public static RNN <T> CreateRNN(NETWORKTYPE networkType)
{
RNN <T> rnn = null;
switch (networkType)
{
case NETWORKTYPE.Forward:
rnn = new ForwardRNN <T>();
break;
case NETWORKTYPE.ForwardSeq2Seq:
rnn = new ForwardRNNSeq2Seq <T>();
break;
case NETWORKTYPE.ForwardSeq2SeqLabeling:
rnn = new ForwardRNNSeq2SeqLabeling <T>();
break;
case NETWORKTYPE.BiDirectional:
rnn = new BiRNN <T>();
break;
case NETWORKTYPE.BiDirectionalAverage:
rnn = new BiRNNAvg <T>();
break;
}
return(rnn);
}
public override RNN <T> Clone()
{
List <SimpleLayer> forwardLayers = new List <SimpleLayer>();
List <SimpleLayer> backwardLayers = new List <SimpleLayer>();
foreach (SimpleLayer layer in forwardHiddenLayers)
{
forwardLayers.Add(layer.CreateLayerSharedWegiths());
}
foreach (SimpleLayer layer in backwardHiddenLayers)
{
backwardLayers.Add(layer.CreateLayerSharedWegiths());
}
BiRNN <T> rnn = new BiRNN <T>();
rnn.InitCache(forwardLayers, backwardLayers, OutputLayer.CreateLayerSharedWegiths());
rnn.CRFWeights = CRFWeights;
rnn.MaxSeqLength = MaxSeqLength;
rnn.bVQ = bVQ;
rnn.IsCRFTraining = IsCRFTraining;
if (rnn.IsCRFTraining)
{
rnn.InitializeCRFVariablesForTraining();
}
return(rnn);
}
public override RNN <T> Clone()
{
List <SimpleLayer> forwardLayers = new List <SimpleLayer>();
List <SimpleLayer> backwardLayers = new List <SimpleLayer>();
foreach (SimpleLayer layer in forwardHiddenLayers)
{
forwardLayers.Add(layer.CreateLayerSharedWegiths());
}
foreach (SimpleLayer layer in backwardHiddenLayers)
{
backwardLayers.Add(layer.CreateLayerSharedWegiths());
}
BiRNN <T> rnn = new BiRNN <T>();
rnn.InitCache(forwardLayers, backwardLayers, OutputLayer.CreateLayerSharedWegiths());
rnn.CRFTagTransWeights = CRFTagTransWeights;
rnn.MaxSeqLength = MaxSeqLength;
rnn.crfLocker = crfLocker;
return(rnn);
}