using System;

using System.Collections.Generic;

using System.IO;

using System.Text;

using Tensorflow.Keras.Engine;

using Tensorflow.Keras.Saving;

using ThirdParty.Tensorflow.Python.Keras.Protobuf;

namespace Tensorflow.Keras.Models

{

public class ModelsApi

{

public Functional from_config(ModelConfig config)

=> Functional.from_config(config);

public void load_model(string filepath, bool compile = true)

{

var bytes = File.ReadAllBytes(Path.Combine(filepath, "saved_model.pb"));

var saved_mode = SavedModel.Parser.ParseFrom(bytes);

var meta_graph_def = saved_mode.MetaGraphs[0];

var object_graph_def = meta_graph_def.ObjectGraphDef;

bytes = File.ReadAllBytes(Path.Combine(filepath, "keras_metadata.pb"));

var metadata = SavedMetadata.Parser.ParseFrom(bytes);

// Recreate layers and metrics using the info stored in the metadata.

var keras_loader = new KerasObjectLoader(metadata, object_graph_def);

keras_loader.load_layers(compile: compile);

}

}

}