10 references to Invoke
System.Numerics.Tensors (10)
System\Numerics\Tensors\netcore\TensorPrimitives.Cbrt.cs (2)
37return ExpOperator<float>.Invoke(LogOperator<float>.Invoke(x.AsSingle()) / Vector128.Create(3f)).As<float, T>(); 42return ExpOperator<double>.Invoke(LogOperator<double>.Invoke(x.AsDouble()) / Vector128.Create(3d)).As<double, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cosh.cs (2)
80Vector128<float> z = ExpOperator<float>.Invoke(y - Vector128.Create((float)Single_LOGV)); 89Vector128<double> z = ExpOperator<double>.Invoke(y - Vector128.Create(Double_LOGV));
System\Numerics\Tensors\netcore\TensorPrimitives.ExpM1.cs (1)
35public static Vector128<T> Invoke(Vector128<T> x) => ExpOperator<T>.Invoke(x) - Vector128<T>.One;
System\Numerics\Tensors\netcore\TensorPrimitives.Pow.cs (2)
70return ExpOperator<float>.Invoke(y.AsSingle() * LogOperator<float>.Invoke(x.AsSingle())).As<float, T>(); 75return ExpOperator<double>.Invoke(y.AsDouble() * LogOperator<double>.Invoke(x.AsDouble())).As<double, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Sigmoid.cs (1)
41public static Vector128<T> Invoke(Vector128<T> x) => Vector128.Create(T.One) / (Vector128.Create(T.One) + ExpOperator<T>.Invoke(-x));
System\Numerics\Tensors\netcore\TensorPrimitives.Sinh.cs (2)
62Vector128<float> z = ExpOperator<float>.Invoke(y - Vector128.Create((float)Single_LOGV)); 73Vector128<double> z = ExpOperator<double>.Invoke(y - Vector128.Create(Double_LOGV));