No, these layers run in parallel. You can see this in the fastai code here: https://github.com/fastai/fastai/blob/8013797e05f0ae0d771d60ecf7cf524da591503c/fastai/layers.py#L176-L184
Basically this does: torch.cat([self.mp(x), self.ap(x)], 1) where mp and ap are the two pooling layers. Notice how both layers work on the same input, x?
Just because they’re shown one after the other in the summary, doesn’t mean that’s how they are connected. 