/*****************************************************************************

Copyright 2018 The TensorFlow.NET Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.

******************************************************************************/

using System;

using System.Collections.Generic;

using System.Diagnostics;

using System.Drawing;

using System.Linq;

using System.Reflection;

using Tensorflow;

using static Tensorflow.Binding;

using Console = Colorful.Console;

namespace TensorFlowNET.Examples

{

class Program

{

static void Main(string[] args)

{

var parsedArgs = ParseArgs(args);

var examples = Assembly.GetEntryAssembly().GetTypes()

.Where(x => x.GetInterfaces().Contains(typeof(IExample)))

.Select(x => (IExample)Activator.CreateInstance(x))

.Where(x => x.InitConfig() != null)

.Where(x => x.Config.Enabled)

.OrderBy(x => x.Config.Priority)

.ToArray();

if (parsedArgs.ContainsKey("ex"))

examples = examples.Where(x => x.Config.Name == parsedArgs["ex"]).ToArray();

Console.WriteLine(Environment.OSVersion, Color.Yellow);

Console.WriteLine($"64Bit Operating System: {Environment.Is64BitOperatingSystem}", Color.Yellow);

Console.WriteLine($".NET CLR: {Environment.Version}", Color.Yellow);

Console.WriteLine($"TensorFlow Binary v{tf.VERSION}", Color.Yellow);

Console.WriteLine($"TensorFlow.NET v{Assembly.GetAssembly(typeof(TF_DataType)).GetName().Version}", Color.Yellow);

Console.WriteLine($"TensorFlow.Keras v{Assembly.GetAssembly(typeof(KerasApi)).GetName().Version}", Color.Yellow);

Console.WriteLine(Environment.CurrentDirectory, Color.Yellow);

while (true)

{

for (var i = 0; i < examples.Length; i++)

Console.WriteLine($"[{i + 1}]: {examples[i].Config.Name}");

var key = "1";

if (examples.Length > 1)

{

Console.Write($"Choose one example to run, hit [Enter] to run all: ", Color.Yellow);

key = Console.ReadLine();

}

RunExamples(key, examples);

}

}

private static void RunExamples(string key, IExample[] examples)

{

int finished = 0;

var errors = new List<string>();

var success = new List<string>();

var sw = new Stopwatch();

for (var i = 0; i < examples.Length; i++)

{

if ((i + 1).ToString() != key && key != "") continue;

var example = examples[i];

Console.WriteLine($"{DateTime.UtcNow} Starting {example.Config.Name}", Color.White);

try

{

sw.Restart();

bool isSuccess = example.Run();

sw.Stop();

if (isSuccess)

success.Add($"Example: {example.Config.Name} in {sw.Elapsed.TotalSeconds}s");

else

errors.Add($"Example: {example.Config.Name} in {sw.Elapsed.TotalSeconds}s");

}

catch (Exception ex)

{

errors.Add($"Example: {example.Config.Name}");

Console.WriteLine(ex);

}

finished++;

Console.WriteLine($"{DateTime.UtcNow} Completed {example.Config.Name}", Color.White);

}

success.ForEach(x => Console.WriteLine($"{x} is OK!", Color.Green));

errors.ForEach(x => Console.WriteLine($"{x} is Failed!", Color.Red));

Console.WriteLine($"TensorFlow Binary v{tf.VERSION}");

Console.WriteLine($"TensorFlow.NET v{Assembly.GetAssembly(typeof(TF_DataType)).GetName().Version}");

Console.WriteLine($"TensorFlow.Keras v{Assembly.GetAssembly(typeof(KerasApi)).GetName().Version}");

Console.WriteLine($"{finished} of {examples.Length} example(s) are completed.");

Console.Write("Press [Enter] to continue...");

Console.ReadLine();

}

private static Dictionary<string, string> ParseArgs(string[] args)

{

var parsed = new Dictionary<string, string>();

for (int i = 0; i < args.Length; i++)

{

string key = args[i].Substring(1);

switch (key)

{

case "ex":

parsed.Add(key, args[++i]);

break;

default:

break;

}

}

return parsed;

}

}

}