public EvaluatorOutputLayer(NetworkLayer modelLayer, int multiLayers) : base(modelLayer)
{
//OutputActivation = new NativeArray2D<float>(modelLayer.Size, EVALUATOR_BUCKET_SLICE_SIZE);
WeightedInput = new NativeArray2D <float>(modelLayer.Size, EVALUATOR_BUCKET_SLICE_SIZE);
Error = new NativeArray2D <float>(Size, EVALUATOR_BUCKET_SLICE_SIZE);
WeightGradients = new NativeArray <float>(ModelLayer.Weights.Length, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
}
public static EvaluatorLayer CreateFromLayer(NetworkLayer modelLayer, int multiLayer)
{
if (modelLayer.GetType() == typeof(InputLayer))
{
return(new EvaluatorInputLayer(modelLayer, multiLayer));
}
return(new EvaluatorLayer(modelLayer, multiLayer));
}
protected EvaluatorLayer(NetworkLayer modelLayer, int multiLayers)
{
Size = modelLayer.Size;
ModelLayer = modelLayer;
OutputActivation = new NativeArray2D <float>(EVALUATOR_BUCKET_SLICE_SIZE, modelLayer.Size);
WeightedInput = new NativeArray2D <float>(EVALUATOR_BUCKET_SLICE_SIZE, modelLayer.Size);
Error = new NativeArray2D <float>(EVALUATOR_BUCKET_SLICE_SIZE, Size);
WeightGradients = new NativeArray <float>(ModelLayer.Weights.Length, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
}
private void ConstructLayers(NetworkDescription description)
{
_layers = new NetworkLayer[description.Layers.Count];
for (int i = 0; i < description.Layers.Count; i++)
{
if (i == 0)
{
_layers[i] = NetworkLayer.ConstructLayer(description.Layers[i]);
}
else
{
_layers[i] = NetworkLayer.ConstructLayer(description.Layers[i], description.Layers[i - 1]);
}
}
}
//Only for derrived classes that do their own thing
protected EvaluatorLayer(NetworkLayer modelLayer)
{
Size = modelLayer.Size;
ModelLayer = modelLayer;
}
