private void runBatch(ClassifiedSample <double[][, ]> sampleBatch)
{
// loop over batch
if (m_UseBatchParallelization)
{
Parallel.ForEach(sampleBatch, pdata => m_BatchContext.Push(pdata.Key, pdata.Value));
}
else
{
foreach (var pdata in sampleBatch)
{
runIteration(pdata.Key, pdata.Value);
}
}
// optimize and apply updates
m_Optimizer.Push(Net.Weights, m_Gradient, m_LearningRate);
// update batch stats
m_Iteration += m_BatchSize;
m_Batch++;
m_Step2 = m_Optimizer.Step2;
m_PrevLossValue = m_LossValue;
m_LossValue = m_IterLossValue;
m_LossDelta = m_LossValue - m_PrevLossValue;
m_IterLossValue = 0.0D;
if (BatchEndedEvent != null)
{
BatchEndedEvent(this, EventArgs.Empty);
}
}