public GruLayer(BinaryReader reader) : base(reader)
{
_bxr = NeuroWeight <T> .Load(reader.BaseStream);
_bxz = NeuroWeight <T> .Load(reader.BaseStream);
_bxh = NeuroWeight <T> .Load(reader.BaseStream);
_bhr = NeuroWeight <T> .Load(reader.BaseStream);
_bhz = NeuroWeight <T> .Load(reader.BaseStream);
_bhh = NeuroWeight <T> .Load(reader.BaseStream);
_wxr = NeuroWeight <T> .Load(reader.BaseStream);
_wxz = NeuroWeight <T> .Load(reader.BaseStream);
_wxh = NeuroWeight <T> .Load(reader.BaseStream);
_whr = NeuroWeight <T> .Load(reader.BaseStream);
_whz = NeuroWeight <T> .Load(reader.BaseStream);
_whh = NeuroWeight <T> .Load(reader.BaseStream);
_lastH = MatrixFactory.Load <T>(reader.BaseStream);
_hiddenOnes = Matrix <T> .Build.Dense(_hSize, _lastH.ColumnCount, Matrix <T> .One);
RegisterWeights();
}
public static SequentialDataSet <T> Load(Stream stream)
{
using (var reader = new BinaryReader(stream, Encoding.UTF8, true))
{
int count = reader.ReadInt32();
var list = new List <Matrix <T> >(count);
for (int i = 0; i < count; i++)
{
list.Add(MatrixFactory.Load <T>(stream));
}
return(new SequentialDataSet <T>(list));
}
}
public static NeuroWeight <T> Load(Stream stream)
{
var result = new NeuroWeight <T>();
using (var reader = new BinaryReader(stream, Encoding.UTF8, true))
{
result.Weight = MatrixFactory.Load <T>(stream);
bool saveCache = reader.ReadBoolean();
bool saveGrad = reader.ReadBoolean();
if (saveCache)
{
result.Cache1 = MatrixFactory.Load <T>(stream);
result.Cache2 = MatrixFactory.Load <T>(stream);
result.CacheM = MatrixFactory.Load <T>(stream);
result.Timestep = reader.ReadInt32();
}
else
{
result.Cache1 = Matrix <T> .Build.Dense(result.Weight.RowCount, result.Weight.ColumnCount);
result.Cache2 = Matrix <T> .Build.Dense(result.Weight.RowCount, result.Weight.ColumnCount);
result.CacheM = Matrix <T> .Build.Dense(result.Weight.RowCount, result.Weight.ColumnCount);
}
if (saveGrad)
{
result.Gradient = MatrixFactory.Load <T>(stream);
}
else
{
result.Gradient = Matrix <T> .Build.Dense(result.Weight.RowCount, result.Weight.ColumnCount);
}
}
return(result);
}
public static Sample <T> Load(Stream stream)
{
return(new Sample <T>(MatrixFactory.Load <T>(stream), MatrixFactory.Load <T>(stream)));
}
