def test_sliding_window_cmn(self, kwargs):
n_fft = 10
power = 1
spec = get_spectrogram(get_whitenoise(sample_rate=200,
duration=0.05,
n_channels=2),
n_fft=n_fft,
power=power)
spec_reshaped = spec.transpose(-1, -2)
transform = T.SlidingWindowCmn(**kwargs)
self.assert_grad(transform, [spec_reshaped])
def test_SlidingWindowCmn(self):
tensor = torch.rand((1000, 10))
self._assert_consistency(T.SlidingWindowCmn(), tensor)
