code: def laplacian_smoothing_with_init(
      num_meshes: int,
      num_verts: int,
      num_faces: int,
      device: str = "cpu",
  ):
      device = torch.device(device)
      verts_list = []
      faces_list = []
      for _ in range(num_meshes):
          verts = torch.rand(
              (num_verts, 3), dtype=torch.float32, device=device
          )
          faces = torch.randint(
              num_verts,
              size=(num_faces, 3),
              dtype=torch.int64,
              device=device,
          )
          verts_list.append(verts)
          faces_list.append(faces)
      meshes = Meshes(verts_list, faces_list)
      torch.cuda.synchronize()
  
      def smooth():
          mesh_laplacian_smoothing(meshes, method="cotcurv")
          torch.cuda.synchronize()
  
      return smooth
  
file_path: pytorch3d/tests/test_mesh_laplacian_smoothing.py
imports: import unittest
  import torch
  from pytorch3d.loss.mesh_laplacian_smoothing import mesh_laplacian_smoothing
  from pytorch3d.structures.meshes import Meshes
label_desc: Use image node_id 7 for calling the TestLaplacianSmoothing obj's underlying member method code with example usage: obj.laplacian_smoothing_with_init(num_meshes, num_verts, num_faces, device) and returns: smooth