code: def test_outputs(self):
      for add_texture in (True, False):
          meshes = init_meshes(
              device=torch.device("cuda:0"), add_texture=add_texture
          )
          out1 = sample_points_from_meshes(meshes, num_samples=100)
          self.assertTrue(torch.is_tensor(out1))
  
          out2 = sample_points_from_meshes(
              meshes, num_samples=100, return_normals=True
          )
          self.assertTrue(isinstance(out2, tuple) and len(out2) == 2)
  
          if add_texture:
              out3 = sample_points_from_meshes(
                  meshes, num_samples=100, return_textures=True
              )
              self.assertTrue(
                  isinstance(out3, tuple) and len(out3) == 2
              )
  
              out4 = sample_points_from_meshes(
                  meshes,
                  num_samples=100,
                  return_normals=True,
                  return_textures=True,
              )
              self.assertTrue(
                  isinstance(out4, tuple) and len(out4) == 3
              )
          else:
              with self.assertRaisesRegex(
                  ValueError, "Meshes do not contain textures."
              ):
                  sample_points_from_meshes(
                      meshes, num_samples=100, return_textures=True
                  )
  
              with self.assertRaisesRegex(
                  ValueError, "Meshes do not contain textures."
              ):
                  sample_points_from_meshes(
                      meshes,
                      num_samples=100,
                      return_normals=True,
                      return_textures=True,
                  )
  
imports: import unittest
  import numpy
  import torch
  from PIL import Image
  from pytorch3d.io import load_objs_as_meshes
  from pytorch3d.ops import sample_points_from_meshes
  from pytorch3d.renderer import TexturesVertex
  from pytorch3d.renderer.cameras import FoVPerspectiveCameras, look_at_view_transform
  from pytorch3d.renderer.mesh.rasterize_meshes import barycentric_coordinates
  from pytorch3d.renderer.points import NormWeightedCompositor, PointsRasterizationSettings, PointsRasterizer, PointsRenderer
  from pytorch3d.structures import Meshes, Pointclouds
  from pytorch3d.utils.ico_sphere import ico_sphere
  from .common_testing import get_pytorch3d_dir, get_random_cuda_device, get_tests_dir, TestCaseMixin
label_desc: Use image node_id 7 for calling the TestSamplePoints obj's underlying member method code with example usage: obj.test_outputs() without return types