def METHOD_NAME(self):
    r"""Feed tensors with specific shape to HDemucs Decoder and validate
    that it outputs with a tensor with expected shape for frequency domain.
    """
    batch_size = 1
    chin, chout = 96, 48
    f_bins = 128
    t = 800
    stride = 4
    model = _HDecLayer(chin, chout).to(self.device).eval()
    x = torch.rand(batch_size, chin, f_bins, t, device=self.device, dtype=self.dtype)
    skip = torch.rand(batch_size, chin, f_bins, t, device=self.device, dtype=self.dtype)
    z, y = model(x, skip, t)
    assert z.size() == (batch_size, chout, f_bins * stride, t)
    assert y.size() == (batch_size, chin, f_bins, t)