public static float[] ConcatenateVector(VectorBase src1, float[] src2)
{
var dest = new float[src1.Length + src2.Length];
Parallel.Invoke(() => { src1.CopyTo().CopyTo(dest, 0); }
,
() => { src2.CopyTo(dest, src1.Length); });
return(dest);
}
public static double[] ConcatenateVector(VectorBase src1, double[] src2)
{
double[] dest = new double[src1.Length + src2.Length];
Parallel.Invoke(() =>
{
src1.CopyTo().CopyTo(dest, 0);
}
,
() =>
{
src2.CopyTo(dest, src1.Length);
});
return(dest);
}
public void SetInputLayer(State state, int curState, int numStates, int[] predicted, bool forward = true)
{
if (predicted != null && state.RuntimeFeatures != null)
{
// set runtime feature
for (int i = 0; i < state.RuntimeFeatures.Length; i++)
{
for (int j = 0; j < L2; j++)
{
//Clean up run time feature value and then set a new one
state.SetRuntimeFeature(i, j, 0);
}
int pos = curState + ((forward == true) ? 1 : -1) * state.RuntimeFeatures[i].OffsetToCurrentState;
if (pos >= 0 && pos < numStates)
{
state.SetRuntimeFeature(i, predicted[pos], 1);
}
}
}
neuFeatures = state.DenseData;
}