value 1.
Parameters:
      * window_length (int) -- the size of returned window
  * **periodic** (*bool**, **optional*) -- If True, returns a
    window to be used as periodic function. If False, return a
    symmetric window.

Keyword Arguments:
      * dtype ("torch.dtype", optional) -- the desired data type
        of returned tensor. Default: if "None", uses a global default
        (see "torch.set_default_tensor_type()"). Only floating point
        types are supported.
  * **layout** ("torch.layout", optional) -- the desired layout of
    returned window tensor. Only "torch.strided" (dense layout) is
    supported.

  * **device** ("torch.device", optional) -- the desired device of
    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.
