code: def test_init_error(self):
      # Check if correct errors are raised when verts/faces are on
      # different devices
  
      clouds = self.init_cloud(10, 100, 5)
      points_list = clouds.points_list()  # all tensors on cuda:0
      points_list = [
          p.to("cpu") if random.uniform(0, 1) > 0.5 else p
          for p in points_list
      ]
      features_list = clouds.features_list()
      normals_list = clouds.normals_list()
  
      with self.assertRaisesRegex(ValueError, "same device"):
          Pointclouds(
              points=points_list,
              features=features_list,
              normals=normals_list,
          )
  
      points_list = clouds.points_list()
      features_list = [
          f.to("cpu") if random.uniform(0, 1) > 0.2 else f
          for f in features_list
      ]
      with self.assertRaisesRegex(ValueError, "same device"):
          Pointclouds(
              points=points_list,
              features=features_list,
              normals=normals_list,
          )
  
      points_padded = clouds.points_padded()  # on cuda:0
      features_padded = clouds.features_padded().to("cpu")
      normals_padded = clouds.normals_padded()
  
      with self.assertRaisesRegex(ValueError, "same device"):
          Pointclouds(
              points=points_padded,
              features=features_padded,
              normals=normals_padded,
          )
  
imports: import itertools
  import random
  import unittest
  import numpy
  import torch
  from pytorch3d.structures import utils
  from pytorch3d.structures.pointclouds import join_pointclouds_as_batch, join_pointclouds_as_scene, Pointclouds
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 4 for calling the TestPointclouds obj's underlying member method code with example usage: obj.test_init_error() without return types