diff --git a/src/TensorFlowNET.Core/Operations/ops.cs b/src/TensorFlowNET.Core/Operations/ops.cs
index 395410d1..f7eb3853 100644
--- a/src/TensorFlowNET.Core/Operations/ops.cs
+++ b/src/TensorFlowNET.Core/Operations/ops.cs
@@ -16,6 +16,18 @@ namespace Tensorflow
             return tf.Graph();
         }
 
+        public static Tensor convert_to_tensor()
+        {
+            return internal_convert_to_tensor();
+        }
+
+        private static Tensor internal_convert_to_tensor()
+        {
+            return null;
+        }
+
+
+
         public static unsafe IntPtr _create_c_op(Graph graph, NodeDef node_def, List<Tensor> inputs)
         {
             var op_desc = c_api.TF_NewOperation(graph.Handle, node_def.Op, node_def.Name);
diff --git a/src/TensorFlowNET.Core/Tensors/RefVariable.cs b/src/TensorFlowNET.Core/Tensors/RefVariable.cs
new file mode 100644
index 00000000..129d0618
--- /dev/null
+++ b/src/TensorFlowNET.Core/Tensors/RefVariable.cs
@@ -0,0 +1,24 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow
+{
+    public class RefVariable : Variable
+    {
+        public bool _in_graph_mode = true;
+
+        public RefVariable(object initial_value, 
+            TF_DataType trainable, 
+            bool validate_shape = true) : 
+            base(initial_value, trainable, validate_shape)
+        {
+
+        }
+
+        private void _init_from_args()
+        {
+
+        }
+    }
+}
diff --git a/src/TensorFlowNET.Core/Tensors/Variable.cs b/src/TensorFlowNET.Core/Tensors/Variable.cs
index 883c9a44..19253ce1 100644
--- a/src/TensorFlowNET.Core/Tensors/Variable.cs
+++ b/src/TensorFlowNET.Core/Tensors/Variable.cs
@@ -4,7 +4,21 @@ using System.Text;
 
 namespace Tensorflow
 {
+    /// <summary>
+    /// A variable maintains state in the graph across calls to `run()`. You add a
+    /// variable to the graph by constructing an instance of the class `Variable`.
+    /// 
+    /// The `Variable()` constructor requires an initial value for the variable,
+    /// which can be a `Tensor` of any type and shape. The initial value defines the
+    /// type and shape of the variable. After construction, the type and shape of
+    /// the variable are fixed. The value can be changed using one of the assign methods.
+    /// https://tensorflow.org/guide/variables
+    /// </summary>
     public class Variable
     {
+        public Variable(object initial_value, TF_DataType trainable, bool validate_shape = true)
+        {
+
+        }
     }
 }
diff --git a/src/TensorFlowNET.Core/tf.cs b/src/TensorFlowNET.Core/tf.cs
index 95850312..09783aa1 100644
--- a/src/TensorFlowNET.Core/tf.cs
+++ b/src/TensorFlowNET.Core/tf.cs
@@ -11,11 +11,17 @@ namespace Tensorflow
     public static class tf
     {
         public static TF_DataType float32 = TF_DataType.TF_FLOAT;
+        public static TF_DataType chars = TF_DataType.TF_STRING;
 
         public static Context context = new Context();
 
         public static Graph g = new Graph(c_api.TF_NewGraph());
 
+        public static object Variable<T>(T data, TF_DataType dtype)
+        {
+            return new Variable(null, TF_DataType.DtInvalid);
+        }
+
         public static unsafe Tensor add(Tensor a, Tensor b)
         {
             return gen_math_ops.add(a, b);
diff --git a/test/TensorFlowNET.UnitTest/VariableTest.cs b/test/TensorFlowNET.UnitTest/VariableTest.cs
new file mode 100644
index 00000000..a761d93e
--- /dev/null
+++ b/test/TensorFlowNET.UnitTest/VariableTest.cs
@@ -0,0 +1,17 @@
+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using System;
+using System.Collections.Generic;
+using System.Text;
+using Tensorflow;
+
+namespace TensorFlowNET.UnitTest
+{
+    [TestClass]
+    public class VariableTest
+    {
+        public void Creating()
+        {
+            var mammal = tf.Variable("Elephant", tf.chars);
+        }
+    }
+}