public void FloatTensorTrigonometrics()
{
var x1 = FloatTensor.Range(2f, 15f, 1f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var xsin = x1.Sin();
Assert.AreEqual(x1.Shape.Length, xsin.Shape.Length);
Assert.AreEqual(x1.Shape[0], xsin.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Sin(x1[i]), (double)xsin[i]));
}
var xcos = x1.Cos();
Assert.AreEqual(x1.Shape.Length, xcos.Shape.Length);
Assert.AreEqual(x1.Shape[0], xcos.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Cos(x1[i]), (double)xcos[i]));
}
var xtan = x1.Tan();
Assert.AreEqual(x1.Shape.Length, xtan.Shape.Length);
Assert.AreEqual(x1.Shape[0], xtan.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Tan(x1[i]), (double)xtan[i]));
}
}
public void DoubleTensorPower()
{
var x1 = DoubleTensor.Range(2f, 15f, 1f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var x2 = x1.Pow(2.0f);
Assert.AreEqual(x1.Shape.Length, x2.Shape.Length);
Assert.AreEqual(x1.Shape[0], x2.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Pow(x1[i], 2.0f), x2[i]));
}
var x3 = x1.TPow(2.0f);
Assert.AreEqual(x1.Shape.Length, x3.Shape.Length);
Assert.AreEqual(x1.Shape[0], x3.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Pow(2.0f, x1[i]), x3[i]));
}
}
public void DoubleTensorArcTrigonometrics()
{
var x1 = DoubleTensor.Range(0.0f, 0.99f, 0.05f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var xsin = x1.Asin();
Assert.AreEqual(x1.Shape.Length, xsin.Shape.Length);
Assert.AreEqual(x1.Shape[0], xsin.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Asin(x1[i]), (double)xsin[i]));
}
var xcos = x1.Acos();
Assert.AreEqual(x1.Shape.Length, xcos.Shape.Length);
Assert.AreEqual(x1.Shape[0], xcos.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Acos(x1[i]), (double)xcos[i]));
}
var xtan = x1.Atan();
Assert.AreEqual(x1.Shape.Length, xtan.Shape.Length);
Assert.AreEqual(x1.Shape[0], xtan.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Atan(x1[i]), (double)xtan[i]));
}
}
public void FloatTensorExp()
{
var x1 = FloatTensor.Range(2f, 15f, 1f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var x2 = x1.Exp();
Assert.AreEqual(x1.Shape.Length, x2.Shape.Length);
Assert.AreEqual(x1.Shape[0], x2.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Exp(x1[i]), (double)x2[i]));
}
}
public void DoubleTensorLog2()
{
var x1 = DoubleTensor.Range(2f, 100f, 1f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var x2 = x1.Log2();
Assert.AreEqual(x1.Shape.Length, x2.Shape.Length);
Assert.AreEqual(x1.Shape[0], x2.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Log(x1[i], 2.0), (double)x2[i]));
}
}
public void DoubleTensorUnaries()
{
var x1 = DoubleTensor.Range(2f, 15f, 1f);
Assert.IsNotNull(x1);
Assert.AreEqual(1, x1.Shape.Length);
var xsqrt = x1.Sqrt();
Assert.AreEqual(x1.Shape.Length, xsqrt.Shape.Length);
Assert.AreEqual(x1.Shape[0], xsqrt.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Sqrt(x1[i]), (double)xsqrt[i]));
}
x1 = DoubleTensor.Range(-15f, 15f, .1f);
var xceil = x1.Ceil();
Assert.AreEqual(x1.Shape.Length, xceil.Shape.Length);
Assert.AreEqual(x1.Shape[0], xceil.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Ceiling(x1[i]), (double)xceil[i]));
}
var xfloor = x1.Floor();
Assert.AreEqual(x1.Shape.Length, xfloor.Shape.Length);
Assert.AreEqual(x1.Shape[0], xfloor.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Floor(x1[i]), (double)xfloor[i]));
}
var xabs = x1.Abs();
Assert.AreEqual(x1.Shape.Length, xabs.Shape.Length);
Assert.AreEqual(x1.Shape[0], xabs.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Abs(x1[i]), (double)xabs[i]));
}
var xneg = x1.neg();
Assert.AreEqual(x1.Shape.Length, xneg.Shape.Length);
Assert.AreEqual(x1.Shape[0], xneg.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(-x1[i], (double)xneg[i]));
}
#if false
// DISABLED: libtorch appears to round away from zero for N.5, which means that comparing
// against Math.Round() will fail.
x1 = DoubleTensor.Range(0f, 15f, .1f);
var xrnd = x1.Round();
Assert.AreEqual(x1.Shape.Length, xrnd.Shape.Length);
Assert.AreEqual(x1.Shape[0], xrnd.Shape[0]);
for (var i = 0; i < x1.Shape[0]; ++i)
{
Console.WriteLine($"{x1[i]}, {Math.Round(x1[i])}, {(double)xrnd[i]}");
Assert.IsTrue(BasicTensorAPI.IsApproximatelyEqual(Math.Round(x1[i]), (double)xrnd[i]));
}
#endif
}