public CPUNeuralNetwork(ICollection<ConnectableLayer> layers, CPUNNInitParameters parameters)
: base(layers, parameters)
{
Contract.Requires(layers != null);
Contract.Requires(layers.Count != 0);
Contract.Requires(parameters != null);
}
internal void InitializeAlgo(BufferAllocator allocator, LearningRule rule, ConnectedLayer[] connectedLayers, CPUNNInitParameters initPars)
{
Contract.Requires(rule != null);
Contract.Requires(connectedLayers != null);
Contract.Requires(connectedLayers.Length > 0);
Contract.Requires(initPars != null);
Rule = rule;
ConnectedLayers = connectedLayers;
RunParallel = initPars.RunParallel;
Ininitalize(allocator);
}
private void BuildForwardComputation(BufferAllocator allocator, ConnectedLayerGroups connectedLayerGroups, CPUNNInitParameters initPars)
{
forwardComputeGroups = new LayerForwardCompute[connectedLayerGroups.Groups.Count][];
for (int groupIndex = 0; groupIndex < connectedLayerGroups.Groups.Count; groupIndex++)
{
var group = connectedLayerGroups.Groups[groupIndex];
forwardComputeGroups[groupIndex] = new LayerForwardCompute[group.Count];
for (int layerIndex = 0; layerIndex < group.Count; layerIndex++)
{
forwardComputeGroups[groupIndex][layerIndex] = CreateLayerForwardCompute(group[layerIndex], initPars);
}
}
}
private LayerForwardCompute CreateLayerForwardCompute(ConnectedLayer clayer, CPUNNInitParameters initPars)
{
LayerForwardCompute result = null;
if (clayer.Layer is ActivationLayer)
{
result = new ActivationLayerForwardCompute(clayer);
}
if (result == null) throw new InvalidOperationException("Cannot build CPU Neural Network, because '" + clayer.Layer.GetType().FullName + "' layer type is unknown.");
result.RunParallel = initPars.RunParallel;
return result;
}
