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92 lines
2.6 KiB
92 lines
2.6 KiB
using System;
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using System.Collections.Generic;
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using System.Numerics;
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namespace ZeroLevel.HNSW
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{
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public static class VectorUtils
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{
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public static List<float[]> RandomVectors(int vectorSize, int vectorsCount)
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{
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var vectors = new List<float[]>();
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for (int i = 0; i < vectorsCount; i++)
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{
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var vector = new float[vectorSize];
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DefaultRandomGenerator.Instance.NextFloats(vector);
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VectorUtils.NormalizeSIMD(vector);
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vectors.Add(vector);
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}
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return vectors;
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}
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public static float Magnitude(IList<float> vector)
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{
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float magnitude = 0.0f;
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for (int i = 0; i < vector.Count; ++i)
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{
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magnitude += vector[i] * vector[i];
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}
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return (float)Math.Sqrt(magnitude);
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}
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public static void Normalize(IList<float> vector)
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{
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float normFactor = 1f / Magnitude(vector);
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for (int i = 0; i < vector.Count; ++i)
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{
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vector[i] *= normFactor;
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}
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}
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public static float MagnitudeSIMD(float[] vector)
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{
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if (!Vector.IsHardwareAccelerated)
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{
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throw new NotSupportedException($"{nameof(VectorUtils.NormalizeSIMD)} is not supported");
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}
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float magnitude = 0.0f;
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int step = Vector<float>.Count;
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int i, to = vector.Length - step;
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for (i = 0; i <= to; i += Vector<float>.Count)
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{
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var vi = new Vector<float>(vector, i);
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magnitude += Vector.Dot(vi, vi);
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}
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for (; i < vector.Length; ++i)
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{
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magnitude += vector[i] * vector[i];
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}
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return (float)Math.Sqrt(magnitude);
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}
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public static void NormalizeSIMD(float[] vector)
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{
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if (!Vector.IsHardwareAccelerated)
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{
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throw new NotSupportedException($"{nameof(VectorUtils.NormalizeSIMD)} is not supported");
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}
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float normFactor = 1f / MagnitudeSIMD(vector);
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int step = Vector<float>.Count;
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int i, to = vector.Length - step;
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for (i = 0; i <= to; i += step)
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{
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var vi = new Vector<float>(vector, i);
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vi = Vector.Multiply(normFactor, vi);
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vi.CopyTo(vector, i);
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}
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for (; i < vector.Length; ++i)
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{
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vector[i] *= normFactor;
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}
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}
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}
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}
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