At first you should check if CUDA devices are available.
Then set the device variable with some value (e.g. 'cpu', 'cuda:0') and pass it to your_tensor.to() function.
Note: set a constant string value for the device is not an only option (if you want use tensor.to() for transfering to device), you may pass there a device value of some other tensor