code: def test_loaders(self):
      if inside_re_worker:
          return
      args = get_default_args(ImplicitronDataSource)
      args.dataset_map_provider_class_type = "BlenderDatasetMapProvider"
      dataset_args = (
          args.dataset_map_provider_BlenderDatasetMapProvider_args
      )
      dataset_args.object_name = "lego"
      dataset_args.base_dir = (
          "manifold://co3d/tree/nerf_data/nerf_synthetic/lego"
      )
  
      data_source = ImplicitronDataSource(**args)
      _, data_loaders = data_source.get_datasets_and_dataloaders()
      for i in data_loaders.train:
          self.assertEqual(i.frame_type, ["known"])
          self.assertEqual(i.image_rgb.shape, (1, 3, 800, 800))
      for i in data_loaders.val:
          self.assertEqual(i.frame_type, ["unseen"])
          self.assertEqual(i.image_rgb.shape, (1, 3, 800, 800))
      for i in data_loaders.test:
          self.assertEqual(i.frame_type, ["unseen"])
          self.assertEqual(i.image_rgb.shape, (1, 3, 800, 800))
  
      cameras = data_source.all_train_cameras
      self.assertIsInstance(cameras, PerspectiveCameras)
      self.assertEqual(len(cameras), 100)
  
file_path: pytorch3d/tests/implicitron/test_data_llff.py
imports: import os
  import unittest
  import torch
  from pytorch3d.implicitron.dataset.blender_dataset_map_provider import BlenderDatasetMapProvider
  from pytorch3d.implicitron.dataset.data_source import ImplicitronDataSource
  from pytorch3d.implicitron.dataset.dataset_base import FrameData
  from pytorch3d.implicitron.dataset.llff_dataset_map_provider import LlffDatasetMapProvider
  from pytorch3d.implicitron.tools.config import expand_args_fields, get_default_args
  from pytorch3d.renderer import PerspectiveCameras
  from tests.common_testing import TestCaseMixin
label_desc: Use image node_id 4 for calling the TestDataLlff obj's underlying member method code with example usage: obj.test_loaders() without return types