class_docstr: Laplace regularizer for a 2D convolutional layer.
code: def forward(self, x):
      ic, oc, k1, k2 = x.size()
      return self.laplace(x.view(ic * oc, 1, k1, k2)).abs().mean()
  
imports: import torch.nn
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the LaplaceL1 obj's underlying member method code with example usage: obj.forward(x) and returns: self