public void Execute(int i)
{
Entity firstParentEntity = na_parentPopulationEntities [i];
Entity offspringEntity = na_offspringPopulationEntities [i];
DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_firstParentInput2HiddenLayersWeights = input2HiddenLayersWeightsBuffer [firstParentEntity];
DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_firstParentHidden2OutputLayersWeights = hidden2OutputLayersWeightsBuffer [firstParentEntity];
DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_offspringInput2HiddenLayersWeights = input2HiddenLayersWeightsBuffer [offspringEntity];
DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_offspringtHidden2OutputLayersWeights = hidden2OutputLayersWeightsBuffer [offspringEntity];
int i_input2HiddenLayersWeightsCount = a_firstParentInput2HiddenLayersWeights.Length;
int i_hidden2OutputLayersWeightsCount = a_firstParentHidden2OutputLayersWeights.Length;
a_offspringInput2HiddenLayersWeights.ResizeUninitialized(i_input2HiddenLayersWeightsCount);
a_offspringtHidden2OutputLayersWeights.ResizeUninitialized(i_hidden2OutputLayersWeightsCount);
for (int j = 0; j < a_offspringInput2HiddenLayersWeights.Length; j++)
{
a_offspringInput2HiddenLayersWeights [j] = new NNInput2HiddenLayersWeightsBuffer()
{
f = a_firstParentInput2HiddenLayersWeights [j].f
};
}
for (int j = 0; j < a_offspringtHidden2OutputLayersWeights.Length; j++)
{
a_offspringtHidden2OutputLayersWeights [j] = new NNHidden2OutputLayersWeightsBuffer()
{
f = a_firstParentHidden2OutputLayersWeights [j].f
};
}
}
// public int i_eliteScore ;
public void Execute(int i)
{
int i_eliteProbablityCount = na_indexProbability.Length;
random.InitState((uint)(random.NextInt(i_eliteProbablityCount) + na_randomValues [i]));
random.NextInt2();
int i_firstPorbabilityIndex = random.NextInt(0, i_eliteProbablityCount);
int i_secondPorbabilityIndex = random.NextInt(0, i_eliteProbablityCount);
int i_firstParentEntityIndex = na_indexProbability [i_firstPorbabilityIndex];
int i_secondParentEntityIndex = na_indexProbability [i_secondPorbabilityIndex];
Entity firstParentEntity = na_parentPopulationEntities [i_firstParentEntityIndex];
Entity secondParentEntity = na_parentPopulationEntities [i_secondParentEntityIndex];
DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_firstParentInput2HiddenLayersWeights = input2HiddenLayersWeightsBuffer [firstParentEntity];
DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_firstParentHidden2OutputLayersWeights = hidden2OutputLayersWeightsBuffer [firstParentEntity];
DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_secondParentInput2HiddenLayersWeights = input2HiddenLayersWeightsBuffer [secondParentEntity];
DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_secondParentHidden2OutputLayersWeights = hidden2OutputLayersWeightsBuffer [secondParentEntity];
Entity offspringEntity = na_offspringPopulationEntities [i];
DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_offspringInput2HiddenLayersWeights = input2HiddenLayersWeightsBuffer [offspringEntity];
DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_offspringtHidden2OutputLayersWeights = hidden2OutputLayersWeightsBuffer [offspringEntity];
int i_input2HiddenLayersWeightsCount = a_firstParentInput2HiddenLayersWeights.Length;
int i_hidden2OutputLayersWeightsCount = a_firstParentHidden2OutputLayersWeights.Length;
a_offspringInput2HiddenLayersWeights.ResizeUninitialized(i_input2HiddenLayersWeightsCount);
a_offspringtHidden2OutputLayersWeights.ResizeUninitialized(i_hidden2OutputLayersWeightsCount);
// 50 / 50 chance to get trait (NN weights) from parent A or B.
for (int j = 0; j < a_offspringInput2HiddenLayersWeights.Length; j++)
{
float f = random.NextFloat() < 0.5f ? a_firstParentInput2HiddenLayersWeights [j].f : a_secondParentInput2HiddenLayersWeights [j].f;
a_offspringInput2HiddenLayersWeights [j] = new NNInput2HiddenLayersWeightsBuffer()
{
f = f
};
}
for (int j = 0; j < a_offspringtHidden2OutputLayersWeights.Length; j++)
{
float f = random.NextFloat() < 0.5f ? a_firstParentHidden2OutputLayersWeights [j].f : a_secondParentHidden2OutputLayersWeights [j].f;
a_offspringtHidden2OutputLayersWeights [j] = new NNHidden2OutputLayersWeightsBuffer()
{
f = f
};
}
}
static private void _MutationChances(ref DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_offspringInput2HiddenLayersWeights, ref DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_offspringtHidden2OutputLayersWeights, ref Unity.Mathematics.Random random, float f_range, float f_majorMutationChance, float f_minorMutationChance, float f_minorMutationRangeScale)
{
for (int i = 0; i < a_offspringInput2HiddenLayersWeights.Length; i++)
{
float f = random.NextFloat() < f_majorMutationChance?random.NextFloat(-f_range, f_range) : (random.NextFloat() < f_minorMutationChance ? a_offspringInput2HiddenLayersWeights [i].f : math.clamp(a_offspringInput2HiddenLayersWeights [i].f + random.NextFloat(-f_range, f_range) * f_minorMutationRangeScale, -f_range, f_range));
a_offspringInput2HiddenLayersWeights [i] = new NNInput2HiddenLayersWeightsBuffer()
{
f = f
};
}
for (int i = 0; i < a_offspringtHidden2OutputLayersWeights.Length; i++)
{
float f = random.NextFloat() < f_majorMutationChance?random.NextFloat(-f_range, f_range) : (random.NextFloat() < f_minorMutationChance ? a_offspringInput2HiddenLayersWeights [i].f : math.clamp(a_offspringtHidden2OutputLayersWeights [i].f + random.NextFloat(-f_range, f_range) * f_minorMutationRangeScale, -f_range, f_range));
a_offspringtHidden2OutputLayersWeights [i] = new NNHidden2OutputLayersWeightsBuffer()
{
f = f
};
}
}
protected override void OnUpdate( )
{
EntityCommandBuffer.ParallelWriter ecbp = eecb.CreateCommandBuffer().AsParallelWriter();
this.random.NextInt2();
Unity.Mathematics.Random random = this.random;
ComponentDataFromEntity <NNManagerComponent> a_manager = GetComponentDataFromEntity <NNManagerComponent> (true);
Entities
.WithName("NNCreateFirstGenerationWeightsJob")
.WithAll <NNBrainTag, IsSpawningCompleteTag, NNIsFirstGenerationTag> ()
.WithNone <IsInitializedTag> ()
.WithReadOnly(a_manager)
.ForEach((Entity entity, ref DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_input2hiddenLayerWeights, ref DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_hidden2OutputLayerWeights, in NNAssignedToManagerComponent assignedManager) =>
{
random.InitState((uint)(random.NextInt() + entity.Index));
random.NextInt2();
NNManagerComponent managerComponent = a_manager [assignedManager.entity];
float f_muatationRange = managerComponent.f_muatationRange;
// Initialize random weights.
for (int i = 0; i < a_input2hiddenLayerWeights.Length; i++)
{
a_input2hiddenLayerWeights [i] = new NNInput2HiddenLayersWeightsBuffer()
{
f = random.NextFloat(-f_muatationRange, f_muatationRange)
};
}
// Initialize random weights.
for (int i = 0; i < a_hidden2OutputLayerWeights.Length; i++)
{
a_hidden2OutputLayerWeights [i] = new NNHidden2OutputLayersWeightsBuffer()
{
f = random.NextFloat(-f_muatationRange, f_muatationRange)
};
}
}).ScheduleParallel();
this.random.NextInt2();
random = this.random;
// DNA mutation.
Entities
.WithName("NNDNAMutationJob")
.WithAll <NNBrainTag, IsSpawningCompleteTag> ()
.WithNone <IsInitializedTag, NNIsFirstGenerationTag> ()
.WithReadOnly(a_manager)
.ForEach((Entity entity, ref DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_offspringInput2HiddenLayersWeights, ref DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_offspringtHidden2OutputLayersWeights, in NNAssignedToManagerComponent assignedManager) =>
{
random.InitState((uint)(random.NextInt() + entity.Index));
random.NextInt2();
NNManagerComponent managerComponent = a_manager [assignedManager.entity];
float f_range = managerComponent.f_muatationRange;
float f_groupSelection = random.NextFloat();
if (f_groupSelection <= managerComponent.f_firstGroupSizeInPercentage)
{
float f_majorMutationChance = managerComponent.f_majorMutationChance0;
float f_minorMutationChance = managerComponent.f_minorMutationChance0;
float f_minorMutationRangeScale = managerComponent.f_minorMutationRangeScale0;
_MutationChances(ref a_offspringInput2HiddenLayersWeights, ref a_offspringtHidden2OutputLayersWeights, ref random, f_range, f_majorMutationChance, f_minorMutationChance, f_minorMutationRangeScale);
}
else if (f_groupSelection <= managerComponent.f_secondGroupSizeInPercentage)
{
float f_majorMutationChance = managerComponent.f_majorMutationChance1;
float f_minorMutationChance = managerComponent.f_minorMutationChance1;
float f_minorMutationRangeScale = managerComponent.f_minorMutationRangeScale1;
_MutationChances(ref a_offspringInput2HiddenLayersWeights, ref a_offspringtHidden2OutputLayersWeights, ref random, f_range, f_majorMutationChance, f_minorMutationChance, f_minorMutationRangeScale);
}
else if (f_groupSelection <= managerComponent.f_thirdGroupSizeInPercentage)
{
float f_majorMutationChance = managerComponent.f_majorMutationChance2;
float f_minorMutationChance = managerComponent.f_minorMutationChance2;
float f_minorMutationRangeScale = managerComponent.f_minorMutationRangeScale2;
_MutationChances(ref a_offspringInput2HiddenLayersWeights, ref a_offspringtHidden2OutputLayersWeights, ref random, f_range, f_majorMutationChance, f_minorMutationChance, f_minorMutationRangeScale);
}
else
{
float f_majorMutationChance = managerComponent.f_majorMutationChance2;
float f_minorMutationChance = managerComponent.f_minorMutationChance2;
float f_minorMutationRangeScale = managerComponent.f_minorMutationRangeScale2;
_MutationChances(ref a_offspringInput2HiddenLayersWeights, ref a_offspringtHidden2OutputLayersWeights, ref random, f_range, f_majorMutationChance, f_minorMutationChance, f_minorMutationRangeScale);
}
}).ScheduleParallel();
random.NextUInt2();
// DNA mutation.
Entities
.WithName("NNDNAMutationOfFirstGenerationJob")
.WithAll <NNBrainTag, IsSpawningCompleteTag, NNIsFirstGenerationTag> ()
.WithNone <IsInitializedTag> ()
.WithReadOnly(a_manager)
.ForEach((Entity entity, ref DynamicBuffer <NNInput2HiddenLayersWeightsBuffer> a_offspringInput2HiddenLayersWeights, ref DynamicBuffer <NNHidden2OutputLayersWeightsBuffer> a_offspringtHidden2OutputLayersWeights, in NNAssignedToManagerComponent assignedManager) =>
{
random.InitState((uint)(random.NextInt() + entity.Index));
random.NextInt2();
NNManagerComponent managerComponent = a_manager [assignedManager.entity];
float f_range = managerComponent.f_muatationRange;
for (int i = 0; i < a_offspringInput2HiddenLayersWeights.Length; i++)
{
float f = random.NextFloat(-f_range, f_range);
a_offspringInput2HiddenLayersWeights [i] = new NNInput2HiddenLayersWeightsBuffer()
{
f = f
};
}
for (int i = 0; i < a_offspringtHidden2OutputLayersWeights.Length; i++)
{
float f = random.NextFloat(-f_range, f_range);
a_offspringtHidden2OutputLayersWeights [i] = new NNHidden2OutputLayersWeightsBuffer()
{
f = f
};
}
}).ScheduleParallel();
Entities
.WithName("NNActivateNewPopulationJob")
.WithAll <NNBrainTag, IsSpawningCompleteTag> ()
.WithNone <IsInitializedTag> ()
.ForEach((Entity entity, int entityInQueryIndex) =>
{
ecbp.AddComponent <IsInitializedTag> (entityInQueryIndex, entity);
ecbp.AddComponent <IsAliveTag> (entityInQueryIndex, entity);
}).ScheduleParallel();
eecb.AddJobHandleForProducer(Dependency);
}
