| File: System\Numerics\Tensors\netcore\TensorPrimitives.Log2P1.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 base 2 logarithm of numbers in the specified tensor plus 1.</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"/>.Log2P1(<paramref name="x" />[i])</c>. /// </para> /// <para> /// If a value equals 0, the result stored into the corresponding destination location is set to <see cref="IFloatingPointIeee754{TSelf}.NegativeInfinity"/>. /// If a value is negative or equal to <see cref="IFloatingPointIeee754{TSelf}.NaN"/>, the result stored into the corresponding destination location is set to NaN. /// If a value is positive infinity, the result stored into the corresponding destination location is set to <see cref="IFloatingPointIeee754{TSelf}.PositiveInfinity"/>. /// Otherwise, if a value is positive, its base 2 logarithm plus 1 is stored into the corresponding destination location. /// </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 Log2P1<T>(ReadOnlySpan<T> x, Span<T> destination) where T : ILogarithmicFunctions<T> { if (typeof(T) == typeof(Half) && TryUnaryInvokeHalfAsInt16<T, Log2P1Operator<float>>(x, destination)) { return; } InvokeSpanIntoSpan<T, Log2P1Operator<T>>(x, destination); } /// <summary>T.Log2P1(x)</summary> private readonly struct Log2P1Operator<T> : IUnaryOperator<T, T> where T : ILogarithmicFunctions<T> { public static bool Vectorizable => Log2Operator<T>.Vectorizable; public static T Invoke(T x) => T.Log2P1(x); public static Vector128<T> Invoke(Vector128<T> x) => Log2Operator<T>.Invoke(x + Vector128<T>.One); public static Vector256<T> Invoke(Vector256<T> x) => Log2Operator<T>.Invoke(x + Vector256<T>.One); public static Vector512<T> Invoke(Vector512<T> x) => Log2Operator<T>.Invoke(x + Vector512<T>.One); } } }