mlir::DataFlowSolver Class Reference

The general data-flow analysis solver. More...

#include "mlir/Analysis/DataFlowFramework.h"

Public Types
using	WorkItem = std::pair< ProgramPoint, DataFlowAnalysis * >
	A work item on the solver queue is a program point, child analysis pair. More...

Public Member Functions
template<typename AnalysisT , typename... Args>
AnalysisT *	load (Args &&...args)
	Load an analysis into the solver. Return the analysis instance. More...
LogicalResult	initializeAndRun (Operation *top)
	Initialize the children analyses starting from the provided top-level operation and run the analysis until fixpoint. More...
template<typename StateT , typename PointT >
const StateT *	lookupState (PointT point) const
	Lookup an analysis state for the given program point. More...
template<typename PointT , typename... Args>
PointT *	getProgramPoint (Args &&...args)
	Get a uniqued program point instance. More...
void	enqueue (WorkItem item)
	Push a work item onto the worklist. More...
template<typename StateT , typename PointT >
StateT *	getOrCreateState (PointT point)
	Get the state associated with the given program point. More...
void	propagateIfChanged (AnalysisState *state, ChangeResult changed)
	Propagate an update to an analysis state if it changed by pushing dependent work items to the back of the queue. More...
void	addDependency (AnalysisState *state, DataFlowAnalysis *analysis, ProgramPoint point)
	Add a dependency to an analysis state on a child analysis and program point. More...

Friends
class	DataFlowAnalysis
	Allow the base child analysis class to access the internals of the solver. More...

Detailed Description

The general data-flow analysis solver.

This class is responsible for orchestrating child data-flow analyses, running the fixed-point iteration algorithm, managing analysis state and program point memory, and tracking dependencies beteen analyses, program points, and analysis states.

Steps to run a data-flow analysis:

1. Load and initialize children analyses. Children analyses are instantiated in the solver and initialized, building their dependency relations.
2. Configure and run the analysis. The solver invokes the children analyses according to their dependency relations until a fixed point is reached.
3. Query analysis state results from the solver.

TODO: Optimize the internal implementation of the solver.

Definition at line 195 of file DataFlowFramework.h.

Member Typedef Documentation

WorkItem

using mlir::DataFlowSolver::WorkItem = std::pair<ProgramPoint, DataFlowAnalysis *>

A work item on the solver queue is a program point, child analysis pair.

Each item is processed by invoking the child analysis at the program point.

Definition at line 225 of file DataFlowFramework.h.

Member Function Documentation

addDependency()

void DataFlowSolver::addDependency	(	AnalysisState *	state,
		DataFlowAnalysis *	analysis,
		ProgramPoint	point
	)

Add a dependency to an analysis state on a child analysis and program point.

If the state is updated, the child analysis must be invoked on the given program point again.

Definition at line 106 of file DataFlowFramework.cpp.

References DATAFLOW_DEBUG, mlir::AnalysisState::dependents, mlir::AnalysisState::point, and mlir::DataFlowAnalysis::~DataFlowAnalysis().

Referenced by mlir::DataFlowAnalysis::addDependency().

enqueue()

void mlir::DataFlowSolver::enqueue ( WorkItem  item )

inline

Push a work item onto the worklist.

Definition at line 227 of file DataFlowFramework.h.

Referenced by mlir::dataflow::AbstractSparseLattice::onUpdate(), and mlir::dataflow::Executable::onUpdate().

getOrCreateState()

template<typename StateT , typename PointT >

StateT * mlir::DataFlowSolver::getOrCreateState

(

PointT

point

)

Get the state associated with the given program point.

If it does not exist, create an uninitialized state.

Definition at line 444 of file DataFlowFramework.h.

Referenced by mlir::DataFlowAnalysis::getOrCreate(), and mlir::dataflow::IntegerValueRangeLattice::onUpdate().

getProgramPoint()

template<typename PointT , typename... Args>

PointT* mlir::DataFlowSolver::getProgramPoint ( Args &&...  args )

inline

Get a uniqued program point instance.

If one is not present, it is created with the provided arguments.

Definition at line 218 of file DataFlowFramework.h.

Referenced by mlir::DataFlowAnalysis::getProgramPoint().

initializeAndRun()

LogicalResult DataFlowSolver::initializeAndRun

(

Operation *

top

)

Initialize the children analyses starting from the provided top-level operation and run the analysis until fixpoint.

Definition at line 65 of file DataFlowFramework.cpp.

References DATAFLOW_DEBUG, mlir::failed(), mlir::failure(), and mlir::success().

Referenced by toUnsignedPred().

load()

template<typename AnalysisT , typename... Args>

AnalysisT * mlir::DataFlowSolver::load

(

Args &&...

args

)

Load an analysis into the solver. Return the analysis instance.

Definition at line 435 of file DataFlowFramework.h.

Referenced by toUnsignedPred().

lookupState()

template<typename StateT , typename PointT >

const StateT* mlir::DataFlowSolver::lookupState ( PointT  point ) const

inline

Lookup an analysis state for the given program point.

Returns null if one does not exist.

Definition at line 208 of file DataFlowFramework.h.

Referenced by replaceWithConstant(), and staticallyNonNegative().

propagateIfChanged()

void DataFlowSolver::propagateIfChanged	(	AnalysisState *	state,
		ChangeResult	changed
	)

Propagate an update to an analysis state if it changed by pushing dependent work items to the back of the queue.

Definition at line 94 of file DataFlowFramework.cpp.

References mlir::Change, DATAFLOW_DEBUG, mlir::AnalysisState::dependents, mlir::AnalysisState::onUpdate(), and mlir::AnalysisState::point.

Referenced by mlir::dataflow::IntegerValueRangeLattice::onUpdate(), and mlir::DataFlowAnalysis::propagateIfChanged().

Friends And Related Function Documentation

DataFlowAnalysis

friend class DataFlowAnalysis

friend

Allow the base child analysis class to access the internals of the solver.

Definition at line 263 of file DataFlowFramework.h.

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

• include/mlir/Analysis/DataFlowFramework.h
• lib/Analysis/DataFlowFramework.cpp