Adding `logical_xor` operator (#346)

Relative unit test in `OperationTest`.

src/TensorFlowNET.Core/APIs/tf.math.cs

@@ -198,6 +198,9 @@ namespace Tensorflow
         public static Tensor logical_or(Tensor x, Tensor y, string name = null)
             => gen_math_ops.logical_or(x, y, name);
 
+        public static Tensor logical_xor(Tensor x, Tensor y, string name = "LogicalXor")
+            => gen_math_ops.logical_xor(x, y, name);
+
         /// <summary>
         /// Clips tensor values to a specified min and max.
         /// </summary>

src/TensorFlowNET.Core/Operations/gen_math_ops.cs

@@ -371,6 +371,14 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor logical_xor(Tensor x, Tensor y, string name = "LogicalXor")
+        {
+            return logical_and(
+                logical_or(x, y),
+                logical_not(logical_and(x, y)),
+                name);
+        }
+
         public static Tensor squared_difference(Tensor x, Tensor y, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("SquaredDifference", name, args: new { x, y, name });

test/TensorFlowNET.UnitTest/OperationsTest.cs

@@ -162,6 +162,15 @@ namespace TensorFlowNET.UnitTest
                 var o = sess.run(d);
                 Assert.IsTrue(o.array_equal(check));
             }
+
+            d = tf.cast(tf.logical_xor(b, c), tf.int32);
+            check = np.array(new[] { 1, 1, 1, 1, 1, 1, 1, 1 });
+
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(d);
+                Assert.IsTrue(o.array_equal(check));
+            }
         }
 
         [TestMethod]