diff --git a/src/TensorFlowNET.Core/APIs/tf.math.cs b/src/TensorFlowNET.Core/APIs/tf.math.cs
index fbf3dd00..5c31fce0 100644
--- a/src/TensorFlowNET.Core/APIs/tf.math.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.math.cs
@@ -287,6 +287,9 @@ namespace Tensorflow
         public static Tensor reduce_mean(Tensor input_tensor, int[] axis = null, bool keepdims = false, string name = null, int? reduction_indices = null)
             => math_ops.reduce_mean(input_tensor, axis: axis, keepdims: keepdims, name: name, reduction_indices: reduction_indices);
 
+        public static Tensor round(Tensor x, string name = null)
+            => gen_math_ops.round(x, name: name);
+
         public static Tensor cast(Tensor x, TF_DataType dtype = TF_DataType.DtInvalid, string name = null) 
             => math_ops.cast(x, dtype, name);
 
diff --git a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
index 56477442..ee6f3a39 100644
--- a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
@@ -429,6 +429,28 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        /// <summary>
+        ///    Rounds the values of a tensor to the nearest integer, element-wise.
+        /// </summary>
+        /// <param name="x">
+        /// </param>
+        /// <param name="name">
+        /// If specified, the created operation in the graph will be this one, otherwise it will be named 'Round'.
+        /// </param>
+        /// <returns>
+        ///    The Operation can be fetched from the resulting Tensor, by fetching the Operation property from the result.
+        /// </returns>
+        /// <remarks>
+        ///    Rounds half to even.  Also known as bankers rounding. If you want to round
+        ///    according to the current system rounding mode use std::cint.
+        /// </remarks>
+        public static Tensor round(Tensor x, string name = "Round")
+        {
+            var op = _op_def_lib._apply_op_helper("Round", name: name, new { x });
+
+            return op.output;
+        }
+
         /// <summary>
         /// Computes reciprocal of square root of x element-wise.
         /// </summary>