|
// 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.CompilerServices;
using System.Runtime.InteropServices;
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.Arm;
using System.Runtime.Intrinsics.X86;
namespace System.Numerics.Tensors
{
public static partial class TensorPrimitives
{
/// <summary>Searches for the largest number in the specified tensor.</summary>
/// <param name="x">The tensor, represented as a span.</param>
/// <returns>The maximum element in <paramref name="x"/>.</returns>
/// <exception cref="ArgumentException">Length of <paramref name="x" /> must be greater than zero.</exception>
/// <remarks>
/// <para>
/// The determination of the maximum element matches the IEEE 754:2019 `maximumNumber` function. Positive 0 is considered greater than negative 0.
/// </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 T MinNumber<T>(ReadOnlySpan<T> x)
where T : INumber<T> =>
MinMaxCore<T, MinNumberOperator<T>>(x);
/// <summary>Computes the element-wise maximum of the numbers in the specified tensors.</summary>
/// <param name="x">The first tensor, represented as a span.</param>
/// <param name="y">The second tensor, represented as a span.</param>
/// <param name="destination">The destination tensor, represented as a span.</param>
/// <exception cref="ArgumentException">Length of <paramref name="x" /> must be same as length of <paramref name="y" />.</exception>
/// <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>
/// <exception cref="ArgumentException"><paramref name="y"/> 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"/>.MinNumber(<paramref name="x" />[i], <paramref name="y" />[i])</c>.
/// </para>
/// <para>
/// The determination of the maximum element matches the IEEE 754:2019 `maximumNumber` function. If either value is <see cref="IFloatingPointIeee754{TSelf}.NaN"/>
/// the other is returned. Positive 0 is considered greater than negative 0.
/// </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 MinNumber<T>(ReadOnlySpan<T> x, ReadOnlySpan<T> y, Span<T> destination)
where T : INumber<T> =>
InvokeSpanSpanIntoSpan<T, MinNumberOperator<T>>(x, y, destination);
/// <summary>Computes the element-wise maximum of the numbers in the specified tensors.</summary>
/// <param name="x">The first tensor, represented as a span.</param>
/// <param name="y">The second tensor, represented as a scalar.</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"/>.MinNumber(<paramref name="x" />[i], <paramref name="y" />)</c>.
/// </para>
/// <para>
/// The determination of the maximum element matches the IEEE 754:2019 `maximumNumber` function. If either value is <see cref="IFloatingPointIeee754{TSelf}.NaN"/>
/// the other is returned. Positive 0 is considered greater than negative 0.
/// </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 MinNumber<T>(ReadOnlySpan<T> x, T y, Span<T> destination)
where T : INumber<T> =>
InvokeSpanScalarIntoSpan<T, MinNumberOperator<T>>(x, y, destination);
/// <summary>T.MinNumber(x, y)</summary>
internal readonly struct MinNumberOperator<T> : IAggregationOperator<T> where T : INumber<T>
{
public static bool Vectorizable => true;
public static T Invoke(T x, T y) => T.MinNumber(x, y);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static Vector128<T> Invoke(Vector128<T> x, Vector128<T> y)
{
#if NET9_0_OR_GREATER
return Vector128.MinNumber(x, y);
#else
if ((typeof(T) == typeof(float)) || (typeof(T) == typeof(double)))
{
return Vector128.ConditionalSelect(
(Vector128.Equals(x, y) & IsNegative(x)) | IsNaN(y) | Vector128.LessThan(x, y),
x,
y
);
}
return Vector128.Min(x, y);
#endif
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static Vector256<T> Invoke(Vector256<T> x, Vector256<T> y)
{
#if NET9_0_OR_GREATER
return Vector256.MinNumber(x, y);
#else
if ((typeof(T) == typeof(float)) || (typeof(T) == typeof(double)))
{
return Vector256.ConditionalSelect(
(Vector256.Equals(x, y) & IsNegative(x)) | IsNaN(y) | Vector256.LessThan(x, y),
x,
y
);
}
return Vector256.Min(x, y);
#endif
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static Vector512<T> Invoke(Vector512<T> x, Vector512<T> y)
{
#if NET9_0_OR_GREATER
return Vector512.MinNumber(x, y);
#else
if ((typeof(T) == typeof(float)) || (typeof(T) == typeof(double)))
{
return Vector512.ConditionalSelect(
(Vector512.Equals(x, y) & IsNegative(x)) | IsNaN(y) | Vector512.LessThan(x, y),
x,
y
);
}
return Vector512.Min(x, y);
#endif
}
public static T Invoke(Vector128<T> x) => HorizontalAggregate<T, MinNumberOperator<T>>(x);
public static T Invoke(Vector256<T> x) => HorizontalAggregate<T, MinNumberOperator<T>>(x);
public static T Invoke(Vector512<T> x) => HorizontalAggregate<T, MinNumberOperator<T>>(x);
}
}
}
|