class_docstr: Laplace regularizer for a 2D convolutional layer.
code: def forward(self, x):
      ic, oc, k1, k2, k3 = x.size()
      return (
          self.laplace(x.view(ic * oc, 1, k1, k2, k3)).pow(2).mean() / 2
      )
  
imports: import torch.nn
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the LaplaceL23D obj's underlying member method code with example usage: obj.forward(x) and returns: unknown