code: def test_compute_deltas_twochannel(self):
      specgram = torch.tensor([1.0, 2.0, 3.0, 4.0]).repeat(1, 2, 1)
      expected = torch.tensor(
          [[[0.5, 1.0, 1.0, 0.5], [0.5, 1.0, 1.0, 0.5]]]
      )
      transform = transforms.ComputeDeltas(win_length=3)
      computed = transform(specgram)
      assert computed.shape == expected.shape, (
          computed.shape,
          expected.shape,
      )
      self.assertEqual(computed, expected, atol=1e-6, rtol=1e-8)
  
imports: import math
  import torch
  import torchaudio
  import torchaudio.functional
  import torchaudio.transforms
  from torchaudio_unittest import common_utils
label_desc: Use image node_id 16 for calling the Tester obj's underlying member method code with example usage: obj.test_compute_deltas_twochannel() without return types