private void ComputeTopLayer(Sequence pSequence, out Matrix <float> rawOutputLayer, RunningMode runningMode, bool outputRawScore)
{
var numStates = pSequence.States.Length;
var lastLayerOutputs = layersOutput[forwardHiddenLayers.Count - 1];
//Calculate output layer
Matrix <float> tmpOutputResult = null;
if (outputRawScore)
{
tmpOutputResult = new Matrix <float>(numStates, OutputLayer.LayerSize);
}
OutputLayer.LabelShortList = pSequence.States.Select(state => state.Label).ToList();
for (var curState = 0; curState < numStates; curState++)
{
var state = pSequence.States[curState];
OutputLayer.ForwardPass(state.SparseFeature, lastLayerOutputs[curState]);
OutputLayer.CopyNeuronTo(OutputCells[curState]);
if (outputRawScore)
{
OutputLayer.Cells.CopyTo(tmpOutputResult[curState], 0);
}
}
rawOutputLayer = tmpOutputResult;
}
