/// <inheritdoc />
public override void Init(BasicNetwork theNetwork, IMLDataSet theTraining)
{
base.Init(theNetwork, theTraining);
int weightCount = theNetwork.Structure.Flat.Weights.Length;
_training = theTraining;
_network = theNetwork;
_hessianMatrix = new Matrix(weightCount, weightCount);
_hessian = _hessianMatrix.Data;
// create worker(s)
var determine = new DetermineWorkload(
ThreadCount, _training.Count);
_workers = new ChainRuleWorker[determine.ThreadCount];
int index = 0;
// handle CPU
foreach (IntRange r in determine.CalculateWorkers())
{
_workers[index++] = new ChainRuleWorker((FlatNetwork) _flat.Clone(),
_training.OpenAdditional(), r.Low,
r.High);
}
}
private void xd586e0c16bdae7fc()
{
IActivationFunction function;
DetermineWorkload workload;
int num2;
this._x0ba854627e1326f9 = new double[this._x87a7fc6a72741c2e.ActivationFunctions.Length];
if (!this.FixFlatSpot)
{
EngineArray.Fill(this._x0ba854627e1326f9, (double) 0.0);
goto Label_0045;
}
int index = 0;
if ((((uint) num2) - ((uint) num2)) >= 0)
{
goto Label_012E;
}
goto Label_014D;
Label_001D:
this.InitOthers();
if (8 != 0)
{
return;
}
Label_0045:
workload = new DetermineWorkload(this._xc2715388adc0d1f8, (int) this._x9d091b0a73271a88.Count);
this._xb542b50e13b3ecac = new GradientWorker[workload.ThreadCount];
num2 = 0;
foreach (IntRange range in workload.CalculateWorkers())
{
this._xb542b50e13b3ecac[num2++] = new GradientWorker((FlatNetwork) this._x87a7fc6a72741c2e.Clone(), this, this._x9d091b0a73271a88.OpenAdditional(), range.Low, range.High, this._x0ba854627e1326f9, this.ErrorFunction);
}
goto Label_001D;
if ((((uint) index) + ((uint) index)) <= uint.MaxValue)
{
goto Label_001D;
}
Label_0101:
this._x0ba854627e1326f9[index] = 0.0;
if ((((uint) index) - ((uint) num2)) < 0)
{
if ((((uint) num2) + ((uint) index)) > uint.MaxValue)
{
goto Label_014D;
}
goto Label_0101;
}
Label_012A:
index++;
Label_012E:
if (index < this._x87a7fc6a72741c2e.ActivationFunctions.Length)
{
function = this._x87a7fc6a72741c2e.ActivationFunctions[index];
}
else
{
goto Label_0045;
}
Label_014D:
if (function is ActivationSigmoid)
{
this._x0ba854627e1326f9[index] = 0.1;
goto Label_012A;
}
goto Label_0101;
}
/// <summary>
/// Init the process.
/// </summary>
///
private void Init()
{
// fix flat spot, if needed
_flatSpot = new double[_flat.ActivationFunctions.Length];
if (FixFlatSpot)
{
for (int i = 0; i < _flat.ActivationFunctions.Length; i++)
{
IActivationFunction af = _flat.ActivationFunctions[i];
if( af is ActivationSigmoid )
{
_flatSpot[i] = 0.1;
}
else
{
_flatSpot[i] = 0.0;
}
}
}
else
{
EngineArray.Fill(_flatSpot, 0.0);
}
var determine = new DetermineWorkload(
_numThreads, (int)_indexable.Count);
_workers = new GradientWorker[determine.ThreadCount];
int index = 0;
// handle CPU
foreach (IntRange r in determine.CalculateWorkers())
{
_workers[index++] = new GradientWorker(((FlatNetwork)_network.Flat.Clone()),
this, _indexable.OpenAdditional(), r.Low,
r.High, _flatSpot, ErrorFunction);
}
InitOthers();
}
