code: def forward(self, verts, faces):
      with torch.no_grad():
          L = self.laplacian_uniform(verts, faces.long())
      loss = L.mm(verts)
      loss = loss.norm(dim=1)
      loss = loss.mean()
      return loss
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the LaplacianSmoothLoss obj's underlying member method code with example usage: obj.forward(verts, faces) and returns: loss