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diff --git a/‎src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs‎
Lines changed: 1 addition & 5 deletions b/‎src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs‎
Lines changed: 1 addition & 5 deletions
diff --git a/‎src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs‎
Lines changed: 0 additions & 6 deletions b/‎src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs‎
Lines changed: 0 additions & 6 deletions
diff --git a/‎test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs‎
Lines changed: 2 additions & 2 deletions b/‎test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs‎
Lines changed: 2 additions & 2 deletions
@@ -116,12 +116,8 @@ public static Dictionary<string, ConcreteFunction> load_function_def_library(Fun
             }
 
             Dictionary<string, ConcreteFunction> loaded_gradients = new();
-            // Debug(Rinne)
-            var temp = _sort_function_defs(library, function_deps);
-            int i = 0;
-            foreach (var fdef in temp)
+            foreach (var fdef in _sort_function_defs(library, function_deps))
             {
-                i++;
                 var orig_name = _fix_fdef_in_place(fdef, functions, load_shared_name_suffix, new_gradient_op_types);
 
                 object structured_input_signature = null;
 
@@ -214,12 +214,6 @@ private List<int> _generate_ordered_node_ids()
                     continue;
                 }
                 var proto = _proto.Nodes[node_id];
-                if(node_id == 10522)
-                {
-                    // Debug(Rinne)
-                    Console.WriteLine();
-                }
-                var temp = _get_node_dependencies(proto);
                 foreach (var dep in _get_node_dependencies(proto).Values.Distinct())
                 {
                     deps.Add(dep);
 
@@ -18,8 +18,8 @@ public void GetAndFromConfig()
         {
             var model = GetFunctionalModel();
             var config = model.get_config();
-            Debug.Assert(config is ModelConfig);
-            var new_model = new ModelsApi().from_config(config as ModelConfig);
+            Debug.Assert(config is FunctionalConfig);
+            var new_model = new ModelsApi().from_config(config as FunctionalConfig);
             Assert.AreEqual(model.Layers.Count, new_model.Layers.Count);
         }
Original file line number	Diff line number	Diff line change
@@ -116,12 +116,8 @@ public static Dictionary<string, ConcreteFunction> load_function_def_library(Fun
116	116	}
117	117
118	118	Dictionary<string, ConcreteFunction> loaded_gradients = new();
119		- // Debug(Rinne)
120		- var temp = _sort_function_defs(library, function_deps);
121		- int i = 0;
122		- foreach (var fdef in temp)
	119	+ foreach (var fdef in _sort_function_defs(library, function_deps))
123	120	{
124		- i++;
125	121	var orig_name = _fix_fdef_in_place(fdef, functions, load_shared_name_suffix, new_gradient_op_types);
126	122
127	123	object structured_input_signature = null;
Original file line number	Diff line number	Diff line change
@@ -214,12 +214,6 @@ private List<int> _generate_ordered_node_ids()
214	214	continue;
215	215	}
216	216	var proto = _proto.Nodes[node_id];
217		- if(node_id == 10522)
218		- {
219		- // Debug(Rinne)
220		- Console.WriteLine();
221		- }
222		- var temp = _get_node_dependencies(proto);
223	217	foreach (var dep in _get_node_dependencies(proto).Values.Distinct())
224	218	{
225	219	deps.Add(dep);
Original file line number	Diff line number	Diff line change
@@ -18,8 +18,8 @@ public void GetAndFromConfig()
18	18	{
19	19	var model = GetFunctionalModel();
20	20	var config = model.get_config();
21		- Debug.Assert(config is ModelConfig);
22		- var new_model = new ModelsApi().from_config(config as ModelConfig);
	21	+ Debug.Assert(config is FunctionalConfig);
	22	+ var new_model = new ModelsApi().from_config(config as FunctionalConfig);
23	23	Assert.AreEqual(model.Layers.Count, new_model.Layers.Count);
24	24	}
25	25