code: def gelu(
      x: paddle.Tensor,
      /,
      *,
      approximate: bool = False,
      complex_mode="jax",
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      if paddle.is_complex(x):
          sqrt_2_over_pi = 0.7978845608
          # the other magic number comes directly from the formula in
          # https://doi.org/10.48550/arXiv.1606.08415
          return (
              0.5
              * x
              * (
                  1
                  + paddle_backend.tanh(
                      sqrt_2_over_pi * (x + 0.044715 * x * x * x)
                  )
              )
          )
      return F.gelu(x, approximate=approximate)
  
file_path: ivy/ivy/functional/backends/paddle/activations.py
imports: from typing import Optional, Union, Literal
  import paddle
  import paddle.nn.functional
  import ivy.functional.backends.paddle
  import ivy
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes
  from .None import backend_version
label_desc: Use image node_id 3 for calling a global function with example usage: gelu() and returns: F, unknown