code: def test_simulate_rir_ism_multi_band(self, channel):
      room_dim = torch.rand(3, dtype=self.dtype, device=self.device) + 5
      mic_array = (
          torch.rand(channel, 3, dtype=self.dtype, device=self.device)
          + 1
      )
      source = torch.rand(3, dtype=self.dtype, device=self.device) + 4
      max_order = 3
      absorption = torch.rand(
          7, 6, dtype=self.dtype, device=self.device
      )
      center_frequency = torch.tensor(
          [125, 250, 500, 1000, 2000, 4000, 8000],
          dtype=self.dtype,
          device=self.device,
      )
      self._assert_consistency(
          F.simulate_rir_ism,
          (
              room_dim,
              source,
              mic_array,
              max_order,
              absorption,
              None,
              81,
              center_frequency,
              343.0,
              16000.0,
          ),
      )
  
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 3 for calling the TorchScriptConsistencyCPUOnlyTestImpl obj's underlying member method code with example usage: obj.test_simulate_rir_ism_multi_band(channel) without return types