public Layer(GPUModule gpuModule, Layer previousLayer = null,int size = 0, string id = "", int miniBatchSize = Int32.MinValue)
{
if (previousLayer != null) MinibatchSize = previousLayer.MinibatchSize;
if (miniBatchSize != Int32.MinValue) MinibatchSize = miniBatchSize;
LayerIndex = IdCounter++;
Id = id;
if (String.IsNullOrEmpty(Id))
{
Id = "ID" + LayerIndex.ToString().PadLeft(2, '0');
}
_gpuModule = gpuModule;
_gpu = _gpuModule.Gpu;
PreviousLayer = previousLayer;
if (size != 0)
{
this.Size = size;
AddArray(ArrayName.Outputs, MinibatchSize, this.Size);
}
if ((previousLayer != null) && (size > 0))
{
AddArray(ArrayName.Gradients, MinibatchSize, size);
}
}
public MaxoutLayer(GPUModule gpuModule, Layer previousLayer, int groupSize = 2, string id = "") : base(gpuModule, previousLayer, id, createOutputs: false)
{
GroupSize = groupSize;
if (previousLayer.Size % GroupSize != 0) throw new ArgumentException("Invalid groupsize");
this.Size = previousLayer.Size / GroupSize;
AddArray(ArrayName.Outputs, previousLayer.MinibatchSize, this.Size);
AddArray(ArrayName.Gradients, previousLayer.MinibatchSize, this.Size);
AddIntArray(ArrayName.Winners, previousLayer.MinibatchSize, this.Size);
}
public ActivationLayer(GPUModule gpuModule, Layer previousLayer, string id = "", bool createOutputs = true) : base(gpuModule, previousLayer, 0, id)
{
if (createOutputs)
{
this.Size = previousLayer.Size;
AddArray(ArrayName.Outputs, previousLayer.MinibatchSize, this.Size);
AddArray(ArrayName.Gradients, previousLayer.MinibatchSize, this.Size);
}
}
public void DumpArray(Layer layer, ArrayName name, string filePrefix, string dir)
{
var arr = layer.GetArray(name);
if (arr != null)
{
var txt = arr.GetTxt();
var fileName = filePrefix + "_" + name.ToString() + ".txt";
var path = Path.Combine(dir, fileName);
File.WriteAllText(path, txt);
}
}
public void DumpLayer(Layer layer, string dir)
{
layer.CopyToHost();
var fileprefix = layer.Id + "_" + layer.GetType();
DumpArray(layer, ArrayName.Outputs, fileprefix, dir);
DumpArray(layer, ArrayName.Gradients, fileprefix, dir);
DumpArray(layer, ArrayName.Weights, fileprefix, dir);
DumpArray(layer, ArrayName.WeightUpdates, fileprefix, dir);
DumpArray(layer, ArrayName.LastWeightUpdates, fileprefix, dir);
DumpArray(layer, ArrayName.CorrectlyPredictedLabels, fileprefix, dir);
DumpArray(layer, ArrayName.BiasWeights, fileprefix, dir);
DumpArray(layer, ArrayName.BiasWeightUpdates, fileprefix, dir);
DumpArray(layer, ArrayName.LastBiasWeightUpdates, fileprefix, dir);
}
public FullyConnectedLayer(GPUModule gpuModule, Layer previousLayer, int size, string id = "") : base(gpuModule, previousLayer, size, id)
{
if (previousLayer != null)
{
AddArray(ArrayName.WeightUpdates, InputSize, this.Size);
AddArray(ArrayName.LastWeightUpdates, InputSize, this.Size);
AddArray(ArrayName.Weights, InputSize, this.Size);
AddArray(ArrayName.BiasWeights, this.Size);
AddArray(ArrayName.BiasWeightUpdates, this.Size);
AddArray(ArrayName.LastBiasWeightUpdates, this.Size);
var biasMultipliers = AddArray(ArrayName.BiasMultiplier, this.MinibatchSize, 1);
biasMultipliers.FillCPU(1f);
}
}
public static void SerializeLayer(XElement parent, Layer layer)
{
var layerElement = new XElement("Layer");
layerElement.AddElement("Id", layer.Id);
layerElement.AddElement("Size", layer.Size.ToString());
if (layer.HasWeights)
{
var weights = layer.GetArray(ArrayName.Weights);
var biasWeights = layer.GetArray(ArrayName.BiasWeights);
weights.CopyToHost();
biasWeights.CopyToHost();
layerElement.AddElement("Weights", SerializeArrayValues(weights));
layerElement.AddElement("BiasWeights", SerializeArrayValues(biasWeights));
}
parent.Add(layerElement);
}
public static void DeserializeLayer(XElement layerElement, Layer layer, params SerializationOptions[] options)
{
if (layer.HasWeights)
{
var weightsElement = layerElement.Element("Weights");
if (weightsElement == null) throw new Exception("Weights not found for layer : " + layer.Id);
var weightArray = layer.GetArray(ArrayName.Weights);
var newData = weightsElement.Value.Split('\n').Select(x => float.Parse(x, CultureInfo.InvariantCulture)).ToArray();
if (newData.Length != weightArray.CPUArray.Length) throw new Exception("Size of weight arrays dont match");
weightArray.CPUArray = newData;
var biasWeightElement = layerElement.Element("BiasWeights");
if (biasWeightElement == null) throw new Exception("BiasWeights not found for layer : " + layer.Id);
var biasArray = layer.GetArray(ArrayName.BiasWeights);
newData = biasWeightElement.Value.Split('\n').Select(x => float.Parse(x, CultureInfo.InvariantCulture)).ToArray();
if (newData.Length != biasArray.CPUArray.Length) throw new Exception("Size of weight arrays dont match");
biasArray.CPUArray = newData;
}
}
public TanhLayer(GPUModule gpuModule, Layer previousLayer, string id = "") : base(gpuModule, previousLayer, id)
{
}
public DropoutLayer(GPUModule gpuModule, Layer previousLayer, string id = "") : base(gpuModule, previousLayer, previousLayer.Size, id)
{
AddArray(ArrayName.DropoutMask, MinibatchSize, this.Size);
}
public CostLayer(GPUModule gpuModule, Layer previousLayer, DataLayer groundThruthLayer, int size, string id = "") : base(gpuModule, previousLayer, size, id)
{
GroundTruthLayer = groundThruthLayer;
}
