public void ComputeTwiceGradientShouldYieldTheSameResult()
{
const int inputWidth = 20;
const int inputHeight = 20;
const int inputDepth = 2;
var layer = new TanhLayer <double>();
layer.Init(inputWidth, inputHeight, inputDepth);
// Forward pass
var input = BuilderInstance <double> .Volume.Random(new Shape(inputWidth, inputHeight, inputDepth));
var output = layer.DoForward(input, true);
// Set output gradients to 1
var outputGradient = BuilderInstance <double> .Volume.SameAs(new double[output.Shape.TotalLength].Populate(1.0), output.Shape);
// Backward pass to retrieve gradients
layer.Backward(outputGradient);
var step1 = ((Volume <double>)layer.InputActivationGradients.Clone()).ToArray();
layer.Backward(outputGradient);
var step2 = ((Volume <double>)layer.InputActivationGradients.Clone()).ToArray();
Assert.IsTrue(step1.SequenceEqual(step2));
}
public void Forward()
{
const int inputWidth = 2;
const int inputHeight = 2;
const int inputDepth = 2;
const int inputBatchSize = 2;
var layer = new TanhLayer <double>();
layer.Init(inputWidth, inputHeight, inputDepth);
var input = new Volume.Double.Volume(new[]
{
1.0, 2.0,
3.0, 4.0,
5.0, 6.0,
7.0, 8.0,
9.0, 10.0,
11.0, 12.0,
13.0, 14.0,
15.0, 16.0
}, new Shape(inputWidth, inputHeight, inputDepth, inputBatchSize));
layer.DoForward(input);
for (int n = 0; n < 2; n++)
{
for (int c = 0; c < 2; c++)
{
for (int y = 0; y < 2; y++)
{
for (int x = 0; x < 2; x++)
{
Assert.AreEqual(Math.Tanh(input.Get(x, y, c, n)), layer.OutputActivation.Get(x, y, c, n));
}
}
}
}
}
