public static XArray RandomRandInt(Shape shape, double low, double high, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_RandInt(r.GetRef(), low, high);
return(r);
}
public static XArray Cast(XArray a, DType dtype)
{
XArray r = new XArray(a.Shape, a.DataType);
NativeWrapper.TS_Cast(a.GetRef(), (int)dtype, r.GetRef());
return(r);
}
public static XArray RandomFisherF(Shape shape, double m, double n, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_FisherF(r.GetRef(), m, n);
return(r);
}
public static XArray ReduceAll(XArray x, ReduceFunc op, double p1 = 0, int p2 = 0)
{
XArray r = new XArray(new Shape(1), x.DataType);
NativeWrapper.TS_ReduceAll(x.GetRef(), r.GetRef(), (int)op, p1, p2);
return(r);
}
public static XArray IsClose(XArray a, XArray b, double rtol = 1e-5, double atol = 1e-8, bool equal_nan = false)
{
XArray r = new XArray(a.Shape, a.DataType);
NativeWrapper.TS_IsClose(a.GetRef(), b.GetRef(), rtol, atol, equal_nan, r.GetRef());
return(r);
}
public static XArray Pow(XArray x, double value)
{
XArray r = new XArray(x.Shape, x.DataType);
NativeWrapper.TS_Pow(x.GetRef(), value, r.GetRef());
return(r);
}
public static XArray Clip(XArray x, double min, double max)
{
XArray r = new XArray(x.Shape, x.DataType);
NativeWrapper.TS_Clip(x.GetRef(), min, max, r.GetRef());
return(r);
}
public static XArray RandomPermutation(Shape shape, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_Permutation(r.GetRef());
return(r);
}
public static XArray BitwiseOps(XArray a, XArray b, ElementwiseFunc op)
{
XArray r = new XArray(a.Shape, a.DataType);
NativeWrapper.TS_Elementwise_2_Bitwise(a.GetRef(), b.GetRef(), r.GetRef(), (int)op);
return(r);
}
public static XArray RandomStudentT(Shape shape, double n, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_StudentT(r.GetRef(), n);
return(r);
}
public static XArray RandomNegativeBinomial(Shape shape, int k, double prob, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_NegativeBinomial(r.GetRef(), k, prob);
return(r);
}
public static XArray RandomCauchy(Shape shape, double a, double b, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_Cauchy(r.GetRef(), a, b);
return(r);
}
public static XArray Reduce(XArray x, int[] axes, double p1, int p2, int p3, ReduceFunc op)
{
unsafe
{
List <long> newshape = new List <long>();
for (int i = 0; i < x.Shape.Data.Length; i++)
{
if (!axes.Contains(i))
{
newshape.Add(x.Shape[i]);
}
else
{
newshape.Add(1);
}
}
fixed(int *axes_ptr = axes)
{
XArray r = new XArray(new Shape(newshape.ToArray()), x.DataType);
NativeWrapper.TS_Reduce(x.GetRef(), axes_ptr, axes.Length, r.GetRef(), p1, p2, p3, (int)op);
return(r);
}
}
}
public static XArray RandomLogNormal(Shape shape, double mean, double std_dev, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_LogNormal(r.GetRef(), mean, std_dev);
return(r);
}
public static XArray RandomGamma(Shape shape, double alpha, double beta, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_Gamma(r.GetRef(), alpha, beta);
return(r);
}
public static XArray RandomExponential(Shape shape, double rate, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_Exponential(r.GetRef(), rate);
return(r);
}
public static XArray AllClose(XArray a, XArray b, double rtol = 1e-5, double atol = 1e-8)
{
XArray r = new XArray(a.Shape, a.DataType);
NativeWrapper.TS_AllClose(a.GetRef(), b.GetRef(), rtol, atol, r.GetRef());
return(r);
}
public static XArray RandomChoice(Shape shape, int n, XArray weight, bool replace = true, DType dtype = DType.Float32)
{
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_ChoiceWithWeight(r.GetRef(), n, weight.GetRef(), replace);
return(r);
}
public static XArray RandomGeometric(Shape shape, double prob, DType dtype = DType.Int32)
{
if (dtype == DType.Float32 && dtype == DType.Float64)
{
throw new ArgumentException("Does not support float32 and float64");
}
XArray r = new XArray(shape, dtype);
NativeWrapper.TS_Random_Geometric(r.GetRef(), prob);
return(r);
}
public static XArray Accumulating(XArray x, int axis, ReduceFunc op)
{
List <long> newshape = new List <long>();
for (int i = 0; i < x.Shape.Data.Length; i++)
{
if (i != axis)
{
newshape.Add(x.Shape[i]);
}
else
{
newshape.Add(1);
}
}
XArray r = new XArray(new Shape(newshape.ToArray()), x.DataType);
NativeWrapper.TS_Accumulating(x.GetRef(), axis, r.GetRef(), (int)op);
return(r);
}
public static void Fill(XArray x, double value)
{
NativeWrapper.TS_Fill(x.GetRef(), value);
}
