code: def test_ray_tracing(self, room_dim, source, mic_array, num_rays):
      num_walls = 4 if len(room_dim) == 2 else 6
      num_bands = 3
  
      absorption = torch.rand(num_bands, num_walls, dtype=torch.float32)
      scattering = torch.rand(num_bands, num_walls, dtype=torch.float32)
  
      energy_thres = 1e-7
      time_thres = 10.0
      hist_bin_size = 0.004
      mic_radius = 0.5
      sound_speed = 343.0
  
      room_dim = torch.tensor(room_dim, dtype=self.dtype)
      source = torch.tensor(source, dtype=self.dtype)
      mic_array = torch.tensor(mic_array, dtype=self.dtype)
  
      self._assert_consistency(
          F.ray_tracing,
          (
              room_dim,
              source,
              mic_array,
              num_rays,
              absorption,
              scattering,
              mic_radius,
              sound_speed,
              energy_thres,
              time_thres,
              hist_bin_size,
          ),
      )
  
file_path: audio/test/torchaudio_unittest/prototype/functional/torchscript_consistency_test_impl.py
imports: import unittest
  import torch
  import torchaudio.prototype.functional
  from parameterized import parameterized
  from torchaudio_unittest.common_utils import skipIfNoRIR, TestBaseMixin, torch_script
label_desc: Use image node_id 4 for calling the TorchScriptConsistencyCPUOnlyTestImpl obj's underlying member method code with example usage: obj.test_ray_tracing(room_dim, source, mic_array, num_rays) without return types