public FCNetwork(FCNetworkConfig config)
{
Inputs = new NativeArray <float>(config.Layers[0].NumNeurons, Allocator.Persistent);
Layers = new FCLayer[config.Layers.Count - 1];
for (int l = 0; l < Layers.Length; l++)
{
Layers[l] = new FCLayer(config.Layers[l + 1].NumNeurons, config.Layers[l].NumNeurons);
}
Config = config;
}
public FCGradients(FCNetworkConfig config)
{
Layers = new FCGradientsLayer[config.Layers.Count - 1];
for (int l = 0; l < Layers.Length; l++)
{
Layers[l] = new FCGradientsLayer(config.Layers[l + 1].NumNeurons, config.Layers[l].NumNeurons);
}
DCDO = new NativeArray <float>(config.Layers[config.Layers.Count - 1].NumNeurons, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
Config = config;
}
private void Awake()
{
Application.runInBackground = true;
DataManager.Load();
_rng = new Rng(1234);
var config = new FCNetworkConfig();
config.Layers.Add(new FCLayerConfig {
NumNeurons = DataManager.ImgDims * DataManager.Channels
});
config.Layers.Add(new FCLayerConfig {
NumNeurons = 40
});
config.Layers.Add(new FCLayerConfig {
NumNeurons = 20
});
config.Layers.Add(new FCLayerConfig {
NumNeurons = 10
});
_net = new FCNetwork(config);
NeuralUtils.Initialize(_net, ref _rng);
_gradients = new FCGradients(config);
_gradientsAvg = new FCGradients(config);
_batch = new NativeArray <int>(BatchSize, Allocator.Persistent, NativeArrayOptions.ClearMemory);
_targetOutputs = new NativeArray <float>(OutputClassCount, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
_dCdO = new NativeArray <float>(OutputClassCount, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
_watch = System.Diagnostics.Stopwatch.StartNew();
int testImgIdx = 8392;
_lbl = DataManager.Test.Labels[testImgIdx];
_img = new Texture2D(32, 32, TextureFormat.ARGB32, false, true);
DataManager.ToTexture(DataManager.Test, testImgIdx, _img);
Test();
}
private void Awake()
{
Application.runInBackground = true;
DataManager.LoadFloatData();
_rng = new Rng(1234);
var config = new FCNetworkConfig();
config.Layers.Add(new FCLayerConfig {
NumNeurons = DataManager.ImgDims
});
config.Layers.Add(new FCLayerConfig {
NumNeurons = 30
});
config.Layers.Add(new FCLayerConfig {
NumNeurons = 10
});
_net = new FCNetwork(config);
NeuralUtils.Initialize(_net, ref _rng);
_gradients = new FCGradients(config);
_gradientsAvg = new FCGradients(config);
_batch = new NativeArray <int>(BatchSize, Allocator.Persistent, NativeArrayOptions.ClearMemory);
_targetOutputs = new NativeArray <float>(OutputClassCount, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
_dCdO = new NativeArray <float>(OutputClassCount, Allocator.Persistent, NativeArrayOptions.UninitializedMemory);
_watch = System.Diagnostics.Stopwatch.StartNew();
// Visual test of data
const int testImgIdx = 18;
_label = DataManager.TrainFloats.Labels[testImgIdx];
_tex = new Texture2D(DataManager.Width, DataManager.Height, TextureFormat.ARGB32, false, true);
_tex.filterMode = FilterMode.Point;
DataManager.ToTexture(DataManager.TrainFloats, testImgIdx, _tex);
Test();
}
