diff --git a/src/TensorFlowNET.Core/Operations/array_ops.cs b/src/TensorFlowNET.Core/Operations/array_ops.cs
index 5374d72b..662bdc77 100644
--- a/src/TensorFlowNET.Core/Operations/array_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/array_ops.cs
@@ -178,6 +178,13 @@ namespace Tensorflow
             return dtype;
         }
 
+        /// <summary>
+        /// Converts the given list or tuple to a tensor by packing.
+        /// </summary>
+        /// <param name="list_or_tuple">A (possibly nested) list or tuple containing a tensor.</param>
+        /// <param name="dtype"></param>
+        /// <param name="name"></param>
+        /// <returns>A `tf.Tensor` with value equivalent to `list_or_tuple`.</returns>
         public static Tensor _autopacking_helper(object[] list_or_tuple, TF_DataType dtype, string name)
         {
             var must_pack = false;
diff --git a/src/TensorFlowNET.Core/Operations/gen_array_ops.cs b/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
index d151d024..e4f9cc92 100644
--- a/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_array_ops.cs
@@ -122,6 +122,12 @@ namespace Tensorflow
 
         public static Tensor pack(Tensor[] values, int axis = 0, string name = null)
         {
+            if(tf.context.executing_eagerly())
+            {
+                var _result = pywrap_tfe_src.TFE_Py_FastPathExecute(tf.context, tf.context.device_name, "Pack", name, null, values, "axis", axis);
+                return _result;
+            }
+
             var _op = _op_def_lib._apply_op_helper("Pack", name: name, args: new { values, axis });
 
             return _op.outputs[0];
diff --git a/src/TensorFlowNET.Core/ops.cs b/src/TensorFlowNET.Core/ops.cs
index 15115d3f..9ac0a042 100644
--- a/src/TensorFlowNET.Core/ops.cs
+++ b/src/TensorFlowNET.Core/ops.cs
@@ -97,9 +97,6 @@ namespace Tensorflow
         /// <returns></returns>
         public static Tensor convert_to_tensor(object value, TF_DataType dtype = TF_DataType.DtInvalid, string name = null, TF_DataType preferred_dtype = TF_DataType.DtInvalid)
         {
-            if (value is Tensor tensor)
-                return tensor;
-
             return convert_to_tensor_v2(value, dtype, preferred_dtype, name);
         }