public virtual void TestIsZero()
{
double[][] values = new double[][] { new double[] { 0.1, 0.2, 0.3, 0.4, 0.5 }, new double[] { 0.0, 0.0, 0.0, 0.0, 0.0 } };
SimpleMatrix vector1 = new SimpleMatrix(values);
NUnit.Framework.Assert.IsFalse(NeuralUtils.IsZero(vector1));
values = new double[][] { new double[] { 0.0, 0.0, 0.0, 0.0, 0.0 }, new double[] { 0.0, 0.0, 0.0, 0.0, 0.0 } };
vector1 = new SimpleMatrix(values);
NUnit.Framework.Assert.IsTrue(NeuralUtils.IsZero(vector1));
}
/// <summary>Output the tensor one slice at a time.</summary>
/// <remarks>
/// Output the tensor one slice at a time. Each number is output
/// with the format given, so for example "%f"
/// </remarks>
public virtual string ToString(string format)
{
StringBuilder result = new StringBuilder();
for (int slice = 0; slice < numSlices; ++slice)
{
result.Append("Slice ").Append(slice).Append("\n");
result.Append(NeuralUtils.ToString(slices[slice], format));
}
return(result.ToString());
}
/// <summary>Returns true iff every element of the tensor is 0</summary>
public virtual bool IsZero()
{
for (int i = 0; i < numSlices; ++i)
{
if (!NeuralUtils.IsZero(slices[i]))
{
return(false);
}
}
return(true);
}
public virtual void TestCosine()
{
double[][] values = new double[][] { new double[5] };
values[0] = new double[] { 0.1, 0.2, 0.3, 0.4, 0.5 };
SimpleMatrix vector1 = new SimpleMatrix(values);
values[0] = new double[] { 0.5, 0.4, 0.3, 0.2, 0.1 };
SimpleMatrix vector2 = new SimpleMatrix(values);
NUnit.Framework.Assert.AreEqual(NeuralUtils.Dot(vector1, vector2), 1e-5, 0.35000000000000003);
NUnit.Framework.Assert.AreEqual(NeuralUtils.Cosine(vector1, vector2), 1e-5, 0.6363636363636364);
vector1 = vector1.Transpose();
vector2 = vector2.Transpose();
NUnit.Framework.Assert.AreEqual(NeuralUtils.Dot(vector1, vector2), 1e-5, 0.35000000000000003);
NUnit.Framework.Assert.AreEqual(NeuralUtils.Cosine(vector1, vector2), 1e-5, 0.6363636363636364);
}