diff --git a/‎src/TensorFlowNET.Core/Operations/array_ops.cs‎
Lines changed: 31 additions & 18 deletions b/‎src/TensorFlowNET.Core/Operations/array_ops.cs‎
Lines changed: 31 additions & 18 deletions
diff --git a/‎src/TensorFlowNET.Core/Tensors/KerasTensor.cs‎
Lines changed: 20 additions & 7 deletions b/‎src/TensorFlowNET.Core/Tensors/KerasTensor.cs‎
Lines changed: 20 additions & 7 deletions
diff --git a/‎src/TensorFlowNET.Core/Tensors/Tensor.Index.cs‎
Lines changed: 1 addition & 1 deletion b/‎src/TensorFlowNET.Core/Tensors/Tensor.Index.cs‎
Lines changed: 1 addition & 1 deletion
@@ -603,7 +603,17 @@ public static Tensor shape_internal(Tensor input, string name = null, bool optim
                     }
                 }
 
-                return gen_array_ops.shape(input, name: name, out_type: out_type);
+                return tf.Context.ExecuteOp("Shape", name, new ExecuteOpArgs(input)
+                {
+                    GetGradientAttrs = (op) => new
+                    {
+                        T = op.get_attr<TF_DataType>("T"),
+                        out_type = op.get_attr<TF_DataType>("out_type")
+                    }
+                }.SetAttributes(new
+                {
+                    out_type
+                })).First();
             });
         }
 
@@ -703,23 +713,26 @@ public static Tensor strided_slice(Tensor input_, Tensor begin, Tensor end,
             int new_axis_mask = 0,
             int shrink_axis_mask = 0,
             string name = null)
-        {
-            var op = gen_array_ops.strided_slice(
-                input: input_,
-                begin: begin,
-                end: end,
-                strides: strides,
-                begin_mask: begin_mask,
-                end_mask: end_mask,
-                ellipsis_mask: ellipsis_mask,
-                new_axis_mask: new_axis_mask,
-                shrink_axis_mask: shrink_axis_mask,
-                name: name);
-
-            string parent_name = name;
-
-            return op;
-        }
+                => tf.Context.ExecuteOp("StridedSlice", name, new ExecuteOpArgs(input_, begin, end, strides)
+                {
+                    GetGradientAttrs = (op) => new
+                    {
+                        T = op.get_attr<TF_DataType>("T"),
+                        Index = op.get_attr<TF_DataType>("Index"),
+                        begin_mask = op.get_attr<long>("begin_mask"),
+                        end_mask = op.get_attr<long>("end_mask"),
+                        ellipsis_mask = op.get_attr<long>("ellipsis_mask"),
+                        new_axis_mask = op.get_attr<long>("new_axis_mask"),
+                        shrink_axis_mask = op.get_attr<long>("shrink_axis_mask")
+                    }
+                }.SetAttributes(new
+                {
+                    begin_mask,
+                    end_mask,
+                    ellipsis_mask,
+                    new_axis_mask,
+                    shrink_axis_mask
+                }));
 
         /// <summary>
         /// Returns the gradient of `StridedSlice`.
 
@@ -5,12 +5,17 @@
 /// </summary>
 public class KerasTensor
 {
-    private Tensor _tensor;
-    public void SetTensor(Tensors tensor) 
-        => _tensor = tensor;
+    private Tensors _inferred_value;
+    public Tensors inferred_value 
+    {
+        get => _inferred_value;
+        set => _inferred_value = value;
+    }
 
-    private TensorSpec _type_spec;
     private string _name;
+    private TensorSpec _type_spec;
+    public Shape shape => _type_spec.shape;
+    public TF_DataType dtype => _type_spec.dtype;
 
     public KerasTensor(TensorSpec type_spec, string name = null)
     {
@@ -22,15 +27,23 @@ public static KerasTensor from_tensor(Tensor tensor)
     {
         var type_spec = tensor.ToTensorSpec();
         var kt = new KerasTensor(type_spec, name: tensor.name);
-        kt.SetTensor(tensor);
+        kt.inferred_value = tensor;
         return kt;
     }
 
+    public override string ToString()
+        => _inferred_value.Length switch
+        {
+            > 1 => "[" + string.Join(", ", _inferred_value.Select(x => $"<KerasTensor: shape={x.shape} dtype={x.dtype}>")) + "]",
+            1 => $"<KerasTensor: shape={_inferred_value.shape} dtype={_inferred_value.dtype}>",
+            _ => _inferred_value.ToString(),
+        };
+
     public static implicit operator Tensors(KerasTensor kt)
-        => kt._tensor;
+        => kt._inferred_value;
 
     public static implicit operator Tensor(KerasTensor kt)
-        => kt._tensor;
+        => kt._inferred_value;
 
     public static implicit operator KerasTensor(Tensor tensor)
         => from_tensor(tensor);
 
@@ -42,7 +42,7 @@ public Tensor this[params Slice[] slices]
                                 array_ops.stack(args.End),
                                 array_ops.stack(args.Strides));
 
-                        return gen_array_ops.strided_slice(
+                        return array_ops.strided_slice(
                             this,
                             packed_begin,
                             packed_end,