public void Generate(Tensor tensor, int batchSize, Dictionary <Agent, AgentInfo> agentInfo)
{
tensor.Shape[0] = batchSize;
var actionSize = tensor.Shape[tensor.Shape.Length - 1];
tensor.Data = new float[batchSize, actionSize];
_randomNormal.FillTensor(tensor);
}
public void RandomNormalTestDataNull()
{
RandomNormal rn = new RandomNormal(1982);
TensorProxy t = new TensorProxy
{
ValueType = TensorProxy.TensorType.FloatingPoint
};
Assert.Throws <ArgumentNullException>(() => rn.FillTensor(t));
}
public void RandomNormalTestTensorInt()
{
RandomNormal rn = new RandomNormal(1982);
TensorProxy t = new TensorProxy
{
ValueType = TensorProxy.TensorType.Integer
};
Assert.Throws <NotImplementedException>(() => rn.FillTensor(t));
}
public void RandomNormalTestTensor()
{
RandomNormal rn = new RandomNormal(1982);
Tensor t = new Tensor
{
ValueType = Tensor.TensorType.FloatingPoint,
Data = Array.CreateInstance(typeof(float), new long[3] {
3, 4, 2
})
};
rn.FillTensor(t);
float[] reference = new float[]
{
-0.2139822f,
0.5051259f,
-0.5640336f,
-0.3357787f,
-0.2055894f,
-0.09432302f,
-0.01419199f,
0.53621f,
-0.5507085f,
-0.2651141f,
0.09315512f,
-0.04918706f,
-0.179625f,
0.2280539f,
0.1883962f,
0.4047216f,
0.1704049f,
0.5050544f,
-0.3365685f,
0.3542781f,
0.5951571f,
0.03460682f,
-0.5537263f,
-0.4378373f,
};
int i = 0;
foreach (float f in t.Data)
{
Assert.AreEqual(f, reference[i], 0.0001);
++i;
}
}
public void RandomNormalTestTensor()
{
RandomNormal rn = new RandomNormal(1982);
TensorProxy t = new TensorProxy
{
ValueType = TensorProxy.TensorType.FloatingPoint,
Data = new Tensor(1, 3, 4, 2)
};
rn.FillTensor(t);
float[] reference = new float[]
{
-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);
}
}
public void Generate(TensorProxy tensorProxy, int batchSize, Dictionary <Agent, AgentInfo> agentInfo)
{
TensorUtils.ResizeTensor(tensorProxy, batchSize, _allocator);
_randomNormal.FillTensor(tensorProxy);
}
