code: def rfft(x, fft_length=None):
      complex_output = jnp.fft.rfft(
          x, n=fft_length, axis=-1, norm="backward"
      )
      return jnp.real(complex_output), jnp.imag(complex_output)
  
imports: import math
  import jax
  import jax.numpy
  from keras.backend import standardize_dtype
  from keras.backend.jax.core import convert_to_tensor
  from keras.utils.module_utils import scipy
label_desc: Use image node_id 11 for calling a global function with example usage: rfft(x, fft_length) and returns: jnp,  jnp