code: def fft_convolve(signal, kernel):
      signal = nn.functional.pad(signal, (0, signal.shape[-1]))
      kernel = nn.functional.pad(kernel, (kernel.shape[-1], 0))
  
      output = fft.irfft(fft.rfft(signal) * fft.rfft(kernel))
      output = output[..., output.shape[-1] // 2 :]
  
      return output
  
imports: import math
  import librosa
  import numpy
  import torch
  import torch.fft
  import torch.nn
  from scipy.signal import get_window
label_desc: Use image node_id 14 for calling a global function with example usage: fft_convolve(signal, kernel) and returns: output