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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.
namespace System.Numerics.Tensors
{
public static partial class TensorPrimitives
{
/// <summary>Computes the dot product of two tensors containing numbers.</summary>
/// <param name="x">The first tensor, represented as a span.</param>
/// <param name="y">The second tensor, represented as a span.</param>
/// <returns>The dot product.</returns>
/// <exception cref="ArgumentException">Length of <paramref name="x" /> must be same as length of <paramref name="y" />.</exception>
/// <remarks>
/// <para>
/// This method effectively computes the equivalent of:
/// <c>
/// Span<T> products = ...;
/// TensorPrimitives.Multiply(x, y, products);
/// T result = TensorPrimitives.Sum(products);
/// </c>
/// but without requiring additional temporary storage for the intermediate products. It corresponds to the <c>dot</c> method defined by <c>BLAS1</c>.
/// </para>
/// <para>
/// If any of the input elements is equal to <see cref="IFloatingPointIeee754{TSelf}.NaN"/>, the resulting value is also NaN.
/// </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 Dot<T>(ReadOnlySpan<T> x, ReadOnlySpan<T> y)
where T : IAdditionOperators<T, T, T>, IAdditiveIdentity<T, T>, IMultiplyOperators<T, T, T>, IMultiplicativeIdentity<T, T> =>
Aggregate<T, MultiplyOperator<T>, AddOperator<T>>(x, y);
}
}
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