code: def hann_window(
      size: int,
      /,
      *,
      periodic: bool = True,
      dtype: Optional[torch.dtype] = None,
      out: Optional[torch.tensor] = None,
  ) -> torch.tensor:
      return torch.hann_window(
          size,
          periodic=periodic,
          dtype=dtype,
      )
  
file_path: ivy/ivy/functional/backends/torch/experimental/creation.py
imports: from typing import Optional, Tuple, Union
  import math
  import torch
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_unsupported_device_and_dtypes
  from ..None import backend_version
label_desc: Use image node_id 4 for calling a global function with example usage: hann_window() and returns: torch