Your code works, if I swap the undefined modules for nn.Identity (chomp and norm):
model = DepthwiseSeparableConv(1, 1, 3, 1, 1, 1)
out1, out2 = model(torch.randn(1, 1, 24))

Let me know, what I have to change in the code to reproduce this issue.