returned tensor. Default: if "None", uses the current device
        for the default tensor type (see
        "torch.set_default_tensor_type()"). "device" will be the CPU
        for CPU tensor types and the current CUDA device for CUDA
        tensor types.
  * **requires_grad** (*bool**, **optional*) -- If autograd should
    record operations on the returned tensor. Default: "False".

Example:
  >>> torch.full((2, 3), 3.141592)
  tensor([[ 3.1416,  3.1416,  3.1416],
          [ 3.1416,  3.1416,  3.1416]])
