code: def gelu(
      x: Tensor,
      /,
      *,
      approximate: bool = False,
      complex_mode="jax",
      out: Optional[Tensor] = None,
  ) -> Tensor:
      if x.dtype in [tf.complex64, tf.complex128]:
          return (
              0.5
              * x
              * (
                  1
                  + tf.math.tanh(
                      0.7978845608 * (x + 0.044715 * x * x * x)
                  )
              )
          )
      return tf.nn.gelu(x, approximate)
  
file_path: ivy/ivy/functional/backends/tensorflow/activations.py
imports: from typing import Optional, Union, Literal
  import tensorflow
  from tensorflow.python.types.core import Tensor
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
  import ivy.functional.backends.tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: gelu() and returns: tf, unknown