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Reorganizes NumericsHelpers into different files using partial classes. (#1514)
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Robust.Shared.Maths/NumericsHelpers.Multiply.cs
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295
Robust.Shared.Maths/NumericsHelpers.Multiply.cs
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using System;
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using System.Runtime.CompilerServices;
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using System.Runtime.Intrinsics;
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using System.Runtime.Intrinsics.Arm;
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using System.Runtime.Intrinsics.X86;
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namespace Robust.Shared.Maths
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{
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public static unsafe partial class NumericsHelpers
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{
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#region Multiply
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/// <summary>
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/// Multiplies a by b and stores the result in a.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void Multiply(Span<float> a, ReadOnlySpan<float> b)
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{
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Multiply(a, b, a);
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}
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/// <summary>
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/// Multiplies a by b and stores the result in s.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void Multiply(ReadOnlySpan<float> a, ReadOnlySpan<float> b, Span<float> s)
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{
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if (a.Length != b.Length || a.Length != s.Length)
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throw new ArgumentException("Length of arrays must be the same!");
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if (Enabled)
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{
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if (AvxEnabled && LengthValid256Single(a.Length))
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{
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MultiplyAvx(a, b, s);
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return;
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}
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if (LengthValid128Single(a.Length))
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{
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if (Sse.IsSupported)
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{
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MultiplySse(a, b, s);
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return;
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}
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if (AdvSimd.IsSupported)
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{
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MultiplyAdvSimd(a, b, s);
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return;
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}
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}
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}
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MultiplyNaive(a, b, s, 0, a.Length);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyNaive(ReadOnlySpan<float> a, ReadOnlySpan<float> b, Span<float> s, int start, int end)
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{
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for (var i = start; i < end; i++)
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{
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s[i] = a[i] * b[i];
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplySse(ReadOnlySpan<float> a, ReadOnlySpan<float> b, Span<float> s)
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{
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var remainder = a.Length & 3;
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var length = a.Length - remainder;
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fixed (float* ptr = a)
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{
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fixed (float* ptrB = b)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 4)
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{
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var j = Sse.LoadVector128(ptr + i);
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var k = Sse.LoadVector128(ptrB + i);
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Sse.Store(ptrS + i, Sse.Multiply(j, k));
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}
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyAdvSimd(ReadOnlySpan<float> a, ReadOnlySpan<float> b, Span<float> s)
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{
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var remainder = a.Length & 3;
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var length = a.Length - remainder;
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fixed (float* ptr = a)
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{
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fixed (float* ptrB = b)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 4)
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{
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var j = AdvSimd.LoadVector128(ptr + i);
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var k = AdvSimd.LoadVector128(ptrB + i);
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AdvSimd.Store(ptrS + i, AdvSimd.Multiply(j, k));
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}
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyAvx(ReadOnlySpan<float> a, ReadOnlySpan<float> b, Span<float> s)
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{
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var remainder = a.Length & 7;
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var length = a.Length - remainder;
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fixed (float* ptr = a)
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{
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fixed (float* ptrB = b)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 8)
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{
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var j = Avx.LoadVector256(ptr + i);
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var k = Avx.LoadVector256(ptrB + i);
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Avx.Store(ptrS + i, Avx.Multiply(j, k));
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}
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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#endregion
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#region MultiplyByScalar
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/// <summary>
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/// Multiply a by scalar b and stores the result in a.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void Multiply(Span<float> a, float b)
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{
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Multiply(a, b, a);
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}
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/// <summary>
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/// Multiply a by scalar b and stores the result in s.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void Multiply(ReadOnlySpan<float> a, float b, Span<float> s)
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{
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if (a.Length != s.Length)
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throw new ArgumentException("Length of arrays must be the same!");
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if (Enabled)
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{
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if (AvxEnabled && LengthValid256Single(a.Length))
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{
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MultiplyAvx(a, b, s);
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return;
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}
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if (LengthValid128Single(a.Length))
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{
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if (Sse.IsSupported)
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{
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MultiplySse(a, b, s);
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return;
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}
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if (AdvSimd.IsSupported)
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{
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MultiplyAdvSimd(a, b, s);
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return;
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}
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}
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}
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MultiplyNaive(a, b, s, 0, a.Length);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyNaive(ReadOnlySpan<float> a, float b, Span<float> s, int start, int end)
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{
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for (var i = start; i < end; i++)
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{
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s[i] = a[i] * b;
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplySse(ReadOnlySpan<float> a, float b, Span<float> s)
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{
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var remainder = a.Length & 3;
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var length = a.Length - remainder;
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var scalar = Vector128.Create(b);
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fixed (float* ptr = a)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 4)
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{
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var j = Sse.LoadVector128(ptr + i);
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Sse.Store(ptrS + i, Sse.Multiply(j, scalar));
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyAdvSimd(ReadOnlySpan<float> a, float b, Span<float> s)
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{
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var remainder = a.Length & 3;
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var length = a.Length - remainder;
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var scalar = Vector128.Create(b);
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fixed (float* ptr = a)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 4)
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{
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var j = AdvSimd.LoadVector128(ptr + i);
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AdvSimd.Store(ptrS + i, AdvSimd.Multiply(j, scalar));
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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private static void MultiplyAvx(ReadOnlySpan<float> a, float b, Span<float> s)
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{
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var remainder = a.Length & 7;
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var length = a.Length - remainder;
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var scalar = Vector256.Create(b);
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fixed (float* ptr = a)
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{
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fixed (float* ptrS = s)
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{
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for (var i = 0; i < length; i += 8)
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{
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var j = Avx.LoadVector256(ptr + i);
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Avx.Store(ptrS + i, Avx.Multiply(j, scalar));
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}
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}
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}
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if(remainder != 0)
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{
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MultiplyNaive(a, b, s, length, a.Length);
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}
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}
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#endregion
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}
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}
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