code: def gelu(
      x: np.ndarray,
      /,
      *,
      approximate: bool = False,
      complex_mode="jax",
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if approximate:
          ret = (
              0.5
              * x
              * (1 + np.tanh(0.7978845608 * (x + 0.044715 * x * x * x)))
          )
      else:
          ret = 0.5 * x * (1 + ivy.erf(x / np.sqrt(2)))
      return ivy.astype(ret, x.dtype, copy=False)
  
file_path: ivy/ivy/functional/backends/numpy/activations.py
imports: from typing import Optional, Union, Literal
  import numpy
  import ivy
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
label_desc: Use image node_id 3 for calling a global function with example usage: gelu() and returns: ivy