/// <summary>
/// Compute the output of bottom layer
/// </summary>
/// <param name="sequence"></param>
/// <param name="forwardLayer"></param>
/// <param name="backwardLayer"></param>
/// <returns></returns>
private void ComputeBottomLayer(Sequence sequence, ILayer forwardLayer, ILayer backwardLayer, RunningMode runningMode)
{
var numStates = sequence.States.Length;
//Computing forward RNN
forwardLayer.Reset();
for (var curState = 0; curState < numStates; curState++)
{
var state = sequence.States[curState];
forwardLayer.ForwardPass(state.SparseFeature, state.DenseFeature.CopyTo());
forwardLayer.CopyNeuronTo(forwardCellList[0][curState]);
}
//Computing backward RNN
backwardLayer.Reset();
for (var curState = numStates - 1; curState >= 0; curState--)
{
var state = sequence.States[curState];
backwardLayer.ForwardPass(state.SparseFeature, state.DenseFeature.CopyTo());
backwardLayer.CopyNeuronTo(backwardCellList[0][curState]);
}
//Merge forward and backward
MergeForwardBackwardLayers(numStates, forwardLayer.LayerSize, 0);
}
private void ComputeMiddleLayers(Sequence pSequence, ILayer forwardLayer, ILayer backwardLayer, RunningMode runningMode, int layerIdx)
{
var numStates = pSequence.States.Length;
float[][] lastLayerOutputs = layersOutput[layerIdx - 1];
//Computing forward RNN
forwardLayer.Reset();
for (var curState = 0; curState < numStates; curState++)
{
var state = pSequence.States[curState];
forwardLayer.ForwardPass(state.SparseFeature, lastLayerOutputs[curState]);
forwardLayer.CopyNeuronTo(forwardCellList[layerIdx][curState]);
}
//Computing backward RNN
backwardLayer.Reset();
for (var curState = numStates - 1; curState >= 0; curState--)
{
var state = pSequence.States[curState];
backwardLayer.ForwardPass(state.SparseFeature, lastLayerOutputs[curState]);
backwardLayer.CopyNeuronTo(backwardCellList[layerIdx][curState]);
}
//Merge forward and backward
MergeForwardBackwardLayers(numStates, forwardLayer.LayerSize, layerIdx);
}
