I don't get the logic of the intermediate output

[Golbstein]

Hi, I'm trying to use the model to predict given 2 context images.
But it always predicts 3 different gaussian worlds, i.e., means vector of shape: 3xNx3
I see that in the training step you call it "intermediate output" or "supervise_intermediate_depth"

What's the purpose of that? Why do you get 3 different depth maps of each context image?
Thank you