code: def overlap_add(X, stride):
      n_fft = X.shape[1]
      output_len = n_fft + stride * (X.shape[2] - 1)
  
      return fold(
          X, (1, output_len), kernel_size=(1, n_fft), stride=stride
      ).flatten(1)
  
imports: import sys
  import torch
  from torch.nn.functional import conv1d, fold
  import numpy
  from time import time
  import math
  from scipy.signal import get_window
  from scipy import signal
  from scipy.fftpack import fft
  import warnings
  from nnAudio.librosa_functions import *
label_desc: Use image node_id 3 for calling a global function with example usage: overlap_add(X, stride) and returns: fold