code: def test_srn_hypernet_implicit_function(self):
      # TODO investigate: If latent_dim_hypernet=0, why does this crash and dump core?
      latent_dim_hypernet = 39
      device = torch.device("cuda:0")
      implicit_function = SRNHyperNetImplicitFunction(
          latent_dim_hypernet=latent_dim_hypernet
      )
      implicit_function.to(device)
      global_code = torch.rand(
          _BATCH_SIZE, latent_dim_hypernet, device=device
      )
      bundle = self._get_bundle(device=device)
      rays_densities, rays_colors = implicit_function(
          ray_bundle=bundle, global_code=global_code
      )
      out_features = implicit_function.hypernet.out_features
      self.assertEqual(
          rays_densities.shape,
          (_BATCH_SIZE, _N_RAYS, _N_POINTS_ON_RAY, out_features),
      )
      self.assertIsNone(rays_colors)
  
file_path: pytorch3d/tests/implicitron/test_srn.py
imports: import unittest
  import torch
  from pytorch3d.implicitron.models.generic_model import GenericModel
  from pytorch3d.implicitron.models.implicit_function.scene_representation_networks import SRNHyperNetImplicitFunction, SRNImplicitFunction, SRNPixelGenerator
  from pytorch3d.implicitron.models.renderer.ray_sampler import ImplicitronRayBundle
  from pytorch3d.implicitron.tools.config import get_default_args
  from pytorch3d.renderer import PerspectiveCameras
  from tests.common_testing import TestCaseMixin
label_desc: Use image node_id 5 for calling the TestSRN obj's underlying member method code with example usage: obj.test_srn_hypernet_implicit_function() without return types