docstr: Compares the outputs of the efficient ViewSampler module with a
  naive implementation.
docstr_tok: ["Compares","the","outputs","of","the","efficient","ViewSampler","module","with","a","naive","implementation","."]
code: def test_compare_with_naive(self):
      """
      Compares the outputs of the efficient ViewSampler module with a
      naive implementation.
      """
  
      (
          pts,
          camera,
          feats,
          masks,
          seq_id_camera,
          seq_id_pts,
      ) = self._init_view_sampler_problem(True)
  
      for masked_sampling in (True, False):
          feats_sampled_n, masks_sampled_n = _view_sample_naive(
              pts,
              seq_id_pts,
              camera,
              seq_id_camera,
              feats,
              masks,
              masked_sampling,
          )
          # make sure we generate the constructor for ViewSampler
          expand_args_fields(ViewSampler)
          view_sampler = ViewSampler(masked_sampling=masked_sampling)
          feats_sampled, masks_sampled = view_sampler(
              pts=pts,
              seq_id_pts=seq_id_pts,
              camera=camera,
              seq_id_camera=seq_id_camera,
              feats=feats,
              masks=masks,
          )
          for k in feats_sampled.keys():
              self.assertTrue(
                  torch.allclose(feats_sampled[k], feats_sampled_n[k])
              )
          self.assertTrue(
              torch.allclose(masks_sampled, masks_sampled_n)
          )
  
file_path: pytorch3d/tests/implicitron/test_viewsampling.py
imports: import unittest
  import pytorch3d
  import torch
  from pytorch3d.implicitron.models.view_pooler.view_sampler import ViewSampler
  from pytorch3d.implicitron.tools.config import expand_args_fields
label_desc: Use image node_id 3 for calling the TestViewsampling obj's underlying member method code with example usage: obj.test_compare_with_naive() without return types