Offload node score buffers
This commit is contained in:
@@ -5,7 +5,7 @@ using System.Runtime.CompilerServices;
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namespace Craftimizer.Solver.Crafty;
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// Adapted from https://github.com/dtao/ConcurrentList/blob/4fcf1c76e93021a41af5abb2d61a63caeba2adad/ConcurrentList/ConcurrentList.cs
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public struct ArenaBuffer<T>
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public struct ArenaBuffer<T> where T : struct
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{
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// Technically 25, but it's very unlikely to actually get to there.
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// The benchmark reaches 20 at most, but here we have a little leeway just in case.
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@@ -17,39 +17,41 @@ public struct ArenaBuffer<T>
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private static int BatchCount = MaxSize / BatchSize;
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public T[][] Data;
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public ArenaNode<T>[][] Data;
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private int index; // Unused in single threaded workload
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private int count;
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public readonly int Count => count;
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public void AddConcurrent(T node)
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public void AddConcurrent(ArenaNode<T> node)
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{
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if (Data == null)
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Interlocked.CompareExchange(ref Data, new T[BatchCount][], null);
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Interlocked.CompareExchange(ref Data, new ArenaNode<T>[BatchCount][], null);
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var idx = Interlocked.Increment(ref index) - 1;
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var (arrayIdx, subIdx) = GetArrayIndex(idx);
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if (Data[arrayIdx] == null)
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Interlocked.CompareExchange(ref Data[arrayIdx], new T[BatchSize], null);
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Interlocked.CompareExchange(ref Data[arrayIdx], new ArenaNode<T>[BatchSize], null);
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node.ChildIdx = (arrayIdx, subIdx);
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Data[arrayIdx][subIdx] = node;
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Interlocked.Increment(ref count);
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}
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public void Add(T node)
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public void Add(ArenaNode<T> node)
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{
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Data ??= new T[BatchCount][];
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Data ??= new ArenaNode<T>[BatchCount][];
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var idx = count++;
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var (arrayIdx, subIdx) = GetArrayIndex(idx);
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Data[arrayIdx] ??= new T[BatchSize];
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Data[arrayIdx] ??= new ArenaNode<T>[BatchSize];
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node.ChildIdx = (arrayIdx, subIdx);
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Data[arrayIdx][subIdx] = node;
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}
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@@ -5,21 +5,30 @@ namespace Craftimizer.Solver.Crafty;
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public sealed class ArenaNode<T> where T : struct
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{
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public T State;
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public ArenaBuffer<ArenaNode<T>> Children;
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public ArenaBuffer<T> Children;
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public NodeScoresBuffer ChildScores;
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public (int arrayIdx, int subIdx) ChildIdx;
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public readonly ArenaNode<T>? Parent;
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public NodeScoresBuffer? ParentScores => Parent?.ChildScores;
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public ArenaNode(T state, ArenaNode<T>? parent = null)
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{
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State = state;
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Children = new();
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ChildScores = new();
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Parent = parent;
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}
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public ArenaNode<T> ChildAt((int arrayIdx, int subIdx) at) =>
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Children.Data[at.arrayIdx][at.subIdx];
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public ArenaNode<T> AddConcurrent(T state)
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{
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var node = new ArenaNode<T>(state, this);
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Children.AddConcurrent(node);
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ChildScores.AddConcurrent();
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return node;
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}
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@@ -28,6 +37,7 @@ public sealed class ArenaNode<T> where T : struct
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{
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var node = new ArenaNode<T>(state, this);
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Children.Add(node);
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ChildScores.Add();
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return node;
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}
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}
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@@ -4,9 +4,7 @@ namespace Craftimizer.Solver.Crafty;
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public interface ISolver
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{
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abstract static void LoadChildData(Span<float> scoreSums, Span<int> visits, Span<float> maxScores, ref Node[] chunk, int iterCount);
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abstract static bool SearchIter(ref SolverConfig config, RootScores rootScores, Node rootNode, Random random, Simulator simulator);
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abstract static bool SearchIter(ref SolverConfig config, Node rootNode, Random random, Simulator simulator);
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abstract static void Search(ref SolverConfig config, Node rootNode, CancellationToken token);
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abstract static void Search(ref SolverConfig config, RootScores rootScores, Node rootNode, CancellationToken token);
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}
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@@ -101,9 +101,8 @@ internal static class Intrinsics
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static int NthBitSet(uint value, int n)
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{
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// TODO: debug
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if (n >= BitOperations.PopCount(value))
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throw new ArgumentException(null, nameof(value));
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return 32;
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return Bmi2.IsSupported ?
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NthBitSetBMI2(value, n) :
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@@ -0,0 +1,90 @@
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using System;
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using System.ComponentModel;
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using System.Diagnostics.Contracts;
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using System.Numerics;
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using System.Runtime.CompilerServices;
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using System.Runtime.InteropServices;
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namespace Craftimizer.Solver.Crafty;
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// Adapted from https://github.com/dtao/ConcurrentList/blob/4fcf1c76e93021a41af5abb2d61a63caeba2adad/ConcurrentList/ConcurrentList.cs
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public struct NodeScoresBuffer
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{
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public sealed class ScoresBatch
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{
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public Memory<float> ScoreSum;
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public Memory<float> MaxScore;
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public Memory<int> Visits;
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public ScoresBatch()
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{
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ScoreSum = new float[BatchSize];
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MaxScore = new float[BatchSize];
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Visits = new int[BatchSize];
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}
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}
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// Technically 25, but it's very unlikely to actually get to there.
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// The benchmark reaches 20 at most, but here we have a little leeway just in case.
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private const int MaxSize = 24;
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private static int BatchSize = Vector<float>.Count;
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private static int BatchSizeBits = int.Log2(BatchSize);
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private static int BatchSizeMask = BatchSize - 1;
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private static int BatchCount = MaxSize / BatchSize;
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public ScoresBatch[] Data;
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private int index;
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private int count;
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public readonly int Count => count;
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public void AddConcurrent()
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{
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if (Data == null)
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Interlocked.CompareExchange(ref Data, new ScoresBatch[BatchCount], null);
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var idx = Interlocked.Increment(ref index) - 1;
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var (arrayIdx, _) = GetArrayIndex(idx);
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if (Data[arrayIdx] == null)
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Interlocked.CompareExchange(ref Data[arrayIdx], new ScoresBatch(), null);
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Interlocked.Increment(ref count);
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}
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public void Add()
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{
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Data ??= new ScoresBatch[BatchCount];
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var idx = count++;
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var (arrayIdx, _) = GetArrayIndex(idx);
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Data[arrayIdx] ??= new();
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}
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public readonly void VisitConcurrent((int arrayIdx, int subIdx) at, float score)
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{
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Intrinsics.CASAdd(ref Data[at.arrayIdx].ScoreSum.Span[at.subIdx], score);
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Intrinsics.CASMax(ref Data[at.arrayIdx].MaxScore.Span[at.subIdx], score);
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Interlocked.Increment(ref Data[at.arrayIdx].Visits.Span[at.subIdx]);
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}
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public readonly void Visit((int arrayIdx, int subIdx) at, float score)
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{
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Data[at.arrayIdx].ScoreSum.Span[at.subIdx] += score;
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Data[at.arrayIdx].MaxScore.Span[at.subIdx] = Math.Max(Data[at.arrayIdx].MaxScore.Span[at.subIdx], score);
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Data[at.arrayIdx].Visits.Span[at.subIdx]++;
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}
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public readonly int GetVisits((int arrayIdx, int subIdx) at) =>
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Data[at.arrayIdx].Visits.Span[at.subIdx];
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[Pure]
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static (int arrayIdx, int subIdx) GetArrayIndex(int idx) =>
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(idx >> BatchSizeBits, idx & BatchSizeMask);
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}
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@@ -3,7 +3,7 @@ using System.Runtime.InteropServices;
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namespace Craftimizer.Solver.Crafty;
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[StructLayout(LayoutKind.Auto)]
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public struct NodeScores
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public sealed class RootScores
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{
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public float ScoreSum;
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public float MaxScore;
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@@ -12,7 +12,6 @@ public struct SimulationNode
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public readonly CompletionState SimulationCompletionState;
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public ActionSet AvailableActions;
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public NodeScores Scores;
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public readonly CompletionState CompletionState => GetCompletionState(SimulationCompletionState, AvailableActions);
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@@ -7,29 +7,18 @@ namespace Craftimizer.Solver.Crafty;
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// https://github.com/alostsock/crafty/blob/cffbd0cad8bab3cef9f52a3e3d5da4f5e3781842/crafty/src/simulator.rs
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public sealed class SolverConcurrent : ISolver
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{
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void LoadChildData(Span<float> scoreSums, Span<int> visits, Span<float> maxScores, ref Node[] chunk, int iterCount)
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{
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for (var j = 0; j < iterCount; ++j)
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{
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var node = chunk[j]?.State.Scores ?? new();
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scoreSums[j] = node.ScoreSum;
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visits[j] = node.Visits;
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maxScores[j] = node.MaxScore;
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}
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}
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[Pure]
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static Node? EvalBestChild(ref SolverConfig config, int parentVisits, ref Node.ChildBuffer children) =>
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public static (int arrayIdx, int subIdx)? EvalBestChild(ref SolverConfig config, int parentVisits, ref NodeScoresBuffer children) =>
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parentVisits == 0 ?
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null :
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SolverUtils.EvalBestChild<SolverConcurrent>(ref config, parentVisits, ref children);
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[Pure]
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public static Node Select(ref SolverConfig config, Node rootNode)
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public static Node Select(ref SolverConfig config, int rootNodeVisits, Node rootNode)
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{
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var node = rootNode;
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var nodeVisits = rootNodeVisits;
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while (true)
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{
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var expandable = !node.State.AvailableActions.IsEmpty;
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@@ -39,11 +28,21 @@ public sealed class SolverConcurrent : ISolver
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// select the node with the highest score
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// if null (current node is invalid & not backpropagated just yet), try again from root
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node = EvalBestChild(ref config, node.State.Scores.Visits, ref node.Children) ?? rootNode;
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var at = EvalBestChild(ref config, nodeVisits, ref node.ChildScores);
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if (at.HasValue)
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{
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nodeVisits = node.ChildScores.GetVisits(at.Value);
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node = node.ChildAt(at.Value);
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}
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else
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{
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node = rootNode;
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nodeVisits = rootNodeVisits;
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}
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}
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}
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public static (Node ExpandedNode, float Score)? ExpandAndRollout(ref SolverConfig config, Node rootNode, Random random, Simulator simulator, Node initialNode)
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public static (Node ExpandedNode, float Score)? ExpandAndRollout(ref SolverConfig config, float maxScore, Node rootNode, Random random, Simulator simulator, Node initialNode)
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{
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ref var initialState = ref initialNode.State;
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// expand once
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@@ -55,43 +54,45 @@ public sealed class SolverConcurrent : ISolver
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return null;
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var expandedNode = initialNode.AddConcurrent(SolverUtils.Execute(simulator, initialState.State, poppedAction.Value, true));
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return SolverUtils.Rollout(ref config, rootNode, expandedNode, random, simulator);
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return SolverUtils.Rollout(ref config, maxScore, rootNode, expandedNode, random, simulator);
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}
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public static void Backpropagate(Node rootNode, Node startNode, float score)
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public static void Backpropagate(RootScores rootScores, Node rootNode, Node startNode, float score)
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{
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while (true)
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{
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startNode.State.Scores.VisitConcurrent(score);
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if (startNode == rootNode)
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{
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rootScores.VisitConcurrent(score);
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break;
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}
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startNode.ParentScores!.Value.VisitConcurrent(startNode.ChildIdx, score);
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startNode = startNode.Parent!;
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}
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}
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public static bool SearchIter(ref SolverConfig config, Node rootNode, Random random, Simulator simulator)
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public static bool SearchIter(ref SolverConfig config, RootScores rootScores, Node rootNode, Random random, Simulator simulator)
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{
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var selectedNode = Select(ref config, rootNode);
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var rolledOut = ExpandAndRollout(ref config, rootNode, random, simulator, selectedNode);
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var selectedNode = Select(ref config, rootScores.Visits, rootNode);
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var rolledOut = ExpandAndRollout(ref config, rootScores.MaxScore, rootNode, random, simulator, selectedNode);
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if (!rolledOut.HasValue)
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return false;
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var (endNode, score) = rolledOut.Value;
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Backpropagate(rootNode, endNode, score);
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Backpropagate(rootScores, rootNode, endNode, score);
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return true;
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}
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public static void SearchThread(SolverConfig config, Node rootNode, CancellationToken token) =>
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SolverUtils.Search<SolverConcurrent>(ref config, config.Iterations / config.ThreadCount, rootNode, token);
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public static void SearchThread(SolverConfig config, RootScores rootScores, Node rootNode, CancellationToken token) =>
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SolverUtils.Search<SolverConcurrent>(ref config, config.Iterations / config.ThreadCount, rootScores, rootNode, token);
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public static void Search(ref SolverConfig config, Node rootNode, CancellationToken token)
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public static void Search(ref SolverConfig config, RootScores rootScores, Node rootNode, CancellationToken token)
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{
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var configP = config;
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var tasks = new Task[config.ThreadCount];
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for (var i = 0; i < config.ThreadCount; ++i)
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tasks[i] = Task.Run(() => SearchThread(configP, rootNode, token), token);
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tasks[i] = Task.Run(() => SearchThread(configP, rootScores, rootNode, token), token);
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Task.WaitAll(tasks, CancellationToken.None);
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}
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}
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@@ -7,25 +7,13 @@ namespace Craftimizer.Solver.Crafty;
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// https://github.com/alostsock/crafty/blob/cffbd0cad8bab3cef9f52a3e3d5da4f5e3781842/crafty/src/simulator.rs
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public sealed class SolverSingle : ISolver
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{
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[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
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public static void LoadChildData(Span<float> scoreSums, Span<int> visits, Span<float> maxScores, ref Node[] chunk, int iterCount)
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{
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for (var j = 0; j < iterCount; ++j)
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{
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ref var node = ref chunk[j].State.Scores;
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scoreSums[j] = node.ScoreSum;
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visits[j] = node.Visits;
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maxScores[j] = node.MaxScore;
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}
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}
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[Pure]
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public static Node EvalBestChild(ref SolverConfig config, int parentVisits, ref Node.ChildBuffer children) =>
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public static (int arrayIdx, int subIdx) EvalBestChild(ref SolverConfig config, int parentVisits, ref NodeScoresBuffer children) =>
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SolverUtils.EvalBestChild<SolverSingle>(ref config, parentVisits, ref children);
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[Pure]
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public static Node Select(ref SolverConfig config, Node node)
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public static Node Select(ref SolverConfig config, int nodeVisits, Node node)
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{
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while (true)
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{
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@@ -35,11 +23,13 @@ public sealed class SolverSingle : ISolver
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return node;
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// select the node with the highest score
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node = EvalBestChild(ref config, node.State.Scores.Visits, ref node.Children);
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var at = EvalBestChild(ref config, nodeVisits, ref node.ChildScores);
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nodeVisits = node.ChildScores.GetVisits(at);
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node = node.ChildAt(at);
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}
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}
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public static (Node ExpandedNode, float Score) ExpandAndRollout(ref SolverConfig config, Node rootNode, Random random, Simulator simulator, Node initialNode)
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public static (Node ExpandedNode, float Score) ExpandAndRollout(ref SolverConfig config, float maxScore, Node rootNode, Random random, Simulator simulator, Node initialNode)
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{
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ref var initialState = ref initialNode.State;
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// expand once
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@@ -49,31 +39,33 @@ public sealed class SolverSingle : ISolver
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var poppedAction = initialState.AvailableActions.PopRandom(random);
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var expandedNode = initialNode.Add(SolverUtils.Execute(simulator, initialState.State, poppedAction, true));
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return SolverUtils.Rollout(ref config, rootNode, expandedNode, random, simulator);
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return SolverUtils.Rollout(ref config, maxScore, rootNode, expandedNode, random, simulator);
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}
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public static void Backpropagate(Node rootNode, Node startNode, float score)
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public static void Backpropagate(RootScores rootScores, Node rootNode, Node startNode, float score)
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{
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while (true)
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{
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startNode.State.Scores.Visit(score);
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if (startNode == rootNode)
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{
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rootScores.Visit(score);
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break;
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}
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startNode.ParentScores!.Value.Visit(startNode.ChildIdx, score);
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startNode = startNode.Parent!;
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}
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}
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public static bool SearchIter(ref SolverConfig config, Node rootNode, Random random, Simulator simulator)
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public static bool SearchIter(ref SolverConfig config, RootScores rootScores, Node rootNode, Random random, Simulator simulator)
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{
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var selectedNode = Select(ref config, rootNode);
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var (endNode, score) = ExpandAndRollout(ref config, rootNode, random, simulator, selectedNode);
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var selectedNode = Select(ref config, rootScores.Visits, rootNode);
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var (endNode, score) = ExpandAndRollout(ref config, rootScores.MaxScore, rootNode, random, simulator, selectedNode);
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Backpropagate(rootNode, endNode, score);
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Backpropagate(rootScores, rootNode, endNode, score);
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return true;
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}
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public static void Search(ref SolverConfig config, Node rootNode, CancellationToken token) =>
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SolverUtils.Search<SolverSingle>(ref config, config.Iterations, rootNode, token);
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public static void Search(ref SolverConfig config, RootScores rootScores, Node rootNode, CancellationToken token) =>
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SolverUtils.Search<SolverSingle>(ref config, config.Iterations, rootScores, rootNode, token);
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}
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@@ -39,35 +39,32 @@ public static class SolverUtils
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[Pure]
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
|
||||
public static Node ChildMaxScore(ref Node.ChildBuffer children)
|
||||
public static (int arrayIdx, int subIdx) ChildMaxScore(ref NodeScoresBuffer scores)
|
||||
{
|
||||
var length = children.Count;
|
||||
var length = scores.Count;
|
||||
var vecLength = Vector<float>.Count;
|
||||
|
||||
Span<float> scores = stackalloc float[vecLength];
|
||||
|
||||
var max = (0, 0);
|
||||
var maxScore = 0f;
|
||||
for (var i = 0; length > 0; ++i)
|
||||
{
|
||||
var iterCount = Math.Min(vecLength, length);
|
||||
|
||||
ref var chunk = ref children.Data[i];
|
||||
for (var j = 0; j < iterCount; ++j)
|
||||
scores[j] = chunk[j].State.Scores.MaxScore;
|
||||
ref var chunk = ref scores.Data[i];
|
||||
var m = new Vector<float>(chunk.MaxScore.Span);
|
||||
|
||||
var idx = Intrinsics.HMaxIndex(new Vector<float>(scores), iterCount);
|
||||
var idx = Intrinsics.HMaxIndex(m, iterCount);
|
||||
|
||||
if (scores[idx] >= maxScore)
|
||||
if (m[idx] >= maxScore)
|
||||
{
|
||||
max = (i, idx);
|
||||
maxScore = scores[idx];
|
||||
maxScore = m[idx];
|
||||
}
|
||||
|
||||
length -= iterCount;
|
||||
}
|
||||
|
||||
return children.Data[max.Item1][max.Item2];
|
||||
return max;
|
||||
}
|
||||
|
||||
[Pure]
|
||||
@@ -76,7 +73,7 @@ public static class SolverUtils
|
||||
var actions = new List<ActionType>();
|
||||
while (node.Children.Count != 0)
|
||||
{
|
||||
node = ChildMaxScore(ref node.Children);
|
||||
node = node.ChildAt(ChildMaxScore(ref node.ChildScores));
|
||||
|
||||
if (node.State.Action != null)
|
||||
actions.Add(node.State.Action.Value);
|
||||
@@ -87,9 +84,9 @@ public static class SolverUtils
|
||||
|
||||
[Pure]
|
||||
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
|
||||
public static Node EvalBestChild<S>(ref SolverConfig config, int parentVisits, ref Node.ChildBuffer children) where S : ISolver
|
||||
public static (int arrayIdx, int subIdx) EvalBestChild<S>(ref SolverConfig config, int parentVisits, ref NodeScoresBuffer scores) where S : ISolver
|
||||
{
|
||||
var length = children.Count;
|
||||
var length = scores.Count;
|
||||
var vecLength = Vector<float>.Count;
|
||||
|
||||
var C = MathF.Sqrt(config.ExplorationConstant * MathF.Log(parentVisits));
|
||||
@@ -107,13 +104,14 @@ public static class SolverUtils
|
||||
{
|
||||
var iterCount = Math.Min(vecLength, length);
|
||||
|
||||
S.LoadChildData(scoreSums, visits, maxScores, ref children.Data[i], iterCount);
|
||||
ref var chunk = ref scores.Data[i];
|
||||
var s = new Vector<float>(chunk.ScoreSum.Span);
|
||||
var vInt = new Vector<int>(chunk.Visits.Span);
|
||||
var m = new Vector<float>(chunk.MaxScore.Span);
|
||||
|
||||
var s = new Vector<float>(scoreSums);
|
||||
var m = new Vector<float>(maxScores);
|
||||
var vInt = new Vector<int>(visits);
|
||||
vInt = Vector.Max(vInt, Vector<int>.One);
|
||||
var v = Vector.ConvertToSingle(vInt);
|
||||
|
||||
var exploitation = (W * (s / v)) + (w * m);
|
||||
var exploration = CVector * Intrinsics.ReciprocalSqrt(v);
|
||||
var evalScores = exploitation + exploration;
|
||||
@@ -129,11 +127,11 @@ public static class SolverUtils
|
||||
length -= iterCount;
|
||||
}
|
||||
|
||||
return children.Data[max.Item1][max.Item2];
|
||||
return max;
|
||||
}
|
||||
|
||||
[MethodImpl(MethodImplOptions.AggressiveInlining)]
|
||||
public static (Node ExpandedNode, float Score) Rollout(ref SolverConfig config, Node rootNode, Node expandedNode, Random random, Simulator simulator)
|
||||
public static (Node ExpandedNode, float Score) Rollout(ref SolverConfig config, float maxScore, Node rootNode, Node expandedNode, Random random, Simulator simulator)
|
||||
{
|
||||
// playout to a terminal state
|
||||
var currentState = expandedNode.State.State;
|
||||
@@ -157,7 +155,7 @@ public static class SolverUtils
|
||||
var score = SimulationNode.CalculateScoreForState(currentState, currentCompletionState, config.MaxStepCount) ?? 0;
|
||||
if (currentCompletionState == CompletionState.ProgressComplete)
|
||||
{
|
||||
if (score >= config.ScoreStorageThreshold && score >= rootNode.State.Scores.MaxScore)
|
||||
if (score >= config.ScoreStorageThreshold && score >= maxScore)
|
||||
{
|
||||
(var terminalNode, _) = ExecuteActions(simulator, expandedNode, actions[..actionCount], true);
|
||||
return (terminalNode, score);
|
||||
@@ -167,7 +165,7 @@ public static class SolverUtils
|
||||
}
|
||||
|
||||
[MethodImpl(MethodImplOptions.AggressiveInlining)]
|
||||
public static void Search<S>(ref SolverConfig config, int iterations, Node rootNode, CancellationToken token) where S : ISolver
|
||||
public static void Search<S>(ref SolverConfig config, int iterations, RootScores rootScores, Node rootNode, CancellationToken token) where S : ISolver
|
||||
{
|
||||
Simulator simulator = new(rootNode.State.State, config.MaxStepCount);
|
||||
var random = rootNode.State.State.Input.Random;
|
||||
@@ -176,7 +174,7 @@ public static class SolverUtils
|
||||
if (token.IsCancellationRequested)
|
||||
break;
|
||||
|
||||
if (!S.SearchIter(ref config, rootNode, random, simulator))
|
||||
if (!S.SearchIter(ref config, rootScores, rootNode, random, simulator))
|
||||
{
|
||||
// Retry, count this iteration as moot
|
||||
i--;
|
||||
@@ -211,15 +209,16 @@ public static class SolverUtils
|
||||
var actions = new List<ActionType>();
|
||||
var sim = new Simulator(state, config.MaxStepCount);
|
||||
var rootNode = CreateRootNode(config, state, true);
|
||||
RootScores rootScores = new();
|
||||
while (!sim.IsComplete)
|
||||
{
|
||||
if (token.IsCancellationRequested)
|
||||
break;
|
||||
|
||||
S.Search(ref config, rootNode, token);
|
||||
S.Search(ref config, rootScores, rootNode, token);
|
||||
var (solution_actions, solution_node) = Solution(rootNode);
|
||||
|
||||
if (solution_node.Scores.MaxScore >= 1.0)
|
||||
if (rootScores.MaxScore >= 1.0)
|
||||
{
|
||||
actions.AddRange(solution_actions);
|
||||
return (actions, solution_node.State);
|
||||
@@ -243,7 +242,8 @@ public static class SolverUtils
|
||||
public static (List<ActionType> Actions, SimulationState State) SearchOneshot<S>(SolverConfig config, SimulationState state, CancellationToken token = default) where S : ISolver
|
||||
{
|
||||
var rootNode = CreateRootNode(config, state, false);
|
||||
S.Search(ref config, rootNode, token);
|
||||
RootScores rootScores = new();
|
||||
S.Search(ref config, rootScores, rootNode, token);
|
||||
var (solution_actions, solution_node) = Solution(rootNode);
|
||||
return (solution_actions, solution_node.State);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user