code: def get_gkern(kernlen, std):
      """Returns a 2D Gaussian kernel array."""
  
      def _gaussian_fn(kernlen, std):
          n = torch.arange(0, kernlen).float()
          n -= n.mean()
          n /= std
          w = torch.exp(-0.5 * n**2)
          return w
  
      gkern1d = _gaussian_fn(kernlen, std)
      gkern2d = torch.outer(gkern1d, gkern1d)
      return gkern2d / gkern2d.sum()
  
file_path: SlowFast/slowfast/models/utils.py
imports: import numpy
  import torch
  import slowfast.utils.logging
label_desc: Use image node_id 3 for calling a global function with example usage: get_gkern(kernlen, std) and returns: unknown, w