Change Config as JObject in KerasMetaData

src/TensorFlowNET.Core/Keras/ArgsDefinition/LayerArgs.cs

@@ -45,5 +45,7 @@
         public IRegularizer ActivityRegularizer { get; set; }
 
         public bool Autocast { get; set; }
+
+        public bool IsFromConfig { get; set; }
     }
 }

src/TensorFlowNET.Core/Keras/ArgsDefinition/Preprocessing/ResizingArgs.cs

@@ -1,6 +1,6 @@
 namespace Tensorflow.Keras.ArgsDefinition
 {
-    public class ResizingArgs : LayerArgs
+    public class ResizingArgs : PreprocessingLayerArgs
     {
         public int Height { get; set; }
         public int Width { get; set; }

src/TensorFlowNET.Keras/Layers/Preprocessing/PreprocessingLayer.cs

@@ -0,0 +1,16 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+using Tensorflow.Keras.ArgsDefinition;
+using Tensorflow.Keras.Engine;
+
+namespace Tensorflow.Keras.Layers
+{
+    public class PreprocessingLayer : Layer
+    {
+        public PreprocessingLayer(PreprocessingLayerArgs args) : base(args)
+        {
+
+        }
+    }
+}

src/TensorFlowNET.Keras/Layers/Preprocessing/Resizing.cs

@@ -1,7 +1,9 @@
-using System;
+using Newtonsoft.Json;
+using Newtonsoft.Json.Linq;
+using System;
 using System.Text;
 using Tensorflow.Keras.ArgsDefinition;
-using Tensorflow.Keras.Engine;
+using Tensorflow.Keras.Saving;
 
 namespace Tensorflow.Keras.Layers
 {
@@ -9,7 +11,7 @@ namespace Tensorflow.Keras.Layers
     /// Resize the batched image input to target height and width. 
     /// The input should be a 4-D tensor in the format of NHWC.
     /// </summary>
-    public class Resizing : Layer
+    public class Resizing : PreprocessingLayer
     {
         ResizingArgs args;
         public Resizing(ResizingArgs args) : base(args)
@@ -26,5 +28,12 @@ namespace Tensorflow.Keras.Layers
         {
             return new TensorShape(input_shape.dims[0], args.Height, args.Width, input_shape.dims[3]);
         }
+
+        public static Resizing from_config(JObject config)
+        {
+            var args = JsonConvert.DeserializeObject<ResizingArgs>(config.ToString());
+            args.IsFromConfig = true;
+            return new Resizing(args);
+        }
     }
 }

src/TensorFlowNET.Keras/Saving/KerasMetaData.cs

@@ -1,4 +1,5 @@
 using Newtonsoft.Json;
+using Newtonsoft.Json.Linq;
 using System;
 using System.Collections.Generic;
 using System.Text;
@@ -16,7 +17,7 @@ namespace Tensorflow.Keras.Saving
         public int SharedObjectId { get; set; }
         [JsonProperty("must_restore_from_config")]
         public bool MustRestoreFromConfig { get; set; }
-        public ModelConfig Config { get; set; }
+        public JObject Config { get; set; }
         [JsonProperty("build_input_shape")]
         public TensorShapeConfig BuildInputShape { get; set; }
     }

src/TensorFlowNET.Keras/Saving/KerasObjectLoader.cs

@@ -5,8 +5,10 @@ using System.Linq;
 using System.Text.RegularExpressions;
 using Tensorflow.Keras.ArgsDefinition;
 using Tensorflow.Keras.Engine;
+using Tensorflow.Keras.Layers;
 using ThirdParty.Tensorflow.Python.Keras.Protobuf;
 using static Tensorflow.Binding;
+using static Tensorflow.KerasApi;
 
 namespace Tensorflow.Keras.Saving
 {
@@ -73,7 +75,7 @@ namespace Tensorflow.Keras.Saving
             {
                 model = new Sequential(new SequentialArgs
                 {
-                    Name = config.Name
+                    Name = config.GetValue("name").ToString()
                 });
             }
             else if (class_name == "Functional")
@@ -97,7 +99,12 @@ namespace Tensorflow.Keras.Saving
             var class_name = metadata.ClassName;
             var shared_object_id = metadata.SharedObjectId;
             var must_restore_from_config = metadata.MustRestoreFromConfig;
-
+            var obj = class_name switch
+            {
+                "Resizing" => Resizing.from_config(config),
+                _ => throw new NotImplementedException("")
+            };
+            var built = _try_build_layer(obj, node_id, metadata.BuildInputShape);
             return null;
         }
 
@@ -157,5 +164,13 @@ namespace Tensorflow.Keras.Saving
 
             return false;
         }
+
+        bool _try_build_layer(Layer obj, int node_id, TensorShape build_input_shape)
+        {
+            if (obj.Built)
+                return true;
+
+            return false;
+        }
     }
 }

src/TensorFlowNET.Keras/Saving/TensorShapeConfig.cs

@@ -10,6 +10,6 @@ namespace Tensorflow.Keras.Saving
         public int?[] Items { get; set; }
 
         public static implicit operator TensorShape(TensorShapeConfig shape)
-            => new TensorShape(shape.Items.Select(x => x.HasValue ? x.Value : -1).ToArray());
+            => shape == null ? null : new TensorShape(shape.Items.Select(x => x.HasValue ? x.Value : -1).ToArray());
     }
 }