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TensorPrimitives.Truncate.cs
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TensorPrimitives.Truncate.cs
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// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
using System.Diagnostics;
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.Arm;
using System.Runtime.Intrinsics.X86;
namespace System.Numerics.Tensors
{
public static partial class TensorPrimitives
{
/// <summary>Computes the element-wise truncation of numbers in the specified tensor.</summary>
/// <param name="x">The first 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] = T.Truncate(<paramref name="x" />[i])</c>.
/// </para>
/// </remarks>
public static void Truncate<T>(ReadOnlySpan<T> x, Span<T> destination)
where T : IFloatingPoint<T> =>
InvokeSpanIntoSpan<T, TruncateOperator<T>>(x, destination);
private readonly struct TruncateOperator<T> : IUnaryOperator<T, T> where T : IFloatingPoint<T>
{
public static bool Vectorizable => typeof(T) == typeof(float) || typeof(T) == typeof(double);
public static T Invoke(T x) => T.Truncate(x);
public static Vector128<T> Invoke(Vector128<T> x)
{
if (typeof(T) == typeof(float))
{
if (Sse41.IsSupported) return Sse41.RoundToZero(x.AsSingle()).As<float, T>();
if (AdvSimd.IsSupported) return AdvSimd.RoundToZero(x.AsSingle()).As<float, T>();
return Vector128.ConditionalSelect(Vector128.GreaterThanOrEqual(x, Vector128<T>.Zero),
Vector128.Floor(x.AsSingle()).As<float, T>(),
Vector128.Ceiling(x.AsSingle()).As<float, T>());
}
else
{
Debug.Assert(typeof(T) == typeof(double));
if (Sse41.IsSupported) return Sse41.RoundToZero(x.AsDouble()).As<double, T>();
if (AdvSimd.Arm64.IsSupported) return AdvSimd.Arm64.RoundToZero(x.AsDouble()).As<double, T>();
return Vector128.ConditionalSelect(Vector128.GreaterThanOrEqual(x, Vector128<T>.Zero),
Vector128.Floor(x.AsDouble()).As<double, T>(),
Vector128.Ceiling(x.AsDouble()).As<double, T>());
}
}
public static Vector256<T> Invoke(Vector256<T> x)
{
if (typeof(T) == typeof(float))
{
if (Avx.IsSupported) return Avx.RoundToZero(x.AsSingle()).As<float, T>();
return Vector256.ConditionalSelect(Vector256.GreaterThanOrEqual(x, Vector256<T>.Zero),
Vector256.Floor(x.AsSingle()).As<float, T>(),
Vector256.Ceiling(x.AsSingle()).As<float, T>());
}
else
{
Debug.Assert(typeof(T) == typeof(double));
if (Avx.IsSupported) return Avx.RoundToZero(x.AsDouble()).As<double, T>();
return Vector256.ConditionalSelect(Vector256.GreaterThanOrEqual(x, Vector256<T>.Zero),
Vector256.Floor(x.AsDouble()).As<double, T>(),
Vector256.Ceiling(x.AsDouble()).As<double, T>());
}
}
public static Vector512<T> Invoke(Vector512<T> x)
{
if (typeof(T) == typeof(float))
{
if (Avx512F.IsSupported) return Avx512F.RoundScale(x.AsSingle(), 0b11).As<float, T>();
return Vector512.ConditionalSelect(Vector512.GreaterThanOrEqual(x, Vector512<T>.Zero),
Vector512.Floor(x.AsSingle()).As<float, T>(),
Vector512.Ceiling(x.AsSingle()).As<float, T>());
}
else
{
Debug.Assert(typeof(T) == typeof(double));
if (Avx512F.IsSupported) return Avx512F.RoundScale(x.AsDouble(), 0b11).As<double, T>();
return Vector512.ConditionalSelect(Vector512.GreaterThanOrEqual(x, Vector512<T>.Zero),
Vector512.Floor(x.AsDouble()).As<double, T>(),
Vector512.Ceiling(x.AsDouble()).As<double, T>());
}
}
}
}
}