10 references to Invoke
System.Numerics.Tensors (10)
System\Numerics\Tensors\netcore\TensorPrimitives.Cbrt.cs (2)
50return ExpOperator<float>.Invoke(LogOperator<float>.Invoke(x.AsSingle()) / Vector256.Create(3f)).As<float, T>(); 55return ExpOperator<double>.Invoke(LogOperator<double>.Invoke(x.AsDouble()) / Vector256.Create(3d)).As<double, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Cosh.cs (2)
101Vector256<float> z = ExpOperator<float>.Invoke(y - Vector256.Create((float)Single_LOGV)); 110Vector256<double> z = ExpOperator<double>.Invoke(y - Vector256.Create(Double_LOGV));
System\Numerics\Tensors\netcore\TensorPrimitives.ExpM1.cs (1)
36public static Vector256<T> Invoke(Vector256<T> x) => ExpOperator<T>.Invoke(x) - Vector256<T>.One;
System\Numerics\Tensors\netcore\TensorPrimitives.Pow.cs (2)
83return ExpOperator<float>.Invoke(y.AsSingle() * LogOperator<float>.Invoke(x.AsSingle())).As<float, T>(); 88return ExpOperator<double>.Invoke(y.AsDouble() * LogOperator<double>.Invoke(x.AsDouble())).As<double, T>();
System\Numerics\Tensors\netcore\TensorPrimitives.Sigmoid.cs (1)
42public static Vector256<T> Invoke(Vector256<T> x) => Vector256.Create(T.One) / (Vector256.Create(T.One) + ExpOperator<T>.Invoke(-x));
System\Numerics\Tensors\netcore\TensorPrimitives.Sinh.cs (2)
87Vector256<float> z = ExpOperator<float>.Invoke(y - Vector256.Create((float)Single_LOGV)); 98Vector256<double> z = ExpOperator<double>.Invoke(y - Vector256.Create(Double_LOGV));