diff --git a/src/TensorFlowNET.Core/APIs/tf.tensor.cs b/src/TensorFlowNET.Core/APIs/tf.tensor.cs
index 2052de93..8ba78f42 100644
--- a/src/TensorFlowNET.Core/APIs/tf.tensor.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.tensor.cs
@@ -54,5 +54,23 @@ namespace Tensorflow
                 new_axis_mask: new_axis_mask,
                 shrink_axis_mask: shrink_axis_mask,
                 name: name);
+
+        /// <summary>
+        /// Splits a tensor into sub tensors.
+        /// </summary>
+        /// <param name="value">The Tensor to split.</param>
+        /// <param name="num_split">Either an integer indicating the number of splits along split_dim or a 1-D integer
+        /// Tensor or Python list containing the sizes of each output tensor along split_dim.
+        /// If a scalar then it must evenly divide value.shape[axis]; otherwise the sum of sizes along the split dimension must match that of the value.</param>
+        /// <param name="axis">An integer or scalar int32 Tensor. The dimension along which to split. Must be in the range [-rank(value), rank(value)). Defaults to 0.</param>
+        /// <param name="name">A name for the operation (optional)</param>
+        /// <returns>if num_or_size_splits is a scalar returns num_or_size_splits Tensor objects;
+        /// if num_or_size_splits is a 1-D Tensor returns num_or_size_splits.get_shape[0] Tensor objects resulting from splitting value.</returns>
+        public Tensor[] split(Tensor value, int num_split, Tensor axis, string name = null) => gen_array_ops.split(
+                value: value,
+                axis: axis,
+                num_split: num_split,
+                name: name
+            );
     }
 }