protected Connection Connect(NeuralGroup p_g1, NeuralGroup p_g2, bool p_trainable = true)
{
Connection c = new Connection(p_g1, p_g2, p_trainable);
p_g1.AddOutConnection(c);
p_g2.AddInConnection(c);
_connections.Add(c.Id, c);
return(c);
}
public BaseLayer(JSONObject p_data)
{
_gradients = new Dictionary <string, Matrix>();
JSONObject groups = p_data["groups"];
_id = p_data["id"].str;
_type = (TYPE)Enum.Parse(typeof(TYPE), p_data["layer_type"].str);
_groups = new Dictionary <string, NeuralGroup>();
foreach (string key in groups.keys)
{
JSONObject layer = groups[key];
NeuralGroup g = new NeuralGroup(key, layer);
_groups.Add(key, g);
if (key.Equals(p_data["ingroup"].str))
{
_inputGroup = g;
}
if (key.Equals(p_data["outgroup"].str))
{
_outputGroup = g;
}
}
_connections = new Dictionary <string, Connection>();
if (p_data.HasField("connections"))
{
JSONObject connections = p_data["connections"];
foreach (string key in connections.keys)
{
JSONObject connection = connections[key];
NeuralGroup inGroup = connection.HasField("ingroup") ? _groups[connection["ingroup"].str] : null;
NeuralGroup outGroup = _groups[connection["outgroup"].str];
Connection c = new Connection(key, inGroup, outGroup, connection);
_connections.Add(key, c);
if (inGroup != null)
{
inGroup.AddOutConnection(c);
}
outGroup.AddInConnection(c);
}
}
}