public TrainInfo TestDense(IDataset ts)
{
TrainInfo trInfo = new TrainInfo();
bool first = true;
Floatarray v = new Floatarray();
// Send Test Dataset to Lenet
for (int i = 0; i < ts.nSamples(); i++)
{
ts.Input(v, i);
if (v.Rank() == 1)
{
v.Reshape(csize, csize, 0, 0);
}
StdInput linput = new StdInput(v);
if (first)
{
first = false;
BeginTestEpoch(HrLenet, linput.Height, linput.Width, ts.nSamples()); // init test
}
try
{
if (C2i.ContainsKey(ts.Cls(i)))
{
AddSampleToTestOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ts.Cls(i)]);
}
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
{
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTestOfEpoch");
}
throw new Exception("Exception in AddSampleToTestOfEpoch\r\n" + e.Message);
}
}
// do test one epoch
try
{
EndAndRunTestEpoch(HrLenet, ref trInfo);
}
catch (Exception e)
{
GetStdout(sbout); // get test messages
if (sbout.Length > 0)
{
Global.Debugf("error", sbout.ToString() + "\r\nException in EndAndRunTestEpoch");
}
throw new Exception("Exception in EndAndRunTestEpoch\r\n" + e.Message);
}
return(trInfo);
}
protected override float Outputs(OutputVector result, Floatarray v)
{
result.Clear();
if (v.Rank() == 1)
{
v.Reshape(csize, csize, 0, 0);
}
// byte array input
StdInput vinput = new StdInput(v);
byte[] buffer = vinput.GetDataBuffer();
// char classifier compute outputs
if (CharClass.AsciiTarget)
{
// net output 0..~ (lower - winner)
CharClass.ComputeOutputs(buffer, vinput.Length, vinput.Height, vinput.Width, result);
}
else
{
// net output 0..1; (higher - winner)
CharClass.ComputeOutputsRaw(buffer, vinput.Length, vinput.Height, vinput.Width, result);
}
// junk classifier
if (PGetb("junk") && !DisableJunk && !JunkClass.IsEmpty)
{
OutputVector jv = new OutputVector();
if (JunkClass.AsciiTarget)
{
JunkClass.ComputeOutputs(buffer, vinput.Length, vinput.Height, vinput.Width, jv);
result[jc()] = jv.Value(1);
}
else
{
//result.Normalize();
result.Normalize2();
JunkClass.ComputeOutputsRaw(buffer, vinput.Length, vinput.Height, vinput.Width, jv);
jv.Normalize2();
for (int i = 0; i < result.nKeys(); i++)
{
result.Values[i] *= jv.Value(0);
}
result[jc()] = jv.Value(1);
}
}
return(0.0f);
}
public virtual TrainInfo TrainBatch(IDataset ds, IDataset ts, int epochs)
{
TrainInfo trInfo = new TrainInfo();
bool first = true;
Floatarray v = new Floatarray();
// Send Train Dataset to Lenet
for (int i = 0; i < ds.nSamples(); i++)
{
ds.Input(v, i);
if (v.Rank() == 1)
{
v.Reshape(csize, csize, 0, 0);
}
StdInput linput = new StdInput(v);
try
{
if (first)
{
first = false;
//StartRedirectStdout(); // start redirect cout to string buffer
BeginTrainEpoch(HrLenet, linput.Height, linput.Width, ds.nSamples(), ts.nSamples()); // init train
}
if (C2i.ContainsKey(ds.Cls(i)))
{
AddSampleToTrainOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ds.Cls(i)]);
}
else
{
Global.Debugf("error", "class '{0}' is not contained in the char list", (char)ds.Cls(i));
}
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
{
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTrainOfEpoch");
}
throw new Exception("Exception in AddSampleToTrainOfEpoch\r\n" + e.Message);
}
}
// Send Test Dataset to Lenet
for (int i = 0; i < ts.nSamples(); i++)
{
ts.Input(v, i);
if (v.Rank() == 1)
{
v.Reshape(csize, csize, 0, 0);
}
StdInput linput = new StdInput(v);
try
{
if (C2i.ContainsKey(ts.Cls(i)))
{
AddSampleToTestOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ts.Cls(i)]);
}
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
{
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTestOfEpoch");
}
throw new Exception("Exception in AddSampleToTestOfEpoch\r\n" + e.Message);
}
}
// debug save mnist
//SaveTrainMnist(HrLenet, "debug-images-idx3-ubyte", "debug-labels-idx1-ubyte");
// do train epochs
for (int epoch = 0; epoch < epochs; epoch++)
{
trInfo = new TrainInfo();
try
{
DateTime startDate = DateTime.Now;
EndAndRunTrainEpoch(HrLenet, ref trInfo); // do train one epoch
// show train info
Global.Debugf("info",
String.Format("|{0,7}| Energy:{1:0.#####} Correct:{2:0.00#%} Errors:{3:0.00#%} Count:{4} ",
trInfo.age, trInfo.energy, (trInfo.correct / (float)trInfo.size),
(trInfo.error / (float)trInfo.size), trInfo.size));
Global.Debugf("info",
String.Format(" TEST Energy={0:0.#####} Correct={1:0.00#%} Errors={2:0.00#%} Count={3} ",
trInfo.tenergy, (trInfo.tcorrect / (float)trInfo.tsize),
(trInfo.terror / (float)trInfo.tsize), trInfo.tsize));
TimeSpan spanTrain = DateTime.Now - startDate;
Global.Debugf("info", String.Format(" training time: {0} minutes, {1} seconds",
(int)spanTrain.TotalMinutes, spanTrain.Seconds));
// get dll stdout messages
GetStdout(sbout);
if (sbout.Length > 0)
{
Console.Write(sbout.ToString());
}
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
{
Global.Debugf("error", sbout.ToString() + "\r\nException in EndAndRunTrainEpoch");
}
throw new Exception("Exception in EndAndRunTrainEpoch\r\n" + e.Message);
}
}
return(trInfo);
}
protected override float Outputs(OutputVector result, Floatarray v)
{
result.Clear();
if (v.Rank() == 1)
v.Reshape(csize, csize, 0, 0);
// byte array input
StdInput vinput = new StdInput(v);
byte[] buffer = vinput.GetDataBuffer();
// char classifier compute outputs
if (CharClass.AsciiTarget)
// net output 0..~ (lower - winner)
CharClass.ComputeOutputs(buffer, vinput.Length, vinput.Height, vinput.Width, result);
else
// net output 0..1; (higher - winner)
CharClass.ComputeOutputsRaw(buffer, vinput.Length, vinput.Height, vinput.Width, result);
// junk classifier
if (PGetb("junk") && !DisableJunk && !JunkClass.IsEmpty)
{
OutputVector jv = new OutputVector();
if (JunkClass.AsciiTarget)
{
JunkClass.ComputeOutputs(buffer, vinput.Length, vinput.Height, vinput.Width, jv);
result[jc()] = jv.Value(1);
}
else
{
//result.Normalize();
result.Normalize2();
JunkClass.ComputeOutputsRaw(buffer, vinput.Length, vinput.Height, vinput.Width, jv);
jv.Normalize2();
for (int i = 0; i < result.nKeys(); i++)
result.Values[i] *= jv.Value(0);
result[jc()] = jv.Value(1);
}
}
return 0.0f;
}
public void Input1d(Floatarray v, int i)
{
Input(v, i);
v.Reshape(v.Length());
}
public virtual TrainInfo TrainBatch(IDataset ds, IDataset ts, int epochs)
{
TrainInfo trInfo = new TrainInfo();
bool first = true;
Floatarray v = new Floatarray();
// Send Train Dataset to Lenet
for (int i = 0; i < ds.nSamples(); i++)
{
ds.Input(v, i);
if (v.Rank() == 1)
v.Reshape(csize, csize, 0, 0);
StdInput linput = new StdInput(v);
try
{
if (first)
{
first = false;
//StartRedirectStdout(); // start redirect cout to string buffer
BeginTrainEpoch(HrLenet, linput.Height, linput.Width, ds.nSamples(), ts.nSamples()); // init train
}
if (C2i.ContainsKey(ds.Cls(i)))
AddSampleToTrainOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ds.Cls(i)]);
else
Global.Debugf("error", "class '{0}' is not contained in the char list", (char)ds.Cls(i));
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTrainOfEpoch");
throw new Exception("Exception in AddSampleToTrainOfEpoch\r\n" + e.Message);
}
}
// Send Test Dataset to Lenet
for (int i = 0; i < ts.nSamples(); i++)
{
ts.Input(v, i);
if (v.Rank() == 1)
v.Reshape(csize, csize, 0, 0);
StdInput linput = new StdInput(v);
try
{
if (C2i.ContainsKey(ts.Cls(i)))
AddSampleToTestOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ts.Cls(i)]);
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTestOfEpoch");
throw new Exception("Exception in AddSampleToTestOfEpoch\r\n" + e.Message);
}
}
// debug save mnist
//SaveTrainMnist(HrLenet, "debug-images-idx3-ubyte", "debug-labels-idx1-ubyte");
// do train epochs
for (int epoch = 0; epoch < epochs; epoch++)
{
trInfo = new TrainInfo();
try
{
DateTime startDate = DateTime.Now;
EndAndRunTrainEpoch(HrLenet, ref trInfo); // do train one epoch
// show train info
Global.Debugf("info",
String.Format("|{0,7}| Energy:{1:0.#####} Correct:{2:0.00#%} Errors:{3:0.00#%} Count:{4} ",
trInfo.age, trInfo.energy, (trInfo.correct / (float)trInfo.size),
(trInfo.error / (float)trInfo.size), trInfo.size) );
Global.Debugf("info",
String.Format(" TEST Energy={0:0.#####} Correct={1:0.00#%} Errors={2:0.00#%} Count={3} ",
trInfo.tenergy, (trInfo.tcorrect / (float)trInfo.tsize),
(trInfo.terror / (float)trInfo.tsize), trInfo.tsize));
TimeSpan spanTrain = DateTime.Now - startDate;
Global.Debugf("info", String.Format(" training time: {0} minutes, {1} seconds",
(int)spanTrain.TotalMinutes, spanTrain.Seconds));
// get dll stdout messages
GetStdout(sbout);
if (sbout.Length > 0)
Console.Write(sbout.ToString());
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
Global.Debugf("error", sbout.ToString() + "\r\nException in EndAndRunTrainEpoch");
throw new Exception("Exception in EndAndRunTrainEpoch\r\n" + e.Message);
}
}
return trInfo;
}
public TrainInfo TestDense(IDataset ts)
{
TrainInfo trInfo = new TrainInfo();
bool first = true;
Floatarray v = new Floatarray();
// Send Test Dataset to Lenet
for (int i = 0; i < ts.nSamples(); i++)
{
ts.Input(v, i);
if (v.Rank() == 1)
v.Reshape(csize, csize, 0, 0);
StdInput linput = new StdInput(v);
if (first)
{
first = false;
BeginTestEpoch(HrLenet, linput.Height, linput.Width, ts.nSamples()); // init test
}
try
{
if (C2i.ContainsKey(ts.Cls(i)))
AddSampleToTestOfEpoch(HrLenet, linput.GetDataBuffer(), linput.Length, C2i[ts.Cls(i)]);
}
catch (Exception e)
{
GetStdout(sbout); // get train messages
if (sbout.Length > 0)
Global.Debugf("error", sbout.ToString() + "\r\nException in AddSampleToTestOfEpoch");
throw new Exception("Exception in AddSampleToTestOfEpoch\r\n" + e.Message);
}
}
// do test one epoch
try
{
EndAndRunTestEpoch(HrLenet, ref trInfo);
}
catch (Exception e)
{
GetStdout(sbout); // get test messages
if (sbout.Length > 0)
Global.Debugf("error", sbout.ToString() + "\r\nException in EndAndRunTestEpoch");
throw new Exception("Exception in EndAndRunTestEpoch\r\n" + e.Message);
}
return trInfo;
}
public void Input1d(Floatarray v, int i)
{
Input(v, i);
v.Reshape(v.Length());
}