code: def hann_window(
      size: int,
      /,
      *,
      periodic: bool = True,
      dtype: Optional[tf.DType] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if size < 2:
          return tf.ones([size], dtype=dtype)
      if periodic:
          return tf.signal.hann_window(
              size + 1, periodic=False, dtype=dtype
          )[:-1]
      else:
          return tf.signal.hann_window(
              size, periodic=False, dtype=dtype
          )
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/creation.py
imports: from typing import Union, Optional, Tuple
  import tensorflow
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_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: tf, tf, tf