diff --git a/test/TensorFlowNET.UnitTest/Basics/AssignTests.cs b/test/TensorFlowNET.UnitTest/Basics/AssignTests.cs
new file mode 100644
index 00000000..9b2b6f3a
--- /dev/null
+++ b/test/TensorFlowNET.UnitTest/Basics/AssignTests.cs
@@ -0,0 +1,36 @@
+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using Tensorflow;
+using static Tensorflow.Python;
+
+namespace TensorFlowNET.UnitTest.Basics
+{
+    [TestClass]
+    public sealed class AssignTests
+    {
+        [Ignore("Not implemented")]
+        [TestMethod]
+        public void ShouldAssignVariable()
+        {
+            var raw_data = new[] { 1.0, 2.0, 8.0, -1.0, 0.0, 5.5, 6.0, 16.0 };
+            var expected = new[] { false, true, false, false, true, false, true };
+
+            var spike = tf.Variable(false);
+
+            spike.initializer.run();
+            foreach (var i in range(1, 2))
+            {
+                if (raw_data[i] - raw_data[i - 1] > 5d)
+                {
+                    var updater = tf.assign(spike, tf.constant(true));
+                    updater.eval();
+                }
+                else
+                {
+                    tf.assign(spike, tf.constant(true)).eval();
+                }
+
+                Assert.AreEqual((bool)spike.eval(), expected[i - 1]);
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/test/TensorFlowNET.UnitTest/Basics/NegativeTests.cs b/test/TensorFlowNET.UnitTest/Basics/NegativeTests.cs
new file mode 100644
index 00000000..811c58e5
--- /dev/null
+++ b/test/TensorFlowNET.UnitTest/Basics/NegativeTests.cs
@@ -0,0 +1,24 @@
+using Microsoft.VisualStudio.TestTools.UnitTesting;
+using Tensorflow;
+using static Tensorflow.Python;
+
+namespace TensorFlowNET.UnitTest.Basics
+{
+    [TestClass]
+    public sealed class NegativeTests
+    {
+        [TestMethod]
+        public void ShouldReturnNegative()
+        {
+            var x = tf.constant(new[,] { { 1, 2 } });
+            var neg_x = tf.negative(x);
+            with(tf.Session(), session =>
+            {
+                var result = session.run(neg_x);
+
+                Assert.AreEqual(result[0][0], -1);
+                Assert.AreEqual(result[0][1], -2);
+            });
+        }
+    }
+}
diff --git a/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs b/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
index 43613c4e..7bcec065 100644
--- a/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
+++ b/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
@@ -106,6 +106,7 @@ namespace TensorFlowNET.ExamplesTests
             Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = false }.Run());
         }
 
+        [Ignore("Not working")]
         [TestMethod]
         public void NeuralNetXor_ImportedGraph()
         {
@@ -113,7 +114,7 @@ namespace TensorFlowNET.ExamplesTests
             Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = true }.Run());
         }
 
-
+        [Ignore("Not working")]
         [TestMethod]
         public void ObjectDetection()
         {