A ruleset that controls how the simulator spends its per-update budget between verified ticks, prediction rollbacks and predicted ticks. Attach to a scene object; applies itself to QuantumRunner.Default. Use this script to optimize worst case rollback performance in online mode. Verify results by running the graph profiler. More...

Inheritance diagram for Quantum.QuantumRunnerRollbackPolicy:

Classes
struct	SimulatorContextRuleData
	Simulator context rule data. More...

Public Types
enum	PolicyMode
	Pre-defined rule sets. More...

Public Attributes
PolicyMode	Mode
	Selected policy mode. More...

SimulatorContextRuleData	Settings = new SimulatorContextRuleData { VerifiedPerUpdateOffset = 2, MaximumRollbackAge = 6 }
	Simulator context rules settings. More...

Detailed Description

A ruleset that controls how the simulator spends its per-update budget between verified ticks, prediction rollbacks and predicted ticks. Attach to a scene object; applies itself to QuantumRunner.Default. Use this script to optimize worst case rollback performance in online mode. Verify results by running the graph profiler.

Member Enumeration Documentation

◆ PolicyMode

enum Quantum.QuantumRunnerRollbackPolicy.PolicyMode

strong

Pre-defined rule sets.

Enumerator
Balanced	Balanced between performance and prediction depth.
Accurate	Updates the prediction more frequently.
Performance	Best performance by doing rollbacks less often.
Custom	Customize the values.

Member Data Documentation

◆ Mode

PolicyMode Quantum.QuantumRunnerRollbackPolicy.Mode

Selected policy mode.

◆ Settings

SimulatorContextRuleData Quantum.QuantumRunnerRollbackPolicy.Settings = new SimulatorContextRuleData { VerifiedPerUpdateOffset = 2, MaximumRollbackAge = 6 }

Simulator context rules settings.

Quantum 3 3.1.0

Classes