Rename SaveableObject to MySaveableObject.

src/TensorFlowNET.Core/Training/Saving/BaseSaverBuilder.cs

@@ -37,7 +37,7 @@ namespace Tensorflow
         /// <param name="filename_tensor"></param>
         /// <param name="saveables"></param>
         /// <returns></returns>
-        public virtual Operation save_op(Tensor filename_tensor, SaveableObject[] saveables)
+        public virtual Operation save_op(Tensor filename_tensor, MySaveableObject[] saveables)
         {
             var tensor_names = new List<string>();
             var tensors = new List<Tensor>();
@@ -63,7 +63,7 @@ namespace Tensorflow
             }
         }
 
-        public virtual Tensor[] bulk_restore(Tensor filename_tensor, SaveableObject[] saveables, int preferred_shard, bool restore_sequentially)
+        public virtual Tensor[] bulk_restore(Tensor filename_tensor, MySaveableObject[] saveables, int preferred_shard, bool restore_sequentially)
         {
             var names = new List<string>();
             var slices = new List<string>();
@@ -182,7 +182,7 @@ namespace Tensorflow
             });
         }
 
-        public Tensor _AddSaveOps(Tensor filename_tensor, SaveableObject[] saveables)
+        public Tensor _AddSaveOps(Tensor filename_tensor, MySaveableObject[] saveables)
         {
             var save = save_op(filename_tensor, saveables);
             return control_flow_ops.with_dependencies(new Operation[] { save }, filename_tensor);
@@ -199,7 +199,7 @@ namespace Tensorflow
         /// <param name="name"></param>
         /// <returns>An Operation that restores the variables.</returns>
         public Operation _AddRestoreOps(Tensor filename_tensor, 
-            SaveableObject[] saveables,
+            MySaveableObject[] saveables,
             bool restore_sequentially,
             bool reshape,
             int preferred_shard = -1,

src/TensorFlowNET.Core/Training/Saving/ISaverBuilder.cs

@@ -18,9 +18,9 @@ namespace Tensorflow
 {
     public interface ISaverBuilder
     {
-        Operation save_op(Tensor filename_tensor, SaveableObject[] saveables);
+        Operation save_op(Tensor filename_tensor, MySaveableObject[] saveables);
 
-        Tensor[] bulk_restore(Tensor filename_tensor, SaveableObject[] saveables, int preferred_shard, bool restore_sequentially);
+        Tensor[] bulk_restore(Tensor filename_tensor, MySaveableObject[] saveables, int preferred_shard, bool restore_sequentially);
 
         SaverDef _build_internal(IVariableV1[] names_to_saveables, 
             bool reshape = false, 

src/TensorFlowNET.Core/Training/Saving/ReferenceVariableSaveable.cs

@@ -16,7 +16,7 @@
 
 namespace Tensorflow
 {
-    public class ReferenceVariableSaveable : SaveableObject
+    public class ReferenceVariableSaveable : MySaveableObject
     {
         private SaveSpec _spec;
 

src/TensorFlowNET.Core/Training/Saving/ResourceVariableSaveable.cs

@@ -16,7 +16,7 @@
 
 namespace Tensorflow
 {
-    public class ResourceVariableSaveable : SaveableObject
+    public class ResourceVariableSaveable : MySaveableObject
     {
         string _var_device;
         int[] _var_shape;

src/TensorFlowNET.Core/Training/Saving/SaveableObject.cs

@@ -16,24 +16,24 @@
 
 namespace Tensorflow
 {
-    public class SaveableObject
+    public class MySaveableObject
     {
         public Tensor op;
         public SaveSpec[] specs;
         public string name;
         public string device;
 
-        public SaveableObject()
+        public MySaveableObject()
         {
 
         }
 
-        public SaveableObject(Tensor var, string slice_spec, string name)
+        public MySaveableObject(Tensor var, string slice_spec, string name)
         {
 
         }
 
-        public SaveableObject(Tensor op, SaveSpec[] specs, string name)
+        public MySaveableObject(Tensor op, SaveSpec[] specs, string name)
         {
             this.op = op;
             this.specs = specs;

src/TensorFlowNET.Core/Training/Saving/saveable_object_util.py.cs

@@ -28,10 +28,10 @@ namespace Tensorflow
         /// </summary>
         /// <param name="names_to_saveables"></param>
         /// <returns></returns>
-        public static SaveableObject[] validate_and_slice_inputs(IVariableV1[] names_to_saveables)
+        public static MySaveableObject[] validate_and_slice_inputs(IVariableV1[] names_to_saveables)
         {
             var names_to_saveables_dict = op_list_to_dict(names_to_saveables);
-            var saveables = new List<SaveableObject>();
+            var saveables = new List<MySaveableObject>();
             var seen_ops = new List<Tensor>();
 
             foreach (var (name, op) in enumerate(names_to_saveables_dict))
@@ -42,7 +42,7 @@ namespace Tensorflow
             return saveables.ToArray();
         }
 
-        private static void _add_saveable<T>(List<T> saveables, List<Tensor> seen_ops, T saveable) where T : SaveableObject
+        private static void _add_saveable<T>(List<T> saveables, List<Tensor> seen_ops, T saveable) where T : MySaveableObject
         {
             if (seen_ops.Contains(saveable.op))
                 throw new ValueError($"The same saveable will be restored with two names: {saveable.name}");
@@ -57,7 +57,7 @@ namespace Tensorflow
         /// <param name="op"></param>
         /// <param name="name"></param>
         /// <returns></returns>
-        public static IEnumerable<SaveableObject> saveable_objects_for_op(Tensor op, string name)
+        public static IEnumerable<MySaveableObject> saveable_objects_for_op(Tensor op, string name)
         {
             if (false)
             {