code: def move_smpls_to_torch(scene, device):
      sources = [scene.verts, scene.Ts]
      for i in range(2):
          source = sources[i]
          temp = []
          temp_cpu = []
          for item in source:
              temp.append(torch.from_numpy(item).float().to(device))
              temp_cpu.append(torch.from_numpy(item).float().to("cpu"))
          if i == 0:
              scene.verts = temp
              scene.verts_cpu = temp_cpu
          if i == 1:
              scene.Ts = temp
              scene.Ts_cpu = temp_cpu
  
imports: import os
  import random
  import numpy
  import open3d
  import torch
  import pytorch3d
  import matplotlib.pyplot
  import matplotlib
  from scipy import ndimage
  from tqdm import tqdm
  from models.smpl import SMPL, vertices2joints
label_desc: Use image node_id 17 for calling a global function with example usage: move_smpls_to_torch(scene, device) without return types