Added Name and Priority to IExample interface.

test/TensorFlowNET.Examples/BasicEagerApi.cs

@@ -11,7 +11,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class BasicEagerApi : IExample
     {
+        public int Priority => 100;
         public bool Enabled => false;
+        public string Name => "Basic Eager";
 
         private Tensor a, b, c, d;
 

test/TensorFlowNET.Examples/BasicOperations.cs

@@ -13,6 +13,9 @@ namespace TensorFlowNET.Examples
     public class BasicOperations : Python, IExample
     {
         public bool Enabled => true;
+        public int Priority => 2;
+        public string Name => "Basic Operations";
+
         private Session sess;
 
         public bool Run()

test/TensorFlowNET.Examples/HelloWorld.cs

@@ -11,7 +11,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class HelloWorld : Python, IExample
     {
+        public int Priority => 1;
         public bool Enabled => true;
+        public string Name => "Hello World";
+
         public bool Run()
         {
             /* Create a Constant op

test/TensorFlowNET.Examples/IExample.cs

@@ -10,8 +10,25 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public interface IExample
     {
+        /// <summary>
+        /// running order
+        /// </summary>
+        int Priority { get; }
+        /// <summary>
+        /// True to run example
+        /// </summary>
         bool Enabled { get; }
+
+        string Name { get; }
+
+        /// <summary>
+        /// Build dataflow graph, train and predict
+        /// </summary>
+        /// <returns></returns>
         bool Run();
+        /// <summary>
+        /// Prepare dataset
+        /// </summary>
         void PrepareData();
     }
 }

test/TensorFlowNET.Examples/ImageRecognition.cs

@@ -12,7 +12,9 @@ namespace TensorFlowNET.Examples
 {
     public class ImageRecognition : Python, IExample
     {
+        public int Priority => 5;
         public bool Enabled => true;
+        public string Name => "Image Recognition";
 
         string dir = "ImageRecognition";
         string pbFile = "tensorflow_inception_graph.pb";

test/TensorFlowNET.Examples/InceptionArchGoogLeNet.cs

@@ -20,6 +20,9 @@ namespace TensorFlowNET.Examples
     public class InceptionArchGoogLeNet : Python, IExample
     {
         public bool Enabled => false;
+        public int Priority => 100;
+        public string Name => "Inception Arch GoogLeNet";
+
         string dir = "label_image_data";
         string pbFile = "inception_v3_2016_08_28_frozen.pb";
         string labelFile = "imagenet_slim_labels.txt";

test/TensorFlowNET.Examples/LinearRegression.cs

@@ -12,7 +12,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class LinearRegression : Python, IExample
     {
+        public int Priority => 3;
         public bool Enabled => true;
+        public string Name => "Linear Regression";
 
         NumPyRandom rng = np.random;
 

test/TensorFlowNET.Examples/LogisticRegression.cs

@@ -17,7 +17,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class LogisticRegression : Python, IExample
     {
+        public int Priority => 4;
         public bool Enabled => true;
+        public string Name => "Logistic Regression";
+
         private float learning_rate = 0.01f;
         private int training_epochs = 10;
         private int batch_size = 100;

test/TensorFlowNET.Examples/MetaGraph.cs

@@ -9,7 +9,9 @@ namespace TensorFlowNET.Examples
 {
     public class MetaGraph : Python, IExample
     {
+        public int Priority => 100;
         public bool Enabled => false;
+        public string Name => "Meta Graph";
 
         public bool Run()
         {

test/TensorFlowNET.Examples/NaiveBayesClassifier.cs

@@ -12,7 +12,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NaiveBayesClassifier : Python, IExample
     {
+        public int Priority => 100;
         public bool Enabled => false;
+        public string Name => "Naive Bayes Classifier";
+
         public Normal dist { get; set; }
         public bool Run()
         {

test/TensorFlowNET.Examples/NamedEntityRecognition.cs

@@ -10,7 +10,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NamedEntityRecognition : Python, IExample
     {
+        public int Priority => 100;
         public bool Enabled => false;
+        public string Name => "NER";
+
         public bool Run()
         {
             throw new NotImplementedException();

test/TensorFlowNET.Examples/Program.cs

@@ -15,32 +15,35 @@ namespace TensorFlowNET.Examples
             var errors = new List<string>();
             var success = new List<string>();
             var disabled = new List<string>();
+            var examples = assembly.GetTypes()
+                .Where(x => x.GetInterfaces().Contains(typeof(IExample)))
+                .Select(x => (IExample)Activator.CreateInstance(x))
+                .OrderBy(x => x.Priority)
+                .ToArray();
 
-            foreach (Type type in assembly.GetTypes().Where(x => x.GetInterfaces().Contains(typeof(IExample))))
+            foreach (IExample example in examples)
             {
-                if (args.Length > 0 && !args.Contains(type.Name))
+                if (args.Length > 0 && !args.Contains(example.Name))
                     continue;
 
-                Console.WriteLine($"{DateTime.UtcNow} Starting {type.Name}", Color.Tan);
-
-                var example = (IExample)Activator.CreateInstance(type);
+                Console.WriteLine($"{DateTime.UtcNow} Starting {example.Name}", Color.White);
 
                 try
                 {
                     if (example.Enabled)
                         if (example.Run())
-                            success.Add(type.Name);
+                            success.Add($"{example.Priority} {example.Name}");
                         else
-                            errors.Add(type.Name);
+                            errors.Add($"{example.Priority} {example.Name}");
                     else
-                        disabled.Add(type.Name);
+                        disabled.Add($"{example.Priority} {example.Name}");
                 }
                 catch (Exception ex)
                 {
                     Console.WriteLine(ex);
                 }
 
-                Console.WriteLine($"{DateTime.UtcNow} Completed {type.Name}", Color.Tan);
+                Console.WriteLine($"{DateTime.UtcNow} Completed {example.Name}", Color.White);
             }
 
             success.ForEach(x => Console.WriteLine($"{x} example is OK!", Color.Green));

test/TensorFlowNET.Examples/TextClassification/TextClassificationTrain.cs

@@ -15,7 +15,10 @@ namespace TensorFlowNET.Examples.CnnTextClassification
     /// </summary>
     public class TextClassificationTrain : Python, IExample
     {
+        public int Priority => 100;
         public bool Enabled => false;
+        public string Name => "Text Classification";
+
         private string dataDir = "text_classification";
         private string dataFileName = "dbpedia_csv.tar.gz";
 

test/TensorFlowNET.Examples/TextClassification/TextClassificationWithMovieReviews.cs

@@ -11,7 +11,10 @@ namespace TensorFlowNET.Examples
 {
     public class TextClassificationWithMovieReviews : Python, IExample
     {
+        public int Priority => 6;
         public bool Enabled => false;
+        public string Name => "Movie Reviews";
+
         string dir = "text_classification_with_movie_reviews";
         string dataFile = "imdb.zip";
         NDArray train_data, train_labels, test_data, test_labels;