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 DoubleTensorHyperbolics() { var x1 = DoubleTensor.Range(2f, 15f, 1f); Assert.NotNull(x1); Assert.True(1 == x1.Shape.Length); var xsin = x1.Sinh(); Assert.Equal(x1.Shape.Length, xsin.Shape.Length); Assert.Equal(x1.Shape[0], xsin.Shape[0]); for (var i = 0; i < x1.Shape[0]; ++i) { Assert.True(BasicTensorAPI.IsApproximatelyEqual(Math.Sinh(x1[i]), (double)xsin[i])); } var xcos = x1.Cosh(); Assert.Equal(x1.Shape.Length, xcos.Shape.Length); Assert.Equal(x1.Shape[0], xcos.Shape[0]); for (var i = 0; i < x1.Shape[0]; ++i) { Assert.True(BasicTensorAPI.IsApproximatelyEqual(Math.Cosh(x1[i]), (double)xcos[i])); } var xtan = x1.Tanh(); Assert.Equal(x1.Shape.Length, xtan.Shape.Length); Assert.Equal(x1.Shape[0], xtan.Shape[0]); for (var i = 0; i < x1.Shape[0]; ++i) { Assert.True(BasicTensorAPI.IsApproximatelyEqual(Math.Tanh(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 FloatTensorLog() { var x1 = FloatTensor.Range(2f, 100f, 1f); Assert.NotNull(x1); Assert.True(1 == x1.Shape.Length); var x2 = x1.Log(); Assert.Equal(x1.Shape.Length, x2.Shape.Length); Assert.Equal(x1.Shape[0], x2.Shape[0]); for (var i = 0; i < x1.Shape[0]; ++i) { Assert.True(BasicTensorAPI.IsApproximatelyEqual(Math.Log(x1[i]), (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 }