public void Test_GRU_DifferentData_Input()
{
DataArray data = new DataArray(5);
Data2D weights = new Data2D(1, 5, 5, 3);
GRULayer rnn = new GRULayer(5, 3, TanHLayer.TanHLambda, p => { });
rnn.SetWeights(weights);
rnn.SetInput(data);
}
public void Test_GRU_Null_Input()
{
Data2D data = null;
Data2D weights = new Data2D(1, 5, 5, 3);
GRULayer rnn = new GRULayer(5, 3, TanHLayer.TanHLambda, TanHLayer.TanHLambda);
rnn.SetWeights(weights);
rnn.SetInput(data);
}
public void Test_GRU_Execute_Linear()
{
// Initialize data.
Data2D data = new Data2D(1, 3, 3, 5);
int l = 0;
for (int b = 0; b < 5; ++b)
{
for (int w = 0; w < 3; ++w)
{
for (int c = 0; c < 3; ++c)
{
l += 1;
data[0, w, c, b] = (l % 5 + 1) / 10.0;
}
}
}
// Initialize parameters.
Data2D pms = new Data2D(2, 3, 2, 9);
int k = 0;
int bc = 0;
for (int i = 0; i < 3; ++i)
{
for (int u = 0; u < 6; ++u)
{
k += 1;
pms[u % 2, i, 0, bc] = (k % 5 - 2) / 10.0;
if (k % 2 == 0)
{
bc += 1;
bc = bc % 3;
}
}
}
k = 0;
bc = 0;
for (int i = 0; i < 2; ++i)
{
for (int u = 0; u < 6; ++u)
{
k += 1;
pms[u % 2, i, 0, 3 + bc] = (k % 5 - 2) / 10.0;
if (k % 2 == 0)
{
bc += 1;
bc = bc % 3;
}
}
}
pms[0, 0, 0, 6] = 1.0 / 10.0;
pms[0, 0, 1, 6] = 2.0 / 10.0;
pms[0, 0, 0, 7] = -1.0 / 10.0;
pms[0, 0, 1, 7] = 0.0 / 10;
pms[0, 0, 0, 8] = 3.0 / 10;
pms[0, 0, 1, 8] = 4.0 / 10;
GRULayer rnn = new GRULayer(2, 3, p => { }, p => { });
rnn.SetWeights(pms);
rnn.SetInput(data);
rnn.Execute();
Data2D output = rnn.GetOutput() as Data2D;
// Checking sizes
Dimension dim = output.GetDimension();
Assert.AreEqual(dim.b, 5);
Assert.AreEqual(dim.c, 2);
Assert.AreEqual(dim.h, 1);
Assert.AreEqual(dim.w, 1);
// Checking calculation
Assert.AreEqual(output[0, 0, 0, 0], 0.20213, 0.00001);
Assert.AreEqual(output[0, 0, 1, 0], 0.39285, 0.00001);
Assert.AreEqual(output[0, 0, 0, 1], 0.22716, 0.00001);
Assert.AreEqual(output[0, 0, 1, 1], 0.39534, 0.00001);
Assert.AreEqual(output[0, 0, 0, 2], 0.25739, 0.00001);
Assert.AreEqual(output[0, 0, 1, 2], 0.40368, 0.00001);
Assert.AreEqual(output[0, 0, 0, 3], 0.18944, 0.00001);
Assert.AreEqual(output[0, 0, 1, 3], 0.36951, 0.00001);
Assert.AreEqual(output[0, 0, 0, 4], 0.16984, 0.00001);
Assert.AreEqual(output[0, 0, 1, 4], 0.36987, 0.00001);
}
public void Test_GRU_Execute_ReLu()
{
// Initialize data.
Data2D data = new Data2D(1, 3, 3, 5);
int l = 0;
for (int b = 0; b < 5; ++b)
{
for (int w = 0; w < 3; ++w)
{
for (int c = 0; c < 3; ++c)
{
l += 1;
data[0, w, c, b] = (l % 5 + 1) / 10.0;
}
}
}
// Initialize parameters.
Data2D pms = new Data2D(2, 3, 2, 9);
int k = 0;
int bc = 0;
for (int i = 0; i < 3; ++i)
{
for (int u = 0; u < 6; ++u)
{
k += 1;
pms[u % 2, i, 0, bc] = (k % 5 - 2) / 10.0;
if (k % 2 == 0)
{
bc += 1;
bc = bc % 3;
}
}
}
k = 0;
bc = 0;
for (int i = 0; i < 2; ++i)
{
for (int u = 0; u < 6; ++u)
{
k += 1;
pms[u % 2, i, 0, 3 + bc] = (k % 5 - 2) / 10.0;
if (k % 2 == 0)
{
bc += 1;
bc = bc % 3;
}
}
}
pms[0, 0, 0, 6] = 1.0 / 10.0;
pms[0, 0, 1, 6] = 2.0 / 10.0;
pms[0, 0, 0, 7] = -1.0 / 10.0;
pms[0, 0, 1, 7] = 0.0 / 10;
pms[0, 0, 0, 8] = 3.0 / 10;
pms[0, 0, 1, 8] = 4.0 / 10;
GRULayer rnn = new GRULayer(2, 3, TanHKernel.TanHLambda, ReLuKernel.ReLuLambda);
rnn.SetWeights(pms);
rnn.SetInput(data);
rnn.Execute();
Data2D output = rnn.GetOutput() as Data2D;
// Checking sizes
Dimension dim = output.GetDimension();
Assert.AreEqual(dim.b, 5);
Assert.AreEqual(dim.c, 2);
Assert.AreEqual(dim.h, 1);
Assert.AreEqual(dim.w, 1);
// Checking calculation
Assert.AreEqual(output[0, 0, 0, 0], 0.19632, 0.00001);
Assert.AreEqual(output[0, 0, 1, 0], 0.37259, 0.00001);
Assert.AreEqual(output[0, 0, 0, 1], 0.21991, 0.00001);
Assert.AreEqual(output[0, 0, 1, 1], 0.37473, 0.00001);
Assert.AreEqual(output[0, 0, 0, 2], 0.24834, 0.00001);
Assert.AreEqual(output[0, 0, 1, 2], 0.38176, 0.00001);
Assert.AreEqual(output[0, 0, 0, 3], 0.18727, 0.00001);
Assert.AreEqual(output[0, 0, 1, 3], 0.35267, 0.00001);
Assert.AreEqual(output[0, 0, 0, 4], 0.166619, 0.00001);
Assert.AreEqual(output[0, 0, 1, 4], 0.35275, 0.00001);
}
