public void EvenPool()
{
var Factory = Defaults.RawFactory;
var MeanPoolLayer = new PoolLayer()
{
Factory = Factory,
InputShape = new int[] { 3, 4, 4 },
KernelShape = new int[] { 1, 2, 2 },
Stride = new int[] { 1, 2, 2 }
};
MeanPoolLayer.Prepare();
var data = new double[1, 48];
for (int i = 0; i < 48; i++)
{
data[0, i] = i;
}
var m = Factory.GetEncryptedMatrix(Matrix <double> .Build.DenseOfArray(data), EMatrixFormat.ColumnMajor, 1);
Utils.ProcessInEnv(env =>
{
var t = MeanPoolLayer.Apply(m);
var res = t.Decrypt(env);
Assert.AreEqual(12, res.ColumnCount);
Assert.AreEqual(1, res.RowCount);
var expected = new double[] { 2.5, 4.5, 10.5, 12.5, 18.5, 20.5, 26.5, 28.5, 34.5, 36.5, 42.5, 44.5 };
for (int i = 0; i < 12; i++)
{
Assert.AreEqual(expected[i], res[0, i]);
}
t.Dispose();
m.Dispose();
}, Factory);
MeanPoolLayer.Dispose();
}
public void CryptoNetsPoolLayer()
{
OperationsCount.Reset();
int batchSize = 8192;
var Factory = new EncryptedSealBfvFactory(new ulong[] { 549764251649 /*, 549764284417*/ }, (ulong)batchSize);
int weightscale = 32;
var DenseLayer3 = new PoolLayer()
{
Source = new DummyLayer(),
InputShape = new int[] { 5 * 13 * 13 },
KernelShape = new int[] { 5 * 13 * 13 },
Stride = new int[] { 1000 },
MapCount = new int[] { 100 },
Weights = CryptoNets.CryptoNets.Transpose(Weights.Weights_1, 5 * 13 * 13, 100),
Bias = Weights.Biases_2,
WeightsScale = weightscale * weightscale,
Factory = Factory
};
DenseLayer3.Prepare();
var input = Matrix <double> .Build.Dense(8192, 5 * 13 * 13);
var m = Factory.GetEncryptedMatrix(input, EMatrixFormat.ColumnMajor, 1);
var start = DateTime.Now;
var z = DenseLayer3.Apply(m);
var stop = DateTime.Now;
var time = (stop - start).TotalMilliseconds;
Console.WriteLine("time {0}", time);
OperationsCount.Print();
z.Dispose();
m.Dispose();
DenseLayer3.Dispose();
}
