code: def gelu(x, approximate=True):
      x = convert_to_tensor(x)
      # followd by JAX's implementation
      if approximate:
          sqrt_2_over_pi = np.sqrt(2 / np.pi).astype(x.dtype)
          cdf = np.array(0.5, x.dtype) * (
              np.array(1.0, x.dtype)
              + np.tanh(
                  sqrt_2_over_pi
                  * (
                      x
                      + np.array(0.044715, x.dtype)
                      * (x**3).astype(x.dtype)
                  )
              )
          )
          return x * cdf
      else:
          sqrt_2 = np.sqrt(2).astype(x.dtype)
          return (
              x
              * (scipy.special.erf(x / sqrt_2) + 1).astype(x.dtype)
              / np.array(2, x.dtype)
          )
  
imports: import jax
  import numpy
  from jax import lax
  from jax import numpy
  from keras.backend import standardize_data_format
  from keras.backend import standardize_dtype
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_jax
  from keras.backend.config import epsilon
  from keras.backend.numpy.core import cast
  from keras.backend.numpy.core import convert_to_tensor
  from keras.backend.numpy.core import is_tensor
  from keras.utils.module_utils import scipy
label_desc: Use image node_id 14 for calling a global function with example usage: gelu(x, approximate) and returns: unknown, unknown