public NeuralLink(NeuralLayer layer_in, NeuralLayer layer_out, A_Func af)
{
Neural_In = layer_in;
Neural_Out = layer_out;
Back_Weight = new float[Neural_In.Number * Neural_Out.Number];
Back_Bias = new float[Neural_Out.Number];
Af = af;
}
public NeuralLink(NeuralLayer layer_in, NeuralLayer layer_out, A_Func af, float isBias, N_Type nt, int win_size)
{
Neural_In = layer_in;
Neural_Out = layer_out;
Nt = nt;
N_Winsize = win_size;
Af = af;
isHidBias = isBias;
Back_Weight = new float[Neural_In.Number * Neural_Out.Number * N_Winsize];
Back_Bias = new float[Neural_Out.Number];
}
/// <summary>
/// Load DSSM
/// </summary>
/// <param name="fileName"></param>
public void DSSM_Model_Load_NF(string fileName)
{
FileStream mstream = new FileStream(fileName, FileMode.Open, FileAccess.Read);
BinaryReader mreader = new BinaryReader(mstream);
List <int> layer_info = new List <int>();
int mlayer_num = mreader.ReadInt32();
for (int i = 0; i < mlayer_num; i++)
{
layer_info.Add(mreader.ReadInt32());
}
FEATURENUM = layer_info[0];
for (int i = 0; i < layer_info.Count; i++)
{
NeuralLayer layer = new NeuralLayer(layer_info[i]);
neurallayers.Add(layer);
}
int mlink_num = mreader.ReadInt32();
for (int i = 0; i < mlink_num; i++)
{
int in_num = mreader.ReadInt32();
int out_num = mreader.ReadInt32();
float inithidbias = mreader.ReadSingle();
float initweightsigma = mreader.ReadSingle();
int mws = mreader.ReadInt32();
N_Type mnt = (N_Type)mreader.ReadInt32();
P_Pooling mp = (P_Pooling)mreader.ReadInt32();
if (mnt == N_Type.Convolution_layer)
{
NeuralLink link = new NeuralLink(neurallayers[i], neurallayers[i + 1], A_Func.Tanh, 1, mnt, mws);
neurallinks.Add(link);
}
else if (mnt == N_Type.Fully_Connected)
{
NeuralLink link = new NeuralLink(neurallayers[i], neurallayers[i + 1], A_Func.Tanh);
neurallinks.Add(link);
}
}
for (int i = 0; i < mlink_num; i++)
{
int weight_len = mreader.ReadInt32(); // Write(neurallinks[i].Back_Weight.Length);
if (weight_len != neurallinks[i].Back_Weight.Length)
{
Console.WriteLine("Loading Model Weight Error! " + weight_len.ToString() + " " + neurallinks[i].Back_Weight.Length.ToString());
Console.ReadLine();
}
for (int m = 0; m < weight_len; m++)
{
neurallinks[i].Back_Weight[m] = mreader.ReadSingle();
}
int bias_len = mreader.ReadInt32();
if (bias_len != neurallinks[i].Back_Bias.Length)
{
Console.WriteLine("Loading Model Bias Error! " + bias_len.ToString() + " " + neurallinks[i].Back_Bias.Length.ToString());
Console.ReadLine();
}
for (int m = 0; m < bias_len; m++)
{
neurallinks[i].Back_Bias[m] = mreader.ReadSingle();
}
}
mreader.Close();
mstream.Close();
}
