diff --git a/src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs b/src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs index af9fbeda..77b115a4 100644 --- a/src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs +++ b/src/TensorFlowNET.Core/Training/Saving/SavedModel/function_deserialization.cs @@ -116,12 +116,8 @@ namespace Tensorflow.Training.Saving.SavedModel } Dictionary 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; diff --git a/src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs b/src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs index ae7e2cf5..727d18a8 100644 --- a/src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs +++ b/src/TensorFlowNET.Core/Training/Saving/SavedModel/loader.cs @@ -214,12 +214,6 @@ namespace Tensorflow 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); diff --git a/test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs b/test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs index 647b2ad7..90f5f380 100644 --- a/test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs +++ b/test/TensorFlowNET.Keras.UnitTest/Layers/ModelSaveTest.cs @@ -18,8 +18,8 @@ namespace TensorFlowNET.Keras.UnitTest { 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); }