public void Test_Bias2D_DifferentData()
{
Data2D biases = null;
Bias2DLayer bias = new Bias2DLayer();
bias.SetWeights(biases);
}
public void Test_Bias2D_NullBias()
{
DataArray biases = null;
Bias2DLayer bias = new Bias2DLayer();
bias.SetWeights(biases);
}
public void Test_Bias2D_DifferentData_Input()
{
DataArray data = new DataArray(5);
DataArray biases = new DataArray(2);
biases[0] = 1.5;
biases[1] = 2.0;
Bias2DLayer bias = new Bias2DLayer();
bias.SetWeights(biases);
bias.SetInput(data);
}
public void Test_Bias2D_NullData()
{
Data2D data = null;
DataArray biases = new DataArray(2);
biases[0] = 1.5;
biases[1] = 2.0;
Bias2DLayer bias = new Bias2DLayer();
bias.SetWeights(biases);
bias.SetInput(data);
}
public void Test_Bias2D_Execute()
{
Data2D data = new Data2D(2, 3, 2, 1);
data[0, 0, 0, 0] = 4;
data[0, 1, 0, 0] = 5;
data[0, 2, 0, 0] = -2;
data[1, 0, 0, 0] = 6;
data[1, 1, 0, 0] = -1;
data[1, 2, 0, 0] = -3;
data[0, 0, 1, 0] = 1;
data[0, 1, 1, 0] = 2;
data[0, 2, 1, 0] = 3;
data[1, 0, 1, 0] = 0;
data[1, 1, 1, 0] = 9;
data[1, 2, 1, 0] = -3;
DataArray biases = new DataArray(2);
biases[0] = 1.5;
biases[1] = 2.0;
Bias2DLayer bias = new Bias2DLayer();
bias.SetWeights(biases);
bias.SetInput(data);
bias.Execute();
Data2D output = bias.GetOutput() as Data2D;
Assert.AreEqual(output[0, 0, 0, 0], 5.5, 0.00000001);
Assert.AreEqual(output[0, 1, 0, 0], 6.5, 0.00000001);
Assert.AreEqual(output[0, 2, 0, 0], -0.5, 0.00000001);
Assert.AreEqual(output[1, 0, 0, 0], 7.5, 0.00000001);
Assert.AreEqual(output[1, 1, 0, 0], 0.5, 0.00000001);
Assert.AreEqual(output[1, 2, 0, 0], -1.5, 0.00000001);
Assert.AreEqual(output[0, 0, 1, 0], 3.0, 0.00000001);
Assert.AreEqual(output[0, 1, 1, 0], 4.0, 0.00000001);
Assert.AreEqual(output[0, 2, 1, 0], 5.0, 0.00000001);
Assert.AreEqual(output[1, 0, 1, 0], 2.0, 0.00000001);
Assert.AreEqual(output[1, 1, 1, 0], 11.0, 0.00000001);
Assert.AreEqual(output[1, 2, 1, 0], -1.0, 0.00000001);
}