code: def _hour_glass_forward(self, n: int, x: Tensor) -> Tensor:
      up1 = self.hg[n - 1][0](x)
      low1 = F.max_pool2d(x, 2, stride=2)
      low1 = self.hg[n - 1][1](low1)
  
      if n > 1:
          low2 = self._hour_glass_forward(n - 1, low1)
      else:
          low2 = self.hg[n - 1][3](low1)
      low3 = self.hg[n - 1][2](low2)
      up2 = F.interpolate(low3, size=up1.shape[2:])
      out = up1 + up2
      return out
  
imports: from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Type, Union
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.nn.functional import pixel_shuffle, softmax
  from kornia.core import Module, Tensor
label_desc: Use image node_id 4 for calling the Hourglass obj's underlying member method code with example usage: obj._hour_glass_forward(n, x) and returns: out