code: def _get_pyramid_gaussian_kernel() -> Tensor:
      """Utility function that return a pre-computed gaussian kernel."""
      return (
          tensor(
              [
                  [
                      [1.0, 4.0, 6.0, 4.0, 1.0],
                      [4.0, 16.0, 24.0, 16.0, 4.0],
                      [6.0, 24.0, 36.0, 24.0, 6.0],
                      [4.0, 16.0, 24.0, 16.0, 4.0],
                      [1.0, 4.0, 6.0, 4.0, 1.0],
                  ]
              ]
          )
          / 256.0
      )
  
imports: from __future__ import annotations
  import math
  import torch
  import torch.nn.functional
  from kornia.core import Module, Tensor, ones, pad, stack, tensor, zeros
  from kornia.core.check import KORNIA_CHECK, KORNIA_CHECK_IS_TENSOR, KORNIA_CHECK_SHAPE
  from kornia.filters import filter2d, gaussian_blur2d
label_desc: Use image node_id 1 for calling a global function with example usage: _get_pyramid_gaussian_kernel() and returns: unknown