internal ErrorVectorStack(NeuralNetwork network, BufferAllocator allocator)
{
Contract.Requires(network != null);
Contract.Requires(allocator != null);
this.network = network;
int maxSize = network.RecurrentOptions.MaxIterations;
int errorVectorLength = network.OutputInterfaceLength;
errorVectors = new IntRange[maxSize];
for (int idx = 0; idx < maxSize; idx++)
{
errorVectors[idx] = allocator.Alloc(errorVectorLength);
}
}
public WeightRelatedValues(BufferAllocator allocator, ConnectedLayer[] layers)
{
Contract.Requires(allocator != null);
Contract.Requires(layers != null);
Contract.Requires(layers.Length > 0);
buffers = new IntRange[layers.Length][];
for (int layerIndex = 0; layerIndex < layers.Length; layerIndex++)
{
var wib = layers[layerIndex].WeightedInputBuffers;
buffers[layerIndex] = new IntRange[wib.Length];
for (int buffIndex = 0; buffIndex < wib.Length; buffIndex++)
{
buffers[layerIndex][buffIndex] = allocator.Alloc(wib[buffIndex].WeightBuffer.Size);
}
}
this.layers = layers;
}