| File: System\Numerics\Tensors\netcore\TensorPrimitives.Exp2.cs | Web Access |
| Project: src\runtime\src\libraries\System.Numerics.Tensors\src\System.Numerics.Tensors.csproj (System.Numerics.Tensors) |
// Licensed to the .NET Foundation under one or more agreements. // The .NET Foundation licenses this file to you under the MIT license. using System.Runtime.Intrinsics; namespace System.Numerics.Tensors { public static partial class TensorPrimitives { /// <summary>Computes the element-wise result of raising 2 to the number powers in the specified tensor.</summary> /// <param name="x">The tensor, represented as a span.</param> /// <param name="destination">The destination tensor, represented as a span.</param> /// <exception cref="ArgumentException">Destination is too short.</exception> /// <exception cref="ArgumentException"><paramref name="x"/> and <paramref name="destination"/> reference overlapping memory locations and do not begin at the same location.</exception> /// <remarks> /// <para> /// This method effectively computes <c><paramref name="destination" />[i] = <typeparamref name="T"/>.Exp2(<paramref name="x" />[i])</c>. /// </para> /// <para> /// This method may call into the underlying C runtime or employ instructions specific to the current architecture. Exact results may differ between different /// operating systems or architectures. /// </para> /// </remarks> public static void Exp2<T>(ReadOnlySpan<T> x, Span<T> destination) where T : IExponentialFunctions<T> { if (typeof(T) == typeof(Half) && TryUnaryInvokeHalfAsInt16<T, Exp2Operator<float>>(x, destination)) { return; } InvokeSpanIntoSpan<T, Exp2Operator<T>>(x, destination); } /// <summary>T.Exp2(x)</summary> private readonly struct Exp2Operator<T> : IUnaryOperator<T, T> where T : IExponentialFunctions<T> { private const double NaturalLog2 = 0.6931471805599453; public static bool Vectorizable => typeof(T) == typeof(float) || typeof(T) == typeof(double); public static T Invoke(T x) => T.Exp2(x); public static Vector128<T> Invoke(Vector128<T> x) => ExpOperator<T>.Invoke(x * Vector128.Create(T.CreateTruncating(NaturalLog2))); public static Vector256<T> Invoke(Vector256<T> x) => ExpOperator<T>.Invoke(x * Vector256.Create(T.CreateTruncating(NaturalLog2))); public static Vector512<T> Invoke(Vector512<T> x) => ExpOperator<T>.Invoke(x * Vector512.Create(T.CreateTruncating(NaturalLog2))); } } }