using NUnit.Framework; using Unity.MLAgents; using Unity.MLAgents.Policies; using Unity.MLAgents.Sensors; using Unity.MLAgents.Sensors.Reflection; using Unity.PerformanceTesting; using UnityEngine; namespace MLAgentsExamples.Tests.Performance { [TestFixture] public class SensorPerformanceTests { string[] s_Markers = { "root.InitializeSensors", "root.AgentSendState.CollectObservations", "root.AgentSendState.RequestDecision" }; const int k_NumAgentSteps = 10; const int k_MeasurementCount = 25; const int k_MarkerTestSteps = 10; [SetUp] public void SetUp() { // Step a dummy agent here, so that we don't time the Academy initialization connection attempt and // any other static setup costs. RunAgent(1, 0, ObservableAttributeOptions.ExamineAll); } /// /// Simple Agent just used for "burning in" the Academy for testing. /// class DummyAgent : Agent { public override void CollectObservations(VectorSensor sensor) { } public override void Heuristic(float[] actionsOut) { } } /// /// Agent used for performance testing that uses the CollectObservations interface. /// class CollectObservationsAgent : Agent { public override void CollectObservations(VectorSensor sensor) { sensor.AddObservation(new Vector3(1, 2, 3)); sensor.AddObservation(new Quaternion(1, 2, 3, 4)); } public override void Heuristic(float[] actionsOut) { } } /// /// Agent used for performance testing that uses the ObservableAttributes on fields. /// class ObservableFieldAgent : Agent { [Observable] public Vector3 Vector3Field = new Vector3(1, 2, 3); [Observable] public Quaternion QuaternionField = new Quaternion(1, 2, 3, 4); public override void Heuristic(float[] actionsOut) { } } /// /// Agent used for performance testing that uses the ObservableAttributes on properties. /// class ObservablePropertyAgent : Agent { Vector3 m_Vector3Field = new Vector3(1, 2, 3); [Observable] Vector3 Vector3Property { get { return m_Vector3Field; } } Quaternion m_QuaternionField = new Quaternion(1, 2, 3, 4); [Observable] Quaternion QuaternionProperty { get { return m_QuaternionField; } } public override void Heuristic(float[] actionsOut) { } } void RunAgent(int numSteps, int obsSize, ObservableAttributeOptions obsOptions) where T : Agent { var agentGameObj = new GameObject(); var agent = agentGameObj.AddComponent(); var behaviorParams = agent.GetComponent(); behaviorParams.BrainParameters.VectorObservationSize = obsSize; behaviorParams.ObservableAttributeHandling = obsOptions; agent.LazyInitialize(); for (var i = 0; i < numSteps; i++) { agent.RequestDecision(); Academy.Instance.EnvironmentStep(); } Object.DestroyImmediate(agentGameObj); } [Test, Performance] public void TestCollectObservationsAgent() { Measure.Method(() => { RunAgent(k_NumAgentSteps, 7, ObservableAttributeOptions.Ignore); }) .MeasurementCount(k_MeasurementCount) .GC() .Run(); } [Test, Performance] public void TestObservableFieldAgent() { Measure.Method(() => { RunAgent(k_NumAgentSteps, 0, ObservableAttributeOptions.ExcludeInherited); }) .MeasurementCount(k_MeasurementCount) .GC() .Run(); } [Test, Performance] public void TestObservablePropertyAgent() { Measure.Method(() => { RunAgent(k_NumAgentSteps, 0, ObservableAttributeOptions.ExcludeInherited); }) .MeasurementCount(k_MeasurementCount) .GC() .Run(); } [Test, Performance] public void TestCollectObservationsAgentMarkers() { using (Measure.ProfilerMarkers(s_Markers)) { for(var i=0; i(k_NumAgentSteps, 7, ObservableAttributeOptions.Ignore); } } } [Test, Performance] public void TestObservableFieldAgentMarkers() { using (Measure.ProfilerMarkers(s_Markers)) { for (var i = 0; i < k_MarkerTestSteps; i++) { RunAgent(k_NumAgentSteps, 0, ObservableAttributeOptions.ExcludeInherited); } } } [Test, Performance] public void TestObservablePropertyAgentMarkers() { using (Measure.ProfilerMarkers(s_Markers)) { for (var i = 0; i < k_MarkerTestSteps; i++) { RunAgent(k_NumAgentSteps, 0, ObservableAttributeOptions.ExcludeInherited); } } } } }