Refine some code after merge.

src/TensorFlowNET.Core/Operations/Initializers/Orthogonal.cs

@@ -32,10 +32,10 @@ public class Orthogonal : IInitializer
         _seed = seed;
     }
 
-        private readonly Dictionary<string, object> _config;
+    private readonly Dictionary<string, object> _config;
 
-        public string ClassName => "Orthogonal";
-        public IDictionary<string, object> Config => throw new NotImplementedException();
+    public string ClassName => "Orthogonal";
+    public IDictionary<string, object> Config => throw new NotImplementedException();
     public Tensor Apply(InitializerArgs args)
     {
         return _generate_init_val(args.Shape, args.DType == TF_DataType.DtInvalid ? TF_DataType.TF_FLOAT : args.DType);

test/TensorFlowNET.Keras.UnitTest/InitializerTest.cs

@@ -6,7 +6,7 @@ using System.Text;
 using TensorFlowNET.Keras.UnitTest;
 using static Tensorflow.Binding;
 
-namespace Tensorflow.Keras.UnitTest;
+namespace TensorFlowNET.Keras.UnitTest;
 
 [TestClass]
 public class InitializerTest : EagerModeTestBase
@@ -15,6 +15,6 @@ public class InitializerTest : EagerModeTestBase
     public void Orthogonal()
     {
         var initializer = tf.keras.initializers.Orthogonal();
-        var values = initializer.Apply(new InitializerArgs((2, 2)));
+        var values = initializer.Apply(new Tensorflow.InitializerArgs((2, 2)));
     }
 }