code: def test_simple_sphere_batched(self):
      device = torch.device("cuda:0")
      sphere_mesh = ico_sphere(1, device)
      verts_padded = sphere_mesh.verts_padded()
      verts_padded[..., 1] += 0.2
      verts_padded[..., 0] += 0.2
      pointclouds = Pointclouds(
          points=verts_padded, features=torch.ones_like(verts_padded)
      )
      batch_size = 20
      pointclouds = pointclouds.extend(batch_size)
      R, T = look_at_view_transform(2.7, 0.0, 0.0)
      cameras = FoVPerspectiveCameras(device=device, R=R, T=T)
      raster_settings = PointsRasterizationSettings(
          image_size=256, radius=5e-2, points_per_pixel=1
      )
      rasterizer = PointsRasterizer(
          cameras=cameras, raster_settings=raster_settings
      )
      compositor = NormWeightedCompositor()
      renderer = PointsRenderer(
          rasterizer=rasterizer, compositor=compositor
      )
  
      # Load reference image
      filename = "simple_pointcloud_sphere.png"
      image_ref = load_rgb_image("test_%s" % filename, DATA_DIR)
  
      images = renderer(pointclouds)
      for i in range(batch_size):
          rgb = images[i, ..., :3].squeeze().cpu()
          if i == 0 and DEBUG:
              filename = "DEBUG_%s" % filename
              Image.fromarray(
                  (rgb.numpy() * 255).astype(np.uint8)
              ).save(DATA_DIR / filename)
          self.assertClose(rgb, image_ref)
  
imports: import unittest
  import warnings
  from os import path
  import numpy
  import torch
  from PIL import Image
  from pytorch3d.renderer.cameras import FoVOrthographicCameras, FoVPerspectiveCameras, look_at_view_transform, OrthographicCameras, PerspectiveCameras
  from pytorch3d.renderer.compositing import alpha_composite, norm_weighted_sum
  from pytorch3d.renderer.fisheyecameras import FishEyeCameras
  from pytorch3d.renderer.points import AlphaCompositor, NormWeightedCompositor, PointsRasterizationSettings, PointsRasterizer, PointsRenderer, PulsarPointsRenderer
  from pytorch3d.structures.pointclouds import Pointclouds
  from pytorch3d.utils.ico_sphere import ico_sphere
  from .common_testing import get_pytorch3d_dir, get_tests_dir, load_rgb_image, TestCaseMixin
label_desc: Use image node_id 6 for calling the TestRenderPoints obj's underlying member method code with example usage: obj.test_simple_sphere_batched() without return types