code: def i0(
      x: paddle.Tensor,
      /,
      *,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      def _i0_1(x):
          return paddle_backend.multiply(
              paddle_backend.exp(x),
              _chbevl(
                  paddle_backend.subtract(
                      paddle_backend.divide(x, 2.0), 2.0
                  ),
                  _i0A,
              ),
          )
  
      def _i0_2(x):
          return paddle_backend.divide(
              paddle_backend.multiply(
                  paddle_backend.exp(x),
                  _chbevl(
                      paddle_backend.subtract(
                          paddle_backend.divide(32.0, x), 2.0
                      ),
                      _i0B,
                  ),
              ),
              paddle_backend.sqrt(x),
          )
  
      def _chbevl(x, vals):
          b0 = vals[0]
          b1 = 0.0
  
          for i in range(1, len(vals)):
              b2 = b1
              b1 = b0
              b0 = paddle_backend.add(
                  paddle_backend.subtract(
                      paddle_backend.multiply(x, b1), b2
                  ),
                  vals[i],
              )
          return paddle_backend.multiply(
              0.5, paddle_backend.subtract(b0, b2)
          )
  
      x = paddle_backend.abs(x)
      return paddle_backend.where(
          paddle_backend.less_equal(x, 8.0), _i0_1(x), _i0_2(x)
      )
  
imports: from collections import namedtuple
  from typing import Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable
  from numbers import Number
  from ..None import backend_version
  from ivy.func_wrapper import with_supported_device_and_dtypes, with_unsupported_device_and_dtypes, with_supported_dtypes, with_unsupported_dtypes
  import paddle
  import ivy
  import ivy.functional.backends.paddle
  from ivy.functional.ivy.experimental.manipulation import _check_paddle_pad, _to_paddle_padding
label_desc: Use image node_id 10 for calling a global function with example usage: i0() and returns: paddle_backend, paddle_backend, paddle_backend, paddle_backend