/// <inheritdoc/>
public override void Compute()
{
Clear();
double e = 0;
int weightCount = network.Flat.Weights.Length;
for (int outputNeuron = 0; outputNeuron < network.OutputCount; outputNeuron++)
{
// handle context
if (flat.HasContext)
{
_workers[0].Network.ClearContext();
}
if (_workers.Length > 1)
{
Parallel.ForEach(_workers, worker =>
{
worker.Run();
worker.OutputNeuron = outputNeuron;
});
}
else
{
_workers[0].OutputNeuron = outputNeuron;
_workers[0].Run();
}
// aggregate workers
foreach (ChainRuleWorker worker in _workers)
{
e += worker.Error;
for (int i = 0; i < weightCount; i++)
{
gradients[i] += worker.Gradients[i];
}
EngineArray.ArrayAdd(Hessian, worker.Hessian);
}
}
sse = e / 2;
}
