using System;

using System.Collections.Generic;

using System.IO;

using System.Text;

using Tensorflow.Train;

namespace Tensorflow

{

public static partial class tf

{

public static class train

{

public static Optimizer GradientDescentOptimizer(float learning_rate) => new GradientDescentOptimizer(learning_rate);

public static Optimizer AdamOptimizer(float learning_rate) => new AdamOptimizer(learning_rate);

public static Saver Saver() => new Saver();

public static string write_graph(Graph graph, string logdir, string name, bool as_text = true)

=> graph_io.write_graph(graph, logdir, name, as_text);

public static Saver import_meta_graph(string meta_graph_or_file,

bool clear_devices = false,

string import_scope = "") => saver._import_meta_graph_with_return_elements(meta_graph_or_file,

clear_devices,

import_scope).Item1;

public static (MetaGraphDef, Dictionary<string, RefVariable>) export_meta_graph(string filename = "",

bool as_text = false,

bool clear_devices = false,

bool clear_extraneous_savers = false,

bool strip_default_attrs = false) => meta_graph.export_scoped_meta_graph(filename: filename,

as_text: as_text,

clear_devices: clear_devices,

clear_extraneous_savers: clear_extraneous_savers,

strip_default_attrs: strip_default_attrs);

}

}

}