code: def forward(self, x):
      if self.ACROSS_CHANNELS:
          div = x.pow(2).unsqueeze(1)
          div = self.average(div).squeeze(1)
          div = div.mul(self.alpha).add(self.k).pow(self.beta)
      else:
          div = x.pow(2)
          div = self.average(div)
          div = div.mul(self.alpha).add(self.k).pow(self.beta)
      x = x.div(div)
      return x
  
imports: from __future__ import print_function, division, absolute_import
  import torch
  import torch.nn
  from torch.autograd import Variable
  import torch.utils.model_zoo
label_desc: Use image node_id 2 for calling the SpatialCrossMapLRN obj's underlying member method code with example usage: obj.forward(x) and returns: x