code: def fft(x):
      complex_input = _get_complex_tensor_from_tuple(x)
      complex_output = torch.fft.fft(complex_input)
      return complex_output.real, complex_output.imag
  
imports: import math
  import torch
  from keras.backend import standardize_dtype
  from keras.backend.torch.core import convert_to_tensor
  from keras.backend.torch.core import get_device
  from keras.backend.torch.numpy import pad
label_desc: Use image node_id 10 for calling a global function with example usage: fft(x) and returns: complex_output,  complex_output