public void RandomNormalTestDataNull()
{
var rn = new RandomNormal(1982);
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint
};
Assert.Throws <ArgumentNullException>(
() => TensorUtils.FillTensorWithRandomNormal(t, rn));
}
public void RandomNormalTestTensorInt()
{
var rn = new RandomNormal(1982);
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.Integer
};
Assert.Throws <NotImplementedException>(
() => TensorUtils.FillTensorWithRandomNormal(t, rn));
}
public void RandomNormalTestTensor()
{
var rn = new RandomNormal(1982);
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor(1, 3, 4, 2)
};
TensorUtils.FillTensorWithRandomNormal(t, rn);
var reference = new[]
{
-0.4315872f,
-1.11074f,
0.3414804f,
-1.130287f,
0.1413168f,
-0.5105762f,
-0.3027347f,
-0.2645015f,
1.225356f,
-0.02921959f,
0.3716498f,
-1.092338f,
0.9561074f,
-0.5018106f,
1.167787f,
-0.7763879f,
-0.07491868f,
0.5396146f,
-0.1377991f,
0.3331701f,
0.06144788f,
0.9520947f,
1.088157f,
-1.177194f,
};
for (var i = 0; i < t.data.length; i++)
{
Assert.AreEqual(t.data[i], reference[i], 0.0001);
}
}
