Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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122 行
2.4 KiB

using System;
using NUnit.Framework;
using MLAgents.InferenceBrain;
using MLAgents.InferenceBrain.Utils;
namespace MLAgents.Tests
{
public class RandomNormalTest
{
[Test]
public void RandomNormalTestTwoDouble()
{
RandomNormal rn = new RandomNormal(2018);
Assert.AreEqual(-0.46666, rn.NextDouble(), 0.0001);
Assert.AreEqual(-0.37989, rn.NextDouble(), 0.0001);
}
[Test]
public void RandomNormalTestWithMean()
{
RandomNormal rn = new RandomNormal(2018, 5.0f);
Assert.AreEqual(4.53333, rn.NextDouble(), 0.0001);
Assert.AreEqual(4.6201, rn.NextDouble(), 0.0001);
}
[Test]
public void RandomNormalTestWithStddev()
{
RandomNormal rn = new RandomNormal(2018, 1.0f, 4.2f);
Assert.AreEqual(-0.9599, rn.NextDouble(), 0.0001);
Assert.AreEqual(-0.5955, rn.NextDouble(), 0.0001);
}
[Test]
public void RandomNormalTestWithMeanStddev()
{
RandomNormal rn = new RandomNormal(2018, -3.2f, 2.2f);
Assert.AreEqual(-4.2266, rn.NextDouble(), 0.0001);
Assert.AreEqual(-4.0357, rn.NextDouble(), 0.0001);
}
[Test]
public void RandomNormalTestTensorInt()
{
RandomNormal rn = new RandomNormal(1982);
Tensor t = new Tensor
{
ValueType = Tensor.TensorType.Integer
};
Assert.Throws<NotImplementedException>(() => rn.FillTensor(t));
}
[Test]
public void RandomNormalTestDataNull()
{
RandomNormal rn = new RandomNormal(1982);
Tensor t = new Tensor
{
ValueType = Tensor.TensorType.FloatingPoint
};
Assert.Throws<ArgumentNullException>(() => rn.FillTensor(t));
}
[Test]
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;
}
}
}
}