public NeuralLayeredNetwork Deserialize(Stream stream)
{
using var reader = new StreamReader(stream);
var json = reader.ReadToEnd();
var options = new JsonSerializerOptions
{
Converters = { new LayerInfoConverter() },
WriteIndented = true
};
var info = JsonSerializer.Deserialize <NetworkInfo>(json, options);
var inputShape = new Shape(info.InputShape.B, info.InputShape.C, info.InputShape.H, info.InputShape.W);
var network = new NeuralLayeredNetwork(inputShape);
foreach (var layerInfo in info.LayersInfo)
{
var layerType = Type.GetType(layerInfo.LayerType);
if (layerType is null)
{
throw new ArgumentException();
}
var layer = (BaseLayer)Activator.CreateInstance(layerType, layerInfo);
network.AddLayer(layer);
}
return(network);
}
public NeuralLayeredNetwork Deserialize(string filePath)
{
FileInfo file = new FileInfo(filePath);
if (!file.Exists)
{
throw new ArgumentException($"File {filePath} does not exists");
}
if (file.Extension != ".cnn")
{
throw new ArgumentException($"File {filePath} has wrong format");
}
NetworkInfo info;
BinaryFormatter formatter = new BinaryFormatter();
using (var stream = new FileStream(filePath, FileMode.OpenOrCreate))
{
info = (NetworkInfo)formatter.Deserialize(stream);
}
var inputShape = new Shape(info.InputShape.B, info.InputShape.C, info.InputShape.H, info.InputShape.W);
var network = new NeuralLayeredNetwork(inputShape);
foreach (var layerInfo in info.LayersInfo)
{
var layerType = Type.GetType(layerInfo.LayerType);
if (layerType is null)
{
throw new ArgumentException();
}
var layer = (BaseLayer)Activator.CreateInstance(layerType, layerInfo);
network.AddLayer(layer);
}
return(network);
}
public NeuralLayeredNetwork Deserialize(string filePath)
{
FileInfo file = new FileInfo(filePath);
if (!file.Exists)
{
throw new ArgumentException($"File {filePath} does not exists");
}
if (file.Extension != ".json")
{
throw new ArgumentException($"File {filePath} has wrong format");
}
NetworkInfo info;
using (var stream = new FileStream(filePath, FileMode.Open))
{
using var reader = new StreamReader(stream);
var json = reader.ReadToEnd();
var options = new JsonSerializerOptions
{
Converters = { new LayerInfoConverter() },
WriteIndented = true
};
info = JsonSerializer.Deserialize <NetworkInfo>(json, options);
}
var inputShape = new Shape(info.InputShape.B, info.InputShape.C, info.InputShape.H, info.InputShape.W);
var network = new NeuralLayeredNetwork(inputShape);
foreach (var layerInfo in info.LayersInfo)
{
var layerType = Type.GetType(layerInfo.LayerType);
if (layerType is null)
{
throw new ArgumentException();
}
var layer = (BaseLayer)Activator.CreateInstance(layerType, layerInfo);
network.AddLayer(layer);
}
return(network);
}
public NeuralLayeredNetwork Deserialize(Stream stream)
{
NetworkInfo info;
BinaryFormatter formatter = new BinaryFormatter();
info = (NetworkInfo)formatter.Deserialize(stream);
var inputShape = new Shape(info.InputShape.B, info.InputShape.C, info.InputShape.H, info.InputShape.W);
var network = new NeuralLayeredNetwork(inputShape);
foreach (var layerInfo in info.LayersInfo)
{
var layerType = Type.GetType(layerInfo.LayerType);
if (layerType is null)
{
throw new ArgumentException();
}
var layer = (BaseLayer)Activator.CreateInstance(layerType, layerInfo);
network.AddLayer(layer);
}
return(network);
}