code: def kaiser_window(
      window_length: int,
      periodic: bool = True,
      beta: float = 12.0,
      *,
      dtype: Optional[paddle.dtype] = None,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      if window_length < 2:
          return paddle.ones([window_length], dtype=dtype)
      if periodic is False:
          return _kaiser_window(window_length, beta).cast(dtype)
      else:
          return _kaiser_window(window_length + 1, beta)[:-1].cast(
              dtype
          )
  
file_path: ivy/ivy/functional/backends/paddle/experimental/creation.py
imports: from typing import Optional, Tuple, Union
  import math
  import paddle
  import ivy.functional.backends.paddle
  from paddle.device import core
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_device_and_dtypes
  import ivy
  from ..None import backend_version
label_desc: Use image node_id 2 for calling a global function with example usage: kaiser_window(window_length, periodic, beta) and returns: paddle, _kaiser_window, _kaiser_window