public void AddConnection(string p_inLayerId, string p_outLayerId, Connection p_connecion)
{
NeuralGroup inGroup = _layers[p_inLayerId].OutputGroup;
NeuralGroup outGroup = _layers[p_outLayerId].InputGroup;
_connections.Add(p_connecion.Id, p_connecion);
if (inGroup != null)
{
inGroup.AddOutConnection(p_connecion);
}
if (outGroup != null)
{
outGroup.AddInConnection(p_connecion);
}
CreateGraphBase();
}
public Connection(NeuralGroup p_inGroup, NeuralGroup p_outGroup, bool p_trainable, string p_inLayer = null, string p_outLayer = null)
{
_id = GenID();
_inGroup = p_inGroup;
_outGroup = p_outGroup;
if (p_inGroup != null)
{
_inDim = p_inGroup.Dim;
}
else
{
_inDim = p_outGroup.Dim;
}
_outDim = p_outGroup.Dim;
_weights = BasePool.Instance.Get(_outDim, _inDim);
_trainable = p_trainable;
_inLayer = p_inLayer;
_outLayer = p_outLayer;
}
public Connection AddConnection(string p_inLayerId, string p_outLayerId, Connection.INIT p_init = Connection.INIT.UNIFORM, bool p_trainable = true, float p_limit = 0.05f)
{
NeuralGroup inGroup = _layers[p_inLayerId].OutputGroup;
NeuralGroup outGroup = _layers[p_outLayerId].InputGroup;
Connection connection = new Connection(inGroup, outGroup, p_trainable, _layers[p_inLayerId].Id, _layers[p_outLayerId].Id);
connection.Init(p_init, p_limit);
_connections.Add(connection.Id, connection);
if (inGroup != null)
{
inGroup.AddOutConnection(connection);
}
if (outGroup != null)
{
outGroup.AddInConnection(connection);
}
CreateGraphBase();
return(connection);
}
public Connection(string p_id, NeuralGroup p_inGroup, NeuralGroup p_outGroup, JSONObject p_data)
{
_id = p_id;
_inGroup = p_inGroup;
_outGroup = p_outGroup;
if (p_inGroup != null)
{
_inDim = p_inGroup.Dim;
}
else
{
_inDim = p_outGroup.Dim;
}
_outDim = p_outGroup.Dim;
int nRows = _outGroup.Dim;
int nCols = _inGroup == null ? _outGroup.Dim : _inGroup.Dim;
_weights = BasePool.Instance.Get(nRows, nCols);
byte[] buffer = Convert.FromBase64String(p_data["weights"].str);
MemoryStream stream = new MemoryStream(buffer);
BinaryReader reader = new BinaryReader(stream);
for (int i = 0; i < nRows; i++)
{
for (int j = 0; j < nCols; j++)
{
_weights[i, j] = reader.ReadSingle();
}
}
_trainable = p_data["trainable"].str.Equals("1");
_inLayer = p_data.HasField("inlayer") ? p_data["inlayer"].str : null;
_outLayer = p_data.HasField("outlayer") ? p_data["outlayer"].str : null;
}
