fix: unify the torch.Tensor.cuda frontends

ivy/functional/frontends/torch/tensor.py

@@ -126,11 +126,6 @@ def itemsize(self):
  # Setters #
  # --------#
 
- @device.setter
- def cuda(self, device=None):
- self.device = device
- return self
-
  @ivy_array.setter
  def ivy_array(self, array):
  self._ivy_array = array if isinstance(array, ivy.Array) else ivy.array(array)
@@ -728,8 +723,8 @@ def detach_(self):
  def cpu(self):
  return ivy.to_device(self.ivy_array, "cpu")
 
- def cuda(self):
- return ivy.to_device(self.ivy_array, "gpu:0")
+ def cuda(self, device=None, non_blocking=False, memory_format=None):
+ return self.to("cuda" if device is None else device)
 
  @with_unsupported_dtypes({"2.2 and below": ("uint16",)}, "torch")
  @numpy_to_torch_style_args