diff --git a/src/TensorFlowNET.Core/APIs/tf.math.cs b/src/TensorFlowNET.Core/APIs/tf.math.cs
index f7f3ae61..ca047fdd 100644
--- a/src/TensorFlowNET.Core/APIs/tf.math.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.math.cs
@@ -30,6 +30,15 @@ namespace Tensorflow
         public static Tensor add(Tensor a, Tensor b) 
             => gen_math_ops.add(a, b);
 
+        /// <summary>
+        /// Computes atan of x element-wise.
+        /// </summary>
+        /// <param name="x"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor atan(Tensor x, string name = null)
+            => gen_math_ops.atan(x, name);
+
         public static Tensor arg_max(Tensor input, int dimension, TF_DataType output_type = TF_DataType.TF_INT64, string name = null)
             => gen_math_ops.arg_max(input, dimension, output_type: output_type, name: name);
 
diff --git a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
index b02aaee9..03cbee13 100644
--- a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
@@ -79,6 +79,13 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
+        public static Tensor atan(Tensor x, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("Atan", name, args: new { x });
+
+            return _op.outputs[0];
+        }
+
         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 });