public void SumAsEinsteinSumMatchesSum()
{
var x = NN.Random.Uniform(-1f, 1f, 10);
var y = NN.Ones(1);
AssertArray.AreEqual(x.Sum(axis: 0), NN.EinsteinSum(x, y, "i,->"));
}
public void DotAsEinsteinSumMatchesDot()
{
var x = NN.Random.Uniform(-1f, 1f, 10, 20);
var y = NN.Random.Uniform(-1f, 1f, 20, 13);
AssertArray.AreAlmostEqual(x.Dot(y), NN.EinsteinSum(x, y, "ij,jk->ik"));
}
public void OuterAsEinsteinSumMatchesOuter()
{
var x = NN.Random.Uniform(-1f, 1f, 10);
var y = NN.Random.Uniform(-1f, 1f, 15);
AssertArray.AreEqual(x.Outer(y), NN.EinsteinSum(x, y, "i,j->ij"));
}
public static Array <float> EinsteinSum(Array <float> x, Array <float> y, string einstein) => NN.EinsteinSum(x, y, einstein);
