code: def irfft(x, fft_length=None):
      complex_input = _get_complex_tensor_from_tuple(x)
      if fft_length is not None:
          fft_length = [fft_length]
      return tf.signal.irfft(complex_input, fft_length)
  
file_path: keras/keras/backend/tensorflow/math.py
imports: import tensorflow
  from keras.backend import standardize_dtype
  from keras.backend.tensorflow.core import convert_to_tensor
label_desc: Use image node_id 12 for calling a global function with example usage: irfft(x, fft_length) and returns: tf