/// <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();
}
/// <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();
}