code: def _gaussian(self, sigma):
      gauss = torch.Tensor(
          [
              np.exp(
                  -((x - self.window_size // 2) ** 2)
                  / float(2 * sigma**2)
              )
              for x in range(self.window_size)
          ]
      )
      return gauss / gauss.sum()
  
file_path: benchmark_VAE/src/pythae/models/msssim_vae/msssim_vae_utils.py
imports: import numpy
  import torch
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the MSSSIM obj's underlying member method code with example usage: obj._gaussian(sigma) and returns: unknown