public override RNN <T> Clone()
{
List <SimpleLayer> hiddenLayers = new List <SimpleLayer>();
List <float[]>[] denseFeatureGroupsList = new List <float[]> [HiddenLayerList.Count];
int i = 0;
foreach (SimpleLayer layer in HiddenLayerList)
{
hiddenLayers.Add(layer.CreateLayerSharedWegiths());
denseFeatureGroupsList[i] = new List <float[]>();
i++;
}
List <float[]> denseFeatureGroupsOutputLayer = new List <float[]>();
ForwardRNNSeq2Seq <T> rnn = new ForwardRNNSeq2Seq <T>();
rnn.HiddenLayerList = hiddenLayers;
rnn.OutputLayer = OutputLayer.CreateLayerSharedWegiths();
rnn.CRFWeights = CRFWeights;
rnn.denseFeatureGroupsList = denseFeatureGroupsList;
rnn.denseFeatureGroupsOutputLayer = denseFeatureGroupsOutputLayer;
rnn.sparseFeatureGorups = new List <SparseVector>();
rnn.MaxSeqLength = MaxSeqLength;
rnn.bVQ = bVQ;
rnn.IsCRFTraining = IsCRFTraining;
if (rnn.IsCRFTraining)
{
rnn.InitializeCRFVariablesForTraining();
}
return(rnn);
}
public override RNN <T> Clone()
{
List <SimpleLayer> hiddenLayers = new List <SimpleLayer>();
foreach (SimpleLayer layer in HiddenLayerList)
{
hiddenLayers.Add(layer.CreateLayerSharedWegiths());
}
ForwardRNNSeq2Seq <T> rnn = new ForwardRNNSeq2Seq <T>();
rnn.HiddenLayerList = hiddenLayers;
rnn.OutputLayer = OutputLayer.CreateLayerSharedWegiths();
rnn.CRFWeights = CRFWeights;
rnn.MaxSeqLength = MaxSeqLength;
rnn.bVQ = bVQ;
rnn.IsCRFTraining = IsCRFTraining;
if (rnn.IsCRFTraining)
{
rnn.InitializeCRFVariablesForTraining();
}
return(rnn);
}
