private static void BuildAndSave(string pathPrefix)
{
Stopwatch clock;
List <float[]> sampleVectors;
var parameters = new Parameters();
parameters.EnableDistanceCacheForConstruction = true;
var world = new SmallWorld <float[], float>(CosineDistance.NonOptimized);
Console.Write($"Generating {SampleSize} sample vectos... ");
clock = Stopwatch.StartNew();
sampleVectors = RandomVectors(Dimensionality, SampleSize);
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
Console.WriteLine("Building HNSW graph... ");
using (var listener = new MetricsEventListener(EventSources.GraphBuildEventSource.Instance))
{
clock = Stopwatch.StartNew();
world.BuildGraph(sampleVectors, new Random(42), parameters);
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
}
Console.Write($"Saving HNSW graph to '${Path.Combine(Directory.GetCurrentDirectory(), pathPrefix)}'... ");
clock = Stopwatch.StartNew();
BinaryFormatter formatter = new BinaryFormatter();
MemoryStream sampleVectorsStream = new MemoryStream();
formatter.Serialize(sampleVectorsStream, sampleVectors);
File.WriteAllBytes($"{pathPrefix}.{VectorsPathSuffix}", sampleVectorsStream.ToArray());
File.WriteAllBytes($"{pathPrefix}.{GraphPathSuffix}", world.SerializeGraph());
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
}
public void SerializeDeserializeTest()
{
byte[] buffer;
string original;
// restrict scope of original graph
var stream = new MemoryStream();
{
var parameters = new SmallWorld <float[], float> .Parameters()
{
M = 15,
LevelLambda = 1 / Math.Log(15),
};
var graph = new SmallWorld <float[], float>(CosineDistance.NonOptimized, DefaultRandomGenerator.Instance, parameters);
graph.AddItems(vectors);
graph.SerializeGraph(stream);
original = graph.Print();
}
stream.Position = 0;
var copy = SmallWorld <float[], float> .DeserializeGraph(vectors, CosineDistance.NonOptimized, DefaultRandomGenerator.Instance, stream);
Assert.AreEqual(original, copy.Print());
}
public void SerializeDeserializeTest()
{
byte[] buffer;
string original;
// restrict scope of original graph
{
var parameters = new SmallWorld <float[], float> .Parameters()
{
M = 15,
LevelLambda = 1 / Math.Log(15),
};
var graph = new SmallWorld <float[], float>(CosineDistance.NonOptimized);
graph.BuildGraph(this.vectors, new Random(42), parameters);
buffer = graph.SerializeGraph();
original = graph.Print();
}
var copy = new SmallWorld <float[], float>(CosineDistance.NonOptimized);
copy.DeserializeGraph(this.vectors, buffer);
Assert.AreEqual(original, copy.Print());
}
private static void BuildAndSave(string pathPrefix)
{
var world = new SmallWorld <float[], float>(CosineDistance.SIMDForUnits, DefaultRandomGenerator.Instance, new Parameters()
{
EnableDistanceCacheForConstruction = true, InitialDistanceCacheSize = SampleSize, NeighbourHeuristic = NeighbourSelectionHeuristic.SelectHeuristic, KeepPrunedConnections = true, ExpandBestSelection = true
});
Console.Write($"Generating {SampleSize} sample vectos... ");
var clock = Stopwatch.StartNew();
var sampleVectors = RandomVectors(Dimensionality, SampleSize);
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
Console.WriteLine("Building HNSW graph... ");
using (var listener = new MetricsEventListener(EventSources.GraphBuildEventSource.Instance))
{
clock = Stopwatch.StartNew();
for (int i = 0; i < (SampleSize / SampleIncrSize); i++)
{
world.AddItems(sampleVectors.Skip(i * SampleIncrSize).Take(SampleIncrSize).ToArray());
Console.WriteLine($"\nAt {i+1} of {SampleSize / SampleIncrSize} Elapsed: {clock.ElapsedMilliseconds} ms.\n");
}
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
}
Console.Write($"Saving HNSW graph to '${Path.Combine(Directory.GetCurrentDirectory(), pathPrefix)}'... ");
clock = Stopwatch.StartNew();
BinaryFormatter formatter = new BinaryFormatter();
MemoryStream sampleVectorsStream = new MemoryStream();
formatter.Serialize(sampleVectorsStream, sampleVectors);
File.WriteAllBytes($"{pathPrefix}.{VectorsPathSuffix}", sampleVectorsStream.ToArray());
using (var f = File.Open($"{pathPrefix}.{GraphPathSuffix}", FileMode.Create))
{
world.SerializeGraph(f);
}
Console.WriteLine($"Done in {clock.ElapsedMilliseconds} ms.");
}
static void Main(string[] args)
{
var parameters = new SmallWorld <float[], float> .Parameters()
{
M = 50,
LevelLambda = 1 / Math.Log(15),
};
var r = new Random();
const int dimensions = 100;
var vectors = GetFloatVectors(dimensions, r);
var graph = new SmallWorld <float[], float>(CosineDistance.SIMD);
var stopWatch = new Stopwatch();
stopWatch.Start();
graph.BuildGraph(vectors, new Random(42), parameters);
stopWatch.Stop();
var buildTime = stopWatch.Elapsed;
Console.WriteLine($"graph build for {vectors.Count} items in {buildTime}");
byte[] buffer = graph.SerializeGraph();
Console.WriteLine($"graph serialized in {buffer.Length} bytes");
float[] query = GetRandomVector(dimensions, r);
for (var i = 0; i < 100; i++)
{
stopWatch = new Stopwatch();
stopWatch.Start();
var best20 = graph.KNNSearch(query, 20);
stopWatch.Stop();
buildTime = stopWatch.Elapsed;
Console.WriteLine($"Top 20 items retrieved in {buildTime}");
}
/*foreach (var item in best20)
* {
* Console.WriteLine($"{item.Id} -> {item.Distance}");
* }*/
}
