code: def add_pytorch3d_cache(scene, device):
      for i, cap in enumerate(scene.captures):
          cap.posed_mesh = pytorch3d.structures.Meshes(
              verts=torch.from_numpy(scene.verts[i])[None],
              faces=torch.from_numpy(scene.faces[:, :3])[None],
          ).to(device)
          cap.can_mesh = pytorch3d.structures.Meshes(
              verts=torch.from_numpy(scene.static_vert[i])[None],
              faces=torch.from_numpy(scene.faces[:, :3])[None],
          ).to(device)
          cap.posed_mesh_cpu = pytorch3d.structures.Meshes(
              verts=torch.from_numpy(scene.verts[i])[None],
              faces=torch.from_numpy(scene.faces[:, :3])[None],
          ).to("cpu")
          cap.can_mesh_cpu = pytorch3d.structures.Meshes(
              verts=torch.from_numpy(scene.static_vert[i])[None],
              faces=torch.from_numpy(scene.faces[:, :3])[None],
          ).to("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 16 for calling a global function with example usage: add_pytorch3d_cache(scene, device) without return types