public void Serialize(IDataCombiner combiner)
{
ushort code;
byte[] parameters;
var attr = GetAttribute(combiner.GetType());
if (!registered_functions_via_code.ContainsKey(attr.code | DATA_COMBINER_SIGN))
{
throw new ArgumentException(
nameof(combiner), "this type of IDataCombiner is not registered.");
}
var serializer = registered_functions_via_code[attr.code | DATA_COMBINER_SIGN];
code = serializer.Code;
parameters = serializer.Serialize(combiner);
if ((parameters?.Length ?? 0) != serializer.ParameterLength)
{
throw new Exception("invalid parameters' length.");
}
// serialaize type and parameters
Serialize(code, parameters);
}
public NeuralNetworkInitializer SetDataCombiner(IDataCombiner combiner)
{
if (layers == null)
{
throw new Exception("The layers input is not set yet.");
}
if (combiner == null)
{
throw new ArgumentNullException(nameof(combiner));
}
combiners.Add(combiner);
images.Add(CloseCurrentImage());
return(this);
}
