code: def test_features_multimic(device):
      from speechbrain.processing.features import Filterbank
  
      compute_fbanks = Filterbank().to(device)
      inputs = torch.rand([10, 101, 201], device=device)
      output = compute_fbanks(inputs)
      inputs_ch2 = torch.stack((inputs, inputs), -1)
      output_ch2 = compute_fbanks(inputs_ch2)
      output_ch2 = output_ch2[..., 0]
      assert torch.sum(output - output_ch2) < 5e-05
  
imports: import torch
label_desc: Use image node_id 7 for calling a global function with example usage: test_features_multimic(device) without return types