diff --git a/src/TensorFlowNET.Core/Gradients/TapeTensor.cs b/src/TensorFlowNET.Core/Gradients/TapeTensor.cs
index 2396ae25..6999bee7 100644
--- a/src/TensorFlowNET.Core/Gradients/TapeTensor.cs
+++ b/src/TensorFlowNET.Core/Gradients/TapeTensor.cs
@@ -22,10 +22,10 @@ namespace Tensorflow.Gradients
 
         public long GetID() => id;
 
-        public Tensor ZerosLike(int[] shape = null, TF_DataType dtype = TF_DataType.TF_FLOAT)
-            => tf.zeros(shape == null ? new int[0] : shape, dtype: dtype);
+        public Tensor ZerosLike()
+            => tf.zeros(shape: shape, dtype: dtype);
 
-        public Tensor OnesLike(int[] shape = null, TF_DataType dtype = TF_DataType.TF_FLOAT)
-            => tf.ones(shape == null ? new int[0] : shape, dtype: dtype);
+        public Tensor OnesLike()
+            => tf.ones(shape: shape, dtype: dtype);
     }
 }
diff --git a/src/TensorFlowNET.Core/Gradients/math_grad.cs b/src/TensorFlowNET.Core/Gradients/math_grad.cs
index c40efc33..0d6afbc9 100644
--- a/src/TensorFlowNET.Core/Gradients/math_grad.cs
+++ b/src/TensorFlowNET.Core/Gradients/math_grad.cs
@@ -609,7 +609,7 @@ namespace Tensorflow.Gradients
             return tf_with(ops.control_dependencies(grads), delegate
             {
                 x = math_ops.conj(x);
-                var y = constant_op.constant(2.0f, dtype: x.dtype);
+                var y = constant_op.constant(2.0, dtype: x.dtype);
                 return new Tensor[] { math_ops.multiply(grad, math_ops.multiply(x, y)) };
             });
         }
diff --git a/src/TensorFlowNET.Core/Tensors/constant_op.cs b/src/TensorFlowNET.Core/Tensors/constant_op.cs
index 369e0d26..0149ae1b 100644
--- a/src/TensorFlowNET.Core/Tensors/constant_op.cs
+++ b/src/TensorFlowNET.Core/Tensors/constant_op.cs
@@ -119,6 +119,9 @@ namespace Tensorflow
             {
                 switch (dtype)
                 {
+                    case TF_DataType.TF_DOUBLE:
+                        value = Convert.ToDouble(value);
+                        break;
                     case TF_DataType.TF_FLOAT:
                         value = Convert.ToSingle(value);
                         break;
diff --git a/test/TensorFlowNET.UnitTest/TF_API/GradientTest.cs b/test/TensorFlowNET.UnitTest/TF_API/GradientTest.cs
index 0f91f93f..e34fce17 100644
--- a/test/TensorFlowNET.UnitTest/TF_API/GradientTest.cs
+++ b/test/TensorFlowNET.UnitTest/TF_API/GradientTest.cs
@@ -13,7 +13,7 @@ namespace Tensorflow.UnitTest.TF_API
         [TestMethod]
         public void GradientFloatTest()
         {
-            var x = tf.Variable(3.0, dtype: TF_DataType.TF_FLOAT);
+            var x = tf.Variable(3.0, dtype: tf.float32);
             using var tape = tf.GradientTape();
             var y = tf.square(x);
             var y_grad = tape.gradient(y, x);
@@ -22,26 +22,22 @@ namespace Tensorflow.UnitTest.TF_API
 
         [TestMethod]
         public void GradientDefaultTest()
-        {//error 1#: Variable default type 
+        {
             var x = tf.Variable(3.0);
             using var tape = tf.GradientTape();
             var y = tf.square(x);
             var y_grad = tape.gradient(y, x);
             Assert.AreEqual(9.0, (double)y);
         }
+
         [TestMethod]
         public void GradientDoubleTest()
-        {//error 2#: Variable double type
-            var x = tf.Variable(3.0, dtype: TF_DataType.TF_DOUBLE);
+        {
+            var x = tf.Variable(3.0, dtype: tf.float64);
             using var tape = tf.GradientTape();
             var y = tf.square(x);
             var y_grad = tape.gradient(y, x);
             Assert.AreEqual(9.0, (double)y);
         }
-
-
-
-
-
     }
 }