public static Tuple<INetwork, IFactory> LoLa(string FileName, bool Encrypt)
{
Console.WriteLine("LoLa mode");
Console.Write("Generating keys in ");
var start = DateTime.Now;
var Factory = Encrypt ? (IFactory)new EncryptedSealBfvFactory(new ulong[] { 557057, 638977, 737281, 786433 }, 8192) : new RawFactory(8192);
var end = DateTime.Now;
Console.WriteLine("{0} seconds", (end - start).TotalSeconds);
int weightscale = 32;
var readerLayer = new LLConvReader()
{
FileName = FileName,
SparseFormat = true,
NormalizationFactor = 1.0 / 256.0,
Scale = 16.0,
InputShape = new int[] { 28, 28 },
KernelShape = new int[] { 5, 5 },
Upperpadding = new int[] { 1, 1 },
Stride = new int[] { 2, 2 },
};
var encryptLayer = new EncryptLayer() { Source = readerLayer, Factory = Factory };
var ConvLayer1 = new LLPoolLayer()
{
Source = encryptLayer,
InputShape = new int[] { 28, 28 },
KernelShape = new int[] { 5, 5 },
Upperpadding = new int[] { 1, 1 },
Stride = new int[] { 2, 2 },
MapCount = new int[] { 5, 1 },
WeightsScale = weightscale,
Weights = Weights.Weights_0
};
var VectorizeLayer2 = new LLVectorizeLayer() { Source = ConvLayer1 };
//var ActivationLayer3 = new SquareActivation() { Source = VectorizeLayer2 };
var ActivationLayer3 = new AppxReLUActivation() { Source = VectorizeLayer2 };
//var ActivationLayer3 = new LeakyReLUActivation() { Source = VectorizeLayer2 };
//var ActivationLayer3 = new ReLUActivation() { Source = VectorizeLayer2 };
var DuplicateLayer4 = new LLDuplicateLayer() { Source = ActivationLayer3, Count = 8 };
var DenseLayer5 = new LLPackedDenseLayer()
{
Source = DuplicateLayer4,
Weights = Transpose(Weights.Weights_1, 5 * 13 * 13, 100),
Bias = Weights.Biases_2,
WeightsScale = weightscale * weightscale,
PackingCount = DuplicateLayer4.Count,
PackingShift = 1024
};
var InterleaveLayer6 = new LLInterleaveLayer()
{
Source = DenseLayer5,
Shift = -1,
SelectedIndices = Enumerable.Range(0, (int)DuplicateLayer4.Count).Select(i => 1023 + i * 1024).ToList()
};
//var ActivationLayer7 = new SquareActivation() { Source = InterleaveLayer6 };
var ActivationLayer7 = new AppxReLUActivation() { Source = InterleaveLayer6 };
//var ActivationLayer7 = new LeakyReLUActivation() { Source = InterleaveLayer6 };
//var ActivationLayer7 = new ReLUActivation() { Source = InterleaveLayer6 };
var DenseLayer8 = new LLInterleavedDenseLayer()
{
Source = ActivationLayer7,
Weights = Weights.Weights_3,
Bias = Weights.Biases_3,
WeightsScale = weightscale,
Shift = -1,
SelectedIndices = Enumerable.Range(0, (int)DuplicateLayer4.Count).Select(i => 1023 + i * 1024).ToList()
};
return new Tuple<INetwork, IFactory>(DenseLayer8, Factory);
}
public static Tuple<INetwork, IFactory> LoLaDense(string FileName, bool Encrypt)
{
Console.WriteLine("LoLa-Dense mode");
Console.Write("Generating keys in ");
var start = DateTime.Now;
var Factory = (Encrypt) ? (IFactory)new EncryptedSealBfvFactory(new ulong[] { 34359771137, 34360754177 }, 16384, DecompositionBitCount: 60, GaloisDecompositionBitCount: 60, SmallModulusCount: 7)
: (IFactory)new RawFactory(16384);
var end = DateTime.Now;
Console.WriteLine("{0} seconds", (end - start).TotalSeconds);
int weightscale = 32;
var readerLayer = new LLSingleLineReader()
{
FileName = FileName,
SparseFormat = true,
NormalizationFactor = 1.0 / 256.0,
Scale = 16.0,
};
var encryptLayer = new EncryptLayer() { Source = readerLayer, Factory = Factory };
var preConvLayer1 = new LLPreConvLayer()
{
Source = encryptLayer,
InputShape = new int[] { 28, 28 },
KernelShape = new int[] { 5, 5 },
Upperpadding = new int[] { 1, 1 },
Stride = new int[] { 2, 2 },
UseAxisForBlocks = new bool[] { true, true }
};
var ConvLayer2 = new LLPoolLayer()
{
Source = preConvLayer1,
InputShape = new int[] { 28, 28 },
KernelShape = new int[] { 5, 5 },
Upperpadding = new int[] { 1, 1 },
Stride = new int[] { 2, 2 },
MapCount = new int[] { 5, 1 },
WeightsScale = weightscale,
Weights = Weights.Weights_0,
HotIndices = preConvLayer1.HotIndices
};
var VectorizeLayer3 = new LLVectorizeLayer() { Source = ConvLayer2 };
//var ActivationLayer4 = new SquareActivation() { Source = VectorizeLayer3 };
var ActivationLayer4 = new AppxReLUActivation() { Source = VectorizeLayer3 };
//var ActivationLayer4 = new LeakyReLUActivation() { Source = VectorizeLayer3 };
//var ActivationLayer4 = new ReLUActivation() { Source = VectorizeLayer3 };
var DuplicateLayer5 = new LLDuplicateLayer() { Source = ActivationLayer4, Count = 16};
var DenseLayer6 = new LLPackedDenseLayer()
{
Source = DuplicateLayer5,
Weights = preConvLayer1.RearrangeWeights(Transpose(Weights.Weights_1, 5 * 13 * 13, 100)),
Bias = Weights.Biases_2,
WeightsScale = weightscale * weightscale,
PackingCount = DuplicateLayer5.Count,
PackingShift = 1024,
};
//var ActivationLayer7 = new SquareActivation() { Source = DenseLayer6 };
var ActivationLayer7 = new AppxReLUActivation() { Source = DenseLayer6 };
//var ActivationLayer7 = new LeakyReLUActivation() { Source = DenseLayer6 };
//var ActivationLayer7 = new ReLUActivation() { Source = DenseLayer6 };
var InterleaveLayer8 = new LLInterleaveLayer()
{
Source = ActivationLayer7,
Shift = -1,
SelectedIndices = Enumerable.Range(0, (int)DuplicateLayer5.Count).Select(i => 1023 + i * 1024).ToList()
};
var DenseLayer8 = new LLInterleavedDenseLayer()
{
Source = InterleaveLayer8,
Weights = Weights.Weights_3,
Bias = Weights.Biases_3,
WeightsScale = weightscale,
Shift = -1,
SelectedIndices = Enumerable.Range(0, (int)DuplicateLayer5.Count).Select(i => 1023 + i * 1024).ToList()
};
var network = DenseLayer8;
return new Tuple<INetwork, IFactory>(network, Factory);
}
