diff --git a/src/TensorFlowNET.Core/Eager/pywrap_tfe_src.cs b/src/TensorFlowNET.Core/Eager/pywrap_tfe_src.cs
index bf2ecb62..792e945d 100644
--- a/src/TensorFlowNET.Core/Eager/pywrap_tfe_src.cs
+++ b/src/TensorFlowNET.Core/Eager/pywrap_tfe_src.cs
@@ -10,6 +10,7 @@ namespace Tensorflow.Eager
     /// </summary>
     public class pywrap_tfe_src
     {
+        static int kFastPathExecuteInputStartIndex = 0;
         public static EagerTensor TFE_Py_FastPathExecute(Context ctx, 
             string device_name, 
             string opName, 
@@ -28,7 +29,7 @@ namespace Tensorflow.Eager
 
                 // Set non-inferred attrs, including setting defaults if the attr is passed in
                 // as None.
-                for (int i = op_def.InputArg.Count; i < args_size; i += 2)
+                for (int i = kFastPathExecuteInputStartIndex + op_def.InputArg.Count; i < args_size; i += 2)
                 {
                     var attr_name = args[i].ToString();
                     var attr_value = args[i + 1];
@@ -38,20 +39,39 @@ namespace Tensorflow.Eager
                         if(attr_name == attr.Name)
                         {
                             SetOpAttrWithDefaults(ctx, op, attr, attr_name, attr_value, attr_list_sizes, status);
+                            status.Check(true);
                             break;
                         }
                     }
                 }
 
                 c_api.TFE_OpSetDevice(op, device_name, status);
+                status.Check(true);
 
+                // Add inferred attrs and inputs.
                 for (int i = 0; i < op_def.InputArg.Count; i++)
                 {
                     var input_arg = op_def.InputArg[i];
+                    int len = (args[kFastPathExecuteInputStartIndex + i] as object[]).Length;
                     if (!string.IsNullOrEmpty(input_arg.NumberAttr))
                     {
-                        c_api.TFE_OpSetAttrInt(op, input_arg.NumberAttr, 0);
-                        attr_list_sizes[input_arg.NumberAttr] = 0;
+                        c_api.TFE_OpSetAttrInt(op, input_arg.NumberAttr, len);
+                        attr_list_sizes[input_arg.NumberAttr] = len;
+
+                        if (len > 0)
+                        {
+                            var fast_input_array = (object[])args[i];
+                            // First item adds the type attr.
+                            if (!AddInputToOp(fast_input_array[i], true, input_arg, op, status))
+                                return null;
+
+                            for (var j = 1; j < len; j++)
+                            {
+                                // Since the list is homogeneous, we don't need to re-add the attr.
+                                if (!AddInputToOp(fast_input_array[j], false, input_arg, op, status))
+                                    return null;
+                            }
+                        }
                     }
                     else if (!string.IsNullOrEmpty(input_arg.TypeListAttr))
                     {
@@ -60,14 +80,7 @@ namespace Tensorflow.Eager
                     else
                     {
                         // The item is a single item.
-                        switch (args[i])
-                        {
-                            case Tensor inputTensor:
-                                AddInputToOp(inputTensor, true, input_arg, op, status);
-                                break;
-                            default:
-                                throw new NotImplementedException("");
-                        }
+                        AddInputToOp(args[i], true, input_arg, op, status);
                     }
                 }
 
@@ -106,13 +119,23 @@ namespace Tensorflow.Eager
         /// <param name="op"></param>
         /// <param name="status"></param>
         /// <returns></returns>
-        private static bool AddInputToOp(Tensor input,
+        private static bool AddInputToOp(object inputs,
             bool add_type_attr,
             ArgDef input_arg,
             IntPtr op, 
             Status status)
         {
-            var input_handle = c_api.TFE_NewTensorHandle(input, status);
+            IntPtr input_handle = IntPtr.Zero;
+
+            switch (inputs)
+            {
+                case Tensor input:
+                    input_handle = c_api.TFE_NewTensorHandle(input, status);
+                    break;
+                default:
+                    throw new NotImplementedException("");
+            }
+
 
             if(add_type_attr && !string.IsNullOrEmpty(input_arg.TypeAttr))
             {