code: def rfft(x, fft_length=None):
      complex_output = np.fft.rfft(
          x, n=fft_length, axis=-1, norm="backward"
      )
      # numpy always outputs complex128, so we need to recast the dtype
      return (
          np.real(complex_output).astype(x.dtype),
          np.imag(complex_output).astype(x.dtype),
      )
  
imports: import numpy
  from keras.backend import standardize_dtype
  from keras.backend.jax.math import fft
  from keras.backend.jax.math import fft2
  from keras.backend.numpy.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: np,  np