added tf.name_scope api.

README.md

@@ -26,7 +26,7 @@ Install TensorFlow.NET through NuGet.
 PM> Install-Package TensorFlow.NET
 ```
 
-If you are using Linux or Mac OS, please download the pre-compiled dll [here](tensorflow.so) and place it in the working folder. This is only need for Linux and Mac OS, and already packed into NuGet for Windows.
+If you are using Linux or Mac OS, please download the pre-compiled dll [here](tensorflowlib) and place it in the working folder. This is only need for Linux and Mac OS, and already packed into NuGet for Windows.
 
 Import tensorflow.net.
 

src/TensorFlowNET.Core/Framework/tf.ops.cs

@@ -8,5 +8,16 @@ namespace Tensorflow
     {
         public static object get_collection(string key, string scope = "") => get_default_graph()
             .get_collection(key, scope: scope);
+
+        /// <summary>
+        /// Returns a context manager that creates hierarchical names for operations.
+        /// </summary>
+        /// <param name="name">The name argument that is passed to the op function.</param>
+        /// <param name="default_name">The default name to use if the name argument is None.</param>
+        /// <param name="values">The list of Tensor arguments that are passed to the op function.</param>
+        /// <returns>The scope name.</returns>
+        public static ops.name_scope name_scope(string name, 
+            string default_name = "", 
+            object values = null) => new ops.name_scope(name, default_name, values);
     }
 }

src/TensorFlowNET.Core/Variables/RefVariable.Operators.cs

@@ -17,7 +17,7 @@ namespace Tensorflow
         private static Tensor op_helper<T>(string default_name, RefVariable x, T y)
         {
             var tensor1 = x.value();
-            return Python.with<ops.name_scope, Tensor>(new ops.name_scope(null, default_name, new object[] { tensor1, y }), scope => {
+            return with<ops.name_scope, Tensor>(new ops.name_scope(null, default_name, new { tensor1, y }), scope => {
                 var tensor2 = ops.convert_to_tensor(y, tensor1.dtype.as_base_dtype(), "y");
                 return gen_math_ops.add(tensor1, tensor2, scope);
             });

src/TensorFlowNET.Core/Variables/VariableV1.cs

@@ -14,7 +14,7 @@ namespace Tensorflow
     /// the variable are fixed. The value can be changed using one of the assign methods.
     /// https://tensorflow.org/guide/variables
     /// </summary>
-    public class VariableV1
+    public class VariableV1 : Python
     {
         public VariableV1(object initial_value = null,
             bool trainable = true,

src/TensorFlowNET.Core/ops.name_scope.cs

@@ -7,6 +7,9 @@ namespace Tensorflow
 {
     public partial class ops
     {
+        /// <summary>
+        /// Returns a context manager that creates hierarchical names for operations.
+        /// </summary>
         public class name_scope : IPython
         {
             public string _name;