code: def gaussian(window_size, sigma):
      gauss = torch.Tensor(
          [
              exp(
                  -((x - window_size // 2) ** 2) / float(2 * sigma**2)
              )
              for x in range(window_size)
          ]
      )
      return gauss / gauss.sum()
  
file_path: TTS/TTS/tts/utils/ssim.py
imports: from math import exp
  import torch
  import torch.nn.functional
  from torch.autograd import Variable
label_desc: Use image node_id 1 for calling a global function with example usage: gaussian(window_size, sigma) and returns: unknown