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)