Reverse complex number delegation order to prevent extra heap allocation

Author: mvphelps

src/TorchSharp/Tensor/Factories/tensor_double.cs

@@ -26,18 +26,19 @@ public static Tensor tensor(double scalar, ScalarType? dtype = null, Device? dev
         /// </summary>
         public static Tensor tensor((double Real, double Imaginary) scalar, ScalarType? dtype = null, Device? device = null, bool requires_grad = false)
         {
-            device = InitializeDevice(device);
-            var handle = THSTensor_newComplexFloat64Scalar(scalar.Real, scalar.Imaginary, (int)device.type, device.index, requires_grad);
-            if (handle == IntPtr.Zero) { CheckForErrors(); }
-            return InstantiateTensorWithLeakSafeTypeChange(handle, dtype);
+            return tensor(scalar.Real, scalar.Imaginary, dtype, device, requires_grad);
         }
 
         /// <summary>
         /// Create a scalar complex number tensor from independent real and imaginary components
         /// </summary>
         public static Tensor tensor(double real, double imaginary, ScalarType? dtype = null, Device? device = null, bool requires_grad = false)
         {
-            return tensor((real, imaginary), dtype, device, requires_grad);
+
+            device = InitializeDevice(device);
+            var handle = THSTensor_newComplexFloat64Scalar(real, imaginary, (int)device.type, device.index, requires_grad);
+            if (handle == IntPtr.Zero) { CheckForErrors(); }
+            return InstantiateTensorWithLeakSafeTypeChange(handle, dtype);
         }
 
         /// <summary>

src/TorchSharp/Tensor/Factories/tensor_float.cs

@@ -26,18 +26,18 @@ public static Tensor tensor(float scalar, Device? device = null, bool requires_g
         /// </summary>
         public static Tensor tensor(float real, float imaginary, ScalarType? dtype = null, Device? device = null, bool requires_grad = false)
         {
-            return tensor((real, imaginary), dtype: dtype, device: device);
+            device = InitializeDevice(device);
+            var handle = THSTensor_newComplexFloat32Scalar(real, imaginary, (int)device.type, device.index, requires_grad);
+            if (handle == IntPtr.Zero) { CheckForErrors(); }
+            return InstantiateTensorWithLeakSafeTypeChange(handle, dtype);
         }
 
         /// <summary>
         /// Create a scalar complex number tensor from a tuple of (real, imaginary)
         /// </summary>
         public static Tensor tensor((float Real, float Imaginary) scalar, ScalarType? dtype = null, Device? device = null, bool requires_grad = false)
         {
-            device = InitializeDevice(device);
-            var handle = THSTensor_newComplexFloat32Scalar(scalar.Real, scalar.Imaginary, (int)device.type, device.index, requires_grad);
-            if (handle == IntPtr.Zero) { CheckForErrors(); }
-            return InstantiateTensorWithLeakSafeTypeChange(handle, dtype);
+            return tensor(scalar.Real, scalar.Imaginary, dtype: dtype, device: device);
         }
 
         /// <summary>