I think doing x = torch.randn(1, 3, 6) # batch size 1, 3 channels, 6 length of sequence a = nn.Conv1d(3, 6, 3) # in channels 3, out channels 6, kernel size 3 gn = nn.GroupNorm(1, 6) gn(a(x)) tensor([[[-0.1459, 0.5860, 0.1771, 1.1413], [-0.8613, 2.7552, -1.0135, 0.8898], [-0.1119, -0.1656, …