void InitComponentFeaturizer()
{
var fc = m_FeatureConfiguration;
m_SparseDimension = 0;
if (m_TFeaturizer != null)
{
if (fc.ContainsKey(TFEATURE_CONTEXT) == true)
{
m_SparseDimension += m_TFeaturizer.GetFeatureSize() * fc[TFEATURE_CONTEXT].Count;
}
}
if (fc.ContainsKey(RT_FEATURE_CONTEXT) == true)
{
m_SparseDimension += TagSet.GetSize() * fc[RT_FEATURE_CONTEXT].Count;
}
m_DenseDimension = 0;
if (m_WordEmbedding != null)
{
if (fc.ContainsKey(WORDEMBEDDING_CONTEXT) == true)
{
m_DenseDimension += m_WordEmbedding.GetDimension() * fc[WORDEMBEDDING_CONTEXT].Count;
}
}
}
public void ShowFeatureSize()
{
var fc = featureContext;
if (tFeaturizer != null)
{
Logger.WriteLine("Template feature size: {0}", tFeaturizer.GetFeatureSize());
}
if (fc.ContainsKey(TFEATURE_CONTEXT))
{
Logger.WriteLine("Template feature context size: {0}",
tFeaturizer.GetFeatureSize() * fc[TFEATURE_CONTEXT].Count);
}
if (fc.ContainsKey(RT_FEATURE_CONTEXT))
{
Logger.WriteLine("Run time feature size: {0}", TagSet.GetSize() * fc[RT_FEATURE_CONTEXT].Count);
}
if (fc.ContainsKey(WORDEMBEDDING_CONTEXT))
{
Logger.WriteLine("Pretrained dense feature size: {0}",
preTrainedModel.GetDimension() * fc[WORDEMBEDDING_CONTEXT].Count);
}
}