how to get fusion feature?

[AnqiGou]

模型的输出层：
for i, module in enumerate(self.output_blocks):
if only_mid_control or control is None:
h = torch.cat([h, hs.pop()], dim=1)
else:
h = torch.cat([h, hs.pop() + control.pop()], dim=1)
h = module(h, emb, context)

    h = h.type(x.dtype)
    return self.out(h)

请问论文中的fusion feature是直接拼接后的特征h = torch.cat([h, hs.pop() + control.pop()], dim=1)，还是再经过各层后的输出 h = module(h, emb, context)？