diff --git a/src/TensorFlowNET.Core/Gradients/ops.gradient_function_mapping.cs b/src/TensorFlowNET.Core/Gradients/ops.gradient_function_mapping.cs
index be7bf670..044ae9fe 100644
--- a/src/TensorFlowNET.Core/Gradients/ops.gradient_function_mapping.cs
+++ b/src/TensorFlowNET.Core/Gradients/ops.gradient_function_mapping.cs
@@ -52,7 +52,7 @@ namespace Tensorflow
 
                                 var results = m.Name switch
                                 {
-                                    "_AddGrad" => math_grad._AddGrad(oper, out_grads),
+                                    /*"_AddGrad" => math_grad._AddGrad(oper, out_grads),
                                     "_AddV2Grad" => math_grad._AddV2Grad(oper, out_grads),
                                     "_BiasAddGrad" => nn_grad._BiasAddGrad(oper, out_grads),
                                     "_CastGrad" => math_grad._CastGrad(oper, out_grads),
@@ -79,7 +79,7 @@ namespace Tensorflow
                                     "_SigmoidGrad" => math_grad._SigmoidGrad(oper, out_grads),
                                     "_SumGrad" => math_grad._SumGrad(oper, out_grads),
                                     "_SubGrad" => math_grad._SubGrad(oper, out_grads),
-                                    "_StridedSliceGrad" => array_grad._StridedSliceGrad(oper, out_grads),
+                                    "_StridedSliceGrad" => array_grad._StridedSliceGrad(oper, out_grads),*/
                                     _ => g.InvokeMember(m.Name,
                                            BindingFlags.InvokeMethod,
                                            null,
diff --git a/src/TensorFlowNET.Core/Tensorflow.Binding.csproj b/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
index 1ad13896..1e0a8c10 100644
--- a/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
+++ b/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
@@ -5,7 +5,7 @@
     <AssemblyName>TensorFlow.NET</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>2.2.0</TargetTensorFlow>
-    <Version>0.60.4</Version>
+    <Version>0.60.5</Version>
     <LangVersion>9.0</LangVersion>
     <Nullable>enable</Nullable>
     <Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
diff --git a/src/TensorFlowNET.Core/Tensors/Tensors.cs b/src/TensorFlowNET.Core/Tensors/Tensors.cs
index b9cafda1..88f8fe84 100644
--- a/src/TensorFlowNET.Core/Tensors/Tensors.cs
+++ b/src/TensorFlowNET.Core/Tensors/Tensors.cs
@@ -27,17 +27,8 @@ namespace Tensorflow
 
         public Tensor this[int index]
         {
-            get
-            {
-                if (Length == 1)
-                    return items[0][index];
-                return items[index];
-            }
-
-            set
-            {
-                items[index] = value;
-            }
+            get => items[index];
+            set => items[index] = value;
         }
 
         public Tensor this[params string[] slices]
diff --git a/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj b/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
index 7b0ef5ba..03d9ad99 100644
--- a/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
+++ b/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
@@ -7,7 +7,7 @@
     <Nullable>enable</Nullable>
     <RootNamespace>Tensorflow.Keras</RootNamespace>
     <Platforms>AnyCPU;x64</Platforms>
-    <Version>0.6.4</Version>
+    <Version>0.6.5</Version>
     <Authors>Haiping Chen</Authors>
     <Product>Keras for .NET</Product>
     <Copyright>Apache 2.0, Haiping Chen 2021</Copyright>
diff --git a/test/TensorFlowNET.Keras.UnitTest/Layers/LayersTest.cs b/test/TensorFlowNET.Keras.UnitTest/Layers/LayersTest.cs
index 3aeabef5..aceb0e0c 100644
--- a/test/TensorFlowNET.Keras.UnitTest/Layers/LayersTest.cs
+++ b/test/TensorFlowNET.Keras.UnitTest/Layers/LayersTest.cs
@@ -159,7 +159,7 @@ namespace TensorFlowNET.Keras.UnitTest
         {
             var inputs = tf.constant(np.arange(10).reshape((5, 2)) * 10, dtype: tf.float32);
             var layer = keras.layers.LayerNormalization(axis: 1);
-            var output = layer.Apply(inputs);
+            Tensor output = layer.Apply(inputs);
             Assert.AreEqual((5, 2), output.shape);
             Assert.IsTrue(output[0].numpy().Equals(new[] { -0.99998f, 0.99998f }));
         }