diff --git a/src/TensorFlowNET.Core/Operations/gen_array_ops.cs b/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
index 35284eb2..1bf03e7f 100644
--- a/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
@@ -485,6 +485,16 @@ namespace Tensorflow
 
         public static Tensor[] split(Tensor axis, Tensor value, int num_split, string name = null)
         {
+            if (tf.context.executing_eagerly())
+            {
+                var results = tf.Runner.TFE_FastPathExecute(tf.context, tf.context.device_name,
+                    "Split", name,
+                    null,
+                    axis, value, num_split);
+
+                return results;
+            }
+
             var _op = tf._op_def_lib._apply_op_helper("Split", name, new { split_dim = axis, value, num_split });
             return _op.outputs;
         }
diff --git a/test/TensorFlowNET.UnitTest/TF_API/TensorOperate.cs b/test/TensorFlowNET.UnitTest/TF_API/TensorOperate.cs
index 06448e5e..d2bd19ca 100644
--- a/test/TensorFlowNET.UnitTest/TF_API/TensorOperate.cs
+++ b/test/TensorFlowNET.UnitTest/TF_API/TensorOperate.cs
@@ -52,5 +52,19 @@ namespace Tensorflow.UnitTest.TF_API
             var concatValue = tf.concat(new[] { a, b, c }, axis: 0);
             Assert.IsTrue(Enumerable.SequenceEqual(new[] { 6, 2 }, concatValue.shape));
         }
+        [TestMethod]
+        public void SplitTest()
+        {
+            var a = tf.constant(new[,] { { 1, 2 }, { 3, 4 } });
+            var b = tf.constant(new[,] { { 5, 6 }, { 7, 8 } });
+            var c = tf.constant(new[,] { { 9, 10 }, { 11, 12 } });
+
+            var concatValue = tf.concat(new[] { a, b, c }, axis: 0);
+
+            var splitValue = tf.split(concatValue, 3, axis: new Tensor(0));
+            Assert.IsTrue(Enumerable.SequenceEqual(new[] { 2, 2 }, splitValue[0].shape));
+
+        }
+
     }
 }