public TrainingScheme(INet net, TrainerBase trainer, EntryContainer container, string label)
{
this.container = container;
this.label = label;
this.net = net;
this.trainer = trainer;
int n = container.ClassCount;
}
public static void Run()
{
const string NetName = "net.dat";
var random = new Random();
var entryContainer = new EntryContainer();
#region Load Net
var convInputWith = 11; // Will extract 11x11 area
if (convInputWith % 2 == 0)
{
throw new ArgumentException("convInputWith must be odd");
}
// Load IA or initialize new network if not found - Direction choice
INet singleNet = NetExtension.LoadOrCreateNet(NetName, () =>
{
var net = FluentNet.Create(convInputWith, convInputWith, 3)
.Conv(3, 3, 16).Stride(2)
.Tanh()
.Conv(2, 2, 16)
.Tanh()
.FullyConn(100)
.Relu()
.FullyConn(5)
.Softmax(5).Build();
return(net);
});
#endregion
#region Load data
var hltFiles = Directory.EnumerateFiles(@"..\..\..\games\2609\", "*.hlt").ToList(); // erdman games downloaded with HltDownloader
int total = hltFiles.Count;
Console.WriteLine($"Loading {total} games...");
foreach (var file in hltFiles)
{
Console.WriteLine(total--);
HltReader reader = new HltReader(file);
var playerId = -1;
var playerToCopy = reader.PlayerNames.FirstOrDefault(o => o.StartsWith("erdman"));
if (playerToCopy == null)
{
Console.WriteLine("Player not found");
continue;
}
playerId = reader.PlayerNames.IndexOf(playerToCopy) + 1;
var width = reader.Width;
var height = reader.Height;
int lastmoveCount = 1;
for (var frame = 0; frame < reader.FrameCount - 1; frame++)
{
var currentFrame = reader.GetFrame(frame);
var map = currentFrame.map;
var moves = currentFrame.moves;
var helper = new Helper(map, (ushort)playerId);
bool foundInFrame = false;
int moveCount = 0;
// moves
for (ushort x = 0; x < width; x++)
{
for (ushort y = 0; y < height; y++)
{
if (map[x, y].Owner == playerId)
{
foundInFrame = true;
moveCount++;
if (random.NextDouble() < 1.0 / lastmoveCount)
{
var convVolume = map.GetVolume(convInputWith, playerId, x, y); // Input
var direction = moves[y][x]; // Output
var entry1 = new Entry(new[] { convVolume }, direction, x, y, frame, file.GetHashCode());
entryContainer.Add(entry1);
// Data augmentation
var entry2 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.LeftRight) }, (int)Helper.FlipLeftRight((Direction)direction), x, y, frame, file.GetHashCode());
entryContainer.Add(entry2);
var entry3 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.UpDown) }, (int)Helper.FlipUpDown((Direction)direction), x, y, frame, file.GetHashCode());
entryContainer.Add(entry3);
var entry4 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.Both) }, (int)Helper.FlipBothWay((Direction)direction), x, y, frame, file.GetHashCode());
entryContainer.Add(entry4);
}
}
}
}
lastmoveCount = moveCount;
if (!foundInFrame)
{
// player has died
break;
}
}
}
var length = entryContainer.Shuffle();
Console.WriteLine(entryContainer.Summary);
#endregion
#region Training
var trainer = new AdamTrainer(singleNet)
{
BatchSize = 1024, LearningRate = 0.1, Beta1 = 0.9, Beta2 = 0.99, Eps = 1e-8
};
var trainingScheme = new TrainingScheme(singleNet, trainer, entryContainer, "single");
bool save = true;
double lastValidationAcc = 0.0;
do
{
for (int i = 0; i < 1000; i++)
{
if (i > 5)
{
trainer.L2Decay = 0.001;
}
Console.WriteLine($"Epoch #{i + 1}");
if (i % 15 == 0)
{
trainer.LearningRate = Math.Max(trainer.LearningRate / 10.0, 0.00001);
}
trainingScheme.RunEpoch();
#region Save Nets
if (save)
{
// Save if validation accuracy has improved
if (trainingScheme.ValidationAccuracy > lastValidationAcc)
{
lastValidationAcc = trainingScheme.ValidationAccuracy;
singleNet.SaveNet(NetName);
}
}
#endregion
if (Console.KeyAvailable)
{
break;
}
}
} while (!Console.KeyAvailable);
#endregion
}
public static void Run()
{
var random = new Random(RandomUtilities.Seed);
int normalInputWidth = 19;
int earlyInputWidth = 19;
int strongInputWidth = 19;
string NetName = $"net.dat";
string NetName_early = $"net_early.dat";
string NetName_strong = $"net_strong.dat";
var entryContainer = new EntryContainer();
var entryContainer_early = new EntryContainer();
var entryContainer_strong = new EntryContainer();
#region Load Net
INet singleNet = NetExtension.LoadOrCreateNet(NetName, () =>
{
var net = FluentNet.Create(normalInputWidth, normalInputWidth, 3)
.Conv(5, 5, 16).Stride(5).Pad(2)
.Tanh()
.Conv(3, 3, 16).Stride(1).Pad(1)
.Tanh()
.FullyConn(100)
.Relu()
.FullyConn(5)
.Softmax(5).Build();
return(net);
});
INet singleNet_early = NetExtension.LoadOrCreateNet(NetName_early, () =>
{
var net = FluentNet.Create(earlyInputWidth, earlyInputWidth, 3)
.Conv(5, 5, 16).Stride(5).Pad(2)
.Tanh()
.Conv(3, 3, 16).Stride(1).Pad(1)
.Tanh()
.FullyConn(100)
.Relu()
.FullyConn(5)
.Softmax(5).Build();
return(net);
});
INet singleNet_strong = NetExtension.LoadOrCreateNet(NetName_strong, () =>
{
var net = FluentNet.Create(strongInputWidth, strongInputWidth, 3)
.Conv(5, 5, 16).Stride(5).Pad(2)
.Tanh()
.Conv(3, 3, 16).Stride(1).Pad(1)
.Tanh()
.FullyConn(100)
.Relu()
.FullyConn(5)
.Softmax(5).Build();
return(net);
});
#endregion
#region Load data
var hltFiles = Directory.EnumerateFiles(@"..\..\..\games\2609\", "*.hlt").ToList(); // erdman games downloaded with HltDownloader
int total = hltFiles.Count;
Console.WriteLine($"Loading {total} games...");
foreach (var file in hltFiles)
{
Console.WriteLine(total--);
HltReader reader = new HltReader(file);
var playerId = -1;
var playerToCopy = reader.PlayerNames.FirstOrDefault(o => o.StartsWith("erdman"));
if (playerToCopy != null)
{
playerId = reader.PlayerNames.IndexOf(playerToCopy) + 1;
}
if (playerId != -1)
{
var width = reader.Width;
var height = reader.Height;
int lastmoveCount = 1;
for (var frame = 0; frame < reader.FrameCount - 1; frame++)
{
bool earlyGame = lastmoveCount < 25;
var currentFrame = reader.GetFrame(frame);
var map = currentFrame.map;
var moves = currentFrame.moves;
var helper = new Helper(map, (ushort)playerId);
bool foundInFrame = false;
int moveCount = 0;
// moves
for (ushort x = 0; x < width; x++)
{
for (ushort y = 0; y < height; y++)
{
if (map[x, y].Owner == playerId)
{
bool strong = map[x, y].Strength > 200;
foundInFrame = true;
moveCount++;
if ((earlyGame && random.NextDouble() < 1.5 / lastmoveCount) || (strong && random.NextDouble() < 1.5 / lastmoveCount) || random.NextDouble() < 1.0 / lastmoveCount)
{
var w = normalInputWidth;
var container = entryContainer;
if (earlyGame)
{
w = earlyInputWidth;
container = entryContainer_early;
}
else if (strong)
{
w = strongInputWidth;
container = entryContainer_strong;
}
var convVolume = map.GetVolume(w, playerId, x, y);
var direction = moves[y][x];
var entry1 = new Entry(new[] { convVolume }, direction, x, y, frame, file.GetHashCode());
container.Add(entry1);
var entry2 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.LeftRight) }, (int)Helper.FlipLeftRight((Direction)direction), x, y, frame, file.GetHashCode());
container.Add(entry2);
var entry3 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.UpDown) }, (int)Helper.FlipUpDown((Direction)direction), x, y, frame, file.GetHashCode());
container.Add(entry3);
var entry4 = new Entry(new[] { convVolume.Flip(VolumeUtilities.FlipMode.Both) }, (int)Helper.FlipBothWay((Direction)direction), x, y, frame, file.GetHashCode());
container.Add(entry4);
}
}
}
}
lastmoveCount = moveCount;
if (!foundInFrame)
{
// player has died
break;
}
}
}
else
{
Console.WriteLine("not found");
}
}
var length = entryContainer.Shuffle();
Console.WriteLine("normal: " + entryContainer.Summary);
length = entryContainer_early.Shuffle();
Console.WriteLine("early: " + entryContainer_early.Summary);
length = entryContainer_strong.Shuffle();
Console.WriteLine("strong " + entryContainer_strong.Summary);
#endregion
#region Training
var trainer = new AdamTrainer(singleNet)
{
BatchSize = 1024, LearningRate = 0.01, Beta1 = 0.9, Beta2 = 0.99, Eps = 1e-8
};
var trainingScheme = new TrainingScheme(singleNet, trainer, entryContainer, "single");
var trainer_early = new AdamTrainer(singleNet_early)
{
BatchSize = 1024, LearningRate = 0.01, Beta1 = 0.9, Beta2 = 0.99, Eps = 1e-8
};
var trainingScheme_early = new TrainingScheme(singleNet_early, trainer_early, entryContainer_early, "single_early");
var trainer_strong = new AdamTrainer(singleNet_strong)
{
BatchSize = 1024, LearningRate = 0.01, Beta1 = 0.9, Beta2 = 0.99, Eps = 1e-8
};
var trainingScheme_strong = new TrainingScheme(singleNet_strong, trainer_strong, entryContainer_strong, "single_strong");
bool save = true;
double lastValidationAcc = 0.0;
double lastValidationAcc_early = 0.0;
double lastValidationAcc_strong = 0.0;
double lastTrainAcc = 0.0;
double lastTrainAcc_early = 0.0;
double lastTrainAcc_strong = 0.0;
do
{
var normal = Task.Factory.StartNew(() =>
{
for (int i = 0; i < 50; i++)
{
if (i > 5)
{
trainer.L2Decay = 0.05;
}
Console.WriteLine($"[normal] Epoch #{i + 1}");
if (i % 50 == 0)
{
trainer.LearningRate = Math.Max(trainer.LearningRate / 5.0, 0.00001);
}
trainingScheme.RunEpoch();
#region Save Nets
if (save)
{
if (trainingScheme.ValidationAccuracy > lastValidationAcc)
{
lastValidationAcc = trainingScheme.ValidationAccuracy;
lastTrainAcc = trainingScheme.TrainAccuracy;
singleNet.SaveNet(NetName);
}
}
#endregion
if (Console.KeyAvailable)
{
break;
}
}
});
var early = Task.Factory.StartNew(() =>
{
for (int i = 0; i < 50; i++)
{
if (i > 5)
{
trainer_early.L2Decay = 0.05;
}
Console.WriteLine($"[early] Epoch #{i + 1}");
if (i % 50 == 0)
{
trainer_early.LearningRate = Math.Max(trainer_early.LearningRate / 5.0, 0.00001);
}
trainingScheme_early.RunEpoch();
#region Save Nets
if (save)
{
if (trainingScheme_early.ValidationAccuracy > lastValidationAcc_early)
{
lastValidationAcc_early = trainingScheme_early.ValidationAccuracy;
lastTrainAcc_early = trainingScheme_early.TrainAccuracy;
singleNet_early.SaveNet(NetName_early);
}
}
#endregion
if (Console.KeyAvailable)
{
break;
}
}
});
var strong = Task.Factory.StartNew(() =>
{
for (int i = 0; i < 50; i++)
{
if (i > 5)
{
trainer_strong.L2Decay = 0.05;
}
Console.WriteLine($"[strong] Epoch #{i + 1}");
if (i % 50 == 0)
{
trainer_strong.LearningRate = Math.Max(trainer_strong.LearningRate / 5.0, 0.00001);
}
trainingScheme_strong.RunEpoch();
#region Save Nets
if (save)
{
if (trainingScheme_strong.ValidationAccuracy > lastValidationAcc_strong)
{
lastValidationAcc_strong = trainingScheme_strong.ValidationAccuracy;
lastTrainAcc_strong = trainingScheme_strong.TrainAccuracy;
singleNet_strong.SaveNet(NetName_strong);
}
}
#endregion
if (Console.KeyAvailable)
{
break;
}
}
});
Task.WaitAll(new[] { normal, strong, early });
}while (!Console.KeyAvailable);
#endregion
}
