::input_nodes< T, SAFE_MATH >	inputs
	Input nodes.

graph::output_nodes< T, SAFE_MATH >	outputs
	Output nodes.

graph::shared_random_state< T, SAFE_MATH >	state
	Random state node.

std::function< void(void)>	kernel
	Kernel function.

Detailed Description

template<jit::float_scalar T, bool SAFE_MATH = false>
class workflow::converge_item< T, SAFE_MATH >

Class representing a convergence workitem.

Template Parameters

T	Base type of the calculation.
SAFE_MATH	Use Safe Math operations.

Constructor & Destructor Documentation

template<jit::float_scalar T, bool SAFE_MATH = false>

workflow::converge_item< T, SAFE_MATH >::converge_item	(	graph::input_nodes< T, SAFE_MATH >	inputs,
		graph::output_nodes< T, SAFE_MATH >	outputs,
		graph::map_nodes< T, SAFE_MATH >	maps,
		graph::shared_random_state< T, SAFE_MATH >	state,
		const std::string	name,
		const size_t	size,
		jit::context< T, SAFE_MATH > &	context,
		const T	tol = `1.0E-30`,
		const size_t	max_iter = `1000`
	)

inline

Construct a workflow item.

Parameters

[in]	inputs	Input variables.
[in]	outputs	Output nodes.
[in]	maps	Setter maps.
[in]	state	Random state node.
[in]	name	Name of the workitem.
[in]	size	Size of the workitem.
[in,out]	context	Jit context.
[in]	tol	Tolarance to solve the dispersion function to.
[in]	max_iter	Maximum number of iterations before giving up.

template<jit::float_scalar T, bool SAFE_MATH = false>

virtual void workflow::converge_item< T, SAFE_MATH >::create_kernel_call ( jit::context< T, SAFE_MATH > & context )

inlinevirtual

Set the kernel function.

Parameters

[in,out] context Jit context.

template<jit::float_scalar T, bool SAFE_MATH = false>

virtual void workflow::converge_item< T, SAFE_MATH >::run ( )

inlinevirtual

Run the workitem.

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