added make_variable overload

src/TensorFlowNET.Core/Keras/Layers/Layer.cs

@@ -190,7 +190,7 @@ namespace Tensorflow.Keras.Layers
             var variable = _add_variable_with_custom_getter(name,
                 shape,
                 dtype: dtype,
-                getter: getter, // getter == null ? base_layer_utils.make_variable : getter,
+                getter: (getter == null) ? base_layer_utils.make_variable : getter,
                 overwrite: true,
                 initializer: initializer,
                 trainable: trainable.Value);

src/TensorFlowNET.Core/Keras/Utils/base_layer_utils.cs

@@ -8,6 +8,21 @@ namespace Tensorflow.Keras.Utils
 {
     public class base_layer_utils
     {
+        /// <summary>
+        /// Adds a new variable to the layer.
+        /// </summary>
+        /// <param name="name"></param>
+        /// <param name="shape"></param>
+        /// <param name="dtype"></param>
+        /// <param name="initializer"></param>
+        /// <param name="trainable"></param>
+        /// <returns></returns>
+        public static RefVariable make_variable(string name,
+            int[] shape,
+            TF_DataType dtype = TF_DataType.TF_FLOAT,
+            IInitializer initializer = null,
+            bool trainable = true) => make_variable(name, shape, dtype, initializer, trainable, true);
+
         /// <summary>
         /// Adds a new variable to the layer.
         /// </summary>
@@ -28,7 +43,7 @@ namespace Tensorflow.Keras.Utils
 
             ops.init_scope();
 
-            Func<Tensor> init_val = ()=> initializer.call(new TensorShape(shape), dtype: dtype);
+            Func<Tensor> init_val = () => initializer.call(new TensorShape(shape), dtype: dtype);
 
             var variable_dtype = dtype.as_base_dtype();
             var v = tf.Variable(init_val);
@@ -44,13 +59,13 @@ namespace Tensorflow.Keras.Utils
         public static string unique_layer_name(string name, Dictionary<(string, string), int> name_uid_map = null,
             string[] avoid_names = null, string @namespace = "", bool zero_based = false)
         {
-            if(name_uid_map == null)
+            if (name_uid_map == null)
                 name_uid_map = get_default_graph_uid_map();
             if (avoid_names == null)
                 avoid_names = new string[0];
 
             string proposed_name = null;
-            while(proposed_name == null || avoid_names.Contains(proposed_name))
+            while (proposed_name == null || avoid_names.Contains(proposed_name))
             {
                 var name_key = (@namespace, name);
                 if (!name_uid_map.ContainsKey(name_key))
@@ -58,7 +73,7 @@ namespace Tensorflow.Keras.Utils
 
                 if (zero_based)
                 {
-                    int number =  name_uid_map[name_key];
+                    int number = name_uid_map[name_key];
                     if (number > 0)
                         proposed_name = $"{name}_{number}";
                     else

test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs

@@ -14,21 +14,21 @@ namespace TensorFlowNET.ExamplesTests
         public void BasicOperations()
         {
             tf.Graph().as_default();
-            new BasicOperations() { Enabled = true }.Train();
+            new BasicOperations() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void HelloWorld()
         {
             tf.Graph().as_default();
-            new HelloWorld() { Enabled = true }.Train();
+            new HelloWorld() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void ImageRecognition()
         {
             tf.Graph().as_default();
-            new HelloWorld() { Enabled = true }.Train();
+            new HelloWorld() { Enabled = true }.Run();
         }
 
         [Ignore]
@@ -36,28 +36,28 @@ namespace TensorFlowNET.ExamplesTests
         public void InceptionArchGoogLeNet()
         {
             tf.Graph().as_default();
-            new InceptionArchGoogLeNet() { Enabled = true }.Train();
+            new InceptionArchGoogLeNet() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void KMeansClustering()
         {
             tf.Graph().as_default();
-            new KMeansClustering() { Enabled = true, IsImportingGraph = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Train();
+            new KMeansClustering() { Enabled = true, IsImportingGraph = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Run();
         }
 
         [TestMethod]
         public void LinearRegression()
         {
             tf.Graph().as_default();
-            new LinearRegression() { Enabled = true }.Train();
+            new LinearRegression() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void LogisticRegression()
         {
             tf.Graph().as_default();
-            new LogisticRegression() { Enabled = true, training_epochs=10, train_size = 500, validation_size = 100, test_size = 100 }.Train();
+            new LogisticRegression() { Enabled = true, training_epochs=10, train_size = 500, validation_size = 100, test_size = 100 }.Run();
         }
 
         [Ignore]
@@ -65,7 +65,7 @@ namespace TensorFlowNET.ExamplesTests
         public void NaiveBayesClassifier()
         {
             tf.Graph().as_default();
-            new NaiveBayesClassifier() { Enabled = false }.Train();
+            new NaiveBayesClassifier() { Enabled = false }.Run();
         }
 
         [Ignore]
@@ -73,14 +73,14 @@ namespace TensorFlowNET.ExamplesTests
         public void NamedEntityRecognition()
         {
             tf.Graph().as_default();
-            new NamedEntityRecognition() { Enabled = true }.Train();
+            new NamedEntityRecognition() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void NearestNeighbor()
         {
             tf.Graph().as_default();
-            new NearestNeighbor() { Enabled = true, TrainSize = 500, ValidationSize = 100, TestSize = 100 }.Train();
+            new NearestNeighbor() { Enabled = true, TrainSize = 500, ValidationSize = 100, TestSize = 100 }.Run();
         }
 
         [Ignore]
@@ -88,7 +88,7 @@ namespace TensorFlowNET.ExamplesTests
         public void TextClassificationTrain()
         {
             tf.Graph().as_default();
-            new TextClassificationTrain() { Enabled = true, DataLimit=100 }.Train();
+            new TextClassificationTrain() { Enabled = true, DataLimit=100 }.Run();
         }
 
         [Ignore]
@@ -96,21 +96,21 @@ namespace TensorFlowNET.ExamplesTests
         public void TextClassificationWithMovieReviews()
         {
             tf.Graph().as_default();
-            new BinaryTextClassification() { Enabled = true }.Train();
+            new BinaryTextClassification() { Enabled = true }.Run();
         }
 
         [TestMethod]
         public void NeuralNetXor()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = false }.Train());
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = false }.Run());
         }
 
         [TestMethod]
         public void NeuralNetXor_ImportedGraph()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = true }.Train());
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = true }.Run());
         }
 
 
@@ -118,7 +118,7 @@ namespace TensorFlowNET.ExamplesTests
         public void ObjectDetection()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new ObjectDetection() { Enabled = true, IsImportingGraph = true }.Train());
+            Assert.IsTrue(new ObjectDetection() { Enabled = true, IsImportingGraph = true }.Run());
         }
     }
 }